diff --git a/data/data_analyst_20240806.csv b/data/data_analyst_20240806.csv new file mode 100644 index 0000000..e93629a --- /dev/null +++ b/data/data_analyst_20240806.csv @@ -0,0 +1,14245 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +3978709341,https://de.linkedin.com/jobs/view/data-analyst-d-m-w-at-akkodis-3978709341?position=1&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=w3GotclrMzHQ9m11FKtA3Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (d/m/w),Akkodis,"Berlin, Germany","Sind Sie auf der Suche nach neuen und spannenden Herausforderungen? Dann beginnen Sie Ihre Karriere bei uns und werden Sie Teil eines unserer Kundenprojekte. + + + + +IHRE AUFGABENSCHWERPUNKTE + +Extrahierung und Sammlung von Daten aus verschiedenen Quellen, darunter Logdateien, Datenbanken und Monitoring-Tools +Bereinigung, Transformation und Standardisierung von Daten, um ihre Qualität und Konsistenz sicherzustellen +Automatisierung von Datenerfassungs- und Bereinigungsprozessen +Durchführung von Leistungsanalysen und Erstellung von Prognosemodellen +Entwicklung von Dashboards und Berichten zur Visualisierung von Leistungsindikatoren, Sicherheitsmetriken und anderen relevanten Kennzahlen + + + + + + + +WAS SIE DAFÜR MITBRINGEN + +Abgeschlossenes Studium in Informatik, Datenwissenschaft, Statistik oder einem verwandten Bereich +Mindestens zwei Jahre Berufserfahrung in der Datenanalyse, vorzugsweise im IT-Bereich +Fundierte Kenntnisse in Datenbankabfragesprachen wie SQL sowie Programmierkenntnisse in Python, R oder ähnlichen Sprachen +Erfahrung mit Tools und Technologien zur Datenvisualisierung, wie z.B. Tableau, Grafana oder Kibana +Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Probleme zu lösen +Sehr gute Deutsch- und Englischkenntnisse + + + + + + + +WARUM SIE BEI UNS GENAU RICHTIG SIND + +Es besteht die Möglichkeit zum Teil remote zu arbeiten und somit von den Vorteilen hybrider Arbeit zu profitieren (flexibles Arbeiten) +Teamspirit und Diversität +Work-Life-Balance +Attraktive Vergütung +Sozialleistungen +Vielseitige Weiterbildungsmöglichkeiten +Team- und Sportevents +Globales Netzwerk +Attraktives Mitarbeiterempfehlungsprogramm + + + + + + + +Die Benefits können je nach Position und Standort variieren. Eine Übersicht über unsere Benefits befindet sich auf unserer Webseite unterhalb Karriere und Benefits. + + + + +Senden Sie uns direkt Ihre Bewerbung zu. Für Rückfragen stehen wir Ihnen gerne zur Verfügung. + + + + +Wir freuen uns über die Bewerbung von Menschen, die zur Vielfalt unseres Unternehmens beitragen. + +Show more ","
+ + + + + +
+
+

Sind Sie auf der Suche nach neuen und spannenden Herausforderungen? Dann beginnen Sie Ihre Karriere bei uns und werden Sie Teil eines unserer Kundenprojekte.


IHRE AUFGABENSCHWERPUNKTE

  • Extrahierung und Sammlung von Daten aus verschiedenen Quellen, darunter Logdateien, Datenbanken und Monitoring-Tools
  • Bereinigung, Transformation und Standardisierung von Daten, um ihre Qualität und Konsistenz sicherzustellen
  • Automatisierung von Datenerfassungs- und Bereinigungsprozessen
  • Durchführung von Leistungsanalysen und Erstellung von Prognosemodellen
  • Entwicklung von Dashboards und Berichten zur Visualisierung von Leistungsindikatoren, Sicherheitsmetriken und anderen relevanten Kennzahlen



WAS SIE DAFÜR MITBRINGEN

  • Abgeschlossenes Studium in Informatik, Datenwissenschaft, Statistik oder einem verwandten Bereich
  • Mindestens zwei Jahre Berufserfahrung in der Datenanalyse, vorzugsweise im IT-Bereich
  • Fundierte Kenntnisse in Datenbankabfragesprachen wie SQL sowie Programmierkenntnisse in Python, R oder ähnlichen Sprachen
  • Erfahrung mit Tools und Technologien zur Datenvisualisierung, wie z.B. Tableau, Grafana oder Kibana
  • Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Probleme zu lösen
  • Sehr gute Deutsch- und Englischkenntnisse



WARUM SIE BEI UNS GENAU RICHTIG SIND

  • Es besteht die Möglichkeit zum Teil remote zu arbeiten und somit von den Vorteilen hybrider Arbeit zu profitieren (flexibles Arbeiten)
  • Teamspirit und Diversität
  • Work-Life-Balance
  • Attraktive Vergütung
  • Sozialleistungen
  • Vielseitige Weiterbildungsmöglichkeiten
  • Team- und Sportevents
  • Globales Netzwerk
  • Attraktives Mitarbeiterempfehlungsprogramm



Die Benefits können je nach Position und Standort variieren. Eine Übersicht über unsere Benefits befindet sich auf unserer Webseite unterhalb Karriere und Benefits.


Senden Sie uns direkt Ihre Bewerbung zu. Für Rückfragen stehen wir Ihnen gerne zur Verfügung.


Wir freuen uns über die Bewerbung von Menschen, die zur Vielfalt unseres Unternehmens beitragen.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3980308268,https://de.linkedin.com/jobs/view/data-analyst-m-f-d-at-oetker-digital-3980308268?position=2&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=gpJl2jKcQVWteTejgVVlrw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (m/f/d),Oetker Digital,"Berlin, Berlin, Germany","Job Description + +Data Analyst (m/f/d) + +THIS IS US + +At Oetker Digital, we partner with the Oetker Group companies to define what digital business transformation means and to create business value and impact based on data, technology and talents, so that they can unlock their digital future. We support many beloved brands such as Dr. Oetker, Radeberger and Coppenrath & Wiese. + +With our team of about 100 talented individuals from diverse backgrounds, based in our Berlin headquarters, we foster an open, positive learning culture, driven by our shared values and the spirit of a family-run company. + +THE ROLE We are looking for a talented Data Analyst to join our innovative and international Data & Insights team. By understanding the data needs of our stakeholders, you'll provide valuable insights and clear recommendations to support our data-driven decision-making process. + +What You'll Do + + +Dive into complex marketing data sets to uncover trends and insights that drive key business decisions. Your work will have a direct impact on the strategy and growth of our group companies +Collaborate with a forward-thinking team that embraces the latest technologies and methodologies. We believe in continuous learning and innovation +Partner closely with team members and external business stakeholders to understand their data needs and objectives +Act as a consultant, using probing questions to gain deep insights into the business domain and processes +Communicate insights in a compelling and accessible manner to support data-driven decision-making + + + +Requirements + +WHAT YOU'LL BRING + + +At least 3 years of experience in data analysis or data consulting, preferably within a business context, preferably in Consulting +A Bachelor’s or Master’s degree in a related field (e.g., Economics, Statistics, Mathematics, Computer Science) +Proficient in SQL and/or Python for data analysis and modeling +Experiences with Marketing Data and Analytics, as well as Retail Media and Customer Analytics would be a big plus +Familiarity with Cloud platforms for data storage and processing, having worked with BigQuery is a plus +Strong abilities in generating reports using data visualization tools such as Power BI or Tableau +A proactive and collaborative mindset, with the ability to work effectively in cross-functional teams +Strong analytical and problem-solving skills with the ability to communicate complex ideas clearly +A passion for learning, hands-on work, taking ownership, and making an impact +Fluent in German and English + + + +What We Offer + + +Modern and dog friendly office located at the heart of Berlin +Hybrid working model with flexible working hours for a healthy work-life balance +We work in cross-functional and international teams and have regular company/team events +28 days of paid vacation, plus Christmas and New Year’s Eve off, as well as the possibility to take a sabbatical or additional unpaid leave +10 paid child’s sick days per year +Annual learning and development budget purchase educational resources up to €1.500 +Equipment of your choice: Macbook or Lenovo, plus additional devices for your home office set up +In house conversational German classes for beginners +Subsidized Urban Sports Club Membership or BVG Deutschland Ticket +Mental well-being support, including individual sessions, through our partner Likeminded +Premium relocation support for colleagues outside of Germany: visa application support, assistance with searching temporary accommodation, payment of the first monthly rent +Company pension scheme and personal accident insurance +Corporate discounts from a wide range of external partners + +Show more ","
+ + + + + +
+
+ Job Description

Data Analyst (m/f/d)

THIS IS US

At Oetker Digital, we partner with the Oetker Group companies to define what digital business transformation means and to create business value and impact based on data, technology and talents, so that they can unlock their digital future. We support many beloved brands such as Dr. Oetker, Radeberger and Coppenrath & Wiese.

With our team of about 100 talented individuals from diverse backgrounds, based in our Berlin headquarters, we foster an open, positive learning culture, driven by our shared values and the spirit of a family-run company.

THE ROLE We are looking for a talented Data Analyst to join our innovative and international Data & Insights team. By understanding the data needs of our stakeholders, you'll provide valuable insights and clear recommendations to support our data-driven decision-making process.

What You'll Do

  • Dive into complex marketing data sets to uncover trends and insights that drive key business decisions. Your work will have a direct impact on the strategy and growth of our group companies
  • Collaborate with a forward-thinking team that embraces the latest technologies and methodologies. We believe in continuous learning and innovation
  • Partner closely with team members and external business stakeholders to understand their data needs and objectives
  • Act as a consultant, using probing questions to gain deep insights into the business domain and processes
  • Communicate insights in a compelling and accessible manner to support data-driven decision-making


Requirements

WHAT YOU'LL BRING

  • At least 3 years of experience in data analysis or data consulting, preferably within a business context, preferably in Consulting
  • A Bachelor’s or Master’s degree in a related field (e.g., Economics, Statistics, Mathematics, Computer Science)
  • Proficient in SQL and/or Python for data analysis and modeling
  • Experiences with Marketing Data and Analytics, as well as Retail Media and Customer Analytics would be a big plus
  • Familiarity with Cloud platforms for data storage and processing, having worked with BigQuery is a plus
  • Strong abilities in generating reports using data visualization tools such as Power BI or Tableau
  • A proactive and collaborative mindset, with the ability to work effectively in cross-functional teams
  • Strong analytical and problem-solving skills with the ability to communicate complex ideas clearly
  • A passion for learning, hands-on work, taking ownership, and making an impact
  • Fluent in German and English


What We Offer

  • Modern and dog friendly office located at the heart of Berlin
  • Hybrid working model with flexible working hours for a healthy work-life balance
  • We work in cross-functional and international teams and have regular company/team events
  • 28 days of paid vacation, plus Christmas and New Year’s Eve off, as well as the possibility to take a sabbatical or additional unpaid leave
  • 10 paid child’s sick days per year
  • Annual learning and development budget purchase educational resources up to €1.500
  • Equipment of your choice: Macbook or Lenovo, plus additional devices for your home office set up
  • In house conversational German classes for beginners
  • Subsidized Urban Sports Club Membership or BVG Deutschland Ticket
  • Mental well-being support, including individual sessions, through our partner Likeminded
  • Premium relocation support for colleagues outside of Germany: visa application support, assistance with searching temporary accommodation, payment of the first monthly rent
  • Company pension scheme and personal accident insurance
  • Corporate discounts from a wide range of external partners
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3965979296,https://de.linkedin.com/jobs/view/data-analyst-decision-scientist-help-experience-at-vinted-3965979296?position=4&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=Ng3fpko86LLQbclne1Hujw%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst / Decision Scientist, Help Experience",Vinted,"Berlin, Berlin, Germany","Brief info about Vinted + +Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 22 markets in Europe and North America. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life. + +Vinted Go launched in 2022, with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 40 carriers and more than 200,000 PUDO points across Europe to support the delivery of millions of parcels per year. + +The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. It is backed by six leading venture capital firms: Accel, Burda Principal Investments, EQT Growth, Insight Partners, Lightspeed Venture Partners, and Sprints Capital. + +Information about the position + +As our new Decision Scientist, you’ll become part of a cross-functional team in the Help Experience domain with a mission to enable an effortless, scalable and cost effective support experience for our Vinted members. Your team’s focus will be on supporting our Member Support function and enabling quality and efficiency improvements through automation, self-service, and operational excellence. + +We’re looking for someone who is a strategic thinker, a problem solver, with a strong data background, who aims high. You like to work in a fast-changing environment, and you are passionate about the product we’re building together. + +Next to the product team you will be part of the cross-domain Data Science & Analytics (DSA) guild where you will interact and learn from all data people in Vinted. Within Data Science & Analytics (DSA) we have three distinct roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department: + + +Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision making. +Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines. +Data Scientists are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms. + + +You will report to the Director of data science & analytics in Help Experience and work closely with other leaders in the domain, particularly in the data science & analytics and product functions. + +In this position, you’ll + + +Collaborate with your team and direct stakeholders to identify strategic opportunities and answer key business questions +Ensure these questions are answered in an optimal fashion (e.g. in the form of an ad hoc deep-dive, experiment, dashboard, or automatically recurring analysis) +Analyze identified opportunities to understand their scope and impact (i.e. size opportunities) +Own the key performance indicators for a team, including selection, tracking, forecasting, and proactively flagging issues +Enable your team and direct stakeholders to independently leverage data for business insights via self-serving and dashboarding tools (Looker) +Define the requirements for (A/B) testing and analyze the results of (A/B) tests +Help to create a backlog with prioritized hypotheses and analyses + + +About You + + +Demonstratable experience as a Decision Scientist, Data Analyst, Product Analyst or a Strategic role with a strong data component. +BSc or MSc in Applied Mathematics, Data Science, Computer Science, Economics, Statistics, Econometrics, or another related field (equivalent working experience is also acceptable) +Highly business-oriented and comfortable with iterative processes +A good communicator who can present complex topics clearly and persuasively to different audiences +Excellent written and spoken English +Are able to balance between analyses depth (time needed) and business impact +Ability to deal with uncertainty and to combine data insights with strategic thinking +Statistical proficiency (e.g. A/B testing, regression analysis) +Advanced knowledge of at least one statistical programming language (Python, R, etc.) +Fluency with SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.) + + +Work perks + + +The opportunity to benefit from our share options programme +30 days of paid annual leave +Newest MacBook models +Mental and emotional health support through the Mindletic app +Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture +A daily lunch allowance +Frequent team-building events +A personal monthly budget for shopping on Vinted +A subsidised gym membership with ClassPass or Urban Sports Card +A subsidised pension plan provided by Vinted +Hallesche Supplemental health insurance +Life and disability insurance provided +A subsidised Deutschlandticket +The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation +A dog-friendly office + + +Working at Vinted + +Individual Learning Budget + +Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. You’ll be able to take the initiative to use it for covering relevant learning activities that benefit your role. + +Hybrid Work + +We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person. + +Equal Opportunity + +The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic. + +The salary range for this position is €69,000 - €93,400 gross per year. +Show more ","
+ + + + + +
+
+ Brief info about Vinted

Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 22 markets in Europe and North America. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life.

Vinted Go launched in 2022, with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 40 carriers and more than 200,000 PUDO points across Europe to support the delivery of millions of parcels per year.

The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. It is backed by six leading venture capital firms: Accel, Burda Principal Investments, EQT Growth, Insight Partners, Lightspeed Venture Partners, and Sprints Capital.

Information about the position

As our new Decision Scientist, you’ll become part of a cross-functional team in the Help Experience domain with a mission to enable an effortless, scalable and cost effective support experience for our Vinted members. Your team’s focus will be on supporting our Member Support function and enabling quality and efficiency improvements through automation, self-service, and operational excellence.

We’re looking for someone who is a strategic thinker, a problem solver, with a strong data background, who aims high. You like to work in a fast-changing environment, and you are passionate about the product we’re building together.

Next to the product team you will be part of the cross-domain Data Science & Analytics (DSA) guild where you will interact and learn from all data people in Vinted. Within Data Science & Analytics (DSA) we have three distinct roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:

  • Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision making.
  • Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
  • Data Scientists are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.

You will report to the Director of data science & analytics in Help Experience and work closely with other leaders in the domain, particularly in the data science & analytics and product functions.

In this position, you’ll

  • Collaborate with your team and direct stakeholders to identify strategic opportunities and answer key business questions
  • Ensure these questions are answered in an optimal fashion (e.g. in the form of an ad hoc deep-dive, experiment, dashboard, or automatically recurring analysis)
  • Analyze identified opportunities to understand their scope and impact (i.e. size opportunities)
  • Own the key performance indicators for a team, including selection, tracking, forecasting, and proactively flagging issues
  • Enable your team and direct stakeholders to independently leverage data for business insights via self-serving and dashboarding tools (Looker)
  • Define the requirements for (A/B) testing and analyze the results of (A/B) tests
  • Help to create a backlog with prioritized hypotheses and analyses

About You

  • Demonstratable experience as a Decision Scientist, Data Analyst, Product Analyst or a Strategic role with a strong data component.
  • BSc or MSc in Applied Mathematics, Data Science, Computer Science, Economics, Statistics, Econometrics, or another related field (equivalent working experience is also acceptable)
  • Highly business-oriented and comfortable with iterative processes
  • A good communicator who can present complex topics clearly and persuasively to different audiences
  • Excellent written and spoken English
  • Are able to balance between analyses depth (time needed) and business impact
  • Ability to deal with uncertainty and to combine data insights with strategic thinking
  • Statistical proficiency (e.g. A/B testing, regression analysis)
  • Advanced knowledge of at least one statistical programming language (Python, R, etc.)
  • Fluency with SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.)

Work perks

  • The opportunity to benefit from our share options programme
  • 30 days of paid annual leave
  • Newest MacBook models
  • Mental and emotional health support through the Mindletic app
  • Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
  • A daily lunch allowance
  • Frequent team-building events
  • A personal monthly budget for shopping on Vinted
  • A subsidised gym membership with ClassPass or Urban Sports Card
  • A subsidised pension plan provided by Vinted
  • Hallesche Supplemental health insurance
  • Life and disability insurance provided
  • A subsidised Deutschlandticket
  • The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
  • A dog-friendly office

Working at Vinted

Individual Learning Budget

Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. You’ll be able to take the initiative to use it for covering relevant learning activities that benefit your role.

Hybrid Work

We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.

The salary range for this position is €69,000 - €93,400 gross per year. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3984455640,https://de.linkedin.com/jobs/view/data-analyst-at-lynx-beleggen-3984455640?position=5&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=pJSjZOqJOk7qc%2BdYHhCPTw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,LYNX Beleggen,"Berlin, Berlin, Germany","Are you a skilled Python and SQL user with a strong analytical background? Are you passionate about uncovering insights within data and applying them to real-world financial challenges? Then you might just be the Data Analyst we're looking for! + +Your Primary Responsibilities Will Be + + +Manage the end-to-end process of data-driven knowledge gathering (connect, mine, simulate, predict, illustrate, and deploy) +Create data-based solutions to address complex business challenges + + +What We're Looking For + + +Solid analytical skills (you're a natural problem solver) +Proficiency in Python and SQL (you can write advanced queries with ease) +Focus on quality (you strive for excellence in everything you do) +Strong communication skills (you can explain complex ideas in simple terms) + + +It Would Be Great If You Also Have + + +Knowledge of financial markets (options, futures, etc.) +Familiarity with financial products + + +If it seems like a match, don't wait! Apply now and show us what you've got 🔥 + +What we offer; + +At LYNX, we value your growth and development; we'll provide you with a supportive work environment and opportunities for your professional development. + + +Competitive Salary, depending on your educational level and work experience; +Pension scheme that is fully paid by LYNX; +Free lunch from our cook or lunch ticket, fresh juices & fruit; +Travel allowance; +Continuous growth potential and a training budget of € 2,000 per year; +Trips & activities with your colleagues; +Relaxed and informal working environment. + + +About Us + +""LYNX helps you invest in yourself"" + +""Working at LYNX means joining the LYNX family"" + +""The development opportunities make LYNX the best place to work"" + +This is what the employees say about LYNX and it is exactly what we want to offer: a work environment where you can get the best out of yourself. At our office in the heart of Amsterdam, Ghent, Berlin and Prague, we work every day to offer both private and professional clients the best trading opportunities, with a fast, user-friendly and reliable trading platform. + +The Best Choice For Anyone Who Takes Investing Seriously + +LYNX is an international FinTech that offers you a relaxed and informal work environment, where you can get the best out of yourself and where 300 people contribute together to the success of our customers since 2006. + +In 2006 LYNX entered the investor market with two spearheads: very low rates and an extensive product range. This makes the online broker not only successful in the Netherlands, but also abroad. After opening offices in Belgium, Germany and the Czech Republic, LYNX now offers its services in ten different countries, making it a European broker of size. + +In 2019 the product of LYNX, and therefore the offer for investors, has been greatly improved. For example, a highly advanced mobile and tablet app is available, the LYNX Masterclass webinars can be watched weekly via the Knowledge Portal, and thanks to the Morning Call, investors are quickly daily informed about the latest news on the financial markets. +Show more ","
+ + + + + +
+
+ Are you a skilled Python and SQL user with a strong analytical background? Are you passionate about uncovering insights within data and applying them to real-world financial challenges? Then you might just be the Data Analyst we're looking for!

Your Primary Responsibilities Will Be

  • Manage the end-to-end process of data-driven knowledge gathering (connect, mine, simulate, predict, illustrate, and deploy)
  • Create data-based solutions to address complex business challenges

What We're Looking For

  • Solid analytical skills (you're a natural problem solver)
  • Proficiency in Python and SQL (you can write advanced queries with ease)
  • Focus on quality (you strive for excellence in everything you do)
  • Strong communication skills (you can explain complex ideas in simple terms)

It Would Be Great If You Also Have

  • Knowledge of financial markets (options, futures, etc.)
  • Familiarity with financial products

If it seems like a match, don't wait! Apply now and show us what you've got 🔥

What we offer;

At LYNX, we value your growth and development; we'll provide you with a supportive work environment and opportunities for your professional development.

  • Competitive Salary, depending on your educational level and work experience;
  • Pension scheme that is fully paid by LYNX;
  • Free lunch from our cook or lunch ticket, fresh juices & fruit;
  • Travel allowance;
  • Continuous growth potential and a training budget of € 2,000 per year;
  • Trips & activities with your colleagues;
  • Relaxed and informal working environment.

About Us

""LYNX helps you invest in yourself""

""Working at LYNX means joining the LYNX family""

""The development opportunities make LYNX the best place to work""

This is what the employees say about LYNX and it is exactly what we want to offer: a work environment where you can get the best out of yourself. At our office in the heart of Amsterdam, Ghent, Berlin and Prague, we work every day to offer both private and professional clients the best trading opportunities, with a fast, user-friendly and reliable trading platform.

The Best Choice For Anyone Who Takes Investing Seriously

LYNX is an international FinTech that offers you a relaxed and informal work environment, where you can get the best out of yourself and where 300 people contribute together to the success of our customers since 2006.

In 2006 LYNX entered the investor market with two spearheads: very low rates and an extensive product range. This makes the online broker not only successful in the Netherlands, but also abroad. After opening offices in Belgium, Germany and the Czech Republic, LYNX now offers its services in ten different countries, making it a European broker of size.

In 2019 the product of LYNX, and therefore the offer for investors, has been greatly improved. For example, a highly advanced mobile and tablet app is available, the LYNX Masterclass webinars can be watched weekly via the Knowledge Portal, and thanks to the Morning Call, investors are quickly daily informed about the latest news on the financial markets. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3918818099,https://de.linkedin.com/jobs/view/sales-data-analyst-x-f-m-at-doctolib-3918818099?position=6&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=7fWvgM0T14mLKsEvOXYVdw%3D%3D&trk=public_jobs_jserp-result_search-card,Sales Data Analyst (x/f/m),Doctolib,"Berlin, Berlin, Germany","Werde Teil unserer Mission, werde Teil von Doctolib! + +Doctolib sucht einen erfahrenen Sales Data Analyst (x/f/m), der unsere Sales Teams unterstützt und wertvolle Einblicke aus unseren Verkaufsdaten gewinnt. Als Teil des Sales Excellence Teams optimierst du Effizienz und Leistung unserer Vertriebsteams und trägst damit direkt zum Erfolg des Deutschland-Geschäfts bei. + +Deine Aufgaben + + +Du identifizierst Verbesserungspotentiale auf Basis unserer Datengrundlage und leitest daraus Maßnahmen ab, um die Performance unserer Sales Team zu verbessern +Du baust Analysen für das Management und unterstützt Entscheidungsprozesse mit Hilfe von fundierten Datengrundlagen +Du vereinfachst den Zugang zu relevanten Sales-Daten mit Hilfe von Dashboards und Self-Service Tools +Du trainierst die User (Sales Manager:innen), damit sie die aufbereiteten Daten zur Effizienzsteigerung verschiedener Sales-Prozesse nutzen können +Du bist die zentrale Kontaktperson für unser globales Data Team, um die Data Roadmap und die Anfragen für Dashboards und Ad-hoc Data Requests zu besprechen +Du lernst mit unseren BI / Reporting Tools Periscope Data und Tableau umzugehen - hierzu bieten wir dir eine ausführliche Einarbeitung + + + +Dein Profil + +Vorab der kurze Hinweis: Falls Du dem unten beschriebenen Profil nicht exakt entsprichst, aber trotzdem der Meinung bist, dass die Stellenausschreibung zu Deinen Fähigkeiten passt: Bewirb Dich gerne trotzdem! + +Um Teil unseres Teams zu werden, bringst du Folgendes mit: + + +Du bringst min. 3 Jahre Erfahrung im Bereich Sales Performance / Strategy / Data Analytics oder einem ähnlichen Bereich mit +Du hast eine strukturierte, analytische Arbeitsweise und arbeitest dich gerne tiefgehend in neue Themenbereichen ein +Dir macht es Spaß, komplexe Daten in aussagekräftige Erkenntnisse umzuwandeln sowie neue Lösungen zu entwickeln und das Team für die Umsetzung zu begeistern +Du liebst es mit Excel/G-Sheet zu arbeiten; erste Kenntnisse in SQL, Tableau oder Metabase sind ein Plus +Zudem verfügst du über ausgeprägte Kommunikationsfähigkeiten, die du in verhandlungssicherem Deutsch und sehr gutem Englisch zum Ausdruck bringen kannst + + + +Was wir Dir bieten + + +ein Aktienoptionsprogramm für alle Doctoliber +eine betriebliche Krankenversicherung mit tollen Zusatzleistungen +Vierteljährlicher und ein kompetitives Gehaltspaket +28 Urlaubstage + 1 Tag zusätzlich für jedes volle Beschäftigungs-Kalenderjahr (max. 30 Tage) +Das Doctolib Parent Care Programm, das extra Elternzeit (1 Monat) uvm. enthält +Solidarity Days: 2 Tage pro Jahr, um Wohltätigkeitsorganisationen im Gesundheitswesen zu unterstützen +Mentales Wohlbefinden durch Zugang zu Coaches und Psychologen in Zusammenarbeit mit externen Partnern +Ein flexibles Arbeitszeitmodell, das hybrides- und Büro-basiertes Arbeiten ermöglicht +Flexibility Days: 10 Tage im Jahr aus dem EU-Ausland oder UK arbeiten +Erstattung der ÖPNV-Kosten +Verpflegung Budget und gesunde Snacks im Büro +Ein gefördertes Sportangebot mit unserem Partner Urban Sports Club + + + +Der Interview-Prozess + + +Erstes Interview mit deinem Talent Partner (30 Min) +Interview mit dem Team Manager (1h) +Finales Interview + Case Study (1h) +Mindestens eine Referenzprüfung + + + +Job Details + + +Festanstellung / Unbefristeter Vertrag +Vollzeit +Arbeitsort: Berlin +Startdatum: ab sofort +Hybrides Arbeitsmodell + + + +Doctolib ist ein Arbeitgeber, der Chancengleichheit fördert und Vielfalt schätzt. Wir freuen uns über alle Bewerbungen und bearbeiten diese völlig unabhängig von Geschlecht, Religionszugehörigkeit, Hautfarbe, Herkunft, sexueller Orientierung, Alter, Familienstand oder Behindertenstatus. + +Alle mit diesem Formular übermittelten Informationen werden von Doctolib zum Zweck der Verwaltung der Bewerbungen verarbeitet. Für weitere Informationen über die Verarbeitung Ihrer Bewerbungsdaten durch Doctolib, klicke bitte hier. + +Wenn Du Deine Rechte ausüben möchtest oder Fragen zur Verarbeitung Deiner Daten hast, kannst Du Dich schriftlich an uns wenden unter hr.dataprivacy@doctolib.com. +Show more ","
+ + + + + +
+
+ Werde Teil unserer Mission, werde Teil von Doctolib!

Doctolib sucht einen erfahrenen Sales Data Analyst (x/f/m), der unsere Sales Teams unterstützt und wertvolle Einblicke aus unseren Verkaufsdaten gewinnt. Als Teil des Sales Excellence Teams optimierst du Effizienz und Leistung unserer Vertriebsteams und trägst damit direkt zum Erfolg des Deutschland-Geschäfts bei.

Deine Aufgaben

  • Du identifizierst Verbesserungspotentiale auf Basis unserer Datengrundlage und leitest daraus Maßnahmen ab, um die Performance unserer Sales Team zu verbessern
  • Du baust Analysen für das Management und unterstützt Entscheidungsprozesse mit Hilfe von fundierten Datengrundlagen
  • Du vereinfachst den Zugang zu relevanten Sales-Daten mit Hilfe von Dashboards und Self-Service Tools
  • Du trainierst die User (Sales Manager:innen), damit sie die aufbereiteten Daten zur Effizienzsteigerung verschiedener Sales-Prozesse nutzen können
  • Du bist die zentrale Kontaktperson für unser globales Data Team, um die Data Roadmap und die Anfragen für Dashboards und Ad-hoc Data Requests zu besprechen
  • Du lernst mit unseren BI / Reporting Tools Periscope Data und Tableau umzugehen - hierzu bieten wir dir eine ausführliche Einarbeitung


Dein Profil

Vorab der kurze Hinweis: Falls Du dem unten beschriebenen Profil nicht exakt entsprichst, aber trotzdem der Meinung bist, dass die Stellenausschreibung zu Deinen Fähigkeiten passt: Bewirb Dich gerne trotzdem!

Um Teil unseres Teams zu werden, bringst du Folgendes mit:

  • Du bringst min. 3 Jahre Erfahrung im Bereich Sales Performance / Strategy / Data Analytics oder einem ähnlichen Bereich mit
  • Du hast eine strukturierte, analytische Arbeitsweise und arbeitest dich gerne tiefgehend in neue Themenbereichen ein
  • Dir macht es Spaß, komplexe Daten in aussagekräftige Erkenntnisse umzuwandeln sowie neue Lösungen zu entwickeln und das Team für die Umsetzung zu begeistern
  • Du liebst es mit Excel/G-Sheet zu arbeiten; erste Kenntnisse in SQL, Tableau oder Metabase sind ein Plus
  • Zudem verfügst du über ausgeprägte Kommunikationsfähigkeiten, die du in verhandlungssicherem Deutsch und sehr gutem Englisch zum Ausdruck bringen kannst


Was wir Dir bieten

  • ein Aktienoptionsprogramm für alle Doctoliber
  • eine betriebliche Krankenversicherung mit tollen Zusatzleistungen
  • Vierteljährlicher und ein kompetitives Gehaltspaket
  • 28 Urlaubstage + 1 Tag zusätzlich für jedes volle Beschäftigungs-Kalenderjahr (max. 30 Tage)
  • Das Doctolib Parent Care Programm, das extra Elternzeit (1 Monat) uvm. enthält
  • Solidarity Days: 2 Tage pro Jahr, um Wohltätigkeitsorganisationen im Gesundheitswesen zu unterstützen
  • Mentales Wohlbefinden durch Zugang zu Coaches und Psychologen in Zusammenarbeit mit externen Partnern
  • Ein flexibles Arbeitszeitmodell, das hybrides- und Büro-basiertes Arbeiten ermöglicht
  • Flexibility Days: 10 Tage im Jahr aus dem EU-Ausland oder UK arbeiten
  • Erstattung der ÖPNV-Kosten
  • Verpflegung Budget und gesunde Snacks im Büro
  • Ein gefördertes Sportangebot mit unserem Partner Urban Sports Club


Der Interview-Prozess

  • Erstes Interview mit deinem Talent Partner (30 Min)
  • Interview mit dem Team Manager (1h)
  • Finales Interview + Case Study (1h)
  • Mindestens eine Referenzprüfung


Job Details

  • Festanstellung / Unbefristeter Vertrag
  • Vollzeit
  • Arbeitsort: Berlin
  • Startdatum: ab sofort
  • Hybrides Arbeitsmodell


Doctolib ist ein Arbeitgeber, der Chancengleichheit fördert und Vielfalt schätzt. Wir freuen uns über alle Bewerbungen und bearbeiten diese völlig unabhängig von Geschlecht, Religionszugehörigkeit, Hautfarbe, Herkunft, sexueller Orientierung, Alter, Familienstand oder Behindertenstatus.

Alle mit diesem Formular übermittelten Informationen werden von Doctolib zum Zweck der Verwaltung der Bewerbungen verarbeitet. Für weitere Informationen über die Verarbeitung Ihrer Bewerbungsdaten durch Doctolib, klicke bitte hier.

Wenn Du Deine Rechte ausüben möchtest oder Fragen zur Verarbeitung Deiner Daten hast, kannst Du Dich schriftlich an uns wenden unter hr.dataprivacy@doctolib.com. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3984522724,https://de.linkedin.com/jobs/view/data-analyst-m-f-x-at-carhartt-wip-work-in-progress-3984522724?position=7&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=sf0aG1gtJrz0taTdj%2BqLxw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (m/f/x),Carhartt WIP (Work In Progress),"Berlin, Germany","Carhartt WIP is part of the WIP Trading AG. Our family-owned business group started as a licensee and European distributor of the US workwear manufacturer Carhartt in the early 1990s. Since then, it develops its own collections based on workwear originals. + + + + +Carhartt Work In Progress aims to continuously progress and evolve, without ever losing sight of its origins. Over the course of the past two decades, our business has developed organically, along with its customers, the culture that surrounds the brand, and its employees who have helped shape what Carhartt WIP is today. + + + + +Your Responsibilities: + +Management of and participation in Ecom&ERP projects in the BI environment +Implementation of change requests from the Ecom/CRM Team in the BI environment +Close cooperation with external service providers and partners +Ensuring operation & support for the BI systems of the Carhartt WIP Ecom&APP +Technical contact for the BI architecture in the ERP/Ecom environment + + + + +Your Profile: + +Very good technical understanding of ERP, Commercetools and DWH architecture +At least 5 years of professional experience in a comparable function +Experience in working with Power BI is a plus +Entrepreneurial mindset and high customer orientation +Hands on and agile Mindset +Very good process understanding in the ecom&retail landscape +Very good technological understanding in the reporting area +Good analytical and logical thinking skills +Very good communication skills + + + + +Your Benefits: + +Be part of the progress - find your place in our unique WIP culture +As part of the WIP crew you have the opportunity to connect at our events or just have fun +Your closet benefits from our staff discounts +Your future, our upgrade - we subsidise your company pension scheme by 100% +Your well-being is important to us - we contribute to this with free beverages + + + + +Your Location: + +Berlin (Kreuzberg) / Germany + +Show more ","
+ + + + + +
+
+

Carhartt WIP is part of the WIP Trading AG. Our family-owned business group started as a licensee and European distributor of the US workwear manufacturer Carhartt in the early 1990s. Since then, it develops its own collections based on workwear originals.


Carhartt Work In Progress aims to continuously progress and evolve, without ever losing sight of its origins. Over the course of the past two decades, our business has developed organically, along with its customers, the culture that surrounds the brand, and its employees who have helped shape what Carhartt WIP is today.


Your Responsibilities:

  • Management of and participation in Ecom&ERP projects in the BI environment
  • Implementation of change requests from the Ecom/CRM Team in the BI environment
  • Close cooperation with external service providers and partners
  • Ensuring operation & support for the BI systems of the Carhartt WIP Ecom&APP
  • Technical contact for the BI architecture in the ERP/Ecom environment


Your Profile:

  • Very good technical understanding of ERP, Commercetools and DWH architecture
  • At least 5 years of professional experience in a comparable function
  • Experience in working with Power BI is a plus
  • Entrepreneurial mindset and high customer orientation
  • Hands on and agile Mindset
  • Very good process understanding in the ecom&retail landscape
  • Very good technological understanding in the reporting area
  • Good analytical and logical thinking skills
  • Very good communication skills


Your Benefits:

  • Be part of the progress - find your place in our unique WIP culture
  • As part of the WIP crew you have the opportunity to connect at our events or just have fun
  • Your closet benefits from our staff discounts
  • Your future, our upgrade - we subsidise your company pension scheme by 100%
  • Your well-being is important to us - we contribute to this with free beverages


Your Location:

Berlin (Kreuzberg) / Germany

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3990245127,https://de.linkedin.com/jobs/view/marketing-data-analyst-at-amiseq-3990245127?position=8&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=I8HD4dx65vcBUVKwl%2B3mIg%3D%3D&trk=public_jobs_jserp-result_search-card,Marketing Data Analyst,AMISEQ,"Berlin, Germany","Job Summary: + +You will collaborate closely with the Business Intelligence Lead to analyze data trends, develop insightful reports, and contribute to the strategic execution of our advertising campaigns. Your expertise will help optimize our ad performance and ensure a successful peak season. + +Key Responsibilities: + +- Collaborate with Marketing Managers to align data analysis with overall Ads product strategy. + +- Assist with the development and implementation of operational tools for peak season planning, becoming the go-to expert. + +- Work with cross-functional teams to support operational excellence and drive automation initiatives. + +- Engage with global stakeholders to provide data-driven insights and recommendations for Ads product enhancements. + +- Take charge of data collection, analysis, and reporting tasks to support decision-making during Q4 peak season. + +- Contribute to the design and execution of A/B testing to optimize campaign performance. + +- Synthesize complex data into actionable reports for the marketing team and senior management. + +- Assist in the management and quality assurance of campaign content and audience targeting. + +Qualifications: + +- Bachelor’s degree in Marketing, Business, Statistics, Economics, or equivalent experience. + +- Minimum of 3 years of experience in a data analysis role ideally within a marketing or ad-tech environment. + +- Proficient in data analysis tools (SQL, Excel, Tableau, etc.) + +- Strong analytical skills with the ability to interpret data and generate meaningful insights. + +- Exceptional organizational and project management abilities, capable of handling multiple tasks with precision. + +- Excellent communication skills, with the aptitude to present data findings clearly to both technical and non-technical audiences. + +- A proactive mindset, with a willingness to take initiative and drive projects forward. + +- Adaptable and resilient, able to thrive in a fast-paced and dynamic work environment. + +Show more ","
+ + + + + +
+
+

Job Summary:

You will collaborate closely with the Business Intelligence Lead to analyze data trends, develop insightful reports, and contribute to the strategic execution of our advertising campaigns. Your expertise will help optimize our ad performance and ensure a successful peak season.

Key Responsibilities:

- Collaborate with Marketing Managers to align data analysis with overall Ads product strategy.

- Assist with the development and implementation of operational tools for peak season planning, becoming the go-to expert.

- Work with cross-functional teams to support operational excellence and drive automation initiatives.

- Engage with global stakeholders to provide data-driven insights and recommendations for Ads product enhancements.

- Take charge of data collection, analysis, and reporting tasks to support decision-making during Q4 peak season.

- Contribute to the design and execution of A/B testing to optimize campaign performance.

- Synthesize complex data into actionable reports for the marketing team and senior management.

- Assist in the management and quality assurance of campaign content and audience targeting.

Qualifications:

- Bachelor’s degree in Marketing, Business, Statistics, Economics, or equivalent experience.

- Minimum of 3 years of experience in a data analysis role ideally within a marketing or ad-tech environment.

- Proficient in data analysis tools (SQL, Excel, Tableau, etc.)

- Strong analytical skills with the ability to interpret data and generate meaningful insights.

- Exceptional organizational and project management abilities, capable of handling multiple tasks with precision.

- Excellent communication skills, with the aptitude to present data findings clearly to both technical and non-technical audiences.

- A proactive mindset, with a willingness to take initiative and drive projects forward.

- Adaptable and resilient, able to thrive in a fast-paced and dynamic work environment.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3980268565,https://de.linkedin.com/jobs/view/customer-data-analyst-customer-segmentation-all-genders-at-zalando-3980268565?position=13&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=KV0XdGimjU%2F8HpudzlIXMw%3D%3D&trk=public_jobs_jserp-result_search-card,Customer Data Analyst (Customer Segmentation) (all genders),Zalando,"Berlin, Berlin, Germany","THE ROLE & THE TEAM + +You work for the Customer Analytics team in Zalando’s Markets organization, which enables data driven business strategies for 20+ countries. Through our customer focussed analytics and segmentations we put our customers at the center of every marketing and retail decision. As a (Senior) Customer Data Analyst in our Customer Segmentation Team you are the closest link to our customer You build a deep understanding of our customer base by developing and analyzing different customer segments based on their purchasing behavior, interests, customer value and onsite activities. You will transform data and segmentations into actionable insights and recommendations that drive strategic decisions and customer retention. + +WHAT WE’D LOVE YOU TO DO (AND LOVE DOING) + + + +Develop and analyze customer segmentations and audiences, support targeting and steering initiatives to drive customer value and retention. Collaborate with data scientists and engineers to optimize and productionalize your segmentations and audience selections. +Design, conduct and evaluate A/B tests to optimize your segmentations and audiences according to their use case. Recommend testing strategies to optimize targeted campaigns, campaign efficiency and ultimately customer value and retention. Translate complex questions into sound analytical tasks, autonomously planning large scale projects. +Collaborate with business stakeholders to identify new strategic opportunities and recommend actions supporting the customer strategy. Present your findings and work closely with business stakeholders and product owners to operationalize your recommendations. +Drive data mindset in the team and provide senior guidance to your team members in terms of methodology & technology to raise the bar within the department. Collaborate with other analysts, data scientists, engineers and commercial colleagues to untap new sources of data and know-how. +Independently manage analytical projects, identifying efficiency opportunities and supporting decision-making with insights from descriptive and inferential analysis. +Conduct knowledge-sharing sessions, support junior colleagues, and contribute to internal events and the hiring process. + + + +WE’D LOVE TO MEET YOU IF + + + +You have 3+ years experience in using customer data in smart and creative ways to answer business questions and/or drive targeting efforts incl. model driven statistical analysis, e.g. Causal Inference. Very good quantitative degree, e.g. in Economics, Statistics, Mathematics, Computer Science. +Advanced skills in data methodologies and technologies (Python and SQL, PySpark). Visualization tools, e.g. MicroStrategy, Tableau, PowerBI and versioning tools, e.g. Git/GitHub, are considered a plus. Curious about learning new technologies, e.g. Databricks, AWS data lake, Airflow. +Strong communicator to challenge the status-quo, tell data stories, maximize decision impact of your results and liaison with commercial and tech people alike. +Proactive, fast learner, problem solver, teamplayer, comfortable working in English in a fast paced international work environment + + + +INCLUSIVE BY DESIGN + +At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. + +We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. + +do.BETTER - our diversity & inclusion strategy + +https //corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy + +Our employee resource groups + +https //corporate.zalando.com/en/our-impact/our-employee-resource-groups +Show more ","
+ + + + + +
+
+ THE ROLE & THE TEAM

You work for the Customer Analytics team in Zalando’s Markets organization, which enables data driven business strategies for 20+ countries. Through our customer focussed analytics and segmentations we put our customers at the center of every marketing and retail decision. As a (Senior) Customer Data Analyst in our Customer Segmentation Team you are the closest link to our customer You build a deep understanding of our customer base by developing and analyzing different customer segments based on their purchasing behavior, interests, customer value and onsite activities. You will transform data and segmentations into actionable insights and recommendations that drive strategic decisions and customer retention.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)


  • Develop and analyze customer segmentations and audiences, support targeting and steering initiatives to drive customer value and retention. Collaborate with data scientists and engineers to optimize and productionalize your segmentations and audience selections.
  • Design, conduct and evaluate A/B tests to optimize your segmentations and audiences according to their use case. Recommend testing strategies to optimize targeted campaigns, campaign efficiency and ultimately customer value and retention. Translate complex questions into sound analytical tasks, autonomously planning large scale projects.
  • Collaborate with business stakeholders to identify new strategic opportunities and recommend actions supporting the customer strategy. Present your findings and work closely with business stakeholders and product owners to operationalize your recommendations.
  • Drive data mindset in the team and provide senior guidance to your team members in terms of methodology & technology to raise the bar within the department. Collaborate with other analysts, data scientists, engineers and commercial colleagues to untap new sources of data and know-how.
  • Independently manage analytical projects, identifying efficiency opportunities and supporting decision-making with insights from descriptive and inferential analysis.
  • Conduct knowledge-sharing sessions, support junior colleagues, and contribute to internal events and the hiring process.


WE’D LOVE TO MEET YOU IF


  • You have 3+ years experience in using customer data in smart and creative ways to answer business questions and/or drive targeting efforts incl. model driven statistical analysis, e.g. Causal Inference. Very good quantitative degree, e.g. in Economics, Statistics, Mathematics, Computer Science.
  • Advanced skills in data methodologies and technologies (Python and SQL, PySpark). Visualization tools, e.g. MicroStrategy, Tableau, PowerBI and versioning tools, e.g. Git/GitHub, are considered a plus. Curious about learning new technologies, e.g. Databricks, AWS data lake, Airflow.
  • Strong communicator to challenge the status-quo, tell data stories, maximize decision impact of your results and liaison with commercial and tech people alike.
  • Proactive, fast learner, problem solver, teamplayer, comfortable working in English in a fast paced international work environment


INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.

We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy

https //corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy

Our employee resource groups

https //corporate.zalando.com/en/our-impact/our-employee-resource-groups +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3966868494,https://de.linkedin.com/jobs/view/data-analyst-m-w-d-bestandskunden-at-comdesk-3966868494?position=14&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=dNUEQ47ps9xSKl3hPufRHg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (m/w/d) Bestandskunden,comdesk,"Potsdam, Brandenburg, Germany","Deine Aufgaben + + +Unterstützung bei Entwicklung und Implementierung einer effizienten Power BI Reportingstruktur +Aufbereitung und Visualisierung von relevanten Kennzahlen und Geschäftsentwicklungen +Präsentation der Dashboards in deutscher Sprache für große Bestandskunden +Weiterentwicklung der BI-Architektur und der Automatisierung des Reportings in Zusammenarbeit mit der Fachabteilung + + +Dein Profil + + +mindestens 3 Jahre Erfahrung im Kundenservice, Vertrieb oder einer anderen beratenden Tätigkeit +sehr gute Vorkenntnisse mit Programmen zur Datenauswertung (z.B. Tableau, PowerBI, etc.) +fließende Deutschkenntnisse in Schrift und Sprache +Sicherer Umgang mit Excel und SQL +sehr gute Kommunikations- und Präsentationsfähigkeiten für Kunden in deutscher Sprache +Kenntnisse im Auf-/Ausbau von BI-Systemen +Strukturierte, sowie analytische Arbeitsweise +Idealerweise verfügst Du über Erfahrungen im Projektmanagement im SaaS-Umfeld + + +Warum wir? + + +Die ""Basics"": 30 Tage Urlaub, bis zu 100% remote work möglich, ein fester Feierabend, Mac oder PC- du hast die Wahl, ein Budget für deine Weiterentwicklung, Team-Events, E-Bike, Altersvorsorge und Gutscheine für Amazon & Co. sind einige der Angebote, die unsere CallOne´ler zu schätzen wissen. +We ♥️ AI: Nicht nur bei unseren SaaS-Lösungen, auch im Arbeitsalltag setzen wir auf die unzähligen Möglichkeiten, die KI uns bietet, um Prozesse zu optimieren und uns unsere Arbeit zu erleichtern. Freu dich auf ein tech- und experimentier-freudiges Team, mit dem du tief in die Welt der Künstlichen Intelligenz eintauchen kannst! =) +Arbeit mit Sinn: Mit deiner Arbeit hast du einen positiven Einfluss auf Millionen von Menschen. Unsere Lösungen sind immer einen Herzschlag voraus und setzen neue Standards im Kundenservice. So leistest du mit deiner Arbeit einen echten Mehrwert und trägst dazu bei, dass Service Hotlines ihrem Namen endlich wieder alle Ehre machen. +Teamwork: Was wir an CallOne besonders lieben? Unsere Kollegen (w/m/d)! Wir halten einander den Rücken frei, nehmen uns selbst nicht zu ernst und können uns immer aufeinander verlassen. Egal ob remote oder an einem unserer drei Standorte, bei uns ist Team Work keine hohle Phrase! +Job Crafting 4.0: Du gestaltest deinen Job, mit deiner Erfahrung, deinen Stärken, Ideen und Vorlieben. Wir fördern dich mit allem, was du dafür brauchst, und entwerfen gemeinsamen den Job, der zu dir und deinem Leben passt. +Gemeinsam wachsen: Dein Wissen ist unser aller Gewinn. Deshalb spielen wir dir regelmäßig Updates auf, in Form von Konferenzen, Workshops, Kursen, Trainings, neuster Technik – was immer du brauchst, um dich beruflich und persönlich weiterzuentwickeln. +Kein Lari-Fari: Was du tust, vergammelt nicht in einer Schublade, sondern kommt zum Einsatz. Auf unnötige Bürokratie und stundenlange Meetings haben wir keine Lust. Wir arbeiten fokussiert, hands-on und mit einem Blick fürs Wesentliche. + + +Über uns + +Gestalte mit uns die Zukunft der Kommunikation! + +Bist du bereit für den nächsten Schritt? Wir suchen kreative Köpfe, die mit uns und mit Hilfe von KI-gestützten Technologien die Art und Weise, wie Unternehmen interagieren, neu definieren wollen. Lass dich von unserer Vision inspirieren und entdecke spannenden Karrieremöglichkeiten bei uns – bewirb dich noch heute auf unsere offenen Stellen! + +Du möchtest mehr über uns erfahren? ➡️ comdesk.de/ueber-uns +Show more ","
+ + + + + +
+
+ Deine Aufgaben

  • Unterstützung bei Entwicklung und Implementierung einer effizienten Power BI Reportingstruktur
  • Aufbereitung und Visualisierung von relevanten Kennzahlen und Geschäftsentwicklungen
  • Präsentation der Dashboards in deutscher Sprache für große Bestandskunden
  • Weiterentwicklung der BI-Architektur und der Automatisierung des Reportings in Zusammenarbeit mit der Fachabteilung

Dein Profil

  • mindestens 3 Jahre Erfahrung im Kundenservice, Vertrieb oder einer anderen beratenden Tätigkeit
  • sehr gute Vorkenntnisse mit Programmen zur Datenauswertung (z.B. Tableau, PowerBI, etc.)
  • fließende Deutschkenntnisse in Schrift und Sprache
  • Sicherer Umgang mit Excel und SQL
  • sehr gute Kommunikations- und Präsentationsfähigkeiten für Kunden in deutscher Sprache
  • Kenntnisse im Auf-/Ausbau von BI-Systemen
  • Strukturierte, sowie analytische Arbeitsweise
  • Idealerweise verfügst Du über Erfahrungen im Projektmanagement im SaaS-Umfeld

Warum wir?

  • Die ""Basics"": 30 Tage Urlaub, bis zu 100% remote work möglich, ein fester Feierabend, Mac oder PC- du hast die Wahl, ein Budget für deine Weiterentwicklung, Team-Events, E-Bike, Altersvorsorge und Gutscheine für Amazon & Co. sind einige der Angebote, die unsere CallOne´ler zu schätzen wissen.
  • We ♥️ AI: Nicht nur bei unseren SaaS-Lösungen, auch im Arbeitsalltag setzen wir auf die unzähligen Möglichkeiten, die KI uns bietet, um Prozesse zu optimieren und uns unsere Arbeit zu erleichtern. Freu dich auf ein tech- und experimentier-freudiges Team, mit dem du tief in die Welt der Künstlichen Intelligenz eintauchen kannst! =)
  • Arbeit mit Sinn: Mit deiner Arbeit hast du einen positiven Einfluss auf Millionen von Menschen. Unsere Lösungen sind immer einen Herzschlag voraus und setzen neue Standards im Kundenservice. So leistest du mit deiner Arbeit einen echten Mehrwert und trägst dazu bei, dass Service Hotlines ihrem Namen endlich wieder alle Ehre machen.
  • Teamwork: Was wir an CallOne besonders lieben? Unsere Kollegen (w/m/d)! Wir halten einander den Rücken frei, nehmen uns selbst nicht zu ernst und können uns immer aufeinander verlassen. Egal ob remote oder an einem unserer drei Standorte, bei uns ist Team Work keine hohle Phrase!
  • Job Crafting 4.0: Du gestaltest deinen Job, mit deiner Erfahrung, deinen Stärken, Ideen und Vorlieben. Wir fördern dich mit allem, was du dafür brauchst, und entwerfen gemeinsamen den Job, der zu dir und deinem Leben passt.
  • Gemeinsam wachsen: Dein Wissen ist unser aller Gewinn. Deshalb spielen wir dir regelmäßig Updates auf, in Form von Konferenzen, Workshops, Kursen, Trainings, neuster Technik – was immer du brauchst, um dich beruflich und persönlich weiterzuentwickeln.
  • Kein Lari-Fari: Was du tust, vergammelt nicht in einer Schublade, sondern kommt zum Einsatz. Auf unnötige Bürokratie und stundenlange Meetings haben wir keine Lust. Wir arbeiten fokussiert, hands-on und mit einem Blick fürs Wesentliche.

Über uns

Gestalte mit uns die Zukunft der Kommunikation!

Bist du bereit für den nächsten Schritt? Wir suchen kreative Köpfe, die mit uns und mit Hilfe von KI-gestützten Technologien die Art und Weise, wie Unternehmen interagieren, neu definieren wollen. Lass dich von unserer Vision inspirieren und entdecke spannenden Karrieremöglichkeiten bei uns – bewirb dich noch heute auf unsere offenen Stellen!

Du möchtest mehr über uns erfahren? ➡️ comdesk.de/ueber-uns +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-08,[] +3991569639,https://de.linkedin.com/jobs/view/graduate-marketing-data-analyst-at-canonical-3991569639?position=15&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=HKGZgjSDNnfr8kFPHNj3SA%3D%3D&trk=public_jobs_jserp-result_search-card,Graduate Marketing Data Analyst,Canonical,"Berlin, Berlin, Germany"," + +Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed. + +The role of a Graduate Marketing Data Analyst at Canonical + +Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy. + +The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier. + +The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you. + +This role sits in the Marketing team reporting to the Growth Engineering Manager. + +Location: This role will be based remotely in the EMEA region. + +What your day will look like + + +Utilise advanced data analytics to grow Canonical's product adoption and market penetration +Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes +Design and conduct experiments with data, visualisation and insights into Canonical's target audiences +Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem +Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards + + +What we are looking for in you? + + +A recent graduate with background in data science, mathematics, actuarial science, or engineering +Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc) +Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc) +Ability to translate business questions to key research objectives +Ability to identify the best methodology to execute research, synthesise and analyse findings +Excellent writing and communication skills +Willingness to examine the status quo and resilient in the face of challenges + + +What we offer you + +Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. + +In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. + +🏠Fully remote working environment - we've been working remotely since 2004! + +📚Personal learning and development budget of 2,000 USD per annum + +💰Annual compensation review + +🏆Recognition rewards + +🏝 Annual holiday leave + +👶Parental Leave + +🧑‍💼Employee Assistance Programme + +🧳Opportunity to travel to new locations to meet colleagues at 'sprints' + +✈️Priority Pass for travel and travel upgrades for long haul company events + +About Canonical + +Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. + +Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. + +Canonical is an equal opportunity employer + +We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. + + +Show more ","
+ + + + + +
+
+

Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

The role of a Graduate Marketing Data Analyst at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're on the look out for a marketing data analyst to join our team and execute on our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

Location: This role will be based remotely in the EMEA region.

What your day will look like

  • Utilise advanced data analytics to grow Canonical's product adoption and market penetration
  • Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
  • Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
  • Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
  • Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

What we are looking for in you?

  • A recent graduate with background in data science, mathematics, actuarial science, or engineering
  • Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
  • Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
  • Ability to translate business questions to key research objectives
  • Ability to identify the best methodology to execute research, synthesise and analyse findings
  • Excellent writing and communication skills
  • Willingness to examine the status quo and resilient in the face of challenges

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

🏠Fully remote working environment - we've been working remotely since 2004!

📚Personal learning and development budget of 2,000 USD per annum

💰Annual compensation review

🏆Recognition rewards

🏝 Annual holiday leave

👶Parental Leave

🧑‍💼Employee Assistance Programme

🧳Opportunity to travel to new locations to meet colleagues at 'sprints'

✈️Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3978705705,https://de.linkedin.com/jobs/view/data-engineer-w-d-m-at-akkodis-3978705705?position=18&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=GxU0EWSzq8o4GdOIug9BJg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer (w/d/m),Akkodis,"Berlin, Germany","Sind Sie auf der Suche nach neuen und spannenden Herausforderungen? Dann beginnen Sie Ihre Karriere bei uns und werden Sie Teil eines unserer Kundenprojekte. + + + + +IHRE TÄTIGKEITSSCHWERPUNKTE + +Konzeption, Entwicklung und Wartung von Datenpipelines zur Erfassung, Verarbeitung und Speicherung umfangreicher Datenströme +Implementierung von skalierbaren Datenbanken, Data Warehouses und anderen Speicherlösungen +Optimierung der Dateninfrastruktur hinsichtlich Skalierbarkeit, Leistung und Zuverlässigkeit +Enge Zusammenarbeit mit Datenanalysten, Data Scientists und anderen Teammitgliedern, um Datenanforderungen zu verstehen und maßgeschneiderte Lösungen zu entwickeln +Gewährleistung der Einhaltung von Datenschutz- und Sicherheitsstandards in allen Phasen der Datenverarbeitung + + + + + + + +WAS SIE DAFÜR MITBRINGEN + +Abgeschlossenes Studium in Informatik, Datenwissenschaft, Ingenieurwissenschaften oder einem ähnlichen Fachbereich +Erfahrung in der Entwicklung von Datenpipelines und -infrastrukturen +Kenntnisse in Datenbanktechnologien wie SQL, NoSQL sowie in Big-Data-Frameworks wie z.B. Hadoop, Spark o.ä. sind ein Plus +Programmierkenntnisse in Python, Java oder Scala +Teamfähigkeit und die Fähigkeit, effektiv in einem agilen Umfeld zu arbeiten +Analytische Denkweise und ausgeprägte Problemlösungsfähigkeiten +Sehr gute Deutsch- und Englischkenntnisse + +*Mut zur Lücke! Auch wenn Sie nicht alle Anforderungen erfüllen: Trauen Sie sich und bewerben Sie sich bei uns! + + + + + + + +WARUM SIE BEI UNS GENAU RICHTIG SIND + +Es besteht die Möglichkeit zum Teil im Homeoffice zu arbeiten und somit von den Vorteilen hybrider Arbeit zu profitieren (flexibles Arbeiten) +Teamspirit und Diversität +Work-Life-Balance +Attraktive Vergütung +Sozialleistungen +Vielseitige Weiterbildungsmöglichkeiten +Team- und Sportevents +Globales Netzwerk +Attraktives Mitarbeiterempfehlungsprogramm + + + + +Die Benefits können je nach Position und Standort variieren. Eine Übersicht über unsere Benefits befindet sich auf unserer Webseite unterhalb Karriere und Benefits. + + + + +Senden Sie uns direkt Ihre Bewerbung zu. Für Rückfragen stehen wir Ihnen gerne zur Verfügung. Wir freuen uns über die Bewerbung von Menschen, die zur Vielfalt unseres Unternehmens beitragen. + +Show more ","
+ + + + + +
+
+

Sind Sie auf der Suche nach neuen und spannenden Herausforderungen? Dann beginnen Sie Ihre Karriere bei uns und werden Sie Teil eines unserer Kundenprojekte.


IHRE TÄTIGKEITSSCHWERPUNKTE

  • Konzeption, Entwicklung und Wartung von Datenpipelines zur Erfassung, Verarbeitung und Speicherung umfangreicher Datenströme
  • Implementierung von skalierbaren Datenbanken, Data Warehouses und anderen Speicherlösungen
  • Optimierung der Dateninfrastruktur hinsichtlich Skalierbarkeit, Leistung und Zuverlässigkeit
  • Enge Zusammenarbeit mit Datenanalysten, Data Scientists und anderen Teammitgliedern, um Datenanforderungen zu verstehen und maßgeschneiderte Lösungen zu entwickeln
  • Gewährleistung der Einhaltung von Datenschutz- und Sicherheitsstandards in allen Phasen der Datenverarbeitung



WAS SIE DAFÜR MITBRINGEN

  • Abgeschlossenes Studium in Informatik, Datenwissenschaft, Ingenieurwissenschaften oder einem ähnlichen Fachbereich
  • Erfahrung in der Entwicklung von Datenpipelines und -infrastrukturen
  • Kenntnisse in Datenbanktechnologien wie SQL, NoSQL sowie in Big-Data-Frameworks wie z.B. Hadoop, Spark o.ä. sind ein Plus
  • Programmierkenntnisse in Python, Java oder Scala
  • Teamfähigkeit und die Fähigkeit, effektiv in einem agilen Umfeld zu arbeiten
  • Analytische Denkweise und ausgeprägte Problemlösungsfähigkeiten
  • Sehr gute Deutsch- und Englischkenntnisse

*Mut zur Lücke! Auch wenn Sie nicht alle Anforderungen erfüllen: Trauen Sie sich und bewerben Sie sich bei uns!



WARUM SIE BEI UNS GENAU RICHTIG SIND

  • Es besteht die Möglichkeit zum Teil im Homeoffice zu arbeiten und somit von den Vorteilen hybrider Arbeit zu profitieren (flexibles Arbeiten)
  • Teamspirit und Diversität
  • Work-Life-Balance
  • Attraktive Vergütung
  • Sozialleistungen
  • Vielseitige Weiterbildungsmöglichkeiten
  • Team- und Sportevents
  • Globales Netzwerk
  • Attraktives Mitarbeiterempfehlungsprogramm


Die Benefits können je nach Position und Standort variieren. Eine Übersicht über unsere Benefits befindet sich auf unserer Webseite unterhalb Karriere und Benefits.


Senden Sie uns direkt Ihre Bewerbung zu. Für Rückfragen stehen wir Ihnen gerne zur Verfügung. Wir freuen uns über die Bewerbung von Menschen, die zur Vielfalt unseres Unternehmens beitragen.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3982440416,https://de.linkedin.com/jobs/view/senior-data-analyst-at-big-cloud-3982440416?position=19&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=4N0detC49Oz4J26f%2Ba1FCw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,Big Cloud,"Berlin, Germany","Do you have strong background in Data Analysis? + + + + +Do you want to apply your skills and grow within a growing market? + + + + +We've partnered with a leading supplier of modern and professional learning solutions. + + + + +You will analyze large amounts of data to identify trends in their SaaS platform and generate insights. Through these analyses, you will generate insights for their product team and various stakeholders and actively contribute to their data driven product development. + + + + +Please apply if you have the following: + +A bachelor's degree in Information Systems, Computer Science, Business Analytics, or a related field. +You can record, analyze, develop solutions and master various tools for data analysis and visualization such as Mixpanel or Looker Studio. +Strong analytical skills with storytelling and visualization techniques to prepare findings in a way that is appropriate for the target group. +Ideally, you have knowledge of SQL, Python or R. +You have experience with cloud-based data platforms. +You have experience in sales processes and automation and data structures (ideally in Salesforce). +You have experience in an agile environment +6+ years industry experience + + + + +Nice to have: + +Good communication skills in German and English + + + + +This is an urgent position. If the above stands out to you and you feel you are right for the role, please do send in your application/ get in touch with a member of the Big Cloud team as soon as possible. Please be aware, we try to reply to all applications, but we’re only human, for now! Please bare in-mind, you may only hear from us if you are successful. + +Show more ","
+ + + + + +
+
+

Do you have strong background in Data Analysis?


Do you want to apply your skills and grow within a growing market?


We've partnered with a leading supplier of modern and professional learning solutions.


You will analyze large amounts of data to identify trends in their SaaS platform and generate insights. Through these analyses, you will generate insights for their product team and various stakeholders and actively contribute to their data driven product development.


Please apply if you have the following:

  • A bachelor's degree in Information Systems, Computer Science, Business Analytics, or a related field.
  • You can record, analyze, develop solutions and master various tools for data analysis and visualization such as Mixpanel or Looker Studio.
  • Strong analytical skills with storytelling and visualization techniques to prepare findings in a way that is appropriate for the target group.
  • Ideally, you have knowledge of SQL, Python or R.
  • You have experience with cloud-based data platforms.
  • You have experience in sales processes and automation and data structures (ideally in Salesforce).
  • You have experience in an agile environment
  • 6+ years industry experience


Nice to have:

  • Good communication skills in German and English


This is an urgent position. If the above stands out to you and you feel you are right for the role, please do send in your application/ get in touch with a member of the Big Cloud team as soon as possible. Please be aware, we try to reply to all applications, but we’re only human, for now! Please bare in-mind, you may only hear from us if you are successful.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3980141860,https://de.linkedin.com/jobs/view/data-analyst-finance-strategy-at-gelato-3980141860?position=20&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=uO0lWcF0m1mCC54iY6c3IQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst, Finance & Strategy",Gelato,"Berlin, Germany","About Gelato + +Gelato has built the world's largest and most global network for on-demand production of customized items e.g. t-shirts, wall art, mugs, books, hoodies, and cards. We support a new wave of e-commerce entrepreneurs to sell their creativity globally, with a more local and sustainable production. With local production and exact matching of supply and demand, there is no waste, and carbon emissions are reduced. + +We own no assets - we build the software that connects world-class production facilities all across the world. We have more than 130 production partners in 32 countries. In 72 hours we can reach more than 5 billion people with customized products in a smarter, faster, and greener way. + +Gelato is changing the way that customized products can be produced on-demand. We are already empowering thousands of e-commerce entrepreneurs to grow and scale their businesses. With local production, and exact matching of supply and demand, there is no waste and carbon emissions are reduced. + +Gelato consists of three different business units: + +Optimalprint - our B2C e-commerce business, offering beautiful high-quality personalized products to consumers all over the world. The products are produced on-demand by Gelato’s local production network. + +GelatoCreate - giving creators across the world instant access to a global market of customers. Simple integrations to webshops such as Shopify, Etsy and TikTok allow creators to connect and personalize their designs for a wide range of quality products, and Gelato takes care of the production and fulfillment through our local production. + +GelatoConnect - the backbone of Gelato is enterprise software that powers the world's most advanced production on demand facilities, providing unmatched production workflow, logistics and procurement efficiency, quality management and cost savings. + + + + +What we are looking for + +We are seeking analytics professionals with a passion for business impact to join our world class Finance & Strategy team. As a Data Analyst, you will help build strategic reports for investor and leadership teams and carry out analysis that will inform important financial and strategic decisions for Gelato. You will guide the finance team using data and insights by not simply presenting data, but telling data-driven stories. You will convince and influence your finance and strategy team members using clear insights and recommendations. + +The position is based in Gelato’s offices in London (UK), Oslo (Norway), Stockholm (Sweden), and Madrid (Spain) + +What you will be doing + +Own the design, development, and maintenance of metrics, reports and dashboards to drive key business performance visibility for finance and strategy teams. +Identify trends & patterns using internal and external data sources powered with analytic models to provide actionable insights to business decision-makers. +Generate forecasts, recommendations, and strategic/tactical plans necessary to drive and influence business decision-making. +Share your knowledge and build creative solutions while helping the team evolve best practices. + +Who you are + +4 years+ of data analytics experience. +Strong attention to detail, ensuring accuracy and integrity in all your analyses +Good time management. You can handle multiple tasks, meeting deadlines without compromising quality. +Collaborative. You work well in a team environment, collaborating effectively with cross-functional teams. +Strong project and stakeholder management skills. You keep all stakeholders informed and manage expectations effectively. +Extensive hands-on experience in SQL. +Experience with data visualization and BI tools like Looker/Tableau/PowerBI. +Good knowledge of statistical analysis. +Excellent communication and presentation skills. + +Preferred Qualifications + +Experience with finance data or in finance related roles. +Advanced experience with Looker. +Experience in management consulting would be a plus. + +What we offer + +We offer you a chance to be part of a truly amazing journey in a company that sets very high targets and works hard to achieve them. You will be able to work with smart, motivated, and engaged co-workers from all over the world, in an intense and very energetic environment. This leads to you having a tangible impact on the way that we operate and expand our business. + +Some of the highlights of the package include: + +Strong technical culture of continuous innovation and improvement +Chance to become a shareholder of Gelato! +Flexible festive holidays, swap days off according to your values and beliefs. +Work at one of our hub city offices or even remotely +And much much more! + +What it’s like to work at Gelato + +We are a customer-obsessed team with the ambition to change the world by connecting technology to the printing industry and making it much more sustainable. Everyone who joins our team must feel genuinely intrigued and motivated by our mission. We expect a lot. We are a driven team with big goals, so we seek individuals who are genuinely passionate about their work and possess an entrepreneurial spirit. Our culture is unique and we live by our values, so it's worth learning more about our culture and how we work before presenting your application. + +At Gelato, we pride ourselves on our global presence with 14 offices worldwide, fostering a dynamic and diverse work environment. Rooted in a culture that values collaboration, creativity, and camaraderie, we actively cultivate a company culture that thrives on shared experiences. We encourage team members to embrace this culture by working from our inspiring office spaces at least three days a week, allowing for meaningful connections and collective growth. + +Lastly, we ask that you please upload your CV in English, regardless of which country you are applying from. + +Show more ","
+ + + + + +
+
+

About Gelato

Gelato has built the world's largest and most global network for on-demand production of customized items e.g. t-shirts, wall art, mugs, books, hoodies, and cards. We support a new wave of e-commerce entrepreneurs to sell their creativity globally, with a more local and sustainable production. With local production and exact matching of supply and demand, there is no waste, and carbon emissions are reduced.

We own no assets - we build the software that connects world-class production facilities all across the world. We have more than 130 production partners in 32 countries. In 72 hours we can reach more than 5 billion people with customized products in a smarter, faster, and greener way.

Gelato is changing the way that customized products can be produced on-demand. We are already empowering thousands of e-commerce entrepreneurs to grow and scale their businesses. With local production, and exact matching of supply and demand, there is no waste and carbon emissions are reduced.

Gelato consists of three different business units:

Optimalprint - our B2C e-commerce business, offering beautiful high-quality personalized products to consumers all over the world. The products are produced on-demand by Gelato’s local production network.

GelatoCreate - giving creators across the world instant access to a global market of customers. Simple integrations to webshops such as Shopify, Etsy and TikTok allow creators to connect and personalize their designs for a wide range of quality products, and Gelato takes care of the production and fulfillment through our local production.

GelatoConnect - the backbone of Gelato is enterprise software that powers the world's most advanced production on demand facilities, providing unmatched production workflow, logistics and procurement efficiency, quality management and cost savings.


What we are looking for

We are seeking analytics professionals with a passion for business impact to join our world class Finance & Strategy team. As a Data Analyst, you will help build strategic reports for investor and leadership teams and carry out analysis that will inform important financial and strategic decisions for Gelato. You will guide the finance team using data and insights by not simply presenting data, but telling data-driven stories. You will convince and influence your finance and strategy team members using clear insights and recommendations.

The position is based in Gelato’s offices in London (UK), Oslo (Norway), Stockholm (Sweden), and Madrid (Spain)

What you will be doing

  • Own the design, development, and maintenance of metrics, reports and dashboards to drive key business performance visibility for finance and strategy teams.
  • Identify trends & patterns using internal and external data sources powered with analytic models to provide actionable insights to business decision-makers.
  • Generate forecasts, recommendations, and strategic/tactical plans necessary to drive and influence business decision-making.
  • Share your knowledge and build creative solutions while helping the team evolve best practices.

Who you are

  • 4 years+ of data analytics experience.
  • Strong attention to detail, ensuring accuracy and integrity in all your analyses
  • Good time management. You can handle multiple tasks, meeting deadlines without compromising quality.
  • Collaborative. You work well in a team environment, collaborating effectively with cross-functional teams.
  • Strong project and stakeholder management skills. You keep all stakeholders informed and manage expectations effectively.
  • Extensive hands-on experience in SQL.
  • Experience with data visualization and BI tools like Looker/Tableau/PowerBI.
  • Good knowledge of statistical analysis.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Experience with finance data or in finance related roles.
  • Advanced experience with Looker.
  • Experience in management consulting would be a plus.

What we offer

We offer you a chance to be part of a truly amazing journey in a company that sets very high targets and works hard to achieve them. You will be able to work with smart, motivated, and engaged co-workers from all over the world, in an intense and very energetic environment. This leads to you having a tangible impact on the way that we operate and expand our business.

Some of the highlights of the package include:

  • Strong technical culture of continuous innovation and improvement
  • Chance to become a shareholder of Gelato!
  • Flexible festive holidays, swap days off according to your values and beliefs.
  • Work at one of our hub city offices or even remotely
  • And much much more!

What it’s like to work at Gelato

We are a customer-obsessed team with the ambition to change the world by connecting technology to the printing industry and making it much more sustainable. Everyone who joins our team must feel genuinely intrigued and motivated by our mission. We expect a lot. We are a driven team with big goals, so we seek individuals who are genuinely passionate about their work and possess an entrepreneurial spirit. Our culture is unique and we live by our values, so it's worth learning more about our culture and how we work before presenting your application.

At Gelato, we pride ourselves on our global presence with 14 offices worldwide, fostering a dynamic and diverse work environment. Rooted in a culture that values collaboration, creativity, and camaraderie, we actively cultivate a company culture that thrives on shared experiences. We encourage team members to embrace this culture by working from our inspiring office spaces at least three days a week, allowing for meaningful connections and collective growth.

Lastly, we ask that you please upload your CV in English, regardless of which country you are applying from.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3992426243,https://de.linkedin.com/jobs/view/senior-data-analyst-m-f-d-at-oetker-digital-3992426243?position=22&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=7zkgCbn4arqP8tR%2F%2Bbg8rQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst (m/f/d),Oetker Digital,Berlin Metropolitan Area,"THIS IS US + +At Oetker Digital, we partner with the Oetker Group companies to define what digital business transformation means and to create business value and impact based on data, technology and talents, so that they can unlock their digital future. We support many beloved brands such as Dr. Oetker, Radeberger and Coppenrath & Wiese. + +With our team of about 100 talented individuals from diverse backgrounds, based in our Berlin headquarters, we foster an open, positive learning culture, driven by our shared values and the spirit of a family-run company. + + + + + + + +THE ROLE + +As a Senior Data Analyst at Oetker Digital, you will play a critical role in owning and leveraging data to drive business decisions and strategies. You will work closely with various teams and business partners on the side of our Group companies to ask the right questions, deeply understand the business domains and processes, analyze datasets, generate insights and business cases based on data that help our brands grow and succeed in the digital space. Your expertise will guide the optimization of brand, marketing and sales strategies, product development, and customer engagement initiatives. + + + + + + + +WHAT YOU'LL DO + +Partner and collaborate closely with business stakeholders to understand their strategies, needs and objectives +Develop and maintain strong relationships with key business partners to ensure data solutions align with business goals +Act as a consultant, using probing questions to gain deep insights into the business domain and processes +Analyze datasets to extract actionable insights and support data-driven decision making +Develop and implement statistical models to solve complex business problems +Communicate insights in a compelling and accessible manner to support data-driven decision-making +Translate complex data findings into clear, actionable insights through effective data storytelling + + + + + + + +WHAT YOU'LL BRING + +At least 5 years of experience in data analysis or data consulting, preferably within a business context, preferably in Consulting +A Bachelor’s or Master’s degree in a related field (e.g., Economics, Statistics, Mathematics, Computer Science) +Proficiency in SQL and/or Python for data analysis and modeling +Experiences with Cloud platforms for data storage and processing, having worked with BigQuery is a plus +Experience with data visualization tools such as Power BI or Tableau +Experience in Marketing Analytics & Optimization +A proactive and collaborative mindset, with the ability to work effectively in cross-functional teams +Strong analytical and problem-solving skills with the ability to communicate complex ideas clearly +You like to learn, work hands-on, take ownership, and have an impact +Fluent in German and English + + + + + + + +WHAT WE OFFER + +Modern and dog friendly office located at the heart of Berlin +Hybrid working model with flexible working hours for a healthy work-life balance +We work in cross-functional and international teams and have regular company/team events +28 days of paid vacation, plus Christmas and New Year’s Eve off, as well as the possibility to take a sabbatical or additional unpaid leave +10 paid child’s sick days per year +Annual learning and development budget purchase educational resources up to €1.500 +Equipment of your choice: Macbook or Lenovo, plus additional devices for your home office set up +Subsidized Urban Sports Club Membership or BVG Deutschland Ticket +Mental well-being support, including individual sessions, through our partner Likeminded +Company pension scheme and personal accident insurance +Corporate discounts from a wide range of external partners + + + + + + + +Diversity and Inclusion + +At Oetker Digital, we believe that diversity, equity and inclusion are crucial elements of a respectful and inspiring workplace. We value the unique experiences that each individual brings to our team, and we are committed to creating a culture where everyone feels valued. + +We are an equal opportunity employer and welcome applications from candidates of all walks of life, backgrounds, identities, and experiences. Even if you don't meet all the requirements above, we actively encourage you to apply. We're eager to learn about the perspective you can bring to our team! + +Show more ","
+ + + + + +
+
+

THIS IS US

At Oetker Digital, we partner with the Oetker Group companies to define what digital business transformation means and to create business value and impact based on data, technology and talents, so that they can unlock their digital future. We support many beloved brands such as Dr. Oetker, Radeberger and Coppenrath & Wiese.

With our team of about 100 talented individuals from diverse backgrounds, based in our Berlin headquarters, we foster an open, positive learning culture, driven by our shared values and the spirit of a family-run company.



THE ROLE

As a Senior Data Analyst at Oetker Digital, you will play a critical role in owning and leveraging data to drive business decisions and strategies. You will work closely with various teams and business partners on the side of our Group companies to ask the right questions, deeply understand the business domains and processes, analyze datasets, generate insights and business cases based on data that help our brands grow and succeed in the digital space. Your expertise will guide the optimization of brand, marketing and sales strategies, product development, and customer engagement initiatives.



WHAT YOU'LL DO

  • Partner and collaborate closely with business stakeholders to understand their strategies, needs and objectives
  • Develop and maintain strong relationships with key business partners to ensure data solutions align with business goals
  • Act as a consultant, using probing questions to gain deep insights into the business domain and processes
  • Analyze datasets to extract actionable insights and support data-driven decision making
  • Develop and implement statistical models to solve complex business problems
  • Communicate insights in a compelling and accessible manner to support data-driven decision-making
  • Translate complex data findings into clear, actionable insights through effective data storytelling



WHAT YOU'LL BRING

  • At least 5 years of experience in data analysis or data consulting, preferably within a business context, preferably in Consulting
  • A Bachelor’s or Master’s degree in a related field (e.g., Economics, Statistics, Mathematics, Computer Science)
  • Proficiency in SQL and/or Python for data analysis and modeling
  • Experiences with Cloud platforms for data storage and processing, having worked with BigQuery is a plus
  • Experience with data visualization tools such as Power BI or Tableau
  • Experience in Marketing Analytics & Optimization
  • A proactive and collaborative mindset, with the ability to work effectively in cross-functional teams
  • Strong analytical and problem-solving skills with the ability to communicate complex ideas clearly
  • You like to learn, work hands-on, take ownership, and have an impact
  • Fluent in German and English



WHAT WE OFFER

  • Modern and dog friendly office located at the heart of Berlin
  • Hybrid working model with flexible working hours for a healthy work-life balance
  • We work in cross-functional and international teams and have regular company/team events
  • 28 days of paid vacation, plus Christmas and New Year’s Eve off, as well as the possibility to take a sabbatical or additional unpaid leave
  • 10 paid child’s sick days per year
  • Annual learning and development budget purchase educational resources up to €1.500
  • Equipment of your choice: Macbook or Lenovo, plus additional devices for your home office set up
  • Subsidized Urban Sports Club Membership or BVG Deutschland Ticket
  • Mental well-being support, including individual sessions, through our partner Likeminded
  • Company pension scheme and personal accident insurance
  • Corporate discounts from a wide range of external partners



Diversity and Inclusion

At Oetker Digital, we believe that diversity, equity and inclusion are crucial elements of a respectful and inspiring workplace. We value the unique experiences that each individual brings to our team, and we are committed to creating a culture where everyone feels valued.

We are an equal opportunity employer and welcome applications from candidates of all walks of life, backgrounds, identities, and experiences. Even if you don't meet all the requirements above, we actively encourage you to apply. We're eager to learn about the perspective you can bring to our team!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3980338598,https://de.linkedin.com/jobs/view/senior-business-intelligence-bi-analyst-f-m-x-at-seven-senders-3980338598?position=24&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=5a3xkNEsqbGFtA5Flqf6Uw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Business Intelligence (BI) Analyst (f/m/x),Seven Senders,"Berlin, Berlin, Germany","At Seven Senders, we connect people and markets, making international shipping a simple matter. + +We are the leading platform for cross-border parcel delivery in Europe. We support e-commerce companies in successfully implementing their growth and internationalization plans and connecting millions of consumers with their desired products. Whether the focus is on speed or cost efficiency, we provide direct access to Europe's premier local carriers. Responsible for the daily end-to-end supply chain from the warehouse to the customer's doorstep, we ensure the parcels reach their destination efficiently and reliably. + +Our mission is to connect markets with unparalleled ease using our innovative platform, which combines the best European delivery services with local logistics expertise. Since Johannes Plehn and Thomas Hagemann founded the company in Berlin in 2015, we've grown into a dedicated team of over 220 professionals. Today, we're proud to serve renowned clients such as ASOS, Shop Apotheke and Tamaris, continually advancing our journey as a European operating champion. + + + +Job Description + + + +At Seven Senders, our Business Intelligence team, led by Jimi Herrera, stands as the cornerstone of our data-driven ethos. We champion self-sufficient BI, fueling analytics and informed decisions with cutting-edge technology and streamlined workflows. We merge internal and external data from the 7S supply chain within our data hub, delivering enhanced intelligence and optimal automation to all stakeholders. + + +In this role, you will work closely with our data engineers to provide the best data models and collaborate with different stakeholders from the business on all levels to make data-driven decisions. You will be working to conduct a thorough analysis of large and complex data sets to extract meaningful insights. + + +The essence of your role + +Develop and maintain robust data models, reports, and dashboards to analyze and visualize complex datasets. +Identify opportunities to improve processes and strategies with technology solutions. +Ensure quality control over data, analyses, and metrics. +Provide recommendations to the business by interpreting disparate data and translating ad hoc requests to deliver relevant and impactful results consistently. +Work closely with Data Engineers to provide the best data models. + + + +Qualifications + + + +This is what you need to succeed + ++4 years of professional experience as a Business Intelligence Analyst, Data Analyst, or in a relevant field. +Excellent SQL skills with experience with cloud-based data warehouse solutions (Snowflake experience is a plus). +High proficiency in data visualization tools like Looker, Tableau, Power BI, or similar tools. +Previous experience in e-commerce or logistics. +Proactive and solution-oriented attitude. + + + +Additional Information + + + +What we offer: + +Flexible & Hybrid Work: Our office is at Alexanderplatz; we have a hybrid working model with flexible remote-office set-up and working hours. And if you wish, you can work from almost anywhere for up to 2 months per year. + +Personal Growth: We want you to grow and develop your career with us. In addition to exciting opportunities, we offer a development platform with professional training programs and a culture that champions personal and career development. + +Benefits: We offer a corporate benefits platform and German & English language courses. + +Mission Zero: Climate-neutral and long-term impact. With our green initiatives, we are reaching climate neutrality for ourselves, and hopefully, we're inspiring the entire logistics sector to join us to create a sustainable future. + +Vibrant Culture & Community: We embody collaboration, open doors, and no-fuss results focus, and we are successful with our data-driven and efficient working approach. We like to celebrate and come together, and we strive for a workplace buzzing with energy and camaraderie, highlighted by regular team events, BBQs, and company-wide celebrations. + +Inclusive Environment: We value diversity and welcome all applicants regardless of ethnicity, religion, national origin, sexual orientation, gender identity, age, or disability. + +Show more ","
+ + + + + +
+
+

At Seven Senders, we connect people and markets, making international shipping a simple matter.

We are the leading platform for cross-border parcel delivery in Europe. We support e-commerce companies in successfully implementing their growth and internationalization plans and connecting millions of consumers with their desired products. Whether the focus is on speed or cost efficiency, we provide direct access to Europe's premier local carriers. Responsible for the daily end-to-end supply chain from the warehouse to the customer's doorstep, we ensure the parcels reach their destination efficiently and reliably.

Our mission is to connect markets with unparalleled ease using our innovative platform, which combines the best European delivery services with local logistics expertise. Since Johannes Plehn and Thomas Hagemann founded the company in Berlin in 2015, we've grown into a dedicated team of over 220 professionals. Today, we're proud to serve renowned clients such as ASOS, Shop Apotheke and Tamaris, continually advancing our journey as a European operating champion.

Job Description

At Seven Senders, our Business Intelligence team, led by Jimi Herrera, stands as the cornerstone of our data-driven ethos. We champion self-sufficient BI, fueling analytics and informed decisions with cutting-edge technology and streamlined workflows. We merge internal and external data from the 7S supply chain within our data hub, delivering enhanced intelligence and optimal automation to all stakeholders.


In this role, you will work closely with our data engineers to provide the best data models and collaborate with different stakeholders from the business on all levels to make data-driven decisions. You will be working to conduct a thorough analysis of large and complex data sets to extract meaningful insights.

The essence of your role

  • Develop and maintain robust data models, reports, and dashboards to analyze and visualize complex datasets.
  • Identify opportunities to improve processes and strategies with technology solutions.
  • Ensure quality control over data, analyses, and metrics.
  • Provide recommendations to the business by interpreting disparate data and translating ad hoc requests to deliver relevant and impactful results consistently.
  • Work closely with Data Engineers to provide the best data models.


Qualifications

This is what you need to succeed

  • +4 years of professional experience as a Business Intelligence Analyst, Data Analyst, or in a relevant field.
  • Excellent SQL skills with experience with cloud-based data warehouse solutions (Snowflake experience is a plus).
  • High proficiency in data visualization tools like Looker, Tableau, Power BI, or similar tools.
  • Previous experience in e-commerce or logistics.
  • Proactive and solution-oriented attitude.


Additional Information

What we offer:

Flexible & Hybrid Work: Our office is at Alexanderplatz; we have a hybrid working model with flexible remote-office set-up and working hours. And if you wish, you can work from almost anywhere for up to 2 months per year.

Personal Growth: We want you to grow and develop your career with us. In addition to exciting opportunities, we offer a development platform with professional training programs and a culture that champions personal and career development.

Benefits: We offer a corporate benefits platform and German & English language courses.

Mission Zero: Climate-neutral and long-term impact. With our green initiatives, we are reaching climate neutrality for ourselves, and hopefully, we're inspiring the entire logistics sector to join us to create a sustainable future.

Vibrant Culture & Community: We embody collaboration, open doors, and no-fuss results focus, and we are successful with our data-driven and efficient working approach. We like to celebrate and come together, and we strive for a workplace buzzing with energy and camaraderie, highlighted by regular team events, BBQs, and company-wide celebrations.

Inclusive Environment: We value diversity and welcome all applicants regardless of ethnicity, religion, national origin, sexual orientation, gender identity, age, or disability.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3981469180,https://de.linkedin.com/jobs/view/senior-revenue-data-analyst-at-wolt-3981469180?position=25&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=QJ2PwyJ%2FC3aAdjag%2F774nw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Revenue Data Analyst,Wolt,"Berlin, Berlin, Germany","Job Description + +What makes the Finance team so special is our ‘service first’ approach to the job - we enjoy creating strong communication loops with the wider business, so that bottlenecks are minimized and that things get done quickly and efficiently. + +Everybody is accountable for their own workload and takes pride in being meticulous and precise. We also enjoy learning and developing as we go - it’s important that you share this approach! + +Day-to-day: + + +Provide support in the implementation of our revenue subledger to scale our revenue accounting to the next level +Work closely with Product, Analytics and Engineering on country rollouts and data validations +Manage cross functional processes with Product, Analytics, Engineering and other Accounting process owners, to collect and implement accounting requirements from the business related to revenue data flow +Perform proactive in-depth accounting analysis, measurement, and reconciliations of key revenue accounts +Prepare deliverables for external audit review and testing, and SOX control documentation for internal audit teams +Detect and resolve data issues and reconciliation gaps +Ad hoc analyses and projects as assigned + + +Our humble expectations + + +Degree in Accounting, Finance, Business, Data Science or related field +Intermediate/Advanced SQL skills and ability to pull and work with large volumes of transactional data +5-7 years of experience in Accounting/Data Analytics or related field +Strong analytical and problem solving skills with demonstrated understanding of Accounting processes +Clear and concise communication with strong cross-functional partnership experience +Experience with Snowflake, NetSuite, Looker preferred +Data-obsessed and unafraid to go down to the lowest level of detail for truth +You are able to balance between attention to detail and swift execution +Experience in the gig economy or marketplace company is a plus +Comfortable using English as a working language +Must be eligible to work in the E.U. + + +Next Steps + +Why you'll love working with us + + +Continuous learning: Significant growth in a fast-scaling global tech firm. +Competitive compensation: Attractive salary package including stock options. +Flexible environment: Embrace a hybrid work model, blending office presence with flexibility. + + +If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! + +We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! + +If you have any further questions about the position, you can turn to: Talent Acquisition Partner - timur.novopashin@wolt.com + +Please note that we do not accept applications coming through email due to GDPR. Make sure to apply through our careers page, and submit your application in English! + +About Wolt + +Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt works together with over 30,000 restaurant and retail partners as well as with over 60,000 courier partners across 27 countries and 210 cities. + +Our apps (iOS and Android) have the industry’s highest reviews, largely because of our customer-centric approach to how we build our products and operations. For example, our customer service team responds in a matter of seconds, in the customer’s own language. + +In 2020, the Financial Times named us Europe’s second fastest growing company. We’re still expanding rapidly and are looking for more talented individuals to join us. If you are passionate about cutting-edge technology, great food, and making an impact in your city, then Wolt just might be for you. +Show more ","
+ + + + + +
+
+ Job Description

What makes the Finance team so special is our ‘service first’ approach to the job - we enjoy creating strong communication loops with the wider business, so that bottlenecks are minimized and that things get done quickly and efficiently.

Everybody is accountable for their own workload and takes pride in being meticulous and precise. We also enjoy learning and developing as we go - it’s important that you share this approach!

Day-to-day:

  • Provide support in the implementation of our revenue subledger to scale our revenue accounting to the next level
  • Work closely with Product, Analytics and Engineering on country rollouts and data validations
  • Manage cross functional processes with Product, Analytics, Engineering and other Accounting process owners, to collect and implement accounting requirements from the business related to revenue data flow
  • Perform proactive in-depth accounting analysis, measurement, and reconciliations of key revenue accounts
  • Prepare deliverables for external audit review and testing, and SOX control documentation for internal audit teams
  • Detect and resolve data issues and reconciliation gaps
  • Ad hoc analyses and projects as assigned

Our humble expectations

  • Degree in Accounting, Finance, Business, Data Science or related field
  • Intermediate/Advanced SQL skills and ability to pull and work with large volumes of transactional data
  • 5-7 years of experience in Accounting/Data Analytics or related field
  • Strong analytical and problem solving skills with demonstrated understanding of Accounting processes
  • Clear and concise communication with strong cross-functional partnership experience
  • Experience with Snowflake, NetSuite, Looker preferred
  • Data-obsessed and unafraid to go down to the lowest level of detail for truth
  • You are able to balance between attention to detail and swift execution
  • Experience in the gig economy or marketplace company is a plus
  • Comfortable using English as a working language
  • Must be eligible to work in the E.U.

Next Steps

Why you'll love working with us

  • Continuous learning: Significant growth in a fast-scaling global tech firm.
  • Competitive compensation: Attractive salary package including stock options.
  • Flexible environment: Embrace a hybrid work model, blending office presence with flexibility.

If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!

We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today!

If you have any further questions about the position, you can turn to: Talent Acquisition Partner - timur.novopashin@wolt.com

Please note that we do not accept applications coming through email due to GDPR. Make sure to apply through our careers page, and submit your application in English!

About Wolt

Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt works together with over 30,000 restaurant and retail partners as well as with over 60,000 courier partners across 27 countries and 210 cities.

Our apps (iOS and Android) have the industry’s highest reviews, largely because of our customer-centric approach to how we build our products and operations. For example, our customer service team responds in a matter of seconds, in the customer’s own language.

In 2020, the Financial Times named us Europe’s second fastest growing company. We’re still expanding rapidly and are looking for more talented individuals to join us. If you are passionate about cutting-edge technology, great food, and making an impact in your city, then Wolt just might be for you. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3986172530,https://de.linkedin.com/jobs/view/remote-data-integrity-analyst-at-intoude-foundation-too-3986172530?position=27&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=zelDd%2FBW2H1DL6czjejdKQ%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Data Integrity Analyst,Intoude Foundation Too,"Berlin, Berlin, Germany","Job Description + +We are looking for a meticulous Remote Data Integrity Analyst to ensure the accuracy and reliability of our data entries into company databases and CRM systems. The ideal candidate will have strong analytical skills, a keen eye for detail, and a commitment to data integrity. + +Responsibilities: + + +Verify and correct data entries for accuracy and completeness. +Conduct regular data audits to ensure data integrity. +Maintain confidentiality and handle sensitive information responsibly. +Perform regular data backups and digital filing. +Assist with other administrative tasks as required. + + +Qualifications: + + +High school diploma or equivalent; additional education or certification in data management is a plus. +Proven experience as a data entry clerk or similar position. +Excellent analytical and problem-solving skills. +Proficiency in Microsoft Office Suite (Word, Excel) and Google Workspace. +Familiarity with data entry software and tools. +Strong attention to detail and organizational skills. +Ability to work independently with minimal supervision. +Reliable internet connection and a quiet workspace. + + +Benefits: + + +Competitive hourly wage. +Flexible working hours. +Opportunity to work from the comfort of your home. +Supportive and collaborative team environment. +Opportunities for career growth and advancement. +Show more ","
+ + + + + +
+
+ Job Description

We are looking for a meticulous Remote Data Integrity Analyst to ensure the accuracy and reliability of our data entries into company databases and CRM systems. The ideal candidate will have strong analytical skills, a keen eye for detail, and a commitment to data integrity.

Responsibilities:

  • Verify and correct data entries for accuracy and completeness.
  • Conduct regular data audits to ensure data integrity.
  • Maintain confidentiality and handle sensitive information responsibly.
  • Perform regular data backups and digital filing.
  • Assist with other administrative tasks as required.

Qualifications:

  • High school diploma or equivalent; additional education or certification in data management is a plus.
  • Proven experience as a data entry clerk or similar position.
  • Excellent analytical and problem-solving skills.
  • Proficiency in Microsoft Office Suite (Word, Excel) and Google Workspace.
  • Familiarity with data entry software and tools.
  • Strong attention to detail and organizational skills.
  • Ability to work independently with minimal supervision.
  • Reliable internet connection and a quiet workspace.

Benefits:

  • Competitive hourly wage.
  • Flexible working hours.
  • Opportunity to work from the comfort of your home.
  • Supportive and collaborative team environment.
  • Opportunities for career growth and advancement.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3991531597,https://de.linkedin.com/jobs/view/senior-data-analyst-customer-analytics-all-genders-at-zalando-3991531597?position=28&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=qnnHt%2FcBCrQLZJUpQtqG4g%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst - Customer Analytics (all genders),Zalando,"Berlin, Berlin, Germany","You work for the Customer Analytics team in Zalando’s Markets organisation, which enables data driven business strategies for 20+ countries. Through our customer analytics and customer segmentations we put our customers at the centre of every marketing and retail decision. As a Data Analyst in the Customer Analytics team, you will put customer data at the core of our decisions and processes. + +WHERE YOUR EXPERTISE IS NEEDED + + + +You derive actionable customer insights and recommendations to fuel our Zalando business and the customer strategy. Your insights are derived from deep dive analysis you perform using a broad range of analytical methods and visualisations applied to data from various sources (transactional data, onsite data etc) +You proactively share your insights and recommendations in regular business reviews to senior management by providing compelling visualisations and stories. You seek opportunities to spread the insights beyond regular touchpoints with the aim of sourcing new business opportunities +You develop and optimise forecasting models for key customer metrics and provide expertise on current and expected trends for central planning efforts in close collaboration with our commercial planning teams +You drive analytical and data mindset in the team and provide senior guidance to your team members +You effectively collaborate with other analysts, data scientists, engineers to untap new sources of data and know how + + + +What We’re Looking For + + + +5+ years of experience in using data in smart and creative ways to answer business questions incl. model driven statistical analysis. Very good quantitative degree, e.g. in Economics, Social Science, Statistics, Mathematics, Computer Science or related fields. +Proficient in data transformation and statistical computing in SQL and Python as well as strong skills in data visualisation. Basic experience in Google Analytics (BigQuery), MicroStrategy/Tableau, Airflow, Spark / DataBricks, and / or Github. Knowledge of basic time series forecasting techniques (SARIMAX, Prophet, Covariates) is considered a plus +Strong communication and visualisation skills and the ability to translate complex datasets into understandable and actionable insights and present to senior management in order to impact their decisions and strategy +Being curious and proactively creating insights while demonstrating end to end ownership of analytical projects. You innovate on new methodologies and datasets but also have a good sense when an pragmatic solution is sufficient +You are a role model and proved to be a mentor for junior to mid level team members + + + +OUR OFFER + +Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. + + + +Employee shares program +40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners +2 paid volunteering days a year +Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration +Work from abroad for up to 30 working days a year +27 days of vacation a year (for Zalando SE) +Relocation assistance available (subject to prior agreement) +Family services, including counseling and support +Health and wellbeing options (including Gympass) +Mental health support and coaching available + + + +Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us +Show more ","
+ + + + + +
+
+ You work for the Customer Analytics team in Zalando’s Markets organisation, which enables data driven business strategies for 20+ countries. Through our customer analytics and customer segmentations we put our customers at the centre of every marketing and retail decision. As a Data Analyst in the Customer Analytics team, you will put customer data at the core of our decisions and processes.

WHERE YOUR EXPERTISE IS NEEDED


  • You derive actionable customer insights and recommendations to fuel our Zalando business and the customer strategy. Your insights are derived from deep dive analysis you perform using a broad range of analytical methods and visualisations applied to data from various sources (transactional data, onsite data etc)
  • You proactively share your insights and recommendations in regular business reviews to senior management by providing compelling visualisations and stories. You seek opportunities to spread the insights beyond regular touchpoints with the aim of sourcing new business opportunities
  • You develop and optimise forecasting models for key customer metrics and provide expertise on current and expected trends for central planning efforts in close collaboration with our commercial planning teams
  • You drive analytical and data mindset in the team and provide senior guidance to your team members
  • You effectively collaborate with other analysts, data scientists, engineers to untap new sources of data and know how


What We’re Looking For


  • 5+ years of experience in using data in smart and creative ways to answer business questions incl. model driven statistical analysis. Very good quantitative degree, e.g. in Economics, Social Science, Statistics, Mathematics, Computer Science or related fields.
  • Proficient in data transformation and statistical computing in SQL and Python as well as strong skills in data visualisation. Basic experience in Google Analytics (BigQuery), MicroStrategy/Tableau, Airflow, Spark / DataBricks, and / or Github. Knowledge of basic time series forecasting techniques (SARIMAX, Prophet, Covariates) is considered a plus
  • Strong communication and visualisation skills and the ability to translate complex datasets into understandable and actionable insights and present to senior management in order to impact their decisions and strategy
  • Being curious and proactively creating insights while demonstrating end to end ownership of analytical projects. You innovate on new methodologies and datasets but also have a good sense when an pragmatic solution is sufficient
  • You are a role model and proved to be a mentor for junior to mid level team members


OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.


  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year (for Zalando SE)
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available


Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3994587569,https://de.linkedin.com/jobs/view/data-analyst-0-experience-required-at-peroptyx-3994587569?position=31&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=QwFevRVXNcKIOCurTVgR9Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (0 Experience Required),Peroptyx,"Berlin, Germany","For thousands of years, maps have provided humans with the knowledge they need to make decisions. As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country. + + + + +At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe. + + + + +As part of this role you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences. + + + + +With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine. + + + + +So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge a part-time/full time professional or a work from home parent, Peroptyx has the right role for you! + + + + +Ideal Candidate + +Fluent in English and German. +Excellent research skills. +Excellent local knowledge of your home country. +Good understanding and general knowledge of the geography and culture of Germany. +Analytical mindset. + + + + +Job Requirements + +Must be living in Germany for a minimum of 5 consecutive years. +Must pass an online open-book exam that can verify your full understanding of the material and concepts. +Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability. +Good working knowledge of search engines, map applications and familiarity with social media platforms. +Strong ability to learn, understand and apply multiple sets of different instructions. +All work must be of an independent nature. + + + + +Benefits + + + + +· Work up to 20 hours per week. + +· Earn a competitive rate of pay. + +· Develop your research skills. + +· Avoid the long commute. + +· Work from the comfort of your home office. + +· Enjoy the flexibility of setting your own working hours! + + + + +Apply Online Today! + +Show more ","
+ + + + + +
+
+

For thousands of years, maps have provided humans with the knowledge they need to make decisions. As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country.


At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe.


As part of this role you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences.


With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine.


So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge a part-time/full time professional or a work from home parent, Peroptyx has the right role for you!


Ideal Candidate

  • Fluent in English and German.
  • Excellent research skills.
  • Excellent local knowledge of your home country.
  • Good understanding and general knowledge of the geography and culture of Germany.
  • Analytical mindset.


Job Requirements

  • Must be living in Germany for a minimum of 5 consecutive years.
  • Must pass an online open-book exam that can verify your full understanding of the material and concepts.
  • Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability.
  • Good working knowledge of search engines, map applications and familiarity with social media platforms.
  • Strong ability to learn, understand and apply multiple sets of different instructions.
  • All work must be of an independent nature.


Benefits


· Work up to 20 hours per week.

· Earn a competitive rate of pay.

· Develop your research skills.

· Avoid the long commute.

· Work from the comfort of your home office.

· Enjoy the flexibility of setting your own working hours!


Apply Online Today!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3980580854,https://de.linkedin.com/jobs/view/staff-data-analyst-digital-tracking-f-m-x-at-hellofresh-3980580854?position=34&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=xVeW8Iz%2BJtoIOD1i2zPh%2FA%3D%3D&trk=public_jobs_jserp-result_search-card,Staff Data Analyst - Digital Tracking (f/m/x),HelloFresh,"Berlin, Berlin, Germany","The role + +Our Behavioral Data Squad is a cross-functional team with end-to-end ownership of digital tracking across all markets globally at HelloFresh, from infrastructure all the way to the curated data products. As our Staff Data Analyst, you will play an integral part in ensuring data quality, governance and observability by defining and building the metrics, visualisations, and targets within the squad. You will also be a data detective, deep diving into root cause analyses of tracking discrepancies or anomalous readings, to further drive up trust and adoption. + +If you are an expert analyst and a self-starter, with the product-sense to create effective success metrics and use these to inspire trust in a global business, this could be the role for you. Your deep understanding of behavioural tracking infrastructure, data models, and how this data should be consumed efficiently will ensure your impact across the breadth of HelloTech, proactively identifying needs and pain points across Data Infrastructure, Platform, Engineering and Analytics, and defining solutions to constantly improve the way we work. So while you are an individual contributor, you are a key owner of best practices across our teams. + +What You’ll Do + + +Accountable for your teams’ data catalogue and delivery documentation +Collaborate from a technical perspective with data product managers and data engineers to create reusable data products +Collaborate with cross-functional teams to gather requirements and define project objectives while utilising project management skills to plan and execute data-driven projects +Partner widely across the Senior Product organisation (Product, Software Engineering, UX leads) to set strategic priorities and promote a culture rooted in evidence-based decision making. +Communicate actionable insights clearly across the organisation highlighting the “so-whats” of your analyses in order to drive the growth of our business. +Explore and analyse customer behaviour and product performance data in order to detect growth opportunities for the HelloFresh digital product by improving user experience. +Guide and mentor other Product Analysts within our team, defining best practices and providing support to help individuals and the team grow in effectiveness +Review as a technical expert the implementations of multiple teams across domains, continuously improving the deliverables of your teams + + +What You'll Bring + + +Experience with digital tracking and tag management in a B2C environment +Extensive experience in quantitative analysis roles, ideally including having worked closely with product teams for at least 5 years. +Excellent technical skills applying expert level SQL and Python for both analysis and efficient manipulation of large data sets. +Expert level knowledge of data visualisation tools like Tableau which we use to create compelling visualisations to convey complex data. +Extensive experience working with product stakeholders in setting up A|B experiments, interpreting results and deep diving to understand the impact of particular experiments. +Excellent communication skills, taking complex business problems, articulating these as analytical problems and presenting your findings in a clear and precise way. +Extensive leadership of complex projects you have led, capability building within your team, and through mentorship or direct people management. +A change mindset, the status quo is not an impediment +You are outcome oriented, and can take a business challenge, create actionable analytical insights against it, and align stakeholders on actions to create business value. + + +#data + +JR101627 +Show more ","
+ + + + + +
+
+ The role

Our Behavioral Data Squad is a cross-functional team with end-to-end ownership of digital tracking across all markets globally at HelloFresh, from infrastructure all the way to the curated data products. As our Staff Data Analyst, you will play an integral part in ensuring data quality, governance and observability by defining and building the metrics, visualisations, and targets within the squad. You will also be a data detective, deep diving into root cause analyses of tracking discrepancies or anomalous readings, to further drive up trust and adoption.

If you are an expert analyst and a self-starter, with the product-sense to create effective success metrics and use these to inspire trust in a global business, this could be the role for you. Your deep understanding of behavioural tracking infrastructure, data models, and how this data should be consumed efficiently will ensure your impact across the breadth of HelloTech, proactively identifying needs and pain points across Data Infrastructure, Platform, Engineering and Analytics, and defining solutions to constantly improve the way we work. So while you are an individual contributor, you are a key owner of best practices across our teams.

What You’ll Do

  • Accountable for your teams’ data catalogue and delivery documentation
  • Collaborate from a technical perspective with data product managers and data engineers to create reusable data products
  • Collaborate with cross-functional teams to gather requirements and define project objectives while utilising project management skills to plan and execute data-driven projects
  • Partner widely across the Senior Product organisation (Product, Software Engineering, UX leads) to set strategic priorities and promote a culture rooted in evidence-based decision making.
  • Communicate actionable insights clearly across the organisation highlighting the “so-whats” of your analyses in order to drive the growth of our business.
  • Explore and analyse customer behaviour and product performance data in order to detect growth opportunities for the HelloFresh digital product by improving user experience.
  • Guide and mentor other Product Analysts within our team, defining best practices and providing support to help individuals and the team grow in effectiveness
  • Review as a technical expert the implementations of multiple teams across domains, continuously improving the deliverables of your teams

What You'll Bring

  • Experience with digital tracking and tag management in a B2C environment
  • Extensive experience in quantitative analysis roles, ideally including having worked closely with product teams for at least 5 years.
  • Excellent technical skills applying expert level SQL and Python for both analysis and efficient manipulation of large data sets.
  • Expert level knowledge of data visualisation tools like Tableau which we use to create compelling visualisations to convey complex data.
  • Extensive experience working with product stakeholders in setting up A|B experiments, interpreting results and deep diving to understand the impact of particular experiments.
  • Excellent communication skills, taking complex business problems, articulating these as analytical problems and presenting your findings in a clear and precise way.
  • Extensive leadership of complex projects you have led, capability building within your team, and through mentorship or direct people management.
  • A change mindset, the status quo is not an impediment
  • You are outcome oriented, and can take a business challenge, create actionable analytical insights against it, and align stakeholders on actions to create business value.

#data

JR101627 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-20,[] +3987540866,https://de.linkedin.com/jobs/view/senior-data-analyst-business-analytics-at-getyourguide-3987540866?position=37&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=iyHrL73SjecygrvJcbcwmw%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Analyst, Business Analytics",GetYourGuide,"Berlin, Berlin, Germany","About GetYourGuide + +GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, people from all over the world have booked more than 150 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 800 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more. + +Team mission + +The Analytics team's mission is to enable the organisation to take action based on data. We work on a variety of problems and datasets as members of cross-functional mission teams. We take ownership of the entire analytics funnel, from exploration through recommendations to impact measurement, and take pride in the insights we generate. + +This specific position is within our Business Analytics and will see you collaborate primarily with the Supply Tech Team to improve supplier engagement and, in turn increase the inventory available on the marketplace for our travellers + +You Will + + +Develop quantitative analysis to drive product and business decisions and strategy +Explore large datasets, give meaning to data and numbers, identify opportunities and issues, and present findings to stakeholders +Design and implement metrics, dashboards, and reports +Serve as a liaison between the product teams and the data engineering team +Mentor others in the skills needed for this role + + +Who You Are + + +5+ years of relevant experience interpreting data in an analytics, data science or business intelligence role +Strong knowledge of SQL and Python for analysis (eg: pandas, scikit-learn) +Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks, Databricks) +Ability to understand user behavior and meaning behind the numbers +Desire to work in an international environment, with minimal direction and with highly engaged individuals +Excellent written and verbal communication skills in English + + +Nice to have + + +Experience with big data tools (e.g. Spark, Hive) is a plus +Experience working in Marketplace business +Experience solving Marketplace operations questions, such as understanding inventory diversity. +Experience in statistical modelling. +Experience in B2B product analytics. + + +How We Set You Up For Success + + +Invest in your development with an annual personal growth budget +Create a comfortable workspace at home with an annual home office budget +Enjoy flexibility with a hybrid work-from-home and telecommuting policy +Save on transportation costs with discounted public transportation tickets +Support your loved ones with generous maternity and paternity leave policies + + +And more... + +We look forward to hearing from you + +Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via jobs@getyourguide.com. + +We are an equal opportunity employer + +Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application. +Show more ","
+ + + + + +
+
+ About GetYourGuide

GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, people from all over the world have booked more than 150 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 800 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more.

Team mission

The Analytics team's mission is to enable the organisation to take action based on data. We work on a variety of problems and datasets as members of cross-functional mission teams. We take ownership of the entire analytics funnel, from exploration through recommendations to impact measurement, and take pride in the insights we generate.

This specific position is within our Business Analytics and will see you collaborate primarily with the Supply Tech Team to improve supplier engagement and, in turn increase the inventory available on the marketplace for our travellers

You Will

  • Develop quantitative analysis to drive product and business decisions and strategy
  • Explore large datasets, give meaning to data and numbers, identify opportunities and issues, and present findings to stakeholders
  • Design and implement metrics, dashboards, and reports
  • Serve as a liaison between the product teams and the data engineering team
  • Mentor others in the skills needed for this role

Who You Are

  • 5+ years of relevant experience interpreting data in an analytics, data science or business intelligence role
  • Strong knowledge of SQL and Python for analysis (eg: pandas, scikit-learn)
  • Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks, Databricks)
  • Ability to understand user behavior and meaning behind the numbers
  • Desire to work in an international environment, with minimal direction and with highly engaged individuals
  • Excellent written and verbal communication skills in English

Nice to have

  • Experience with big data tools (e.g. Spark, Hive) is a plus
  • Experience working in Marketplace business
  • Experience solving Marketplace operations questions, such as understanding inventory diversity.
  • Experience in statistical modelling.
  • Experience in B2B product analytics.

How We Set You Up For Success

  • Invest in your development with an annual personal growth budget
  • Create a comfortable workspace at home with an annual home office budget
  • Enjoy flexibility with a hybrid work-from-home and telecommuting policy
  • Save on transportation costs with discounted public transportation tickets
  • Support your loved ones with generous maternity and paternity leave policies

And more...

We look forward to hearing from you

Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via jobs@getyourguide.com.

We are an equal opportunity employer

Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3982426022,https://de.linkedin.com/jobs/view/lead-data-analyst-f-m-d-at-kolibri-games-3982426022?position=38&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=L455bomOv5I6RUkG5sJX3Q%3D%3D&trk=public_jobs_jserp-result_search-card,Lead Data Analyst (f/m/d),Kolibri Games,"Berlin, Germany","Lead Data Analyst (f/m/d) + + + + +As a Lead Game Data Analyst, you will play a pivotal role in shaping our games' success by leveraging data insights to drive strategic decisions across game design, player behavior analysis, and monetization strategies. You will collaborate closely with cross-functional teams to ensure our games remain competitive and captivating in the dynamic gaming industry landscape. + + + + +We have ambitious plans around growth and the data team is integral to our success, directly impacting our key decisions. + +As the Lead Data Analyst, you will lead a team of data analysts and spearhead our data efforts in Product, User Acquisition and monetization, leveraging data to drive decisions and strategies that significantly boost our performance and revenue. + + + + +Responsibilities + + + + +Lead and mentor a team of data analysts, fostering a culture of collaboration, innovation, and continuous learning. +Utilize exceptional problem-solving and critical-thinking skills to interpret complex game telemetry data and identify actionable insights. +Communicate effectively with stakeholders and executive leadership, presenting data-driven recommendations to drive informed decision-making. +Champion a data-driven culture within the organization, promoting data literacy and empowering team members to leverage key performance indicators (KPIs) for strategic initiatives. +Work with the Data Engineering team to help direct their efforts and be the key communicator between the main stakeholders in the company requiring data +Drive experimentation and A/B testing initiatives to evaluate the impact of game changes on player behavior, monetization, and engagement. +Analyze player retention and churn rates, identifying opportunities to enhance player experiences and maximize long-term value. +Collaborate with Product Leads and Head of Growth to influence product development and strategies by gaining insights through analysis of patterns, relationships and trends across complex data sets, directly impacting the company and game revenue. +Stay updated on industry trends and best practices, leveraging advanced understanding of game monetization and marketing strategies to maintain a competitive edge, as well as, digital marketing environment and marketing measuring frameworks. +Build and monitor predictive models that will help daily Product, User Acquisition and Monetization decisions. + + + + +Required Skills + + + + +5+ years of experience in data analysis in the gaming industry. +Proven experience managing a team, having exceptional leadership and team-building capabilities +Experience with real-time data analysis for live operations in games. +Ability to write complex queries using languages such as SQL +Experience using Python, BI tools such as Looker or similar +Previous experience with AB testing +Advanced understanding of game monetization and marketing strategies as well as key gaming industry KPIs and metrics +Games industry experience with a strong understanding of the game and player market +Strong problem-solving skills and creativity in addressing complex challenges. +Excellent communication and stakeholder management skills. +Ability to thrive in a fast-paced, collaborative environment. + + + + +Desirable Skills + + + + +Proficiency in additional programming languages (e.g., Java, C#, etc.). +Advanced understanding of game monetization and marketing strategies or game industry pattern +Experience with Product Data Science, including but not limited to Churn Prediction, LTV. +An applied understanding of Player Psychology and/or Economics. + +Show more ","
+ + + + + +
+
+

Lead Data Analyst (f/m/d)


As a Lead Game Data Analyst, you will play a pivotal role in shaping our games' success by leveraging data insights to drive strategic decisions across game design, player behavior analysis, and monetization strategies. You will collaborate closely with cross-functional teams to ensure our games remain competitive and captivating in the dynamic gaming industry landscape.


We have ambitious plans around growth and the data team is integral to our success, directly impacting our key decisions.

As the Lead Data Analyst, you will lead a team of data analysts and spearhead our data efforts in Product, User Acquisition and monetization, leveraging data to drive decisions and strategies that significantly boost our performance and revenue.


Responsibilities


  • Lead and mentor a team of data analysts, fostering a culture of collaboration, innovation, and continuous learning.
  • Utilize exceptional problem-solving and critical-thinking skills to interpret complex game telemetry data and identify actionable insights.
  • Communicate effectively with stakeholders and executive leadership, presenting data-driven recommendations to drive informed decision-making.
  • Champion a data-driven culture within the organization, promoting data literacy and empowering team members to leverage key performance indicators (KPIs) for strategic initiatives.
  • Work with the Data Engineering team to help direct their efforts and be the key communicator between the main stakeholders in the company requiring data
  • Drive experimentation and A/B testing initiatives to evaluate the impact of game changes on player behavior, monetization, and engagement.
  • Analyze player retention and churn rates, identifying opportunities to enhance player experiences and maximize long-term value.
  • Collaborate with Product Leads and Head of Growth to influence product development and strategies by gaining insights through analysis of patterns, relationships and trends across complex data sets, directly impacting the company and game revenue.
  • Stay updated on industry trends and best practices, leveraging advanced understanding of game monetization and marketing strategies to maintain a competitive edge, as well as, digital marketing environment and marketing measuring frameworks.
  • Build and monitor predictive models that will help daily Product, User Acquisition and Monetization decisions.


Required Skills


  • 5+ years of experience in data analysis in the gaming industry.
  • Proven experience managing a team, having exceptional leadership and team-building capabilities
  • Experience with real-time data analysis for live operations in games.
  • Ability to write complex queries using languages such as SQL
  • Experience using Python, BI tools such as Looker or similar
  • Previous experience with AB testing
  • Advanced understanding of game monetization and marketing strategies as well as key gaming industry KPIs and metrics
  • Games industry experience with a strong understanding of the game and player market
  • Strong problem-solving skills and creativity in addressing complex challenges.
  • Excellent communication and stakeholder management skills.
  • Ability to thrive in a fast-paced, collaborative environment.


Desirable Skills


  • Proficiency in additional programming languages (e.g., Java, C#, etc.).
  • Advanced understanding of game monetization and marketing strategies or game industry pattern
  • Experience with Product Data Science, including but not limited to Churn Prediction, LTV.
  • An applied understanding of Player Psychology and/or Economics.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3987061333,https://de.linkedin.com/jobs/view/senior-data-analyst-operations-f-m-x-at-caronsale-3987061333?position=40&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=Ql4wzYqn2VfIKSEPGMIcCQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst - Operations (f/m/x),CarOnSale,"Berlin, Germany","CarOnSale is a start-up in the heart of Berlin. As a tech company, we have made it our mission to enable smooth digital processes in the automotive trade across Europe. Join us and develop new, innovative solutions for the B2B sector. + +For our Operations based at our HQ in Berlin - Schöneberg, we are looking for a Senior Data Analyst (f/m/x) + +Your tasks: + +Data Analysis: + + +Analyse and interpret data from various sources to extract meaningful insights. +Identify opportunities for data-driven decision-making within the organisation. +Define and maintain key performance indicators (KPIs) to measure success. + + + +Project Leadership: + + +Lead data exploration projects to uncover actionable insights. +Collaborate with cross-functional teams to identify and define data needs for various business initiatives. + + + +Dashboard Creation: + + +Develop and maintain dashboards that enable stakeholders to monitor and analyse critical business metrics. + + + +Report Generation: + + +Generate reports that provide valuable insights to support decision-making across multiple teams. + + + +Stakeholder Management: + + +Engage with internal stakeholders to ensure their expectations align with our deliverables. +Manage multiple projects simultaneously, setting clear expectations for scope and timeline. +Cultivate and maintain strong relationships with stakeholders and product managers. + + + +Enablement: + + +Provide support to enhance daily reporting and analytics tasks within the company. +Offer training and education to team members on data analysis tools and techniques for better decision-making + + + +Your profile + + +4+ years’ experience as a data analyst +Proven experience in data analysis, interpretation, and visualisation. +Proficiency in data analysis tools and languages (e.g., SQL, Tableau). +Experience working with Python. +Strong communication and presentation skills. +Ability to manage multiple projects with attention to detail. +Strong problem-solving and critical-thinking skills. +Familiarity with Google Analytics & tracking data +Fluency in English (C1) + + + +Nice to have: + + +Being able to communicate in German + + + +Why COS? + + +First things first: You’ll be taken seriously from day one and will play an important role in our mission, because we want to disrupt Europe’s automotive market together with you +Growth and development: benefit from a detailed on-boarding program, systematic feedback cycles and individual coaching +Your gear, your choice: you will be provided with a MacBook or Windows laptop and all the hardware and software you need to work +Become a COSie: be part of a motivated team with ambitious goals and enjoy lots of fun, lots of awesome team events and a unique COS team spirit +Truly diverse and inclusive: Diversity is important to you? It is important to us too! Diversity in which everyone feels comfortable, is absolutely central to us + + + +Show more ","
+ + + + + +
+
+ CarOnSale is a start-up in the heart of Berlin. As a tech company, we have made it our mission to enable smooth digital processes in the automotive trade across Europe. Join us and develop new, innovative solutions for the B2B sector.

For our Operations based at our HQ in Berlin - Schöneberg, we are looking for a Senior Data Analyst (f/m/x)

Your tasks:

Data Analysis:

  • Analyse and interpret data from various sources to extract meaningful insights.
  • Identify opportunities for data-driven decision-making within the organisation.
  • Define and maintain key performance indicators (KPIs) to measure success.


Project Leadership:

  • Lead data exploration projects to uncover actionable insights.
  • Collaborate with cross-functional teams to identify and define data needs for various business initiatives.


Dashboard Creation:

  • Develop and maintain dashboards that enable stakeholders to monitor and analyse critical business metrics.


Report Generation:

  • Generate reports that provide valuable insights to support decision-making across multiple teams.


Stakeholder Management:

  • Engage with internal stakeholders to ensure their expectations align with our deliverables.
  • Manage multiple projects simultaneously, setting clear expectations for scope and timeline.
  • Cultivate and maintain strong relationships with stakeholders and product managers.


Enablement:

  • Provide support to enhance daily reporting and analytics tasks within the company.
  • Offer training and education to team members on data analysis tools and techniques for better decision-making


Your profile

  • 4+ years’ experience as a data analyst
  • Proven experience in data analysis, interpretation, and visualisation.
  • Proficiency in data analysis tools and languages (e.g., SQL, Tableau).
  • Experience working with Python.
  • Strong communication and presentation skills.
  • Ability to manage multiple projects with attention to detail.
  • Strong problem-solving and critical-thinking skills.
  • Familiarity with Google Analytics & tracking data
  • Fluency in English (C1)


Nice to have:

  • Being able to communicate in German


Why COS?

  • First things first: You’ll be taken seriously from day one and will play an important role in our mission, because we want to disrupt Europe’s automotive market together with you
  • Growth and development: benefit from a detailed on-boarding program, systematic feedback cycles and individual coaching
  • Your gear, your choice: you will be provided with a MacBook or Windows laptop and all the hardware and software you need to work
  • Become a COSie: be part of a motivated team with ambitious goals and enjoy lots of fun, lots of awesome team events and a unique COS team spirit
  • Truly diverse and inclusive: Diversity is important to you? It is important to us too! Diversity in which everyone feels comfortable, is absolutely central to us


+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-10,[] +3952733918,https://de.linkedin.com/jobs/view/data-engineer-m-f-d-at-digital-turbine-3952733918?position=41&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=pTlay14cgKOuu6nnKzdXFw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer (m/f/d),Digital Turbine,"Berlin, Berlin, Germany","At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem. + +About the Role: + + +Create highly scalable and fault tolerant technical designs working with team members (up to 5 people). +Develop and implement data pipelines that extracts, transforms and loads data into an information product that helps to inform the organization in reaching strategic goals. +Write high-quality code, conduct and participate in code reviews, and follow strong engineering principles and standards. +Research the technical feasibility of new ideas and actively suggest technology improvements. +Quickly develop a thorough understanding of the product, architecting the system and shipping production ready code. +Write maintainable code that can scale fast. +Support and contribute to our amazing work culture. + + +About You: + + +Deep experience & understanding of object-oriented design, design patterns, micro services architecture, data structure, algorithms and their complexities, and systems architecture +Skilled in writing and automating tests for your code +Proven working experience with cloud platforms. +Demonstrated experience with OLTP databases, specifically MySQL (understanding of day to day challenges related to query execution and optimization, e.g. indexing and cascading) +Working experience with big data aggregation frameworks (Spark) +Experience with streaming platforms like kafka and rabbitMQ +Experience working in an agile environment +Experience with C++ or any front-end framework is a plus +Excellent spoken and written communication skills in English + + +Big Data Skills: + + +3+ years of experience with writing code in Scala +Experience with Python, Spark, Airflow +Experience with Scala testing frameworks +Understanding of data-warehousing and data-modeling techniques +Proven experience with writing code for spark data processing +Familiarity with various OLAP data stores (Druid, Clickhouse etc) and their insights +Experience with at least one columnar OLAP databases +Familiarity with industry-standard analytics and visualization tools + + +Show more ","
+ + + + + +
+
+ At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

About the Role:

  • Create highly scalable and fault tolerant technical designs working with team members (up to 5 people).
  • Develop and implement data pipelines that extracts, transforms and loads data into an information product that helps to inform the organization in reaching strategic goals.
  • Write high-quality code, conduct and participate in code reviews, and follow strong engineering principles and standards.
  • Research the technical feasibility of new ideas and actively suggest technology improvements.
  • Quickly develop a thorough understanding of the product, architecting the system and shipping production ready code.
  • Write maintainable code that can scale fast.
  • Support and contribute to our amazing work culture.

About You:

  • Deep experience & understanding of object-oriented design, design patterns, micro services architecture, data structure, algorithms and their complexities, and systems architecture
  • Skilled in writing and automating tests for your code
  • Proven working experience with cloud platforms.
  • Demonstrated experience with OLTP databases, specifically MySQL (understanding of day to day challenges related to query execution and optimization, e.g. indexing and cascading)
  • Working experience with big data aggregation frameworks (Spark)
  • Experience with streaming platforms like kafka and rabbitMQ
  • Experience working in an agile environment
  • Experience with C++ or any front-end framework is a plus
  • Excellent spoken and written communication skills in English

Big Data Skills:

  • 3+ years of experience with writing code in Scala
  • Experience with Python, Spark, Airflow
  • Experience with Scala testing frameworks
  • Understanding of data-warehousing and data-modeling techniques
  • Proven experience with writing code for spark data processing
  • Familiarity with various OLAP data stores (Druid, Clickhouse etc) and their insights
  • Experience with at least one columnar OLAP databases
  • Familiarity with industry-standard analytics and visualization tools

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3976841375,https://de.linkedin.com/jobs/view/data-engineer-w-m-d-at-kassen%C3%A4rztliche-bundesvereinigung-3976841375?position=42&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=VgzYS%2FVa4Iq9bxNJVWF0qg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer (w/m/d),Kassenärztliche Bundesvereinigung,"Berlin, Germany","Mehr als 100.000 Praxen arbeiten mit der IT, die die Kassenärztliche Bundes­vereinigung konzipiert, entwickelt oder zertifiziert. + + + + +Für unser größtes Dezernat IT und Digitalisierung im Zentrum von Berlin suchen wir zum nächstmöglichen Zeitpunkt unbefristet als Senior-Referent/​‑in einen + + + + +DATA ENGINEER (W/M/D) + + + + +Mit Ihrer Expertise tragen Sie zu aus­fall­sicherer Software bei, die im Ernstfall Leben rettet im reibungs­losen Praxisbetrieb für mehr als 73 Millionen gesetzlich Kranken­versicherte. + + + + +IHRE AUFGABEN + +Sie modellieren und realisieren Business-Intelligence(BI)‑Lösungen auf Basis von Oracle Exadata und MicroStrategy +Sie planen und begleiten Updates, Installationen und Konfigurationen der BI‑Software +Sie treiben Controls zur Steigerung der Datenqualität/​​‑validität voran +Sie unterstützen bei der Planung und Umsetzung von Prozessoptimierungen im Bereich Datenmanagement +Sie stimmen Anforderungen im Rahmen der Daten­analyse mit den Fachabteilungen ab und beraten und begleiten sie fachlich in der Nutzung von Gesundheits­daten +Sie setzen komplexe Daten­analysen um und treiben die Entwicklung von Dash-Boards und automatisierten Rückmelde­berichten eigenverantwortlich voran +Von Ihnen konzipierte Lösungen setzen Sie bis zum Roll‑Out um + + + + +IHR PROFIL + +Sie verfügen über ein abgeschlossenes Studium (idealerweise: Wirtschafts‑​/​Medizin‑ oder (techn.) Informatik) +Gutes Verständnis von DWH‑ und BI‑Architekturen +Erfahrungen im Umgang mit BI‑ und Datenbank-Technologien sowie gute SQL‑ und Python-Kenntnisse +Kenntnisse im Bereich Reporting und Datenvisualisierung +Gute Kenntnisse im Bereich Daten­analyse, Daten­modellierung und Daten­integration +Lösungsorientierte Denkweise, Kreativität, ein hohes analytisches Verständnis sowie ausgeprägte Teamorientierung +Erfahrungen im Gesundheitswesen sind vorteilhaft +Sprachkenntnisse (CEFR-Niveau): Deutsch mindestens C1 + + + + +WIR BIETEN IHNEN + +Agile Kombination: Sie genießen die Vorteile eines sicheren Arbeits­platzes und agieren zugleich in einem innovativen IT‑Umfeld aus Systemhaus und Dienstleister +Frühaufsteher oder Langschläfer? Ihre Arbeitszeit können Sie flexibel durch mobiles Arbeiten und unser Gleitzeit­modell gestalten +Vergütung: Wir wertschätzen Ihre Arbeit mit einer attraktiven Bezahlung +Berufliche Entwicklung: Wir fördern Sie mit passenden Weiterbildungen in unserer hauseigenen Akademie oder bei externen Anbietern +Weitere Benefits: Betriebliche Alters­vorsorge, Kantine, Sportangebote, eine Kinder­tagesstätte im Haus sowie Zuschuss zum Firmenticket sind nur einige Beispiele + + + + +Die KBV gewährleistet die berufliche Gleichstellung von Frauen und Männern. Schwerbehinderte Menschen werden bei gleicher Eignung besonders berücksichtigt. Die Stelle ist für die Besetzung mit Teilzeit­kräften grundsätzlich geeignet. Gerne können Sie auch die externe Bewerbungsfrist über den angegebenen Link nutzen. + + + + +HABEN WIR IHR INTERESSE GEWECKT? + +Dann bewerben Sie sich bis zum 08.08.2024 über unser Online-Bewerbungsformular. Für Rückfragen steht Ihnen Frau Diana Kurch‑Bek gern zur Verfügung. + + + + +HIER BEWERBEN + + + + +Weitere Infos auf https://it-karriere.kbv.de/. + + + + +Wir freuen uns auf Ihre Bewerbung! + +Show more ","
+ + + + + +
+
+

Mehr als 100.000 Praxen arbeiten mit der IT, die die Kassenärztliche Bundes­vereinigung konzipiert, entwickelt oder zertifiziert.


Für unser größtes Dezernat IT und Digitalisierung im Zentrum von Berlin suchen wir zum nächstmöglichen Zeitpunkt unbefristet als Senior-Referent/​‑in einen


DATA ENGINEER (W/M/D)


Mit Ihrer Expertise tragen Sie zu aus­fall­sicherer Software bei, die im Ernstfall Leben rettet im reibungs­losen Praxisbetrieb für mehr als 73 Millionen gesetzlich Kranken­versicherte.


IHRE AUFGABEN

  • Sie modellieren und realisieren Business-Intelligence(BI)‑Lösungen auf Basis von Oracle Exadata und MicroStrategy
  • Sie planen und begleiten Updates, Installationen und Konfigurationen der BI‑Software
  • Sie treiben Controls zur Steigerung der Datenqualität/​​‑validität voran
  • Sie unterstützen bei der Planung und Umsetzung von Prozessoptimierungen im Bereich Datenmanagement
  • Sie stimmen Anforderungen im Rahmen der Daten­analyse mit den Fachabteilungen ab und beraten und begleiten sie fachlich in der Nutzung von Gesundheits­daten
  • Sie setzen komplexe Daten­analysen um und treiben die Entwicklung von Dash-Boards und automatisierten Rückmelde­berichten eigenverantwortlich voran
  • Von Ihnen konzipierte Lösungen setzen Sie bis zum Roll‑Out um


IHR PROFIL

  • Sie verfügen über ein abgeschlossenes Studium (idealerweise: Wirtschafts‑​/​Medizin‑ oder (techn.) Informatik)
  • Gutes Verständnis von DWH‑ und BI‑Architekturen
  • Erfahrungen im Umgang mit BI‑ und Datenbank-Technologien sowie gute SQL‑ und Python-Kenntnisse
  • Kenntnisse im Bereich Reporting und Datenvisualisierung
  • Gute Kenntnisse im Bereich Daten­analyse, Daten­modellierung und Daten­integration
  • Lösungsorientierte Denkweise, Kreativität, ein hohes analytisches Verständnis sowie ausgeprägte Teamorientierung
  • Erfahrungen im Gesundheitswesen sind vorteilhaft
  • Sprachkenntnisse (CEFR-Niveau): Deutsch mindestens C1


WIR BIETEN IHNEN

  • Agile Kombination: Sie genießen die Vorteile eines sicheren Arbeits­platzes und agieren zugleich in einem innovativen IT‑Umfeld aus Systemhaus und Dienstleister
  • Frühaufsteher oder Langschläfer? Ihre Arbeitszeit können Sie flexibel durch mobiles Arbeiten und unser Gleitzeit­modell gestalten
  • Vergütung: Wir wertschätzen Ihre Arbeit mit einer attraktiven Bezahlung
  • Berufliche Entwicklung: Wir fördern Sie mit passenden Weiterbildungen in unserer hauseigenen Akademie oder bei externen Anbietern
  • Weitere Benefits: Betriebliche Alters­vorsorge, Kantine, Sportangebote, eine Kinder­tagesstätte im Haus sowie Zuschuss zum Firmenticket sind nur einige Beispiele


Die KBV gewährleistet die berufliche Gleichstellung von Frauen und Männern. Schwerbehinderte Menschen werden bei gleicher Eignung besonders berücksichtigt. Die Stelle ist für die Besetzung mit Teilzeit­kräften grundsätzlich geeignet. Gerne können Sie auch die externe Bewerbungsfrist über den angegebenen Link nutzen.


HABEN WIR IHR INTERESSE GEWECKT?

Dann bewerben Sie sich bis zum 08.08.2024 über unser Online-Bewerbungsformular. Für Rückfragen steht Ihnen Frau Diana Kurch‑Bek gern zur Verfügung.


HIER BEWERBEN


Weitere Infos auf https://it-karriere.kbv.de/.


Wir freuen uns auf Ihre Bewerbung!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-15,[] +3953287108,https://de.linkedin.com/jobs/view/senior-data-analyst-customer-experience-analytics-all-genders-at-zalando-3953287108?position=43&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=TJRbCA%2Fi7T3YeCI1vHiysg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst - Customer Experience Analytics (all genders),Zalando,"Berlin, Berlin, Germany","THE ROLE & THE TEAM + + +You will join the Customer Experience Analytics team. Our main goal is to delve deep into the customer experience, revealing its hidden elements. We are part of the customer care organisation, putting us in a unique position to understand and detect customer issues better and faster than any other team. We empower various teams across the entire organisation to tackle the hidden opportunities that we discover, ensuring a continuously improving experience for our customers. In this role, you will be instrumental in enhancing the CX insight platform, a pivotal asset that will be utilised to decode and enhance the customer experience comprehensively. Your contributions will not only shape our data landscape but also directly influence our ability to understand and elevate every customer interaction. + + +INCLUSIVE BY DESIGN + + +We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well. + +We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process. + +do.BETTER - our diversity & inclusion strategy https //corporate.zalando.com/en/diversity-inclusion + +Our employee resource groups https //corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups + + +WHERE YOUR EXPERTISE IS NEEDED + + + + +Data Analysis and Insights Generation Utilize advanced analytical techniques to extract insights from large and complex datasets. Translate these insights into actionable recommendations to drive business growth and optimization. +Statistical Analysis Apply advanced statistical methods to identify trends, patterns, and relationships within data. Conduct hypothesis testing, regression analysis, and other statistical techniques to support data-driven decision-making. +Data Visualization and Reporting Develop visually compelling dashboards and reports to communicate key metrics and trends to stakeholders. Ensure that data visualisations are intuitive, informative, and tailored to the needs of different audience groups. +ETL Process Optimization Design and optimise ETL pipelines, ensuring data integrity and reliability throughout the data lifecycle. +Self-Service Analytics Enablement Develop self-service analytics tools and resources to empower stakeholders to access and analyse data independently. Provide training and support to enable users to leverage data effectively in their decision-making processes +Continuous Learning and Innovation Stay updated on emerging trends and technologies in data analytics. Proactively identify opportunities to innovate and enhance our analytical capabilities. Share knowledge and best practices with team members to foster a culture of continuous learning and improvement. + + + + +WE'D LOVE TO MEET YOU IF + + + + +You have a solid understanding of statistical principles and their application in data analysis. +You have strong expertise in SQL and Python. You have experience building and optimising data pipelines, as well as applying data modelling techniques to design datasets for Business Intelligence systems. You are familiar with Databricks Spark, AWS. +You are familiar with causal inference methods and their application in data analysis. +You are adept at tackling complex data challenges, possess strong analytical skills, and can devise efficient, scalable solutions. +You are experienced with data visualization tools. +You understand the importance of data quality and the implications that issues in data quality can trigger in other teams. At the same time, you understand the tradeoff between complexity and practicality and know when to favor one over the other in your solutions. +You excel in a collaborative environment, can articulate complex technical concepts to non-technical stakeholders, and enjoy working in cross-functional teams. + + + + +OUR OFFER + + +Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. + + + +Employee shares program +40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners +2 paid volunteering days a year +Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration +Work from abroad for up to 30 working days a year +27 days of vacation a year to start +Relocation assistance available (subject to prior agreement) +Family services, including counselling and support +Health and wellbeing options (including Gympass) +Mental health support and coaching available +Drive your development through our training platform and biannual peer-to-peer review. + +Show more ","
+ + + + + +
+
+ THE ROLE & THE TEAM


You will join the Customer Experience Analytics team. Our main goal is to delve deep into the customer experience, revealing its hidden elements. We are part of the customer care organisation, putting us in a unique position to understand and detect customer issues better and faster than any other team. We empower various teams across the entire organisation to tackle the hidden opportunities that we discover, ensuring a continuously improving experience for our customers. In this role, you will be instrumental in enhancing the CX insight platform, a pivotal asset that will be utilised to decode and enhance the customer experience comprehensively. Your contributions will not only shape our data landscape but also directly influence our ability to understand and elevate every customer interaction.


INCLUSIVE BY DESIGN


We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy https //corporate.zalando.com/en/diversity-inclusion

Our employee resource groups https //corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups


WHERE YOUR EXPERTISE IS NEEDED



  • Data Analysis and Insights Generation Utilize advanced analytical techniques to extract insights from large and complex datasets. Translate these insights into actionable recommendations to drive business growth and optimization.
  • Statistical Analysis Apply advanced statistical methods to identify trends, patterns, and relationships within data. Conduct hypothesis testing, regression analysis, and other statistical techniques to support data-driven decision-making.
  • Data Visualization and Reporting Develop visually compelling dashboards and reports to communicate key metrics and trends to stakeholders. Ensure that data visualisations are intuitive, informative, and tailored to the needs of different audience groups.
  • ETL Process Optimization Design and optimise ETL pipelines, ensuring data integrity and reliability throughout the data lifecycle.
  • Self-Service Analytics Enablement Develop self-service analytics tools and resources to empower stakeholders to access and analyse data independently. Provide training and support to enable users to leverage data effectively in their decision-making processes
  • Continuous Learning and Innovation Stay updated on emerging trends and technologies in data analytics. Proactively identify opportunities to innovate and enhance our analytical capabilities. Share knowledge and best practices with team members to foster a culture of continuous learning and improvement.



WE'D LOVE TO MEET YOU IF



  • You have a solid understanding of statistical principles and their application in data analysis.
  • You have strong expertise in SQL and Python. You have experience building and optimising data pipelines, as well as applying data modelling techniques to design datasets for Business Intelligence systems. You are familiar with Databricks Spark, AWS.
  • You are familiar with causal inference methods and their application in data analysis.
  • You are adept at tackling complex data challenges, possess strong analytical skills, and can devise efficient, scalable solutions.
  • You are experienced with data visualization tools.
  • You understand the importance of data quality and the implications that issues in data quality can trigger in other teams. At the same time, you understand the tradeoff between complexity and practicality and know when to favor one over the other in your solutions.
  • You excel in a collaborative environment, can articulate complex technical concepts to non-technical stakeholders, and enjoy working in cross-functional teams.



OUR OFFER


Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.


  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counselling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Drive your development through our training platform and biannual peer-to-peer review.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3983229823,https://de.linkedin.com/jobs/view/senior-data-engineer-python-at-dlthub-3983229823?position=44&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=YRwVKAz3aNdHZ8%2BqCCqJ%2Bg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Engineer (Python),dltHub,"Berlin, Berlin, Germany","Who We Are + +We are looking for a Software or Data Engineer that is experienced in high performance Python data processing libraries (often referred to as the Composable Data Stack). You will collaborate directly with our CTO and be part of the core product team. + +dlt is an open-source library that automatically creates datasets from messy, unstructured data sources. You can use the library to move data from about anywhere into the most well-known SQL and vector stores, data lakes, storage buckets, or local engines such as DuckDB, Arrow or delta-rs. The library automates many cumbersome data engineering tasks and can be handled by anyone who knows Python. You can see more details in this Hacker News article. + +dltHub is based in Berlin and New York City. It was founded by data and machine learning veterans. We are backed by Foundation Capital, Dig Ventures, and many technical founders from companies such as Datadog, Instana, Hugging Face, MotherDuck, Mesosphere, Matillion, Miro, and Rasa. + +Your Tasks and Responsibilities: + +dlt is a missing part between traditional Modern Data Stack and the emerging Pythonic Composable Data Stack: a gateway that creates datasets which the other components can then process. Our mission is to integrate dlt fully with this new, emerging ecosystem in a way that our users love. This means we respect their time, effort and previous investments in modern data stack when designing features. To support this mission your tasks and responsibilities include: + + +You design and implement OSS features that make dlt a gateway to composable data stack: integrating query engines, transformation frameworks, table formats with our library +You listen to our users, always paying attention to what they need to go to production with dlt +You work with our customers in commercial projects where dlt is combined with existing ""modern data stack"" infrastructure +You maintain the open source project with the team (e.g., review PRs, resolve issues, talk with community contributors, etc.) + + + +Requirements + +Who You Are + +If you are fascinated by the emerging ecosystem of data libraries in Python, which allows you to do on a single machine what until recently was possibly only in the cloud - then you'll enjoy working with us. + + +You know what duckdb, arrow, datafusion, lancedb, delta-rs, ibis, pyiceberg, sqlglot, kedro, hamilton and similar Python libraries / pip installable components do and know when to apply them +You have experience in building data apps or product based on composable data stack +... or you were contributing code to any (or similar) of projects above +You know what so called ""Modern Data Stack"" is and appreciate certain aspects of it (ie. maturity, fitting into enterprise workflows etc.) +... and in fact you are interested in combining both worlds +You really like Python and are fluent in writing Python code (e.g., Python typing, unit testing, writing docstrings, etc.) +You have a degree in computer science, data science, or other equivalent experience +You are familiar with GitHub workflows (e.g., pull requests, code reviews, CI/CD services, etc.) + + +Nice to Have: + + +You are based in Berlin and willing to work in our office regularly +You have a hacker nature and you love to make things optimized +Experience with DevOps (e.g., CI systems like GitHub Actions, Docker, Kubernetes, AWS/GCP/Digital Ocean, etc.) +Experience with machine learning (e.g., the toolset, the workflows, practical applications, etc.) + + + +Benefits + +What do we offer + +In our work culture, we value each other's autonomy and efficiency. We have set hours for communication and deep work. We like automation, so we automate our work before we automate the work of others. + + +We are an office-first company but give you plenty of opportunities for deep work and work from home. Dedicated ""no meeting days"" to help the team focus on their most impactful work +As we work often from the Berlin office, we cover your public transportation ticket +We are deeply committed to your personal and professional growth, so we have an annual budget for learning and development +We offer regular subsidized team lunches and Urban Sports Club membership +We also have an ESOP plan for employees, depending on their role and dedication. We provide an option to increase your ESOP if you grow with us. +Show more ","
+ + + + + +
+
+ Who We Are

We are looking for a Software or Data Engineer that is experienced in high performance Python data processing libraries (often referred to as the Composable Data Stack). You will collaborate directly with our CTO and be part of the core product team.

dlt is an open-source library that automatically creates datasets from messy, unstructured data sources. You can use the library to move data from about anywhere into the most well-known SQL and vector stores, data lakes, storage buckets, or local engines such as DuckDB, Arrow or delta-rs. The library automates many cumbersome data engineering tasks and can be handled by anyone who knows Python. You can see more details in this Hacker News article.

dltHub is based in Berlin and New York City. It was founded by data and machine learning veterans. We are backed by Foundation Capital, Dig Ventures, and many technical founders from companies such as Datadog, Instana, Hugging Face, MotherDuck, Mesosphere, Matillion, Miro, and Rasa.

Your Tasks and Responsibilities:

dlt is a missing part between traditional Modern Data Stack and the emerging Pythonic Composable Data Stack: a gateway that creates datasets which the other components can then process. Our mission is to integrate dlt fully with this new, emerging ecosystem in a way that our users love. This means we respect their time, effort and previous investments in modern data stack when designing features. To support this mission your tasks and responsibilities include:

  • You design and implement OSS features that make dlt a gateway to composable data stack: integrating query engines, transformation frameworks, table formats with our library
  • You listen to our users, always paying attention to what they need to go to production with dlt
  • You work with our customers in commercial projects where dlt is combined with existing ""modern data stack"" infrastructure
  • You maintain the open source project with the team (e.g., review PRs, resolve issues, talk with community contributors, etc.)


Requirements

Who You Are

If you are fascinated by the emerging ecosystem of data libraries in Python, which allows you to do on a single machine what until recently was possibly only in the cloud - then you'll enjoy working with us.

  • You know what duckdb, arrow, datafusion, lancedb, delta-rs, ibis, pyiceberg, sqlglot, kedro, hamilton and similar Python libraries / pip installable components do and know when to apply them
  • You have experience in building data apps or product based on composable data stack
  • ... or you were contributing code to any (or similar) of projects above
  • You know what so called ""Modern Data Stack"" is and appreciate certain aspects of it (ie. maturity, fitting into enterprise workflows etc.)
  • ... and in fact you are interested in combining both worlds
  • You really like Python and are fluent in writing Python code (e.g., Python typing, unit testing, writing docstrings, etc.)
  • You have a degree in computer science, data science, or other equivalent experience
  • You are familiar with GitHub workflows (e.g., pull requests, code reviews, CI/CD services, etc.)

Nice to Have:

  • You are based in Berlin and willing to work in our office regularly
  • You have a hacker nature and you love to make things optimized
  • Experience with DevOps (e.g., CI systems like GitHub Actions, Docker, Kubernetes, AWS/GCP/Digital Ocean, etc.)
  • Experience with machine learning (e.g., the toolset, the workflows, practical applications, etc.)


Benefits

What do we offer

In our work culture, we value each other's autonomy and efficiency. We have set hours for communication and deep work. We like automation, so we automate our work before we automate the work of others.

  • We are an office-first company but give you plenty of opportunities for deep work and work from home. Dedicated ""no meeting days"" to help the team focus on their most impactful work
  • As we work often from the Berlin office, we cover your public transportation ticket
  • We are deeply committed to your personal and professional growth, so we have an annual budget for learning and development
  • We offer regular subsidized team lunches and Urban Sports Club membership
  • We also have an ESOP plan for employees, depending on their role and dedication. We provide an option to increase your ESOP if you grow with us.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3993814828,https://de.linkedin.com/jobs/view/senior-data-analyst-marketing-analytics-attribution-paid-search-at-getyourguide-3993814828?position=47&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=w8Qv1QkgNabUJhjJRHyO1Q%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Analyst, Marketing Analytics (Attribution & Paid Search)",GetYourGuide,"Berlin, Berlin, Germany","About GetYourGuide + +GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, people from all over the world have booked more than 150 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 800 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more. + +Team mission + +The Analytics team's mission is to enable the organisation to take action based on data. We work on a variety of problems and datasets as members of cross-functional mission teams. We take ownership of the entire analytics funnel from exploration through recommendations to impact measurement and take pride in the insights we generate. + +This specific position is within our Marketing Analytics and will focus mostly on helping optimize our Paid Search operations and scaling our investments towards the most incremental and loyal customers. The analyst will need to intervene in our campaign setup and bidding strategies and our attribution and experimentation solutions. + +You Will + + +Develop quantitative analysis and statistical models to evaluate and steer marketing decisions +Maintain and improve our marketing measurement tools (Attribution, experimentation framework, Customer lifetime value…) +Explore large datasets, give meaning to data and numbers, identify opportunities and issues, and present findings to stakeholders +Develop new methodologies to scale our Display and Partnerships channel, among others +Serve as a liaison between the marketing teams and the data engineering team +Mentor others in the skills needed for this role + + +Who You Are + + +5+ years of relevant experience interpreting data in an analytics, data science or business intelligence role +Strong knowledge of SQL and Python for analysis (eg, pandas, scikit-learn, pyspark) +Previous experience in marketing attribution and paid search. +Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks, Databricks) +Ability to understand user behavior and meaning behind the numbers +Prior exposure to digital and performance marketing +Desire to work in an international environment, with minimal direction and with highly engaged individuals +Excellent written and verbal communication skills in English + + +Nice to have + + +Experience with big data tools (e.g. Spark, Hive) is a plus + + +How We Set You Up For Success + + +Invest in your development with an annual personal growth budget +Create a comfortable workspace at home with an annual home office budget +Enjoy flexibility with a hybrid work-from-home and telecommuting policy +Save on transportation costs with discounted public transportation tickets +Support your loved ones with generous maternity and paternity leave policies + + +And more... + +We look forward to hearing from you + +Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via jobs@getyourguide.com. + +We are an equal opportunity employer + +Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application. +Show more ","
+ + + + + +
+
+ About GetYourGuide

GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, people from all over the world have booked more than 150 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 800 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more.

Team mission

The Analytics team's mission is to enable the organisation to take action based on data. We work on a variety of problems and datasets as members of cross-functional mission teams. We take ownership of the entire analytics funnel from exploration through recommendations to impact measurement and take pride in the insights we generate.

This specific position is within our Marketing Analytics and will focus mostly on helping optimize our Paid Search operations and scaling our investments towards the most incremental and loyal customers. The analyst will need to intervene in our campaign setup and bidding strategies and our attribution and experimentation solutions.

You Will

  • Develop quantitative analysis and statistical models to evaluate and steer marketing decisions
  • Maintain and improve our marketing measurement tools (Attribution, experimentation framework, Customer lifetime value…)
  • Explore large datasets, give meaning to data and numbers, identify opportunities and issues, and present findings to stakeholders
  • Develop new methodologies to scale our Display and Partnerships channel, among others
  • Serve as a liaison between the marketing teams and the data engineering team
  • Mentor others in the skills needed for this role

Who You Are

  • 5+ years of relevant experience interpreting data in an analytics, data science or business intelligence role
  • Strong knowledge of SQL and Python for analysis (eg, pandas, scikit-learn, pyspark)
  • Previous experience in marketing attribution and paid search.
  • Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks, Databricks)
  • Ability to understand user behavior and meaning behind the numbers
  • Prior exposure to digital and performance marketing
  • Desire to work in an international environment, with minimal direction and with highly engaged individuals
  • Excellent written and verbal communication skills in English

Nice to have

  • Experience with big data tools (e.g. Spark, Hive) is a plus

How We Set You Up For Success

  • Invest in your development with an annual personal growth budget
  • Create a comfortable workspace at home with an annual home office budget
  • Enjoy flexibility with a hybrid work-from-home and telecommuting policy
  • Save on transportation costs with discounted public transportation tickets
  • Support your loved ones with generous maternity and paternity leave policies

And more...

We look forward to hearing from you

Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via jobs@getyourguide.com.

We are an equal opportunity employer

Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3958044307,https://de.linkedin.com/jobs/view/data-engineer-business-intelligence-at-getyourguide-3958044307?position=48&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=ZCBwVAPyjOasT7U4pcwZdw%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Engineer, Business Intelligence",GetYourGuide,"Berlin, Berlin, Germany","We are looking for a Data Engineer, Business Intelligence to help make the vast amount of data we produce organized and valuable so everyone in the company can make great decisions through insights. You will work on analytics tools, data quality, reporting solutions, data pipelines, data modeling and more. + +About GetYourGuide + +GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, travelers from over 170 countries have booked more than 80 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 700 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more. + +Team mission + +The Data Platform team is central to our data-driven strategy, designing and developing our data ecosystem, data process processes and analytics capabilities. We work on problems such as product events tracking, AB experiments framework and large-scale applied machine learning. The team is also responsible for making the vast amount of data accessible, reliable and efficient to query, so we are empowered to make the best data-driven decisions. We work with a wide variety of tools and technologies, from Spark to Looker, making this team a great place to learn new skills. + +You Will + + +Work closely with different teams and business partners in the organization, build and foster strong relationships +Develop new data pipelines and work with data analysts, data scientists, engineers and product managers to add new data sources or new views in our data +Implement and maintain data models using analytics tools in order to allow our business users access the data directly and drive decisions +Design and implement metrics, dashboards and reports +Ensure data quality, accuracy and reliability +Empower and train our data users to use data more efficiently, by extending our self serve data services and documentation +Serve as a liaison between the product teams, analytics team and the data engineering team + + +Who You Are + + +2-3 years of relevant experience in a business intelligence role, including data warehousing and analytics tools, techniques and technologies +Experience in Data Warehousing solutions (Snowflake, Delta, PostgreSQL, BigQuery) +Expert knowledge with SQL & OLAP +Experience with Python or Scala +Advanced knowledge of data warehousing concepts and schema optimization based on usage patterns +Knowledge and direct experience in data visualization concepts using business intelligence reporting tools (Looker, Tableau, Power BI, Jupyter notebooks) +Experience in developing cross-platform ETL processes, maintaining systems for tracking data quality and consistency and using databases in a business environment with large-scale, complex data sets +Excellent written and verbal communication skills in English + + +Nice To Have + + +Experience with big data technologies (e.g. Spark, Kafka, Hive, Hadoop) +Experience with data manipulation tools and libraries (e.g. PySpark, Pandas, R) +Prior experience in start-up environment + + +How We Set You Up For Success + + +Invest in your development with an annual personal growth budget +Create a comfortable workspace at home with an annual home office budget +Become a part of our success with virtual stock options +Enjoy flexibility with a hybrid work-from-home and telecommuting policy +Save on transportation costs with discounted public transportation tickets +Support your loved ones with generous maternity and paternity leave policies + + +And more... + +We look forward to hearing from you + +Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via jobs@getyourguide.com. + +We are an equal opportunity employer + +Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application. + + +Show more ","
+ + + + + +
+
+ We are looking for a Data Engineer, Business Intelligence to help make the vast amount of data we produce organized and valuable so everyone in the company can make great decisions through insights. You will work on analytics tools, data quality, reporting solutions, data pipelines, data modeling and more.

About GetYourGuide

GetYourGuide is the globally leading marketplace for unforgettable travel experiences. Travelers use GetYourGuide to discover the best things to do in a destination. Since its founding in 2009, travelers from over 170 countries have booked more than 80 million tours, activities, and attraction tickets through GetYourGuide. Powered by a global team of over 700 travel experts and technologists, we are headquartered in Berlin and have 17 local offices around the world. Visit our careers website to learn more.

Team mission

The Data Platform team is central to our data-driven strategy, designing and developing our data ecosystem, data process processes and analytics capabilities. We work on problems such as product events tracking, AB experiments framework and large-scale applied machine learning. The team is also responsible for making the vast amount of data accessible, reliable and efficient to query, so we are empowered to make the best data-driven decisions. We work with a wide variety of tools and technologies, from Spark to Looker, making this team a great place to learn new skills.

You Will

  • Work closely with different teams and business partners in the organization, build and foster strong relationships
  • Develop new data pipelines and work with data analysts, data scientists, engineers and product managers to add new data sources or new views in our data
  • Implement and maintain data models using analytics tools in order to allow our business users access the data directly and drive decisions
  • Design and implement metrics, dashboards and reports
  • Ensure data quality, accuracy and reliability
  • Empower and train our data users to use data more efficiently, by extending our self serve data services and documentation
  • Serve as a liaison between the product teams, analytics team and the data engineering team

Who You Are

  • 2-3 years of relevant experience in a business intelligence role, including data warehousing and analytics tools, techniques and technologies
  • Experience in Data Warehousing solutions (Snowflake, Delta, PostgreSQL, BigQuery)
  • Expert knowledge with SQL & OLAP
  • Experience with Python or Scala
  • Advanced knowledge of data warehousing concepts and schema optimization based on usage patterns
  • Knowledge and direct experience in data visualization concepts using business intelligence reporting tools (Looker, Tableau, Power BI, Jupyter notebooks)
  • Experience in developing cross-platform ETL processes, maintaining systems for tracking data quality and consistency and using databases in a business environment with large-scale, complex data sets
  • Excellent written and verbal communication skills in English

Nice To Have

  • Experience with big data technologies (e.g. Spark, Kafka, Hive, Hadoop)
  • Experience with data manipulation tools and libraries (e.g. PySpark, Pandas, R)
  • Prior experience in start-up environment

How We Set You Up For Success

  • Invest in your development with an annual personal growth budget
  • Create a comfortable workspace at home with an annual home office budget
  • Become a part of our success with virtual stock options
  • Enjoy flexibility with a hybrid work-from-home and telecommuting policy
  • Save on transportation costs with discounted public transportation tickets
  • Support your loved ones with generous maternity and paternity leave policies

And more...

We look forward to hearing from you

Unlock your full potential and join our mission to create unforgettable experiences for millions around the world. If you have the skills and passion for joining our team, we invite you to apply by submitting your CV/resume in English through the form below. Check out how we hire for tips and visibility into our process and check out life at GetYourGuide. If you have any further questions, please do not hesitate to contact us via jobs@getyourguide.com.

We are an equal opportunity employer

Our commitment is that every qualified person will be evaluated according to skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with the application.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-16,[] +3992474656,https://de.linkedin.com/jobs/view/iiot-business-data-analyst-for-factorypal-m-f-d-at-valmet-3992474656?position=50&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=1Eujya2nGRxfWjUugIyxHg%3D%3D&trk=public_jobs_jserp-result_search-card,IIoT & Business Data Analyst for FactoryPal (m/f/d),Valmet,"Berlin, Germany","You want to redefine how entire industries work by leveraging IoT, Smart Manufacturing and Industry 4.0? Would you like to be part of the success of a digital solution which will revolutionize the manufacturing process to improve shop floor performance? If your answer is a big yes, you should continue reading! + +With HQ in Berlin, FactoryPal is a corporate Start-Up – with an additional location in Porto/Portugal. The venture is poised to become the leading end-to-end IoT solution for machine efficiency and equipment effectiveness. The digitally enabled solution is not just completely reshaping how companies produce and elevate their efficiency levels, but it is fundamentally augmenting the way manufacturing employees do their job. + +We are data scientists, engineers, designers, IIoT experts, product managers, and manufacturing operations consultants. We are a team, united by our shared ambition: revolutionize manufacturing and transform the way it is done to ensure smooth operations. + +Become part of an amazing journey and successfully accompany our customers in their Digital Factory efforts! + +Your Role & Key Responsibilities as a IIoT & Business Data Analyst + +Joining our customer value analytics team as a data analyst means you'll be an essential part of further developing FactoryPal's analytics product. Together with our experienced data analysts, you'll work on the following topics: + + +Data Transformation and Analysis: + +Generate key insights into customer data by extracting, cleaning, and transforming data from our Snowflake data warehouse using dbt. +Create and maintain data pipelines to ensure accurate and timely data delivery. +Explore large datasets to identify patterns, trends, and anomalies to tell stories with data. + + + +Business Intelligence (BI) Reporting: + +Work with Tableau to create insightful reports and dashboards. +Visualize complex data in a user-friendly manner, enabling stakeholders to make informed decisions. +Collaborate with cross-functional teams to understand reporting requirements and deliver actionable insights. + + + +Stakeholder Management & Product Development + +Understand and identify the analysis and reporting needs of key customer contacts and internal stakeholders +Derive and communicate insights into customers’ machine and business data. +Contribute with your experience to our product development process and thereby enhance FactoryPal’s analytics solution. + + +Your Experience & Skills + + +Bachelor or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Industrial Engineering, STEM or related fields) +>2 years experience in data analysis, modeling and reporting in a relevant environment - ideally in the industrial / manufacturing sector +Strong analytical mindset and a passion for working with data +Proficiency in SQL and relational databases (first experience with dbt is a plus) +Solid knowledge of Python for data analytics +Experience with Business Intelligence Tools (ideally Tableau) +Familiarity with version control systems (e.g., Git) for managing code and collaboration +Ideally first experience in development of an analytics product using agile methods +Excellent communication skills and ability to collaborate effectively within our team +Willingness to take ownership of tasks and seek solutions independently +Your English is fluent + + +What You Get + + +Opportunity to work in a well-funded corporate Start-Up with a competitive advantage derived from market access. +Exposure to the hottest IT technologies, like AI/ML, Cloud and Industrial IoT +Challenging role with lots of opportunities to grow fast & steadily - as an expert and as an entrepreneur +Development opportunity in a group of professionals, who joined from top tier start-up, industry and consulting companies and an education from top tier universities +Offices in prime working locations and technology hotspots such as Berlin and Porto. +Hands-On shopfloor experience in the manufacturing environment with travel opportunities - local and global. +An agile, inspiring, multi-cultural, multi-disciplinary and innovative work environment. +A competitive salary & benefits package - incl. 30 days vacation and dedicated training budget. + + +Are you interested? + +Join our team and send us your detailed application documents via the ""Apply"" button. + +Die personenbezogenen Daten, die Sie uns im Rahmen dieses Bewerbungsprozesses innerhalb unserer Bewerberplattform (Workday) zur Verfügung stellen, werden von dem Verantwortlichen, Valmet GmbH Marienburgstr. 35 64297 Darmstadt, zum Zwecke des Auswahlverfahrens für die angegebene Stellenanzeige verarbeitet. Rechtsgrundlage ist hier Art. 6 Abs. 1 lit. b DSGVO (Durchführung vorvertraglicher Maßnahmen). Die Daten werden nach Abschluss des Verfahrens, spätestens nach 6 Monaten, gelöscht. Sie haben das Recht auf Auskunft, Löschung, Sperrung, Datenübertragbarkeit und zur Beschwerde bei der zuständigen Aufsichtsbehörde. +Show more ","
+ + + + + +
+
+ You want to redefine how entire industries work by leveraging IoT, Smart Manufacturing and Industry 4.0? Would you like to be part of the success of a digital solution which will revolutionize the manufacturing process to improve shop floor performance? If your answer is a big yes, you should continue reading!

With HQ in Berlin, FactoryPal is a corporate Start-Up – with an additional location in Porto/Portugal. The venture is poised to become the leading end-to-end IoT solution for machine efficiency and equipment effectiveness. The digitally enabled solution is not just completely reshaping how companies produce and elevate their efficiency levels, but it is fundamentally augmenting the way manufacturing employees do their job.

We are data scientists, engineers, designers, IIoT experts, product managers, and manufacturing operations consultants. We are a team, united by our shared ambition: revolutionize manufacturing and transform the way it is done to ensure smooth operations.

Become part of an amazing journey and successfully accompany our customers in their Digital Factory efforts!

Your Role & Key Responsibilities as a IIoT & Business Data Analyst

Joining our customer value analytics team as a data analyst means you'll be an essential part of further developing FactoryPal's analytics product. Together with our experienced data analysts, you'll work on the following topics:

  • Data Transformation and Analysis:
    • Generate key insights into customer data by extracting, cleaning, and transforming data from our Snowflake data warehouse using dbt.
    • Create and maintain data pipelines to ensure accurate and timely data delivery.
    • Explore large datasets to identify patterns, trends, and anomalies to tell stories with data.


  • Business Intelligence (BI) Reporting:
    • Work with Tableau to create insightful reports and dashboards.
    • Visualize complex data in a user-friendly manner, enabling stakeholders to make informed decisions.
    • Collaborate with cross-functional teams to understand reporting requirements and deliver actionable insights.


  • Stakeholder Management & Product Development
    • Understand and identify the analysis and reporting needs of key customer contacts and internal stakeholders
    • Derive and communicate insights into customers’ machine and business data.
    • Contribute with your experience to our product development process and thereby enhance FactoryPal’s analytics solution.

Your Experience & Skills

  • Bachelor or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Industrial Engineering, STEM or related fields)
  • >2 years experience in data analysis, modeling and reporting in a relevant environment - ideally in the industrial / manufacturing sector
  • Strong analytical mindset and a passion for working with data
  • Proficiency in SQL and relational databases (first experience with dbt is a plus)
  • Solid knowledge of Python for data analytics
  • Experience with Business Intelligence Tools (ideally Tableau)
  • Familiarity with version control systems (e.g., Git) for managing code and collaboration
  • Ideally first experience in development of an analytics product using agile methods
  • Excellent communication skills and ability to collaborate effectively within our team
  • Willingness to take ownership of tasks and seek solutions independently
  • Your English is fluent

What You Get

  • Opportunity to work in a well-funded corporate Start-Up with a competitive advantage derived from market access.
  • Exposure to the hottest IT technologies, like AI/ML, Cloud and Industrial IoT
  • Challenging role with lots of opportunities to grow fast & steadily - as an expert and as an entrepreneur
  • Development opportunity in a group of professionals, who joined from top tier start-up, industry and consulting companies and an education from top tier universities
  • Offices in prime working locations and technology hotspots such as Berlin and Porto.
  • Hands-On shopfloor experience in the manufacturing environment with travel opportunities - local and global.
  • An agile, inspiring, multi-cultural, multi-disciplinary and innovative work environment.
  • A competitive salary & benefits package - incl. 30 days vacation and dedicated training budget.

Are you interested?

Join our team and send us your detailed application documents via the ""Apply"" button.

Die personenbezogenen Daten, die Sie uns im Rahmen dieses Bewerbungsprozesses innerhalb unserer Bewerberplattform (Workday) zur Verfügung stellen, werden von dem Verantwortlichen, Valmet GmbH Marienburgstr. 35 64297 Darmstadt, zum Zwecke des Auswahlverfahrens für die angegebene Stellenanzeige verarbeitet. Rechtsgrundlage ist hier Art. 6 Abs. 1 lit. b DSGVO (Durchführung vorvertraglicher Maßnahmen). Die Daten werden nach Abschluss des Verfahrens, spätestens nach 6 Monaten, gelöscht. Sie haben das Recht auf Auskunft, Löschung, Sperrung, Datenübertragbarkeit und zur Beschwerde bei der zuständigen Aufsichtsbehörde. +
+ + + + + + + + + + + + + + + + + + +
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",2024-08-05,[] +3981322273,https://de.linkedin.com/jobs/view/customer-data-analyst-m-w-d-crm-at-verti-versicherung-ag-3981322273?position=51&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=Sw%2FCTHla2JpvJW32d7twMw%3D%3D&trk=public_jobs_jserp-result_search-card,Customer Data Analyst (m/w/d) CRM,Verti Versicherung AG,"Berlin, Berlin, Germany","Die Verti Versicherung AG ist Deutschlands zweitgrößter Kfz-Direktversicherer. Das 1996 gegründete Unternehmen zählt mehr als eine Million Bestandspolicen. Verti beschäftigt etwa 500 Mitarbeiterinnen und Mitarbeiter am Hauptfirmensitz in Teltow bei Berlin sowie am 2018 neu gegründeten Standort in Vaterstetten bei München. Verti ist seit 2015 Teil der MAPFRE Gruppe und firmierte bis 2017 als Direct Line. Ausgehend vom Prämienvolumen ist MAPFRE unter den Top 15 der größten Versicherungsgruppen in Europa. Verti ist die weltweite Digitalmarke von MAPFRE. Seit 2018 ist Verti Namensgeber einer der modernsten Veranstaltungsstätten Europas: der Verti Music Hall in Berlin. + +Um unseren Kunden passgenaue Produkte und einen bestmöglichen Service anbieten zu können, ist die Analyse und Interpretation von Daten essentiell. Als Customer Data Analyst (m/w/d) im Bereich Clients bei Verti liegt Dein Fokus auf der Datenaufbereitung und -analyse unserer Bestandskundendaten. Ziel ist es, unsere Kunden noch zielgruppengerechter anzusprechen und dadurch stärker an uns zu binden. Die Interaktion und der lösungsorientierte Austausch im eigenen Team aber vor allem auch mit anderen datengetriebenen Unternehmensbereichen ist uns dabei besonders wichtig. Nutze die Möglichkeit, Deine Expertise erfolgreich einzubringen und Analysen zu erarbeiten, die Grundlage für richtungsweisende Entscheidungen bei Verti sein können. Werde Teil unseres dynamischen und multikulturellen Clients Bereichs. + +Verti ist auf Wachstumskurs und sucht Dich zur Verstärkung als Customer Data Analyst (m/w/d) in Teltow bei Berlin. + +Die Position ist in Vollzeit zu besetzen. + +Aufgaben + + +Extrahierung von Bestandskunden-Daten, Durchführung von komplexen Datenanalysen und Erarbeitung von Prognosemodellen zur Lösung datengetriebener Fragestellungen und zur Generierung von Customer Insights entlang der gesamten Customer Journey +Definition von Zielstellungen für die bestandserhalt- oder kundenwertfördernden Aktionen gemeinsam mit dem CRM-Team +Evaluierung der Erreichung der genannten Ziele im Erfolgsmonitoring +Aufbereitung von aussagekräftigen Dashboards zur kontinuierlichen Erfolgskontrolle und Überwachung der Entwicklung der relevanten Customer KPIs +Ableitung von Handlungsempfehlungen zur Förderung des Bestandserhalts oder der Kundenwerterhöhung und Kommunikation dieser im eigenen Team sowie an das Management +Schnittstelle zu anderen datenverarbeitenden Bereichen im Unternehmen wie dem Data Warehouse, Versicherungsmathematik oder Data & Analytics + + +Profil + + +Erfolgreich abgeschlossenes Studium mit relevantem Schwerpunkt (Betriebswirtschaft, Informatik, Statistik, Mathematik etc.) oder eine abgeschlossene Berufsausbildung mit entsprechender Weiterbildung +Relevante Berufserfahrung im Bereich Data/ Customer Analytics +Idealerweise erste Berufserfahrung im versicherungsmathematischen Bereich, Erfahrungen im Umfeld der Kfz- und Sachversicherung +Erfahrung im Umgang mit SQL-basierten Anwendungen und Statistiitkprogrammen, Sicherer Umgang mit den gängigen MS Office-Anwendungen +Deutschkenntnisse mind. Level C1, sehr gute Englischkenntnisse +Sehr gutes analytisches Denkvermögen, schnelle Auffassungsgabe, selbstständige, ergebnisorientierte sowie proaktive Arbeitsweise +Fähigkeit, komplexe Fragestellungen klar und verständlich zu visualisieren und zu kommunizieren +Sicheres Auftreten, Durchsetzungsfähigkeit und gute Präsentationsfähigkeiten +Arbeitserlaubnis der Europäischen Union + + +Wir bieten + +Arbeiten und Wohlfühlen: Du sollst Dich bei uns wohlfühlen und erfolgreich sein können. Dafür bieten wir Dir beste Rahmenbedingungen: + + +Einen unbefristeten Arbeitsvertrag mit einem Jahresurlaubsanspruch von 30 Tagen plus Betriebsferien am 24. und 31. Dezember +39-Stundenwoche +Vielfältige Weiterbildungsmöglichkeiten und Karrierechancen +Flexible Arbeitszeiten sowie die Möglichkeit zum mobilen Arbeiten +Diverses Kollegium in einem internationalen Konzernumfeld +Professionelles Onboarding +Moderner und ergonomisch gestalteter Arbeitsplatz +Subventionierte Kantine mit Kaffeebar +Firmeneigenes Fitnessstudio sowie diverse Sport- und Gesundheitsangebote (u.a. kostenfreier Yoga-Unterricht, Massage- und Physiotherapieangebot, Tischtennisplatte) +Attraktive Mitarbeiterrabatte +Teamevents wie z.B. Teilnahme an Laufveranstaltungen, regelmäßige Volunteering-Aktivitäten, Betriebsfeiern, etc. +Anspruch auf einen Sozialtag pro Jahr zur Ausübung des privaten, ehrenamtlichen Engagements + + +… und natürlich die vielen tollen Kolleginnen und Kollegen im #TeamVerti + +Lokal und Global: Bei uns kannst Du Dich je nach Aufgabengebiet in internationale Projekte einbringen und in internationalen Teams innerhalb des MAPFRE-Konzerns arbeiten. + +Innovation und Expertise: Ein Umfeld, in dem innovative, digitale Ideen wie in einem Start-up vorangetrieben werden - mit der Expertise aus mehr als 25 Jahren Erfahrung in der Versicherungsbranche. + +Vielfalt und Nachhaltigkeit: Als Unterzeichner der Charta der Vielfalt stehen wir für Diversität und Gerechtigkeit am Arbeitsplatz. Gender Pay Gap? Nicht bei Verti! Ebenso hat bei uns der verantwortungsvolle Umgang mit Ressourcen einen hohen Stellenwert. Aktuell fokussieren wir uns darauf bis 2024 klimaneutral zu werden. + +Important note + +Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered. + +LNKD1_DE +Show more ","
+ + + + + +
+
+ Die Verti Versicherung AG ist Deutschlands zweitgrößter Kfz-Direktversicherer. Das 1996 gegründete Unternehmen zählt mehr als eine Million Bestandspolicen. Verti beschäftigt etwa 500 Mitarbeiterinnen und Mitarbeiter am Hauptfirmensitz in Teltow bei Berlin sowie am 2018 neu gegründeten Standort in Vaterstetten bei München. Verti ist seit 2015 Teil der MAPFRE Gruppe und firmierte bis 2017 als Direct Line. Ausgehend vom Prämienvolumen ist MAPFRE unter den Top 15 der größten Versicherungsgruppen in Europa. Verti ist die weltweite Digitalmarke von MAPFRE. Seit 2018 ist Verti Namensgeber einer der modernsten Veranstaltungsstätten Europas: der Verti Music Hall in Berlin.

Um unseren Kunden passgenaue Produkte und einen bestmöglichen Service anbieten zu können, ist die Analyse und Interpretation von Daten essentiell. Als Customer Data Analyst (m/w/d) im Bereich Clients bei Verti liegt Dein Fokus auf der Datenaufbereitung und -analyse unserer Bestandskundendaten. Ziel ist es, unsere Kunden noch zielgruppengerechter anzusprechen und dadurch stärker an uns zu binden. Die Interaktion und der lösungsorientierte Austausch im eigenen Team aber vor allem auch mit anderen datengetriebenen Unternehmensbereichen ist uns dabei besonders wichtig. Nutze die Möglichkeit, Deine Expertise erfolgreich einzubringen und Analysen zu erarbeiten, die Grundlage für richtungsweisende Entscheidungen bei Verti sein können. Werde Teil unseres dynamischen und multikulturellen Clients Bereichs.

Verti ist auf Wachstumskurs und sucht Dich zur Verstärkung als Customer Data Analyst (m/w/d) in Teltow bei Berlin.

Die Position ist in Vollzeit zu besetzen.

Aufgaben

  • Extrahierung von Bestandskunden-Daten, Durchführung von komplexen Datenanalysen und Erarbeitung von Prognosemodellen zur Lösung datengetriebener Fragestellungen und zur Generierung von Customer Insights entlang der gesamten Customer Journey
  • Definition von Zielstellungen für die bestandserhalt- oder kundenwertfördernden Aktionen gemeinsam mit dem CRM-Team
  • Evaluierung der Erreichung der genannten Ziele im Erfolgsmonitoring
  • Aufbereitung von aussagekräftigen Dashboards zur kontinuierlichen Erfolgskontrolle und Überwachung der Entwicklung der relevanten Customer KPIs
  • Ableitung von Handlungsempfehlungen zur Förderung des Bestandserhalts oder der Kundenwerterhöhung und Kommunikation dieser im eigenen Team sowie an das Management
  • Schnittstelle zu anderen datenverarbeitenden Bereichen im Unternehmen wie dem Data Warehouse, Versicherungsmathematik oder Data & Analytics

Profil

  • Erfolgreich abgeschlossenes Studium mit relevantem Schwerpunkt (Betriebswirtschaft, Informatik, Statistik, Mathematik etc.) oder eine abgeschlossene Berufsausbildung mit entsprechender Weiterbildung
  • Relevante Berufserfahrung im Bereich Data/ Customer Analytics
  • Idealerweise erste Berufserfahrung im versicherungsmathematischen Bereich, Erfahrungen im Umfeld der Kfz- und Sachversicherung
  • Erfahrung im Umgang mit SQL-basierten Anwendungen und Statistiitkprogrammen, Sicherer Umgang mit den gängigen MS Office-Anwendungen
  • Deutschkenntnisse mind. Level C1, sehr gute Englischkenntnisse
  • Sehr gutes analytisches Denkvermögen, schnelle Auffassungsgabe, selbstständige, ergebnisorientierte sowie proaktive Arbeitsweise
  • Fähigkeit, komplexe Fragestellungen klar und verständlich zu visualisieren und zu kommunizieren
  • Sicheres Auftreten, Durchsetzungsfähigkeit und gute Präsentationsfähigkeiten
  • Arbeitserlaubnis der Europäischen Union

Wir bieten

Arbeiten und Wohlfühlen: Du sollst Dich bei uns wohlfühlen und erfolgreich sein können. Dafür bieten wir Dir beste Rahmenbedingungen:

  • Einen unbefristeten Arbeitsvertrag mit einem Jahresurlaubsanspruch von 30 Tagen plus Betriebsferien am 24. und 31. Dezember
  • 39-Stundenwoche
  • Vielfältige Weiterbildungsmöglichkeiten und Karrierechancen
  • Flexible Arbeitszeiten sowie die Möglichkeit zum mobilen Arbeiten
  • Diverses Kollegium in einem internationalen Konzernumfeld
  • Professionelles Onboarding
  • Moderner und ergonomisch gestalteter Arbeitsplatz
  • Subventionierte Kantine mit Kaffeebar
  • Firmeneigenes Fitnessstudio sowie diverse Sport- und Gesundheitsangebote (u.a. kostenfreier Yoga-Unterricht, Massage- und Physiotherapieangebot, Tischtennisplatte)
  • Attraktive Mitarbeiterrabatte
  • Teamevents wie z.B. Teilnahme an Laufveranstaltungen, regelmäßige Volunteering-Aktivitäten, Betriebsfeiern, etc.
  • Anspruch auf einen Sozialtag pro Jahr zur Ausübung des privaten, ehrenamtlichen Engagements

… und natürlich die vielen tollen Kolleginnen und Kollegen im #TeamVerti

Lokal und Global: Bei uns kannst Du Dich je nach Aufgabengebiet in internationale Projekte einbringen und in internationalen Teams innerhalb des MAPFRE-Konzerns arbeiten.

Innovation und Expertise: Ein Umfeld, in dem innovative, digitale Ideen wie in einem Start-up vorangetrieben werden - mit der Expertise aus mehr als 25 Jahren Erfahrung in der Versicherungsbranche.

Vielfalt und Nachhaltigkeit: Als Unterzeichner der Charta der Vielfalt stehen wir für Diversität und Gerechtigkeit am Arbeitsplatz. Gender Pay Gap? Nicht bei Verti! Ebenso hat bei uns der verantwortungsvolle Umgang mit Ressourcen einen hohen Stellenwert. Aktuell fokussieren wir uns darauf bis 2024 klimaneutral zu werden.

Important note

Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.

LNKD1_DE +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3984390129,https://de.linkedin.com/jobs/view/data-scientist-data-analyst-all-genders-at-forvis-mazars-in-germany-3984390129?position=54&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=Bo%2Bq8gWCWx%2BMtncJj8tzpA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist / Data Analyst (all genders),Forvis Mazars in Germany,"Berlin, Berlin, Germany","Das erwartet Dich + + +Du begleitest unsere nationalen und internationalen Mandant*innen bei der Transformation der Steuerabteilung. An der Schnittstelle zwischen Steuerrecht und Technologie berätst du bei der Konzeption und Umsetzung von Datenstrategien. +Du wirkst maßgeblich beim Aufbau der datengetriebenen Produkte und Services wie z.B. Real-Time Reporting und Dataquality Dashboard von der Produktentwicklung bis hin zur Markteinführung mit. +Du übernimmst die Analyse und Visualisierung steuerrelevanter Daten. +Darüber hinaus bearbeitest du Mandantenausschreibungen und gestaltest mit deinem Know-how und deinen Ideen den Bereich Data & Analytics im Digital Tax Team aktiv mit. + + +Das bringst Du mit + + +Abgeschlossenes Studium der (Wirtschafts-)Informatik, des Wirtschaftsingenieurswesen oder eines thematisch verwandten Studiengangs +Erste praktische Erfahrung im Bereich Data & Analytics im Rahmen von Praktika oder Werkstudententätigkeiten +Grundlegende Kenntnisse in Python oder R sowie im Bereich Datenmodellierung, Datenarchitektur und/oder Datenvisualisierung +Erfahrung im Umgang mit Microsoft Azure (Azure Synapse, Stream Analytics etc.) und hast Freude an Technologien und Kreativität bei deren Anwendung im steuernahen Umfeld. +Sehr gute Kommunikationsfähigkeiten in Deutsch und gute Kenntnisse in Englisch + + +Darum Mazars + + +Lass dich fördern – Zahlreiche Entwicklungsprogramme und Trainingsangebote auf unserer globalen Lernplattform, darunter individuelle Lernpfade, Grundlagenschulungen, Offsites sowie Zugang zu LinkedIn Learning für deine persönliche und fachliche Entwicklung +Wir investieren in dich – Finanzielle Förderung von Berufsexamina sowie weiteren berufsrelevanten Qualifizierungen +Auf zu neuen Horizonten – Perspektivwechsel durch einen Auslandsaufenthalt oder Möglichkeit der Mitwirkung bei übergreifenden Projekten in Bereichen wie Innovation und Nachhaltigkeit +Wir bleiben in Bewegung – Ob mit dem BusinessBike ins Office oder beim After-Work-Fitness dank der Flatrate von Urban Sports Club +Dein Wellbeing ist uns wichtig – Individuelle Coachings, Teamworkshops sowie Zugang zu kostenlosen, anonymen Beratungsangeboten bei beruflichen oder privaten Herausforderungen für dich und deine Angehörigen +Deine Zeit zählt – Mobiles Arbeiten, 30 Tage Urlaub sowie bezuschusste Wertkonten für eine flexible Arbeitszeitgestaltung (z.B. Sabbatical) +Show more ","
+ + + + + +
+
+ Das erwartet Dich

  • Du begleitest unsere nationalen und internationalen Mandant*innen bei der Transformation der Steuerabteilung. An der Schnittstelle zwischen Steuerrecht und Technologie berätst du bei der Konzeption und Umsetzung von Datenstrategien.
  • Du wirkst maßgeblich beim Aufbau der datengetriebenen Produkte und Services wie z.B. Real-Time Reporting und Dataquality Dashboard von der Produktentwicklung bis hin zur Markteinführung mit.
  • Du übernimmst die Analyse und Visualisierung steuerrelevanter Daten.
  • Darüber hinaus bearbeitest du Mandantenausschreibungen und gestaltest mit deinem Know-how und deinen Ideen den Bereich Data & Analytics im Digital Tax Team aktiv mit.

Das bringst Du mit

  • Abgeschlossenes Studium der (Wirtschafts-)Informatik, des Wirtschaftsingenieurswesen oder eines thematisch verwandten Studiengangs
  • Erste praktische Erfahrung im Bereich Data & Analytics im Rahmen von Praktika oder Werkstudententätigkeiten
  • Grundlegende Kenntnisse in Python oder R sowie im Bereich Datenmodellierung, Datenarchitektur und/oder Datenvisualisierung
  • Erfahrung im Umgang mit Microsoft Azure (Azure Synapse, Stream Analytics etc.) und hast Freude an Technologien und Kreativität bei deren Anwendung im steuernahen Umfeld.
  • Sehr gute Kommunikationsfähigkeiten in Deutsch und gute Kenntnisse in Englisch

Darum Mazars

  • Lass dich fördern – Zahlreiche Entwicklungsprogramme und Trainingsangebote auf unserer globalen Lernplattform, darunter individuelle Lernpfade, Grundlagenschulungen, Offsites sowie Zugang zu LinkedIn Learning für deine persönliche und fachliche Entwicklung
  • Wir investieren in dich – Finanzielle Förderung von Berufsexamina sowie weiteren berufsrelevanten Qualifizierungen
  • Auf zu neuen Horizonten – Perspektivwechsel durch einen Auslandsaufenthalt oder Möglichkeit der Mitwirkung bei übergreifenden Projekten in Bereichen wie Innovation und Nachhaltigkeit
  • Wir bleiben in Bewegung – Ob mit dem BusinessBike ins Office oder beim After-Work-Fitness dank der Flatrate von Urban Sports Club
  • Dein Wellbeing ist uns wichtig – Individuelle Coachings, Teamworkshops sowie Zugang zu kostenlosen, anonymen Beratungsangeboten bei beruflichen oder privaten Herausforderungen für dich und deine Angehörigen
  • Deine Zeit zählt – Mobiles Arbeiten, 30 Tage Urlaub sowie bezuschusste Wertkonten für eine flexible Arbeitszeitgestaltung (z.B. Sabbatical)
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3950388517,https://de.linkedin.com/jobs/view/lead-analytics-analyst-f-m-x-data-analyst-in-afc-m-s-global-platform-at-deutsche-bank-3950388517?position=55&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=GPFVC31SJOjO95Jq%2FUsWAw%3D%3D&trk=public_jobs_jserp-result_search-card,Lead Analytics Analyst (f/m/x) - Data Analyst in AFC M&S Global Platform,Deutsche Bank,"Berlin, Berlin, Germany","Position Overview + +Die Deutsche Bank (DB) kann auf eine sehr erfahrene und engagierte Abteilung für die Bekämpfung von Finanzkriminalität (Anti Financial Crime, AFC) zurückgreifen. Diese spielt eine entscheidende Rolle dabei, der Finanzkriminalität bei Geschäftsaktivitäten und globalen Finanzdienstleistungen der DB vorzubeugen und gleichzeitig die Interessen der Bank und der Gesellschaft zu wahren. + +Um Finanzkriminalität wirksam zu bekämpfen und flexibel auf Herausforderungen zu reagieren, hat AFC eine Matrixstruktur, die regionale, geschäftsbereichsbezogene und globale Funktionen vereint. Sie teilt sich in die folgenden Kernbereiche auf: Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening und Risk Assessment. Teil unseres Engagements ist es, eine enge Zusammenarbeit mit allen Geschäftsbereichen und Unterstützungsfunktionen innerhalb unserer Bank zu stärken. + +Was AFC für Sie tun wird + +AFC hilft der Deutschen Bank, langfristig Vertrauen und Mehrwert für unsere Kunden, Mitarbeiter*innen und die Gesellschaft zu schaffen. Dabei wenden wir die höchsten Verhaltensstandards an, um den Erfolg der DB bei der Bekämpfung der Finanzkriminalität zu gewährleisten. Wir bieten Ihnen herausfordernde Möglichkeiten, zu lernen, einen Beitrag zu leisten und von Ihrer Reise mit uns zu profitieren. Wir fördern eine offene und integrative Teamkultur mit dem Ziel, eine gesunde, engagierte und gut unterstützte vielfältige Belegschaft aufzubauen und zu erhalten, die in der Lage ist, ihr Bestes zu geben. + +Teambeschreibung und Rollendetails + +Anti-Financial Crime + +Das Management von Risiken im Zusammenhang mit Finanzkriminalität und die Implementierung gültiger und wirksamer Kontrollen, Prozesse und Sicherheitsmaßnahmen haben für die Deutsche Bank höchste Priorität. AFC Monitoring & Screening Global Plattform (GP) ist verantwortlich für die Implementierung der strategischen Transaktionsüberwachungsplattform und die Weiterentwicklung der bestehenden Transaktionsüberwachungs- und Namenslisten-Screening-Systeme. Daten sind die Grundlage für umfassende Kontrollen und ein Schlüsselbereich für die Identifizierung von Risiken im Zusammenhang mit Finanzkriminalität. + +Ihre Hauptverantwortlichkeiten + +Innerhalb von AFCs GP konzentriert sich die „Intelligence Layer“ Funktion auf die Anwendung erweiterter Analyse Funktionen mit Bezug auf die verwendeten Daten. In dieser Funktion analysieren Sie Daten, und entwickeln daraus Erkenntnisse und Empfehlungen. Sie arbeiten eng mit funktionsübergreifenden Teams zusammen, um Geschäftsanforderungen mit analytischem Fachwissen zu unterstützen. Sie arbeiten mit weiteren Analysten, Dateningenieuren und Wissenschaftlern zusammen, um qualitativ hochwertige Ergebnisse durch die Anwendung fortschrittlicher Analysemethoden auf unsere Daten zu ermöglichen. + +Für diese Rolle verfügen Sie über fundierte Erfahrungen in den Bereichen: + + +Analyse und Zusammensetzung von Daten aus verschiedenen Quellen, um Trends und Muster zu identifizieren +Umsetzung von Geschäftsanforderungen und Risikodefinitionen in anwendbare Analyseaktivitäten und Entwicklung von Erkenntnissen und Empfehlungen zur Unterstützung von Anforderungen im Bereich Anti-Financial Crime +Transformation von Daten in verwendbare Formate und standardisierte Protokolle +Fähigkeit, ein ganzheitliches Verständnis der bestehenden Daten und Datenquellen der Bank aufzubauen +Entwicklung von Modellen und Datenvisualisierung +der Zusammenarbeit mit Architekten, Infrastrukturexperten und Dateningenieuren in einem internationalen Umfeld für die Datenanalyse + + + +Ihre Kompetenzen und Erfahrungen + + +Sie verfügen über ein abgeschlossenes Studium der Informatik, Mathematik, Physik oder vergleichbare Qualifikationen und Erfahrungen +Erfahrung mit Datenverarbeitungs- und Integrationspipelines in einem Big Data/ETL-Kontext unter Verwendung von GCP, Hadoop, Apache Spark, Shell-Scripting, Testframeworks oder anderen Komponenten aus dem Ökosystem +Sie haben mindestens 3 Jahre Berufserfahrung in der Entwicklung mit Python, oder ähnlichen Programmiersprachen mit Fokus auf Big Data und ein fundiertes Verständnis für Data Analytics und statistische Methoden +Erfahrungen in den Bereichen Finanzkriminalität und Banken mit deren Transaktionsprozessen +Sie sind ein Teamplayer und verfügen über eine hohe persönliche Integrität mit sehr guten Englischkenntnissen in Wort und Schrift, Deutsch wünschenswert + + + +Die Stelle wird in Voll- und in Teilzeit angeboten + +Was wir Ihnen bieten: + +Wir bieten eine breite Palette von Leistungen, die all Ihre beruflichen und persönlichen Bedürfnisse abdecken. + + +Emotional ausgeglichen Eine positive Haltung hilft uns, die Herausforderungen des Alltags zu meistern – beruflich wie privat. Profitieren Sie von Angeboten wie Beratung in schwierigen Lebenssituationen und Angeboten zur Förderung mentaler Gesundheit. +Körperlich fit Mit Angeboten zur Aufrechterhaltung Ihrer persönlichen Gesundheit und einem förderlichen beruflichen Umfeld hilft Ihnen die Bank, körperlich fit zu bleiben. Profitieren Sie von Angeboten wie umfangreichen Check-up Untersuchungen, Impfangeboten und Beratung zur gesunden Lebensführung. +Sozial vernetzt Der Austausch mit anderen eröffnet uns neue Perspektiven, bringt uns beruflich wie persönlich voran und stärkt unser Selbstvertrauen und Wohlbefinden. Profitieren Sie von Angeboten wie Unterstützung durch den pme Familienservice, das FitnessCenter Job, flexible Arbeitszeitmodelle (bspw. Teilzeit, Jobtandem, hybrides Arbeiten) sowie einer umfangreichen Kultur der Vielfalt, Chancengleichheit und Teilhabe. +Finanziell abgesichert Die Bank sichert Sie nicht nur während Ihrer aktiven Karriere, sondern auch für die Zukunft finanziell ab und unterstützt Ihre Flexibilität sowie Mobilität – egal ob privat oder beruflich. Profitieren Sie von Angeboten wie Beitragsplänen für Altersvorsorge, Bankdienstleistungen für Mitarbeiter*innen, Firmenfahrrad oder dem Deutschlandticket. + + + +Da die Benefits je nach Standort geringfügig variieren, gehen Sie bitte bei konkreten Fragen auf Ihren Recruiter zu. + +Die Stelle wird in Voll- und in Teilzeit angeboten. + +Bei Fragen zum Rekrutierungsprozess steht Nana Darko gerne zur Verfügung. + +Kontakt: Nana Darko (+49(0)175- 6705312 ) + +Deutsche Bank (DB) benefits from having a highly experienced and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping DBs business operations and global financial services clean from financial crime while serving the interests of the bank and society. + +In order to combat financial crime effectively and respond to challenges in a flexible manner, AFC has a matrix structure combining regional, business line and global functional coverage in our core areas of Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment. Part of our commitment is to strengthen a strong collaboration with all business lines and support functions within our bank. + +What AFC Will Do For You + +AFC helps Deutsche Bank generate long-term trust and add value for our clients, staff and society and provide challenging opportunities for you to learn, contribute and benefit from your journey with us. We foster an open and inclusive team culture with the aim to build and maintain a healthy, engaged and well-supported diverse workforce that is equipped to do their best and enjoy their lives inside and outside the workplace, whilst applying the highest standards of conduct to guarantee DB´s success in fighting financial crime. + +Team- And Role Description + +Anti-Financial Crime + +The management of financial crime related risks and the implementation of valid and effective controls, processes and security measures has highest priority for Deutsche Bank. AFC Monitoring & Screening Global Platform (GP) is responsible for the implementation of the strategic Transaction Monitoring platform and the further development of the existing Transaction Monitoring and Name List Screening systems. Data is the basis for comprehensive controls and a key area for the identification of financial crime related risk. + +Your Main Responsibilities + +Within AFCs GP the “Intelligence Layer” has a focus on the application of advanced analytics to the consumed data. As Data Analyst you will be analyzing data and developing insights and recommendations. You will work closely with cross-functional teams to support business requirements with analytical expertise. Collaboration with analysts, data engineers and scientists to enable quality results from the application of advanced analytics methods to our data. + +For this role you should have profound experience in the areas of: + + +collection and analysis of data from various sources to identify trends and patterns +translation of business requirements and risk definitions into actionable analytics activities and developing insights and recommendations to drive business requirements +organizing data into usable formats and standardized protocols +ability to build a broad understanding of the bank's existing data, and data sources +development of models and data visualization +cooperation with architects, infrastructure experts and data engineers on an international framework for data analysis and enrichment + + + +Your Competencies And Experience + + +You have a degree in computer science, mathematics, physics or comparable qualifications and experience +Experience with data processing and integration pipelines in a big data/ETL context, using Hadoop, Apache Spark, GCP, shell scripting, test frameworks, or other components from the ecosystem +You have at least 3 years of working experience in Python, or similar programming languages with a focus on big data and a sound understanding for data analytics and statistical methods +Experience in the areas of financial crime and banking with their transaction processes +You are a team player and have as well a high level of personal integrity with excellent oral and written English skills, German desirable + + + +This job is available in full and parttime. + +What we offer: + +We provide you with a comprehensive portfolio of benefits and offerings to support both, your private and professional needs. + + +Emotionally and mentally balanced A positive mind helps us master the challenges of everyday life – both professionally and privately. We offer consultation in difficult life situations as well as mental health awareness trainings. +Physically thriving We support you in staying physically fit through an offering to maintain personal health and a professional environment. You can benefit from health check-ups; vaccination drives as well as advice on healthy living and nutrition. +Socially connected Networking opens up new perspectives, helps us thrive professionally and personally as well as strengthens our self-confidence and well-being. You can benefit from PME family service, FitnessCenter Job, flexible working (e.g parttime, hybrid working, job tandem) as well as an extensive culture of diversity, equity and inclusion. +Financially secure We provide you with financial security not only during your active career but also for the future. You can benefit from offerings such as pension plans, banking services, company bicycle or “Deutschlandticket”. + + + +Since our offerings slightly vary across locations, please contact your recruiter with specific questions. + +In case of any recruitment related questions, please get in touch with Nana Darko. + +Contact: Nana Darko (+49(0)175- 6705312 ) + +Unsere Werte bestimmen das Arbeitsumfeld, welches wir schaffen möchten – vielfältig, wertschätzend und offen für verschiedene Meinungen. Nur eine Unternehmenskultur, die eine Vielzahl von Perspektiven, sowie kulturellen und gesellschaftlichen Hintergründen vereint, fördert Innovation. Wir setzen auf vielfältige Teams, in welchen die Menschen ihr volles Potential entfalten können – denn das Zusammenführen verschiedener Talente und Ideen spielt eine entscheidende Rolle für den geschäftlichen Erfolg der Deutschen Bank. + +Unsere Unternehmenskultur setzt hohe ethische Standards und fördert ein gutes Miteinander. Unabhängig von kulturellem Hintergrund, Nationalität, ethnischer Zugehörigkeit, geschlechtlicher und sexueller Identität, körperlichen Fähigkeiten, Religion und Generation freuen wir uns über Bewerbungen talentierter Menschen. + +Sprechen Sie uns an: Wir bieten flexible Arbeitszeitmodelle und weitere Zusatzleistungen, um Sie in Ihrem Berufsleben zu unterstützen. + +Besuchen Sie Inside Deutsche Bank , um mehr über die Kultur der Deutschen Bank zu erfahren, einschließlich unserer Aktivitäten zu Vielfalt, Chancengleichheit und Teilhabe, unserer Führungskultur, unseren Aktivitäten zur Zukunft der Arbeit und vieles mehr. +Show more ","
+ + + + + +
+
+ Position Overview

Die Deutsche Bank (DB) kann auf eine sehr erfahrene und engagierte Abteilung für die Bekämpfung von Finanzkriminalität (Anti Financial Crime, AFC) zurückgreifen. Diese spielt eine entscheidende Rolle dabei, der Finanzkriminalität bei Geschäftsaktivitäten und globalen Finanzdienstleistungen der DB vorzubeugen und gleichzeitig die Interessen der Bank und der Gesellschaft zu wahren.

Um Finanzkriminalität wirksam zu bekämpfen und flexibel auf Herausforderungen zu reagieren, hat AFC eine Matrixstruktur, die regionale, geschäftsbereichsbezogene und globale Funktionen vereint. Sie teilt sich in die folgenden Kernbereiche auf: Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening und Risk Assessment. Teil unseres Engagements ist es, eine enge Zusammenarbeit mit allen Geschäftsbereichen und Unterstützungsfunktionen innerhalb unserer Bank zu stärken.

Was AFC für Sie tun wird

AFC hilft der Deutschen Bank, langfristig Vertrauen und Mehrwert für unsere Kunden, Mitarbeiter*innen und die Gesellschaft zu schaffen. Dabei wenden wir die höchsten Verhaltensstandards an, um den Erfolg der DB bei der Bekämpfung der Finanzkriminalität zu gewährleisten. Wir bieten Ihnen herausfordernde Möglichkeiten, zu lernen, einen Beitrag zu leisten und von Ihrer Reise mit uns zu profitieren. Wir fördern eine offene und integrative Teamkultur mit dem Ziel, eine gesunde, engagierte und gut unterstützte vielfältige Belegschaft aufzubauen und zu erhalten, die in der Lage ist, ihr Bestes zu geben.

Teambeschreibung und Rollendetails

Anti-Financial Crime

Das Management von Risiken im Zusammenhang mit Finanzkriminalität und die Implementierung gültiger und wirksamer Kontrollen, Prozesse und Sicherheitsmaßnahmen haben für die Deutsche Bank höchste Priorität. AFC Monitoring & Screening Global Plattform (GP) ist verantwortlich für die Implementierung der strategischen Transaktionsüberwachungsplattform und die Weiterentwicklung der bestehenden Transaktionsüberwachungs- und Namenslisten-Screening-Systeme. Daten sind die Grundlage für umfassende Kontrollen und ein Schlüsselbereich für die Identifizierung von Risiken im Zusammenhang mit Finanzkriminalität.

Ihre Hauptverantwortlichkeiten

Innerhalb von AFCs GP konzentriert sich die „Intelligence Layer“ Funktion auf die Anwendung erweiterter Analyse Funktionen mit Bezug auf die verwendeten Daten. In dieser Funktion analysieren Sie Daten, und entwickeln daraus Erkenntnisse und Empfehlungen. Sie arbeiten eng mit funktionsübergreifenden Teams zusammen, um Geschäftsanforderungen mit analytischem Fachwissen zu unterstützen. Sie arbeiten mit weiteren Analysten, Dateningenieuren und Wissenschaftlern zusammen, um qualitativ hochwertige Ergebnisse durch die Anwendung fortschrittlicher Analysemethoden auf unsere Daten zu ermöglichen.

Für diese Rolle verfügen Sie über fundierte Erfahrungen in den Bereichen:

  • Analyse und Zusammensetzung von Daten aus verschiedenen Quellen, um Trends und Muster zu identifizieren
  • Umsetzung von Geschäftsanforderungen und Risikodefinitionen in anwendbare Analyseaktivitäten und Entwicklung von Erkenntnissen und Empfehlungen zur Unterstützung von Anforderungen im Bereich Anti-Financial Crime
  • Transformation von Daten in verwendbare Formate und standardisierte Protokolle
  • Fähigkeit, ein ganzheitliches Verständnis der bestehenden Daten und Datenquellen der Bank aufzubauen
  • Entwicklung von Modellen und Datenvisualisierung
  • der Zusammenarbeit mit Architekten, Infrastrukturexperten und Dateningenieuren in einem internationalen Umfeld für die Datenanalyse


Ihre Kompetenzen und Erfahrungen

  • Sie verfügen über ein abgeschlossenes Studium der Informatik, Mathematik, Physik oder vergleichbare Qualifikationen und Erfahrungen
  • Erfahrung mit Datenverarbeitungs- und Integrationspipelines in einem Big Data/ETL-Kontext unter Verwendung von GCP, Hadoop, Apache Spark, Shell-Scripting, Testframeworks oder anderen Komponenten aus dem Ökosystem
  • Sie haben mindestens 3 Jahre Berufserfahrung in der Entwicklung mit Python, oder ähnlichen Programmiersprachen mit Fokus auf Big Data und ein fundiertes Verständnis für Data Analytics und statistische Methoden
  • Erfahrungen in den Bereichen Finanzkriminalität und Banken mit deren Transaktionsprozessen
  • Sie sind ein Teamplayer und verfügen über eine hohe persönliche Integrität mit sehr guten Englischkenntnissen in Wort und Schrift, Deutsch wünschenswert


Die Stelle wird in Voll- und in Teilzeit angeboten

Was wir Ihnen bieten:

Wir bieten eine breite Palette von Leistungen, die all Ihre beruflichen und persönlichen Bedürfnisse abdecken.

  • Emotional ausgeglichen Eine positive Haltung hilft uns, die Herausforderungen des Alltags zu meistern – beruflich wie privat. Profitieren Sie von Angeboten wie Beratung in schwierigen Lebenssituationen und Angeboten zur Förderung mentaler Gesundheit.
  • Körperlich fit Mit Angeboten zur Aufrechterhaltung Ihrer persönlichen Gesundheit und einem förderlichen beruflichen Umfeld hilft Ihnen die Bank, körperlich fit zu bleiben. Profitieren Sie von Angeboten wie umfangreichen Check-up Untersuchungen, Impfangeboten und Beratung zur gesunden Lebensführung.
  • Sozial vernetzt Der Austausch mit anderen eröffnet uns neue Perspektiven, bringt uns beruflich wie persönlich voran und stärkt unser Selbstvertrauen und Wohlbefinden. Profitieren Sie von Angeboten wie Unterstützung durch den pme Familienservice, das FitnessCenter Job, flexible Arbeitszeitmodelle (bspw. Teilzeit, Jobtandem, hybrides Arbeiten) sowie einer umfangreichen Kultur der Vielfalt, Chancengleichheit und Teilhabe.
  • Finanziell abgesichert Die Bank sichert Sie nicht nur während Ihrer aktiven Karriere, sondern auch für die Zukunft finanziell ab und unterstützt Ihre Flexibilität sowie Mobilität – egal ob privat oder beruflich. Profitieren Sie von Angeboten wie Beitragsplänen für Altersvorsorge, Bankdienstleistungen für Mitarbeiter*innen, Firmenfahrrad oder dem Deutschlandticket.


Da die Benefits je nach Standort geringfügig variieren, gehen Sie bitte bei konkreten Fragen auf Ihren Recruiter zu.

Die Stelle wird in Voll- und in Teilzeit angeboten.

Bei Fragen zum Rekrutierungsprozess steht Nana Darko gerne zur Verfügung.

Kontakt: Nana Darko (+49(0)175- 6705312 )

Deutsche Bank (DB) benefits from having a highly experienced and dedicated Anti Financial Crime (AFC) function, which performs a crucial role in keeping DBs business operations and global financial services clean from financial crime while serving the interests of the bank and society.

In order to combat financial crime effectively and respond to challenges in a flexible manner, AFC has a matrix structure combining regional, business line and global functional coverage in our core areas of Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment. Part of our commitment is to strengthen a strong collaboration with all business lines and support functions within our bank.

What AFC Will Do For You

AFC helps Deutsche Bank generate long-term trust and add value for our clients, staff and society and provide challenging opportunities for you to learn, contribute and benefit from your journey with us. We foster an open and inclusive team culture with the aim to build and maintain a healthy, engaged and well-supported diverse workforce that is equipped to do their best and enjoy their lives inside and outside the workplace, whilst applying the highest standards of conduct to guarantee DB´s success in fighting financial crime.

Team- And Role Description

Anti-Financial Crime

The management of financial crime related risks and the implementation of valid and effective controls, processes and security measures has highest priority for Deutsche Bank. AFC Monitoring & Screening Global Platform (GP) is responsible for the implementation of the strategic Transaction Monitoring platform and the further development of the existing Transaction Monitoring and Name List Screening systems. Data is the basis for comprehensive controls and a key area for the identification of financial crime related risk.

Your Main Responsibilities

Within AFCs GP the “Intelligence Layer” has a focus on the application of advanced analytics to the consumed data. As Data Analyst you will be analyzing data and developing insights and recommendations. You will work closely with cross-functional teams to support business requirements with analytical expertise. Collaboration with analysts, data engineers and scientists to enable quality results from the application of advanced analytics methods to our data.

For this role you should have profound experience in the areas of:

  • collection and analysis of data from various sources to identify trends and patterns
  • translation of business requirements and risk definitions into actionable analytics activities and developing insights and recommendations to drive business requirements
  • organizing data into usable formats and standardized protocols
  • ability to build a broad understanding of the bank's existing data, and data sources
  • development of models and data visualization
  • cooperation with architects, infrastructure experts and data engineers on an international framework for data analysis and enrichment


Your Competencies And Experience

  • You have a degree in computer science, mathematics, physics or comparable qualifications and experience
  • Experience with data processing and integration pipelines in a big data/ETL context, using Hadoop, Apache Spark, GCP, shell scripting, test frameworks, or other components from the ecosystem
  • You have at least 3 years of working experience in Python, or similar programming languages with a focus on big data and a sound understanding for data analytics and statistical methods
  • Experience in the areas of financial crime and banking with their transaction processes
  • You are a team player and have as well a high level of personal integrity with excellent oral and written English skills, German desirable


This job is available in full and parttime.

What we offer:

We provide you with a comprehensive portfolio of benefits and offerings to support both, your private and professional needs.

  • Emotionally and mentally balanced A positive mind helps us master the challenges of everyday life – both professionally and privately. We offer consultation in difficult life situations as well as mental health awareness trainings.
  • Physically thriving We support you in staying physically fit through an offering to maintain personal health and a professional environment. You can benefit from health check-ups; vaccination drives as well as advice on healthy living and nutrition.
  • Socially connected Networking opens up new perspectives, helps us thrive professionally and personally as well as strengthens our self-confidence and well-being. You can benefit from PME family service, FitnessCenter Job, flexible working (e.g parttime, hybrid working, job tandem) as well as an extensive culture of diversity, equity and inclusion.
  • Financially secure We provide you with financial security not only during your active career but also for the future. You can benefit from offerings such as pension plans, banking services, company bicycle or “Deutschlandticket”.


Since our offerings slightly vary across locations, please contact your recruiter with specific questions.

In case of any recruitment related questions, please get in touch with Nana Darko.

Contact: Nana Darko (+49(0)175- 6705312 )

Unsere Werte bestimmen das Arbeitsumfeld, welches wir schaffen möchten – vielfältig, wertschätzend und offen für verschiedene Meinungen. Nur eine Unternehmenskultur, die eine Vielzahl von Perspektiven, sowie kulturellen und gesellschaftlichen Hintergründen vereint, fördert Innovation. Wir setzen auf vielfältige Teams, in welchen die Menschen ihr volles Potential entfalten können – denn das Zusammenführen verschiedener Talente und Ideen spielt eine entscheidende Rolle für den geschäftlichen Erfolg der Deutschen Bank.

Unsere Unternehmenskultur setzt hohe ethische Standards und fördert ein gutes Miteinander. Unabhängig von kulturellem Hintergrund, Nationalität, ethnischer Zugehörigkeit, geschlechtlicher und sexueller Identität, körperlichen Fähigkeiten, Religion und Generation freuen wir uns über Bewerbungen talentierter Menschen.

Sprechen Sie uns an: Wir bieten flexible Arbeitszeitmodelle und weitere Zusatzleistungen, um Sie in Ihrem Berufsleben zu unterstützen.

Besuchen Sie Inside Deutsche Bank , um mehr über die Kultur der Deutschen Bank zu erfahren, einschließlich unserer Aktivitäten zu Vielfalt, Chancengleichheit und Teilhabe, unserer Führungskultur, unseren Aktivitäten zur Zukunft der Arbeit und vieles mehr. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-28,[] +3978470770,https://de.linkedin.com/jobs/view/data-excellence-senior-associate-x-f-m-at-doctolib-3978470770?position=58&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=UxzF5Zdsuq20TYPc3X9LgA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Excellence Senior Associate (x/f/m),Doctolib,"Berlin, Berlin, Germany","What You’ll Do + +Doctolib is looking for a Data excellence senior associate to strengthen the newly created HCP (Healthcare Practitioners) Data Platform team. + +Your main missions will be to : + + +Maximize our Prospects Target addressable market to enable Sales & Marketing growth +Improve our database quality +Join forces with our product and ops teams to scale our processes + + + +As a Data excellence senior associate, you will be the main point of contact of our local sales & marketing teams based in France, Germany and Italy. + +Your responsibilities include but are not limited to: + +Be the main point of contact regarding prospect data : + + +Work with all business teams to propose the right governance & business processes to ensure our data standards (eg. Sales, Marketing, Finance, Legal, Products…) +Propose ambitious roadmaps to achieve our goals + + + +Lead complex data excellence projects: + + +Lead, scope, drive & deliver data excellence projects (data analysis, data strategy, quality, data sourcing, Sales processes & change management, etc.) +Build scalable & lasting solutions by yourself or via our internal partners (Data Analytics, Data Operations, Product teams) +Ensure our database is efficient, complete & accurate and provide market knowledge on our prospect & competitors (Salesforces, MDM) + + + +Who You Are + +If you don’t meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply! + +You could be our next team mate if you: + + +You have at least 3 to 5 years of experience as a consultant, business or data analyst with strong business & data sense. You also have a fast and successful track record in a B2B SaaS company or consulting firm; +You’re highly proficient in writing SQL queries, including complex joins, and have extensive experience working with large databases.; +You have experience in leading projects +English is mandatory, French / German / Italian are a plus. + + + +Now, it would be fantastic if you have: + + +Python knowledge & development experience +Experience with CRM (e.g. Salesforces) or MDM (Reltio) + + + +Was wir Dir bieten + + +ein Aktienoptionsprogramm für alle Doctoliber +eine betriebliche Krankenversicherung mit tollen Zusatzleistungen +Vierteljährlicher (oder monatlicher Bonus) und ein kompetitives Gehaltspaket +28 Urlaubstage + 1 Tag zusätzlich für jedes volle Beschäftigungs-Kalenderjahr (max. 30 Tage) +Das Doctolib Parent Care Programm, das extra Elternzeit (1 Monat) uvm. enthält +Solidarity Days: 2 Tage pro Jahr, um Wohltätigkeitsorganisationen im Gesundheitswesen zu unterstützen +Mentales Wohlbefinden durch Zugang zu Coaches und Psychologen in Zusammenarbeit mit externen Partnern +Ein flexibles Arbeitszeitmodell, das hybrides- und Büro-basiertes Arbeiten ermöglicht +Flexibility Days: 10 Tage im Jahr aus dem EU-Ausland oder UK arbeiten +Erstattung der ÖPNV-Kosten oder Firmenwagen (nur für den Field Sales) +Verpflegung Budget und gesunde Snacks im Büro +Ein gefördertes Sportangebot mit unserem Partner Urban Sports Club + + + +The interview process + + +HR screen interview +Hiring Manager Interview +Case study + Case Restitution +At least one reference check + + + +Job details + + +Permanent position +Full Time +Workplace : Berlin +Start date : ASAP +Remuneration : fix + bonus on objectives (according to your profile) + + + +A stock options plan for every Doctoliber + +At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it! + +The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you! + +All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here. + +If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com. +Show more ","
+ + + + + +
+
+ What You’ll Do

Doctolib is looking for a Data excellence senior associate to strengthen the newly created HCP (Healthcare Practitioners) Data Platform team.

Your main missions will be to :

  • Maximize our Prospects Target addressable market to enable Sales & Marketing growth
  • Improve our database quality
  • Join forces with our product and ops teams to scale our processes


As a Data excellence senior associate, you will be the main point of contact of our local sales & marketing teams based in France, Germany and Italy.

Your responsibilities include but are not limited to:

Be the main point of contact regarding prospect data :

  • Work with all business teams to propose the right governance & business processes to ensure our data standards (eg. Sales, Marketing, Finance, Legal, Products…)
  • Propose ambitious roadmaps to achieve our goals


Lead complex data excellence projects:

  • Lead, scope, drive & deliver data excellence projects (data analysis, data strategy, quality, data sourcing, Sales processes & change management, etc.)
  • Build scalable & lasting solutions by yourself or via our internal partners (Data Analytics, Data Operations, Product teams)
  • Ensure our database is efficient, complete & accurate and provide market knowledge on our prospect & competitors (Salesforces, MDM)


Who You Are

If you don’t meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply!

You could be our next team mate if you:

  • You have at least 3 to 5 years of experience as a consultant, business or data analyst with strong business & data sense. You also have a fast and successful track record in a B2B SaaS company or consulting firm;
  • You’re highly proficient in writing SQL queries, including complex joins, and have extensive experience working with large databases.;
  • You have experience in leading projects
  • English is mandatory, French / German / Italian are a plus.


Now, it would be fantastic if you have:

  • Python knowledge & development experience
  • Experience with CRM (e.g. Salesforces) or MDM (Reltio)


Was wir Dir bieten

  • ein Aktienoptionsprogramm für alle Doctoliber
  • eine betriebliche Krankenversicherung mit tollen Zusatzleistungen
  • Vierteljährlicher (oder monatlicher Bonus) und ein kompetitives Gehaltspaket
  • 28 Urlaubstage + 1 Tag zusätzlich für jedes volle Beschäftigungs-Kalenderjahr (max. 30 Tage)
  • Das Doctolib Parent Care Programm, das extra Elternzeit (1 Monat) uvm. enthält
  • Solidarity Days: 2 Tage pro Jahr, um Wohltätigkeitsorganisationen im Gesundheitswesen zu unterstützen
  • Mentales Wohlbefinden durch Zugang zu Coaches und Psychologen in Zusammenarbeit mit externen Partnern
  • Ein flexibles Arbeitszeitmodell, das hybrides- und Büro-basiertes Arbeiten ermöglicht
  • Flexibility Days: 10 Tage im Jahr aus dem EU-Ausland oder UK arbeiten
  • Erstattung der ÖPNV-Kosten oder Firmenwagen (nur für den Field Sales)
  • Verpflegung Budget und gesunde Snacks im Büro
  • Ein gefördertes Sportangebot mit unserem Partner Urban Sports Club


The interview process

  • HR screen interview
  • Hiring Manager Interview
  • Case study + Case Restitution
  • At least one reference check


Job details

  • Permanent position
  • Full Time
  • Workplace : Berlin
  • Start date : ASAP
  • Remuneration : fix + bonus on objectives (according to your profile)


A stock options plan for every Doctoliber

At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you!

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3978451707,https://de.linkedin.com/jobs/view/senior-bi-analyst-ed-tech-%F0%9F%8E%93-at-berg-search-3978451707?position=59&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=qZeozEDjfVUzf5STJH31rg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior BI Analyst - ED TECH 🎓,Berg Search,"Berlin, Germany","Work from anywhere (on-site, hybrid or remote) + +Locations: UK, Germany + +EUR 75 - 90k + + + + +About the company + +We're working with Europe’s largest Edtech player and with over 140,000 students. They are a pioneer in delivering high-quality education, through leveraging their technology to maximize student outcomes. + + + + +We are looking for an analytics / BI professional who are passionate about driving business impact through deep customer insights and operational excellence. + + + + +The ideal candidate thrives in fast-paced environments and has a track record of applying BI & analytics methodologies to create value for our customers. + + + + +They are hungry for going the extra mile in understanding what drives customer behavior as well as operational and process excellence while applying business judgement to decide what level of sophistication or pragmatism is needed to drive strategic decisions and operational steering. + + + + +YOUR ROLE + +Comprehensive Reporting: Take responsibility for extensive BI / Analytics reporting on enrollment, study progress, customer behavior, service, and other operational as well as system data, enabling our leadership and operational teams to take data driven decisions and steer our operations effectively. +Data Analysis: Perform both ad-hoc and strategic data analyses, deriving actionable recommendations for the operational business. +Data Visualization: Work among our After-Sales Analytics team in establishing high standards for effective data communication & visualization in PowerBI for leadership and operational teams alike. +Data Structures Development: Enhance our data structures and reporting landscape, ensuring our data preparation and analysis processes are state-of-the-art. Work closely with our Product & Tech teams at the (system) source level when needed. +Create (deep) analytical insights: Extract actionable insights from (complex) datasets and communicate findings effectively to non-technical stakeholders. +Strategic and Cross-functional Collaboration: Collaborate with leadership to define KPIs and metrics that align with business goals. Work closely with various teams to understand their analytical needs and provide data-driven solutions, ensuring insights inform strategic initiatives and operational improvements. +Mentorship, Training, and Quality Assurance: Mentor junior team members, provide training on BI tools and data analysis methodologies, and ensure data accuracy and reliability through quality control measures and thorough testing of data systems and reports. + + + + +YOUR PROFILE + +Proven track record: minimum of 4+ years experience in analytics engineering / BI / Data Analysis in a high-paced scaleup or tech environment, demonstrating strong analytical skills and ability to thrive in a dynamic setting. You have showcased high ambition in the past, whether academically, extracurricular or through your professional experience. +Analytical mindset: Highly analytical mindset with experience in analytics methodologies and techniques. You’re intrinsically driven by understanding the why behind data and KPIs and how this drives business value. +Data Stack: Extensive experience working with large datasets and proficiency in Python, Postgres (Redshift), PowerBI, and SQL, as well as data from various sources (e.g., internal systems, Salesforce, phone and ticket systems). Familiarity with data modeling techniques, ERD, enterprise data, GCP, BigQuery and designing and implementing data models (dbt), including relational SQL database technologies are a plus. +Growth Mindset: A proactive attitude towards learning new things, achieving high performance within your team, and being hands-on to drive strong results. +Education: A successful degree in (Business) Informatics, Data Science, Statistics, Engineering, Business Administration, Economics, or similar fields, along with very good English skills. +SaaS Product and App Analytics: Deeper knowledge in SaaS reporting and app analytics is a plus. + + + + +WE OFFER: + +Work wherever you want: Digitalization is part of our DNA. So decide for yourself which place sparks the most productivity in you. You love remote work? No problem! Would you like to work abroad for a while? Our WorkFlex Benefit makes it possible. +Flexible in terms of time: It’s your job; We trust you and give you the greatest possible freedom to organize yourself. +Take your knowledge to a new level: Where if not with us? Benefit from free further training, language courses, and discounted study programs. With us there is always something new to learn. +Rest well: We make an effort every day, but we also take the time to recharge our batteries: with 30 days of annual vacation plus an extra day of vacation on your birthday. Do you need a longer break? How about a sabbatical? +Use your own technology: You can choose your equipment freely. Because everyone has their own preferences when it comes to hardware and IDE. + + + + + + + + + + +Interview Process + +Personal fit interview with the Head of Customer Analytics +Technical Interview +Case Study + + + + +Show more ","
+ + + + + +
+
+

Work from anywhere (on-site, hybrid or remote)

Locations: UK, Germany

EUR 75 - 90k


About the company

We're working with Europe’s largest Edtech player and with over 140,000 students. They are a pioneer in delivering high-quality education, through leveraging their technology to maximize student outcomes.


We are looking for an analytics / BI professional who are passionate about driving business impact through deep customer insights and operational excellence.


The ideal candidate thrives in fast-paced environments and has a track record of applying BI & analytics methodologies to create value for our customers.


They are hungry for going the extra mile in understanding what drives customer behavior as well as operational and process excellence while applying business judgement to decide what level of sophistication or pragmatism is needed to drive strategic decisions and operational steering.


YOUR ROLE

  • Comprehensive Reporting: Take responsibility for extensive BI / Analytics reporting on enrollment, study progress, customer behavior, service, and other operational as well as system data, enabling our leadership and operational teams to take data driven decisions and steer our operations effectively.
  • Data Analysis: Perform both ad-hoc and strategic data analyses, deriving actionable recommendations for the operational business.
  • Data Visualization: Work among our After-Sales Analytics team in establishing high standards for effective data communication & visualization in PowerBI for leadership and operational teams alike.
  • Data Structures Development: Enhance our data structures and reporting landscape, ensuring our data preparation and analysis processes are state-of-the-art. Work closely with our Product & Tech teams at the (system) source level when needed.
  • Create (deep) analytical insights: Extract actionable insights from (complex) datasets and communicate findings effectively to non-technical stakeholders.
  • Strategic and Cross-functional Collaboration: Collaborate with leadership to define KPIs and metrics that align with business goals. Work closely with various teams to understand their analytical needs and provide data-driven solutions, ensuring insights inform strategic initiatives and operational improvements.
  • Mentorship, Training, and Quality Assurance: Mentor junior team members, provide training on BI tools and data analysis methodologies, and ensure data accuracy and reliability through quality control measures and thorough testing of data systems and reports.


YOUR PROFILE

  • Proven track record: minimum of 4+ years experience in analytics engineering / BI / Data Analysis in a high-paced scaleup or tech environment, demonstrating strong analytical skills and ability to thrive in a dynamic setting. You have showcased high ambition in the past, whether academically, extracurricular or through your professional experience.
  • Analytical mindset: Highly analytical mindset with experience in analytics methodologies and techniques. You’re intrinsically driven by understanding the why behind data and KPIs and how this drives business value.
  • Data Stack: Extensive experience working with large datasets and proficiency in Python, Postgres (Redshift), PowerBI, and SQL, as well as data from various sources (e.g., internal systems, Salesforce, phone and ticket systems). Familiarity with data modeling techniques, ERD, enterprise data, GCP, BigQuery and designing and implementing data models (dbt), including relational SQL database technologies are a plus.
  • Growth Mindset: A proactive attitude towards learning new things, achieving high performance within your team, and being hands-on to drive strong results.
  • Education: A successful degree in (Business) Informatics, Data Science, Statistics, Engineering, Business Administration, Economics, or similar fields, along with very good English skills.
  • SaaS Product and App Analytics: Deeper knowledge in SaaS reporting and app analytics is a plus.


WE OFFER:

  • Work wherever you want: Digitalization is part of our DNA. So decide for yourself which place sparks the most productivity in you. You love remote work? No problem! Would you like to work abroad for a while? Our WorkFlex Benefit makes it possible.
  • Flexible in terms of time: It’s your job; We trust you and give you the greatest possible freedom to organize yourself.
  • Take your knowledge to a new level: Where if not with us? Benefit from free further training, language courses, and discounted study programs. With us there is always something new to learn.
  • Rest well: We make an effort every day, but we also take the time to recharge our batteries: with 30 days of annual vacation plus an extra day of vacation on your birthday. Do you need a longer break? How about a sabbatical?
  • Use your own technology: You can choose your equipment freely. Because everyone has their own preferences when it comes to hardware and IDE.




Interview Process

  • Personal fit interview with the Head of Customer Analytics
  • Technical Interview
  • Case Study


+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3947914541,https://de.linkedin.com/jobs/view/staff-principal-data-analyst-d-f-m-at-personio-3947914541?position=60&pageNum=0&refId=r8W%2BsfuJBILZGJHynNef9g%3D%3D&trackingId=t4uXW8xG4%2BK9YfHU%2BwiqRg%3D%3D&trk=public_jobs_jserp-result_search-card,Staff/Principal Data Analyst (d/f/m),Personio,"Berlin, Berlin, Germany","The Role: How you'll make an impact at Personio + +This position can be office-based, hybrid, or fully remote from one of the following countries: Germany, Spain, Ireland, the Netherlands, or the UK. + +Drive Strategic Decisions. Shape Our Future. The Data Department is on a mission to facilitate better decisions within the company. We build core data products and enable internal teams to create and share their own. Join our team and help us build the foundation of data at Personio. + +As a Staff/Principal Data Analyst supporting the Finance, Legal, and Strategy (FLS) team at Personio, you play a pivotal role in transforming data into strategic insights, shaping our company’s financial strategy. In this role, you're not just analyzing numbers; you're driving critical business decisions and influencing long-term strategies. Your insights directly impact our financial health and strategic direction, making your contribution vital to our mission of sustainable growth and operational excellence. + +Role Responsibilities: What you'll do + + +Strategic Business Partnership: Act as a primary data strategist for the organization, partnering with top executives. Regularly consult with the CFO and other executives, providing data-driven guidance on major strategic initiatives and long-term planning. +Data Analysis: Analyze and interpret diverse datasets, focusing on financial performance, legal trends, and strategic initiatives to guide FLS in making informed, data-driven decisions. +Dashboard Development: Create and strategize the evolution of real-time, interactive dashboards for stakeholders, ensuring they are user-friendly and aligned with the evolving needs of the business. +Business Reviews and Insight Generation: Oversee the insight generation process for business reviews at a company-wide level, guiding analysts in different departments to highlight crucial insights and trends. +Strategic Planning: Collaborate with leadership and peers in developing business strategies grounded in data insights, aimed at growth, operational optimization, and cost reduction. +Stakeholder Management: Lead multiple projects simultaneously, managing expectations and collaborating with the data team for internal consistency, scalability, and reliability of data practices. +Proactive Team Embedding: Act as a strategic data partner for multiple teams, guiding them in aligning their objectives with data insights. Lead initiatives to use data in solving complex business challenges. + + +Role Requirements: What you need to succeed + + +Education & Experience: A quantitative degree (e.g., Applied Math, Econ, Stats, Eng, CS) paired with a minimum of 7 years of data analytics experience, in a SaaS, Subscription, or B2B environment with a focus on Finance, Legal, and Strategy. Experience working with executive-level stakeholders (CFO, CEO, …). +Deep understanding of SaaS-specific financial processes and financial systems like Salesforce, Chargebee, Adaptive. +KPI and Dashboard Expertise: Strong understanding of financial and strategic KPIs and proficient in creating scalable dashboards that effectively translate business requirements into impactful visuals. +Technical Proficiency: Advanced skills in SQL and BI/Visualization tools like Tableau, facilitating data extraction, manipulation, and presentation. +Statistical Knowledge: Master the use of cutting-edge statistical methods and tools, providing strategic guidance and recommendations based on sophisticated data analysis. +Analytical Mindset: Intellectual curiosity to delve deep into data, identifying underlying trends, patterns, and actionable insights. +Communication Skills: Ability to articulate complex data observations in simple terms, ensuring clarity and understanding among stakeholders. Master the art of storytelling with data, driving organizational change and strategy through powerful presentations and reports. +Entrepreneurial Approach: A proactive problem-solver, focused on generating impactful results and identifying opportunities for improvement through data-driven insights. + + +Why Personio + +Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race. + +Benefits + +Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work: + + +Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity +Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years (because we love what we do, but we also love vacation!) +Make an impact on the environment and society with 2 (fully paid) Impact Days – one for an individual project of your choice and one for a company-wide initiative +Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares +Find your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 50% remote, 50% in-office working framework +Invest in your development with an annual personal development budget to use on professional memberships, external certifications, conferences, and more +Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations +Engage in a high-impact working environment with flat hierarchies and short decision-making processes + + +About Us + +Bring your best. Make your mark. We’re using technology to revolutionize the way HR operates so that we can transform the way millions of people experience work every day. We move fast, challenge the status quo, and support our people as they shape their careers. + +With over 10,000 customers and a team of 2,000 in eight offices around the world, now is the perfect time to join! We believe in hiring driven people who want to make an impact. So bring your best, and let’s build the future of HR technology together. + +Discover our Personio Principles, that guide our mindset, behaviours, and the ways we work together: + +Exceed Customer Expectations: We anticipate, prioritize, and solve for the needs of our customers. + +Deliver Exceptional Results: We dream big and move with urgency to make great things happen. + +Elevate One Another: We work together as trusted partners to amplify our collective impact. + +Care to Challenge: We care personally and challenge directly to unlock our full potential. + +Ignite Positive Momentum: We embrace the challenge with a positive mindset and celebrate our wins together. +Show more ","
+ + + + + +
+
+ The Role: How you'll make an impact at Personio

This position can be office-based, hybrid, or fully remote from one of the following countries: Germany, Spain, Ireland, the Netherlands, or the UK.

Drive Strategic Decisions. Shape Our Future. The Data Department is on a mission to facilitate better decisions within the company. We build core data products and enable internal teams to create and share their own. Join our team and help us build the foundation of data at Personio.

As a Staff/Principal Data Analyst supporting the Finance, Legal, and Strategy (FLS) team at Personio, you play a pivotal role in transforming data into strategic insights, shaping our company’s financial strategy. In this role, you're not just analyzing numbers; you're driving critical business decisions and influencing long-term strategies. Your insights directly impact our financial health and strategic direction, making your contribution vital to our mission of sustainable growth and operational excellence.

Role Responsibilities: What you'll do

  • Strategic Business Partnership: Act as a primary data strategist for the organization, partnering with top executives. Regularly consult with the CFO and other executives, providing data-driven guidance on major strategic initiatives and long-term planning.
  • Data Analysis: Analyze and interpret diverse datasets, focusing on financial performance, legal trends, and strategic initiatives to guide FLS in making informed, data-driven decisions.
  • Dashboard Development: Create and strategize the evolution of real-time, interactive dashboards for stakeholders, ensuring they are user-friendly and aligned with the evolving needs of the business.
  • Business Reviews and Insight Generation: Oversee the insight generation process for business reviews at a company-wide level, guiding analysts in different departments to highlight crucial insights and trends.
  • Strategic Planning: Collaborate with leadership and peers in developing business strategies grounded in data insights, aimed at growth, operational optimization, and cost reduction.
  • Stakeholder Management: Lead multiple projects simultaneously, managing expectations and collaborating with the data team for internal consistency, scalability, and reliability of data practices.
  • Proactive Team Embedding: Act as a strategic data partner for multiple teams, guiding them in aligning their objectives with data insights. Lead initiatives to use data in solving complex business challenges.

Role Requirements: What you need to succeed

  • Education & Experience: A quantitative degree (e.g., Applied Math, Econ, Stats, Eng, CS) paired with a minimum of 7 years of data analytics experience, in a SaaS, Subscription, or B2B environment with a focus on Finance, Legal, and Strategy. Experience working with executive-level stakeholders (CFO, CEO, …).
  • Deep understanding of SaaS-specific financial processes and financial systems like Salesforce, Chargebee, Adaptive.
  • KPI and Dashboard Expertise: Strong understanding of financial and strategic KPIs and proficient in creating scalable dashboards that effectively translate business requirements into impactful visuals.
  • Technical Proficiency: Advanced skills in SQL and BI/Visualization tools like Tableau, facilitating data extraction, manipulation, and presentation.
  • Statistical Knowledge: Master the use of cutting-edge statistical methods and tools, providing strategic guidance and recommendations based on sophisticated data analysis.
  • Analytical Mindset: Intellectual curiosity to delve deep into data, identifying underlying trends, patterns, and actionable insights.
  • Communication Skills: Ability to articulate complex data observations in simple terms, ensuring clarity and understanding among stakeholders. Master the art of storytelling with data, driving organizational change and strategy through powerful presentations and reports.
  • Entrepreneurial Approach: A proactive problem-solver, focused on generating impactful results and identifying opportunities for improvement through data-driven insights.

Why Personio

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

Benefits

Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

  • Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
  • Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years (because we love what we do, but we also love vacation!)
  • Make an impact on the environment and society with 2 (fully paid) Impact Days – one for an individual project of your choice and one for a company-wide initiative
  • Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares
  • Find your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 50% remote, 50% in-office working framework
  • Invest in your development with an annual personal development budget to use on professional memberships, external certifications, conferences, and more
  • Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations
  • Engage in a high-impact working environment with flat hierarchies and short decision-making processes

About Us

Bring your best. Make your mark. We’re using technology to revolutionize the way HR operates so that we can transform the way millions of people experience work every day. We move fast, challenge the status quo, and support our people as they shape their careers.

With over 10,000 customers and a team of 2,000 in eight offices around the world, now is the perfect time to join! We believe in hiring driven people who want to make an impact. So bring your best, and let’s build the future of HR technology together.

Discover our Personio Principles, that guide our mindset, behaviours, and the ways we work together:

Exceed Customer Expectations: We anticipate, prioritize, and solve for the needs of our customers.

Deliver Exceptional Results: We dream big and move with urgency to make great things happen.

Elevate One Another: We work together as trusted partners to amplify our collective impact.

Care to Challenge: We care personally and challenge directly to unlock our full potential.

Ignite Positive Momentum: We embrace the challenge with a positive mindset and celebrate our wins together. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3983295081,https://de.linkedin.com/jobs/view/lead-data-analyst-f-m-d-at-bmg-the-new-music-company-3983295081?position=1&pageNum=2&refId=kyvHN6Mu0qi2btQAbYezRg%3D%3D&trackingId=HDromnmS2gh41K0maYhD%2Bg%3D%3D&trk=public_jobs_jserp-result_search-card,Lead Data Analyst (f/m/d),BMG - The New Music Company,"Berlin, Germany","Founded in 2008, BMG has become the fourth-largest music publisher worldwide. Our success and competitive edge are rooted in our founding values of fairness, transparency, and service. Our mission is clear: to empower artists and songwriters to maximize the potential of their songs and recordings in the digital era. + +BMG’s Global Data Analytics is our central data unit, spanning a close-knit international team of experienced Analytics Engineers, Data Analysts and Data Scientists across Germany, the US and the UK. We’re transforming how music works, enabling operational stakeholders to make data-driven decisions as well as driving strategic growth, based on a modern data stack. + +We are currently seeking an experienced Lead Data Analyst (f/m/d) to join our headquarters in Berlin. As a seasoned Data Analyst, you will guide junior analysts and collaborate with senior stakeholders of various departments to facilitate informed decision-making through novel data insights, compelling storytelling, and advanced data visualization. Join us in shaping the future of music analytics! + +  + +What You’ll Be Doing + + +Process big data volumes, modeling and transforming data (using dbt) from centralized DWHs (e.g. Google BigQuery) and external/organizational databases to build strategic analyses and operational KPIs +Utilize data visualization to support decision-making, crafting compelling (Looker) dashboards for key business stakeholders (e.g. Investments, Artist & Repertoire, Marketing, Streaming Sales, Rights & Royalties, Finance) +Develop scalable self-service reporting solutions and address diverse ad-hoc requests that transform our business +Collaborate closely with our global team and international colleagues to foster a data-driven culture by proposing innovative initiatives and building actionable data products +Interact with developers, data engineers, and management to propose new technologies, processes and system improvements, as well as global data governance strategies +Provide training and mentorship to junior team members, empowering them to excel in their contributions to the team’s projects +Develop sustainable processes and methodologies to support the effectiveness of our Data Analytics function + + +What You Bring + + +Degree in Computer Science, Statistics, Economics, Statistics, Mathematics, or related field +Profound experience in data analytics, ideally with large datasets +Excellent SQL skills and good knowledge of Python +Proficiency in data visualization tools, such as Looker or Tableau +Broad understanding of data analysis methods and storytelling +Results-driven and analytical character, with a strategic mindset to derive business insights +Effective communication skills - confident in presenting findings to senior management +Ability to build relationships with stakeholders to understand business needs and data consumer needs +Strong interest to mentor junior colleagues with enthusiasm and expertise +Capability to plan and implement projects independently +Comfortable working in a global, fast-paced and dynamic environment + + +It’s also a plus if you have… + + +Team leadership experience +Prior music industry experience +Experience with GCP, dbt and Git +Knowledge of Jira and Confluence +Understanding of statistical methods and ML +Experience using ETL frameworks + + +What We Offer + + +A modern office in the heart of Berlin and flexible options for remote work. +Numerous benefits such as a free BVG job ticket, a reduced-price membership for Urban Sports, company bike leasing, discounts for Bertelsmann employees, among others +Ongoing training opportunities on our internal platforms BMG Campus and Bertelsmann University +Long-term career opportunities for all employees. +A collaborative work environment with an open, appreciative community of people who all share the same passion for working with artists and songwriters. +Our unique corporate culture based on strong values and mutual support that make us a great team. + + +This is us + +As the great Kurt Cobain once said, ""Come as you are."" BMG is committed to providing equal employment opportunities for all employees. We value diversity in all forms. Equal opportunity is deeply rooted in our core value of fairness, and we are committed to creating a truly inclusive work environment where everyone can thrive. If you're good at what you do, come as you are! Whether you're an experienced professional or just starting out, we welcome you to join our team. + +All applicants to BMG are treated equally - regardless of age, disability, gender identity or expression, sexual orientation, marital status, pregnancy or parenthood, ethnic origin, color, nationality, religion or belief. + +(BMG is publishing Kurt Cobain's catalog, including the 1992 single 'Come As You Are.') + +Unternehmen: BMG RIGHTS MANAGEMENT GmbH - Corporate + +Land: Germany + +Region: Berlin + +Stadt: Berlin + +Postleitzahl: 10117 + +Job ID: 272463 + +Date: 23 Jul 2024 + +Location: + +Berlin, BE, DE, 10117 + +Job Segment: Data Analyst, Computer Science, Database, SQL, Data, Technology +Show more ","
+ + + + + +
+
+ Founded in 2008, BMG has become the fourth-largest music publisher worldwide. Our success and competitive edge are rooted in our founding values of fairness, transparency, and service. Our mission is clear: to empower artists and songwriters to maximize the potential of their songs and recordings in the digital era.

BMG’s Global Data Analytics is our central data unit, spanning a close-knit international team of experienced Analytics Engineers, Data Analysts and Data Scientists across Germany, the US and the UK. We’re transforming how music works, enabling operational stakeholders to make data-driven decisions as well as driving strategic growth, based on a modern data stack.

We are currently seeking an experienced Lead Data Analyst (f/m/d) to join our headquarters in Berlin. As a seasoned Data Analyst, you will guide junior analysts and collaborate with senior stakeholders of various departments to facilitate informed decision-making through novel data insights, compelling storytelling, and advanced data visualization. Join us in shaping the future of music analytics!



What You’ll Be Doing

  • Process big data volumes, modeling and transforming data (using dbt) from centralized DWHs (e.g. Google BigQuery) and external/organizational databases to build strategic analyses and operational KPIs
  • Utilize data visualization to support decision-making, crafting compelling (Looker) dashboards for key business stakeholders (e.g. Investments, Artist & Repertoire, Marketing, Streaming Sales, Rights & Royalties, Finance)
  • Develop scalable self-service reporting solutions and address diverse ad-hoc requests that transform our business
  • Collaborate closely with our global team and international colleagues to foster a data-driven culture by proposing innovative initiatives and building actionable data products
  • Interact with developers, data engineers, and management to propose new technologies, processes and system improvements, as well as global data governance strategies
  • Provide training and mentorship to junior team members, empowering them to excel in their contributions to the team’s projects
  • Develop sustainable processes and methodologies to support the effectiveness of our Data Analytics function

What You Bring

  • Degree in Computer Science, Statistics, Economics, Statistics, Mathematics, or related field
  • Profound experience in data analytics, ideally with large datasets
  • Excellent SQL skills and good knowledge of Python
  • Proficiency in data visualization tools, such as Looker or Tableau
  • Broad understanding of data analysis methods and storytelling
  • Results-driven and analytical character, with a strategic mindset to derive business insights
  • Effective communication skills - confident in presenting findings to senior management
  • Ability to build relationships with stakeholders to understand business needs and data consumer needs
  • Strong interest to mentor junior colleagues with enthusiasm and expertise
  • Capability to plan and implement projects independently
  • Comfortable working in a global, fast-paced and dynamic environment

It’s also a plus if you have…

  • Team leadership experience
  • Prior music industry experience
  • Experience with GCP, dbt and Git
  • Knowledge of Jira and Confluence
  • Understanding of statistical methods and ML
  • Experience using ETL frameworks

What We Offer

  • A modern office in the heart of Berlin and flexible options for remote work.
  • Numerous benefits such as a free BVG job ticket, a reduced-price membership for Urban Sports, company bike leasing, discounts for Bertelsmann employees, among others
  • Ongoing training opportunities on our internal platforms BMG Campus and Bertelsmann University
  • Long-term career opportunities for all employees.
  • A collaborative work environment with an open, appreciative community of people who all share the same passion for working with artists and songwriters.
  • Our unique corporate culture based on strong values and mutual support that make us a great team.

This is us

As the great Kurt Cobain once said, ""Come as you are."" BMG is committed to providing equal employment opportunities for all employees. We value diversity in all forms. Equal opportunity is deeply rooted in our core value of fairness, and we are committed to creating a truly inclusive work environment where everyone can thrive. If you're good at what you do, come as you are! Whether you're an experienced professional or just starting out, we welcome you to join our team.

All applicants to BMG are treated equally - regardless of age, disability, gender identity or expression, sexual orientation, marital status, pregnancy or parenthood, ethnic origin, color, nationality, religion or belief.

(BMG is publishing Kurt Cobain's catalog, including the 1992 single 'Come As You Are.')

Unternehmen: BMG RIGHTS MANAGEMENT GmbH - Corporate

Land: Germany

Region: Berlin

Stadt: Berlin

Postleitzahl: 10117

Job ID: 272463

Date: 23 Jul 2024

Location:

Berlin, BE, DE, 10117

Job Segment: Data Analyst, Computer Science, Database, SQL, Data, Technology +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3991531597,https://de.linkedin.com/jobs/view/senior-data-analyst-customer-analytics-all-genders-at-zalando-3991531597?position=2&pageNum=2&refId=kyvHN6Mu0qi2btQAbYezRg%3D%3D&trackingId=uNWlUKsVGuP4nr4lfVKfbQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst - Customer Analytics (all genders),Zalando,"Berlin, Berlin, Germany","You work for the Customer Analytics team in Zalando’s Markets organisation, which enables data driven business strategies for 20+ countries. Through our customer analytics and customer segmentations we put our customers at the centre of every marketing and retail decision. As a Data Analyst in the Customer Analytics team, you will put customer data at the core of our decisions and processes. + +WHERE YOUR EXPERTISE IS NEEDED + + + +You derive actionable customer insights and recommendations to fuel our Zalando business and the customer strategy. Your insights are derived from deep dive analysis you perform using a broad range of analytical methods and visualisations applied to data from various sources (transactional data, onsite data etc) +You proactively share your insights and recommendations in regular business reviews to senior management by providing compelling visualisations and stories. You seek opportunities to spread the insights beyond regular touchpoints with the aim of sourcing new business opportunities +You develop and optimise forecasting models for key customer metrics and provide expertise on current and expected trends for central planning efforts in close collaboration with our commercial planning teams +You drive analytical and data mindset in the team and provide senior guidance to your team members +You effectively collaborate with other analysts, data scientists, engineers to untap new sources of data and know how + + + +What We’re Looking For + + + +5+ years of experience in using data in smart and creative ways to answer business questions incl. model driven statistical analysis. Very good quantitative degree, e.g. in Economics, Social Science, Statistics, Mathematics, Computer Science or related fields. +Proficient in data transformation and statistical computing in SQL and Python as well as strong skills in data visualisation. Basic experience in Google Analytics (BigQuery), MicroStrategy/Tableau, Airflow, Spark / DataBricks, and / or Github. Knowledge of basic time series forecasting techniques (SARIMAX, Prophet, Covariates) is considered a plus +Strong communication and visualisation skills and the ability to translate complex datasets into understandable and actionable insights and present to senior management in order to impact their decisions and strategy +Being curious and proactively creating insights while demonstrating end to end ownership of analytical projects. You innovate on new methodologies and datasets but also have a good sense when an pragmatic solution is sufficient +You are a role model and proved to be a mentor for junior to mid level team members + + + +OUR OFFER + +Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. + + + +Employee shares program +40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners +2 paid volunteering days a year +Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration +Work from abroad for up to 30 working days a year +27 days of vacation a year (for Zalando SE) +Relocation assistance available (subject to prior agreement) +Family services, including counseling and support +Health and wellbeing options (including Gympass) +Mental health support and coaching available + + + +Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us +Show more ","
+ + + + + +
+
+ You work for the Customer Analytics team in Zalando’s Markets organisation, which enables data driven business strategies for 20+ countries. Through our customer analytics and customer segmentations we put our customers at the centre of every marketing and retail decision. As a Data Analyst in the Customer Analytics team, you will put customer data at the core of our decisions and processes.

WHERE YOUR EXPERTISE IS NEEDED


  • You derive actionable customer insights and recommendations to fuel our Zalando business and the customer strategy. Your insights are derived from deep dive analysis you perform using a broad range of analytical methods and visualisations applied to data from various sources (transactional data, onsite data etc)
  • You proactively share your insights and recommendations in regular business reviews to senior management by providing compelling visualisations and stories. You seek opportunities to spread the insights beyond regular touchpoints with the aim of sourcing new business opportunities
  • You develop and optimise forecasting models for key customer metrics and provide expertise on current and expected trends for central planning efforts in close collaboration with our commercial planning teams
  • You drive analytical and data mindset in the team and provide senior guidance to your team members
  • You effectively collaborate with other analysts, data scientists, engineers to untap new sources of data and know how


What We’re Looking For


  • 5+ years of experience in using data in smart and creative ways to answer business questions incl. model driven statistical analysis. Very good quantitative degree, e.g. in Economics, Social Science, Statistics, Mathematics, Computer Science or related fields.
  • Proficient in data transformation and statistical computing in SQL and Python as well as strong skills in data visualisation. Basic experience in Google Analytics (BigQuery), MicroStrategy/Tableau, Airflow, Spark / DataBricks, and / or Github. Knowledge of basic time series forecasting techniques (SARIMAX, Prophet, Covariates) is considered a plus
  • Strong communication and visualisation skills and the ability to translate complex datasets into understandable and actionable insights and present to senior management in order to impact their decisions and strategy
  • Being curious and proactively creating insights while demonstrating end to end ownership of analytical projects. You innovate on new methodologies and datasets but also have a good sense when an pragmatic solution is sufficient
  • You are a role model and proved to be a mentor for junior to mid level team members


OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.


  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year (for Zalando SE)
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available


Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3994587569,https://de.linkedin.com/jobs/view/data-analyst-0-experience-required-at-peroptyx-3994587569?position=5&pageNum=2&refId=kyvHN6Mu0qi2btQAbYezRg%3D%3D&trackingId=n%2B7BhbpOwXihvg48NMj8CA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (0 Experience Required),Peroptyx,"Berlin, Germany","For thousands of years, maps have provided humans with the knowledge they need to make decisions. As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country. + + + + +At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe. + + + + +As part of this role you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences. + + + + +With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine. + + + + +So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge a part-time/full time professional or a work from home parent, Peroptyx has the right role for you! + + + + +Ideal Candidate + +Fluent in English and German. +Excellent research skills. +Excellent local knowledge of your home country. +Good understanding and general knowledge of the geography and culture of Germany. +Analytical mindset. + + + + +Job Requirements + +Must be living in Germany for a minimum of 5 consecutive years. +Must pass an online open-book exam that can verify your full understanding of the material and concepts. +Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability. +Good working knowledge of search engines, map applications and familiarity with social media platforms. +Strong ability to learn, understand and apply multiple sets of different instructions. +All work must be of an independent nature. + + + + +Benefits + + + + +· Work up to 20 hours per week. + +· Earn a competitive rate of pay. + +· Develop your research skills. + +· Avoid the long commute. + +· Work from the comfort of your home office. + +· Enjoy the flexibility of setting your own working hours! + + + + +Apply Online Today! + +Show more ","
+ + + + + +
+
+

For thousands of years, maps have provided humans with the knowledge they need to make decisions. As a Maps Evaluator, you will have the opportunity to provide ground truth for your town, city or country.


At Peroptyx, we are looking for Data Analysts who will review mapping data for digital mapping applications. Your research capabilities will validate and ensure that the navigation of certain routes are accurate and safe.


As part of this role you will verify that business names and opening hours are correct. You will check that the distance from a starting point to an end destination is listed accurately resulting in better user experiences.


With this job you can plan your days around this highly flexible working schedule, work weekends or late evenings, all from the comfort of your own office. The flexibility of our roles minimizes the impact on your daily routine.


So, whether you are a student looking to earn as you learn, a retiree looking for a new challenge a part-time/full time professional or a work from home parent, Peroptyx has the right role for you!


Ideal Candidate

  • Fluent in English and German.
  • Excellent research skills.
  • Excellent local knowledge of your home country.
  • Good understanding and general knowledge of the geography and culture of Germany.
  • Analytical mindset.


Job Requirements

  • Must be living in Germany for a minimum of 5 consecutive years.
  • Must pass an online open-book exam that can verify your full understanding of the material and concepts.
  • Must be willing to work a minimum of 10 hours and up to 20 hours per week depending on task availability.
  • Good working knowledge of search engines, map applications and familiarity with social media platforms.
  • Strong ability to learn, understand and apply multiple sets of different instructions.
  • All work must be of an independent nature.


Benefits


· Work up to 20 hours per week.

· Earn a competitive rate of pay.

· Develop your research skills.

· Avoid the long commute.

· Work from the comfort of your home office.

· Enjoy the flexibility of setting your own working hours!


Apply Online Today!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3986172530,https://de.linkedin.com/jobs/view/remote-data-integrity-analyst-at-intoude-foundation-too-3986172530?position=6&pageNum=2&refId=kyvHN6Mu0qi2btQAbYezRg%3D%3D&trackingId=DDO6kfWP%2FBCp7KkH3FHymg%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Data Integrity Analyst,Intoude Foundation Too,"Berlin, Berlin, Germany","Job Description + +We are looking for a meticulous Remote Data Integrity Analyst to ensure the accuracy and reliability of our data entries into company databases and CRM systems. The ideal candidate will have strong analytical skills, a keen eye for detail, and a commitment to data integrity. + +Responsibilities: + + +Verify and correct data entries for accuracy and completeness. +Conduct regular data audits to ensure data integrity. +Maintain confidentiality and handle sensitive information responsibly. +Perform regular data backups and digital filing. +Assist with other administrative tasks as required. + + +Qualifications: + + +High school diploma or equivalent; additional education or certification in data management is a plus. +Proven experience as a data entry clerk or similar position. +Excellent analytical and problem-solving skills. +Proficiency in Microsoft Office Suite (Word, Excel) and Google Workspace. +Familiarity with data entry software and tools. +Strong attention to detail and organizational skills. +Ability to work independently with minimal supervision. +Reliable internet connection and a quiet workspace. + + +Benefits: + + +Competitive hourly wage. +Flexible working hours. +Opportunity to work from the comfort of your home. +Supportive and collaborative team environment. +Opportunities for career growth and advancement. +Show more ","
+ + + + + +
+
+ Job Description

We are looking for a meticulous Remote Data Integrity Analyst to ensure the accuracy and reliability of our data entries into company databases and CRM systems. The ideal candidate will have strong analytical skills, a keen eye for detail, and a commitment to data integrity.

Responsibilities:

  • Verify and correct data entries for accuracy and completeness.
  • Conduct regular data audits to ensure data integrity.
  • Maintain confidentiality and handle sensitive information responsibly.
  • Perform regular data backups and digital filing.
  • Assist with other administrative tasks as required.

Qualifications:

  • High school diploma or equivalent; additional education or certification in data management is a plus.
  • Proven experience as a data entry clerk or similar position.
  • Excellent analytical and problem-solving skills.
  • Proficiency in Microsoft Office Suite (Word, Excel) and Google Workspace.
  • Familiarity with data entry software and tools.
  • Strong attention to detail and organizational skills.
  • Ability to work independently with minimal supervision.
  • Reliable internet connection and a quiet workspace.

Benefits:

  • Competitive hourly wage.
  • Flexible working hours.
  • Opportunity to work from the comfort of your home.
  • Supportive and collaborative team environment.
  • Opportunities for career growth and advancement.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3980306836,https://de.linkedin.com/jobs/view/senior-data-analyst-m-w-d-at-oetker-digital-3980306836?position=10&pageNum=2&refId=kyvHN6Mu0qi2btQAbYezRg%3D%3D&trackingId=O25h19WqvMivgRtdwaRoDw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst (m/w/d),Oetker Digital,"Berlin, Berlin, Germany","Jobbeschreibung + +Senior Data Analyst (m/w/d) + +ÜBER UNS + +Bei Oetker Digital begleiten wir Unternehmen der Oetker-Gruppe auf ihrem Weg in die digitale Zukunft. In enger Zusammenarbeit definieren wir, was digitale Unternehmenstransformation für jedes einzelne Unternehmen bedeutet. Unser Ziel ist es, mithilfe von Daten, Technologie und Talenten messbaren Geschäftswert und Wirkung zu schaffen und so den Weg in eine digitale Zukunft zu ebnen. Wir unterstützen viele beliebte Marken wie Dr. Oetker, Radeberger und Coppenrath & Wiese. + +Mit unserem Team von rund 100 talentierten Mitarbeiter:innen und diversen Teams in unserem Berliner Hauptquartier pflegen wir eine offene und positive Lernkultur. + +DIE ROLLE + +Als Senior Data Analyst bei Oetker Digital übernimmst du eine zentrale Rolle bei datenbasierten Entscheidungen und der Strategieentwicklung. In enger Zusammenarbeit mit Teams und Geschäftspartnern unserer Gruppenunternehmen tauchst du tief in die Geschäftsbereiche und -prozesse ein. Mit deinem Know-how stellst du dabei die richtigen Fragen, analysierst Datensätze, gewinnst wertvolle Erkenntnisse und erstellst auf der Basis unserer Daten Modelle. So unterstützt du unsere Marken maßgeblich bei ihrem Wachstum und Erfolg im digitalen Zeitalter. + +DEINE AUFGABEN + + +Enge Zusammenarbeit mit den Business Stakeholder der Oetker Gruppe, um deren Strategien, Bedürfnisse und Ziele zu verstehen +Aufbau und Pflege enger Beziehungen zu wichtigen Geschäftspartnern, um sicherzustellen, dass die Datenlösungen mit den Geschäftszielen übereinstimmen +Als Berater fungieren und durch gezielte Fragen tiefe Einblicke in die Geschäftsbereiche und -prozesse gewinnen +Analysieren von Datensätzen, um verwertbare Erkenntnisse zu gewinnen und datenbasierte Entscheidungsfindung zu unterstützen +Entwicklung und Implementierung statistischer Modelle zur Lösung komplexer Geschäftsprobleme +Kommunikation von Erkenntnissen in überzeugender und verständlicher Form zur Unterstützung datenbasierter Entscheidungsfindung +Übersetzen komplexer Daten in klare, umsetzbare Erkenntnisse z.B. durch Data Storytelling + + + +Stellenanforderungen + +WAS DU MITBRINGST + + +Mindestens 5 Jahre Erfahrung in der Datenanalyse oder Beratung, vorzugsweise in einem geschäftlichen Kontext, vorzugsweise im Consulting +Bachelor- oder Master-Abschluss in einem verwandten Fachgebiet (z. B. Wirtschaft, Statistik, Mathematik, Informatik) +Kenntnisse in SQL und/oder Python zur Datenanalyse und -modellierung +Erfahrungen mit Cloud-Plattformen zur Datenspeicherung und -verarbeitung, Erfahrungen mit BigQuery sind von Vorteil +Erfahrung mit Datenvisualisierung und Software wie Power BI oder Tableau +Eine proaktive und kollaborative Denkweise zusammen mit der Fähigkeit, effektiv in funktionsübergreifenden Teams zu arbeiten +Ausgezeichnete analytische Fähigkeiten und Problemlösungskompetenz verbunden mit Erfahrungen, komplexe Ideen klar zu kommunizieren +Du lernst gerne, arbeitest praxisorientiert, übernimmst Verantwortung und willst etwas verändern +Fließende Sprachkenntnisse in Deutsch und Englisch + + + +WAS** **WIR BIETEN + + +Modernes und hundefreundliches Büro im Herzen Berlins +Hybrides Arbeitsmodell mit flexiblen Arbeitszeiten für eine gesunde Work-Life-Balance +Wir arbeiten in funktionsübergreifenden und internationalen Teams und veranstalten regelmäßig Firmen- und Teamevents +28 Tage bezahlter Urlaub, plus Weihnachten und Silvester, sowie die Möglichkeit, zusätzlichen unbezahlten Urlaub zu nehmen +10 bezahlte Krankheitstage für Kinder pro Jahr +Jährliches Lern- und Entwicklungsbudget für den Kauf von Bildungsressourcen von bis zu 1.500 € +Ausrüstung nach deiner Wahl: Macbook oder Lenovo, sowie weitere Geräte für die Einrichtung im Home-Office +Bezuschusste Mitgliedschaft im Urban Sports Club oder BVG Deutschland Ticket +Unterstützung beim mentalen Wohlbefinden, einschließlich Einzelsitzungen, durch unseren Partner Likeminded +Betriebliche Altersvorsorge und persönliche Unfallversicherung +Unternehmensrabatte bei einer Vielzahl von externen Partnern + +Show more ","
+ + + + + +
+
+ Jobbeschreibung

Senior Data Analyst (m/w/d)

ÜBER UNS

Bei Oetker Digital begleiten wir Unternehmen der Oetker-Gruppe auf ihrem Weg in die digitale Zukunft. In enger Zusammenarbeit definieren wir, was digitale Unternehmenstransformation für jedes einzelne Unternehmen bedeutet. Unser Ziel ist es, mithilfe von Daten, Technologie und Talenten messbaren Geschäftswert und Wirkung zu schaffen und so den Weg in eine digitale Zukunft zu ebnen. Wir unterstützen viele beliebte Marken wie Dr. Oetker, Radeberger und Coppenrath & Wiese.

Mit unserem Team von rund 100 talentierten Mitarbeiter:innen und diversen Teams in unserem Berliner Hauptquartier pflegen wir eine offene und positive Lernkultur.

DIE ROLLE

Als Senior Data Analyst bei Oetker Digital übernimmst du eine zentrale Rolle bei datenbasierten Entscheidungen und der Strategieentwicklung. In enger Zusammenarbeit mit Teams und Geschäftspartnern unserer Gruppenunternehmen tauchst du tief in die Geschäftsbereiche und -prozesse ein. Mit deinem Know-how stellst du dabei die richtigen Fragen, analysierst Datensätze, gewinnst wertvolle Erkenntnisse und erstellst auf der Basis unserer Daten Modelle. So unterstützt du unsere Marken maßgeblich bei ihrem Wachstum und Erfolg im digitalen Zeitalter.

DEINE AUFGABEN

  • Enge Zusammenarbeit mit den Business Stakeholder der Oetker Gruppe, um deren Strategien, Bedürfnisse und Ziele zu verstehen
  • Aufbau und Pflege enger Beziehungen zu wichtigen Geschäftspartnern, um sicherzustellen, dass die Datenlösungen mit den Geschäftszielen übereinstimmen
  • Als Berater fungieren und durch gezielte Fragen tiefe Einblicke in die Geschäftsbereiche und -prozesse gewinnen
  • Analysieren von Datensätzen, um verwertbare Erkenntnisse zu gewinnen und datenbasierte Entscheidungsfindung zu unterstützen
  • Entwicklung und Implementierung statistischer Modelle zur Lösung komplexer Geschäftsprobleme
  • Kommunikation von Erkenntnissen in überzeugender und verständlicher Form zur Unterstützung datenbasierter Entscheidungsfindung
  • Übersetzen komplexer Daten in klare, umsetzbare Erkenntnisse z.B. durch Data Storytelling


Stellenanforderungen

WAS DU MITBRINGST

  • Mindestens 5 Jahre Erfahrung in der Datenanalyse oder Beratung, vorzugsweise in einem geschäftlichen Kontext, vorzugsweise im Consulting
  • Bachelor- oder Master-Abschluss in einem verwandten Fachgebiet (z. B. Wirtschaft, Statistik, Mathematik, Informatik)
  • Kenntnisse in SQL und/oder Python zur Datenanalyse und -modellierung
  • Erfahrungen mit Cloud-Plattformen zur Datenspeicherung und -verarbeitung, Erfahrungen mit BigQuery sind von Vorteil
  • Erfahrung mit Datenvisualisierung und Software wie Power BI oder Tableau
  • Eine proaktive und kollaborative Denkweise zusammen mit der Fähigkeit, effektiv in funktionsübergreifenden Teams zu arbeiten
  • Ausgezeichnete analytische Fähigkeiten und Problemlösungskompetenz verbunden mit Erfahrungen, komplexe Ideen klar zu kommunizieren
  • Du lernst gerne, arbeitest praxisorientiert, übernimmst Verantwortung und willst etwas verändern
  • Fließende Sprachkenntnisse in Deutsch und Englisch


WAS** **WIR BIETEN

  • Modernes und hundefreundliches Büro im Herzen Berlins
  • Hybrides Arbeitsmodell mit flexiblen Arbeitszeiten für eine gesunde Work-Life-Balance
  • Wir arbeiten in funktionsübergreifenden und internationalen Teams und veranstalten regelmäßig Firmen- und Teamevents
  • 28 Tage bezahlter Urlaub, plus Weihnachten und Silvester, sowie die Möglichkeit, zusätzlichen unbezahlten Urlaub zu nehmen
  • 10 bezahlte Krankheitstage für Kinder pro Jahr
  • Jährliches Lern- und Entwicklungsbudget für den Kauf von Bildungsressourcen von bis zu 1.500 €
  • Ausrüstung nach deiner Wahl: Macbook oder Lenovo, sowie weitere Geräte für die Einrichtung im Home-Office
  • Bezuschusste Mitgliedschaft im Urban Sports Club oder BVG Deutschland Ticket
  • Unterstützung beim mentalen Wohlbefinden, einschließlich Einzelsitzungen, durch unseren Partner Likeminded
  • Betriebliche Altersvorsorge und persönliche Unfallversicherung
  • Unternehmensrabatte bei einer Vielzahl von externen Partnern
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3963336174,https://de.linkedin.com/jobs/view/senior-data-analyst-referrals-m-f-x-at-hellofresh-3963336174?position=1&pageNum=5&refId=mT4WG2z4v2K5DsBr3vC7MQ%3D%3D&trackingId=2LBfA8lKhRTrVDoVkR5A5g%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Analyst, Referrals (m/f/x)",HelloFresh,"Berlin, Berlin, Germany","The role + +As a Senior Data Analyst in the Referrals Analytics team, you'll play a key role in the Global Virality department. This team works on getting customers to share their HelloFresh experiences and recommend us to their friends. We aim to build a flexible referral program offering attractive deals to customers across the HelloFresh Group. The team is a hyper growth team which contribute to ~30% of the overall business globally. + +In this job, you’ll provide important insights that help shape our Digital Product and Commercial strategies. You'll use data to spot trends and find new opportunities that guide our decisions. You'll also help create a data-driven culture in our team, making sure everyone can use data to make smart choices. Your skills in Data Analytics and related technologies, along with your strong communication and organizational abilities, will greatly influence our company’s success. + +Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you. + +What You’ll Do + + +Provide cracking insights to optimize campaign targeting and efficiency of referral program promotions to customers +Analyze customer data to identify pain points and opportunities in the customer journey, helping to determine customer segmentation and personalization strategies. +Creating deep-dives and ad-hoc analysis, research, AB test analyses, reporting & visualization +Utilize various databases and querying/programming languages to access, manipulate and present the data needed +Improve how we look at Virality Analytics as a group, bringing key analytical insight to various levels across the organization +Work with other analytics departments, driving cross-team collaboration, best practice sharing, and insight generation. + + +What You’ll Bring + + +4+ years in a highly analytical role (bonus if you’ve worked in a Start-Up or in a high-growth environment) +Advanced abilities in SQL and python, and the ability to use statistical modeling techniques for robust analysis. +A strong business acumen and can translate insights into actionable recommendations that align with business objectives +Expertise in data visualization and data storytelling, including experience with dashboarding tools (Tableau preferred) +Experience working with a range of business stakeholders and communicating technical results in business language +A BS in computer science, mathematics, economics, statistics, engineering, or similar program + + +What We Offer + +Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion. + + +Immerse yourself in a diverse global community of 90+ nationalities. +Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model. +Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals. +Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy. +Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities! + + +Are you up for the challenge? + +Please submit your complete application below including your salary expectations and earliest starting date. + +After submitting an application our team will review this and get back to you within 5 business days. + +JR101535 +Show more ","
+ + + + + +
+
+ The role

As a Senior Data Analyst in the Referrals Analytics team, you'll play a key role in the Global Virality department. This team works on getting customers to share their HelloFresh experiences and recommend us to their friends. We aim to build a flexible referral program offering attractive deals to customers across the HelloFresh Group. The team is a hyper growth team which contribute to ~30% of the overall business globally.

In this job, you’ll provide important insights that help shape our Digital Product and Commercial strategies. You'll use data to spot trends and find new opportunities that guide our decisions. You'll also help create a data-driven culture in our team, making sure everyone can use data to make smart choices. Your skills in Data Analytics and related technologies, along with your strong communication and organizational abilities, will greatly influence our company’s success.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What You’ll Do

  • Provide cracking insights to optimize campaign targeting and efficiency of referral program promotions to customers
  • Analyze customer data to identify pain points and opportunities in the customer journey, helping to determine customer segmentation and personalization strategies.
  • Creating deep-dives and ad-hoc analysis, research, AB test analyses, reporting & visualization
  • Utilize various databases and querying/programming languages to access, manipulate and present the data needed
  • Improve how we look at Virality Analytics as a group, bringing key analytical insight to various levels across the organization
  • Work with other analytics departments, driving cross-team collaboration, best practice sharing, and insight generation.

What You’ll Bring

  • 4+ years in a highly analytical role (bonus if you’ve worked in a Start-Up or in a high-growth environment)
  • Advanced abilities in SQL and python, and the ability to use statistical modeling techniques for robust analysis.
  • A strong business acumen and can translate insights into actionable recommendations that align with business objectives
  • Expertise in data visualization and data storytelling, including experience with dashboarding tools (Tableau preferred)
  • Experience working with a range of business stakeholders and communicating technical results in business language
  • A BS in computer science, mathematics, economics, statistics, engineering, or similar program

What We Offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

  • Immerse yourself in a diverse global community of 90+ nationalities.
  • Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
  • Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
  • Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
  • Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days.

JR101535 +
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",2024-07-24,[] +3880100033,https://de.linkedin.com/jobs/view/customer-data-analyst-m-w-d-crm-at-verti-versicherung-ag-3880100033?position=2&pageNum=5&refId=mT4WG2z4v2K5DsBr3vC7MQ%3D%3D&trackingId=OowxDROD6P1jyc8SqyBy2w%3D%3D&trk=public_jobs_jserp-result_search-card,Customer Data Analyst (m/w/d) CRM,Verti Versicherung AG,"Teltow, Brandenburg, Germany","Um unseren Kunden passgenaue Produkte und einen bestmöglichen Service anbieten zu können, ist die Analyse und Interpretation von Daten essentiell. Als Customer Data Analyst (m/w/d) im Bereich Clients bei Verti liegt Dein Fokus auf der Datenaufbereitung und -analyse unserer Bestandskundendaten. Ziel ist es, unsere Kunden noch zielgruppengerechter anzusprechen und dadurch stärker an uns zu binden. Die Interaktion und der lösungsorientierte Austausch im eigenen Team aber vor allem auch mit anderen datengetriebenen Unternehmensbereichen ist uns dabei besonders wichtig. Nutze die Möglichkeit, Deine Expertise erfolgreich einzubringen und Analysen zu erarbeiten, die Grundlage für richtungsweisende Entscheidungen bei Verti sein können. Werde Teil unseres dynamischen und multikulturellen Clients Bereichs. + +Verti ist auf Wachstumskurs und sucht Dich zur Verstärkung als Customer Data Analyst (m/w/d) in Teltow bei Berlin. + +Standort: Teltow + +Startdatum: nach Vereinbarung + +Die Position ist in Vollzeit zu besetzen. + +Customer Data Analyst (m/w/d) CRM + +Das erwartet Dich: + + +Extrahierung von Bestandskunden-Daten, Durchführung von komplexen Datenanalysen und Erarbeitung von Prognosemodellen zur Lösung datengetriebener Fragestellungen und zur Generierung von Customer Insights entlang der gesamten Customer Journey +Definition von Zielstellungen für die bestandserhalt- oder kundenwertfördernden Aktionen gemeinsam mit dem CRM-Team +Evaluierung der Erreichung der genannten Ziele im Erfolgsmonitoring +Aufbereitung von aussagekräftigen Dashboards zur kontinuierlichen Erfolgskontrolle und Überwachung der Entwicklung der relevanten Customer KPIs +Ableitung von Handlungsempfehlungen zur Förderung des Bestandserhalts oder der Kundenwerterhöhung und Kommunikation dieser im eigenen Team sowie an das Management +Schnittstelle zu anderen datenverarbeitenden Bereichen im Unternehmen wie dem Data Warehouse, Versicherungsmathematik oder Data & Analytics + + +Das bringst Du mit: + + +Erfolgreich abgeschlossenes Studium mit relevantem Schwerpunkt (Betriebswirtschaft, Informatik, Statistik, Mathematik etc.) oder eine abgeschlossene Berufsausbildung mit entsprechender Weiterbildung +Relevante Berufserfahrung im Bereich Data/ Customer Analytics +Idealerweise erste Berufserfahrung im versicherungsmathematischen Bereich, Erfahrungen im Umfeld der Kfz- und Sachversicherung +Erfahrung im Umgang mit SQL-basierten Anwendungen und Statistiitkprogrammen, Sicherer Umgang mit den gängigen MS Office-Anwendungen +Sehr gutes analytisches Denkvermögen, schnelle Auffassungsgabe, selbstständige, ergebnisorientierte sowie proaktive Arbeitsweise +Fähigkeit, komplexe Fragestellungen klar und verständlich zu visualisieren und zu kommunizieren +Sicheres Auftreten, Durchsetzungsfähigkeit und gute Präsentationsfähigkeiten +Arbeitserlaubnis der Europäischen Union +Deutschkenntnisse Level C1, sehr gute Englischkenntnisse + + +Das bieten wir Dir: + +Ein verlässlicher Partner in besonderen Zeiten: Wir bieten unseren Bewerberinnen und Bewerbern Verlässlichkeit und Perspektiven in der aktuellen Situation und stellen weiterhin ein. Dabei haben die Gesundheit und Sicherheit unserer Bewerberinnen und Bewerber sowie unserer Mitarbeitenden oberste Priorität. Wir nutzen im Bewerbungsprozess virtuelle Medien (bspw. Video-Interviews) und halten uns bei persönlichen Gesprächen an definierte Hygiene- und Abstandsregeln. + +Lokal und Global: Bei uns kannst Du Dich je nach Aufgabengebiet in internationale Projekte einbringen und in internationalen Teams innerhalb des MAPFRE-Konzerns arbeiten. + +Innovation und Expertise: Ein Umfeld, in dem innovative, digitale Ideen wie in einem Start-up vorangetrieben werden - mit der Expertise aus mehr als 25 Jahren Erfahrung in der Versicherungsbranche. + +Vielfalt und Nachhaltigkeit: Als Unterzeichner der Charta der Vielfalt stehen wir für Diversität und Gerechtigkeit am Arbeitsplatz. Gender Pay Gap? Nicht bei Verti! Ebenso hat bei uns der verantwortungsvolle Umgang mit Ressourcen einen hohen Stellenwert. Aktuell fokussieren wir uns darauf bis 2024 klimaneutral zu werden. +Show more ","
+ + + + + +
+
+ Um unseren Kunden passgenaue Produkte und einen bestmöglichen Service anbieten zu können, ist die Analyse und Interpretation von Daten essentiell. Als Customer Data Analyst (m/w/d) im Bereich Clients bei Verti liegt Dein Fokus auf der Datenaufbereitung und -analyse unserer Bestandskundendaten. Ziel ist es, unsere Kunden noch zielgruppengerechter anzusprechen und dadurch stärker an uns zu binden. Die Interaktion und der lösungsorientierte Austausch im eigenen Team aber vor allem auch mit anderen datengetriebenen Unternehmensbereichen ist uns dabei besonders wichtig. Nutze die Möglichkeit, Deine Expertise erfolgreich einzubringen und Analysen zu erarbeiten, die Grundlage für richtungsweisende Entscheidungen bei Verti sein können. Werde Teil unseres dynamischen und multikulturellen Clients Bereichs.

Verti ist auf Wachstumskurs und sucht Dich zur Verstärkung als Customer Data Analyst (m/w/d) in Teltow bei Berlin.

Standort: Teltow

Startdatum: nach Vereinbarung

Die Position ist in Vollzeit zu besetzen.

Customer Data Analyst (m/w/d) CRM

Das erwartet Dich:

  • Extrahierung von Bestandskunden-Daten, Durchführung von komplexen Datenanalysen und Erarbeitung von Prognosemodellen zur Lösung datengetriebener Fragestellungen und zur Generierung von Customer Insights entlang der gesamten Customer Journey
  • Definition von Zielstellungen für die bestandserhalt- oder kundenwertfördernden Aktionen gemeinsam mit dem CRM-Team
  • Evaluierung der Erreichung der genannten Ziele im Erfolgsmonitoring
  • Aufbereitung von aussagekräftigen Dashboards zur kontinuierlichen Erfolgskontrolle und Überwachung der Entwicklung der relevanten Customer KPIs
  • Ableitung von Handlungsempfehlungen zur Förderung des Bestandserhalts oder der Kundenwerterhöhung und Kommunikation dieser im eigenen Team sowie an das Management
  • Schnittstelle zu anderen datenverarbeitenden Bereichen im Unternehmen wie dem Data Warehouse, Versicherungsmathematik oder Data & Analytics

Das bringst Du mit:

  • Erfolgreich abgeschlossenes Studium mit relevantem Schwerpunkt (Betriebswirtschaft, Informatik, Statistik, Mathematik etc.) oder eine abgeschlossene Berufsausbildung mit entsprechender Weiterbildung
  • Relevante Berufserfahrung im Bereich Data/ Customer Analytics
  • Idealerweise erste Berufserfahrung im versicherungsmathematischen Bereich, Erfahrungen im Umfeld der Kfz- und Sachversicherung
  • Erfahrung im Umgang mit SQL-basierten Anwendungen und Statistiitkprogrammen, Sicherer Umgang mit den gängigen MS Office-Anwendungen
  • Sehr gutes analytisches Denkvermögen, schnelle Auffassungsgabe, selbstständige, ergebnisorientierte sowie proaktive Arbeitsweise
  • Fähigkeit, komplexe Fragestellungen klar und verständlich zu visualisieren und zu kommunizieren
  • Sicheres Auftreten, Durchsetzungsfähigkeit und gute Präsentationsfähigkeiten
  • Arbeitserlaubnis der Europäischen Union
  • Deutschkenntnisse Level C1, sehr gute Englischkenntnisse

Das bieten wir Dir:

Ein verlässlicher Partner in besonderen Zeiten:
Wir bieten unseren Bewerberinnen und Bewerbern Verlässlichkeit und Perspektiven in der aktuellen Situation und stellen weiterhin ein. Dabei haben die Gesundheit und Sicherheit unserer Bewerberinnen und Bewerber sowie unserer Mitarbeitenden oberste Priorität. Wir nutzen im Bewerbungsprozess virtuelle Medien (bspw. Video-Interviews) und halten uns bei persönlichen Gesprächen an definierte Hygiene- und Abstandsregeln.

Lokal und Global: Bei uns kannst Du Dich je nach Aufgabengebiet in internationale Projekte einbringen und in internationalen Teams innerhalb des MAPFRE-Konzerns arbeiten.

Innovation und Expertise: Ein Umfeld, in dem innovative, digitale Ideen wie in einem Start-up vorangetrieben werden - mit der Expertise aus mehr als 25 Jahren Erfahrung in der Versicherungsbranche.

Vielfalt und Nachhaltigkeit: Als Unterzeichner der Charta der Vielfalt stehen wir für Diversität und Gerechtigkeit am Arbeitsplatz. Gender Pay Gap? Nicht bei Verti! Ebenso hat bei uns der verantwortungsvolle Umgang mit Ressourcen einen hohen Stellenwert. Aktuell fokussieren wir uns darauf bis 2024 klimaneutral zu werden. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3978451707,https://de.linkedin.com/jobs/view/senior-bi-analyst-ed-tech-%F0%9F%8E%93-at-berg-search-3978451707?position=3&pageNum=5&refId=mT4WG2z4v2K5DsBr3vC7MQ%3D%3D&trackingId=JBQnF9sbccmlpn4Cncy0UQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior BI Analyst - ED TECH 🎓,Berg Search,"Berlin, Germany","Work from anywhere (on-site, hybrid or remote) + +Locations: UK, Germany + +EUR 75 - 90k + + + + +About the company + +We're working with Europe’s largest Edtech player and with over 140,000 students. They are a pioneer in delivering high-quality education, through leveraging their technology to maximize student outcomes. + + + + +We are looking for an analytics / BI professional who are passionate about driving business impact through deep customer insights and operational excellence. + + + + +The ideal candidate thrives in fast-paced environments and has a track record of applying BI & analytics methodologies to create value for our customers. + + + + +They are hungry for going the extra mile in understanding what drives customer behavior as well as operational and process excellence while applying business judgement to decide what level of sophistication or pragmatism is needed to drive strategic decisions and operational steering. + + + + +YOUR ROLE + +Comprehensive Reporting: Take responsibility for extensive BI / Analytics reporting on enrollment, study progress, customer behavior, service, and other operational as well as system data, enabling our leadership and operational teams to take data driven decisions and steer our operations effectively. +Data Analysis: Perform both ad-hoc and strategic data analyses, deriving actionable recommendations for the operational business. +Data Visualization: Work among our After-Sales Analytics team in establishing high standards for effective data communication & visualization in PowerBI for leadership and operational teams alike. +Data Structures Development: Enhance our data structures and reporting landscape, ensuring our data preparation and analysis processes are state-of-the-art. Work closely with our Product & Tech teams at the (system) source level when needed. +Create (deep) analytical insights: Extract actionable insights from (complex) datasets and communicate findings effectively to non-technical stakeholders. +Strategic and Cross-functional Collaboration: Collaborate with leadership to define KPIs and metrics that align with business goals. Work closely with various teams to understand their analytical needs and provide data-driven solutions, ensuring insights inform strategic initiatives and operational improvements. +Mentorship, Training, and Quality Assurance: Mentor junior team members, provide training on BI tools and data analysis methodologies, and ensure data accuracy and reliability through quality control measures and thorough testing of data systems and reports. + + + + +YOUR PROFILE + +Proven track record: minimum of 4+ years experience in analytics engineering / BI / Data Analysis in a high-paced scaleup or tech environment, demonstrating strong analytical skills and ability to thrive in a dynamic setting. You have showcased high ambition in the past, whether academically, extracurricular or through your professional experience. +Analytical mindset: Highly analytical mindset with experience in analytics methodologies and techniques. You’re intrinsically driven by understanding the why behind data and KPIs and how this drives business value. +Data Stack: Extensive experience working with large datasets and proficiency in Python, Postgres (Redshift), PowerBI, and SQL, as well as data from various sources (e.g., internal systems, Salesforce, phone and ticket systems). Familiarity with data modeling techniques, ERD, enterprise data, GCP, BigQuery and designing and implementing data models (dbt), including relational SQL database technologies are a plus. +Growth Mindset: A proactive attitude towards learning new things, achieving high performance within your team, and being hands-on to drive strong results. +Education: A successful degree in (Business) Informatics, Data Science, Statistics, Engineering, Business Administration, Economics, or similar fields, along with very good English skills. +SaaS Product and App Analytics: Deeper knowledge in SaaS reporting and app analytics is a plus. + + + + +WE OFFER: + +Work wherever you want: Digitalization is part of our DNA. So decide for yourself which place sparks the most productivity in you. You love remote work? No problem! Would you like to work abroad for a while? Our WorkFlex Benefit makes it possible. +Flexible in terms of time: It’s your job; We trust you and give you the greatest possible freedom to organize yourself. +Take your knowledge to a new level: Where if not with us? Benefit from free further training, language courses, and discounted study programs. With us there is always something new to learn. +Rest well: We make an effort every day, but we also take the time to recharge our batteries: with 30 days of annual vacation plus an extra day of vacation on your birthday. Do you need a longer break? How about a sabbatical? +Use your own technology: You can choose your equipment freely. Because everyone has their own preferences when it comes to hardware and IDE. + + + + + + + + + + +Interview Process + +Personal fit interview with the Head of Customer Analytics +Technical Interview +Case Study + + + + +Show more ","
+ + + + + +
+
+

Work from anywhere (on-site, hybrid or remote)

Locations: UK, Germany

EUR 75 - 90k


About the company

We're working with Europe’s largest Edtech player and with over 140,000 students. They are a pioneer in delivering high-quality education, through leveraging their technology to maximize student outcomes.


We are looking for an analytics / BI professional who are passionate about driving business impact through deep customer insights and operational excellence.


The ideal candidate thrives in fast-paced environments and has a track record of applying BI & analytics methodologies to create value for our customers.


They are hungry for going the extra mile in understanding what drives customer behavior as well as operational and process excellence while applying business judgement to decide what level of sophistication or pragmatism is needed to drive strategic decisions and operational steering.


YOUR ROLE

  • Comprehensive Reporting: Take responsibility for extensive BI / Analytics reporting on enrollment, study progress, customer behavior, service, and other operational as well as system data, enabling our leadership and operational teams to take data driven decisions and steer our operations effectively.
  • Data Analysis: Perform both ad-hoc and strategic data analyses, deriving actionable recommendations for the operational business.
  • Data Visualization: Work among our After-Sales Analytics team in establishing high standards for effective data communication & visualization in PowerBI for leadership and operational teams alike.
  • Data Structures Development: Enhance our data structures and reporting landscape, ensuring our data preparation and analysis processes are state-of-the-art. Work closely with our Product & Tech teams at the (system) source level when needed.
  • Create (deep) analytical insights: Extract actionable insights from (complex) datasets and communicate findings effectively to non-technical stakeholders.
  • Strategic and Cross-functional Collaboration: Collaborate with leadership to define KPIs and metrics that align with business goals. Work closely with various teams to understand their analytical needs and provide data-driven solutions, ensuring insights inform strategic initiatives and operational improvements.
  • Mentorship, Training, and Quality Assurance: Mentor junior team members, provide training on BI tools and data analysis methodologies, and ensure data accuracy and reliability through quality control measures and thorough testing of data systems and reports.


YOUR PROFILE

  • Proven track record: minimum of 4+ years experience in analytics engineering / BI / Data Analysis in a high-paced scaleup or tech environment, demonstrating strong analytical skills and ability to thrive in a dynamic setting. You have showcased high ambition in the past, whether academically, extracurricular or through your professional experience.
  • Analytical mindset: Highly analytical mindset with experience in analytics methodologies and techniques. You’re intrinsically driven by understanding the why behind data and KPIs and how this drives business value.
  • Data Stack: Extensive experience working with large datasets and proficiency in Python, Postgres (Redshift), PowerBI, and SQL, as well as data from various sources (e.g., internal systems, Salesforce, phone and ticket systems). Familiarity with data modeling techniques, ERD, enterprise data, GCP, BigQuery and designing and implementing data models (dbt), including relational SQL database technologies are a plus.
  • Growth Mindset: A proactive attitude towards learning new things, achieving high performance within your team, and being hands-on to drive strong results.
  • Education: A successful degree in (Business) Informatics, Data Science, Statistics, Engineering, Business Administration, Economics, or similar fields, along with very good English skills.
  • SaaS Product and App Analytics: Deeper knowledge in SaaS reporting and app analytics is a plus.


WE OFFER:

  • Work wherever you want: Digitalization is part of our DNA. So decide for yourself which place sparks the most productivity in you. You love remote work? No problem! Would you like to work abroad for a while? Our WorkFlex Benefit makes it possible.
  • Flexible in terms of time: It’s your job; We trust you and give you the greatest possible freedom to organize yourself.
  • Take your knowledge to a new level: Where if not with us? Benefit from free further training, language courses, and discounted study programs. With us there is always something new to learn.
  • Rest well: We make an effort every day, but we also take the time to recharge our batteries: with 30 days of annual vacation plus an extra day of vacation on your birthday. Do you need a longer break? How about a sabbatical?
  • Use your own technology: You can choose your equipment freely. Because everyone has their own preferences when it comes to hardware and IDE.




Interview Process

  • Personal fit interview with the Head of Customer Analytics
  • Technical Interview
  • Case Study


+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3981301389,https://de.linkedin.com/jobs/view/senior-data-analyst-data-scientist-at-omos-media-gmbh-3981301389?position=4&pageNum=5&refId=mT4WG2z4v2K5DsBr3vC7MQ%3D%3D&trackingId=piiVr52iRJSNrvzxjV933w%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst / Data Scientist,omos media GmbH,"Berlin, Berlin, Germany","Schön, dass Du hier bist + +Wednesday afternoon in Berlin: With a smile on your face you’re on your way home from work. + +Together with your team you’ve accomplished a lot this week! + +After developing a complex data model today, you also managed to conduct relevant predictive analyses and are excited to see how your insights will improve the business strategy! + +If you see yourself in this role, we have some great news: We are now looking for a full-time Senior Data Analyst / Data Scientist (m/f/d) - remote/hybrid in Berlin! + +Please note that it is a prerequisite for this role that you live in Germany and are officially registered here. + +Die Stelle + + +Data Analysis and Visualization: Analyze and interpret large datasets to gain valuable insights for our business strategy. Create engaging visualizations and dashboards using tools like Tableau, Power BI, or Looker Studio that will impress our stakeholders. +Predictive Modeling: Develop and implement advanced statistical models and machine learning algorithms such as scikit-learn, PyTorch, or TensorFlow to make accurate predictions and support data-driven decisions. +Business Strategy: Use your analytical skills and creativity to develop innovative solutions that optimize business processes and enhance the customer journey. +Data Integrity and Quality: Ensure that our data is clean, accurate, and consistent by reviewing and cleansing data sources. +Cross-functional Collaboration: Work closely with various departments to understand data requirements and develop tailored solutions. Support the team in data-related projects and initiatives. +Technical Support and Maintenance: Ensure that our data infrastructures run smoothly and are always up-to-date by providing continuous support and maintenance. +APIs and Data Pipelines: Implement and manage interfaces to third-party APIs like Klarna, Klaviyo, and develop robust data pipelines for efficient processing and analysis of data. + + +Das bringst Du idealerweise mit* + + +Programming Skills: You have strong knowledge of SQL, Python, R, and other relevant programming languages. +Statistical Methods: You possess solid knowledge of statistical methods and machine learning techniques. +Data Visualization: You have experience working with visualization tools such as Tableau, Looker Studio, Power BI, or similar. +Big Data Technologies: Ideally, you have experience with BigQuery and other big data technologies. +Databases: You have practical experience with relational data bases as well as NoSQL data bases. +Project Experience: You have several years of experience in data analysis and science, including model development and implementation of data-driven solutions. +Team Player: You are a true team player who has gained initial experience in an agile work environment and looks forward to celebrating successes together. +Continuous Learning: You pursue self-directed learning and keep up with current trends in technology (we’re happy to support you in that!). +Language Skills: Our team speaks German; therefore, you should either have good German skills (B2/C1) and proficiency in English at B1/B2 level, or the other way around. + + +Das möchten wir Dir bieten + + +Stability and Reliability: We’ve outgrown our startup phase but are still far from being a corporation. As a grown-up company, we offer you the best of both worlds: a secure foundation with plenty of room for creativity! +Team Spirit: From day one, you’ll be a valuable part of a warm, supportive, and appreciative team, and you will immediately contribute to the companies culture. +Trust: Whether it’s about your workplace (hybrid), your working hours (trust-based working hours), or your style of working, we trust you to give your best and that we share the same goal: to be successful together. +Development: There’s no question that as a small team, we rely on everyone to pull together and develop collectively to enhance our performance. Feedback conversations are a given for us, as is fostering your potential through various training opportunities. +""Fully Remote"" Option: In your role, you have complete flexibility and receive the technical equipment needed to be productive both in the office and outside of it. Our team now works from all over Germany. +Balance and Recovery: You’ll receive 30 vacation days plus additional time off on December 24th and 31st each year. +Time for What Matters: In addition to vacation days, you get 2 voluntary ""charity leave days"" to engage in volunteer activities of your choice. +Mobility: To support all our employees in being flexible while on the go, we offer various public transport tickets, covering most of the costs. +Fitness: While our minds are engaged in exciting projects every day, we also want to ensure that the rest of our bodies don’t miss out. Therefore, we contribute significantly towards various fitness memberships. +Company Pension Scheme: The future of our team is important to us; that’s why we have a strong partner by our side and contribute well beyond the legally required minimum subsidy. +Gratitude: We appreciate the hard work our team puts in but know that words alone aren’t enough. To give back to everyone, team events are very dear to us. Whether it’s a birthday, anniversary, or other highlights in your life, we celebrate special occasions with small gifts. Additionally, you’ll enjoy many benefits from our employee programs like Corporate Benefits and FutureBens. +Animal Sponsorship: We take on a full sponsorship for a rescued animal at the “Lasst die Tiere leben e.V.” sanctuary in Brandenburg on your behalf. The animals carry the names of their sponsors. +Enjoyment: Our entire product range is available to you and your family monthly in its full healthy variety. What we don’t have: a fruit basket. But we do provide regular lunches, plenty of drinks, coffee, sweets, tea… If there’s anything you’re missing, just let us know! + + +Bist Du überzeugt? + +Are you keen to revolutionize the health market with us? Then apply right away! We’re also happy to answer any questions you may have in advance and show you why omos media is the right place for you, and how we can work together to make the world a better place sustainably. + +Über uns + +Als innovatives Unternehmen rund um die Themen Gesundheit, Fitness und Ernährung, wurde die omos media GmbH 2018 gegründet. Wir fokussieren uns auf die Personal Brand Jasper Caven, unsere Brand für vegane Supplement-Produkte Floranutris und MetaFlow - unsere Marke für gesunden und nachhaltigen Gewichtsverlust. 2023 haben wir mit WonderFast unsere vierte Marke gelaunched, deren Konzept es ist, nachhaltiges Intervallfasten zu unterstützen. + +Wir haben eine Mission: Als starkes, kreatives Team bei omos media werden wir weltweit vielen Menschen zu mehr Gesundheit, Lebensfreude und Wohlbefinden verhelfen. + +Du bist neugierig geworden und möchtest mehr erfahren? Das freut uns! Bitte hier entlang: + +https://omosmedia.de/ +Show more ","
+ + + + + +
+
+ Schön, dass Du hier bist

Wednesday afternoon in Berlin: With a smile on your face you’re on your way home from work.

Together with your team you’ve accomplished a lot this week!

After developing a complex data model today, you also managed to conduct relevant predictive analyses and are excited to see how your insights will improve the business strategy!

If you see yourself in this role, we have some great news: We are now looking for a full-time Senior Data Analyst / Data Scientist (m/f/d) - remote/hybrid in Berlin!

Please note that it is a prerequisite for this role that you live in Germany and are officially registered here.

Die Stelle

  • Data Analysis and Visualization: Analyze and interpret large datasets to gain valuable insights for our business strategy. Create engaging visualizations and dashboards using tools like Tableau, Power BI, or Looker Studio that will impress our stakeholders.
  • Predictive Modeling: Develop and implement advanced statistical models and machine learning algorithms such as scikit-learn, PyTorch, or TensorFlow to make accurate predictions and support data-driven decisions.
  • Business Strategy: Use your analytical skills and creativity to develop innovative solutions that optimize business processes and enhance the customer journey.
  • Data Integrity and Quality: Ensure that our data is clean, accurate, and consistent by reviewing and cleansing data sources.
  • Cross-functional Collaboration: Work closely with various departments to understand data requirements and develop tailored solutions. Support the team in data-related projects and initiatives.
  • Technical Support and Maintenance: Ensure that our data infrastructures run smoothly and are always up-to-date by providing continuous support and maintenance.
  • APIs and Data Pipelines: Implement and manage interfaces to third-party APIs like Klarna, Klaviyo, and develop robust data pipelines for efficient processing and analysis of data.

Das bringst Du idealerweise mit*

  • Programming Skills: You have strong knowledge of SQL, Python, R, and other relevant programming languages.
  • Statistical Methods: You possess solid knowledge of statistical methods and machine learning techniques.
  • Data Visualization: You have experience working with visualization tools such as Tableau, Looker Studio, Power BI, or similar.
  • Big Data Technologies: Ideally, you have experience with BigQuery and other big data technologies.
  • Databases: You have practical experience with relational data bases as well as NoSQL data bases.
  • Project Experience: You have several years of experience in data analysis and science, including model development and implementation of data-driven solutions.
  • Team Player: You are a true team player who has gained initial experience in an agile work environment and looks forward to celebrating successes together.
  • Continuous Learning: You pursue self-directed learning and keep up with current trends in technology (we’re happy to support you in that!).
  • Language Skills: Our team speaks German; therefore, you should either have good German skills (B2/C1) and proficiency in English at B1/B2 level, or the other way around.

Das möchten wir Dir bieten

  • Stability and Reliability: We’ve outgrown our startup phase but are still far from being a corporation. As a grown-up company, we offer you the best of both worlds: a secure foundation with plenty of room for creativity!
  • Team Spirit: From day one, you’ll be a valuable part of a warm, supportive, and appreciative team, and you will immediately contribute to the companies culture.
  • Trust: Whether it’s about your workplace (hybrid), your working hours (trust-based working hours), or your style of working, we trust you to give your best and that we share the same goal: to be successful together.
  • Development: There’s no question that as a small team, we rely on everyone to pull together and develop collectively to enhance our performance. Feedback conversations are a given for us, as is fostering your potential through various training opportunities.
  • ""Fully Remote"" Option: In your role, you have complete flexibility and receive the technical equipment needed to be productive both in the office and outside of it. Our team now works from all over Germany.
  • Balance and Recovery: You’ll receive 30 vacation days plus additional time off on December 24th and 31st each year.
  • Time for What Matters: In addition to vacation days, you get 2 voluntary ""charity leave days"" to engage in volunteer activities of your choice.
  • Mobility: To support all our employees in being flexible while on the go, we offer various public transport tickets, covering most of the costs.
  • Fitness: While our minds are engaged in exciting projects every day, we also want to ensure that the rest of our bodies don’t miss out. Therefore, we contribute significantly towards various fitness memberships.
  • Company Pension Scheme: The future of our team is important to us; that’s why we have a strong partner by our side and contribute well beyond the legally required minimum subsidy.
  • Gratitude: We appreciate the hard work our team puts in but know that words alone aren’t enough. To give back to everyone, team events are very dear to us. Whether it’s a birthday, anniversary, or other highlights in your life, we celebrate special occasions with small gifts. Additionally, you’ll enjoy many benefits from our employee programs like Corporate Benefits and FutureBens.
  • Animal Sponsorship: We take on a full sponsorship for a rescued animal at the “Lasst die Tiere leben e.V.” sanctuary in Brandenburg on your behalf. The animals carry the names of their sponsors.
  • Enjoyment: Our entire product range is available to you and your family monthly in its full healthy variety. What we don’t have: a fruit basket. But we do provide regular lunches, plenty of drinks, coffee, sweets, tea… If there’s anything you’re missing, just let us know!

Bist Du überzeugt?

Are you keen to revolutionize the health market with us? Then apply right away! We’re also happy to answer any questions you may have in advance and show you why omos media is the right place for you, and how we can work together to make the world a better place sustainably.

Über uns

Als innovatives Unternehmen rund um die Themen Gesundheit, Fitness und Ernährung, wurde die omos media GmbH 2018 gegründet. Wir fokussieren uns auf die Personal Brand Jasper Caven, unsere Brand für vegane Supplement-Produkte Floranutris und MetaFlow - unsere Marke für gesunden und nachhaltigen Gewichtsverlust. 2023 haben wir mit WonderFast unsere vierte Marke gelaunched, deren Konzept es ist, nachhaltiges Intervallfasten zu unterstützen.

Wir haben eine Mission: Als starkes, kreatives Team bei omos media werden wir weltweit vielen Menschen zu mehr Gesundheit, Lebensfreude und Wohlbefinden verhelfen.

Du bist neugierig geworden und möchtest mehr erfahren? Das freut uns! Bitte hier entlang:

https://omosmedia.de/ +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3947914541,https://de.linkedin.com/jobs/view/staff-principal-data-analyst-d-f-m-at-personio-3947914541?position=5&pageNum=5&refId=mT4WG2z4v2K5DsBr3vC7MQ%3D%3D&trackingId=k0LodYT89PG6VTIDoe3MMg%3D%3D&trk=public_jobs_jserp-result_search-card,Staff/Principal Data Analyst (d/f/m),Personio,"Berlin, Berlin, Germany","The Role: How you'll make an impact at Personio + +This position can be office-based, hybrid, or fully remote from one of the following countries: Germany, Spain, Ireland, the Netherlands, or the UK. + +Drive Strategic Decisions. Shape Our Future. The Data Department is on a mission to facilitate better decisions within the company. We build core data products and enable internal teams to create and share their own. Join our team and help us build the foundation of data at Personio. + +As a Staff/Principal Data Analyst supporting the Finance, Legal, and Strategy (FLS) team at Personio, you play a pivotal role in transforming data into strategic insights, shaping our company’s financial strategy. In this role, you're not just analyzing numbers; you're driving critical business decisions and influencing long-term strategies. Your insights directly impact our financial health and strategic direction, making your contribution vital to our mission of sustainable growth and operational excellence. + +Role Responsibilities: What you'll do + + +Strategic Business Partnership: Act as a primary data strategist for the organization, partnering with top executives. Regularly consult with the CFO and other executives, providing data-driven guidance on major strategic initiatives and long-term planning. +Data Analysis: Analyze and interpret diverse datasets, focusing on financial performance, legal trends, and strategic initiatives to guide FLS in making informed, data-driven decisions. +Dashboard Development: Create and strategize the evolution of real-time, interactive dashboards for stakeholders, ensuring they are user-friendly and aligned with the evolving needs of the business. +Business Reviews and Insight Generation: Oversee the insight generation process for business reviews at a company-wide level, guiding analysts in different departments to highlight crucial insights and trends. +Strategic Planning: Collaborate with leadership and peers in developing business strategies grounded in data insights, aimed at growth, operational optimization, and cost reduction. +Stakeholder Management: Lead multiple projects simultaneously, managing expectations and collaborating with the data team for internal consistency, scalability, and reliability of data practices. +Proactive Team Embedding: Act as a strategic data partner for multiple teams, guiding them in aligning their objectives with data insights. Lead initiatives to use data in solving complex business challenges. + + +Role Requirements: What you need to succeed + + +Education & Experience: A quantitative degree (e.g., Applied Math, Econ, Stats, Eng, CS) paired with a minimum of 7 years of data analytics experience, in a SaaS, Subscription, or B2B environment with a focus on Finance, Legal, and Strategy. Experience working with executive-level stakeholders (CFO, CEO, …). +Deep understanding of SaaS-specific financial processes and financial systems like Salesforce, Chargebee, Adaptive. +KPI and Dashboard Expertise: Strong understanding of financial and strategic KPIs and proficient in creating scalable dashboards that effectively translate business requirements into impactful visuals. +Technical Proficiency: Advanced skills in SQL and BI/Visualization tools like Tableau, facilitating data extraction, manipulation, and presentation. +Statistical Knowledge: Master the use of cutting-edge statistical methods and tools, providing strategic guidance and recommendations based on sophisticated data analysis. +Analytical Mindset: Intellectual curiosity to delve deep into data, identifying underlying trends, patterns, and actionable insights. +Communication Skills: Ability to articulate complex data observations in simple terms, ensuring clarity and understanding among stakeholders. Master the art of storytelling with data, driving organizational change and strategy through powerful presentations and reports. +Entrepreneurial Approach: A proactive problem-solver, focused on generating impactful results and identifying opportunities for improvement through data-driven insights. + + +Why Personio + +Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race. + +Benefits + +Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work: + + +Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity +Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years (because we love what we do, but we also love vacation!) +Make an impact on the environment and society with 2 (fully paid) Impact Days – one for an individual project of your choice and one for a company-wide initiative +Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares +Find your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 50% remote, 50% in-office working framework +Invest in your development with an annual personal development budget to use on professional memberships, external certifications, conferences, and more +Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations +Engage in a high-impact working environment with flat hierarchies and short decision-making processes + + +About Us + +Bring your best. Make your mark. We’re using technology to revolutionize the way HR operates so that we can transform the way millions of people experience work every day. We move fast, challenge the status quo, and support our people as they shape their careers. + +With over 10,000 customers and a team of 2,000 in eight offices around the world, now is the perfect time to join! We believe in hiring driven people who want to make an impact. So bring your best, and let’s build the future of HR technology together. + +Discover our Personio Principles, that guide our mindset, behaviours, and the ways we work together: + +Exceed Customer Expectations: We anticipate, prioritize, and solve for the needs of our customers. + +Deliver Exceptional Results: We dream big and move with urgency to make great things happen. + +Elevate One Another: We work together as trusted partners to amplify our collective impact. + +Care to Challenge: We care personally and challenge directly to unlock our full potential. + +Ignite Positive Momentum: We embrace the challenge with a positive mindset and celebrate our wins together. +Show more ","
+ + + + + +
+
+ The Role: How you'll make an impact at Personio

This position can be office-based, hybrid, or fully remote from one of the following countries: Germany, Spain, Ireland, the Netherlands, or the UK.

Drive Strategic Decisions. Shape Our Future. The Data Department is on a mission to facilitate better decisions within the company. We build core data products and enable internal teams to create and share their own. Join our team and help us build the foundation of data at Personio.

As a Staff/Principal Data Analyst supporting the Finance, Legal, and Strategy (FLS) team at Personio, you play a pivotal role in transforming data into strategic insights, shaping our company’s financial strategy. In this role, you're not just analyzing numbers; you're driving critical business decisions and influencing long-term strategies. Your insights directly impact our financial health and strategic direction, making your contribution vital to our mission of sustainable growth and operational excellence.

Role Responsibilities: What you'll do

  • Strategic Business Partnership: Act as a primary data strategist for the organization, partnering with top executives. Regularly consult with the CFO and other executives, providing data-driven guidance on major strategic initiatives and long-term planning.
  • Data Analysis: Analyze and interpret diverse datasets, focusing on financial performance, legal trends, and strategic initiatives to guide FLS in making informed, data-driven decisions.
  • Dashboard Development: Create and strategize the evolution of real-time, interactive dashboards for stakeholders, ensuring they are user-friendly and aligned with the evolving needs of the business.
  • Business Reviews and Insight Generation: Oversee the insight generation process for business reviews at a company-wide level, guiding analysts in different departments to highlight crucial insights and trends.
  • Strategic Planning: Collaborate with leadership and peers in developing business strategies grounded in data insights, aimed at growth, operational optimization, and cost reduction.
  • Stakeholder Management: Lead multiple projects simultaneously, managing expectations and collaborating with the data team for internal consistency, scalability, and reliability of data practices.
  • Proactive Team Embedding: Act as a strategic data partner for multiple teams, guiding them in aligning their objectives with data insights. Lead initiatives to use data in solving complex business challenges.

Role Requirements: What you need to succeed

  • Education & Experience: A quantitative degree (e.g., Applied Math, Econ, Stats, Eng, CS) paired with a minimum of 7 years of data analytics experience, in a SaaS, Subscription, or B2B environment with a focus on Finance, Legal, and Strategy. Experience working with executive-level stakeholders (CFO, CEO, …).
  • Deep understanding of SaaS-specific financial processes and financial systems like Salesforce, Chargebee, Adaptive.
  • KPI and Dashboard Expertise: Strong understanding of financial and strategic KPIs and proficient in creating scalable dashboards that effectively translate business requirements into impactful visuals.
  • Technical Proficiency: Advanced skills in SQL and BI/Visualization tools like Tableau, facilitating data extraction, manipulation, and presentation.
  • Statistical Knowledge: Master the use of cutting-edge statistical methods and tools, providing strategic guidance and recommendations based on sophisticated data analysis.
  • Analytical Mindset: Intellectual curiosity to delve deep into data, identifying underlying trends, patterns, and actionable insights.
  • Communication Skills: Ability to articulate complex data observations in simple terms, ensuring clarity and understanding among stakeholders. Master the art of storytelling with data, driving organizational change and strategy through powerful presentations and reports.
  • Entrepreneurial Approach: A proactive problem-solver, focused on generating impactful results and identifying opportunities for improvement through data-driven insights.

Why Personio

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

Benefits

Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

  • Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
  • Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years (because we love what we do, but we also love vacation!)
  • Make an impact on the environment and society with 2 (fully paid) Impact Days – one for an individual project of your choice and one for a company-wide initiative
  • Receive generous family leave, child support, mental health support, and sabbatical opportunities with PersonioCares
  • Find your best way to work with our office-led, remote-friendly PersonioFlex! Most teams offer a roughly 50% remote, 50% in-office working framework
  • Invest in your development with an annual personal development budget to use on professional memberships, external certifications, conferences, and more
  • Connect with your fellow Personios at regular company and team events like All Company Culture Week and local year-end celebrations
  • Engage in a high-impact working environment with flat hierarchies and short decision-making processes

About Us

Bring your best. Make your mark. We’re using technology to revolutionize the way HR operates so that we can transform the way millions of people experience work every day. We move fast, challenge the status quo, and support our people as they shape their careers.

With over 10,000 customers and a team of 2,000 in eight offices around the world, now is the perfect time to join! We believe in hiring driven people who want to make an impact. So bring your best, and let’s build the future of HR technology together.

Discover our Personio Principles, that guide our mindset, behaviours, and the ways we work together:

Exceed Customer Expectations: We anticipate, prioritize, and solve for the needs of our customers.

Deliver Exceptional Results: We dream big and move with urgency to make great things happen.

Elevate One Another: We work together as trusted partners to amplify our collective impact.

Care to Challenge: We care personally and challenge directly to unlock our full potential.

Ignite Positive Momentum: We embrace the challenge with a positive mindset and celebrate our wins together. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3920860689,https://de.linkedin.com/jobs/view/financial-data-analyst-w-%E2%80%8Bm-%E2%80%8Bd-at-avm-gmbh-3920860689?position=7&pageNum=5&refId=mT4WG2z4v2K5DsBr3vC7MQ%3D%3D&trackingId=7IXQdiyFFtn97eo3e9qR4g%3D%3D&trk=public_jobs_jserp-result_search-card,Financial Data Analyst (w/m/d),AVM GmbH,"Berlin, Berlin, Germany","Deine Aufgaben + + +Du entwickelst eine neue Prozessmodellierung für Finanzdaten und baust sie auf +Dabei erstellst du neue Dashboards und Auswertungen zur Datenanalyse und visualisierst Trends +Du bringst dein Erfahrungswissen bei Entscheidungsgrundlagen für das Management ein und bereitest diese vor +Du wirkst aktiv bei der Implementierung neuer Applikationen und Tools mit und bist für die erforderliche Anpassung von Geschäftsprozessen mitverantwortlich +Deine Expertise bringst du proaktiv bei der Aufbereitung verschiedener finanzrelevanter Projekte ein +In direkter Berichtslinie arbeitest du eng mit unserem Vice President Finance & Admin zusammen + + +Dein Profil + + +Du verfügst über ein abgeschlossenes Studium in einem wirtschaftswissenschaftlichen Bereich vorzugsweise mit dem Schwerpunkt Finanzen, oder eine abgeschlossene, kaufmännische Ausbildung +Du bist erfahren in der Erstellung von Reports und Präsentationen (mittels BI Tools und MS Office) +Deine Argumentationssicherheit basiert auf Zahlen, Daten & Fakten +Du bist eine eigenständige und selbstorganisierte Arbeitsweise gewohnt, dabei aber ein Teamplayer +Du bringst Passion und Freude an der Analyse und Auswertung von Daten und digitalen Lösungen mit +Du verfügst über Kommunikationsstärke und eine Ausgeprägte Service- und Kundenorientierung +Gute Deutsch- und Englischkenntnisse + + +Freu Dich Drauf + + +Zukunftsweisende Technologien für den Alltag entwickeln +Spannende Projekte und vielfältige Aufgabenfelder mit großer Wirkung +Gestaltungsfreiraum und Eigenverantwortung bei der Entwicklung von Qualitätsprodukten zum Anfassen +Flexibles Arbeiten mit der Option, mehrere Tage pro Woche im Homeoffice zu arbeiten +44 Euro Beitrag zum Deutschlandticket +Vermögenswirksame Leistungen in Höhe von 27 Euro pro Monat +30 Tage Urlaub sowie Heiligabend und Silvester frei +Individuelle Weiterbildungsmöglichkeiten und eine offene Voneinander-Lern-Kultur wie z.B. im Rahmen unserer Developer Coffee Breaks +Einzigartige Teamevents, z.B. Grillevents, Weihnachtsfeier und das große AVM Sommerfest, zu dem auch deine Familie miteingeladen ist +Show more ","
+ + + + + +
+
+ Deine Aufgaben

  • Du entwickelst eine neue Prozessmodellierung für Finanzdaten und baust sie auf
  • Dabei erstellst du neue Dashboards und Auswertungen zur Datenanalyse und visualisierst Trends
  • Du bringst dein Erfahrungswissen bei Entscheidungsgrundlagen für das Management ein und bereitest diese vor
  • Du wirkst aktiv bei der Implementierung neuer Applikationen und Tools mit und bist für die erforderliche Anpassung von Geschäftsprozessen mitverantwortlich
  • Deine Expertise bringst du proaktiv bei der Aufbereitung verschiedener finanzrelevanter Projekte ein
  • In direkter Berichtslinie arbeitest du eng mit unserem Vice President Finance & Admin zusammen

Dein Profil

  • Du verfügst über ein abgeschlossenes Studium in einem wirtschaftswissenschaftlichen Bereich vorzugsweise mit dem Schwerpunkt Finanzen, oder eine abgeschlossene, kaufmännische Ausbildung
  • Du bist erfahren in der Erstellung von Reports und Präsentationen (mittels BI Tools und MS Office)
  • Deine Argumentationssicherheit basiert auf Zahlen, Daten & Fakten
  • Du bist eine eigenständige und selbstorganisierte Arbeitsweise gewohnt, dabei aber ein Teamplayer
  • Du bringst Passion und Freude an der Analyse und Auswertung von Daten und digitalen Lösungen mit
  • Du verfügst über Kommunikationsstärke und eine Ausgeprägte Service- und Kundenorientierung
  • Gute Deutsch- und Englischkenntnisse

Freu Dich Drauf

  • Zukunftsweisende Technologien für den Alltag entwickeln
  • Spannende Projekte und vielfältige Aufgabenfelder mit großer Wirkung
  • Gestaltungsfreiraum und Eigenverantwortung bei der Entwicklung von Qualitätsprodukten zum Anfassen
  • Flexibles Arbeiten mit der Option, mehrere Tage pro Woche im Homeoffice zu arbeiten
  • 44 Euro Beitrag zum Deutschlandticket
  • Vermögenswirksame Leistungen in Höhe von 27 Euro pro Monat
  • 30 Tage Urlaub sowie Heiligabend und Silvester frei
  • Individuelle Weiterbildungsmöglichkeiten und eine offene Voneinander-Lern-Kultur wie z.B. im Rahmen unserer Developer Coffee Breaks
  • Einzigartige Teamevents, z.B. Grillevents, Weihnachtsfeier und das große AVM Sommerfest, zu dem auch deine Familie miteingeladen ist
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3928979062,https://de.linkedin.com/jobs/view/data-analytics-principal-m-f-d-berlin-at-freenow-3928979062?position=10&pageNum=5&refId=mT4WG2z4v2K5DsBr3vC7MQ%3D%3D&trackingId=hhXPy8JsvvuXaAjIFbEBzA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analytics Principal (m/f/d) - Berlin,FREENOW,"Berlin, Berlin, Germany","Location : We are flexible! Come and join us either in Germany, Poland, Greece, Portugal or Italy! + +FREE NOW empowers smarter mobility decisions helping people to move freely and cities to thrive. + +Be ready to work in a multinational, diverse, highly motivated and collaborative team who strives for excellence and like to have fun. Are you ready for your next ride? + +As of now, we are looking for a Data Analytics Principal in Core-Technology! + +If you love technology and innovation and have solution-oriented thinking, HERE IS YOUR CHANCE! + +Principals in Data are technical leaders involved in key business initiatives. They are experts in their data craft and generate significant business impact directly and indirectly. This is achieved by owning their respective data craft leadership (distributed across several domains in our data mesh setup) as well as the technical strategy. They identify & reveal the big problems, know or research innovative solutions, translate them to actions, and execute/delegate (have autonomy and lateral leadership). They have full ownership of their projects, bringing them from the initial idea generation to the phase of implementation together with Engineers, Data Engineers, Data Analysts, Product managers, etc while leading teams around them in the application of their respective data craft. + +YOUR DAILY ADVENTURES WILL INCLUDE: + + +Providing data craft and cross-functional project leadership with focus on Data Analytics +Defining standards & guidelines to ensure high quality and sustainability of deliverables across all DATA domains +Work closely together with the Data leadership in the conceptualization and implementation of infrastructures, processes and models for a deep understanding of data in a growing variety of market environments leading to the projection of future developments +Leading data projects & initiatives with reach across the entire company +Anticipating bottlenecks, providing escalation management, anticipating and making trade-offs, and balancing business needs versus scientific and technical constraints +Own a product end to end by actively monitoring application health, performance and business impact, set KPIs and act accordingly in case those are not met +Mentoring and helping develop the data analysts as well as the craft in Data Analytics +Guides and supports teams dealing with complex scenarios + + +TO BE SUCCESSFUL IN THIS ROLE... Your profile: + + +Bachelor, Master degree or PhD in a field such as Computer Science, Engineering, Mathematics, Statistics, Artificial Intelligence, Psychology, Economics, etc. +At least 8 years experience in one of the focus areas for principals (Data Analytics, Data Science, Data Engineering, Experimentation / Statistics or Machine learning Engineering). +Strong holistic view on implementation of data products across all data functions and strong stakeholder management and storytelling skills. +Highly advanced knowledge, expertise and proven track record of implementation of products and projects and constantly challenging the status quo in their principal focus area to further our operations and business. +Strong knowledge and interest in the way our business & the mobility industry operates; big picture thinking. +Lead innovation and define how to create additional value through the utilization of our data assets. +Proven ability to take large, scientifically complex projects and break them down into manageable hypotheses and experiments to inform functional specifications and then deliver features in a successful and timely manner +Able to deliver clear, well-structured and meaningful information to target audience of various stakeholders and knowledge level. +Highly innovative individual with strong problem solving skills and solution-oriented, agile mindset. +Strong hands-on mentality (when needed), a strong sense of accountability & ownership and strong mindset for ""nothing is someone else's problem"". +Highly collaborative with good negotiation and relationship building-skills. +Flexible and able to pivot quickly based on business needs and changing environment. +Highly receptive for feedback / being challenged, always eager to learn and humble (notion that no one of us is always 100% right). + + +Hard skills: + + +Expert knowledge of SQL, Python, R or similar technologies required to develop Data Analytics projects. +Expert knowledge and experience in one of the following domains: Advanced / Prescriptive Analytics, Automation, Geospatial Analytics, etc. +Subject Matter Expertise in at least one of our domains (i.e. Marketing, Product Domains, Operations, Finance) +Expertise on multiple Data Analytics facets: insights generation, statistical analysis, working with large data sets, data wrangling and transformations, experimentation, data visualisation, reporting and storytelling +Embody and evangelise best practices for Data Analytics and proactively raising the overall quality of work produced +Willing and eager to learn new languages, frameworks, tools and methodologies (you can tackle anything with a good tutorial) + + +BENEFITS & PERKS IN A NUTSHELL: + + +Fully remote* or hybrid working models +Subsidised gym membership +Sabbatical & time off +Partner product discounts +Birthday-off +Employee assistance program +Mobility benefits card + + +Plus more local benefits depending on your work location! + + +or in one of the countries where we have a legal entity in! + + +DIVERSITY, EQUITY & INCLUSION: + +FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. + +We want you to grow and evolve, bring your true self to work . +Show more ","
+ + + + + +
+
+ Location : We are flexible! Come and join us either in Germany, Poland, Greece, Portugal or Italy!

FREE NOW empowers smarter mobility decisions helping people to move freely and cities to thrive.

Be ready to work in a multinational, diverse, highly motivated and collaborative team who strives for excellence and like to have fun. Are you ready for your next ride?

As of now, we are looking for a Data Analytics Principal in Core-Technology!

If you love technology and innovation and have solution-oriented thinking, HERE IS YOUR CHANCE!

Principals in Data are technical leaders involved in key business initiatives. They are experts in their data craft and generate significant business impact directly and indirectly. This is achieved by owning their respective data craft leadership (distributed across several domains in our data mesh setup) as well as the technical strategy. They identify & reveal the big problems, know or research innovative solutions, translate them to actions, and execute/delegate (have autonomy and lateral leadership). They have full ownership of their projects, bringing them from the initial idea generation to the phase of implementation together with Engineers, Data Engineers, Data Analysts, Product managers, etc while leading teams around them in the application of their respective data craft.

YOUR DAILY ADVENTURES WILL INCLUDE:

  • Providing data craft and cross-functional project leadership with focus on Data Analytics
  • Defining standards & guidelines to ensure high quality and sustainability of deliverables across all DATA domains
  • Work closely together with the Data leadership in the conceptualization and implementation of infrastructures, processes and models for a deep understanding of data in a growing variety of market environments leading to the projection of future developments
  • Leading data projects & initiatives with reach across the entire company
  • Anticipating bottlenecks, providing escalation management, anticipating and making trade-offs, and balancing business needs versus scientific and technical constraints
  • Own a product end to end by actively monitoring application health, performance and business impact, set KPIs and act accordingly in case those are not met
  • Mentoring and helping develop the data analysts as well as the craft in Data Analytics
  • Guides and supports teams dealing with complex scenarios

TO BE SUCCESSFUL IN THIS ROLE... Your profile:

  • Bachelor, Master degree or PhD in a field such as Computer Science, Engineering, Mathematics, Statistics, Artificial Intelligence, Psychology, Economics, etc.
  • At least 8 years experience in one of the focus areas for principals (Data Analytics, Data Science, Data Engineering, Experimentation / Statistics or Machine learning Engineering).
  • Strong holistic view on implementation of data products across all data functions and strong stakeholder management and storytelling skills.
  • Highly advanced knowledge, expertise and proven track record of implementation of products and projects and constantly challenging the status quo in their principal focus area to further our operations and business.
  • Strong knowledge and interest in the way our business & the mobility industry operates; big picture thinking.
  • Lead innovation and define how to create additional value through the utilization of our data assets.
  • Proven ability to take large, scientifically complex projects and break them down into manageable hypotheses and experiments to inform functional specifications and then deliver features in a successful and timely manner
  • Able to deliver clear, well-structured and meaningful information to target audience of various stakeholders and knowledge level.
  • Highly innovative individual with strong problem solving skills and solution-oriented, agile mindset.
  • Strong hands-on mentality (when needed), a strong sense of accountability & ownership and strong mindset for ""nothing is someone else's problem"".
  • Highly collaborative with good negotiation and relationship building-skills.
  • Flexible and able to pivot quickly based on business needs and changing environment.
  • Highly receptive for feedback / being challenged, always eager to learn and humble (notion that no one of us is always 100% right).

Hard skills:

  • Expert knowledge of SQL, Python, R or similar technologies required to develop Data Analytics projects.
  • Expert knowledge and experience in one of the following domains: Advanced / Prescriptive Analytics, Automation, Geospatial Analytics, etc.
  • Subject Matter Expertise in at least one of our domains (i.e. Marketing, Product Domains, Operations, Finance)
  • Expertise on multiple Data Analytics facets: insights generation, statistical analysis, working with large data sets, data wrangling and transformations, experimentation, data visualisation, reporting and storytelling
  • Embody and evangelise best practices for Data Analytics and proactively raising the overall quality of work produced
  • Willing and eager to learn new languages, frameworks, tools and methodologies (you can tackle anything with a good tutorial)

BENEFITS & PERKS IN A NUTSHELL:

  • Fully remote* or hybrid working models
  • Subsidised gym membership
  • Sabbatical & time off
  • Partner product discounts
  • Birthday-off
  • Employee assistance program
  • Mobility benefits card

Plus more local benefits depending on your work location!

  • or in one of the countries where we have a legal entity in!

DIVERSITY, EQUITY & INCLUSION:

FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.

We want you to grow and evolve, bring your true self to work . +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3979342289,https://de.linkedin.com/jobs/view/datacenter-service-engineer-at-datacenter-people-3979342289?position=1&pageNum=7&refId=STxDxd07Dd06jCDqvbQR%2BQ%3D%3D&trackingId=fcFH%2BHwz%2FVCXwQIAVJrpGg%3D%3D&trk=public_jobs_jserp-result_search-card,Datacenter Service Engineer,Datacenter People,"Berlin, Germany","The Client + + + + +Datacenter People is working with a leading European data center operator. + + + + +The Role + +Working with a team of highly qualified Technicians, the role offers huge development potential for any candidate wanting to work on the leading edge of the growing data centre industry. +Operation and maintenance of all critical facility systems, areas include: Electrical, Mechanical, Building and Control. +Monitor the EPMS, BMS, Fire Systems Alarms and respond in a timely manner. +Operate, monitor, maintain and respond to abnormal conditions in critical facility systems. +Perform preventative, corrective and emergency maintenance on state of the art medium & low voltage, high availability power systems. +Ensure all subcontractors are inducted & permitted to work. +Ensure that documents library and workshop are clean & tidy always. +Provide input into and develop site specific procedures including EOPs, SOPs and MOPS. + + + + +The Experience Profile + +A fully verifiable trade qualification in a relevant engineering discipline & verifiable additional training that is relevant to the proposed environment. +Understanding of LV power distribution and loading. +A strong understanding and experience of the electrical & mechanical systems used in a data centre environment, including: Feeders, Transformers, Generators, Fuel Systems, Switchgear, UPS Systems, Battery Banks, ATS / STS Units, Chillers, Air Handling Units, CRAC Units, Fire Alarm Systems and Fire Suppression Systems. +Experience of complex automatic control equipment, including relay logic, programmable logic controllers (PLCs), building management systems and their integration with the data center infrastructure. +Experience of low & medium voltage distribution systems & associated switch gear and protection equipment is preferred. +Availability to work shift and to provide emergency cover as required. +No prior data center experience is required as full training can be provided +Must be able to speak GERMAN to at least conversational level (B1/B2) + +Show more ","
+ + + + + +
+
+

The Client


Datacenter People is working with a leading European data center operator.


The Role

  • Working with a team of highly qualified Technicians, the role offers huge development potential for any candidate wanting to work on the leading edge of the growing data centre industry.
  • Operation and maintenance of all critical facility systems, areas include: Electrical, Mechanical, Building and Control.
  • Monitor the EPMS, BMS, Fire Systems Alarms and respond in a timely manner.
  • Operate, monitor, maintain and respond to abnormal conditions in critical facility systems.
  • Perform preventative, corrective and emergency maintenance on state of the art medium & low voltage, high availability power systems.
  • Ensure all subcontractors are inducted & permitted to work.
  • Ensure that documents library and workshop are clean & tidy always.
  • Provide input into and develop site specific procedures including EOPs, SOPs and MOPS.


The Experience Profile

  • A fully verifiable trade qualification in a relevant engineering discipline & verifiable additional training that is relevant to the proposed environment.
  • Understanding of LV power distribution and loading.
  • A strong understanding and experience of the electrical & mechanical systems used in a data centre environment, including: Feeders, Transformers, Generators, Fuel Systems, Switchgear, UPS Systems, Battery Banks, ATS / STS Units, Chillers, Air Handling Units, CRAC Units, Fire Alarm Systems and Fire Suppression Systems.
  • Experience of complex automatic control equipment, including relay logic, programmable logic controllers (PLCs), building management systems and their integration with the data center infrastructure.
  • Experience of low & medium voltage distribution systems & associated switch gear and protection equipment is preferred.
  • Availability to work shift and to provide emergency cover as required.
  • No prior data center experience is required as full training can be provided
  • Must be able to speak GERMAN to at least conversational level (B1/B2)

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-18,[] +3981226053,https://de.linkedin.com/jobs/view/internship-data-scientist-quantitative-investment-research-m-f-d-at-ultramarin-3981226053?position=3&pageNum=7&refId=STxDxd07Dd06jCDqvbQR%2BQ%3D%3D&trackingId=kmsnLBPPZro%2BRd%2Bw%2FVlMBg%3D%3D&trk=public_jobs_jserp-result_search-card,Internship: Data Scientist - Quantitative Investment Research (m/f/d),Ultramarin,"Berlin, Berlin, Germany","Your Mission + +This internship provides you with the opportunity to become part of our Asset Allocation Team with a focus on data science for quantitative investment strategies. + +The Asset Allocation Team identifies relative performance opportunities in international multi-asset markets for tactical portfolio decisions. Applying Machine Learning to Asset Pricing problems helps us to discover non-linear relationships between the macroeconomic environment, market sentiment, and systemic risk. + +During your internship, you will work closely with our specialists in quant finance and machine learning engineering. Within our supportive team environment you will have the opportunity to take ownership and full end-to-end responsibility. + +Your tasks + + +Work intensively on the development and continuous enhancement of our cutting-edge, ML-based, systematic investment strategies as part of our Asset Allocation Team +Be involved in the further development and implementation (e.g., conducting experiments as well as evaluations) of our hypothesis-driven research agenda along key building blocks (e.g., data, transformations, model(s), targets) relevant for product performance +Work closely with our senior quant finance and machine learning experts +Write clean, efficient, and well-documented code in Python + + +Your Skillset + + +Currently pursuing a degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Economics/Finance with quantitative focus +Solid knowledge of data analytics in Python as well as corresponding state-of-the-art tools and frameworks +Experience in working with data, building quantitative models, data-driven decision-making +Strong foundation in or willingness to learn software engineering principles, and a commitment to developing high-quality code that aligns with industry best practices +Proactive and independent workstyle +Strong interpersonal skills and a real passion for working in a team environment +Passion for quantitative investing +Fluent in spoken and written English, good communication skills +Bonus: Proficiency with Git, the distributed version control system that’s integral to collaborative coding endeavors + + +Why us? + + +An exciting and involving role with significant impact on shaping the future of AI-based sustainable investing +A company culture that is based on a spirit of cooperation and is characterized by a high level of quality awareness, openness and attention to detail in all areas of our work +The opportunity to work in an interdisciplinary team with our experienced quant finance, software engineering and machine learning experts +A modern loft office in Berlin, Prenzlauer Berg, healthy food (including coffee, juices, fruit, vegetables, sandwiches) and high-end hardware from Apple +Internal workshops, unique learning possibilities across a wide range of domains as well as amazing team events +Benefits such as Urban Sports Club or Fitness First as well as corporate benefits + + +About Us + +We are a deep tech pioneer, providing AI-based investment solutions to our clients. Building on the best practices of quantitative asset management we tap the potential of machine learning for sustainable investments on capital market. + +Our interdisciplinary team consists of experts in the fields of finance, computer science, software engineering, machine learning as well as mathematics, physics, and neuroscience. Ultramarin is embedded in the global AI community, through a close exchange with leading universities and as a member of Inquire Europe. + +To date Ultramarin is one of the leading drivers for AI-based analyses and decision-making processes in asset management. Ultramarin has been founded in 2017, is headquartered in Berlin, with additional locations in Frankfurt and Munich, and is backed by leading international business angels and VCs. +Show more ","
+ + + + + +
+
+ Your Mission

This internship provides you with the opportunity to become part of our Asset Allocation Team with a focus on data science for quantitative investment strategies.

The Asset Allocation Team identifies relative performance opportunities in international multi-asset markets for tactical portfolio decisions. Applying Machine Learning to Asset Pricing problems helps us to discover non-linear relationships between the macroeconomic environment, market sentiment, and systemic risk.

During your internship, you will work closely with our specialists in quant finance and machine learning engineering. Within our supportive team environment you will have the opportunity to take ownership and full end-to-end responsibility.

Your tasks

  • Work intensively on the development and continuous enhancement of our cutting-edge, ML-based, systematic investment strategies as part of our Asset Allocation Team
  • Be involved in the further development and implementation (e.g., conducting experiments as well as evaluations) of our hypothesis-driven research agenda along key building blocks (e.g., data, transformations, model(s), targets) relevant for product performance
  • Work closely with our senior quant finance and machine learning experts
  • Write clean, efficient, and well-documented code in Python

Your Skillset

  • Currently pursuing a degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Economics/Finance with quantitative focus
  • Solid knowledge of data analytics in Python as well as corresponding state-of-the-art tools and frameworks
  • Experience in working with data, building quantitative models, data-driven decision-making
  • Strong foundation in or willingness to learn software engineering principles, and a commitment to developing high-quality code that aligns with industry best practices
  • Proactive and independent workstyle
  • Strong interpersonal skills and a real passion for working in a team environment
  • Passion for quantitative investing
  • Fluent in spoken and written English, good communication skills
  • Bonus: Proficiency with Git, the distributed version control system that’s integral to collaborative coding endeavors

Why us?

  • An exciting and involving role with significant impact on shaping the future of AI-based sustainable investing
  • A company culture that is based on a spirit of cooperation and is characterized by a high level of quality awareness, openness and attention to detail in all areas of our work
  • The opportunity to work in an interdisciplinary team with our experienced quant finance, software engineering and machine learning experts
  • A modern loft office in Berlin, Prenzlauer Berg, healthy food (including coffee, juices, fruit, vegetables, sandwiches) and high-end hardware from Apple
  • Internal workshops, unique learning possibilities across a wide range of domains as well as amazing team events
  • Benefits such as Urban Sports Club or Fitness First as well as corporate benefits

About Us

We are a deep tech pioneer, providing AI-based investment solutions to our clients. Building on the best practices of quantitative asset management we tap the potential of machine learning for sustainable investments on capital market.

Our interdisciplinary team consists of experts in the fields of finance, computer science, software engineering, machine learning as well as mathematics, physics, and neuroscience. Ultramarin is embedded in the global AI community, through a close exchange with leading universities and as a member of Inquire Europe.

To date Ultramarin is one of the leading drivers for AI-based analyses and decision-making processes in asset management. Ultramarin has been founded in 2017, is headquartered in Berlin, with additional locations in Frankfurt and Munich, and is backed by leading international business angels and VCs. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3985575220,https://de.linkedin.com/jobs/view/data-engineer-at-annapurna-3985575220?position=4&pageNum=7&refId=STxDxd07Dd06jCDqvbQR%2BQ%3D%3D&trackingId=B5x6uFff7jihT1vXuyp1rQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer,Annapurna,"Berlin, Germany","My client are at the forefront of innovation, leveraging cutting-edge technology to drive business solutions. Their team is dedicated to developing robust, scalable, and efficient systems that make a difference. They are looking for a talented Data Engineer who is passionate about technology and eager to join team. + + + + +Key Responsibilities: + +Design, develop, and maintain robust and scalable microservice architecture and distributed systems. +Create and manage RESTful APIs to support various applications. +Work with large-scale streaming and big data technologies to process and analyze vast amounts of data. +Implement and promote best practices in TDD, BDD, and clean code principles. +Collaborate effectively in an agile development environment to deliver high-quality software solutions. +Communicate proficiently in German. + + + + +Must-Have Skills: + +Minimum of 3 years of software engineering experience, primarily in Python. +Proven experience in developing microservice architecture, distributed systems, and RESTful APIs. +Extensive knowledge and experience in streaming and big data technologies. +Strong understanding and application of TDD, BDD, and clean code principles. +Professional proficiency in German. +Bachelor’s degree in a STEM field. + + + + +Bonus Points for: + +Proficiency in Apache Flink and Apache Kafka. +Familiarity with cloud systems. + + + + +What We Offer: + +A dynamic and innovative work environment. +Opportunities for professional growth and development. +Competitive salary and benefits package. +Flexible working hours and the possibility of remote work. +The chance to work on exciting projects with a talented and passionate team. + + + + +How to Apply: If you are a dedicated Data Engineer with a passion for technology and a knack for problem-solving, they want to hear from you. + + + + +Please apply or send your cv to j.oniah@annapurnarecruitment.com. + +Show more ","
+ + + + + +
+
+

My client are at the forefront of innovation, leveraging cutting-edge technology to drive business solutions. Their team is dedicated to developing robust, scalable, and efficient systems that make a difference. They are looking for a talented Data Engineer who is passionate about technology and eager to join team.


Key Responsibilities:

  • Design, develop, and maintain robust and scalable microservice architecture and distributed systems.
  • Create and manage RESTful APIs to support various applications.
  • Work with large-scale streaming and big data technologies to process and analyze vast amounts of data.
  • Implement and promote best practices in TDD, BDD, and clean code principles.
  • Collaborate effectively in an agile development environment to deliver high-quality software solutions.
  • Communicate proficiently in German.


Must-Have Skills:

  • Minimum of 3 years of software engineering experience, primarily in Python.
  • Proven experience in developing microservice architecture, distributed systems, and RESTful APIs.
  • Extensive knowledge and experience in streaming and big data technologies.
  • Strong understanding and application of TDD, BDD, and clean code principles.
  • Professional proficiency in German.
  • Bachelor’s degree in a STEM field.


Bonus Points for:

  • Proficiency in Apache Flink and Apache Kafka.
  • Familiarity with cloud systems.


What We Offer:

  • A dynamic and innovative work environment.
  • Opportunities for professional growth and development.
  • Competitive salary and benefits package.
  • Flexible working hours and the possibility of remote work.
  • The chance to work on exciting projects with a talented and passionate team.


How to Apply: If you are a dedicated Data Engineer with a passion for technology and a knack for problem-solving, they want to hear from you.


Please apply or send your cv to j.oniah@annapurnarecruitment.com.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3962896396,https://de.linkedin.com/jobs/view/senior-data-product-analyst-dia-analytics-platform-all-genders-at-zalando-3962896396?position=5&pageNum=7&refId=STxDxd07Dd06jCDqvbQR%2BQ%3D%3D&trackingId=7TJW0bIwx8vkDE%2BGqAK1Gg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data/Product Analyst DIA Analytics Platform (all genders),Zalando,"Berlin, Berlin, Germany","As a Senior Data/Product Analyst, you will play a crucial role in shaping and delivering data products that meet the needs of various product domains within our organization. You will be responsible for ensuring that these products adhere to agreed standards and leverage cutting-edge technology. Your expertise will help coordinate and enforce best practices, enabling stakeholders to perform self-service analytics and reporting efficiently. In this position you will be closely collaborating with product managers, embedded product analysts and data engineers. If you are passionate about building advanced data products and working with leading technology, we would love to hear from you! + +While being closely connected to your stakeholders, you will benefit from working in a team of data and product analysts who share similar challenges across the company. This will allow you to learn and develop your skills in a collaborative and supportive environment. + + +WHERE YOUR EXPERTISE IS NEEDED + + + + +Produce overarching data products for use across product domains, ensuring alignment with agreed standards and technology +Coordinate and enforce best practices in the production of data products, tailored to meet stakeholders’ specific needs +Empower embedded product analysts and their stakeholders to utilize self-service analytics and reporting tools, including the maintenance of these tools +Maintain trust in our data products by defining and implementing customized data quality tests +Streamline central reporting initiatives originating from embedded product analytics teams, ensuring consistency and efficiency +Continuously assess the impact of our data products and make necessary adjustments to enhance their effectiveness + + + +What We’re Looking For + + + +Have 4+ years of relevant working experience in a data-intensive analytics role where you learned how to work with raw data, such as in AnalyticsOps, Digital Analytics, Product Analytics, or Business Intelligence, preferably in e-commerce +BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Data Science or similar +Have experience working with a diverse range of stakeholders and have excellent communication and presentation skills +Strong proficiency with SQL - based languages, preferably in BigQuery or Redshift +Are proficient in Python or similar programming languages for data transformation and analyses +Have experience working with dbt and Airflow +Have experience in data modeling, developing data pipelines and data visualization + + + +Additionally, It Would Be Preferred If You + + + +Have experience in tracking and analysis of onsite user behavior (for example using Google Analytics or a similar service) +Are familiar with dashboarding tools, such as Tableau or MicroStrategy +Have experience working with data quality tools + + + +OUR OFFER + +Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. + + + +Employee shares program +40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners +2 paid volunteering days a year +Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration +Work from abroad for up to 30 working days a year +27 days of vacation a year to start +Relocation assistance available (subject to prior agreement) +Family services, including counselling and support +Health and wellbeing options (including Gympass) +Mental health support and coaching available +Drive your development through our training platform and biannual peer-to-peer review + + + +Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us + +If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles! +Show more ","
+ + + + + +
+
+ As a Senior Data/Product Analyst, you will play a crucial role in shaping and delivering data products that meet the needs of various product domains within our organization. You will be responsible for ensuring that these products adhere to agreed standards and leverage cutting-edge technology. Your expertise will help coordinate and enforce best practices, enabling stakeholders to perform self-service analytics and reporting efficiently. In this position you will be closely collaborating with product managers, embedded product analysts and data engineers. If you are passionate about building advanced data products and working with leading technology, we would love to hear from you!

While being closely connected to your stakeholders, you will benefit from working in a team of data and product analysts who share similar challenges across the company. This will allow you to learn and develop your skills in a collaborative and supportive environment.


WHERE YOUR EXPERTISE IS NEEDED



  • Produce overarching data products for use across product domains, ensuring alignment with agreed standards and technology
  • Coordinate and enforce best practices in the production of data products, tailored to meet stakeholders’ specific needs
  • Empower embedded product analysts and their stakeholders to utilize self-service analytics and reporting tools, including the maintenance of these tools
  • Maintain trust in our data products by defining and implementing customized data quality tests
  • Streamline central reporting initiatives originating from embedded product analytics teams, ensuring consistency and efficiency
  • Continuously assess the impact of our data products and make necessary adjustments to enhance their effectiveness


What We’re Looking For


  • Have 4+ years of relevant working experience in a data-intensive analytics role where you learned how to work with raw data, such as in AnalyticsOps, Digital Analytics, Product Analytics, or Business Intelligence, preferably in e-commerce
  • BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Data Science or similar
  • Have experience working with a diverse range of stakeholders and have excellent communication and presentation skills
  • Strong proficiency with SQL - based languages, preferably in BigQuery or Redshift
  • Are proficient in Python or similar programming languages for data transformation and analyses
  • Have experience working with dbt and Airflow
  • Have experience in data modeling, developing data pipelines and data visualization


Additionally, It Would Be Preferred If You


  • Have experience in tracking and analysis of onsite user behavior (for example using Google Analytics or a similar service)
  • Are familiar with dashboarding tools, such as Tableau or MicroStrategy
  • Have experience working with data quality tools


OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.


  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counselling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Drive your development through our training platform and biannual peer-to-peer review


Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-20,[] +3966882174,https://de.linkedin.com/jobs/view/senior-data-engineer-at-payrails-3966882174?position=6&pageNum=7&refId=STxDxd07Dd06jCDqvbQR%2BQ%3D%3D&trackingId=VX87kPi2p6gj85Fsz1PmJw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Engineer,Payrails,"Berlin, Berlin, Germany","The Company + +Payrails is an innovative technology company with a team that has many years of experience in the payment industry and a real-life understanding of the merchants’ needs. We have seen the complexity firsthand and we have learned from all the challenges we've faced. Now we want to help leading technology companies around the world accept payments and build financial services with minimal upfront investments. + +Our vision at Payrails is to reimagine payments. We do this by removing heavy reliance on Engineering efforts using composable building blocks that put the control firmly in the hands of our customers. We exist to help our customers become more productive and flexible, impacting directly on their ability to grow. + +We are joined in our mission by top-tier clients Andreessen Horowitz, HV Capital, EQT and General Catalyst alongside a great cast of knowledgeable angel investors to enable us to solve the growing complexity of payments. + +At Payrails, we are committed to building a team full of the most talented people. Excellence is part of our values and we understand that in order to achieve this, we need to build an environment where skilled people can work openly, collaboratively, and with the utmost trust in one another. We believe people thrive the most when they are fully aware of what the business is trying to achieve, why it is important to the market, and what challenges lie in the way to reaching our goals. In such an environment we believe people can truly excel, grow and enjoy working together. We try hard to be a company where everyone is inspired and feels a sense of responsibility to do the right thing to help us bring our vision to life. Succeeding with us is about finding solutions to the most pressing problems and executing them effectively. + +Your Team + +Payrails is a true tech company: our Product is designed by engineers for engineers. We believe in quality before delivery: our mission is to provide an outstanding Payment experience with a strong eye on automation, resilience, and scalability. Our engineering culture is focused on 3 main pillars: + + +We aim for operational excellence +We promote open communication and quick feedback +We share knowledge and learn continuously + + +Our Tech team offers you the chance to work alongside a group of highly ambitious and knowledgeable Engineers while being faced with complex problems that affect customers on a global scale. + +What You will be doing + + +Work alongside a talented team of analysts, data scientists and engineers to build data products and services that meet business requirements. +Design, develop and maintain robust, scalable and observable batch and real-time data pipelines. +Architect, build and maintain the data infrastructure at Payrails. +Advocate for and implement data governance and security best practices. +Contribute to tooling that improves data quality, CI/CD workflows, and data observability. +Collaborate with cross-functional teams to understand requirements and design optimal solutions. + + +You'll be great for this role if + + +You have extensive experience in data engineering roles building reliable, scalable and observable production-grade data pipelines and services. +You have strong proficiency in Python. Experience with GoLang is a plus. +You are proficient in SQL, data modelling and operating common OLTP (e.g. PostgresSQL) and OLAP databases (e.g. Snowflake, Bigquery) at scale. +You develop and maintain data pipelines using workflow management platforms such as Apache Airflow. +You are knowledgeable of containerization technologies such as Docker and container orchestration platforms like Kubernetes. +You communicate effectively and are proficient in English. +You work independently and collaboratively in a fast-paced environment. +Experience with real-time streaming technologies (e.g. Kafka, Kinesis) and distributed stream processing technologies (e.g. Apache Flink, Apache Beam, Kafka Streams) is an advantage. +Familiarity working with infrastructure as code (e.g. Terraform) is preferred. +FinTech or payments domain experience is a plus. + + +Why You should join Payrails + + +You can truly create your own path by taking responsibility and implementing your own ideas +We offer visa and relocation support to you and your family where required +We offer a hybrid working environment +You have 27 annual vacation days + 1 day of paid birthday leave for you to have fun and party without any worries! +We get together regularly for team lunches and events +You help us shape the future of payments + + +At Payrails, we prioritize a culture of inclusivity and diversity, evaluating candidates solely based on their skills and potential, regardless of age, gender, identity, ethnicity, sexual orientation, disability status, or religion. We welcome applications from individuals of all backgrounds and identities. In line with our commitment to fairness, we kindly request applicants to refrain from including personal details such as a picture, age, or marital status in their CVs. +Show more ","
+ + + + + +
+
+ The Company

Payrails is an innovative technology company with a team that has many years of experience in the payment industry and a real-life understanding of the merchants’ needs. We have seen the complexity firsthand and we have learned from all the challenges we've faced. Now we want to help leading technology companies around the world accept payments and build financial services with minimal upfront investments.

Our vision at Payrails is to reimagine payments. We do this by removing heavy reliance on Engineering efforts using composable building blocks that put the control firmly in the hands of our customers. We exist to help our customers become more productive and flexible, impacting directly on their ability to grow.

We are joined in our mission by top-tier clients Andreessen Horowitz, HV Capital, EQT and General Catalyst alongside a great cast of knowledgeable angel investors to enable us to solve the growing complexity of payments.

At Payrails, we are committed to building a team full of the most talented people. Excellence is part of our values and we understand that in order to achieve this, we need to build an environment where skilled people can work openly, collaboratively, and with the utmost trust in one another. We believe people thrive the most when they are fully aware of what the business is trying to achieve, why it is important to the market, and what challenges lie in the way to reaching our goals. In such an environment we believe people can truly excel, grow and enjoy working together. We try hard to be a company where everyone is inspired and feels a sense of responsibility to do the right thing to help us bring our vision to life. Succeeding with us is about finding solutions to the most pressing problems and executing them effectively.

Your Team

Payrails is a true tech company: our Product is designed by engineers for engineers. We believe in quality before delivery: our mission is to provide an outstanding Payment experience with a strong eye on automation, resilience, and scalability. Our engineering culture is focused on 3 main pillars:

  • We aim for operational excellence
  • We promote open communication and quick feedback
  • We share knowledge and learn continuously

Our Tech team offers you the chance to work alongside a group of highly ambitious and knowledgeable Engineers while being faced with complex problems that affect customers on a global scale.

What You will be doing

  • Work alongside a talented team of analysts, data scientists and engineers to build data products and services that meet business requirements.
  • Design, develop and maintain robust, scalable and observable batch and real-time data pipelines.
  • Architect, build and maintain the data infrastructure at Payrails.
  • Advocate for and implement data governance and security best practices.
  • Contribute to tooling that improves data quality, CI/CD workflows, and data observability.
  • Collaborate with cross-functional teams to understand requirements and design optimal solutions.

You'll be great for this role if

  • You have extensive experience in data engineering roles building reliable, scalable and observable production-grade data pipelines and services.
  • You have strong proficiency in Python. Experience with GoLang is a plus.
  • You are proficient in SQL, data modelling and operating common OLTP (e.g. PostgresSQL) and OLAP databases (e.g. Snowflake, Bigquery) at scale.
  • You develop and maintain data pipelines using workflow management platforms such as Apache Airflow.
  • You are knowledgeable of containerization technologies such as Docker and container orchestration platforms like Kubernetes.
  • You communicate effectively and are proficient in English.
  • You work independently and collaboratively in a fast-paced environment.
  • Experience with real-time streaming technologies (e.g. Kafka, Kinesis) and distributed stream processing technologies (e.g. Apache Flink, Apache Beam, Kafka Streams) is an advantage.
  • Familiarity working with infrastructure as code (e.g. Terraform) is preferred.
  • FinTech or payments domain experience is a plus.

Why You should join Payrails

  • You can truly create your own path by taking responsibility and implementing your own ideas
  • We offer visa and relocation support to you and your family where required
  • We offer a hybrid working environment
  • You have 27 annual vacation days + 1 day of paid birthday leave for you to have fun and party without any worries!
  • We get together regularly for team lunches and events
  • You help us shape the future of payments

At Payrails, we prioritize a culture of inclusivity and diversity, evaluating candidates solely based on their skills and potential, regardless of age, gender, identity, ethnicity, sexual orientation, disability status, or religion. We welcome applications from individuals of all backgrounds and identities. In line with our commitment to fairness, we kindly request applicants to refrain from including personal details such as a picture, age, or marital status in their CVs. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-08,[] +3994584899,https://de.linkedin.com/jobs/view/senior-data-specialist-all-genders-at-zalando-3994584899?position=10&pageNum=7&refId=STxDxd07Dd06jCDqvbQR%2BQ%3D%3D&trackingId=0J0xEpRHUO5a%2F%2F09S7vP8Q%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Specialist (all genders),Zalando,"Berlin, Berlin, Germany","Description + + +INCLUSIVE BY DESIGN + + +At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. + +We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. + +do.BETTER - our diversity & inclusion strategy https //corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy + +Our employee resource groups https //corporate.zalando.com/en/our-impact/our-employee-resource-groups + + +WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)THE ROLE & THE TEAM + + +‬ZEOS is our logistic division which is currently offering to our partners‬‭ Zalando Fulfillment Solutions‬ (ZFS), Zalando Shipping Solutions (ZSS), Zalando Returns Solutions (ZRS), Zalando Premium‬ Logistics (ZPL) and Multi-Channel Fulfillment (MCF).‬ + +Our team’s goal is to drive data-driven decision-making via business intelligence initiatives within the‬ organization, enabling informed insights and reports to all of our stakeholders. + +We are seeking a highly skilled and passionate Senior Data Specialist to join our very diverse and easy going‭ team. Everyone’s unique background contributes to the success of the team, building up a strong‬‭ knowledge base both in terms of technical skills and camaraderie.‬ + + +WHY YOU SHOULD BE INTERESTED + + + + +Develop and maintain advanced reports, dashboards, and scorecards using different‬‭ visualization methods to provide insightful business intelligence.‬ +‬‭Collaborate with cross-functional teams to understand business requirements and translate‬ them into effective BI solutions.‬ +‬‭Perform data analysis, profiling, and data cleansing to ensure accuracy and completeness of‬ information.‬ +‬‭Write and optimize SQL queries for data extraction and analysis.‬ +‬‭Work with stakeholders to identify key performance indicators (KPIs) and create meaningful‬ visualizations that drive business decisions.‬ +‬‭Conduct regular data validation and quality checks to ensure the integrity of BI solutions. +‬‭Provide training and support to end-users on BI tools and best practices.‬ + + + + +WE'D LOVE TO MEET YOU IF... + + + + +Bachelor's degree in Computer Science, Information Systems, or a related field.‬ +‬‭Established track record using Databricks & Airflow‬ +‬‭Proven experience as a Business Intelligence Analyst with a focus on MicroStrategy.‬ +‬‭Strong programming skills with proficiency in languages such as Python, R, or Java.‬ +‬‭In-depth knowledge of SQL for data querying and manipulation.‬ +‬‭Experience with data acquisition and integration from various sources.‬ +‬‭Solid understanding of database design, data warehousing, and ETL processes.‬ +‬‭Excellent analytical and problem-solving skills.‬ +‬‭Strong communication and interpersonal skills to effectively collaborate with stakeholders.‬ +‬‭Ability to work independently and in a team-oriented, collaborative environment.‬ +‬‭Detail-oriented with a commitment to producing high-quality work.‬ +‬‭Familiarity with other visualization and dashboarding tools such as Tableau, Power BI, or‬ QlikView is a plus.‬ + + + +‭ + +‭ + + +OUR OFFER + + +Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer. + + + +Employee shares program +40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners +2 paid volunteering days a year +Hybrid working model with 60% remote per week, actual practice is up to each team to best support their collaboration +Work from abroad for up to 30 working days a year +27 days of vacation a year (for Zalando SE) +Relocation assistance available (subject to prior agreement) +Family services, including counseling and support +Health and wellbeing options (including Gympass) +Mental health support and coaching available + + + +Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us + +‭ +Show more ","
+ + + + + +
+
+ Description


INCLUSIVE BY DESIGN


At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.

We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy https //corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy

Our employee resource groups https //corporate.zalando.com/en/our-impact/our-employee-resource-groups


WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)THE ROLE & THE TEAM


‬ZEOS is our logistic division which is currently offering to our partners‬‭ Zalando Fulfillment Solutions‬ (ZFS), Zalando Shipping Solutions (ZSS), Zalando Returns Solutions (ZRS), Zalando Premium‬ Logistics (ZPL) and Multi-Channel Fulfillment (MCF).‬

Our team’s goal is to drive data-driven decision-making via business intelligence initiatives within the‬ organization, enabling informed insights and reports to all of our stakeholders.

We are seeking a highly skilled and passionate Senior Data Specialist to join our very diverse and easy going‭ team. Everyone’s unique background contributes to the success of the team, building up a strong‬‭ knowledge base both in terms of technical skills and camaraderie.‬


WHY YOU SHOULD BE INTERESTED



  • Develop and maintain advanced reports, dashboards, and scorecards using different‬‭ visualization methods to provide insightful business intelligence.‬
  • ‬‭Collaborate with cross-functional teams to understand business requirements and translate‬ them into effective BI solutions.‬
  • ‬‭Perform data analysis, profiling, and data cleansing to ensure accuracy and completeness of‬ information.‬
  • ‬‭Write and optimize SQL queries for data extraction and analysis.‬
  • ‬‭Work with stakeholders to identify key performance indicators (KPIs) and create meaningful‬ visualizations that drive business decisions.‬
  • ‬‭Conduct regular data validation and quality checks to ensure the integrity of BI solutions.
  • ‬‭Provide training and support to end-users on BI tools and best practices.‬



WE'D LOVE TO MEET YOU IF...



  • Bachelor's degree in Computer Science, Information Systems, or a related field.‬
  • ‬‭Established track record using Databricks & Airflow‬
  • ‬‭Proven experience as a Business Intelligence Analyst with a focus on MicroStrategy.‬
  • ‬‭Strong programming skills with proficiency in languages such as Python, R, or Java.‬
  • ‬‭In-depth knowledge of SQL for data querying and manipulation.‬
  • ‬‭Experience with data acquisition and integration from various sources.‬
  • ‬‭Solid understanding of database design, data warehousing, and ETL processes.‬
  • ‬‭Excellent analytical and problem-solving skills.‬
  • ‬‭Strong communication and interpersonal skills to effectively collaborate with stakeholders.‬
  • ‬‭Ability to work independently and in a team-oriented, collaborative environment.‬
  • ‬‭Detail-oriented with a commitment to producing high-quality work.‬
  • ‬‭Familiarity with other visualization and dashboarding tools such as Tableau, Power BI, or‬ QlikView is a plus.‬







OUR OFFER


Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.


  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with 60% remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year (for Zalando SE)
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available


Learn all about Zalando and our values here https //jobs.zalando.com/en/?gh_src=22377bdd1us

‭ +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3970421705,https://de.linkedin.com/jobs/view/senior-data-engineer-m-f-d-at-cbre-germany-3970421705?position=1&pageNum=10&refId=B2QxKobv7rmugFCVlGHL8Q%3D%3D&trackingId=cocidX9V%2BMhzNyAXFUgz9g%3D%3D&trk=public_jobs_jserp-result_search-card,(Senior) Data Engineer (m/f/d),CBRE Germany,"Berlin, Berlin, Germany","OUR EMPLOYEES – OUR SUCCESS + +Our growing Data Intelligence & Digital Enablement team is responsible for data analytics, product management & digital enablement support for all CBRE locations in Germany. Using innovative solutions, we implement business-relevant use cases and support our operational teams in expanding, maintaining, analyzing and visualizing a unique real estate data landscape. We look forward to strengthening our dynamic and international team. + +To support our ambitious business goals we go on investing in our growing cloud-based data platform. For this we need committed talents who support the extension and enhancement of our databases and data pipelines in close cooperation with the German business units as well as the data teams in Continental Europe, USA & India. + +Therefore, we are looking for an experienced (Senior) Data Engineer at Hamburg, Frankfurt am Main or Berlin as soon as possible. You have the chance to actively shape our constantly changing, unique real estate data landscape and to become part of a dynamic and international team. + +About Cbre + +CBRE is the world’s largest commercial real estate services and investment firm (based on 2023 revenue). The company has more than 130,000 employees serving clients in more than 100 countries. CBRE serves a diverse range of clients with an integrated suite of services - over the entire life cycle of a property. + +YOUR MISSION + + +Administration, maintenance, monitoring, optimization (especially performance and stability) of a cloud-based Postgres database / data warehouse based on various internal and external data sources +Preparation & support of a large migration and refactoring project of a Postgres database / data warehouse to a modern Snowflake Cloud Data Platform +Creation, further development, maintenance, monitoring and documentation of data delivery pipelines for enterprise applications, self-service data analytics applications and business intelligence dashboards +Ensuring data security around highly sensitive, NDA-protected data through best practice permission management in the database +Debugging applications (level 2 or 3 support) and completing tests for performance optimization +Independent coordination and implementation of technical requirements with data analysts as well as technical architects and developers +Technical support for the ongoing development of the central, cross-divisional data model, which includes customer, property, transaction, and external market data +Technical implementation of critical data cleansing projects using internal and external reference data sets as well as data quality KPIs defined by the business +Close co-operation with international developer teams + + +YOUR PROFILE + + +Minimum Bachelor's degree in computer science or another relevant field +Proven professional experience (5+ years) as a cloud backend developer as well as sound experience with DevSecOps development lifecycle management (CI / CD, automation / configuration, monitoring / logging / alerting, routing / DNS / load balancing ...) +Deep knowledge & experience in the design, development and implementation of data platforms using Snowflake +Practical experience/proficiency with Python, Linux, Bash, Postgres, dbt +Expertise with SQL preferably PostgreSQL and Snowflake functions and features +Hands-on experience with data modeling, data cleansing and data quality management +Willingness to learn and practice new technologies depending on the project requirements +Self-starters with excellent analytical skills and the ability to articulate complex data concepts in a clear and understandable manner +Ability to work in a team with a willingness to solve problems and the motivation to work in an international or virtual team +Very good knowledge in English & German, both spoken and written + + +OUR OFFER + + +Become a part of our open, cooperative and dynamic company culture with flat hierarchies and short decision-making processes +Become an integral part of our team, in which your ideas are greatly valued +Work-Life balance is important to us, which is why you can work flexibly and in part remotely +""NEW WORK"": Our cutting-edge offices are equipped with the latest technologies and are designed by our workplace colleagues based on the latest concepts and ideas – all to boost efficiency and collaboration. +We are continuing to expand our ESG roadmap and offer our employees the opportunity to protect the environment, while staying healthy by using the employee benefit scheme “JobRad” +Get to know your colleagues better at regular employee events and create shared experiences in a relaxed atmosphere + + +ARE YOU READY TO JOIN? + +Our employees appreciate the responsibility, the involvement in exciting projects, the various possibilities for further developments and the positive working atmosphere. Are you interested in working with us? We look forward to receiving your application in English. + + +Your Career Builder, Regardless of your gEnder +Show more ","
+ + + + + +
+
+ OUR EMPLOYEES – OUR SUCCESS

Our growing Data Intelligence & Digital Enablement team is responsible for data analytics, product management & digital enablement support for all CBRE locations in Germany. Using innovative solutions, we implement business-relevant use cases and support our operational teams in expanding, maintaining, analyzing and visualizing a unique real estate data landscape. We look forward to strengthening our dynamic and international team.

To support our ambitious business goals we go on investing in our growing cloud-based data platform. For this we need committed talents who support the extension and enhancement of our databases and data pipelines in close cooperation with the German business units as well as the data teams in Continental Europe, USA & India.

Therefore, we are looking for an experienced (Senior) Data Engineer at Hamburg, Frankfurt am Main or Berlin as soon as possible. You have the chance to actively shape our constantly changing, unique real estate data landscape and to become part of a dynamic and international team.

About Cbre

CBRE is the world’s largest commercial real estate services and investment firm (based on 2023 revenue). The company has more than 130,000 employees serving clients in more than 100 countries. CBRE serves a diverse range of clients with an integrated suite of services - over the entire life cycle of a property.

YOUR MISSION

  • Administration, maintenance, monitoring, optimization (especially performance and stability) of a cloud-based Postgres database / data warehouse based on various internal and external data sources
  • Preparation & support of a large migration and refactoring project of a Postgres database / data warehouse to a modern Snowflake Cloud Data Platform
  • Creation, further development, maintenance, monitoring and documentation of data delivery pipelines for enterprise applications, self-service data analytics applications and business intelligence dashboards
  • Ensuring data security around highly sensitive, NDA-protected data through best practice permission management in the database
  • Debugging applications (level 2 or 3 support) and completing tests for performance optimization
  • Independent coordination and implementation of technical requirements with data analysts as well as technical architects and developers
  • Technical support for the ongoing development of the central, cross-divisional data model, which includes customer, property, transaction, and external market data
  • Technical implementation of critical data cleansing projects using internal and external reference data sets as well as data quality KPIs defined by the business
  • Close co-operation with international developer teams

YOUR PROFILE

  • Minimum Bachelor's degree in computer science or another relevant field
  • Proven professional experience (5+ years) as a cloud backend developer as well as sound experience with DevSecOps development lifecycle management (CI / CD, automation / configuration, monitoring / logging / alerting, routing / DNS / load balancing ...)
  • Deep knowledge & experience in the design, development and implementation of data platforms using Snowflake
  • Practical experience/proficiency with Python, Linux, Bash, Postgres, dbt
  • Expertise with SQL preferably PostgreSQL and Snowflake functions and features
  • Hands-on experience with data modeling, data cleansing and data quality management
  • Willingness to learn and practice new technologies depending on the project requirements
  • Self-starters with excellent analytical skills and the ability to articulate complex data concepts in a clear and understandable manner
  • Ability to work in a team with a willingness to solve problems and the motivation to work in an international or virtual team
  • Very good knowledge in English & German, both spoken and written

OUR OFFER

  • Become a part of our open, cooperative and dynamic company culture with flat hierarchies and short decision-making processes
  • Become an integral part of our team, in which your ideas are greatly valued
  • Work-Life balance is important to us, which is why you can work flexibly and in part remotely
  • ""NEW WORK"": Our cutting-edge offices are equipped with the latest technologies and are designed by our workplace colleagues based on the latest concepts and ideas – all to boost efficiency and collaboration.
  • We are continuing to expand our ESG roadmap and offer our employees the opportunity to protect the environment, while staying healthy by using the employee benefit scheme “JobRad”
  • Get to know your colleagues better at regular employee events and create shared experiences in a relaxed atmosphere

ARE YOU READY TO JOIN?

Our employees appreciate the responsibility, the involvement in exciting projects, the various possibilities for further developments and the positive working atmosphere. Are you interested in working with us? We look forward to receiving your application in English.

  • Your Career Builder, Regardless of your gEnder
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-11,[] +3973679916,https://de.linkedin.com/jobs/view/data-engineer-m-w-d-at-cbtw-3973679916?position=3&pageNum=10&refId=B2QxKobv7rmugFCVlGHL8Q%3D%3D&trackingId=ZD%2FduiEfPD0ToDxU%2FpEKSw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineer (m/w/d),CBTW,"Berlin, Berlin, Germany","Willkommen bei CBTW! Wir sind ein innovatives Team mit über 3.000 Mitarbeitern in 21 Ländern und führend in den Bereichen Strategie & Governance, Software-Engineering, Datenanalyse & KI und mehr. + +Als Mitglied unseres Teams bei CBTW arbeitest Du in einem inspirierenden Umfeld an anspruchsvollen Projekten. Wir fördern die Entwicklung der Experten von morgen und schätzen Deine Ideen. Wenn Du bereit bist, die Zukunft der datengetriebenen Transformation mit einem hochmotivierten Team zu gestalten, bewirb Dich jetzt bei CBTW! Zusammen schaffen wir Großartiges. + +Aufgaben + + +Entwicklung und Umsetzung von Business Intelligence Strategien +Projekte von der Planung und Konzeption bis hin zur Realisierung von (Big) Data Architekturen, Prozessstrecken, Machine Learning und Analytics-Lösungen +Optimierung bestehender BI und Big Data Landschaften und Implementierung verschiedenster Datenstrukturen und -prozesse +Schnittstellenfunktion zwischen operativen Fachbereichen und der technischen Entwicklung +Moderne Data Lake Ansätze entwickeln, neue Technologien kennenlernen und Kund:innen beim Aufbau von On-Premise, Cloud- & IoT-Architekturen unterstützen + + + +Dieses Wissen bietet unseren Kund:innen echten Mehrwert. Du bist das Bindeglied zwischen IT und Business. Du konzipierst. Du realisierst. Du treibst voran. + +Qualifikation + + +Abschluss vorzugsweise in (Wirtschafts-) Informatik, (Wirtschafts-) Mathematik, Statistik, Physik oder einer vergleichbaren Studienrichtung +Nice-to have: Erfahrung im Umfeld Data Engineering, Data Warehousing, Big Data Architekturen, ETL/ELT, Business Intelligence, Analytics und/oder Data Science +Verhandlungssichere (C1) Deutsch- und Englischkenntnisse +Reisebereitschaft innerhalb der DACH Region + + + +Es ist unwahrscheinlich, dass jede:r Kandidat:in all diese Anforderungen erfüllt. Wenn Deine Erfahrungen anders sind und Du glaubst, dass Du einen Mehrwert für die Position bieten kannst, lass uns gerne darüber sprechen! + +Benefits + +Unser Versprechen + +Wir bieten Dir eine Kultur, die von unseren Führungsleitsätzen angetrieben wird: unternehmerisch, ergebnisorientiert, Eigenverantwortung fördernd und sich gegenseitig zum Erfolg verhelfend. Wir schaffen Transparenz über Unternehmensziele, Zusammenarbeit und Unterstützung durch ein internationales Team auf Augenhöhe. Wir leben Austausch, Teamgeist und einen respektvollen Umgang miteinander. Das verbindet uns hierarchieübergreifend – auch im Home-Office. So erhielten wir in 2022, 2023 und 2024 die kununu Auszeichnung „TOP Company“. + +Das erwartet Dich bei uns: + + +Onboarding: Vernetzung ab dem ersten Tag - Welcome Day, Hello Drink, Mentoring-Programm. +Entwicklung: Individuelle Förderung Deiner Stärken - Regelmäßige Feedbackgespräche, Karrierepfade, Career Committees, Online-Trainingskatalog, internationales Arbeiten mit verschiedenen Kulturen. +Work-Life-Balance: Raum für Deine Lebensplanung - Sabbatical, Remote Working aus dem Ausland, flexible Arbeitsmodelle, Elternzeitprogramme, 30 Tage Urlaub, Feiertagskalender Baden-Württemberg. +Nachhaltigkeit: Unsere Arbeit hat einen positiven Einfluss auf die Umwelt und die Gesellschaft - wir machen unsere Lösungen und Zusammenarbeit jeden Tag nachhaltiger. +Events: Fachliche und unterhaltsame Events - Summer-Tech-Event, lokale Afterworks, Sportevents, Teamevents, Weihnachtsfeiern. +Netzwerken: Verbinde Dich mit internationalen Kolleg:innen - Communities, Lunch Breaks, interne Know-How Sessions. +Fehlerkultur: Teste Dich aus und lerne aus Fehlern - Wir geben Dir Freiraum, mit neuesten Technologien zu arbeiten. +Prämien: Zahlreiche Prämien für zusätzliches Engagement. +Weitere Vorteile: Digitales Mobilitätsbudget, Corporate Benefits, Jobfahrrad, Deutschlandticket, betriebliches Gesundheitsmanagement. + + + +Schau Dir unsere CBTW Spotify Playlist an und erhalte einen ersten musikalischen Eindruck von unserem Team: https://open.spotify.com/playlist/44kgWZRt5jmmgppH0qGszg?si=L312ch\_9SMKsCKBcN-EB\_A + +Aber genug von uns, jetzt bist Du an der Reihe - Wir freuen uns darauf, Dich kennenzulernen ! +Show more ","
+ + + + + +
+
+ Willkommen bei CBTW! Wir sind ein innovatives Team mit über 3.000 Mitarbeitern in 21 Ländern und führend in den Bereichen Strategie & Governance, Software-Engineering, Datenanalyse & KI und mehr.

Als Mitglied unseres Teams bei CBTW arbeitest Du in einem inspirierenden Umfeld an anspruchsvollen Projekten. Wir fördern die Entwicklung der Experten von morgen und schätzen Deine Ideen. Wenn Du bereit bist, die Zukunft der datengetriebenen Transformation mit einem hochmotivierten Team zu gestalten, bewirb Dich jetzt bei CBTW! Zusammen schaffen wir Großartiges.

Aufgaben

  • Entwicklung und Umsetzung von Business Intelligence Strategien
  • Projekte von der Planung und Konzeption bis hin zur Realisierung von (Big) Data Architekturen, Prozessstrecken, Machine Learning und Analytics-Lösungen
  • Optimierung bestehender BI und Big Data Landschaften und Implementierung verschiedenster Datenstrukturen und -prozesse
  • Schnittstellenfunktion zwischen operativen Fachbereichen und der technischen Entwicklung
  • Moderne Data Lake Ansätze entwickeln, neue Technologien kennenlernen und Kund:innen beim Aufbau von On-Premise, Cloud- & IoT-Architekturen unterstützen


Dieses Wissen bietet unseren Kund:innen echten Mehrwert. Du bist das Bindeglied zwischen IT und Business. Du konzipierst. Du realisierst. Du treibst voran.

Qualifikation

  • Abschluss vorzugsweise in (Wirtschafts-) Informatik, (Wirtschafts-) Mathematik, Statistik, Physik oder einer vergleichbaren Studienrichtung
  • Nice-to have: Erfahrung im Umfeld Data Engineering, Data Warehousing, Big Data Architekturen, ETL/ELT, Business Intelligence, Analytics und/oder Data Science
  • Verhandlungssichere (C1) Deutsch- und Englischkenntnisse
  • Reisebereitschaft innerhalb der DACH Region


Es ist unwahrscheinlich, dass jede:r Kandidat:in all diese Anforderungen erfüllt. Wenn Deine Erfahrungen anders sind und Du glaubst, dass Du einen Mehrwert für die Position bieten kannst, lass uns gerne darüber sprechen!

Benefits

Unser Versprechen

Wir bieten Dir eine Kultur, die von unseren Führungsleitsätzen angetrieben wird: unternehmerisch, ergebnisorientiert, Eigenverantwortung fördernd und sich gegenseitig zum Erfolg verhelfend. Wir schaffen Transparenz über Unternehmensziele, Zusammenarbeit und Unterstützung durch ein internationales Team auf Augenhöhe. Wir leben Austausch, Teamgeist und einen respektvollen Umgang miteinander. Das verbindet uns hierarchieübergreifend – auch im Home-Office. So erhielten wir in 2022, 2023 und 2024 die kununu Auszeichnung „TOP Company“.

Das erwartet Dich bei uns:

  • Onboarding: Vernetzung ab dem ersten Tag - Welcome Day, Hello Drink, Mentoring-Programm.
  • Entwicklung: Individuelle Förderung Deiner Stärken - Regelmäßige Feedbackgespräche, Karrierepfade, Career Committees, Online-Trainingskatalog, internationales Arbeiten mit verschiedenen Kulturen.
  • Work-Life-Balance: Raum für Deine Lebensplanung - Sabbatical, Remote Working aus dem Ausland, flexible Arbeitsmodelle, Elternzeitprogramme, 30 Tage Urlaub, Feiertagskalender Baden-Württemberg.
  • Nachhaltigkeit: Unsere Arbeit hat einen positiven Einfluss auf die Umwelt und die Gesellschaft - wir machen unsere Lösungen und Zusammenarbeit jeden Tag nachhaltiger.
  • Events: Fachliche und unterhaltsame Events - Summer-Tech-Event, lokale Afterworks, Sportevents, Teamevents, Weihnachtsfeiern.
  • Netzwerken: Verbinde Dich mit internationalen Kolleg:innen - Communities, Lunch Breaks, interne Know-How Sessions.
  • Fehlerkultur: Teste Dich aus und lerne aus Fehlern - Wir geben Dir Freiraum, mit neuesten Technologien zu arbeiten.
  • Prämien: Zahlreiche Prämien für zusätzliches Engagement.
  • Weitere Vorteile: Digitales Mobilitätsbudget, Corporate Benefits, Jobfahrrad, Deutschlandticket, betriebliches Gesundheitsmanagement.


Schau Dir unsere CBTW Spotify Playlist an und erhalte einen ersten musikalischen Eindruck von unserem Team: https://open.spotify.com/playlist/44kgWZRt5jmmgppH0qGszg?si=L312ch\_9SMKsCKBcN-EB\_A

Aber genug von uns, jetzt bist Du an der Reihe - Wir freuen uns darauf, Dich kennenzulernen ! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-12,[] +3992212274,https://de.linkedin.com/jobs/view/senior-data-engineer-at-digital-waffle-3992212274?position=6&pageNum=10&refId=B2QxKobv7rmugFCVlGHL8Q%3D%3D&trackingId=7DKMTUC3xeDyGAvKzpZD5Q%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Engineer,Digital Waffle,"Berlin, Germany","Digital Waffle is proud to have partnered with an innovative tech company in Berlin who are on a mission to revolutionise the energy sector with data-driven insights maximising the efficiency and impact of renewable energy solutions 🌱 + + + + +About the Role: + +I am seeking a passionate Senior Data Engineer to play a pivotal role in our client's mission to combat climate change through data-driven insights and solutions. You will be responsible for designing, building, and optimising their robust data infrastructure that empowers the teams to tackle the world’s most pressing environmental challenges. + + + + +Key Responsibilities: + +Design and implement scalable data pipelines, warehouses, and lakes that effectively capture, process, and store diverse streams of climate-related data (e.g., emissions data, weather patterns, renewable energy metrics). +Develop complex ETL/ELT processes to cleanse, transform, and model raw data into actionable formats. +Collaborate with data scientists, analysts, and product teams to provide the data tools, infrastructure, and support they need to derive climate-impact insights. +Automate data workflows and build monitoring systems to ensure seamless operations and enhance efficiency. + + + + +Skills: + +5+ years of hands-on experience in data engineering +Big data technologies (Hadoop, Spark, etc.) +Cloud platforms (AWS, Azure, or GCP) +A strong interest or background in climate science, renewable energy, environmental policy, or related fields is highly beneficial. +Proactive attitude in identifying and solving intricate data challenges. + +Show more ","
+ + + + + +
+
+

Digital Waffle is proud to have partnered with an innovative tech company in Berlin who are on a mission to revolutionise the energy sector with data-driven insights maximising the efficiency and impact of renewable energy solutions 🌱


About the Role:

I am seeking a passionate Senior Data Engineer to play a pivotal role in our client's mission to combat climate change through data-driven insights and solutions. You will be responsible for designing, building, and optimising their robust data infrastructure that empowers the teams to tackle the world’s most pressing environmental challenges.


Key Responsibilities:

  • Design and implement scalable data pipelines, warehouses, and lakes that effectively capture, process, and store diverse streams of climate-related data (e.g., emissions data, weather patterns, renewable energy metrics).
  • Develop complex ETL/ELT processes to cleanse, transform, and model raw data into actionable formats.
  • Collaborate with data scientists, analysts, and product teams to provide the data tools, infrastructure, and support they need to derive climate-impact insights.
  • Automate data workflows and build monitoring systems to ensure seamless operations and enhance efficiency.


Skills:

  • 5+ years of hands-on experience in data engineering
  • Big data technologies (Hadoop, Spark, etc.)
  • Cloud platforms (AWS, Azure, or GCP)
  • A strong interest or background in climate science, renewable energy, environmental policy, or related fields is highly beneficial.
  • Proactive attitude in identifying and solving intricate data challenges.

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",2024-08-05,[] +3975697850,https://de.linkedin.com/jobs/view/ml-engineer-computer-vision-at-autarc-yc-s24-3975697850?position=7&pageNum=10&refId=B2QxKobv7rmugFCVlGHL8Q%3D%3D&trackingId=fxcQtPEAHAhmU%2Bq16uqK6A%3D%3D&trk=public_jobs_jserp-result_search-card,ML Engineer (Computer Vision),autarc (YC S24),"Berlin, Berlin, Germany","We're seeking an exceptional Machine Learning Engineer with expertise in computer vision to join our growing team. You will be our first ML Engineer, set up our entire ML infrastructure and play a critical role in developing innovative solutions to streamline heat pump installations. + +Responsibilities + + +Develop and implement machine learning models. The core will be a computer vision model based on camera and LiDAR data. +Design, build, and maintain the ML infrastructure +Preprocess and analyze large datasets +Train and fine-tune machine learning models +Collaborate with cross-functional teams to integrate ML solutions into the platform +Monitor and improve the performance of deployed models + + +Qualifications + + +Strong proficiency in machine learning and computer vision techniques +Experience with ML frameworks such as TensorFlow, PyTorch, or similar +Proficiency in Python and related ML libraries +Familiarity with LiDAR technology and data processing +Experience in setting up and managing ML infrastructure +Preferably based in Berlin, with a willingness to work from our office close to Rosenthaler Platz + + +What We’re Offering + + +Office in Berlin-Mitte: Our office is located near Weinbergspark in Berlin-Mitte. +Equipment: You have the freedom to choose your own equipment (within a budget range). +Annual Team Retreat: Let’s enjoy an annual retreat with the entire team. +Mobility Package: Choose between a JobRad and Dance Bike for your mobility. +Fitness Package: Choose between Urban Sports and Classpass for your fitness. +Collegial and Familial Team: A collegial and familial team welcomes you, characterized by an open company culture. +Part of the Energy Transition: Be a part of the energy transition and directly experience the impact of your daily work. +Show more ","
+ + + + + +
+
+ We're seeking an exceptional Machine Learning Engineer with expertise in computer vision to join our growing team. You will be our first ML Engineer, set up our entire ML infrastructure and play a critical role in developing innovative solutions to streamline heat pump installations.

Responsibilities

  • Develop and implement machine learning models. The core will be a computer vision model based on camera and LiDAR data.
  • Design, build, and maintain the ML infrastructure
  • Preprocess and analyze large datasets
  • Train and fine-tune machine learning models
  • Collaborate with cross-functional teams to integrate ML solutions into the platform
  • Monitor and improve the performance of deployed models

Qualifications

  • Strong proficiency in machine learning and computer vision techniques
  • Experience with ML frameworks such as TensorFlow, PyTorch, or similar
  • Proficiency in Python and related ML libraries
  • Familiarity with LiDAR technology and data processing
  • Experience in setting up and managing ML infrastructure
  • Preferably based in Berlin, with a willingness to work from our office close to Rosenthaler Platz

What We’re Offering

  • Office in Berlin-Mitte: Our office is located near Weinbergspark in Berlin-Mitte.
  • Equipment: You have the freedom to choose your own equipment (within a budget range).
  • Annual Team Retreat: Let’s enjoy an annual retreat with the entire team.
  • Mobility Package: Choose between a JobRad and Dance Bike for your mobility.
  • Fitness Package: Choose between Urban Sports and Classpass for your fitness.
  • Collegial and Familial Team: A collegial and familial team welcomes you, characterized by an open company culture.
  • Part of the Energy Transition: Be a part of the energy transition and directly experience the impact of your daily work.
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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-16,[] +3980049406,https://de.linkedin.com/jobs/view/data-analyst-salesforce-data-cloud-marketing-all-genders-at-adesso-se-3980049406?position=8&pageNum=10&refId=B2QxKobv7rmugFCVlGHL8Q%3D%3D&trackingId=zfizuH5YU0H9xQNcsEc4Ag%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Salesforce Data Cloud - Marketing (all genders),adesso SE,"Berlin, Berlin, Germany","Wir gehören zu den Top-Adressen in der IT-Welt und fokussieren uns auf die Optimierung der Kerngeschäfts­prozesse unserer Kunden. Durch den smarten Einsatz maßgeschneiderter IT-Lösungen unterstützen wir unsere Kunden dabei, das Beste aus ihrem Business und aktuellen Technologien herauszuholen. Unseren Erfolg aber erreichen wir nur durch eins: die Menschen bei adesso! Sie bringen Ideen, fachliches Know how und Technologien zusammen. Gemeinsam programmieren wir (deine) Zukunft bei adesso. + +Standorte + +Berlin, Köln, Düsseldorf, Hamburg, Dortmund, Frankfurt, Leipzig, München, Jena + +DEINE ROLLE - DAS WARTET AUF DICH + +Bist du bereit, die Marketingstrategien unserer Kunden durch datengetriebene Einsichten neu zu definieren? Außerdem zeichnet dich eine starke Lösungsorientierung aus? Dann bist du bei adesso genau richtig! + +In deiner Rolle als Data Analyst spielst du eine zentrale Rolle bei der Einführung der Salesforce Data Cloud bei unseren Kunden. + +Im Detail übernimmst du dabei folgende Aufgaben: + + +Kundenberatung und Datenanalyse: Du berätst Kunden bei der Einführung der Salesforce Data Cloud und identifizierst durch die Analyse vorhandener Kundendaten datengetriebene Marketing-Use Cases. +Kundendatenstrategie und Implementierung: Du entwickelst in enger Zusammenarbeit mit Kunden eine umfassende Kundendatenstrategie, die auf den identifizierten Use Cases basiert, und bist für die Implementierung des Datenmodells in der Salesforce Data Cloud verantwortlich. +Technische Integration und Segmentierung: Du gewährleistest eine optimale Verknüpfung von Business-Anforderungen mit technischen Datenmodellen und erstellst technische Segmente, um spezifische Marketing-Use Cases zu unterstützen. +Presales und Projektverantwortung: Du unterstützt Presales-Aktivitäten, erstellst Pitch-Konzepte und präsentierst diese vor potenziellen Kunden. Zudem übernimmst du die Verantwortung für die erfolgreiche Umsetzung und Implementierung der Projekte im Auftrag unserer Kunden. + + +DEINE SKILLS - DAS BRINGST DU MIT + + +Erfahrung: Du bringst mehrjährige Erfahrung als Data Analyst mit, idealerweise in Digital Analytics oder Marketing Analytics. Erfahrungen mit Verhaltensdaten im Digitalbereich oder Customer Data im Marketing sind wünschenswert. +Kenntnisse in Datenplattformen: Du hast Kenntnisse in Customer Data Platforms, Kenntnisse der Salesforce Data Cloud sind ein zusätzlicher Vorteil. +Digitales Marketing und Analytische Fähigkeiten: Du besitzt ein fundiertes Verständnis für digitales Marketing und bist erfahren in der Analyse und Interpretation von Daten sowie in der Identifikation von datengetriebenen Use Cases. +Kundendatenstrategie und Technische Fähigkeiten: Du hast Erfahrung in der Entwicklung und Implementierung von Kundendatenstrategien und verfügst über ein tiefes Verständnis von relationalen Datenmodellen sowie hervorragende SQL-Fähigkeiten. +Kommunikation und Teamarbeit: Du kannst komplexe technische Inhalte klar vermitteln und arbeitest effektiv sowohl in interdisziplinären Teams als auch selbstständig. + + +Unser Versprechen: Du wirst dich bei uns wohlfühlen! Kollegial, familiär und auf Augenhöhe – wir leben Austausch, Teamgeist und einen respektvollen Umgang miteinander. Diversität und verschiedene Blickwinkel werden bei uns genauso geschätzt wie du als Mensch. Das und viel mehr steht für unser ganz besonderes Wir-Gefühl. Für das es sogar ein Wort gibt: adessi. + +Unsere Kultur und das Zusammenarbeiten sind geprägt von gegenseitiger Wertschätzung, Anerkennung und Unterstützung. Das verbindet uns hierarchieübergreifend – auch im Home-Office. So belegen wir zum wiederholten Mal den 1. Platz beim Wettbewerb „Deutschlands Beste Arbeitgeber in der ITK“!. Unser umfangreiches Trainingsangebot und ein transparentes Laufbahnstufenmodell für alle sorgen dafür, dass deine Entwicklung bei uns nicht stillsteht. Denn gemeinsam zu wachsen und Chancengeber zu sein, das ist programmiert in unserer DNA. +Show more ","
+ + + + + +
+
+ Wir gehören zu den Top-Adressen in der IT-Welt und fokussieren uns auf die Optimierung der Kerngeschäfts­prozesse unserer Kunden. Durch den smarten Einsatz maßgeschneiderter IT-Lösungen unterstützen wir unsere Kunden dabei, das Beste aus ihrem Business und aktuellen Technologien herauszuholen. Unseren Erfolg aber erreichen wir nur durch eins: die Menschen bei adesso! Sie bringen Ideen, fachliches Know how und Technologien zusammen. Gemeinsam programmieren wir (deine) Zukunft bei adesso.

Standorte

Berlin, Köln, Düsseldorf, Hamburg, Dortmund, Frankfurt, Leipzig, München, Jena

DEINE ROLLE - DAS WARTET AUF DICH

Bist du bereit, die Marketingstrategien unserer Kunden durch datengetriebene Einsichten neu zu definieren? Außerdem zeichnet dich eine starke Lösungsorientierung aus? Dann bist du bei adesso genau richtig!

In deiner Rolle als Data Analyst spielst du eine zentrale Rolle bei der Einführung der Salesforce Data Cloud bei unseren Kunden.

Im Detail übernimmst du dabei folgende Aufgaben:

  • Kundenberatung und Datenanalyse: Du berätst Kunden bei der Einführung der Salesforce Data Cloud und identifizierst durch die Analyse vorhandener Kundendaten datengetriebene Marketing-Use Cases.
  • Kundendatenstrategie und Implementierung: Du entwickelst in enger Zusammenarbeit mit Kunden eine umfassende Kundendatenstrategie, die auf den identifizierten Use Cases basiert, und bist für die Implementierung des Datenmodells in der Salesforce Data Cloud verantwortlich.
  • Technische Integration und Segmentierung: Du gewährleistest eine optimale Verknüpfung von Business-Anforderungen mit technischen Datenmodellen und erstellst technische Segmente, um spezifische Marketing-Use Cases zu unterstützen.
  • Presales und Projektverantwortung: Du unterstützt Presales-Aktivitäten, erstellst Pitch-Konzepte und präsentierst diese vor potenziellen Kunden. Zudem übernimmst du die Verantwortung für die erfolgreiche Umsetzung und Implementierung der Projekte im Auftrag unserer Kunden.

DEINE SKILLS - DAS BRINGST DU MIT

  • Erfahrung: Du bringst mehrjährige Erfahrung als Data Analyst mit, idealerweise in Digital Analytics oder Marketing Analytics. Erfahrungen mit Verhaltensdaten im Digitalbereich oder Customer Data im Marketing sind wünschenswert.
  • Kenntnisse in Datenplattformen: Du hast Kenntnisse in Customer Data Platforms, Kenntnisse der Salesforce Data Cloud sind ein zusätzlicher Vorteil.
  • Digitales Marketing und Analytische Fähigkeiten: Du besitzt ein fundiertes Verständnis für digitales Marketing und bist erfahren in der Analyse und Interpretation von Daten sowie in der Identifikation von datengetriebenen Use Cases.
  • Kundendatenstrategie und Technische Fähigkeiten: Du hast Erfahrung in der Entwicklung und Implementierung von Kundendatenstrategien und verfügst über ein tiefes Verständnis von relationalen Datenmodellen sowie hervorragende SQL-Fähigkeiten.
  • Kommunikation und Teamarbeit: Du kannst komplexe technische Inhalte klar vermitteln und arbeitest effektiv sowohl in interdisziplinären Teams als auch selbstständig.

Unser Versprechen: Du wirst dich bei uns wohlfühlen! Kollegial, familiär und auf Augenhöhe – wir leben Austausch, Teamgeist und einen respektvollen Umgang miteinander. Diversität und verschiedene Blickwinkel werden bei uns genauso geschätzt wie du als Mensch. Das und viel mehr steht für unser ganz besonderes Wir-Gefühl. Für das es sogar ein Wort gibt: adessi.

Unsere Kultur und das Zusammenarbeiten sind geprägt von gegenseitiger Wertschätzung, Anerkennung und Unterstützung. Das verbindet uns hierarchieübergreifend – auch im Home-Office. So belegen wir zum wiederholten Mal den 1. Platz beim Wettbewerb „Deutschlands Beste Arbeitgeber in der ITK“!. Unser umfangreiches Trainingsangebot und ein transparentes Laufbahnstufenmodell für alle sorgen dafür, dass deine Entwicklung bei uns nicht stillsteht. Denn gemeinsam zu wachsen und Chancengeber zu sein, das ist programmiert in unserer DNA. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3991540630,https://de.linkedin.com/jobs/view/senior-data-engineer-data-warehouse-analytics-f-m-d-at-parloa-3991540630?position=9&pageNum=10&refId=B2QxKobv7rmugFCVlGHL8Q%3D%3D&trackingId=7XHwIUONiidvdt03w5gqdQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Engineer - Data Warehouse/Analytics (f/m/d)*,Parloa,"Berlin, Germany","YOUR MISSION + +As a Senior Data Engineer - Data Warehouse/Analytics (f/m/d)*, you will build data marts that power customer-facing data products. As one of the founding members of the data team, your work will have a pivotal impact on the organization. You will empower company-wide stakeholders to work effectively with data by building Parloa’s data warehouse from scratch. The data models and data pipelines you build will help to transform the entire customer service industry leveraging data and AI. + +In This Role You Will + + +Design and implement the data pipelines that power our customer-facing analytics product together with your cross-functional team (ingestion and transformation) +Take ownership of designing, building and improving the data warehouse for Parloa and setting standards and conventions to enable us to scale +Build and optimize data models for performance, cost and usability +Lead and execute technical projects end-to-end: understanding user requirements, systems and model design, proof of concept, implementation & scaling, maintenance and support, continuous improvement +Work closely with stakeholders in Customer Success and Product to define requirements and build data models that serve their needs + + +Our Tech stack (Data): Microsoft Azure, Python, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka (more technologies to be added as we build our data platform) + +What You Bring To The Table + + +7+ years of experience as data engineer or analytics engineer, if less: experience with building up data warehouses/data products from ground up +Strong expertise with data modeling and implementing data pipelines (ingestion and transformation) +Expert proficiency in SQL, strong proficiency in Python, experience with big data technologies (experience with streaming technologies like Kafka is a plus) +Experience in working with cloud data platforms +Track record of building data warehouses and data products in accordance with legal requirements +Experience implementing data quality and governance frameworks +Experience in leading medium-sized technical projects (3-9 months roadmap) +Strong spoken and written communication skills in English + + +WHAT'S IN IT FOR YOU? + + +Be part of a dynamic, driven team of +20 nationalities with flat hierarchies and collaborative company culture. +Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days. +Attractive compensation package. +Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth. +Flexible working hours, 28 vacation days and workation opportunities. +Enjoy unlimited access to a variety of fitness, yoga, and leisure activities via Wellpass. +Leverage exclusive offers with our corporate benefits portal, giving you access to compelling deals from leading brands. +Regular team events, game nights, and other social activities. +And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks. +Is something missing here? Reach out and let's talk about what else you need for your ideal next growth opportunity. + + +Your Recruiting Process At Parloa + +Recruiter video call → Hiring Manager Interview → Challenge → Technical Interview → Meeting the team + +Why Parloa? + +Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 250 people in Berlin, Munich, and New York. + +When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $66 million Series B investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. + +Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. + +Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. + + +We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics. +Show more ","
+ + + + + +
+
+ YOUR MISSION

As a Senior Data Engineer - Data Warehouse/Analytics (f/m/d)*, you will build data marts that power customer-facing data products. As one of the founding members of the data team, your work will have a pivotal impact on the organization. You will empower company-wide stakeholders to work effectively with data by building Parloa’s data warehouse from scratch. The data models and data pipelines you build will help to transform the entire customer service industry leveraging data and AI.

In This Role You Will

  • Design and implement the data pipelines that power our customer-facing analytics product together with your cross-functional team (ingestion and transformation)
  • Take ownership of designing, building and improving the data warehouse for Parloa and setting standards and conventions to enable us to scale
  • Build and optimize data models for performance, cost and usability
  • Lead and execute technical projects end-to-end: understanding user requirements, systems and model design, proof of concept, implementation & scaling, maintenance and support, continuous improvement
  • Work closely with stakeholders in Customer Success and Product to define requirements and build data models that serve their needs

Our Tech stack (Data): Microsoft Azure, Python, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka (more technologies to be added as we build our data platform)

What You Bring To The Table

  • 7+ years of experience as data engineer or analytics engineer, if less: experience with building up data warehouses/data products from ground up
  • Strong expertise with data modeling and implementing data pipelines (ingestion and transformation)
  • Expert proficiency in SQL, strong proficiency in Python, experience with big data technologies (experience with streaming technologies like Kafka is a plus)
  • Experience in working with cloud data platforms
  • Track record of building data warehouses and data products in accordance with legal requirements
  • Experience implementing data quality and governance frameworks
  • Experience in leading medium-sized technical projects (3-9 months roadmap)
  • Strong spoken and written communication skills in English

WHAT'S IN IT FOR YOU?

  • Be part of a dynamic, driven team of +20 nationalities with flat hierarchies and collaborative company culture.
  • Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days.
  • Attractive compensation package.
  • Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth.
  • Flexible working hours, 28 vacation days and workation opportunities.
  • Enjoy unlimited access to a variety of fitness, yoga, and leisure activities via Wellpass.
  • Leverage exclusive offers with our corporate benefits portal, giving you access to compelling deals from leading brands.
  • Regular team events, game nights, and other social activities.
  • And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks.
  • Is something missing here? Reach out and let's talk about what else you need for your ideal next growth opportunity.

Your Recruiting Process At Parloa

Recruiter video call → Hiring Manager Interview → Challenge → Technical Interview → Meeting the team

Why Parloa?

Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 250 people in Berlin, Munich, and New York.

When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $66 million Series B investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey.

Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.

Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

  • We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3939490469,https://ca.linkedin.com/jobs/view/data-analyst-at-koho-3939490469?position=1&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=OgvP%2Fe6vf8NR5bylBwd1iA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,KOHO,Canada,"About KOHO + +KOHO’s purpose is to empower Canadians to build a great financial foundation with products that are radically transparent and easy to manage. We first launched in 2017, and we have since built a community of over 1 million users . Leading investors around the globe believe in our vision, and we’ve successfully raised over $320M to make our vision a reality. + +Discover our culture here and get the inside scoop from our team here ! + +About The Role + +KOHO is seeking a highly motivated Data Analyst to collaborate with various departments in leveraging data for informed decision-making. If you thrive on automating reports, building pipelines in DBT, crafting dashboards, and extracting actionable insights from financial data, this role is tailored for you. As part of our team, you will immerse yourself in writing SQL queries, collaborating with technical teams and Product Managers building our features, and engaging in consultative sessions with stakeholders across the business. + +What You'll Do + + +Analyze new and existing data sources to develop accurate and insightful reports. +Build data pipelines in DBT to power our reporting +Perform in-depth analysis of product data to drive strategic decision-making. +Prioritize and manage incoming data requests effectively within your workflow. +Collaborate closely with other members of the data team to execute projects and uphold the integrity of our data warehouse as the cornerstone of truth at KOHO. +Be immersed in a tech pod. Participate in the feature development process from requirements to product launches. Collaborate with software engineers to ensure the data collected meets reporting needs + + +Who You Are + + +Proven experience in a data analyst role, with a focus on data modelling +Proficiency in SQL for data manipulation, including self-joins, window functions, and parameter usage. +Demonstrated experience with dbt from previous roles. +Quick grasp of business concepts, metrics, and KPIs. +Well-organized with excellent time management skills. +Bonus: Experience working with Product teams + + +At KOHO, we are dedicated to providing pay transparency to all candidates. Compensation at KOHO is determined through various factors including but not limited to: comparable salary market data within Canada, technical skill assessment, a holistic view of previous work history, and internal pay equity with other KOHO team members. + +Target Base Salary Range + +$83,000 — $95,000 CAD + +What's In It For You? + +We Invest Time And Resources Into Making Sure KOHO Is As Good As The People We Hire. Here Are Some Of The Reasons We Attract The Best People + +🧘‍♂️ Balance Your Life - Company-wide summer wellness days, winter holiday closure, personal days, a wellness spending account, and maternity & parental leave top-up + +💻 Remote First - Work from anywhere in Canada with a budget to set up your home office + +🆙 Level Up - Access to an in-house certified performance coach and an annual training budget + +🥅 Reach Your Goals - Salary assessments twice per year + +🙌 The KOHO Culture - We have won 7 ""Great Place to Work ®"" awards since 2019 + +🤝 Be an Owner - Every KOHO employee gets a generous amount of equity with a 10 year exercise window + +The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact peopleaccessibility@koho.ca and the People and Culture team will be happy to help. + + +Show more ","
+ + + + + +
+
+ About KOHO

KOHO’s purpose is to empower Canadians to build a great financial foundation with products that are radically transparent and easy to manage. We first launched in 2017, and we have since built a community of over 1 million users . Leading investors around the globe believe in our vision, and we’ve successfully raised over $320M to make our vision a reality.

Discover our culture here and get the inside scoop from our team here !

About The Role

KOHO is seeking a highly motivated Data Analyst to collaborate with various departments in leveraging data for informed decision-making. If you thrive on automating reports, building pipelines in DBT, crafting dashboards, and extracting actionable insights from financial data, this role is tailored for you. As part of our team, you will immerse yourself in writing SQL queries, collaborating with technical teams and Product Managers building our features, and engaging in consultative sessions with stakeholders across the business.

What You'll Do

  • Analyze new and existing data sources to develop accurate and insightful reports.
  • Build data pipelines in DBT to power our reporting
  • Perform in-depth analysis of product data to drive strategic decision-making.
  • Prioritize and manage incoming data requests effectively within your workflow.
  • Collaborate closely with other members of the data team to execute projects and uphold the integrity of our data warehouse as the cornerstone of truth at KOHO.
  • Be immersed in a tech pod. Participate in the feature development process from requirements to product launches. Collaborate with software engineers to ensure the data collected meets reporting needs

Who You Are

  • Proven experience in a data analyst role, with a focus on data modelling
  • Proficiency in SQL for data manipulation, including self-joins, window functions, and parameter usage.
  • Demonstrated experience with dbt from previous roles.
  • Quick grasp of business concepts, metrics, and KPIs.
  • Well-organized with excellent time management skills.
  • Bonus: Experience working with Product teams

At KOHO, we are dedicated to providing pay transparency to all candidates. Compensation at KOHO is determined through various factors including but not limited to: comparable salary market data within Canada, technical skill assessment, a holistic view of previous work history, and internal pay equity with other KOHO team members.

Target Base Salary Range

$83,000 — $95,000 CAD

What's In It For You?

We Invest Time And Resources Into Making Sure KOHO Is As Good As The People We Hire. Here Are Some Of The Reasons We Attract The Best People

🧘‍♂️ Balance Your Life - Company-wide summer wellness days, winter holiday closure, personal days, a wellness spending account, and maternity & parental leave top-up

💻 Remote First - Work from anywhere in Canada with a budget to set up your home office

🆙 Level Up - Access to an in-house certified performance coach and an annual training budget

🥅 Reach Your Goals - Salary assessments twice per year

🙌 The KOHO Culture - We have won 7 ""Great Place to Work ®"" awards since 2019

🤝 Be an Owner - Every KOHO employee gets a generous amount of equity with a 10 year exercise window

The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact peopleaccessibility@koho.ca and the People and Culture team will be happy to help.

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",2024-07-19,[] +3967781737,https://ca.linkedin.com/jobs/view/data-analyst-at-shein-3967781737?position=2&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=I4eQR4aqwfE1WVCUOPYmFw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,SHEIN,"Markham, Ontario, Canada","About SHEIN: + +SHEIN is a global fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in more than 150 countries. + + + + +Founded in 2012, SHEIN works with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team. + + + + +To learn more about SHEIN, please visit https://ca.shein.com, follow our Instagram @shein_ca and TikTok @sheinca_. + + + + +Responsibilities: + +-Use Operations research, statistics, machine learning, forecasting techniques and structured programming languages to provide persistent analytical services to Distribution Centre operations and transportation. + +-Build statistical modelling, forecasting, applications development, and provide relevant support to Distribution Centre and transportation teams. + +-Leverage the understanding of the business process to identify and implement solutions which will result in significant bottom-line contributions. + +-Identify, research, and solve complex problems using big data. + +-Use the Lean Six Sigma DMAIC approach to design analytic plans and develop hypotheses to test. + +-Understand the limitations of analysis (what it can and cannot be used for). + +-Understand the logic and essence behind the numbers (i.e. does it make sense?). + +-Keep learning and be knowledgeable about the latest analytical methods and research. + +-Present the analytical conclusions to the management and leadership team and support the decision-making process. + +-Conduct training on how to use LEAN tools for the management and leadership team. + +-Show a strong commitment to delivering exceptional customer service to both outside and inside stakeholders of the company. + +-Ensure that operational activities meet the corporate quality standards and industrial benchmark. + +-Establish, define, formulate and execute cost reduction projects which align with the strategic goals and objectives. + +-Drive the continuous improvement of culture, principles and best practices to deliver operational expectations for the Distribution Centre + + + + +Qualifications: + +-Post-secondary education from an accredited university or equivalent qualification. + +-2-6 years of experience in mathematical programming and applying advanced statistical forecasting techniques. + +-Sound knowledge of supply chain processes and Distribution Center operations. + +-Proven experience in implementing and maintaining LEAN operational practices and tools + +-Passion for diving into data - you are able to get the data you need and turn it into a story. + +-Skillful in converting data analysis into decision advice. + +-Good customer-oriented attitude with a strong commitment to safety and quality. + +-Self-driven, be able to initiate large projects and focus on high-impact targets. + +-A solid team player with excellent communication skills, problem-solving abilities and the capabilities in managing various stakeholders efficiently. + +-Proficient in Warehouse Management Systems(WMS) and Microsoft Office including Word, Excel, PowerPoint, Access and Visio. + + + + +SHEIN is an equal opportunity employer committed to a diverse workplace environment. + +Show more ","
+ + + + + +
+
+

About SHEIN:

SHEIN is a global fashion and lifestyle e-retailer committed to making the beauty of fashion accessible to all. We use on-demand manufacturing technology to connect suppliers to our agile supply chain, reducing inventory waste and enabling us to deliver a variety of affordable products to customers around the world. From our global offices, we reach customers in more than 150 countries.


Founded in 2012, SHEIN works with outstanding, creative, and capable peers. We share an energetic and open culture for capable people to discern, work and ignite as a team.


To learn more about SHEIN, please visit https://ca.shein.com, follow our Instagram @shein_ca and TikTok @sheinca_.


Responsibilities:

-Use Operations research, statistics, machine learning, forecasting techniques and structured programming languages to provide persistent analytical services to Distribution Centre operations and transportation.

-Build statistical modelling, forecasting, applications development, and provide relevant support to Distribution Centre and transportation teams.

-Leverage the understanding of the business process to identify and implement solutions which will result in significant bottom-line contributions.

-Identify, research, and solve complex problems using big data.

-Use the Lean Six Sigma DMAIC approach to design analytic plans and develop hypotheses to test.

-Understand the limitations of analysis (what it can and cannot be used for).

-Understand the logic and essence behind the numbers (i.e. does it make sense?).

-Keep learning and be knowledgeable about the latest analytical methods and research.

-Present the analytical conclusions to the management and leadership team and support the decision-making process.

-Conduct training on how to use LEAN tools for the management and leadership team.

-Show a strong commitment to delivering exceptional customer service to both outside and inside stakeholders of the company.

-Ensure that operational activities meet the corporate quality standards and industrial benchmark.

-Establish, define, formulate and execute cost reduction projects which align with the strategic goals and objectives.

-Drive the continuous improvement of culture, principles and best practices to deliver operational expectations for the Distribution Centre


Qualifications:

-Post-secondary education from an accredited university or equivalent qualification.

-2-6 years of experience in mathematical programming and applying advanced statistical forecasting techniques.

-Sound knowledge of supply chain processes and Distribution Center operations.

-Proven experience in implementing and maintaining LEAN operational practices and tools

-Passion for diving into data - you are able to get the data you need and turn it into a story.

-Skillful in converting data analysis into decision advice.

-Good customer-oriented attitude with a strong commitment to safety and quality.

-Self-driven, be able to initiate large projects and focus on high-impact targets.

-A solid team player with excellent communication skills, problem-solving abilities and the capabilities in managing various stakeholders efficiently.

-Proficient in Warehouse Management Systems(WMS) and Microsoft Office including Word, Excel, PowerPoint, Access and Visio.


SHEIN is an equal opportunity employer committed to a diverse workplace environment.

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",2024-07-09,[] +3980280311,https://ca.linkedin.com/jobs/view/junior-data-analyst-at-botsford-associates-3980280311?position=3&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=k7h6K8Ehn7J0KMHaDdZSkw%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst,Botsford Associates,"Toronto, Ontario, Canada","Job Description: + +Our client who oversees the Client Data & Process Re-engineering group in Capital Markets is currently looking for 4 Jr Analysts to join a new team he's building on a one year contract. The team is responsible for Client Outreach, specifically tied to Dodd Frank (CFTC & SEC) including Protocol 1 & 2 and Canadian Rep Letter #1. The purpose of the outreach is to ensure they get signed documentation from their clients tied to this regulation in a timely manner. + + + + +On a daily basis, the candidates would be responsible for: + +- Managing their inbox + +- Use Markit to confirm regulatory data matches + +- Performing data entry into RCS for bilateral documents received + +- Coordinating and collaborating with Regulatory Operations, Legal, Compliance, and CMS + +- Performing searches and investigations on entities using internal source systems such as CDR, Salesforce, TRACS, RVS, ECIF, FMS and CORA + +- Cross-train with Corporate Banking Credit team to understand credit processes and systems + +- Cross-train with Legal to understand how to validate Dodd Frank (DF) documents and Data + +- Engaging Corporate Banking Credit team and Sales Desk for sales coverage and client contact information + + + + +Top 3 Must-Have's: + +- Data Entry experience + +- Capital Markets or Corporate Banking experience + +- Proficiency with MS Excel (intermediate), Outlook and MS Word + + + + +In-Office Policy: + +- During the first few weeks, this role will be 100% in-office during training and onboarding + +- After onboarding period is complete, it will be in-office 3 days per week at their Commerce Court location + + + + +Full-Time Opportunities: + +- There is potential for these roles to turn into full-time positions at the end of the one year contract, pending budget, performance, and head count allocation. + +Show more ","
+ + + + + +
+
+

Job Description:

Our client who oversees the Client Data & Process Re-engineering group in Capital Markets is currently looking for 4 Jr Analysts to join a new team he's building on a one year contract. The team is responsible for Client Outreach, specifically tied to Dodd Frank (CFTC & SEC) including Protocol 1 & 2 and Canadian Rep Letter #1. The purpose of the outreach is to ensure they get signed documentation from their clients tied to this regulation in a timely manner.


On a daily basis, the candidates would be responsible for:

- Managing their inbox

- Use Markit to confirm regulatory data matches

- Performing data entry into RCS for bilateral documents received

- Coordinating and collaborating with Regulatory Operations, Legal, Compliance, and CMS

- Performing searches and investigations on entities using internal source systems such as CDR, Salesforce, TRACS, RVS, ECIF, FMS and CORA

- Cross-train with Corporate Banking Credit team to understand credit processes and systems

- Cross-train with Legal to understand how to validate Dodd Frank (DF) documents and Data

- Engaging Corporate Banking Credit team and Sales Desk for sales coverage and client contact information


Top 3 Must-Have's:

- Data Entry experience

- Capital Markets or Corporate Banking experience

- Proficiency with MS Excel (intermediate), Outlook and MS Word


In-Office Policy:

- During the first few weeks, this role will be 100% in-office during training and onboarding

- After onboarding period is complete, it will be in-office 3 days per week at their Commerce Court location


Full-Time Opportunities:

- There is potential for these roles to turn into full-time positions at the end of the one year contract, pending budget, performance, and head count allocation.

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+ + + + + + + + + + + + + + + + + + +
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",2024-07-19,[] +3980261600,https://ca.linkedin.com/jobs/view/business-data-analyst-at-scotiabank-3980261600?position=7&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=CHyIqY7ZaDOOmhEdgRzZQg%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,Scotiabank,"Toronto, Ontario, Canada","Requisition ID: 201024 + +Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. + +The Team + +Global Treasury Technology (GTT) provides technology support for business applications and related liquidity reporting. Its purpose driven winning team, committed to results, in an inclusive and high-performing culture. + +The Role + +GTT is searching for passionate business analyst who are continuous learners & passionate about big data systems and its analysis. + +The successful candidate will have a strong passion for big data system analysis. You will work closely with business teams and cross functional engineering leaders to gather data requirements for the various big data & reporting projects within GTT. + +As part of the role, you’ll + + +Demonstrate an informed knowledge of business functions to resolve problems and capitalize on improvement opportunities. +Ensure business specifications/requirements documentation is accurately prepared and comprehensive to support sizing/development efforts and as input to various project documentation. +Develop and deliver Business Data Requirements Documents, Design Documents, Use Cases, and Process Models as required. +Participate in the development of detailed project plans, the monitoring of progress against planned objectives, the financial review, and securing consensus and co-operation from users and senior management. +Work closely across GTT technology teams during all stages of the system development life cycle and bridge the gap between business and technology sides of the solution. +Liaising between the business community and the IT organization to provide technical solutions that meet user needs. +Build relationships and communicate effectively with colleagues in Global regions. +Support production issues and handle escalations during Release cycles as needed. +Perform ad hoc project work on various GTT projects. +Participates in the support of the production and maintenance of the GTT platforms + + +Minimum Qualifications + + +Experience working across multiple teams and functions to ensure alignment. +2 years practical experience or relevant co-op experience in business analysis. Big data analysis would be an asset. +Minimum 2 years’ working knowledge of databases & SQL, with ability to create and run queries independently. +Knowledge of Google Cloud such as big query or eagerness to self-learn. +Ability to adapt quickly to new processes and standards, with a strong commitment to providing exceptional customer service. +Proven ability to translate business data requirements into technical specifications and deliver working results. +Proven ability to draft test cases for functional and non-functional testing. +Excellent analytical, problem-solving, and communication skills. +A recognized undergraduate degree or diploma in business administration, computer science or related field required. +Excellent working experience of Microsoft suite of products (Word, Excel, PowerPoint, Project). +Functional knowledge of treasury or financial domain would be an asset. + + +Preferred Qualifications + + +An understanding of the Bank’s application system and software from a business/technical viewpoint is required to assess the impact of development and/or changes to the overall data processing environment). +Experience supporting treasury applications is a plus. +Experience managing projects that span change in front, middle or back-office systems and teams. +Strong Experience with big data systems is an asset. + + +What's in it for you? + + +Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. +Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. +Hybrid-friendly work environment will provide you with the flexibility of best of both remote and in office world, to perform at your best. +Upskilling through online courses, cross-functional development opportunities, and tuition assistance.  +Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. +Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more! + + +Location(s): Canada : Ontario : Toronto + +Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. + +At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted. +Show more ","
+ + + + + +
+
+ Requisition ID: 201024

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Team

Global Treasury Technology (GTT) provides technology support for business applications and related liquidity reporting. Its purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role

GTT is searching for passionate business analyst who are continuous learners & passionate about big data systems and its analysis.

The successful candidate will have a strong passion for big data system analysis. You will work closely with business teams and cross functional engineering leaders to gather data requirements for the various big data & reporting projects within GTT.

As part of the role, you’ll

  • Demonstrate an informed knowledge of business functions to resolve problems and capitalize on improvement opportunities.
  • Ensure business specifications/requirements documentation is accurately prepared and comprehensive to support sizing/development efforts and as input to various project documentation.
  • Develop and deliver Business Data Requirements Documents, Design Documents, Use Cases, and Process Models as required.
  • Participate in the development of detailed project plans, the monitoring of progress against planned objectives, the financial review, and securing consensus and co-operation from users and senior management.
  • Work closely across GTT technology teams during all stages of the system development life cycle and bridge the gap between business and technology sides of the solution.
  • Liaising between the business community and the IT organization to provide technical solutions that meet user needs.
  • Build relationships and communicate effectively with colleagues in Global regions.
  • Support production issues and handle escalations during Release cycles as needed.
  • Perform ad hoc project work on various GTT projects.
  • Participates in the support of the production and maintenance of the GTT platforms

Minimum Qualifications

  • Experience working across multiple teams and functions to ensure alignment.
  • 2 years practical experience or relevant co-op experience in business analysis. Big data analysis would be an asset.
  • Minimum 2 years’ working knowledge of databases & SQL, with ability to create and run queries independently.
  • Knowledge of Google Cloud such as big query or eagerness to self-learn.
  • Ability to adapt quickly to new processes and standards, with a strong commitment to providing exceptional customer service.
  • Proven ability to translate business data requirements into technical specifications and deliver working results.
  • Proven ability to draft test cases for functional and non-functional testing.
  • Excellent analytical, problem-solving, and communication skills.
  • A recognized undergraduate degree or diploma in business administration, computer science or related field required.
  • Excellent working experience of Microsoft suite of products (Word, Excel, PowerPoint, Project).
  • Functional knowledge of treasury or financial domain would be an asset.

Preferred Qualifications

  • An understanding of the Bank’s application system and software from a business/technical viewpoint is required to assess the impact of development and/or changes to the overall data processing environment).
  • Experience supporting treasury applications is a plus.
  • Experience managing projects that span change in front, middle or back-office systems and teams.
  • Strong Experience with big data systems is an asset.

What's in it for you?

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
  • Hybrid-friendly work environment will provide you with the flexibility of best of both remote and in office world, to perform at your best.
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3847778634,https://ca.linkedin.com/jobs/view/data-analyst-at-stripe-3847778634?position=8&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=69BraHpgIksxBGkRosm2VQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Stripe,"Toronto, Ontario, Canada","About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. + +What you'll do + +In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling. + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems +Proficiency in SQL and Python +Strong statistical knowledge +Expertise in visualization and using data insights to make recommendations and achieve goals +Proven ability to manage and deliver on multiple projects with great attention to detail +Ability to clearly communicate results and drive impact +Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights. + + + +Preferred Qualifications + + +Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field. +Prior experience at a growth stage internet or software company. +Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines. +Good understanding of development processes and best practices like engineering standards, code reviews, and testing. + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$128,700 - C$221,900. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
  • Proficiency in SQL and Python
  • Strong statistical knowledge
  • Expertise in visualization and using data insights to make recommendations and achieve goals
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.


Preferred Qualifications

  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
  • Prior experience at a growth stage internet or software company.
  • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.


Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

Pay and benefits

The annual salary range for this role in the primary location is C$128,700 - C$221,900. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3969531269,https://ca.linkedin.com/jobs/view/data-analyst-at-prime-hires-3969531269?position=9&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=5Gxp8nh5M3qIGzEUHzQS7g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Prime Hires,"Ontario, Canada","Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private client, commercial banking, treasury, and retail banking. + + + + +Job Description + +Position: Data Analyst II + +Location Address: 100% remote – open to candidates across Canada + +Contract Duration: 7 months + +Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week + +Job Description: + +The Admin Advantage team within the Group Benefits organization links people, technology and expert services to simplify benefits administration and provide a consistent, powerful member and client experience. Our vision is to be recognized as the partner of choice within the industry for benefits solutions and benefits administration services. + +We are seeking a Data Analyst with proven relationship and strong technical and analytical skills to join the team on a regular full-time basis. + +In this role, you will work through business impacts, articulate business requirements, define user acceptance testing requirements and provide support to many other processes and deliverables in the project life cycle. You will work to understand current state by obtaining information, with the right level of detail from many different stakeholder groups, subject matter experts, and technical resources. You will interact with various areas, including; Service Owners, Benefits Administrators and various levels of management in multiple locations. + +As a member of the AdminAdvantage team you will be supporting large corporate clients, coordinating efforts to provide world class benefits administration and customer service. Our clients trust the administration of their group benefits to us and you will be part of a team that delivers outstanding results to those clients and our members. + +Does this sound like you? + +• Data Analysis Experience + +• Conceptual Thinker (big picture) + +• Strong Negotiation & Influencing Skills + +• Action Oriented Problem Solver + +• Collaborative Team Player + +• Produce high quality deliverables on time + +• Excellent verbal and written communication skills + +• Flexible to Change (processes, tools, priorities etc.) + +• Resiliency with Ambiguity + +Typical Day in Role + +• Identify impacts to our clients. + +• Accountable for end-to-end management of pre and post enrolment reporting analysis and updates. + +• Engage and collaborate with internal team members and stakeholders to provide status updates and resolve client issues. + +• Create the necessary handover documentation and transition the changes to the Service Owner for sign-off. + +• Contribute to enrolment project level deliverables + +• Work collaboratively with the AdminAdvantage RBA and Service Owner teams to pro-actively share information and foster continued learning and development + +• Look for ways to improve/ streamline the way we work and how we service our customers and stakeholders + +Candidate Requirements/Must Have Skills: + +1. Proficient in Microsoft intermediate/advanced Excel and SQL + +2. Data Analyst - 2+ years’ experience + +3. Thorough knowledge of analysis + +4. Infectiously positive personality with a drive to succeed and a dedication to quality service + +5. Stellar customer service and skills that demonstrate integrity + +6. Strong data analysis, decision-making ability with a real passion for solving problems + +7. Superior attention to detail + +Nice-To-Have Skills: + +1. Proficiency in Microsoft Access and Visual Basic programming, Macros, VBA is an asset + +2. Knowledge of Group Benefits as well as Benefits Administration would an asset + +3. Good knowledge of Benefits Administration Systems (Vital Objects) would be an asset + +4. Proven experience with learning new products, technologies and tools + +Education: + +• Bachelor's degree is preferred + +Additional Soft skills: + +• Proven negotiation and communication skills + +• Proven experience with MS Office suite of software + +• Ability to demonstrate confidence and resilience in every day situations + +• Good relationship management skills + +• Familiar with the various types of standard electronic files + +• Excellent listening and interpersonal skills + +• Exceptional time management and organizational skills + +• Can effectively communicate ideas and recommendations to all levels of the organization + +• Results oriented and can manage multiple priorities and projects + +• Ability to take initiative and demonstrate good judgement + +• Solid collaboration skills with the ability to work autonomously + +• Ability to work in a demanding environment + +Best vs. Average: a stand out candidate would be someone with an entrepreneurial spirt – can hit the ground running, self-sufficient, and self -starter. They are joining a team that is quickly growing and changing and need to be able to adapt and be flexible + +Additional Notes + +• Any additional details to share with Suppliers (i.e. team/cultural fit, professional background preference, etc.) – someone who can be flexible, embrace change and adapt to changing environment + + + + +We thank you for your interest in the position, however, only those who are qualified will be contacted + +Inclusion and Equal Opportunity Employment + +Our client is an equal opportunity employer committed to diversity and inclusion; creating an inclusive environment where all team members and clients feel like they belong. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, Aboriginal/Native American status or any other legally-protected factors. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience; accommodations during the application process are available upon request. + +Show more ","
+ + + + + +
+
+

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private client, commercial banking, treasury, and retail banking.


Job Description

Position: Data Analyst II

Location Address: 100% remote – open to candidates across Canada

Contract Duration: 7 months

Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Job Description:

The Admin Advantage team within the Group Benefits organization links people, technology and expert services to simplify benefits administration and provide a consistent, powerful member and client experience. Our vision is to be recognized as the partner of choice within the industry for benefits solutions and benefits administration services.

We are seeking a Data Analyst with proven relationship and strong technical and analytical skills to join the team on a regular full-time basis.

In this role, you will work through business impacts, articulate business requirements, define user acceptance testing requirements and provide support to many other processes and deliverables in the project life cycle. You will work to understand current state by obtaining information, with the right level of detail from many different stakeholder groups, subject matter experts, and technical resources. You will interact with various areas, including; Service Owners, Benefits Administrators and various levels of management in multiple locations.

As a member of the AdminAdvantage team you will be supporting large corporate clients, coordinating efforts to provide world class benefits administration and customer service. Our clients trust the administration of their group benefits to us and you will be part of a team that delivers outstanding results to those clients and our members.

Does this sound like you?

• Data Analysis Experience

• Conceptual Thinker (big picture)

• Strong Negotiation & Influencing Skills

• Action Oriented Problem Solver

• Collaborative Team Player

• Produce high quality deliverables on time

• Excellent verbal and written communication skills

• Flexible to Change (processes, tools, priorities etc.)

• Resiliency with Ambiguity

Typical Day in Role

• Identify impacts to our clients.

• Accountable for end-to-end management of pre and post enrolment reporting analysis and updates.

• Engage and collaborate with internal team members and stakeholders to provide status updates and resolve client issues.

• Create the necessary handover documentation and transition the changes to the Service Owner for sign-off.

• Contribute to enrolment project level deliverables

• Work collaboratively with the AdminAdvantage RBA and Service Owner teams to pro-actively share information and foster continued learning and development

• Look for ways to improve/ streamline the way we work and how we service our customers and stakeholders

Candidate Requirements/Must Have Skills:

1. Proficient in Microsoft intermediate/advanced Excel and SQL

2. Data Analyst - 2+ years’ experience

3. Thorough knowledge of analysis

4. Infectiously positive personality with a drive to succeed and a dedication to quality service

5. Stellar customer service and skills that demonstrate integrity

6. Strong data analysis, decision-making ability with a real passion for solving problems

7. Superior attention to detail

Nice-To-Have Skills:

1. Proficiency in Microsoft Access and Visual Basic programming, Macros, VBA is an asset

2. Knowledge of Group Benefits as well as Benefits Administration would an asset

3. Good knowledge of Benefits Administration Systems (Vital Objects) would be an asset

4. Proven experience with learning new products, technologies and tools

Education:

• Bachelor's degree is preferred

Additional Soft skills:

• Proven negotiation and communication skills

• Proven experience with MS Office suite of software

• Ability to demonstrate confidence and resilience in every day situations

• Good relationship management skills

• Familiar with the various types of standard electronic files

• Excellent listening and interpersonal skills

• Exceptional time management and organizational skills

• Can effectively communicate ideas and recommendations to all levels of the organization

• Results oriented and can manage multiple priorities and projects

• Ability to take initiative and demonstrate good judgement

• Solid collaboration skills with the ability to work autonomously

• Ability to work in a demanding environment

Best vs. Average: a stand out candidate would be someone with an entrepreneurial spirt – can hit the ground running, self-sufficient, and self -starter. They are joining a team that is quickly growing and changing and need to be able to adapt and be flexible

Additional Notes

• Any additional details to share with Suppliers (i.e. team/cultural fit, professional background preference, etc.) – someone who can be flexible, embrace change and adapt to changing environment


We thank you for your interest in the position, however, only those who are qualified will be contacted

Inclusion and Equal Opportunity Employment

Our client is an equal opportunity employer committed to diversity and inclusion; creating an inclusive environment where all team members and clients feel like they belong. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, Aboriginal/Native American status or any other legally-protected factors. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience; accommodations during the application process are available upon request.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-10,[] +3847781424,https://ca.linkedin.com/jobs/view/data-analyst-at-stripe-3847781424?position=10&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=8khDBPdP7jzwi1axmeGB1A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Stripe,Canada,"About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. + +What you'll do + +In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling. + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems +Proficiency in SQL and Python +Strong statistical knowledge +Expertise in visualization and using data insights to make recommendations and achieve goals +Proven ability to manage and deliver on multiple projects with great attention to detail +Ability to clearly communicate results and drive impact +Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights. + + + +Preferred Qualifications + + +Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field. +Prior experience at a growth stage internet or software company. +Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines. +Good understanding of development processes and best practices like engineering standards, code reviews, and testing. + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$128,700 - C$221,900. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
  • Proficiency in SQL and Python
  • Strong statistical knowledge
  • Expertise in visualization and using data insights to make recommendations and achieve goals
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.


Preferred Qualifications

  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
  • Prior experience at a growth stage internet or software company.
  • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.


Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

Pay and benefits

The annual salary range for this role in the primary location is C$128,700 - C$221,900. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3967967043,https://ca.linkedin.com/jobs/view/icqa-data-analyst-at-amazon-3967967043?position=12&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=X98tV0kiq3r8IldeFwZjpA%3D%3D&trk=public_jobs_jserp-result_search-card,ICQA Data Analyst,Amazon,"Bolton, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC + +Job ID: A2691613 +Show more ","
+ + + + + +
+
+ Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

Key job responsibilities

  • Development of data collection processes and data management systems
  • Maintenance of data integrity (0% error rate)
  • Designing of queries, compiling of data, and generation of reports in MS Excel
  • Charting and graphing of data for reporting purposes
  • In depth research of defect trends
  • Data collection and entry as needed
  • Data mining and problem solving
  • Back up for Process Assistant duties

Basic Qualifications

  • 2+ years of professional or military experience
  • Experience with Microsoft Office products and applications

Preferred Qualifications

  • Experience with end-to-end project management

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


Company - Amazon Canada Fulfillment Services, ULC

Job ID: A2691613 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-27,[] +3967962890,https://ca.linkedin.com/jobs/view/icqa-data-analyst-at-amazon-3967962890?position=13&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=iMDU0zSmz4wdM%2B0iyg2%2FDw%3D%3D&trk=public_jobs_jserp-result_search-card,ICQA Data Analyst,Amazon,"Brampton, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC + +Job ID: A2691613 +Show more ","
+ + + + + +
+
+ Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

Key job responsibilities

  • Development of data collection processes and data management systems
  • Maintenance of data integrity (0% error rate)
  • Designing of queries, compiling of data, and generation of reports in MS Excel
  • Charting and graphing of data for reporting purposes
  • In depth research of defect trends
  • Data collection and entry as needed
  • Data mining and problem solving
  • Back up for Process Assistant duties

Basic Qualifications

  • 2+ years of professional or military experience
  • Experience with Microsoft Office products and applications

Preferred Qualifications

  • Experience with end-to-end project management

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


Company - Amazon Canada Fulfillment Services, ULC

Job ID: A2691613 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-27,[] +3989923894,https://ca.linkedin.com/jobs/view/data-analyst-at-bevertec-3989923894?position=16&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=2wj5r3%2F2taMD2XMxrTx3SQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Bevertec,"Toronto, Ontario, Canada","Contract/Hybrid + +Toronto + +Using strong quantitative, mathematical, and critical thinking skills, to calculate and validate pension administration data +Ability to evaluate information +Identify patterns and gaps +Execute a solution within prescribed limits and procedures. +Ability to quickly learn new applications and processes to work on assigned tasks independently. +Ability to work within established timelines and prescribed priorities. +Excels in communication +Operate in a fast-paced team environment. +AS400 knowledge +Power BI +Pension knowledge + +Show more ","
+ + + + + +
+
+

Contract/Hybrid

Toronto

  • Using strong quantitative, mathematical, and critical thinking skills, to calculate and validate pension administration data
  • Ability to evaluate information
  • Identify patterns and gaps
  • Execute a solution within prescribed limits and procedures.
  • Ability to quickly learn new applications and processes to work on assigned tasks independently.
  • Ability to work within established timelines and prescribed priorities.
  • Excels in communication
  • Operate in a fast-paced team environment.
  • AS400 knowledge
  • Power BI
  • Pension knowledge

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3969523560,https://ca.linkedin.com/jobs/view/analyst-data-solutions-at-klick-3969523560?position=18&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=CXU%2B4Znghx%2BJo9V05DXm6g%3D%3D&trk=public_jobs_jserp-result_search-card,"Analyst, Data Solutions",Klick,"Toronto, Ontario, Canada","About Klick Health + +Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick! + +As part of our Analytics team, you'll be at the forefront of the big data revolution, guiding marketing strategies for our diverse range of clients. If you're ready to unleash your creativity and expertise in a fast-paced environment, we invite you to embark on your career journey with us at Klick. + +As an integral part of our forward-thinking team, you'll collaborate closely with top-tier professionals to design, develop, and maintain cutting-edge data solutions. Embrace the challenge of handling growing datasets and navigating the ever-evolving media landscape, all while pushing the boundaries of digital transformation. + +This role isn't just about crunching numbers – it's about driving real impact by merging data solutions into client engagements and marketing sciences products. You'll work hand-in-hand with stakeholders to craft tailored solutions that meet our clients' unique needs, all while showcasing your expertise in both individual and team settings. Your code will serve as the bedrock of our service offering, ensuring optimal performance and maintenance of our systems. + +But it's not just about technical prowess – we're seeking individuals with insatiable curiosity, a drive to challenge the status quo, and a passion for uncovering insights that drive real change. If you're ready to dive deep, tackle complex challenges, and share your discoveries with peers and clients alike, then come join us on the forefront of analytics innovation. At Klick, your love for data will be celebrated and your potential truly unleashed. + +Responsibilities: + + +Work in a collaborative manner and Interact with other analytic team members, Data Analysts, Project Managers, and Business Analysts to learn project data needs and define project scope +Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals (Python and SQL) +Maintain enterprise data warehouse (Snowflake preferred but not required) +Build analytic products in the form of presentations, data outputs, system integrations, business intelligence platforms, and AI outputs +Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of code, queries, and data engineering processes (Git Management, SOP creation, Requirement Maintenance) + + + +Qualifications: + + +4-5 years’ of hands-on practical experience with a minimum of 2 years’ of experience in ETL processing to be used for data analysis and modeling +Minimum 2 years of working knowledge in Python and SQL is a must +Experience working with clickstream data sets and data lakes is a must +Ability to gather requirements from non technical stakeholders and clients +Experience with Business Intelligence platforms such as Power BI, Microsoft Fabric, and Tableau + + + +Bonus Points! + + +Healthcare experience +Post-secondary education in computer science +Demonstrate working knowledge in database design and management + + + +Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. + +We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience. + + +Show more ","
+ + + + + +
+
+ About Klick Health

Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick!

As part of our Analytics team, you'll be at the forefront of the big data revolution, guiding marketing strategies for our diverse range of clients. If you're ready to unleash your creativity and expertise in a fast-paced environment, we invite you to embark on your career journey with us at Klick.

As an integral part of our forward-thinking team, you'll collaborate closely with top-tier professionals to design, develop, and maintain cutting-edge data solutions. Embrace the challenge of handling growing datasets and navigating the ever-evolving media landscape, all while pushing the boundaries of digital transformation.

This role isn't just about crunching numbers – it's about driving real impact by merging data solutions into client engagements and marketing sciences products. You'll work hand-in-hand with stakeholders to craft tailored solutions that meet our clients' unique needs, all while showcasing your expertise in both individual and team settings. Your code will serve as the bedrock of our service offering, ensuring optimal performance and maintenance of our systems.

But it's not just about technical prowess – we're seeking individuals with insatiable curiosity, a drive to challenge the status quo, and a passion for uncovering insights that drive real change. If you're ready to dive deep, tackle complex challenges, and share your discoveries with peers and clients alike, then come join us on the forefront of analytics innovation. At Klick, your love for data will be celebrated and your potential truly unleashed.

Responsibilities:

  • Work in a collaborative manner and Interact with other analytic team members, Data Analysts, Project Managers, and Business Analysts to learn project data needs and define project scope
  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals (Python and SQL)
  • Maintain enterprise data warehouse (Snowflake preferred but not required)
  • Build analytic products in the form of presentations, data outputs, system integrations, business intelligence platforms, and AI outputs
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of code, queries, and data engineering processes (Git Management, SOP creation, Requirement Maintenance)


Qualifications:

  • 4-5 years’ of hands-on practical experience with a minimum of 2 years’ of experience in ETL processing to be used for data analysis and modeling
  • Minimum 2 years of working knowledge in Python and SQL is a must
  • Experience working with clickstream data sets and data lakes is a must
  • Ability to gather requirements from non technical stakeholders and clients
  • Experience with Business Intelligence platforms such as Power BI, Microsoft Fabric, and Tableau


Bonus Points!

  • Healthcare experience
  • Post-secondary education in computer science
  • Demonstrate working knowledge in database design and management


Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities.

We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3983461991,https://ca.linkedin.com/jobs/view/inventory-data-analyst-at-leavitt-machinery-3983461991?position=20&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=eDpj2%2Bvqi3KjD6EDwmG7%2FA%3D%3D&trk=public_jobs_jserp-result_search-card,Inventory Data Analyst,Leavitt Machinery,"Coquitlam, British Columbia, Canada","Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North America. With an entrepreneurial spirit, mission-driven approach, and customer-focused mindset, Leavitt has achieved consistent growth over the past 25 years. + +Leavitt Machinery is now an integral entity within the Venturis group of companies, an integrated and expanding network of businesses, including over 60+ branches and 1400+ employees across Canada and the USA. Venturis Capital strategically invests in visionary and values-driven organizations, with expertise in the material handling equipment industry. + +In addition to our expanding dealership network, the Venturis portfolio includes complementary companies providing financing, freight and logistics, parts manufacturing, industrial parts supply, component rebuilding, training solutions, and marketing. + +With a focus on learning and continuous improvement, we are proud to invest in our people and offer a progressive and flexible work culture where you can develop and advance your career while focusing on meaningful work. + +The Opportunity + +Leavitt Machinery is looking for an Inventory Data Analyst to join our team in Coquitlam, BC. As the Inventory Data Analyst, you will partner with stakeholders to ensure their needs are met by the Parts department, while capitalizing on opportunities to drive business success. + +Essential Duties & Responsibilities + +As the Inventory Data Analyst your key responsibilities will include: + + +Manage and monitor inventory levels to ensure optimal inventory +Conduct periodic inventory audits to ensure accuracy +Perform cycle counts and reconcile discrepancies +Coordinate and support annual count of all inventories +Analyze inventory data to identify trends, forecast needs, and optimize inventory levels +Generate and present reports on inventory levels, usage rates, and forecasted needs +Track key performance indicators (KPIs) related to inventory management +Use historical data to identify demand patterns and adjust inventory levels accordingly +Work with Sales and Operations teams to understand future demand and plan inventory needs +Identify and implement process improvements to enhance inventory management efficiency +Leverage inventory management software and other technologies to streamline operations +Analyze inventory-related costs and identify areas for cost reduction +Ensure compliance with all relevant regulations and standards +Maintain safe inventory storage practices and ensure adherence to safety standards +Provide support to internal teams by ensuring the availability of required parts +Ensure all inventory-related documentation is complete and accurate + + +Required Skills & Qualifications + +The ideal candidate will possess the following skills, knowledge, and competencies: + + +Bachelor's degree in supply chain management, business administration, or a related field preferred +Prior experience in inventory management or a related field +Familiarization with Lean concepts & principles will be considered a strong asset +Previous experience with Microsoft Dynamics ERP is considered an asset +Advanced skills in Excel, including pivot tables, VLOOKUP, macros, and data visualization +Experience with tools such as SQL, Tableau, and Power BI for creating detailed reports +Excellent communication skills, organizational skills, and analytical skills +Ability to manage multiple priorities in parallel and excel in a fast-paced work environment +High level of accuracy and attention to detail + + +Benefits & Perks + +Leavitt Machinery Canada is proud to offer competitive compensation and flexible benefits coverage for all eligible employees, including an employer matching RRSP plan: + + +Company paid medical health care plan for you and your dependents +Extended health plan – 100% employer paid +Dental plan, vision plan, and prescription drug coverage +Annual health care spending account +Life insurance, disability insurance, and travel insurance – 100% employer paid +Sick leave plan – 100% employer paid +Employee assistance programs +RRSP matching +Wellness days +Ongoing professional development opportunities + + +The base pay range for this role is: $50,000-$70,000 annually, depending on experience. + +This is an onsite role based in Coquitlam, BC. + +Leavitt Machinery & Venturis would like to thank all applicants for their interest, however, only qualified applicants will be contacted by Talent Acquisition for an interview. We are an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, religion, sex, national origin, disability status, veteran status, age, sexual orientation, gender identity, or any other characteristic protected by law. + +#LeavittMachinery +Show more ","
+ + + + + +
+
+ Leavitt Machinery is one of the fastest growing material handling equipment dealerships in North America. With an entrepreneurial spirit, mission-driven approach, and customer-focused mindset, Leavitt has achieved consistent growth over the past 25 years.

Leavitt Machinery is now an integral entity within the Venturis group of companies, an integrated and expanding network of businesses, including over 60+ branches and 1400+ employees across Canada and the USA. Venturis Capital strategically invests in visionary and values-driven organizations, with expertise in the material handling equipment industry.

In addition to our expanding dealership network, the Venturis portfolio includes complementary companies providing financing, freight and logistics, parts manufacturing, industrial parts supply, component rebuilding, training solutions, and marketing.

With a focus on learning and continuous improvement, we are proud to invest in our people and offer a progressive and flexible work culture where you can develop and advance your career while focusing on meaningful work.

The Opportunity

Leavitt Machinery is looking for an Inventory Data Analyst to join our team in Coquitlam, BC. As the Inventory Data Analyst, you will partner with stakeholders to ensure their needs are met by the Parts department, while capitalizing on opportunities to drive business success.

Essential Duties & Responsibilities

As the Inventory Data Analyst your key responsibilities will include:

  • Manage and monitor inventory levels to ensure optimal inventory
  • Conduct periodic inventory audits to ensure accuracy
  • Perform cycle counts and reconcile discrepancies
  • Coordinate and support annual count of all inventories
  • Analyze inventory data to identify trends, forecast needs, and optimize inventory levels
  • Generate and present reports on inventory levels, usage rates, and forecasted needs
  • Track key performance indicators (KPIs) related to inventory management
  • Use historical data to identify demand patterns and adjust inventory levels accordingly
  • Work with Sales and Operations teams to understand future demand and plan inventory needs
  • Identify and implement process improvements to enhance inventory management efficiency
  • Leverage inventory management software and other technologies to streamline operations
  • Analyze inventory-related costs and identify areas for cost reduction
  • Ensure compliance with all relevant regulations and standards
  • Maintain safe inventory storage practices and ensure adherence to safety standards
  • Provide support to internal teams by ensuring the availability of required parts
  • Ensure all inventory-related documentation is complete and accurate

Required Skills & Qualifications

The ideal candidate will possess the following skills, knowledge, and competencies:

  • Bachelor's degree in supply chain management, business administration, or a related field preferred
  • Prior experience in inventory management or a related field
  • Familiarization with Lean concepts & principles will be considered a strong asset
  • Previous experience with Microsoft Dynamics ERP is considered an asset
  • Advanced skills in Excel, including pivot tables, VLOOKUP, macros, and data visualization
  • Experience with tools such as SQL, Tableau, and Power BI for creating detailed reports
  • Excellent communication skills, organizational skills, and analytical skills
  • Ability to manage multiple priorities in parallel and excel in a fast-paced work environment
  • High level of accuracy and attention to detail

Benefits & Perks

Leavitt Machinery Canada is proud to offer competitive compensation and flexible benefits coverage for all eligible employees, including an employer matching RRSP plan:

  • Company paid medical health care plan for you and your dependents
  • Extended health plan – 100% employer paid
  • Dental plan, vision plan, and prescription drug coverage
  • Annual health care spending account
  • Life insurance, disability insurance, and travel insurance – 100% employer paid
  • Sick leave plan – 100% employer paid
  • Employee assistance programs
  • RRSP matching
  • Wellness days
  • Ongoing professional development opportunities

The base pay range for this role is: $50,000-$70,000 annually, depending on experience.

This is an onsite role based in Coquitlam, BC.

Leavitt Machinery & Venturis would like to thank all applicants for their interest, however, only qualified applicants will be contacted by Talent Acquisition for an interview. We are an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, religion, sex, national origin, disability status, veteran status, age, sexual orientation, gender identity, or any other characteristic protected by law.

#LeavittMachinery +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3987631471,https://ca.linkedin.com/jobs/view/data-analyst-at-apex-systems-3987631471?position=21&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=IS%2B9QgVuv1XcEthVK1O66Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Apex Systems,"Toronto, Ontario, Canada","Client: Retail IT + + + + +Job Description: + +As an integral member of our organization, the Data Analyst will work with a team of Data Scientists, Product management and Business teams to collect project requirements, identify data, build queries, develop ML models and present findings. + +Responsibilities: + +Coordinate data conversations with stakeholders, data sources +Explore and analyze complex datasets to identify patterns and anomalies (SQL, Python) +Develop and deploy machine learning model. +Work with business to understand logic +Lead data analytics process with the product team to gather insights and identify solutions +Collect, organize, analyze, and present insights. +Organize project steps and document questions, findings, processes (confluence, JIRA) + +Key Qualifications: + +Bachelor's degree in Computer Science or related technical field +2+ years of experience as a data analyst +Experience with SQL, Python, Confluence, Jira +Able to identify source systems and data steward +Able to write and run SQL queries from Data Lake, Big Query, and Vendor Master as required +Experienced in JIRA , scrum ceremonies, and Agile Methodology +Strong SQL skills and experience working with large datasets + +Nice To Have: + +Familiarity with anomaly detection and a variety of ML models and algorithms +Excellent problem-solving skills and attention to detail +Curiosity and a passion for exploring and understanding complex datasets +Strong communication skills + +Show more ","
+ + + + + +
+
+

Client: Retail IT


Job Description:

As an integral member of our organization, the Data Analyst will work with a team of Data Scientists, Product management and Business teams to collect project requirements, identify data, build queries, develop ML models and present findings.

Responsibilities:

  • Coordinate data conversations with stakeholders, data sources
  • Explore and analyze complex datasets to identify patterns and anomalies (SQL, Python)
  • Develop and deploy machine learning model.
  • Work with business to understand logic
  • Lead data analytics process with the product team to gather insights and identify solutions
  • Collect, organize, analyze, and present insights.
  • Organize project steps and document questions, findings, processes (confluence, JIRA)

Key Qualifications:

  • Bachelor's degree in Computer Science or related technical field
  • 2+ years of experience as a data analyst
  • Experience with SQL, Python, Confluence, Jira
  • Able to identify source systems and data steward
  • Able to write and run SQL queries from Data Lake, Big Query, and Vendor Master as required
  • Experienced in JIRA , scrum ceremonies, and Agile Methodology
  • Strong SQL skills and experience working with large datasets

Nice To Have:

  • Familiarity with anomaly detection and a variety of ML models and algorithms
  • Excellent problem-solving skills and attention to detail
  • Curiosity and a passion for exploring and understanding complex datasets
  • Strong communication skills

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3991008544,https://ca.linkedin.com/jobs/view/jr-data-analyst-at-robert-half-3991008544?position=24&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=fAVBwB8YzXuYv6n1sPUM%2Bg%3D%3D&trk=public_jobs_jserp-result_search-card,Jr. Data Analyst,Robert Half,"Edmonton, Alberta, Canada","Description + +The Data Analyst will be responsible for ingesting, cleaning, and processing data from multiple sources. The ideal candidate will have proficiency in Python or R, as well as experience with data visualization tools, including AWS QuickSight. This role involves supporting the dashboard team by ensuring data integrity and creating compelling data visualizations. + + +Ingest and clean data from various sources to ensure accuracy and consistency. +Utilize Python or R to perform data processing tasks. +Work with data visualization tools, specifically AWS QuickSight, to create insightful and actionable visual representations of data. +Collaborate with the dashboard team to support their data needs and contribute to the development of data stories. +Ensure data quality and integrity throughout the processing stages. +Assist in the maintenance and enhancement of data pipelines and workflows. + + +Requirements + + +Proficiency in Python or R for data processing and analysis. +Experience with data visualization tools, particularly AWS QuickSight + + +Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. + +Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. + +Questions? Call your local office at 1.888.490.4429. All applicants applying for Canadian job openings must be authorized to work in Canada. + +Only job postings for jobs located in Quebec appear in French. + +© 2024 Robert Half. By clicking “Apply Now,” you’re agreeing to +Show more ","
+ + + + + +
+
+ Description

The Data Analyst will be responsible for ingesting, cleaning, and processing data from multiple sources. The ideal candidate will have proficiency in Python or R, as well as experience with data visualization tools, including AWS QuickSight. This role involves supporting the dashboard team by ensuring data integrity and creating compelling data visualizations.

  • Ingest and clean data from various sources to ensure accuracy and consistency.
  • Utilize Python or R to perform data processing tasks.
  • Work with data visualization tools, specifically AWS QuickSight, to create insightful and actionable visual representations of data.
  • Collaborate with the dashboard team to support their data needs and contribute to the development of data stories.
  • Ensure data quality and integrity throughout the processing stages.
  • Assist in the maintenance and enhancement of data pipelines and workflows.

Requirements

  • Proficiency in Python or R for data processing and analysis.
  • Experience with data visualization tools, particularly AWS QuickSight

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go.

Questions? Call your local office at 1.888.490.4429. All applicants applying for Canadian job openings must be authorized to work in Canada.

Only job postings for jobs located in Quebec appear in French.

© 2024 Robert Half. By clicking “Apply Now,” you’re agreeing to +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3980471074,https://ca.linkedin.com/jobs/view/business-intelligence-analyst-at-pointsbet-3980471074?position=27&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=NGZ0i9nq9gZrGkypdYSsWg%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,PointsBet,"Toronto, Ontario, Canada","Business Intelligence Analyst + + + + +About PointsBet + + + + +Originally founded in the mature sports wagering market of Australia, PointsBet is one of the fastest growing operators in the industry. Our growth is driven by our continued investment in our proprietary gaming platform. Our in-house approach to technology powers innovative and personalized customer experiences that has driven our success. In addition to our leading sports platform, we have a growing competitive digital casino business that allows PointsBet Canada to serve customers with a full suite of gaming experiences. + + + + +We believe in the power of fandom and have partnered with leading sports organizations to provide both our customers and team members access to truly unique sporting experiences. In Canada we are the official partner of the Toronto Maple Leafs, the Toronto Raptors, the Toronto FC, the Toronto Argonauts and the Ottawa Red Blacks, Curling Canada, and Clublink Canada. + + + + +PointsBet Canada is a fast paced, dynamic and rapidly growing business. We have built a culture of high performance by ensuring our employees are able to contribute fully, are well supported, and encouraged to be their authentic selves. If you are in search of a new opportunity that values people, creativity, opportunity, results, and a commitment to excellence, then PointsBet is where you want to be! + + + + +About this Opportunity + +Reporting to the Business Intelligence Manager, the Business Intelligence Analyst delivers reporting solutions to different business stakeholders to help them with their processes. Alongside with the rest of the Business Intelligence team, you will bridge the gap between the technical environment of different data sources and the set of requirements the business needs through impactful and easy to understand reports. + + + + +Responsibilities: + +Develop operational and analytical reports, dashboards, datasets, and another reporting tools for various departments. +Extract, interpret, and present data to build business insights using SQL and Power BI +Communicate insights to business stakeholders in a manner that aids and informs their decision making. +Become an expert in the data and information of digital wagering. +Assist users to define, clarify, and document reporting and analytical requirements. +Build and maintain a strong documentation repository for all BI related works. +Perform data mining and/or scraping as the business need requires. + + + + +Requirements: + +Organized approach to documentation. Should be able to effectively translate specific events or actions taken into a well-organized, easy to understand document. +Good experience in multitasking and adapting inside a dynamic business environment. +Intermediate to expert level in MS Excel +Experience in querying data using T-SQL and developing Power BI reports is a plus. +Post secondary education is required. + + + + +Perks and Benefits + +Competitive Benefits Package +Paid Volunteer Days +EAP Program Access +Social Events (sporting events, concerts, happy hours, holiday parties, team outings) +RRSP Matching Program +A welcoming environment filled with opportunity and positive energy + + + + +Important Information + + + + +PointsBet Canada views responsible gambling not only as an ethical responsibility but as an important part of a sustainable business model. We’re proud to be recognized as a socially responsible operator committed to integrating responsible gambling resources and tools throughout the entire player journey. + + + + +PointsBet Canada is an equal opportunity employer, committed to inclusion and diversity. PointsBet Canada does not discriminate based on race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, genetic characteristics, disability or any other basis forbidden under federal, provincial, or local law. + + + + +Accommodations are available on request for candidates taking part in all aspects of the recruitment process. If you require accommodation, or require recruitment documents in an alternative format, please contact us at can-hr@pointsbet.com. + +Show more ","
+ + + + + +
+
+

Business Intelligence Analyst


About PointsBet


Originally founded in the mature sports wagering market of Australia, PointsBet is one of the fastest growing operators in the industry. Our growth is driven by our continued investment in our proprietary gaming platform. Our in-house approach to technology powers innovative and personalized customer experiences that has driven our success. In addition to our leading sports platform, we have a growing competitive digital casino business that allows PointsBet Canada to serve customers with a full suite of gaming experiences.


We believe in the power of fandom and have partnered with leading sports organizations to provide both our customers and team members access to truly unique sporting experiences. In Canada we are the official partner of the Toronto Maple Leafs, the Toronto Raptors, the Toronto FC, the Toronto Argonauts and the Ottawa Red Blacks, Curling Canada, and Clublink Canada.


PointsBet Canada is a fast paced, dynamic and rapidly growing business. We have built a culture of high performance by ensuring our employees are able to contribute fully, are well supported, and encouraged to be their authentic selves. If you are in search of a new opportunity that values people, creativity, opportunity, results, and a commitment to excellence, then PointsBet is where you want to be!


About this Opportunity

Reporting to the Business Intelligence Manager, the Business Intelligence Analyst delivers reporting solutions to different business stakeholders to help them with their processes. Alongside with the rest of the Business Intelligence team, you will bridge the gap between the technical environment of different data sources and the set of requirements the business needs through impactful and easy to understand reports.


Responsibilities:

  • Develop operational and analytical reports, dashboards, datasets, and another reporting tools for various departments.
  • Extract, interpret, and present data to build business insights using SQL and Power BI
  • Communicate insights to business stakeholders in a manner that aids and informs their decision making.
  • Become an expert in the data and information of digital wagering.
  • Assist users to define, clarify, and document reporting and analytical requirements.
  • Build and maintain a strong documentation repository for all BI related works.
  • Perform data mining and/or scraping as the business need requires.


Requirements:

  • Organized approach to documentation. Should be able to effectively translate specific events or actions taken into a well-organized, easy to understand document.
  • Good experience in multitasking and adapting inside a dynamic business environment.
  • Intermediate to expert level in MS Excel
  • Experience in querying data using T-SQL and developing Power BI reports is a plus.
  • Post secondary education is required.


Perks and Benefits

  • Competitive Benefits Package
  • Paid Volunteer Days
  • EAP Program Access
  • Social Events (sporting events, concerts, happy hours, holiday parties, team outings)
  • RRSP Matching Program
  • A welcoming environment filled with opportunity and positive energy


Important Information


PointsBet Canada views responsible gambling not only as an ethical responsibility but as an important part of a sustainable business model. We’re proud to be recognized as a socially responsible operator committed to integrating responsible gambling resources and tools throughout the entire player journey.


PointsBet Canada is an equal opportunity employer, committed to inclusion and diversity. PointsBet Canada does not discriminate based on race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, genetic characteristics, disability or any other basis forbidden under federal, provincial, or local law.


Accommodations are available on request for candidates taking part in all aspects of the recruitment process. If you require accommodation, or require recruitment documents in an alternative format, please contact us at can-hr@pointsbet.com.

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3994514308,https://ca.linkedin.com/jobs/view/data-analyst-at-j-m-group-3994514308?position=28&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=GMwy9hBnAtwDPFKxxnFSFw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,J&M Group,"Toronto, Ontario, Canada","3-5 Years of Experience as Data Analyst with skills of Data analysis, SQL, Azure Big data +Technical experience in data management methodologies and data systems. +Skill in using software applications including MS Office Skill in using advanced analytical software tools, data analysis methods and specialized reporting techniques Basis database, etl and reporting understanding, which includes SQL skills using SQL tools such SQL Developer or TOAD to query data from data warehouses. +Skill in agile methodologies and tools including Jira/Confluence. +Ability to understand Architecture and Network documents Ability to work on infrastructure projects: Data encryption, Logging/Monitoring, Various Security Tools etc. +Ability to independently identify, assess, and escalate issues requiring senior management attention +Ability to communicate effectively in both oral and written form +Ability to work collaboratively and build relationships +Ability to work independently and successfully as a member of a team Ability to exercise sound judgement in making decisions +Show more ","
+ + + + + +
+
+
  • 3-5 Years of Experience as Data Analyst with skills of Data analysis, SQL, Azure Big data
  • Technical experience in data management methodologies and data systems.
  • Skill in using software applications including MS Office Skill in using advanced analytical software tools, data analysis methods and specialized reporting techniques Basis database, etl and reporting understanding, which includes SQL skills using SQL tools such SQL Developer or TOAD to query data from data warehouses.
  • Skill in agile methodologies and tools including Jira/Confluence.
  • Ability to understand Architecture and Network documents Ability to work on infrastructure projects: Data encryption, Logging/Monitoring, Various Security Tools etc.
  • Ability to independently identify, assess, and escalate issues requiring senior management attention
  • Ability to communicate effectively in both oral and written form
  • Ability to work collaboratively and build relationships
  • Ability to work independently and successfully as a member of a team Ability to exercise sound judgement in making decisions
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3971682723,https://ca.linkedin.com/jobs/view/powerbi-consultant-at-global-technical-talent-an-inc-5000-company-3971682723?position=29&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=eXJTi0az8HUKIRj1RpFXjQ%3D%3D&trk=public_jobs_jserp-result_search-card,PowerBI Consultant,"Global Technical Talent, an Inc. 5000 Company","Toronto, Ontario, Canada","Contract Duration 3+ Months +Pay range C$70 - 100/Hour + + +Job Description: + + +The Microsoft Power BI Consultant will lead the launch of a new instance of Microsoft Power BI. +The PowerBI Consultant will collaborate with business unit leaders to understand their needs and requirements for interactive data visualization. +This techno-functional role will also involve data mapping requirements from multiple independent systems. + + +Top 3 Skills: + + +Proven experience in implementing Microsoft Power BI solutions +Strong understanding of data visualization and business intelligence +Experience with the design, development, and deployment of interactive dashboards and reports +Proficiency in data mapping and integration from multiple systems + + +#gttca + +24-08632 + + +Show more ","
+ + + + + +
+
+
  • Contract Duration 3+ Months
  • Pay range C$70 - 100/Hour

Job Description:

  • The Microsoft Power BI Consultant will lead the launch of a new instance of Microsoft Power BI.
  • The PowerBI Consultant will collaborate with business unit leaders to understand their needs and requirements for interactive data visualization.
  • This techno-functional role will also involve data mapping requirements from multiple independent systems.

Top 3 Skills:

  • Proven experience in implementing Microsoft Power BI solutions
  • Strong understanding of data visualization and business intelligence
  • Experience with the design, development, and deployment of interactive dashboards and reports
  • Proficiency in data mapping and integration from multiple systems

#gttca

24-08632

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3962893888,https://ca.linkedin.com/jobs/view/business-analyst-data-analyst-at-swiss-re-3962893888?position=31&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=eaCAkQKTyhc5M9kt6iNmzQ%3D%3D&trk=public_jobs_jserp-result_search-card,Business Analyst/Data Analyst,Swiss Re,"Toronto, Ontario, Canada","In this dynamic role, you will be responsible for client data ingestion, ensuring seamless integration of external client data to enhance our analytics capabilities and provide valuable insights to our stakeholders. Join us in our data-driven journey. + +About The Role + +As a Business Analyst, you'll be at the forefront of transforming raw data into actionable insights and innovative products. With a keen eye for detail and passion for problem solving, you'll play a pivotal role in shaping the company's data strategy and driving business success + +In This Role, Your Key Business Responsibilities Will Include + + +Identify data product opportunities, including new products and product enhancements, through design thinking sessions and stakeholder engagement +Collaborate with cross-functional stakeholders, such as Technical Accounting, Experience Studies, Valuation, and Inforce Optimization, to gather and document product requirements +Translate product requirements into clear and actionable user stories or product specifications +Develop and implement tactical data products using available tools and support user onboarding +Develop and maintain key metrics to measure product success +Understand L&H Re systems and processes to advise and assist IT in system enhancements and migrating tactical products into strategic ones +Design, map, and code complex and unique client data setups + + +About The Team + +The Data Management & Insights [DMI] team is part of Business Excellence delivering on the promise of a stable end-to-end operating platform for Life & Health Reinsurance [L&H Re]. Their mission is to make client data accessible to stakeholders by systematically acquiring and ingesting it. The team utilizes advanced analytics techniques to generate valuable insights for L&H Re. With a continuous improvement mindset, they strive to enhance data, systems, and processes for both their own use and their stakeholders. + +About You + +You have proven strategic, analytical, and conceptual thinking abilities. You have effective communication skills, with the ability to present complex data and insights to stakeholders clearly and concisely. + +Essential Skills + + +Bachelor of Science degree with 5+ years of relevant experience +Proficient in data mapping, ETL processing, and data integration +Strong understanding of data structures and testing methodologies for onboarding large and complex client datasets +Proficient in SQL, Python/R coding + + +Nice To Have + + +Good understanding of relational databases, such as Oracle and SQL Server +Experience in handling large volumes of structured and unstructured data +Familiarity with best practices of data management and governance +Experience working in Waterfall and Agile projects, while leading projects being a plus +Hands-on experience with Data Integration tools (e.g. Palantir) and techniques (e.g. EDA, predictive & prescriptive analysis), and visualization software such as Power BI + + +Our company has a hybrid work model where the expectation is that you will be in the office two to three days per week on average. + +This role will be unable to offer any assistance with relocation or visa sponsorship. + +About Swiss Re + +Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. + +Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. + +Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled. + +During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed. + +Keywords + +Reference Code: 130238 +Show more ","
+ + + + + +
+
+ In this dynamic role, you will be responsible for client data ingestion, ensuring seamless integration of external client data to enhance our analytics capabilities and provide valuable insights to our stakeholders. Join us in our data-driven journey.

About The Role

As a Business Analyst, you'll be at the forefront of transforming raw data into actionable insights and innovative products. With a keen eye for detail and passion for problem solving, you'll play a pivotal role in shaping the company's data strategy and driving business success

In This Role, Your Key Business Responsibilities Will Include

  • Identify data product opportunities, including new products and product enhancements, through design thinking sessions and stakeholder engagement
  • Collaborate with cross-functional stakeholders, such as Technical Accounting, Experience Studies, Valuation, and Inforce Optimization, to gather and document product requirements
  • Translate product requirements into clear and actionable user stories or product specifications
  • Develop and implement tactical data products using available tools and support user onboarding
  • Develop and maintain key metrics to measure product success
  • Understand L&H Re systems and processes to advise and assist IT in system enhancements and migrating tactical products into strategic ones
  • Design, map, and code complex and unique client data setups

About The Team

The Data Management & Insights [DMI] team is part of Business Excellence delivering on the promise of a stable end-to-end operating platform for Life & Health Reinsurance [L&H Re]. Their mission is to make client data accessible to stakeholders by systematically acquiring and ingesting it. The team utilizes advanced analytics techniques to generate valuable insights for L&H Re. With a continuous improvement mindset, they strive to enhance data, systems, and processes for both their own use and their stakeholders.

About You

You have proven strategic, analytical, and conceptual thinking abilities. You have effective communication skills, with the ability to present complex data and insights to stakeholders clearly and concisely.

Essential Skills

  • Bachelor of Science degree with 5+ years of relevant experience
  • Proficient in data mapping, ETL processing, and data integration
  • Strong understanding of data structures and testing methodologies for onboarding large and complex client datasets
  • Proficient in SQL, Python/R coding

Nice To Have

  • Good understanding of relational databases, such as Oracle and SQL Server
  • Experience in handling large volumes of structured and unstructured data
  • Familiarity with best practices of data management and governance
  • Experience working in Waterfall and Agile projects, while leading projects being a plus
  • Hands-on experience with Data Integration tools (e.g. Palantir) and techniques (e.g. EDA, predictive & prescriptive analysis), and visualization software such as Power BI

Our company has a hybrid work model where the expectation is that you will be in the office two to three days per week on average.

This role will be unable to offer any assistance with relocation or visa sponsorship.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

Keywords

Reference Code: 130238 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-20,[] +3967967037,https://ca.linkedin.com/jobs/view/icqa-data-analyst-at-amazon-3967967037?position=32&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=kalt0VkBhjMXjaKXbHmbvQ%3D%3D&trk=public_jobs_jserp-result_search-card,ICQA Data Analyst,Amazon,"Cambridge, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC. + +Job ID: A2691610 +Show more ","
+ + + + + +
+
+ Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

Key job responsibilities

  • Development of data collection processes and data management systems
  • Maintenance of data integrity (0% error rate)
  • Designing of queries, compiling of data, and generation of reports in MS Excel
  • Charting and graphing of data for reporting purposes
  • In depth research of defect trends
  • Data collection and entry as needed
  • Data mining and problem solving
  • Back up for Process Assistant duties

Basic Qualifications

  • 2+ years of professional or military experience
  • Experience with Microsoft Office products and applications

Preferred Qualifications

  • Experience with end-to-end project management

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


Company - Amazon Canada Fulfillment Services, ULC.

Job ID: A2691610 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-27,[] +3983719121,https://ca.linkedin.com/jobs/view/data-analyst-intern-at-american-iron-metal-aim-3983719121?position=33&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=ubRzFFl%2BWW5QQRc0ab4IXg%3D%3D&trk=public_jobs_jserp-result_search-card,Data analyst intern,American Iron & Metal (AIM),"Montréal-Est, Quebec, Canada","Company Description + +American Iron & Metal (AIM) is a family-owned company and recognized global leader in the metal recycling industry with more than 125 sites and 4000 employees worldwide. We have continued to prosper for the last eight decades thanks to the dedication of our employees and the ongoing trust and support of our customers. + +Become part of team AIM, a growing team with an entrepreneurial spirit who has over the years evolved into a successful and multifaceted company with business divisions that include metal recycling, decommissioning and demolition, auto-parts sales and recycling, manufacturing of solder assemblies, construction waste recycling, and production of customized industrial and mining products. + +We take pride in doing good things for the environment to help create a greener, more sustainable future for all. + +It’s simple; we do it right. We AIM for excellence. + +What we offer! + + +3 months paid internship +Free on-site gym. +Two on-site cafeterias (subsidized meal program available). +Dynamic and rewarding work environment - work on important and meaningful projects while having fun! + + +Job Description + +We are seeking a motivated and detail-oriented intern to join our team as a Data Analyst Intern. In this role, you will work closely with our Maximo system, which is used for asset management and maintenance. Your primary responsibility will be to clean and enhance data within the Maximo database, ensuring its accuracy and reliability. + +Responsibilities: + +Data Analysis: + + +Review and analyze data within the Maximo system. +Identify inconsistencies, errors, and duplicates. +Correct data entries, standardize formats, and remove irrelevant information. +Collaborate with other team members to validate data changes. + + +Excel and Access: + + +Utilize Microsoft Excel and Access to manipulate and transform data. +Create and execute queries to extract relevant information. +Develop macros or scripts to automate data cleaning processes. +Ensure data integrity during import/export between Maximo and Excel/Access. + + +Documentation: + + +Maintain clear documentation of data cleansing procedures. +Record any issues encountered and their resolutions. +Document best practices for future reference. +Quality Assurance: +Validate the accuracy of cleaned data. +Perform data validation checks to ensure consistency. +Assist in testing data migration processes. + + +Collaboration: + + +Work closely with Maximo administrators and other team members. +Participate in team meetings and contribute insights on data quality improvement. + + +Qualifications + + +Currently pursuing a degree in Computer Science, Information Systems, or a related field. +Proficiency in Microsoft Excel and Access. +Strong attention to detail and analytical skills. +Ability to follow data cleansing guidelines and procedures. +Excellent communication and teamwork skills. + + +Additional Information + + +Full time (40h) + + +American Iron & Metal and its subsidiaries is an equal opportunity employer. All qualified applicants are given consideration regardless of race, religion, colour, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable employment laws.  + +Although we’d love to be able to speak with everyone that applies, due to the volume of applicants we receive and time constraints, only those selected to move forward will be contacted.  +Show more ","
+ + + + + +
+
+ Company Description

American Iron & Metal (AIM) is a family-owned company and recognized global leader in the metal recycling industry with more than 125 sites and 4000 employees worldwide. We have continued to prosper for the last eight decades thanks to the dedication of our employees and the ongoing trust and support of our customers.

Become part of team AIM, a growing team with an entrepreneurial spirit who has over the years evolved into a successful and multifaceted company with business divisions that include metal recycling, decommissioning and demolition, auto-parts sales and recycling, manufacturing of solder assemblies, construction waste recycling, and production of customized industrial and mining products.

We take pride in doing good things for the environment to help create a greener, more sustainable future for all.

It’s simple; we do it right. We AIM for excellence.

What we offer!

  • 3 months paid internship
  • Free on-site gym.
  • Two on-site cafeterias (subsidized meal program available).
  • Dynamic and rewarding work environment - work on important and meaningful projects while having fun!

Job Description

We are seeking a motivated and detail-oriented intern to join our team as a Data Analyst Intern. In this role, you will work closely with our Maximo system, which is used for asset management and maintenance. Your primary responsibility will be to clean and enhance data within the Maximo database, ensuring its accuracy and reliability.

Responsibilities:

Data Analysis:

  • Review and analyze data within the Maximo system.
  • Identify inconsistencies, errors, and duplicates.
  • Correct data entries, standardize formats, and remove irrelevant information.
  • Collaborate with other team members to validate data changes.

Excel and Access:

  • Utilize Microsoft Excel and Access to manipulate and transform data.
  • Create and execute queries to extract relevant information.
  • Develop macros or scripts to automate data cleaning processes.
  • Ensure data integrity during import/export between Maximo and Excel/Access.

Documentation:

  • Maintain clear documentation of data cleansing procedures.
  • Record any issues encountered and their resolutions.
  • Document best practices for future reference.
  • Quality Assurance:
  • Validate the accuracy of cleaned data.
  • Perform data validation checks to ensure consistency.
  • Assist in testing data migration processes.

Collaboration:

  • Work closely with Maximo administrators and other team members.
  • Participate in team meetings and contribute insights on data quality improvement.

Qualifications

  • Currently pursuing a degree in Computer Science, Information Systems, or a related field.
  • Proficiency in Microsoft Excel and Access.
  • Strong attention to detail and analytical skills.
  • Ability to follow data cleansing guidelines and procedures.
  • Excellent communication and teamwork skills.

Additional Information

  • Full time (40h)

American Iron & Metal and its subsidiaries is an equal opportunity employer. All qualified applicants are given consideration regardless of race, religion, colour, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable employment laws. 

Although we’d love to be able to speak with everyone that applies, due to the volume of applicants we receive and time constraints, only those selected to move forward will be contacted.  +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3988088927,https://ca.linkedin.com/jobs/view/data-analyst-at-robert-half-3988088927?position=35&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=ckV2hrcIan17vwyGlgShpw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Robert Half,"Ottawa, Ontario, Canada","Description + +A global leader in advancing aviation safety and optimizing operational efficiency through cutting-edge technology is expanding its dynamic team of 40+ professionals. Renowned as a high-tech company and seasoned subject-matter experts in flight data analysis technologies, we are seeking a talented individual to fill the role of DATA ANALYST, SPECIAL PROJECTS. + +Duties + +As a Data Analyst, you will leverage data science techniques and tools to collect, process, analyze, and visualize extensive datasets. The primary objective of this position is to derive insights and solutions that enhance safety, efficiency, and profitability within the aviation industry. Key responsibilities and tasks for this role include: + + +Collaborate with domain experts, engineers, and business stakeholders to comprehend aviation industry challenges and objectives, defining data requirements and specifications. +Utilize Python-based tools to acquire, clean, transform, and integrate data from diverse sources, including flight data recorders, air traffic control, weather, navigation, and maintenance systems. +Develop and deploy data products and solutions, such as dashboards, reports, models, or algorithms, to offer actionable insights and recommendations for the aviation sector. +Communicate and present data analysis results and findings to both technical and non-technical audiences, employing data visualization techniques and tools like Bokeh and Power BI. +Conduct research and experiments to explore innovative data sources, methods, and technologies to enhance flight data analysis capabilities. +Present work at conferences and trade shows. +Ensure the security, integrity, and confidentiality of all data and documents. +Maintain a high level of discretion and confidentiality. +Perform other duties as assigned. + + +If you are passionate about leveraging data to drive innovation in aviation and meet these qualifications, we invite you to join our dynamic team and contribute to shaping the future of aviation safety and efficiency. + +Requirements + +Qualifications / Experience: + + +Bachelor's degree in Engineering, Mathematics, Computer Science, or Physics. +Strong programming skills with detailed experience in Python. +Understanding of aircraft performance and aviation safety principles, or the ability to quickly acquire this knowledge. + + +Asset + + +Familiarity with Flight Data Analysis (FDA) principles and applications. +Experience with PowerBi and Bokeh. +Experience with Machine Learning frameworks. +Experience with Sensor Fusion methods. +Familiarity with aircraft data recording systems (A717, A767, etc.). + + +Robert Half est la première et la plus grande firme de solutions de gestion des talents spécialisées au monde, qui met en relation des chercheurs d'emploi hautement qualifiés avec des opportunités au sein de grandes entreprises. Nous offrons des solutions de placement contractuel, temporaire et permanent dans les domaines de la finance et de la comptabilité, des technologies, du marketing et de la création, et du soutien administratif et à la clientèle. + +Robert Half vous met dans la meilleure position pour réussir. Nous vous donnons accès aux meilleurs emplois, à une rémunération et à des avantages sociaux compétitifs, ainsi qu'à des formations en ligne gratuites. Restez au courant de toutes les opportunités, peu importe où vous êtes - même en déplacement. + +Des questions? Communiquez avec le bureau de votre région au 1.888.490.4429. Tous les candidats répondant à des offres d’emploi au Canada doivent être autorisés à y travailler. + +Seules les descriptions de postes situés au Québec apparaissent en français. + +© Robert Half, 2024. Numéro de permis du Québec AP-2000503. En cliquant sur « Postuler maintenant », vous acceptez les +Show more ","
+ + + + + +
+
+ Description

A global leader in advancing aviation safety and optimizing operational efficiency through cutting-edge technology is expanding its dynamic team of 40+ professionals. Renowned as a high-tech company and seasoned subject-matter experts in flight data analysis technologies, we are seeking a talented individual to fill the role of DATA ANALYST, SPECIAL PROJECTS.

Duties

As a Data Analyst, you will leverage data science techniques and tools to collect, process, analyze, and visualize extensive datasets. The primary objective of this position is to derive insights and solutions that enhance safety, efficiency, and profitability within the aviation industry. Key responsibilities and tasks for this role include:

  • Collaborate with domain experts, engineers, and business stakeholders to comprehend aviation industry challenges and objectives, defining data requirements and specifications.
  • Utilize Python-based tools to acquire, clean, transform, and integrate data from diverse sources, including flight data recorders, air traffic control, weather, navigation, and maintenance systems.
  • Develop and deploy data products and solutions, such as dashboards, reports, models, or algorithms, to offer actionable insights and recommendations for the aviation sector.
  • Communicate and present data analysis results and findings to both technical and non-technical audiences, employing data visualization techniques and tools like Bokeh and Power BI.
  • Conduct research and experiments to explore innovative data sources, methods, and technologies to enhance flight data analysis capabilities.
  • Present work at conferences and trade shows.
  • Ensure the security, integrity, and confidentiality of all data and documents.
  • Maintain a high level of discretion and confidentiality.
  • Perform other duties as assigned.

If you are passionate about leveraging data to drive innovation in aviation and meet these qualifications, we invite you to join our dynamic team and contribute to shaping the future of aviation safety and efficiency.

Requirements

Qualifications / Experience:

  • Bachelor's degree in Engineering, Mathematics, Computer Science, or Physics.
  • Strong programming skills with detailed experience in Python.
  • Understanding of aircraft performance and aviation safety principles, or the ability to quickly acquire this knowledge.

Asset

  • Familiarity with Flight Data Analysis (FDA) principles and applications.
  • Experience with PowerBi and Bokeh.
  • Experience with Machine Learning frameworks.
  • Experience with Sensor Fusion methods.
  • Familiarity with aircraft data recording systems (A717, A767, etc.).

Robert Half est la première et la plus grande firme de solutions de gestion des talents spécialisées au monde, qui met en relation des chercheurs d'emploi hautement qualifiés avec des opportunités au sein de grandes entreprises. Nous offrons des solutions de placement contractuel, temporaire et permanent dans les domaines de la finance et de la comptabilité, des technologies, du marketing et de la création, et du soutien administratif et à la clientèle.

Robert Half vous met dans la meilleure position pour réussir. Nous vous donnons accès aux meilleurs emplois, à une rémunération et à des avantages sociaux compétitifs, ainsi qu'à des formations en ligne gratuites. Restez au courant de toutes les opportunités, peu importe où vous êtes - même en déplacement.

Des questions? Communiquez avec le bureau de votre région au 1.888.490.4429. Tous les candidats répondant à des offres d’emploi au Canada doivent être autorisés à y travailler.

Seules les descriptions de postes situés au Québec apparaissent en français.

© Robert Half, 2024. Numéro de permis du Québec AP-2000503. En cliquant sur « Postuler maintenant », vous acceptez les +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3960939194,https://ca.linkedin.com/jobs/view/icqa-data-analyst-bolton-on-yyz7-at-amazon-3960939194?position=38&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=gEdYghBjQyzp29AMQO27IA%3D%3D&trk=public_jobs_jserp-result_search-card,"ICQA Data Analyst - Bolton, ON, YYZ7",Amazon,"Bolton, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC. + +Job ID: A2684542 +Show more ","
+ + + + + +
+
+ Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

Key job responsibilities

  • Development of data collection processes and data management systems
  • Maintenance of data integrity (0% error rate)
  • Designing of queries, compiling of data, and generation of reports in MS Excel
  • Charting and graphing of data for reporting purposes
  • In depth research of defect trends
  • Data collection and entry as needed
  • Data mining and problem solving
  • Back up for Process Assistant duties

Basic Qualifications

  • 2+ years of professional or military experience
  • Experience with Microsoft Office products and applications

Preferred Qualifications

  • Experience with end-to-end project management

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


Company - Amazon Canada Fulfillment Services, ULC.

Job ID: A2684542 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3992935644,https://ca.linkedin.com/jobs/view/data-analyst-canada-at-undertone-by-perion-3992935644?position=41&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=0XyDIdImXk8rj9kts7WRiQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Canada,Undertone by Perion,"Montreal, Quebec, Canada","Undertone sits at the intersection of creative, data, and distribution, delivering award-winning creative experiences for the world's leading brands. Through our synchronized digital branding solution, we deliver cohesive stories that reach consumers across the most important touchpoints, screens, and platforms. We eliminate fragmentation and ensure brand messaging is synchronized and perfectly aligned with campaign KPIs—always with beautiful creative and in brand-safe environments. + +As member of the Undertone's UDMS Team, the Data Analyst drives value by providing provocative, differentiating analytics and insights. This position will support a wide variety of business intelligence efforts across Undertone while working in a highly collaborative manner within multiple large, cloud-based data sources to identify insights and spearhead our next generation product offerings. Most importantly, you should ""love"" the data, working with data, finding the nuance that leads to key differentiation for the business and our customers. This is a high visibility analytics and consulting position requiring daily interaction with business users, data scientists, engineers and key stakeholders. + +Job Responsibilities: + + +Work with business teams to understand their analytical needs, including identifying critical metrics and KPIs +Use analytical and problem-solving skills to deliver actionable insights to relevant decision makers +Develop rich interactive visualizations integrating various reporting components from multiple data sources +Use SQL, Tableau and other technologies to pull data from different backend systems and product meaningful information and visualizations +Take complicated problems and build simple frameworks +Work directly with users and management to gather requirements, provide status updates, and build good relationships and rapport + + +Profile and Experience: + + +A minimum of 4 year of a full-time data analytics experience, ideally in an Ad-tech company +A minimum of a Bachelor's degree in Engineering, Mathematics, Business, or related field +Expert SQL coding skills against large data sets +Strong analytical skills, including the ability to mine data in order to draw meaningful conclusions +Strong oral and written communications skills +Knowledge of Business Intelligence tools such as Tableau + + +Undertone is committed to building a company whose staff reflects the true diversity of our community. Our employees are hired, promoted, and rewarded on the basis of talent, performance, dedication and results. We embrace our diversity and are proud to be an Equal Opportunity Employer that welcomes all candidates without regard to race, creed, color, religion, national origin, alienage or citizenship status, sex, age, sexual orientation, gender identity, marital status, partnership status, ancestry, disability or veteran status. +Show more ","
+ + + + + +
+
+ Undertone sits at the intersection of creative, data, and distribution, delivering award-winning creative experiences for the world's leading brands. Through our synchronized digital branding solution, we deliver cohesive stories that reach consumers across the most important touchpoints, screens, and platforms. We eliminate fragmentation and ensure brand messaging is synchronized and perfectly aligned with campaign KPIs—always with beautiful creative and in brand-safe environments.

As member of the Undertone's UDMS Team, the Data Analyst drives value by providing provocative, differentiating analytics and insights. This position will support a wide variety of business intelligence efforts across Undertone while working in a highly collaborative manner within multiple large, cloud-based data sources to identify insights and spearhead our next generation product offerings. Most importantly, you should ""love"" the data, working with data, finding the nuance that leads to key differentiation for the business and our customers. This is a high visibility analytics and consulting position requiring daily interaction with business users, data scientists, engineers and key stakeholders.

Job Responsibilities:

  • Work with business teams to understand their analytical needs, including identifying critical metrics and KPIs
  • Use analytical and problem-solving skills to deliver actionable insights to relevant decision makers
  • Develop rich interactive visualizations integrating various reporting components from multiple data sources
  • Use SQL, Tableau and other technologies to pull data from different backend systems and product meaningful information and visualizations
  • Take complicated problems and build simple frameworks
  • Work directly with users and management to gather requirements, provide status updates, and build good relationships and rapport

Profile and Experience:

  • A minimum of 4 year of a full-time data analytics experience, ideally in an Ad-tech company
  • A minimum of a Bachelor's degree in Engineering, Mathematics, Business, or related field
  • Expert SQL coding skills against large data sets
  • Strong analytical skills, including the ability to mine data in order to draw meaningful conclusions
  • Strong oral and written communications skills
  • Knowledge of Business Intelligence tools such as Tableau

Undertone is committed to building a company whose staff reflects the true diversity of our community. Our employees are hired, promoted, and rewarded on the basis of talent, performance, dedication and results. We embrace our diversity and are proud to be an Equal Opportunity Employer that welcomes all candidates without regard to race, creed, color, religion, national origin, alienage or citizenship status, sex, age, sexual orientation, gender identity, marital status, partnership status, ancestry, disability or veteran status. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3992938217,https://ca.linkedin.com/jobs/view/data-analyst-canada-at-perion-network-3992938217?position=42&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=EMtn1j1MCtToOC08UxzIzg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Canada,Perion Network,"Montreal, Quebec, Canada","Perion is a global advertising technology company delivering solutions to the biggest brands and publishers around the globe across search, social media and display, video and CTV. + +Home to an award-winning technology solution –– with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We're working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native. + +As member of the Undertone's UDMS Team, the Data Analyst drives value by providing provocative, differentiating analytics and insights. This position will support a wide variety of business intelligence efforts across Undertone while working in a highly collaborative manner within multiple large, cloud-based data sources to identify insights and spearhead our next generation product offerings. Most importantly, you should ""love"" the data, working with data, finding the nuance that leads to key differentiation for the business and our customers. This is a high visibility analytics and consulting position requiring daily interaction with business users, data scientists, engineers and key stakeholders. + +Job Responsibilities: + + +Work with business teams to understand their analytical needs, including identifying critical metrics and KPIs +Use analytical and problem-solving skills to deliver actionable insights to relevant decision makers +Develop rich interactive visualizations integrating various reporting components from multiple data sources +Use SQL, Tableau and other technologies to pull data from different backend systems and product meaningful information and visualizations +Take complicated problems and build simple frameworks +Work directly with users and management to gather requirements, provide status updates, and build good relationships and rapport + + +Profile and Experience: + + +A minimum of 4 year of a full-time data analytics experience, ideally in an Ad-tech company +A minimum of a Bachelor's degree in Engineering, Mathematics, Business, or related field +Expert SQL coding skills against large data sets +Strong analytical skills, including the ability to mine data in order to draw meaningful conclusions +Strong oral and written communications skills +Knowledge of Business Intelligence tools such as Tableau +Show more ","
+ + + + + +
+
+ Perion is a global advertising technology company delivering solutions to the biggest brands and publishers around the globe across search, social media and display, video and CTV.

Home to an award-winning technology solution –– with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We're working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native.

As member of the Undertone's UDMS Team, the Data Analyst drives value by providing provocative, differentiating analytics and insights. This position will support a wide variety of business intelligence efforts across Undertone while working in a highly collaborative manner within multiple large, cloud-based data sources to identify insights and spearhead our next generation product offerings. Most importantly, you should ""love"" the data, working with data, finding the nuance that leads to key differentiation for the business and our customers. This is a high visibility analytics and consulting position requiring daily interaction with business users, data scientists, engineers and key stakeholders.

Job Responsibilities:

  • Work with business teams to understand their analytical needs, including identifying critical metrics and KPIs
  • Use analytical and problem-solving skills to deliver actionable insights to relevant decision makers
  • Develop rich interactive visualizations integrating various reporting components from multiple data sources
  • Use SQL, Tableau and other technologies to pull data from different backend systems and product meaningful information and visualizations
  • Take complicated problems and build simple frameworks
  • Work directly with users and management to gather requirements, provide status updates, and build good relationships and rapport

Profile and Experience:

  • A minimum of 4 year of a full-time data analytics experience, ideally in an Ad-tech company
  • A minimum of a Bachelor's degree in Engineering, Mathematics, Business, or related field
  • Expert SQL coding skills against large data sets
  • Strong analytical skills, including the ability to mine data in order to draw meaningful conclusions
  • Strong oral and written communications skills
  • Knowledge of Business Intelligence tools such as Tableau
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3986487164,https://ca.linkedin.com/jobs/view/business-data-analyst-reporting-audit-at-partnerre-3986487164?position=48&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=8iU4XfC8Wz6nzTcBI4ATPw%3D%3D&trk=public_jobs_jserp-result_search-card,"Business Data Analyst, Reporting & Audit",PartnerRe,"Toronto, Ontario, Canada","PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world. + +Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care. + +Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to: + +Shape your own career + +Grow in a supportive environment + +Connect with a community of experts + +Make an impact + +View Home - PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe. + +We are always looking for bright, proactive individuals to join our team! + +Please follow our Careers page for all updates on new positions. We look forward to receiving your application. + +PartnerRe is an equal opportunities employer. + +Please join our company LinkedIn Page for all updates on new positions that are coming live. + + + +Job Description + + + +About this job: + +The Business Data Analyst will be responsible for the analysis and validation of data files for processing in PartnerRe systems. Data may come in various file formats but usually includes transaction, in force, valuation and underwriting files, which have process streams that vary by function. + +Participate in client visits or client audits (desk or on-site). +Provide support during internal/external audits. +Ensure monthly data loads continue to meet stated metrics. Responsibilities include data/plan mapping (including entry and verification of manual data loads) for all clients, investigation and resolution of client issues, and accounting loads/verification. +Develop a robust understanding of reinsurance concepts, principles and treaty language. +Respond to ad-hoc reporting requests from internal stakeholders. +Identify opportunities for process improvement, initiate internal reports and create efficiencies to improve data quality. +Assist other teams within North American Life Operations and Administration when necessary. +Assist internal stakeholders with requests for data, data inquiries, analyze any data discrepancies with supporting documentation. +Analyze and design management reporting as defined by management. +Write VBA code, macros, and SQL queries to extract, manipulate, and distribute data. +Communicate with clients to facilitate transmission of monthly data files and address any questions/clarifications regarding data issues with clients. +Verify that premiums, allowances and taxes for client policies being assumed are being calculated and billed correctly. +Update accounting system with monthly client cashflow accounts vs accounts receivable. Find and correct any discrepancies. +Adhere to all IT controls and security established by IT management. +Adhere to all SOX controls as defined by Internal Control Framework +Create and maintain a rigorous and effective control environment. This includes complying with all existing controls and identifying and remediating gaps in our current controls. +Follow IT change management process by thoroughly testing all ETL scripts and CRM applications prior to changes to be implemented. +Liaise with Underwriting for data checking, management reporting, and discussion on results from Audits and for Retro business (including facultative applications). +Assist with Enhancement Projects including creation of project, testing and preparation for deployment. Defect/bug discovery and acceptance testing for the administration system. Document testing and outcomes and liaise with other departments to ensure tasks and bugs are completed to specifications. + + +Qualifications + + + +About you: + +The successful candidate should be a conscientious individual with exceptional problem-solving skills and a high degree of professional ethics and intellectual curiosity. In addition, the candidate should be a well-rounded individual who possesses the right combination of communication skills, an inquiring mind and creative mindset. + +Qualifications and Experience + +1-4 years of experience in a financial institution with some data management expertise +Knowledge of insurance industry is a plus +Undergraduate or Graduate degree in business or STEM disciplines +Basic knowledge of audit & quality assurance principles +Interpersonal skills and relationship management +Proficient in SQL, MS Office, Alteryx, and Power BI +Some experience with VBA +Basic French language skills is a plus + + +Additional Information + + + +PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe. + +Thank you, + +PartnerRe Hiring Team + +Show more ","
+ + + + + +
+
+

PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world.

Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care.

Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to:

Shape your own career

Grow in a supportive environment

Connect with a community of experts

Make an impact

View Home - PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe.

We are always looking for bright, proactive individuals to join our team!

Please follow our Careers page for all updates on new positions. We look forward to receiving your application.

PartnerRe is an equal opportunities employer.

Please join our company LinkedIn Page for all updates on new positions that are coming live.

Job Description

About this job:

The Business Data Analyst will be responsible for the analysis and validation of data files for processing in PartnerRe systems. Data may come in various file formats but usually includes transaction, in force, valuation and underwriting files, which have process streams that vary by function.

  • Participate in client visits or client audits (desk or on-site).
  • Provide support during internal/external audits.
  • Ensure monthly data loads continue to meet stated metrics. Responsibilities include data/plan mapping (including entry and verification of manual data loads) for all clients, investigation and resolution of client issues, and accounting loads/verification.
  • Develop a robust understanding of reinsurance concepts, principles and treaty language.
  • Respond to ad-hoc reporting requests from internal stakeholders.
  • Identify opportunities for process improvement, initiate internal reports and create efficiencies to improve data quality.
  • Assist other teams within North American Life Operations and Administration when necessary.
  • Assist internal stakeholders with requests for data, data inquiries, analyze any data discrepancies with supporting documentation.
  • Analyze and design management reporting as defined by management.
  • Write VBA code, macros, and SQL queries to extract, manipulate, and distribute data.
  • Communicate with clients to facilitate transmission of monthly data files and address any questions/clarifications regarding data issues with clients.
  • Verify that premiums, allowances and taxes for client policies being assumed are being calculated and billed correctly.
  • Update accounting system with monthly client cashflow accounts vs accounts receivable. Find and correct any discrepancies.
  • Adhere to all IT controls and security established by IT management.
  • Adhere to all SOX controls as defined by Internal Control Framework
  • Create and maintain a rigorous and effective control environment. This includes complying with all existing controls and identifying and remediating gaps in our current controls.
  • Follow IT change management process by thoroughly testing all ETL scripts and CRM applications prior to changes to be implemented.
  • Liaise with Underwriting for data checking, management reporting, and discussion on results from Audits and for Retro business (including facultative applications).
  • Assist with Enhancement Projects including creation of project, testing and preparation for deployment. Defect/bug discovery and acceptance testing for the administration system. Document testing and outcomes and liaise with other departments to ensure tasks and bugs are completed to specifications.

Qualifications

About you:

The successful candidate should be a conscientious individual with exceptional problem-solving skills and a high degree of professional ethics and intellectual curiosity. In addition, the candidate should be a well-rounded individual who possesses the right combination of communication skills, an inquiring mind and creative mindset.

Qualifications and Experience

  • 1-4 years of experience in a financial institution with some data management expertise
  • Knowledge of insurance industry is a plus
  • Undergraduate or Graduate degree in business or STEM disciplines
  • Basic knowledge of audit & quality assurance principles
  • Interpersonal skills and relationship management
  • Proficient in SQL, MS Office, Alteryx, and Power BI
  • Some experience with VBA
  • Basic French language skills is a plus

Additional Information

PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe.

Thank you,

PartnerRe Hiring Team

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3987073021,https://ca.linkedin.com/jobs/view/senior-game-data-analyst-at-sony-interactive-entertainment-3987073021?position=49&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=txcLCLE4b%2Ff7%2BdH5fuI4aQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Game Data Analyst,Sony Interactive Entertainment,Canada,"Why PlayStation? + +PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. + +PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. + +The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. + +Role can be based anywhere in Canada + +Department overview: + +In Game Analytics, we work with some of the best game studios in the world -- responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including Uncharted, The Last of Us, Horizon, God of War, and Gran Turismo. + +We provide end-to-end analytics services for PlayStation Studios and use data to help them make their amazing games even better. We seek dedicated people to join us in pushing the boundaries of game analytics for PlayStation. + +What you will be doing: + +As a Senior Game Data Analyst, you will be working in our cross-disciplinary team to help game studios use data efficiently to improve games. You will work with decision-makers to understand their goals, find opportunities, and guide decisions about features and games across the company. Your responsibilities will include: + + +Analysing data to deliver high quality insights that contribute to game improvements and drive revenue growth. +Collaborating with stakeholders to drive insightful data-informed conversations, spanning from initial business discussions to successful delivery. +Understanding project requirements, defining KPIs and standard metrics, and recommending robust telemetry design. +Overseeing data quality to ensure accuracy and reliability in reporting and analysis. + + +What we are looking for: + + +Advanced SQL knowledge, with a proven track record of applying these skills to analyse complex customer behaviour datasets. +Analytical skills to produce data-backed insights that help improve game design, including experience using statistics, probability, or other quantitative methods. +Experience in driving conversations with a large spectrum of stakeholders, translating sometimes fuzzy business needs into technical requirements, and delivering effective solutions. +In-depth knowledge of the gaming industry, including the realm of live service games. +Experience working with data visualisation tools, such as Looker or Tableau. +Strong presentation skills with the ability to create compelling and engaging presentations. +Experience using and designing game telemetry with AAA or large mobile games. + + +Bonus points if you have: + + +A knack for trying and learning new things. +Experience in Python, Jupyter notebooks, R, or machine learning. + + +“Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights” + +Equal Opportunity Statement: + +Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category. + +We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. + +PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. +Show more ","
+ + + + + +
+
+ Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

Role can be based anywhere in Canada

Department overview:

In Game Analytics, we work with some of the best game studios in the world -- responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including Uncharted, The Last of Us, Horizon, God of War, and Gran Turismo.

We provide end-to-end analytics services for PlayStation Studios and use data to help them make their amazing games even better. We seek dedicated people to join us in pushing the boundaries of game analytics for PlayStation.

What you will be doing:

As a Senior Game Data Analyst, you will be working in our cross-disciplinary team to help game studios use data efficiently to improve games. You will work with decision-makers to understand their goals, find opportunities, and guide decisions about features and games across the company. Your responsibilities will include:

  • Analysing data to deliver high quality insights that contribute to game improvements and drive revenue growth.
  • Collaborating with stakeholders to drive insightful data-informed conversations, spanning from initial business discussions to successful delivery.
  • Understanding project requirements, defining KPIs and standard metrics, and recommending robust telemetry design.
  • Overseeing data quality to ensure accuracy and reliability in reporting and analysis.

What we are looking for:

  • Advanced SQL knowledge, with a proven track record of applying these skills to analyse complex customer behaviour datasets.
  • Analytical skills to produce data-backed insights that help improve game design, including experience using statistics, probability, or other quantitative methods.
  • Experience in driving conversations with a large spectrum of stakeholders, translating sometimes fuzzy business needs into technical requirements, and delivering effective solutions.
  • In-depth knowledge of the gaming industry, including the realm of live service games.
  • Experience working with data visualisation tools, such as Looker or Tableau.
  • Strong presentation skills with the ability to create compelling and engaging presentations.
  • Experience using and designing game telemetry with AAA or large mobile games.

Bonus points if you have:

  • A knack for trying and learning new things.
  • Experience in Python, Jupyter notebooks, R, or machine learning.

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights”

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3989451291,https://ca.linkedin.com/jobs/view/staff-consultant-analysis-insights-at-dentsu-3989451291?position=52&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=3i84zZRSTKQVbXwlJgOFKA%3D%3D&trk=public_jobs_jserp-result_search-card,Staff Consultant Analysis & Insights,dentsu,Canada,"Company Description + +Merkle | Cardinal Path empowers brands to harness their data and activate against it in pursuit of their business goals. Our passionate experts act as an extension of our clients' teams, leveraging their deep knowledge to help brands maximize media and technology on the path toward digital transformation. + +Job Description + +This role is remote-friendly: Toronto or Vancouver preferred + +The Staff Consultant role at Cardinal Path is designed for people who have some exposure to digital analysis or digital business intelligence but really want to grow existing skills and learn new skills. Areas of growth include (but are not limited to) data visualization, data science, customer analysis, and testing strategies. If this is the right role for you, then read on. + +You are a natural problem solver and a quick learner. You enjoy working with data because it's like a mystery to be solved. You do not give up easily and you know how to separate the signal from the noise. You also enjoy working with people because you can both listen and translate data into meaningful business actions. You are not afraid to re-work a hypothesis. You finding those actionable insights that make clients want to keep coming back to you. + +In this role, you will have the opportunity to work with industry thought leaders and world class clients. We will teach you our analytic methodologies which will be executed through both automated reporting and ongoing analysis. + +Duties & Responsibilities + + +You will document and critically assess the client's business and analysis questions; develop complex metric guides to answer these client queries +You will grow positive client relationships and trust through strong work and timely responsivity +Understand the infrastructure whereby data is collected, either on a website or via media tools; use debugging tools regularly +You will lead data pull methodology from various web analytics and media analytics tools +You will develop visuals to explain data trends, either via dashboarding or data visualization tools +You will provide deep analysis of data; extract & communicate a 'data story', inclusive of visuals, to answer the client's business needs +You will develop clear, effective, on-the-fly communications in response to client queries +You will manage multiple tasks across multiple projects in a timely manner + + +This role reports to a Manager. + +Qualifications + + +Bachelor's degree (quantitative field preferred) +2+ years of business analysis focusing on performance optimization +2+ years of continuous work with digital analysis tools, such as Google Analytics or Adobe Analytics +Excellent communication skills including verbal, written and data visualization +Very strong skills in Excel and PowerPoint + + +Additional Information + +The salary range for this position is $60,000-$75,000. Actual salary within the salary range will be based on a variety of factors including relevant experience. A range of medical, dental, RRSP, paid time off, and other benefits also are available to all permanent employees. + +We know through experience that different perspectives and backgrounds foster a stronger and more creative work environment that delivers better results. We aim to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work. + +We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact canada.recruitment@dentsu.com or to begin a conversation about your individual accessibility needs throughout the hiring process. + + +Show more ","
+ + + + + +
+
+ Company Description

Merkle | Cardinal Path empowers brands to harness their data and activate against it in pursuit of their business goals. Our passionate experts act as an extension of our clients' teams, leveraging their deep knowledge to help brands maximize media and technology on the path toward digital transformation.

Job Description

This role is remote-friendly: Toronto or Vancouver preferred

The Staff Consultant role at Cardinal Path is designed for people who have some exposure to digital analysis or digital business intelligence but really want to grow existing skills and learn new skills. Areas of growth include (but are not limited to) data visualization, data science, customer analysis, and testing strategies. If this is the right role for you, then read on.

You are a natural problem solver and a quick learner. You enjoy working with data because it's like a mystery to be solved. You do not give up easily and you know how to separate the signal from the noise. You also enjoy working with people because you can both listen and translate data into meaningful business actions. You are not afraid to re-work a hypothesis. You finding those actionable insights that make clients want to keep coming back to you.

In this role, you will have the opportunity to work with industry thought leaders and world class clients. We will teach you our analytic methodologies which will be executed through both automated reporting and ongoing analysis.

Duties & Responsibilities

  • You will document and critically assess the client's business and analysis questions; develop complex metric guides to answer these client queries
  • You will grow positive client relationships and trust through strong work and timely responsivity
  • Understand the infrastructure whereby data is collected, either on a website or via media tools; use debugging tools regularly
  • You will lead data pull methodology from various web analytics and media analytics tools
  • You will develop visuals to explain data trends, either via dashboarding or data visualization tools
  • You will provide deep analysis of data; extract & communicate a 'data story', inclusive of visuals, to answer the client's business needs
  • You will develop clear, effective, on-the-fly communications in response to client queries
  • You will manage multiple tasks across multiple projects in a timely manner

This role reports to a Manager.

Qualifications

  • Bachelor's degree (quantitative field preferred)
  • 2+ years of business analysis focusing on performance optimization
  • 2+ years of continuous work with digital analysis tools, such as Google Analytics or Adobe Analytics
  • Excellent communication skills including verbal, written and data visualization
  • Very strong skills in Excel and PowerPoint

Additional Information

The salary range for this position is $60,000-$75,000. Actual salary within the salary range will be based on a variety of factors including relevant experience. A range of medical, dental, RRSP, paid time off, and other benefits also are available to all permanent employees.

We know through experience that different perspectives and backgrounds foster a stronger and more creative work environment that delivers better results. We aim to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work.

We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact canada.recruitment@dentsu.com or to begin a conversation about your individual accessibility needs throughout the hiring process.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3991905426,https://ca.linkedin.com/jobs/view/data-insights-analyst-at-cineplex-3991905426?position=53&pageNum=0&refId=RtXyzsyVsgMG8RkL8Q59EA%3D%3D&trackingId=Rx5B4zrBwS7JHP39Am975Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Insights Analyst,Cineplex,"Toronto, Ontario, Canada","Work location: + +Home Office 1303 Yonge St + +City: + +Toronto + +What you will do: + +Data Insights Analyst + +Hybrid position working from the Cineplex corporate office at 1303 Yonge Street, Toronto (Yonge, south of St. Clair) 3 days per week. + +The Data Insights Analyst will join the Data Science & Insights team that empowers the Cineplex organization to optimize and delight the customer experience with data-informed insights and capabilities. + +The successful candidate will play a pivotal role in evolving Cineplex’s ability to extract and present actionable data insights to key stakeholders in order to better understand and improve the end-to-end customer experience across Cineplex’s digital and offline channels. The Analyst is responsible for collaborating with product and design teams to support their KPIs and dashboard requirements, and communicating actionable insights to key stakeholders in order to improve the customer experience. + +Key Responsibilities: + +Technical & Business Expertise + + +Provide analytical expertise of the customer and digital data ecosystem with a strong command of data analysis techniques and data collection processes +Develop and maintain user-friendly dashboards, scorecards, and presentations that clearly highlight the actionable insights and opportunities +Understand the “big picture” and how customer and market insights tie back to business priorities + + +Inspiring & Influencing + + +Be the subject matter expert to represent the customer data and digital analytics function on cross-functional product teams +Influence and use data insights to tell stories through distilling complex concepts into simple themes that are relevant to key stakeholders, teams, and executives + + +Teamwork & Collaboration + + +Collaborate closely with a variety of product development teams to define their business and data requirements to better understand the performance and effectiveness of various strategic priorities +Gather and prioritize net new data requests from key stakeholders to the data engineering and data science teams based on business value + + +Education and Certification: + + +Bachelor’s or equivalent degrees in economics, computer science, engineering, or similar fields with a quantitative focus + + +Experience Needed: + + +3-5 years’ experience with building data models, querying/organizing large datasets, and visualizing data into dashboards (i.e. SQL/databases, Power BI, Tableau, Excel, etc.) is required. +3-5 years’ experience working with Adobe Analytics and/or Google Analytics is required. +3-5 years’ experience with interpreting and presenting insights to a variety of stakeholders with varying data competencies, including executives +Experience with other Adobe products is considered an asset (i.e. Target, Launch, Experience Platform) + + +Knowledge, Skills and Abilities: + + +High proficiency in data storytelling and presentation, written, and verbal communication skills to executives and multiple stakeholder teams +Strong planning and organizational skills with the ability to perform effectively in an environment with many competing demands +Deep understanding of market research and analytics to ensure our analytics and insights practice is the gold standard in the industry +Familiar with agile methodology and practices +Proven ability to work creatively and analytically in a problem-solving environment +Comfortable to challenge the status quo enabling effective decision making + + +Inclusion & Diversity + +Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable. + +Accessibility + +We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com. + +While we appreciate all interest, only those candidates selected for an interview will be contacted. +Show more ","
+ + + + + +
+
+ Work location:

Home Office 1303 Yonge St

City:

Toronto

What you will do:

Data Insights Analyst

Hybrid position working from the Cineplex corporate office at 1303 Yonge Street, Toronto (Yonge, south of St. Clair) 3 days per week.

The Data Insights Analyst will join the Data Science & Insights team that empowers the Cineplex organization to optimize and delight the customer experience with data-informed insights and capabilities.

The successful candidate will play a pivotal role in evolving Cineplex’s ability to extract and present actionable data insights to key stakeholders in order to better understand and improve the end-to-end customer experience across Cineplex’s digital and offline channels. The Analyst is responsible for collaborating with product and design teams to support their KPIs and dashboard requirements, and communicating actionable insights to key stakeholders in order to improve the customer experience.

Key Responsibilities:

Technical & Business Expertise

  • Provide analytical expertise of the customer and digital data ecosystem with a strong command of data analysis techniques and data collection processes
  • Develop and maintain user-friendly dashboards, scorecards, and presentations that clearly highlight the actionable insights and opportunities
  • Understand the “big picture” and how customer and market insights tie back to business priorities

Inspiring & Influencing

  • Be the subject matter expert to represent the customer data and digital analytics function on cross-functional product teams
  • Influence and use data insights to tell stories through distilling complex concepts into simple themes that are relevant to key stakeholders, teams, and executives

Teamwork & Collaboration

  • Collaborate closely with a variety of product development teams to define their business and data requirements to better understand the performance and effectiveness of various strategic priorities
  • Gather and prioritize net new data requests from key stakeholders to the data engineering and data science teams based on business value

Education and Certification:

  • Bachelor’s or equivalent degrees in economics, computer science, engineering, or similar fields with a quantitative focus

Experience Needed:

  • 3-5 years’ experience with building data models, querying/organizing large datasets, and visualizing data into dashboards (i.e. SQL/databases, Power BI, Tableau, Excel, etc.) is required.
  • 3-5 years’ experience working with Adobe Analytics and/or Google Analytics is required.
  • 3-5 years’ experience with interpreting and presenting insights to a variety of stakeholders with varying data competencies, including executives
  • Experience with other Adobe products is considered an asset (i.e. Target, Launch, Experience Platform)

Knowledge, Skills and Abilities:

  • High proficiency in data storytelling and presentation, written, and verbal communication skills to executives and multiple stakeholder teams
  • Strong planning and organizational skills with the ability to perform effectively in an environment with many competing demands
  • Deep understanding of market research and analytics to ensure our analytics and insights practice is the gold standard in the industry
  • Familiar with agile methodology and practices
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Comfortable to challenge the status quo enabling effective decision making

Inclusion & Diversity

Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable.

Accessibility

We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com.

While we appreciate all interest, only those candidates selected for an interview will be contacted. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3980471074,https://ca.linkedin.com/jobs/view/business-intelligence-analyst-at-pointsbet-3980471074?position=3&pageNum=2&refId=bPVCKJpNbm7YlKv8jRNnxg%3D%3D&trackingId=sbGQJtPUpovXP8QgDezL5g%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,PointsBet,"Toronto, Ontario, Canada","Business Intelligence Analyst + + + + +About PointsBet + + + + +Originally founded in the mature sports wagering market of Australia, PointsBet is one of the fastest growing operators in the industry. Our growth is driven by our continued investment in our proprietary gaming platform. Our in-house approach to technology powers innovative and personalized customer experiences that has driven our success. In addition to our leading sports platform, we have a growing competitive digital casino business that allows PointsBet Canada to serve customers with a full suite of gaming experiences. + + + + +We believe in the power of fandom and have partnered with leading sports organizations to provide both our customers and team members access to truly unique sporting experiences. In Canada we are the official partner of the Toronto Maple Leafs, the Toronto Raptors, the Toronto FC, the Toronto Argonauts and the Ottawa Red Blacks, Curling Canada, and Clublink Canada. + + + + +PointsBet Canada is a fast paced, dynamic and rapidly growing business. We have built a culture of high performance by ensuring our employees are able to contribute fully, are well supported, and encouraged to be their authentic selves. If you are in search of a new opportunity that values people, creativity, opportunity, results, and a commitment to excellence, then PointsBet is where you want to be! + + + + +About this Opportunity + +Reporting to the Business Intelligence Manager, the Business Intelligence Analyst delivers reporting solutions to different business stakeholders to help them with their processes. Alongside with the rest of the Business Intelligence team, you will bridge the gap between the technical environment of different data sources and the set of requirements the business needs through impactful and easy to understand reports. + + + + +Responsibilities: + +Develop operational and analytical reports, dashboards, datasets, and another reporting tools for various departments. +Extract, interpret, and present data to build business insights using SQL and Power BI +Communicate insights to business stakeholders in a manner that aids and informs their decision making. +Become an expert in the data and information of digital wagering. +Assist users to define, clarify, and document reporting and analytical requirements. +Build and maintain a strong documentation repository for all BI related works. +Perform data mining and/or scraping as the business need requires. + + + + +Requirements: + +Organized approach to documentation. Should be able to effectively translate specific events or actions taken into a well-organized, easy to understand document. +Good experience in multitasking and adapting inside a dynamic business environment. +Intermediate to expert level in MS Excel +Experience in querying data using T-SQL and developing Power BI reports is a plus. +Post secondary education is required. + + + + +Perks and Benefits + +Competitive Benefits Package +Paid Volunteer Days +EAP Program Access +Social Events (sporting events, concerts, happy hours, holiday parties, team outings) +RRSP Matching Program +A welcoming environment filled with opportunity and positive energy + + + + +Important Information + + + + +PointsBet Canada views responsible gambling not only as an ethical responsibility but as an important part of a sustainable business model. We’re proud to be recognized as a socially responsible operator committed to integrating responsible gambling resources and tools throughout the entire player journey. + + + + +PointsBet Canada is an equal opportunity employer, committed to inclusion and diversity. PointsBet Canada does not discriminate based on race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, genetic characteristics, disability or any other basis forbidden under federal, provincial, or local law. + + + + +Accommodations are available on request for candidates taking part in all aspects of the recruitment process. If you require accommodation, or require recruitment documents in an alternative format, please contact us at can-hr@pointsbet.com. + +Show more ","
+ + + + + +
+
+

Business Intelligence Analyst


About PointsBet


Originally founded in the mature sports wagering market of Australia, PointsBet is one of the fastest growing operators in the industry. Our growth is driven by our continued investment in our proprietary gaming platform. Our in-house approach to technology powers innovative and personalized customer experiences that has driven our success. In addition to our leading sports platform, we have a growing competitive digital casino business that allows PointsBet Canada to serve customers with a full suite of gaming experiences.


We believe in the power of fandom and have partnered with leading sports organizations to provide both our customers and team members access to truly unique sporting experiences. In Canada we are the official partner of the Toronto Maple Leafs, the Toronto Raptors, the Toronto FC, the Toronto Argonauts and the Ottawa Red Blacks, Curling Canada, and Clublink Canada.


PointsBet Canada is a fast paced, dynamic and rapidly growing business. We have built a culture of high performance by ensuring our employees are able to contribute fully, are well supported, and encouraged to be their authentic selves. If you are in search of a new opportunity that values people, creativity, opportunity, results, and a commitment to excellence, then PointsBet is where you want to be!


About this Opportunity

Reporting to the Business Intelligence Manager, the Business Intelligence Analyst delivers reporting solutions to different business stakeholders to help them with their processes. Alongside with the rest of the Business Intelligence team, you will bridge the gap between the technical environment of different data sources and the set of requirements the business needs through impactful and easy to understand reports.


Responsibilities:

  • Develop operational and analytical reports, dashboards, datasets, and another reporting tools for various departments.
  • Extract, interpret, and present data to build business insights using SQL and Power BI
  • Communicate insights to business stakeholders in a manner that aids and informs their decision making.
  • Become an expert in the data and information of digital wagering.
  • Assist users to define, clarify, and document reporting and analytical requirements.
  • Build and maintain a strong documentation repository for all BI related works.
  • Perform data mining and/or scraping as the business need requires.


Requirements:

  • Organized approach to documentation. Should be able to effectively translate specific events or actions taken into a well-organized, easy to understand document.
  • Good experience in multitasking and adapting inside a dynamic business environment.
  • Intermediate to expert level in MS Excel
  • Experience in querying data using T-SQL and developing Power BI reports is a plus.
  • Post secondary education is required.


Perks and Benefits

  • Competitive Benefits Package
  • Paid Volunteer Days
  • EAP Program Access
  • Social Events (sporting events, concerts, happy hours, holiday parties, team outings)
  • RRSP Matching Program
  • A welcoming environment filled with opportunity and positive energy


Important Information


PointsBet Canada views responsible gambling not only as an ethical responsibility but as an important part of a sustainable business model. We’re proud to be recognized as a socially responsible operator committed to integrating responsible gambling resources and tools throughout the entire player journey.


PointsBet Canada is an equal opportunity employer, committed to inclusion and diversity. PointsBet Canada does not discriminate based on race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, genetic characteristics, disability or any other basis forbidden under federal, provincial, or local law.


Accommodations are available on request for candidates taking part in all aspects of the recruitment process. If you require accommodation, or require recruitment documents in an alternative format, please contact us at can-hr@pointsbet.com.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3994514308,https://ca.linkedin.com/jobs/view/data-analyst-at-j-m-group-3994514308?position=4&pageNum=2&refId=bPVCKJpNbm7YlKv8jRNnxg%3D%3D&trackingId=6t7YpRpzlmWnx5hsdRuUXA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,J&M Group,"Toronto, Ontario, Canada","3-5 Years of Experience as Data Analyst with skills of Data analysis, SQL, Azure Big data +Technical experience in data management methodologies and data systems. +Skill in using software applications including MS Office Skill in using advanced analytical software tools, data analysis methods and specialized reporting techniques Basis database, etl and reporting understanding, which includes SQL skills using SQL tools such SQL Developer or TOAD to query data from data warehouses. +Skill in agile methodologies and tools including Jira/Confluence. +Ability to understand Architecture and Network documents Ability to work on infrastructure projects: Data encryption, Logging/Monitoring, Various Security Tools etc. +Ability to independently identify, assess, and escalate issues requiring senior management attention +Ability to communicate effectively in both oral and written form +Ability to work collaboratively and build relationships +Ability to work independently and successfully as a member of a team Ability to exercise sound judgement in making decisions +Show more ","
+ + + + + +
+
+
  • 3-5 Years of Experience as Data Analyst with skills of Data analysis, SQL, Azure Big data
  • Technical experience in data management methodologies and data systems.
  • Skill in using software applications including MS Office Skill in using advanced analytical software tools, data analysis methods and specialized reporting techniques Basis database, etl and reporting understanding, which includes SQL skills using SQL tools such SQL Developer or TOAD to query data from data warehouses.
  • Skill in agile methodologies and tools including Jira/Confluence.
  • Ability to understand Architecture and Network documents Ability to work on infrastructure projects: Data encryption, Logging/Monitoring, Various Security Tools etc.
  • Ability to independently identify, assess, and escalate issues requiring senior management attention
  • Ability to communicate effectively in both oral and written form
  • Ability to work collaboratively and build relationships
  • Ability to work independently and successfully as a member of a team Ability to exercise sound judgement in making decisions
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3971682723,https://ca.linkedin.com/jobs/view/powerbi-consultant-at-global-technical-talent-an-inc-5000-company-3971682723?position=5&pageNum=2&refId=bPVCKJpNbm7YlKv8jRNnxg%3D%3D&trackingId=k6dgCSl1hBoBgfcAcSlX7g%3D%3D&trk=public_jobs_jserp-result_search-card,PowerBI Consultant,"Global Technical Talent, an Inc. 5000 Company","Toronto, Ontario, Canada","Contract Duration 3+ Months +Pay range C$70 - 100/Hour + + +Job Description: + + +The Microsoft Power BI Consultant will lead the launch of a new instance of Microsoft Power BI. +The PowerBI Consultant will collaborate with business unit leaders to understand their needs and requirements for interactive data visualization. +This techno-functional role will also involve data mapping requirements from multiple independent systems. + + +Top 3 Skills: + + +Proven experience in implementing Microsoft Power BI solutions +Strong understanding of data visualization and business intelligence +Experience with the design, development, and deployment of interactive dashboards and reports +Proficiency in data mapping and integration from multiple systems + + +#gttca + +24-08632 + + +Show more ","
+ + + + + +
+
+
  • Contract Duration 3+ Months
  • Pay range C$70 - 100/Hour

Job Description:

  • The Microsoft Power BI Consultant will lead the launch of a new instance of Microsoft Power BI.
  • The PowerBI Consultant will collaborate with business unit leaders to understand their needs and requirements for interactive data visualization.
  • This techno-functional role will also involve data mapping requirements from multiple independent systems.

Top 3 Skills:

  • Proven experience in implementing Microsoft Power BI solutions
  • Strong understanding of data visualization and business intelligence
  • Experience with the design, development, and deployment of interactive dashboards and reports
  • Proficiency in data mapping and integration from multiple systems

#gttca

24-08632

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3962893888,https://ca.linkedin.com/jobs/view/business-analyst-data-analyst-at-swiss-re-3962893888?position=7&pageNum=2&refId=bPVCKJpNbm7YlKv8jRNnxg%3D%3D&trackingId=N5EDfly4Ra5J%2F0dmT12rCw%3D%3D&trk=public_jobs_jserp-result_search-card,Business Analyst/Data Analyst,Swiss Re,"Toronto, Ontario, Canada","In this dynamic role, you will be responsible for client data ingestion, ensuring seamless integration of external client data to enhance our analytics capabilities and provide valuable insights to our stakeholders. Join us in our data-driven journey. + +About The Role + +As a Business Analyst, you'll be at the forefront of transforming raw data into actionable insights and innovative products. With a keen eye for detail and passion for problem solving, you'll play a pivotal role in shaping the company's data strategy and driving business success + +In This Role, Your Key Business Responsibilities Will Include + + +Identify data product opportunities, including new products and product enhancements, through design thinking sessions and stakeholder engagement +Collaborate with cross-functional stakeholders, such as Technical Accounting, Experience Studies, Valuation, and Inforce Optimization, to gather and document product requirements +Translate product requirements into clear and actionable user stories or product specifications +Develop and implement tactical data products using available tools and support user onboarding +Develop and maintain key metrics to measure product success +Understand L&H Re systems and processes to advise and assist IT in system enhancements and migrating tactical products into strategic ones +Design, map, and code complex and unique client data setups + + +About The Team + +The Data Management & Insights [DMI] team is part of Business Excellence delivering on the promise of a stable end-to-end operating platform for Life & Health Reinsurance [L&H Re]. Their mission is to make client data accessible to stakeholders by systematically acquiring and ingesting it. The team utilizes advanced analytics techniques to generate valuable insights for L&H Re. With a continuous improvement mindset, they strive to enhance data, systems, and processes for both their own use and their stakeholders. + +About You + +You have proven strategic, analytical, and conceptual thinking abilities. You have effective communication skills, with the ability to present complex data and insights to stakeholders clearly and concisely. + +Essential Skills + + +Bachelor of Science degree with 5+ years of relevant experience +Proficient in data mapping, ETL processing, and data integration +Strong understanding of data structures and testing methodologies for onboarding large and complex client datasets +Proficient in SQL, Python/R coding + + +Nice To Have + + +Good understanding of relational databases, such as Oracle and SQL Server +Experience in handling large volumes of structured and unstructured data +Familiarity with best practices of data management and governance +Experience working in Waterfall and Agile projects, while leading projects being a plus +Hands-on experience with Data Integration tools (e.g. Palantir) and techniques (e.g. EDA, predictive & prescriptive analysis), and visualization software such as Power BI + + +Our company has a hybrid work model where the expectation is that you will be in the office two to three days per week on average. + +This role will be unable to offer any assistance with relocation or visa sponsorship. + +About Swiss Re + +Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. + +Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. + +Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled. + +During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed. + +Keywords + +Reference Code: 130238 +Show more ","
+ + + + + +
+
+ In this dynamic role, you will be responsible for client data ingestion, ensuring seamless integration of external client data to enhance our analytics capabilities and provide valuable insights to our stakeholders. Join us in our data-driven journey.

About The Role

As a Business Analyst, you'll be at the forefront of transforming raw data into actionable insights and innovative products. With a keen eye for detail and passion for problem solving, you'll play a pivotal role in shaping the company's data strategy and driving business success

In This Role, Your Key Business Responsibilities Will Include

  • Identify data product opportunities, including new products and product enhancements, through design thinking sessions and stakeholder engagement
  • Collaborate with cross-functional stakeholders, such as Technical Accounting, Experience Studies, Valuation, and Inforce Optimization, to gather and document product requirements
  • Translate product requirements into clear and actionable user stories or product specifications
  • Develop and implement tactical data products using available tools and support user onboarding
  • Develop and maintain key metrics to measure product success
  • Understand L&H Re systems and processes to advise and assist IT in system enhancements and migrating tactical products into strategic ones
  • Design, map, and code complex and unique client data setups

About The Team

The Data Management & Insights [DMI] team is part of Business Excellence delivering on the promise of a stable end-to-end operating platform for Life & Health Reinsurance [L&H Re]. Their mission is to make client data accessible to stakeholders by systematically acquiring and ingesting it. The team utilizes advanced analytics techniques to generate valuable insights for L&H Re. With a continuous improvement mindset, they strive to enhance data, systems, and processes for both their own use and their stakeholders.

About You

You have proven strategic, analytical, and conceptual thinking abilities. You have effective communication skills, with the ability to present complex data and insights to stakeholders clearly and concisely.

Essential Skills

  • Bachelor of Science degree with 5+ years of relevant experience
  • Proficient in data mapping, ETL processing, and data integration
  • Strong understanding of data structures and testing methodologies for onboarding large and complex client datasets
  • Proficient in SQL, Python/R coding

Nice To Have

  • Good understanding of relational databases, such as Oracle and SQL Server
  • Experience in handling large volumes of structured and unstructured data
  • Familiarity with best practices of data management and governance
  • Experience working in Waterfall and Agile projects, while leading projects being a plus
  • Hands-on experience with Data Integration tools (e.g. Palantir) and techniques (e.g. EDA, predictive & prescriptive analysis), and visualization software such as Power BI

Our company has a hybrid work model where the expectation is that you will be in the office two to three days per week on average.

This role will be unable to offer any assistance with relocation or visa sponsorship.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

Keywords

Reference Code: 130238 +
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",2024-07-20,[] +3967967037,https://ca.linkedin.com/jobs/view/icqa-data-analyst-at-amazon-3967967037?position=8&pageNum=2&refId=bPVCKJpNbm7YlKv8jRNnxg%3D%3D&trackingId=EZsAzzYVKyMqeJNRnsOO%2BA%3D%3D&trk=public_jobs_jserp-result_search-card,ICQA Data Analyst,Amazon,"Cambridge, Ontario, Canada","Description + +At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate. + +Key job responsibilities + + +Development of data collection processes and data management systems +Maintenance of data integrity (0% error rate) +Designing of queries, compiling of data, and generation of reports in MS Excel +Charting and graphing of data for reporting purposes +In depth research of defect trends +Data collection and entry as needed +Data mining and problem solving +Back up for Process Assistant duties + + +Basic Qualifications + + +2+ years of professional or military experience +Experience with Microsoft Office products and applications + + +Preferred Qualifications + + +Experience with end-to-end project management + + +Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter. + + +Company - Amazon Canada Fulfillment Services, ULC. + +Job ID: A2691610 +Show more ","
+ + + + + +
+
+ Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. Amazon Canada Fulfillment Services is hiring a Data Analyst to support the Inventory Control / Quality Assurance (ICQA) team. The Data Analyst assigned to ICQA will work closely with the ICQA and operations teams in Inbound and Outbound to provide data and analytical support for ACES initiatives, root cause investigation of defects, and will provide support to ensure compliance to ICQA-related SoX requirements. The Data Analyst will own the insights, set up analysis, and create automated dashboards and reporting. They will be responsible for identifying data sources (internal / external) to invent and simplify mechanisms and create custom reporting and analytics automation tools. Operating in a fast-moving and sometimes ambiguous environment, you will be required to work autonomously, taking full control and responsibility for achieving business objectives. This role provides real opportunity to develop original ideas, approaches and solutions in an ever-changing and competitive business climate.

Key job responsibilities

  • Development of data collection processes and data management systems
  • Maintenance of data integrity (0% error rate)
  • Designing of queries, compiling of data, and generation of reports in MS Excel
  • Charting and graphing of data for reporting purposes
  • In depth research of defect trends
  • Data collection and entry as needed
  • Data mining and problem solving
  • Back up for Process Assistant duties

Basic Qualifications

  • 2+ years of professional or military experience
  • Experience with Microsoft Office products and applications

Preferred Qualifications

  • Experience with end-to-end project management

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.


Company - Amazon Canada Fulfillment Services, ULC.

Job ID: A2691610 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-27,[] +3982235661,https://ca.linkedin.com/jobs/view/analyst-flight-data-at-air-transat-3982235661?position=1&pageNum=5&refId=OlwR8rC0PwEQt0bm0kVFOA%3D%3D&trackingId=4rXtTdIIU9FE8O%2BTw%2FJCbg%3D%3D&trk=public_jobs_jserp-result_search-card,"Analyst, Flight Data",Air Transat,"Dorval, Quebec, Canada","Be part of the journey! + +Our mission is to be the preferred airline of our customers and our team. + +Open-mindedness, concern for others, intelligence at work and, above all, a healthy dose of fun enable us to achieve great things every day, such as becoming the first international tour operator to obtain Travelife certification for our commitment to sustainable tourism. We have also won the title of world's best leisure airline several times over. And this is just the beginning. + +Want to join us? As soon as you're hired, you'll enjoy travel privileges to discover the world. You'll also have the opportunity to work in a modern, inspiring environment. + + + +Job Description + + + +As the Analyst, Flight Data, you will contribute to the improvement of the flight safety. You will be part of the Flight Safety Team. You will collaborate with the Flight Operations and Technical Teams, as well as with the pilot representatives. + +Are you passionate about aviation safety and want to work in a dynamic team? Is your style collaborating you have good analytical skills? This challenge is for you! + +Main responsibilities + +Ensures that the Flight Data Monitoring Program actively contributes to the improvement of the flight safety, based on the industry best practices and in compliance with the confidentiality criteria and IOSA requirements; +Organizes the monthly Flight Data Monitoring Program meetings and follows up on the required actions; +Collaborates on a regular basis with the Gatekeepers. +Actively participates in C-CAST (Canadian Commercial Aviation Safety Team) meetings and activities. +Collaborates with various external entities, such as the flight data analysis provider, IATA, Airbus and NACC. +Analyzes exceedances, establishes risk levels and coordinates actions with the gatekeepers. +Carries out statistical analysis of flight data, identifies trends, make recommendations and prepares required reports; +Participates in investigations requiring flight data analysis; +Selon les besoins, supporter les officiers de sécurité dans le traitement des rapports de sécurité reliés aux opérations aériennes, incluant l’entrée des informations dans la base de données, la réalisation de l’enquête, l’évaluation du niveau de risque, la détermination des causes racines et le suivi des actions correctives. +When needed, support the Safety Officers in the processing of safety reports, including data entry into the database, incident investigation, risk assessment, root cause determination and appropriate follow-up actions. +Maintains up to date the Flight Data Monitoring Program procedures. +Contributes articles to the Flight Safety Department’s monthly publication; +Supports, as needed, the Director, Flight Safety, by performing other related tasks. + + +Qualifications + + +University Diploma in a related field such as Aviation Engineering; or equivalent experience; +Minimum of five (5) years of experience in aviation, including at least three (3) years in Flight Operations. +A Pilot’s Licence is an asset; +Experience in flight data analysis is an asset; +Strong analytical and statistical abilities; +Oral and written proficiency in both French and EnglishComputer proficiency: MS Excel, Word, PowerPoint, and Outlook; +Strong communication skills; +Ability to work independently. + + +Additional Information + + + +Employment Equity + +At Transat, we foster an environment where inclusiveness, respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women, members of visible minorities, ethnic minorities, aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. If you require an accommodation, please contact us in order to work together in meeting adequately your needs. + +Show more ","
+ + + + + +
+
+

Be part of the journey!

Our mission is to be the preferred airline of our customers and our team.

Open-mindedness, concern for others, intelligence at work and, above all, a healthy dose of fun enable us to achieve great things every day, such as becoming the first international tour operator to obtain Travelife certification for our commitment to sustainable tourism. We have also won the title of world's best leisure airline several times over. And this is just the beginning.

Want to join us? As soon as you're hired, you'll enjoy travel privileges to discover the world. You'll also have the opportunity to work in a modern, inspiring environment.

Job Description

As the Analyst, Flight Data, you will contribute to the improvement of the flight safety. You will be part of the Flight Safety Team. You will collaborate with the Flight Operations and Technical Teams, as well as with the pilot representatives.

Are you passionate about aviation safety and want to work in a dynamic team? Is your style collaborating you have good analytical skills? This challenge is for you!

Main responsibilities

  • Ensures that the Flight Data Monitoring Program actively contributes to the improvement of the flight safety, based on the industry best practices and in compliance with the confidentiality criteria and IOSA requirements;
  • Organizes the monthly Flight Data Monitoring Program meetings and follows up on the required actions;
  • Collaborates on a regular basis with the Gatekeepers.
  • Actively participates in C-CAST (Canadian Commercial Aviation Safety Team) meetings and activities.
  • Collaborates with various external entities, such as the flight data analysis provider, IATA, Airbus and NACC.
  • Analyzes exceedances, establishes risk levels and coordinates actions with the gatekeepers.
  • Carries out statistical analysis of flight data, identifies trends, make recommendations and prepares required reports;
  • Participates in investigations requiring flight data analysis;
  • Selon les besoins, supporter les officiers de sécurité dans le traitement des rapports de sécurité reliés aux opérations aériennes, incluant l’entrée des informations dans la base de données, la réalisation de l’enquête, l’évaluation du niveau de risque, la détermination des causes racines et le suivi des actions correctives.
  • When needed, support the Safety Officers in the processing of safety reports, including data entry into the database, incident investigation, risk assessment, root cause determination and appropriate follow-up actions.
  • Maintains up to date the Flight Data Monitoring Program procedures.
  • Contributes articles to the Flight Safety Department’s monthly publication;
  • Supports, as needed, the Director, Flight Safety, by performing other related tasks.

Qualifications

  • University Diploma in a related field such as Aviation Engineering; or equivalent experience;
  • Minimum of five (5) years of experience in aviation, including at least three (3) years in Flight Operations.
  • A Pilot’s Licence is an asset;
  • Experience in flight data analysis is an asset;
  • Strong analytical and statistical abilities;
  • Oral and written proficiency in both French and EnglishComputer proficiency: MS Excel, Word, PowerPoint, and Outlook;
  • Strong communication skills;
  • Ability to work independently.

Additional Information

Employment Equity

At Transat, we foster an environment where inclusiveness, respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women, members of visible minorities, ethnic minorities, aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. If you require an accommodation, please contact us in order to work together in meeting adequately your needs.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3947184848,https://ca.linkedin.com/jobs/view/data-analyst-ml-datasets-at-telus-international-ai-data-solutions-3947184848?position=2&pageNum=5&refId=OlwR8rC0PwEQt0bm0kVFOA%3D%3D&trackingId=P2tJte5CNlHZTr15bicTkw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst ML Datasets,TELUS International AI Data Solutions,Canada,"About TELUS International + +TELUS International (NYSE: TIXT) focuses on the value of human connection to design, build and deliver high-tech, high-touch customer experiences powered by next-gen digital solutions. With almost 75,000 team members and delivery centers across 30 countries in North and Central America, Europe, Africa and Asia, TELUS International empowers customer experience innovation through digital enablement, spirited teamwork, agile thinking, and a caring culture that puts customers first. The company's solutions cover customer experience, content moderation, digital transformation, IT lifecycle, advisory and digital consulting, risk management, and back-office support. Fueling any stage of company growth, TELUS International partners with some of the world’s most disruptive brands from fast-growing tech, financial services and fintech, games, travel and hospitality, healthcare, and ICT industries. The company serves clients in over 50 languages. Learn more at: telusinternational.com + + + + +Are you an experienced data analyst and looking to put your skills towards shaping the future of the latest AI technologies? Join TELUS International AI Data Solutions and help ensure that our Generative AI training datasets statistically reflect the full distribution of human behavior in multi-modal (writing, speech, images, videos, geo-spatial) contexts. We’re hiring experienced data analysts to help bring AI to the next level of performance and accuracy. + + + + +Job Description + +This is a cross-functional role supporting our pre-sales, operations and product teams with data-driven analyses and insights based on quality and performance data. You’ll craft innovative measurement formulae for GenAI training datasets based on statistical and heuristic data, along multiple dimensions (individual, cohort, task type, language, etc.). You’ll analyze GenAI training dataset metadata to ensure we create GenAI training datasets that optimize diversity, reliability, and relevance. + + + + +Responsibilities + +Analyze AI training datasets to ensure high quality in terms of reliability, statistical significance and agreement metrics +Statistically review AI training datasets to ensure diverse data representation in terms of client specifications and industry standards +Develop data quality instrumentation specs for deployment in dataset workflows, at individual, regional, task type, and language levels +Design metadata taxonomies to support data analyses of production, workforce and quality metrics +Train project managers in GenAI training dataset data analysis best practices +Prepare GenAI training dataset analysis reports with actionable insights +Support continuous process improvement for operations, workforce sourcing and quality control metrics + + + + +Qualifications / Requirements + +BA or BSc in Machine Learning, Data Engineering, Computer Science, Statistics, Mathematics, or related field +3+ years work experience in data analytics, preferably with 1+ years work experience in AI training datasets +Exceptional research and analytical skills +Strong communication skills and reporting skills +Strong organizational skills including prioritizing, time management, and ability to meet tight deadlines + + + + +Location + +Remote - Canada + + + + +TELUS Values: + + + + +TELUS International recognizes and embraces the importance of values in our ever-changing workplace. To be successful, all applicants must demonstrate behaviors that are reflective of our values: + + + + +We passionately put our customers and communities first +We embrace change and innovate courageously +We grow together through spirited teamwork + + + + +At TELUS International, we are committed to diversity and equitable access to employment opportunities based on ability. + + + + +EEO Statement + + + + +At TELUS International, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS International is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent. + + + + +Equal Opportunity Employer + + + + +At TELUS International, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. + +Show more ","
+ + + + + +
+
+

About TELUS International

TELUS International (NYSE: TIXT) focuses on the value of human connection to design, build and deliver high-tech, high-touch customer experiences powered by next-gen digital solutions. With almost 75,000 team members and delivery centers across 30 countries in North and Central America, Europe, Africa and Asia, TELUS International empowers customer experience innovation through digital enablement, spirited teamwork, agile thinking, and a caring culture that puts customers first. The company's solutions cover customer experience, content moderation, digital transformation, IT lifecycle, advisory and digital consulting, risk management, and back-office support. Fueling any stage of company growth, TELUS International partners with some of the world’s most disruptive brands from fast-growing tech, financial services and fintech, games, travel and hospitality, healthcare, and ICT industries. The company serves clients in over 50 languages. Learn more at: telusinternational.com


Are you an experienced data analyst and looking to put your skills towards shaping the future of the latest AI technologies? Join TELUS International AI Data Solutions and help ensure that our Generative AI training datasets statistically reflect the full distribution of human behavior in multi-modal (writing, speech, images, videos, geo-spatial) contexts. We’re hiring experienced data analysts to help bring AI to the next level of performance and accuracy.


Job Description

This is a cross-functional role supporting our pre-sales, operations and product teams with data-driven analyses and insights based on quality and performance data. You’ll craft innovative measurement formulae for GenAI training datasets based on statistical and heuristic data, along multiple dimensions (individual, cohort, task type, language, etc.). You’ll analyze GenAI training dataset metadata to ensure we create GenAI training datasets that optimize diversity, reliability, and relevance.


Responsibilities

  • Analyze AI training datasets to ensure high quality in terms of reliability, statistical significance and agreement metrics
  • Statistically review AI training datasets to ensure diverse data representation in terms of client specifications and industry standards
  • Develop data quality instrumentation specs for deployment in dataset workflows, at individual, regional, task type, and language levels
  • Design metadata taxonomies to support data analyses of production, workforce and quality metrics
  • Train project managers in GenAI training dataset data analysis best practices
  • Prepare GenAI training dataset analysis reports with actionable insights
  • Support continuous process improvement for operations, workforce sourcing and quality control metrics


Qualifications / Requirements

  • BA or BSc in Machine Learning, Data Engineering, Computer Science, Statistics, Mathematics, or related field
  • 3+ years work experience in data analytics, preferably with 1+ years work experience in AI training datasets
  • Exceptional research and analytical skills
  • Strong communication skills and reporting skills
  • Strong organizational skills including prioritizing, time management, and ability to meet tight deadlines


Location

  • Remote - Canada


TELUS Values:


TELUS International recognizes and embraces the importance of values in our ever-changing workplace. To be successful, all applicants must demonstrate behaviors that are reflective of our values:


  • We passionately put our customers and communities first
  • We embrace change and innovate courageously
  • We grow together through spirited teamwork


At TELUS International, we are committed to diversity and equitable access to employment opportunities based on ability.


EEO Statement


At TELUS International, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS International is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.


Equal Opportunity Employer


At TELUS International, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-08,[] +3986487164,https://ca.linkedin.com/jobs/view/business-data-analyst-reporting-audit-at-partnerre-3986487164?position=3&pageNum=5&refId=OlwR8rC0PwEQt0bm0kVFOA%3D%3D&trackingId=wGIipTGEReQi%2B%2FVZ7t5aog%3D%3D&trk=public_jobs_jserp-result_search-card,"Business Data Analyst, Reporting & Audit",PartnerRe,"Toronto, Ontario, Canada","PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world. + +Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care. + +Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to: + +Shape your own career + +Grow in a supportive environment + +Connect with a community of experts + +Make an impact + +View Home - PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe. + +We are always looking for bright, proactive individuals to join our team! + +Please follow our Careers page for all updates on new positions. We look forward to receiving your application. + +PartnerRe is an equal opportunities employer. + +Please join our company LinkedIn Page for all updates on new positions that are coming live. + + + +Job Description + + + +About this job: + +The Business Data Analyst will be responsible for the analysis and validation of data files for processing in PartnerRe systems. Data may come in various file formats but usually includes transaction, in force, valuation and underwriting files, which have process streams that vary by function. + +Participate in client visits or client audits (desk or on-site). +Provide support during internal/external audits. +Ensure monthly data loads continue to meet stated metrics. Responsibilities include data/plan mapping (including entry and verification of manual data loads) for all clients, investigation and resolution of client issues, and accounting loads/verification. +Develop a robust understanding of reinsurance concepts, principles and treaty language. +Respond to ad-hoc reporting requests from internal stakeholders. +Identify opportunities for process improvement, initiate internal reports and create efficiencies to improve data quality. +Assist other teams within North American Life Operations and Administration when necessary. +Assist internal stakeholders with requests for data, data inquiries, analyze any data discrepancies with supporting documentation. +Analyze and design management reporting as defined by management. +Write VBA code, macros, and SQL queries to extract, manipulate, and distribute data. +Communicate with clients to facilitate transmission of monthly data files and address any questions/clarifications regarding data issues with clients. +Verify that premiums, allowances and taxes for client policies being assumed are being calculated and billed correctly. +Update accounting system with monthly client cashflow accounts vs accounts receivable. Find and correct any discrepancies. +Adhere to all IT controls and security established by IT management. +Adhere to all SOX controls as defined by Internal Control Framework +Create and maintain a rigorous and effective control environment. This includes complying with all existing controls and identifying and remediating gaps in our current controls. +Follow IT change management process by thoroughly testing all ETL scripts and CRM applications prior to changes to be implemented. +Liaise with Underwriting for data checking, management reporting, and discussion on results from Audits and for Retro business (including facultative applications). +Assist with Enhancement Projects including creation of project, testing and preparation for deployment. Defect/bug discovery and acceptance testing for the administration system. Document testing and outcomes and liaise with other departments to ensure tasks and bugs are completed to specifications. + + +Qualifications + + + +About you: + +The successful candidate should be a conscientious individual with exceptional problem-solving skills and a high degree of professional ethics and intellectual curiosity. In addition, the candidate should be a well-rounded individual who possesses the right combination of communication skills, an inquiring mind and creative mindset. + +Qualifications and Experience + +1-4 years of experience in a financial institution with some data management expertise +Knowledge of insurance industry is a plus +Undergraduate or Graduate degree in business or STEM disciplines +Basic knowledge of audit & quality assurance principles +Interpersonal skills and relationship management +Proficient in SQL, MS Office, Alteryx, and Power BI +Some experience with VBA +Basic French language skills is a plus + + +Additional Information + + + +PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe. + +Thank you, + +PartnerRe Hiring Team + +Show more ","
+ + + + + +
+
+

PartnerRe is a leading, privately owned, multi-line global reinsurer with a reputation of financial stability and strength, and a commitment to rebuilding businesses and communities after risk events around the world.

Our mission is to continue to be a financially stable and predictable business partner, supporting our clients with solutions tailored to their needs, delivering superior returns to our owner, providing rewarding opportunities for our people and making a positive contribution to society. To achieve this, we live by our values of Integrity, Performance, Collaboration, Straightforward Communication and Respect and Care.

Core to The PartnerRe Experience is our global nature. No matter where you sit in the company, you are part of something bigger. Our teams represent our truly international mindset, forging connections across office locations and all levels of the organization and building a network of mutual success. The result is a day-to-day experience that will allow you to:

Shape your own career

Grow in a supportive environment

Connect with a community of experts

Make an impact

View Home - PartnerRe Experience e-book to find out more about what it’s like to work at PartnerRe.

We are always looking for bright, proactive individuals to join our team!

Please follow our Careers page for all updates on new positions. We look forward to receiving your application.

PartnerRe is an equal opportunities employer.

Please join our company LinkedIn Page for all updates on new positions that are coming live.

Job Description

About this job:

The Business Data Analyst will be responsible for the analysis and validation of data files for processing in PartnerRe systems. Data may come in various file formats but usually includes transaction, in force, valuation and underwriting files, which have process streams that vary by function.

  • Participate in client visits or client audits (desk or on-site).
  • Provide support during internal/external audits.
  • Ensure monthly data loads continue to meet stated metrics. Responsibilities include data/plan mapping (including entry and verification of manual data loads) for all clients, investigation and resolution of client issues, and accounting loads/verification.
  • Develop a robust understanding of reinsurance concepts, principles and treaty language.
  • Respond to ad-hoc reporting requests from internal stakeholders.
  • Identify opportunities for process improvement, initiate internal reports and create efficiencies to improve data quality.
  • Assist other teams within North American Life Operations and Administration when necessary.
  • Assist internal stakeholders with requests for data, data inquiries, analyze any data discrepancies with supporting documentation.
  • Analyze and design management reporting as defined by management.
  • Write VBA code, macros, and SQL queries to extract, manipulate, and distribute data.
  • Communicate with clients to facilitate transmission of monthly data files and address any questions/clarifications regarding data issues with clients.
  • Verify that premiums, allowances and taxes for client policies being assumed are being calculated and billed correctly.
  • Update accounting system with monthly client cashflow accounts vs accounts receivable. Find and correct any discrepancies.
  • Adhere to all IT controls and security established by IT management.
  • Adhere to all SOX controls as defined by Internal Control Framework
  • Create and maintain a rigorous and effective control environment. This includes complying with all existing controls and identifying and remediating gaps in our current controls.
  • Follow IT change management process by thoroughly testing all ETL scripts and CRM applications prior to changes to be implemented.
  • Liaise with Underwriting for data checking, management reporting, and discussion on results from Audits and for Retro business (including facultative applications).
  • Assist with Enhancement Projects including creation of project, testing and preparation for deployment. Defect/bug discovery and acceptance testing for the administration system. Document testing and outcomes and liaise with other departments to ensure tasks and bugs are completed to specifications.

Qualifications

About you:

The successful candidate should be a conscientious individual with exceptional problem-solving skills and a high degree of professional ethics and intellectual curiosity. In addition, the candidate should be a well-rounded individual who possesses the right combination of communication skills, an inquiring mind and creative mindset.

Qualifications and Experience

  • 1-4 years of experience in a financial institution with some data management expertise
  • Knowledge of insurance industry is a plus
  • Undergraduate or Graduate degree in business or STEM disciplines
  • Basic knowledge of audit & quality assurance principles
  • Interpersonal skills and relationship management
  • Proficient in SQL, MS Office, Alteryx, and Power BI
  • Some experience with VBA
  • Basic French language skills is a plus

Additional Information

PartnerRe provides a working environment in which diversity is valued, where all employees feel welcome, respected, and empowered to perform at their best. We invite you to learn more about D&I at PartnerRe.

Thank you,

PartnerRe Hiring Team

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3987073021,https://ca.linkedin.com/jobs/view/senior-game-data-analyst-at-sony-interactive-entertainment-3987073021?position=4&pageNum=5&refId=OlwR8rC0PwEQt0bm0kVFOA%3D%3D&trackingId=LMC69cZULJLSo%2FlX9s1xOw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Game Data Analyst,Sony Interactive Entertainment,Canada,"Why PlayStation? + +PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. + +PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. + +The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. + +Role can be based anywhere in Canada + +Department overview: + +In Game Analytics, we work with some of the best game studios in the world -- responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including Uncharted, The Last of Us, Horizon, God of War, and Gran Turismo. + +We provide end-to-end analytics services for PlayStation Studios and use data to help them make their amazing games even better. We seek dedicated people to join us in pushing the boundaries of game analytics for PlayStation. + +What you will be doing: + +As a Senior Game Data Analyst, you will be working in our cross-disciplinary team to help game studios use data efficiently to improve games. You will work with decision-makers to understand their goals, find opportunities, and guide decisions about features and games across the company. Your responsibilities will include: + + +Analysing data to deliver high quality insights that contribute to game improvements and drive revenue growth. +Collaborating with stakeholders to drive insightful data-informed conversations, spanning from initial business discussions to successful delivery. +Understanding project requirements, defining KPIs and standard metrics, and recommending robust telemetry design. +Overseeing data quality to ensure accuracy and reliability in reporting and analysis. + + +What we are looking for: + + +Advanced SQL knowledge, with a proven track record of applying these skills to analyse complex customer behaviour datasets. +Analytical skills to produce data-backed insights that help improve game design, including experience using statistics, probability, or other quantitative methods. +Experience in driving conversations with a large spectrum of stakeholders, translating sometimes fuzzy business needs into technical requirements, and delivering effective solutions. +In-depth knowledge of the gaming industry, including the realm of live service games. +Experience working with data visualisation tools, such as Looker or Tableau. +Strong presentation skills with the ability to create compelling and engaging presentations. +Experience using and designing game telemetry with AAA or large mobile games. + + +Bonus points if you have: + + +A knack for trying and learning new things. +Experience in Python, Jupyter notebooks, R, or machine learning. + + +“Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights” + +Equal Opportunity Statement: + +Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category. + +We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. + +PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. +Show more ","
+ + + + + +
+
+ Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

Role can be based anywhere in Canada

Department overview:

In Game Analytics, we work with some of the best game studios in the world -- responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including Uncharted, The Last of Us, Horizon, God of War, and Gran Turismo.

We provide end-to-end analytics services for PlayStation Studios and use data to help them make their amazing games even better. We seek dedicated people to join us in pushing the boundaries of game analytics for PlayStation.

What you will be doing:

As a Senior Game Data Analyst, you will be working in our cross-disciplinary team to help game studios use data efficiently to improve games. You will work with decision-makers to understand their goals, find opportunities, and guide decisions about features and games across the company. Your responsibilities will include:

  • Analysing data to deliver high quality insights that contribute to game improvements and drive revenue growth.
  • Collaborating with stakeholders to drive insightful data-informed conversations, spanning from initial business discussions to successful delivery.
  • Understanding project requirements, defining KPIs and standard metrics, and recommending robust telemetry design.
  • Overseeing data quality to ensure accuracy and reliability in reporting and analysis.

What we are looking for:

  • Advanced SQL knowledge, with a proven track record of applying these skills to analyse complex customer behaviour datasets.
  • Analytical skills to produce data-backed insights that help improve game design, including experience using statistics, probability, or other quantitative methods.
  • Experience in driving conversations with a large spectrum of stakeholders, translating sometimes fuzzy business needs into technical requirements, and delivering effective solutions.
  • In-depth knowledge of the gaming industry, including the realm of live service games.
  • Experience working with data visualisation tools, such as Looker or Tableau.
  • Strong presentation skills with the ability to create compelling and engaging presentations.
  • Experience using and designing game telemetry with AAA or large mobile games.

Bonus points if you have:

  • A knack for trying and learning new things.
  • Experience in Python, Jupyter notebooks, R, or machine learning.

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights”

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3934211024,https://ca.linkedin.com/jobs/view/staff-data-analyst-growth-at-stripe-3934211024?position=6&pageNum=5&refId=OlwR8rC0PwEQt0bm0kVFOA%3D%3D&trackingId=gdf7rpZoZLAmNCpx9I6kNw%3D%3D&trk=public_jobs_jserp-result_search-card,"Staff Data Analyst, Growth",Stripe,Canada,"Who we are + +About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Our GTM (Go-To-Market) Analytics team is on the mission to maximize revenue by providing actionable insights and reporting to our partners across Sales, Marketing, and Growth. GTM Analytics is situated within the broader Data Science organization at Stripe, which is home to a diverse team of data analysts and scientists, product managers, and engineers that span their focus across sales, marketing, and product-led growth. GTM Analytics leverages sales, marketing, and product data to build and provide a wide variety of tools that are utilized across the company to drive business decisions. + +What you’ll do + +As a senior member of the GTM Analytics team, you will lead analytical projects that shed light on our self-service business. You will increase our understanding of growth drivers and influence business outcomes by recommending solutions rooted in analyses and your deep understanding of Stripe’s users. You will partner closely with cross-functional Growth pods of product managers, marketers, engineers, and data analysts and scientists that obsess over the experience Stripe users have on their journey to become customers – from initial signup through onboarding and retention. + +Responsibilities + + +Collaborate with Growth stakeholders to ideate, scope, and develop data products that shed light on Stripe’s self-service business. +Influence Stripe’s Growth roadmap by proactively identifying opportunities and emerging trends in Stripe’s Growth business in ongoing forums. +Develop frameworks that allow for analysis at scale across Stripe’s self-service experience. +Build and maintain data pipelines and dashboards that provide consistent and timely data and insights. +Work with finance partners on forecasting and planning models that provide visibility into the future of Stripe’s self-service business. +Define key Growth metrics, gain consensus around their definitions, and drive adoption of their usage. + + + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +8+ years of experience in analytical roles working with large datasets +Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field +Proficiency in SQL and Python +Experience building self-serve dashboards or other scalable analytical tools for partner teams +Strong knowledge of statistics +Expertise in data storytelling and visualization, using data-driven insights to deliver actionable recommendations and drive business goals +Demonstrated ability to lead and deliver on multiple projects with a high attention to detail +Outstanding written and verbal communication skills + + + +Preferred Qualifications + + +Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field +Experience developing data-informed narratives and visualizations for external publication +Experience working with institutions that are respected by policymakers and the wider public for their economic insight +Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark) + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual US base salary range for this role is $179,000 - $268,400. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. + +Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Our GTM (Go-To-Market) Analytics team is on the mission to maximize revenue by providing actionable insights and reporting to our partners across Sales, Marketing, and Growth. GTM Analytics is situated within the broader Data Science organization at Stripe, which is home to a diverse team of data analysts and scientists, product managers, and engineers that span their focus across sales, marketing, and product-led growth. GTM Analytics leverages sales, marketing, and product data to build and provide a wide variety of tools that are utilized across the company to drive business decisions.

What you’ll do

As a senior member of the GTM Analytics team, you will lead analytical projects that shed light on our self-service business. You will increase our understanding of growth drivers and influence business outcomes by recommending solutions rooted in analyses and your deep understanding of Stripe’s users. You will partner closely with cross-functional Growth pods of product managers, marketers, engineers, and data analysts and scientists that obsess over the experience Stripe users have on their journey to become customers – from initial signup through onboarding and retention.

Responsibilities

  • Collaborate with Growth stakeholders to ideate, scope, and develop data products that shed light on Stripe’s self-service business.
  • Influence Stripe’s Growth roadmap by proactively identifying opportunities and emerging trends in Stripe’s Growth business in ongoing forums.
  • Develop frameworks that allow for analysis at scale across Stripe’s self-service experience.
  • Build and maintain data pipelines and dashboards that provide consistent and timely data and insights.
  • Work with finance partners on forecasting and planning models that provide visibility into the future of Stripe’s self-service business.
  • Define key Growth metrics, gain consensus around their definitions, and drive adoption of their usage.


Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • 8+ years of experience in analytical roles working with large datasets
  • Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field
  • Proficiency in SQL and Python
  • Experience building self-serve dashboards or other scalable analytical tools for partner teams
  • Strong knowledge of statistics
  • Expertise in data storytelling and visualization, using data-driven insights to deliver actionable recommendations and drive business goals
  • Demonstrated ability to lead and deliver on multiple projects with a high attention to detail
  • Outstanding written and verbal communication skills


Preferred Qualifications

  • Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field
  • Experience developing data-informed narratives and visualizations for external publication
  • Experience working with institutions that are respected by policymakers and the wider public for their economic insight
  • Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark)


Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

Pay and benefits

The annual US base salary range for this role is $179,000 - $268,400. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3989451291,https://ca.linkedin.com/jobs/view/staff-consultant-analysis-insights-at-dentsu-3989451291?position=7&pageNum=5&refId=OlwR8rC0PwEQt0bm0kVFOA%3D%3D&trackingId=PX7QHlIZjcINHOhRGKXVsg%3D%3D&trk=public_jobs_jserp-result_search-card,Staff Consultant Analysis & Insights,dentsu,Canada,"Company Description + +Merkle | Cardinal Path empowers brands to harness their data and activate against it in pursuit of their business goals. Our passionate experts act as an extension of our clients' teams, leveraging their deep knowledge to help brands maximize media and technology on the path toward digital transformation. + +Job Description + +This role is remote-friendly: Toronto or Vancouver preferred + +The Staff Consultant role at Cardinal Path is designed for people who have some exposure to digital analysis or digital business intelligence but really want to grow existing skills and learn new skills. Areas of growth include (but are not limited to) data visualization, data science, customer analysis, and testing strategies. If this is the right role for you, then read on. + +You are a natural problem solver and a quick learner. You enjoy working with data because it's like a mystery to be solved. You do not give up easily and you know how to separate the signal from the noise. You also enjoy working with people because you can both listen and translate data into meaningful business actions. You are not afraid to re-work a hypothesis. You finding those actionable insights that make clients want to keep coming back to you. + +In this role, you will have the opportunity to work with industry thought leaders and world class clients. We will teach you our analytic methodologies which will be executed through both automated reporting and ongoing analysis. + +Duties & Responsibilities + + +You will document and critically assess the client's business and analysis questions; develop complex metric guides to answer these client queries +You will grow positive client relationships and trust through strong work and timely responsivity +Understand the infrastructure whereby data is collected, either on a website or via media tools; use debugging tools regularly +You will lead data pull methodology from various web analytics and media analytics tools +You will develop visuals to explain data trends, either via dashboarding or data visualization tools +You will provide deep analysis of data; extract & communicate a 'data story', inclusive of visuals, to answer the client's business needs +You will develop clear, effective, on-the-fly communications in response to client queries +You will manage multiple tasks across multiple projects in a timely manner + + +This role reports to a Manager. + +Qualifications + + +Bachelor's degree (quantitative field preferred) +2+ years of business analysis focusing on performance optimization +2+ years of continuous work with digital analysis tools, such as Google Analytics or Adobe Analytics +Excellent communication skills including verbal, written and data visualization +Very strong skills in Excel and PowerPoint + + +Additional Information + +The salary range for this position is $60,000-$75,000. Actual salary within the salary range will be based on a variety of factors including relevant experience. A range of medical, dental, RRSP, paid time off, and other benefits also are available to all permanent employees. + +We know through experience that different perspectives and backgrounds foster a stronger and more creative work environment that delivers better results. We aim to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work. + +We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact canada.recruitment@dentsu.com or to begin a conversation about your individual accessibility needs throughout the hiring process. + + +Show more ","
+ + + + + +
+
+ Company Description

Merkle | Cardinal Path empowers brands to harness their data and activate against it in pursuit of their business goals. Our passionate experts act as an extension of our clients' teams, leveraging their deep knowledge to help brands maximize media and technology on the path toward digital transformation.

Job Description

This role is remote-friendly: Toronto or Vancouver preferred

The Staff Consultant role at Cardinal Path is designed for people who have some exposure to digital analysis or digital business intelligence but really want to grow existing skills and learn new skills. Areas of growth include (but are not limited to) data visualization, data science, customer analysis, and testing strategies. If this is the right role for you, then read on.

You are a natural problem solver and a quick learner. You enjoy working with data because it's like a mystery to be solved. You do not give up easily and you know how to separate the signal from the noise. You also enjoy working with people because you can both listen and translate data into meaningful business actions. You are not afraid to re-work a hypothesis. You finding those actionable insights that make clients want to keep coming back to you.

In this role, you will have the opportunity to work with industry thought leaders and world class clients. We will teach you our analytic methodologies which will be executed through both automated reporting and ongoing analysis.

Duties & Responsibilities

  • You will document and critically assess the client's business and analysis questions; develop complex metric guides to answer these client queries
  • You will grow positive client relationships and trust through strong work and timely responsivity
  • Understand the infrastructure whereby data is collected, either on a website or via media tools; use debugging tools regularly
  • You will lead data pull methodology from various web analytics and media analytics tools
  • You will develop visuals to explain data trends, either via dashboarding or data visualization tools
  • You will provide deep analysis of data; extract & communicate a 'data story', inclusive of visuals, to answer the client's business needs
  • You will develop clear, effective, on-the-fly communications in response to client queries
  • You will manage multiple tasks across multiple projects in a timely manner

This role reports to a Manager.

Qualifications

  • Bachelor's degree (quantitative field preferred)
  • 2+ years of business analysis focusing on performance optimization
  • 2+ years of continuous work with digital analysis tools, such as Google Analytics or Adobe Analytics
  • Excellent communication skills including verbal, written and data visualization
  • Very strong skills in Excel and PowerPoint

Additional Information

The salary range for this position is $60,000-$75,000. Actual salary within the salary range will be based on a variety of factors including relevant experience. A range of medical, dental, RRSP, paid time off, and other benefits also are available to all permanent employees.

We know through experience that different perspectives and backgrounds foster a stronger and more creative work environment that delivers better results. We aim to create workplaces that reflect the clients we serve and where everyone feels empowered to bring their full, authentic selves to work.

We are committed to working with our candidates from all ability levels throughout the recruitment process to ensure that they have what they need to be at their best. If you need accommodation during the application or interview process, please contact canada.recruitment@dentsu.com or to begin a conversation about your individual accessibility needs throughout the hiring process.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3991905426,https://ca.linkedin.com/jobs/view/data-insights-analyst-at-cineplex-3991905426?position=8&pageNum=5&refId=OlwR8rC0PwEQt0bm0kVFOA%3D%3D&trackingId=ZYHXris98scDsK9qYrboSg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Insights Analyst,Cineplex,"Toronto, Ontario, Canada","Work location: + +Home Office 1303 Yonge St + +City: + +Toronto + +What you will do: + +Data Insights Analyst + +Hybrid position working from the Cineplex corporate office at 1303 Yonge Street, Toronto (Yonge, south of St. Clair) 3 days per week. + +The Data Insights Analyst will join the Data Science & Insights team that empowers the Cineplex organization to optimize and delight the customer experience with data-informed insights and capabilities. + +The successful candidate will play a pivotal role in evolving Cineplex’s ability to extract and present actionable data insights to key stakeholders in order to better understand and improve the end-to-end customer experience across Cineplex’s digital and offline channels. The Analyst is responsible for collaborating with product and design teams to support their KPIs and dashboard requirements, and communicating actionable insights to key stakeholders in order to improve the customer experience. + +Key Responsibilities: + +Technical & Business Expertise + + +Provide analytical expertise of the customer and digital data ecosystem with a strong command of data analysis techniques and data collection processes +Develop and maintain user-friendly dashboards, scorecards, and presentations that clearly highlight the actionable insights and opportunities +Understand the “big picture” and how customer and market insights tie back to business priorities + + +Inspiring & Influencing + + +Be the subject matter expert to represent the customer data and digital analytics function on cross-functional product teams +Influence and use data insights to tell stories through distilling complex concepts into simple themes that are relevant to key stakeholders, teams, and executives + + +Teamwork & Collaboration + + +Collaborate closely with a variety of product development teams to define their business and data requirements to better understand the performance and effectiveness of various strategic priorities +Gather and prioritize net new data requests from key stakeholders to the data engineering and data science teams based on business value + + +Education and Certification: + + +Bachelor’s or equivalent degrees in economics, computer science, engineering, or similar fields with a quantitative focus + + +Experience Needed: + + +3-5 years’ experience with building data models, querying/organizing large datasets, and visualizing data into dashboards (i.e. SQL/databases, Power BI, Tableau, Excel, etc.) is required. +3-5 years’ experience working with Adobe Analytics and/or Google Analytics is required. +3-5 years’ experience with interpreting and presenting insights to a variety of stakeholders with varying data competencies, including executives +Experience with other Adobe products is considered an asset (i.e. Target, Launch, Experience Platform) + + +Knowledge, Skills and Abilities: + + +High proficiency in data storytelling and presentation, written, and verbal communication skills to executives and multiple stakeholder teams +Strong planning and organizational skills with the ability to perform effectively in an environment with many competing demands +Deep understanding of market research and analytics to ensure our analytics and insights practice is the gold standard in the industry +Familiar with agile methodology and practices +Proven ability to work creatively and analytically in a problem-solving environment +Comfortable to challenge the status quo enabling effective decision making + + +Inclusion & Diversity + +Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable. + +Accessibility + +We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com. + +While we appreciate all interest, only those candidates selected for an interview will be contacted. +Show more ","
+ + + + + +
+
+ Work location:

Home Office 1303 Yonge St

City:

Toronto

What you will do:

Data Insights Analyst

Hybrid position working from the Cineplex corporate office at 1303 Yonge Street, Toronto (Yonge, south of St. Clair) 3 days per week.

The Data Insights Analyst will join the Data Science & Insights team that empowers the Cineplex organization to optimize and delight the customer experience with data-informed insights and capabilities.

The successful candidate will play a pivotal role in evolving Cineplex’s ability to extract and present actionable data insights to key stakeholders in order to better understand and improve the end-to-end customer experience across Cineplex’s digital and offline channels. The Analyst is responsible for collaborating with product and design teams to support their KPIs and dashboard requirements, and communicating actionable insights to key stakeholders in order to improve the customer experience.

Key Responsibilities:

Technical & Business Expertise

  • Provide analytical expertise of the customer and digital data ecosystem with a strong command of data analysis techniques and data collection processes
  • Develop and maintain user-friendly dashboards, scorecards, and presentations that clearly highlight the actionable insights and opportunities
  • Understand the “big picture” and how customer and market insights tie back to business priorities

Inspiring & Influencing

  • Be the subject matter expert to represent the customer data and digital analytics function on cross-functional product teams
  • Influence and use data insights to tell stories through distilling complex concepts into simple themes that are relevant to key stakeholders, teams, and executives

Teamwork & Collaboration

  • Collaborate closely with a variety of product development teams to define their business and data requirements to better understand the performance and effectiveness of various strategic priorities
  • Gather and prioritize net new data requests from key stakeholders to the data engineering and data science teams based on business value

Education and Certification:

  • Bachelor’s or equivalent degrees in economics, computer science, engineering, or similar fields with a quantitative focus

Experience Needed:

  • 3-5 years’ experience with building data models, querying/organizing large datasets, and visualizing data into dashboards (i.e. SQL/databases, Power BI, Tableau, Excel, etc.) is required.
  • 3-5 years’ experience working with Adobe Analytics and/or Google Analytics is required.
  • 3-5 years’ experience with interpreting and presenting insights to a variety of stakeholders with varying data competencies, including executives
  • Experience with other Adobe products is considered an asset (i.e. Target, Launch, Experience Platform)

Knowledge, Skills and Abilities:

  • High proficiency in data storytelling and presentation, written, and verbal communication skills to executives and multiple stakeholder teams
  • Strong planning and organizational skills with the ability to perform effectively in an environment with many competing demands
  • Deep understanding of market research and analytics to ensure our analytics and insights practice is the gold standard in the industry
  • Familiar with agile methodology and practices
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Comfortable to challenge the status quo enabling effective decision making

Inclusion & Diversity

Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable.

Accessibility

We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment oporunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at 416-323-6600 or via email at jobs@cineplex.com.

While we appreciate all interest, only those candidates selected for an interview will be contacted. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3987683224,https://ca.linkedin.com/jobs/view/analyst-business-intelligence-at-bell-3987683224?position=1&pageNum=7&refId=L%2Bvvtb91PzuWvDebunD5eA%3D%3D&trackingId=79pJyOx7UAQ5i8WLoWhveQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Analyst, Business Intelligence",Bell,"Toronto, Ontario, Canada","Req Id: 419645 + +At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences. + +We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play. + +Join us. You belong at Bell. + +Summary + +Do you thrive in working in a fast-paced environment? Does the chance to work for an organization leading the charge on revolutionizing the telecommunications industry excite you? If you answered yes, then we have an exciting career opportunity for you. + +The Consumer Business Intelligence team is looking for a Business Intelligence analyst to support the maintenance of our campaign data mart which is used to create targeted customer and prospecting lists. The main responsibilities are outlined below. + +Key Responsibilities + + +Work with stakeholders to define business scope. +Analyze and synthesize information provided by stakeholders. +Define and deliver business requirements by leading working sessions. +Work closely with project team and coordinate activities related to design and development. +Define overall testing strategies and provide support all levels of testing and defect resolution. +Document and supervise processes implementation. +Manage multiple concurrent projects and priorities. +Manage incoming data development or investigation requests and engage stakeholders to understand the underlying problem, base assumptions and desired outcomes +Enforce standards around documentation and overall quality of deliverables +Act as steward for standards around data model, data dictionary and implementation of business rules and definitions + + +Critical Qualifications + + +2+ years experience in SQL programming +Experience with Oracle, Teradata, ETL tools +2+ years experience in BI, analytics or related disciplines +Bachelor’s/Master’s degree in Information Technology , BI, Engineering, Business, Mathematics & Statistics and/or related fields +Excellent written and oral communicator with a demonstrable history of developing strong partnerships and cross-team collaboration +Strong business acumen, with an appreciation for the need to quickly execute in an ever-evolving competitive environment +Ability to quickly analyze information and determine “what does this mean for the business” + + +Preferred Qualifications + + +Working knowledge of SAS Enterprise Guide +Experience with Unica or any other campaign management tool (Adobe, Pega, Salesforces…) +Experience with Jira, Confluence +Bilingual (English/French) +Experience with data modeling +Knowledge of telecommunication sector +Proven project management and change management skills + + +#EmployeeReferralProgram + +Adequate knowledge of French is required for positions in Quebec. + +Additional Information + +Position Type: ManagementJob Status: Regular - Full TimeJob Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Quebec : Montreal + +Work Arrangement: Hybrid + +Application Deadline: 08/09/2024 + +For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs. + +Please apply directly online to be considered for this role. Applications through email will not be accepted. + +We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners. + +We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential. + +We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us. + +Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information. + +Created: 1438, 1617, 1825 + +Bell, one of Canada's Top 100 Employers. + +419645 +Show more ","
+ + + + + +
+
+ Req Id: 419645

At Bell, our purpose is to advance how Canadians connect with each other and the world. We achieve this by providing consumers and businesses with the best network technologies in the world, innovative digital solutions and seamless customer experiences. It’s all developed and delivered by the members of #TeamBell and we’re always on the lookout for people with great skills and experiences.

We value diversity and provide a supportive, inclusive community where all team members can succeed. And through our commitment to environmental, social and governance initiatives, you will feel good about the greater impact you will have – making every day better for people as they connect, work, learn and play.

Join us. You belong at Bell.

Summary

Do you thrive in working in a fast-paced environment? Does the chance to work for an organization leading the charge on revolutionizing the telecommunications industry excite you? If you answered yes, then we have an exciting career opportunity for you.

The Consumer Business Intelligence team is looking for a Business Intelligence analyst to support the maintenance of our campaign data mart which is used to create targeted customer and prospecting lists. The main responsibilities are outlined below.

Key Responsibilities

  • Work with stakeholders to define business scope.
  • Analyze and synthesize information provided by stakeholders.
  • Define and deliver business requirements by leading working sessions.
  • Work closely with project team and coordinate activities related to design and development.
  • Define overall testing strategies and provide support all levels of testing and defect resolution.
  • Document and supervise processes implementation.
  • Manage multiple concurrent projects and priorities.
  • Manage incoming data development or investigation requests and engage stakeholders to understand the underlying problem, base assumptions and desired outcomes
  • Enforce standards around documentation and overall quality of deliverables
  • Act as steward for standards around data model, data dictionary and implementation of business rules and definitions

Critical Qualifications

  • 2+ years experience in SQL programming
  • Experience with Oracle, Teradata, ETL tools
  • 2+ years experience in BI, analytics or related disciplines
  • Bachelor’s/Master’s degree in Information Technology , BI, Engineering, Business, Mathematics & Statistics and/or related fields
  • Excellent written and oral communicator with a demonstrable history of developing strong partnerships and cross-team collaboration
  • Strong business acumen, with an appreciation for the need to quickly execute in an ever-evolving competitive environment
  • Ability to quickly analyze information and determine “what does this mean for the business”

Preferred Qualifications

  • Working knowledge of SAS Enterprise Guide
  • Experience with Unica or any other campaign management tool (Adobe, Pega, Salesforces…)
  • Experience with Jira, Confluence
  • Bilingual (English/French)
  • Experience with data modeling
  • Knowledge of telecommunication sector
  • Proven project management and change management skills

#EmployeeReferralProgram

Adequate knowledge of French is required for positions in Quebec.

Additional Information

Position Type: ManagementJob Status: Regular - Full TimeJob Location: Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Quebec : Montreal

Work Arrangement: Hybrid

Application Deadline: 08/09/2024

For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

Please apply directly online to be considered for this role. Applications through email will not be accepted.

We know that caring for our team members is at the heart of a healthy, positive and thriving workplace. As part of our team, you’ll enjoy a comprehensive compensation package that includes a competitive salary and a wide range of benefits to support the well-being of you and your family. As soon as you join us, you'll be eligible for medical, dental, vision and mental health benefits that you can tailor to your specific needs. Plus, as a Bell team member, you'll enjoy a 35% discount on our services and access exclusive offers from our partners.

We value the experiences that have shaped who you are, and we know the diversity of your talent will bring even greater strength to our team. At Bell, everyone belongs and you’ll feel valued, respected and supported as you grow and reach your full potential.

We also want to make sure that everyone has an equal opportunity to join our team. We encourage individuals who may require accommodations during the hiring process to let us know. For a confidential inquiry, email your recruiter or recruitment@bell.ca to make arrangements. If you have questions or feedback regarding accessibility at Bell, we invite you to complete the Accessibility feedback form or visit our Accessibility page for other ways to contact us.

Artificial intelligence may be used to assess parts of your application. Please review our privacy policy (see Phenom for details) to learn more about how we collect, use, and disclose your personal information.

Created: 1438, 1617, 1825

Bell, one of Canada's Top 100 Employers.

419645 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3944075798,https://ca.linkedin.com/jobs/view/data-analyst-modeler-advisory-at-scotiabank-3944075798?position=2&pageNum=7&refId=L%2Bvvtb91PzuWvDebunD5eA%3D%3D&trackingId=f13MdjmFvWGZE7NpITuQig%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst / Modeler Advisory,Scotiabank,"Toronto, Ontario, Canada","Requisition ID: 201119 + +Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. + +Data Analyst Advisory + +We are looking for an experienced Data Analyst to join our team. + +Is this role right for you? In this role you will: + + +Work with business users to obtain data requirements and analyze source systems data. +Design and develop conceptual, logical and physical data models for the operational and analytical databases +Work closely with the technical and application architects, and developers to implement the solution architecture +Communicate physical database designs to, and work with, database administrator to implement databases +Document data flows, identify appropriate data sources, entities, relationships and redundancies +Manage data integrity and data quality. +Maintain technical & business metadata. Generate metadata for Hadoop ingestion for different frameworks. +Design data structures and document data meanings, definitions and intended use, work with various departments/leaders and data stewards to make the “metadata” available +Define and document the data architecture for operational databases, reporting and provisioning platforms, including the physical components and their functionality +Support data strategies, standards, guidelines data quality process and governance across the enterprise +Provide leadership in researching and architecting emerging technology solutions to meet business objectives + + +Skills + +Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have: + + +Relational and dimensional data modeling and database design, Erwin (Data modeling) skills. +Strong SQL and and Hive (Hadoop) experience. +Knowledge of data architectural approaches, patterns and emerging technologies (RDBMS, Hadoop and Cloud) +Ability to translate business needs into technical solutions. Strong Analytical skills. +Experience creating architecture and strategy artifacts +Experience of XML, JSON, Copybook, CSV files ingestion +Experience working in Agile environment +Domain Knowledge in financial Services and enterprise functions +Knowledge of database administration, database performance tuning, source & target data structures, ETL processes & products +Knowledge of Data Governance process for metadata and lineage management + + +What's in it for you? + + +Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. +Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. +Upskilling through online courses, cross-functional development opportunities, and tuition assistance. +Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. +Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more! + + +Work arrangements: Hybrid + +Location(s): Canada : Ontario : Toronto + +Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. + +At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted. + + +Show more ","
+ + + + + +
+
+ Requisition ID: 201119

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Data Analyst Advisory

We are looking for an experienced Data Analyst to join our team.

Is this role right for you? In this role you will:

  • Work with business users to obtain data requirements and analyze source systems data.
  • Design and develop conceptual, logical and physical data models for the operational and analytical databases
  • Work closely with the technical and application architects, and developers to implement the solution architecture
  • Communicate physical database designs to, and work with, database administrator to implement databases
  • Document data flows, identify appropriate data sources, entities, relationships and redundancies
  • Manage data integrity and data quality.
  • Maintain technical & business metadata. Generate metadata for Hadoop ingestion for different frameworks.
  • Design data structures and document data meanings, definitions and intended use, work with various departments/leaders and data stewards to make the “metadata” available
  • Define and document the data architecture for operational databases, reporting and provisioning platforms, including the physical components and their functionality
  • Support data strategies, standards, guidelines data quality process and governance across the enterprise
  • Provide leadership in researching and architecting emerging technology solutions to meet business objectives

Skills

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

  • Relational and dimensional data modeling and database design, Erwin (Data modeling) skills.
  • Strong SQL and and Hive (Hadoop) experience.
  • Knowledge of data architectural approaches, patterns and emerging technologies (RDBMS, Hadoop and Cloud)
  • Ability to translate business needs into technical solutions. Strong Analytical skills.
  • Experience creating architecture and strategy artifacts
  • Experience of XML, JSON, Copybook, CSV files ingestion
  • Experience working in Agile environment
  • Domain Knowledge in financial Services and enterprise functions
  • Knowledge of database administration, database performance tuning, source & target data structures, ETL processes & products
  • Knowledge of Data Governance process for metadata and lineage management

What's in it for you?

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

Work arrangements: Hybrid

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3988710647,https://ca.linkedin.com/jobs/view/lead-data-analyst-at-genpact-3988710647?position=4&pageNum=7&refId=L%2Bvvtb91PzuWvDebunD5eA%3D%3D&trackingId=X1bNfQfW2Kp6fffbTNqIXw%3D%3D&trk=public_jobs_jserp-result_search-card,Lead Data Analyst,Genpact,Canada,"We are seeking an experienced Senior Software Engineer with a strong background in Data Engineering. The ideal candidate will have a passion for technology, excellent problem-solving skills, and the ability to lead and mentor junior engineers. + +Experience: Minimum of 5 years in software engineering with a focus on data engineering. +Technical Skills: +Proficiency in programming languages such as Python, C#, or JavaScript. +Strong experience with software development frameworks and libraries. +Expertise in designing and developing scalable and maintainable software systems. +Experience with version control systems (e.g., Git). +Familiarity with Agile development methodologies. +Knowledge of database systems (e.g., SQL, NoSQL) and data modeling. +Experience with AWS. +Soft Skills: +Excellent problem-solving and analytical skills. +Strong communication and collaboration skills. +Ability to work independently and as part of a team. +Proven ability to lead and mentor junior team members. +Preferred Qualifications: +Experience with microservices architecture and containerization (e.g., Docker, Kubernetes). +Knowledge of DevOps practices and tools (e.g., CI/CD pipelines, GitLab). +Experience with front-end technologies (e.g., React, Angular, Vue.js) is a plus. +Familiarity with orchestration and workflow technologies (e.g., Airflow, Dagster). + +Show more ","
+ + + + + +
+
+

We are seeking an experienced Senior Software Engineer with a strong background in Data Engineering. The ideal candidate will have a passion for technology, excellent problem-solving skills, and the ability to lead and mentor junior engineers.

  • Experience: Minimum of 5 years in software engineering with a focus on data engineering.
  • Technical Skills:
  • Proficiency in programming languages such as Python, C#, or JavaScript.
  • Strong experience with software development frameworks and libraries.
  • Expertise in designing and developing scalable and maintainable software systems.
  • Experience with version control systems (e.g., Git).
  • Familiarity with Agile development methodologies.
  • Knowledge of database systems (e.g., SQL, NoSQL) and data modeling.
  • Experience with AWS.
  • Soft Skills:
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Proven ability to lead and mentor junior team members.
  • Preferred Qualifications:
  • Experience with microservices architecture and containerization (e.g., Docker, Kubernetes).
  • Knowledge of DevOps practices and tools (e.g., CI/CD pipelines, GitLab).
  • Experience with front-end technologies (e.g., React, Angular, Vue.js) is a plus.
  • Familiarity with orchestration and workflow technologies (e.g., Airflow, Dagster).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3989171155,https://ca.linkedin.com/jobs/view/data-analyst-pantaho-data-insurance-at-alquemy-search-consulting-3989171155?position=5&pageNum=7&refId=L%2Bvvtb91PzuWvDebunD5eA%3D%3D&trackingId=9JdvCJCRBp3RUHmYC8Q2TQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Pantaho/Data Insurance,Alquemy Search & Consulting,"Toronto, Ontario, Canada","Data Analyst - Pentaho/Data Insurance + + + + +Contract opportunity that will start at 2 months and is expected to extend + + + + +100% remote from anywhere in Canada + + + + +Desired skills & experience: + +Ideally ""Pentaho"", also Talend, Informatica, Apache Nifi, AWS Glue +Financial Industry experience +Data Insurance +Data Integrity +Data Backup & Recovery +Data Auditing and Monitoring +EDW +SQL +Data Modeling + + + + +$100 - $120 per hour for an INC consultant + +Flexible related to experience + + + + +If you're interested, please apply with resume. + +I will be in contact quickly with additional details and next steps. + +Best regards, + +Show more ","
+ + + + + +
+
+

Data Analyst - Pentaho/Data Insurance


Contract opportunity that will start at 2 months and is expected to extend


100% remote from anywhere in Canada


Desired skills & experience:

  • Ideally ""Pentaho"", also Talend, Informatica, Apache Nifi, AWS Glue
  • Financial Industry experience
  • Data Insurance
  • Data Integrity
  • Data Backup & Recovery
  • Data Auditing and Monitoring
  • EDW
  • SQL
  • Data Modeling


$100 - $120 per hour for an INC consultant

Flexible related to experience


If you're interested, please apply with resume.

I will be in contact quickly with additional details and next steps.

Best regards,

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3971395541,https://ca.linkedin.com/jobs/view/data-analyst-intern-at-klue-3971395541?position=1&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=hWPvUB9bkqJ0Wbql7kB9%2FA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Intern,Klue,"Vancouver, British Columbia, Canada","👋 You found us. Awesome. Something led you here, maybe a glimpse of potential and something amazing? Well that’s how we feel about Klue. + +Who are we? + +Klue is a VC backed, capital-efficient high growth SaaS company. Tiger Global and Salesforce Ventures led our US$62m Series B in the fall of 2021. We’re creating the category of competitive enablement: helping companies understand their market and outmaneuver their competition. We benefit from having an experienced leadership team working alongside several hundred risk-taking builders who elevate every day. + +We’re one of Canada’s Most Admired Corporate Cultures by Waterstone HC, a Deloitte Technology Fast 50 & Fast 500 winner, and recipient of both the Startup of the Year and Tech Culture of the Year awards at the Technology Impact Awards. + +We’re growing and currently looking to add a Data Analyst Intern to our team. + +This internship will span several functions of the Insights department and will give you a broad view of what it takes to run an innovative SaaS company. Klue is a very collaborative company where we believe in the value that can be unlocked by sharing data insights across departments and clients - you'll be getting a full picture of how a SaaS company on a rocketship trajectory operates. You’ll have many opportunities to listen in on strategic conversations and will be encouraged to ask questions along the way. As the company grows, we will have many roles to fill within the Insights department and would hope the right candidate would consider returning one day. + +As a data analyst intern, you will be focused on helping our insights team ensure our data providers and outsourced content creators are delivering accurate data to their end-users. + +The Data team's scope covers data validation for existing sources, outsourced content, and new potential data sources. As the data marketplace is always evolving, you will also be involved in broader projects across the team. + +This is You: + + +Highly analytical and critical thinker +Ability to digest and communicate complex data +You like ambiguity and thrive in fast-paced environments +You have experience with Excel and/or Python +You like to learn new things and are keen to become an expert + + +Bonus points for... + + +Experience with analytics platforms, data cleaning initiatives, data gathering. + + +What you'll be measured on: + + +Ability to identify trends in data sets and develop unique solutions. +Efficiency in data gathering and data cleaning. + + +How We Work + + +Hybrid. Best of both worlds (remote & in-office) +Our main Canadian hubs are in Vancouver and Toronto, and most of our teams are located in EST and PST. +You and your team will be in office at least 2 days per week. + + +⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ + +Lastly, we take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application. Reach out and let’s see if there is a home here for you now or in the future. + +We’ve made a commitment to support and contribute to a diverse environment; on our teams and in our community. We’re early in our journey; we've started employee led resource groups, committed to Pay Up For Progress, and use success profiles for roles instead of 'years of experience'. We continue to scale our efforts as Klue grows. We’re proud to be an equal opportunity employer and have dedicated that commitment to our current and future #kluecrew. During the interview process, please let us know if there is anything we need to make more accessible or accommodate to support you to be successful. + +All interviews will be conducted via video calls. We work in a hybrid model of WFH (remote) and in-office. We’re excited to meet you and in the meantime, get to know us: + +🌈 Pay Up For Progress & 50 - 30 Challenge & Klue Blog + +✅✅ Win-Loss Acquisition (2023) + +🅰️ Series A (2020) + +🐅 Series B (2021) + +🏆 Culture, culture, culture! + +🎧 Winning as Women & Competitive Enablement Show + +🔍 Glassdoor + +🐝 About Us + +🐥 Twitter + +📸 Instagram + +☕️ LinkedIn + +🦄 Wellfound (AngelList) + +Compensation Range: CA$44K - CA$44.7K +Show more ","
+ + + + + +
+
+ 👋 You found us. Awesome. Something led you here, maybe a glimpse of potential and something amazing? Well that’s how we feel about Klue.

Who are we?

Klue is a VC backed, capital-efficient high growth SaaS company. Tiger Global and Salesforce Ventures led our US$62m Series B in the fall of 2021. We’re creating the category of competitive enablement: helping companies understand their market and outmaneuver their competition. We benefit from having an experienced leadership team working alongside several hundred risk-taking builders who elevate every day.

We’re one of Canada’s Most Admired Corporate Cultures by Waterstone HC, a Deloitte Technology Fast 50 & Fast 500 winner, and recipient of both the Startup of the Year and Tech Culture of the Year awards at the Technology Impact Awards.

We’re growing and currently looking to add a Data Analyst Intern to our team.

This internship will span several functions of the Insights department and will give you a broad view of what it takes to run an innovative SaaS company. Klue is a very collaborative company where we believe in the value that can be unlocked by sharing data insights across departments and clients - you'll be getting a full picture of how a SaaS company on a rocketship trajectory operates. You’ll have many opportunities to listen in on strategic conversations and will be encouraged to ask questions along the way. As the company grows, we will have many roles to fill within the Insights department and would hope the right candidate would consider returning one day.

As a data analyst intern, you will be focused on helping our insights team ensure our data providers and outsourced content creators are delivering accurate data to their end-users.

The Data team's scope covers data validation for existing sources, outsourced content, and new potential data sources. As the data marketplace is always evolving, you will also be involved in broader projects across the team.

This is You:

  • Highly analytical and critical thinker
  • Ability to digest and communicate complex data
  • You like ambiguity and thrive in fast-paced environments
  • You have experience with Excel and/or Python
  • You like to learn new things and are keen to become an expert

Bonus points for...

  • Experience with analytics platforms, data cleaning initiatives, data gathering.

What you'll be measured on:

  • Ability to identify trends in data sets and develop unique solutions.
  • Efficiency in data gathering and data cleaning.

How We Work

  • Hybrid. Best of both worlds (remote & in-office)
  • Our main Canadian hubs are in Vancouver and Toronto, and most of our teams are located in EST and PST.
  • You and your team will be in office at least 2 days per week.

⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️

Lastly, we take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application. Reach out and let’s see if there is a home here for you now or in the future.

We’ve made a commitment to support and contribute to a diverse environment; on our teams and in our community. We’re early in our journey; we've started employee led resource groups, committed to Pay Up For Progress, and use success profiles for roles instead of 'years of experience'. We continue to scale our efforts as Klue grows. We’re proud to be an equal opportunity employer and have dedicated that commitment to our current and future #kluecrew. During the interview process, please let us know if there is anything we need to make more accessible or accommodate to support you to be successful.

All interviews will be conducted via video calls. We work in a hybrid model of WFH (remote) and in-office. We’re excited to meet you and in the meantime, get to know us:

🌈 Pay Up For Progress & 50 - 30 Challenge & Klue Blog

✅✅ Win-Loss Acquisition (2023)

🅰️ Series A (2020)

🐅 Series B (2021)

🏆 Culture, culture, culture!

🎧 Winning as Women & Competitive Enablement Show

🔍 Glassdoor

🐝 About Us

🐥 Twitter

📸 Instagram

☕️ LinkedIn

🦄 Wellfound (AngelList)

Compensation Range: CA$44K - CA$44.7K +
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",2024-07-09,[] +3982710750,https://ca.linkedin.com/jobs/view/data-analyst-remote-work-website-design-valley-at-bcjobs-3982710750?position=4&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=%2FUGORJZ0mBr7vM3xH7bZjA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst - Remote Work (Website Design Valley),BCJobs,"Vancouver, British Columbia, Canada","About Us + +Website Design Valley is a premier web design and development company dedicated to delivering innovative digital solutions. We specialize in creating high-quality websites and comprehensive digital strategies for our clients. As we continue to expand, we are seeking a skilled Data Analyst to join our remote team. + +Job Description + +We are looking for a detail-oriented and analytical Data Analyst to help us interpret and utilize data to drive informed business decisions. The ideal candidate will have a strong background in data analysis, a passion for technology, and the ability to work effectively in a remote team environment. + +Key Responsibilities + +Collect, organize, and analyze large datasets to provide actionable insights. + +Develop and maintain dashboards and reports to track key performance indicators (KPIs). + +Identify trends, patterns, and anomalies in data to support strategic decision-making. + +Collaborate with cross-functional teams to understand their data needs and provide solutions. + +Conduct market research and competitor analysis to identify opportunities and trends. + +Present findings and recommendations to stakeholders in a clear and concise manner. + +Ensure data accuracy and integrity through regular audits and validation processes. + +Stay up-to-date with the latest data analysis tools and techniques. + +Qualifications + +Proven experience as a Data Analyst or similar role. + +Proficiency in data analysis tools and software, such as SQL, Python, R, and Excel. + +Experience with data visualization tools, such as Tableau, Power BI, or similar. + +Strong analytical and problem-solving skills. + +Excellent written and verbal communication skills. + +Ability to work independently and manage time effectively in a remote work environment. + +Preferred Qualifications + +Experience in the web design and development industry. + +Knowledge of machine learning and predictive analytics. + +Familiarity with cloud-based data platforms like AWS, Google Cloud, or Azure. + +Understanding of marketing analytics and customer segmentation. + +What We Offer + +Competitive salary and benefits package. + +Flexible working hours and remote work environment. + +Opportunities for professional growth and development. + +Collaborative and inclusive company culture. + +Health, dental, and vision insurance. + +Generous paid time off and holidays. + +Hourly pay rate: $30 - $40 CAD per hour, depending on experience and qualifications. + +How To Apply + +If you are passionate about data analysis and excited about working in a dynamic and innovative environment, we would love to hear from you! Please apply! + +Website Design Valley is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. + +Value +Show more ","
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+ About Us

Website Design Valley is a premier web design and development company dedicated to delivering innovative digital solutions. We specialize in creating high-quality websites and comprehensive digital strategies for our clients. As we continue to expand, we are seeking a skilled Data Analyst to join our remote team.

Job Description

We are looking for a detail-oriented and analytical Data Analyst to help us interpret and utilize data to drive informed business decisions. The ideal candidate will have a strong background in data analysis, a passion for technology, and the ability to work effectively in a remote team environment.

Key Responsibilities

Collect, organize, and analyze large datasets to provide actionable insights.

Develop and maintain dashboards and reports to track key performance indicators (KPIs).

Identify trends, patterns, and anomalies in data to support strategic decision-making.

Collaborate with cross-functional teams to understand their data needs and provide solutions.

Conduct market research and competitor analysis to identify opportunities and trends.

Present findings and recommendations to stakeholders in a clear and concise manner.

Ensure data accuracy and integrity through regular audits and validation processes.

Stay up-to-date with the latest data analysis tools and techniques.

Qualifications

Proven experience as a Data Analyst or similar role.

Proficiency in data analysis tools and software, such as SQL, Python, R, and Excel.

Experience with data visualization tools, such as Tableau, Power BI, or similar.

Strong analytical and problem-solving skills.

Excellent written and verbal communication skills.

Ability to work independently and manage time effectively in a remote work environment.

Preferred Qualifications

Experience in the web design and development industry.

Knowledge of machine learning and predictive analytics.

Familiarity with cloud-based data platforms like AWS, Google Cloud, or Azure.

Understanding of marketing analytics and customer segmentation.

What We Offer

Competitive salary and benefits package.

Flexible working hours and remote work environment.

Opportunities for professional growth and development.

Collaborative and inclusive company culture.

Health, dental, and vision insurance.

Generous paid time off and holidays.

Hourly pay rate: $30 - $40 CAD per hour, depending on experience and qualifications.

How To Apply

If you are passionate about data analysis and excited about working in a dynamic and innovative environment, we would love to hear from you! Please apply!

Website Design Valley is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Value +
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+ +
",2024-07-26,[] +3988530358,https://ca.linkedin.com/jobs/view/data-analyst-street-operations-at-city-of-vancouver-3988530358?position=5&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=eG2Ef4DhTiZjMiV2GYLqOw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Street Operations),City of Vancouver,"Vancouver, British Columbia, Canada","Requisition ID: 41849 + +Organization + +Located on the traditional, ancestral and unceded lands of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Peoples, Vancouver has a commitment to becoming a City of Reconciliation. Vancouver consistently ranks as one of the world’s most liveable cities and is working towards being the greenest city in the world. Named among Canada's Top 100 Employers, BC's Top Employers, and Canada's Greenest Employers, the City of Vancouver seeks colleagues who can help shape and embody our core commitments to sustainability, reconciliation, equity and outstanding quality of life for all residents. + +Consider joining our committed team of staff and being part of an innovative, inclusive and rewarding workplace. + +Main Purpose & Function + +This position is responsible for providing technical oversight of Street Operations data collection for street and sidewalk infrastructure maintenance and repair programs and ensuring that data is maintained in accordance with best practices. This position performs highly complex data analysis using large data sets and produces visualization, reports and summaries related to expenditures, schedules and accomplishments, using modern business intelligence (BI) tools. + +The Data Specialist supports asset maintenance and repair programs for streets, sidewalks, and structures in accordance with best practices including: analysis of large data sets related to pavement, sidewalks and structures, analysis of capital, operating, repair and maintenance costs for various asset types, and review of asset management data sets to inform maintenance and repair programs. + +The position reports to the Superintendent I – Cuts, Utilities & Operations Administration, and works collaboratively with senior leadership to support decision making for the branch. This position also liaises with Streets Design, Finance, Risk Management and other Engineering branches. + +Specific Duties & Responsibilities + + +Manages the ongoing operation and maintenance of data and related data infrastructure to meet the data analytics and reporting needs of the Streets Operations Branch. +Leads, consults, and participates in business process and technology reviews of all Street Operations functions recommending solutions and alternatives related to the accessibility, interaction, and presentation of data. +Leads the development of Business Intelligence (BI) Reporting platform for Street Operations. +Designs and implements sustainable and repeatable data management approaches involving cloud, on-premise, and big data datasets and technologies. +Develops and maintains large data sets pertaining to spending, cut repairs, work accomplishments, 311 citizen complaints, equipment, etc. from multiple City of Vancouver sources including but not limited to SAP, Hansen and SEAM. +Designs and develops reports, visualizations, and dashboards for tracking KPIs, metrics and service levels using advanced Excel, GIS Software, and modern BI tools for presentation at the branch, divisional, and department level, as well as to external stakeholders. +Recommends solutions and alternatives related to the accessibility, interaction, and presentation of data. +Identifies implications and makes recommendations for changes in data processes and procedures that may affect operational areas. +Collects and analyzes data to complete current state analyses and to optimize solutions. +Processes data sets for quality assurance and following up for corrective action where required. +Builds financial models that accurately project the annual cost recovery rates required to balance expenses such as equipment and fleet. +Collaborates with broad, multi-functional project teams to maintain clarity of objectives and alignment on implementation plans. +Manage data requests from internal and external stakeholders including other Engineering Services branches, 311, Risk Management, Freedom of Information, and Legal Services. +Teaches, mentors and supports administrative staff in the application of best practice approaches to data input and administration to ensure data accuracy and integrity. +Directs and reviews the data collection work of manual data collection efforts. +Other duties/responsibilities as assigned. + + +Qualifications + +Education and Experience: + + +Completion of a post-secondary degree from a recognized post-secondary institution in Business Administration, Business Analytics or related field of study plus considerable experience in data analysis, business process and/or performance improvement in a public sector or large multi stakeholder organization or an equivalent combination of education, training and experience. + + +Knowledge, Skills And Abilities + + +Strong knowledge of Microsoft Power BI, Dataflows, Power BI Service and paginated reports. +Sound knowledge of structured operational business processes. +Working knowledge of could and on-premise warehouses and query systems. +Advanced in the use of Microsoft Excel and office suite with excellent keyboarding skills +Analytical skills, accuracy and attention to detail with a strong sense of accountability. +Skilled in the use of data systems and statistical data collection. +Excellent business writing skills. +Ability to analyze and synthesize data from multiple data sources and formats. +Ability to work with query languages (SQL, MDX, etc.) +Ability to design and build data warehouses and data marts. +Ability to problem solve and provide creative ways to resolve issues. +Ability to communicate effectively, foster high standards, and deliver results in a fast-paced, performance focussed environment. +Ability to work under pressure, manage multiple priorities and respond to requests in a timely manner. +Ability to establish and maintain effective working relationships with a variety of internal and external contacts and team members to provide advice, information, and mentoring. +Ability to demonstrate an organized and local approach to finding solutions to complex situations or problems. + + +Business Unit/Department: Engineering Services (1300) + +Affiliation: CUPE 15 Non Pks + +Employment Type: Temporary Full Time + +Position Start Date: September, 2024 + +Position End Date: July, 2026 + +Salary Information: Pay Grade GR-024: $42.04 to $49.65 per hour + +Application Close: August 9, 2024 + +At the City of Vancouver, we are committed to recruiting a diverse workforce that represents the community we so proudly serve. Indigenous peoples, people of colour, 2SLGBTQ+ persons including all genders and persons with disabilities are encouraged to apply. Accommodations will be provided upon request during the selection process. Learn more about our commitment to diversity and inclusion. + +Before you click Apply now + +Once you start your application you can save your work and leave the applications page, however please remember to submit your profile to the specific job requisition before the posting closing date. + +In addition to uploading your cover letter and resume, part of the application process may include answering application questions related to the preferred requirements of the role which may take approx. 5-10 minutes. Cover letters should express interest and highlight additional information relevant to the position and resumes should include a summary of skills and experience related to the position. +Show more ","
+ + + + + +
+
+ Requisition ID: 41849

Organization

Located on the traditional, ancestral and unceded lands of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Peoples, Vancouver has a commitment to becoming a City of Reconciliation. Vancouver consistently ranks as one of the world’s most liveable cities and is working towards being the greenest city in the world. Named among Canada's Top 100 Employers, BC's Top Employers, and Canada's Greenest Employers, the City of Vancouver seeks colleagues who can help shape and embody our core commitments to sustainability, reconciliation, equity and outstanding quality of life for all residents.

Consider joining our committed team of staff and being part of an innovative, inclusive and rewarding workplace.

Main Purpose & Function

This position is responsible for providing technical oversight of Street Operations data collection for street and sidewalk infrastructure maintenance and repair programs and ensuring that data is maintained in accordance with best practices. This position performs highly complex data analysis using large data sets and produces visualization, reports and summaries related to expenditures, schedules and accomplishments, using modern business intelligence (BI) tools.

The Data Specialist supports asset maintenance and repair programs for streets, sidewalks, and structures in accordance with best practices including: analysis of large data sets related to pavement, sidewalks and structures, analysis of capital, operating, repair and maintenance costs for various asset types, and review of asset management data sets to inform maintenance and repair programs.

The position reports to the Superintendent I – Cuts, Utilities & Operations Administration, and works collaboratively with senior leadership to support decision making for the branch. This position also liaises with Streets Design, Finance, Risk Management and other Engineering branches.

Specific Duties & Responsibilities

  • Manages the ongoing operation and maintenance of data and related data infrastructure to meet the data analytics and reporting needs of the Streets Operations Branch.
  • Leads, consults, and participates in business process and technology reviews of all Street Operations functions recommending solutions and alternatives related to the accessibility, interaction, and presentation of data.
  • Leads the development of Business Intelligence (BI) Reporting platform for Street Operations.
  • Designs and implements sustainable and repeatable data management approaches involving cloud, on-premise, and big data datasets and technologies.
  • Develops and maintains large data sets pertaining to spending, cut repairs, work accomplishments, 311 citizen complaints, equipment, etc. from multiple City of Vancouver sources including but not limited to SAP, Hansen and SEAM.
  • Designs and develops reports, visualizations, and dashboards for tracking KPIs, metrics and service levels using advanced Excel, GIS Software, and modern BI tools for presentation at the branch, divisional, and department level, as well as to external stakeholders.
  • Recommends solutions and alternatives related to the accessibility, interaction, and presentation of data.
  • Identifies implications and makes recommendations for changes in data processes and procedures that may affect operational areas.
  • Collects and analyzes data to complete current state analyses and to optimize solutions.
  • Processes data sets for quality assurance and following up for corrective action where required.
  • Builds financial models that accurately project the annual cost recovery rates required to balance expenses such as equipment and fleet.
  • Collaborates with broad, multi-functional project teams to maintain clarity of objectives and alignment on implementation plans.
  • Manage data requests from internal and external stakeholders including other Engineering Services branches, 311, Risk Management, Freedom of Information, and Legal Services.
  • Teaches, mentors and supports administrative staff in the application of best practice approaches to data input and administration to ensure data accuracy and integrity.
  • Directs and reviews the data collection work of manual data collection efforts.
  • Other duties/responsibilities as assigned.

Qualifications

Education and Experience:

  • Completion of a post-secondary degree from a recognized post-secondary institution in Business Administration, Business Analytics or related field of study plus considerable experience in data analysis, business process and/or performance improvement in a public sector or large multi stakeholder organization or an equivalent combination of education, training and experience.

Knowledge, Skills And Abilities

  • Strong knowledge of Microsoft Power BI, Dataflows, Power BI Service and paginated reports.
  • Sound knowledge of structured operational business processes.
  • Working knowledge of could and on-premise warehouses and query systems.
  • Advanced in the use of Microsoft Excel and office suite with excellent keyboarding skills
  • Analytical skills, accuracy and attention to detail with a strong sense of accountability.
  • Skilled in the use of data systems and statistical data collection.
  • Excellent business writing skills.
  • Ability to analyze and synthesize data from multiple data sources and formats.
  • Ability to work with query languages (SQL, MDX, etc.)
  • Ability to design and build data warehouses and data marts.
  • Ability to problem solve and provide creative ways to resolve issues.
  • Ability to communicate effectively, foster high standards, and deliver results in a fast-paced, performance focussed environment.
  • Ability to work under pressure, manage multiple priorities and respond to requests in a timely manner.
  • Ability to establish and maintain effective working relationships with a variety of internal and external contacts and team members to provide advice, information, and mentoring.
  • Ability to demonstrate an organized and local approach to finding solutions to complex situations or problems.

Business Unit/Department: Engineering Services (1300)

Affiliation: CUPE 15 Non Pks

Employment Type: Temporary Full Time

Position Start Date: September, 2024

Position End Date: July, 2026

Salary Information: Pay Grade GR-024: $42.04 to $49.65 per hour

Application Close: August 9, 2024

At the City of Vancouver, we are committed to recruiting a diverse workforce that represents the community we so proudly serve. Indigenous peoples, people of colour, 2SLGBTQ+ persons including all genders and persons with disabilities are encouraged to apply. Accommodations will be provided upon request during the selection process. Learn more about our commitment to diversity and inclusion.

Before you click Apply now

Once you start your application you can save your work and leave the applications page, however please remember to submit your profile to the specific job requisition before the posting closing date.

In addition to uploading your cover letter and resume, part of the application process may include answering application questions related to the preferred requirements of the role which may take approx. 5-10 minutes. Cover letters should express interest and highlight additional information relevant to the position and resumes should include a summary of skills and experience related to the position. +
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",2024-08-02,[] +3990711158,https://ca.linkedin.com/jobs/view/entry-level-data-analyst-rebel-apparel-at-bcjobs-3990711158?position=7&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=ZiA1Z7o%2B8vQPk0OzfcA1mQ%3D%3D&trk=public_jobs_jserp-result_search-card,Entry-Level Data Analyst (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","Job Description + +We are seeking a motivated Entry-Level Data Analyst to join our dynamic team. This role is an excellent opportunity for recent graduates or individuals with foundational experience in data analysis to grow their career in a supportive environment. + +Key Responsibilities + + +Collect, clean, and analyze data to generate actionable insights. +Prepare reports and presentations of findings, clearly communicating complex data to stakeholders. +Assist in identifying trends and patterns in datasets. +Collaborate with cross-functional teams to understand data needs and deliver solutions. +Contribute to the development and improvement of data collection and analysis processes. +Stay updated with industry trends and best practices in data analysis. + + +Requirements + + +Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. +Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. +Proficiency in data analysis tools such as Excel, SQL, Python, or R (experience with statistical software is a plus). +Ability to work effectively in a team environment and independently when needed. +Excellent communication and presentation skills. +Canadian citizenship, permanent residency, or a valid work permit. + + +Benefits + + +Competitive salary and benefits package. +Opportunities for career growth and professional development. +Collaborative and inclusive work culture. + + +How to Apply: Please submit your resume + +Value +Show more ","
+ + + + + +
+
+ Job Description

We are seeking a motivated Entry-Level Data Analyst to join our dynamic team. This role is an excellent opportunity for recent graduates or individuals with foundational experience in data analysis to grow their career in a supportive environment.

Key Responsibilities

  • Collect, clean, and analyze data to generate actionable insights.
  • Prepare reports and presentations of findings, clearly communicating complex data to stakeholders.
  • Assist in identifying trends and patterns in datasets.
  • Collaborate with cross-functional teams to understand data needs and deliver solutions.
  • Contribute to the development and improvement of data collection and analysis processes.
  • Stay updated with industry trends and best practices in data analysis.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficiency in data analysis tools such as Excel, SQL, Python, or R (experience with statistical software is a plus).
  • Ability to work effectively in a team environment and independently when needed.
  • Excellent communication and presentation skills.
  • Canadian citizenship, permanent residency, or a valid work permit.

Benefits

  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • Collaborative and inclusive work culture.

How to Apply: Please submit your resume

Value +
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+ +
",2024-08-04,[] +3990712549,https://ca.linkedin.com/jobs/view/entry-level-data-analyst-rebel-apparel-at-bcjobs-3990712549?position=8&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=ySVRXeo0kuY%2FkrjYot1vXw%3D%3D&trk=public_jobs_jserp-result_search-card,Entry Level Data Analyst (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","Entry Level Data Analyst - Canada + +Job Summary + +We are seeking a motivated and detail-oriented Entry Level Data Analyst to join our team in Canada. The ideal candidate will be responsible for analyzing data sets to help drive business decisions, identifying trends, and presenting findings in a clear and actionable manner. This is an excellent opportunity for recent graduates or individuals with a strong interest in data analysis who are eager to start their career in a dynamic and supportive environment. + +Key Responsibilities + + +Collect, clean, and preprocess data from various sources. +Perform exploratory data analysis to identify trends, patterns, and anomalies. +Utilize statistical methods and tools to analyze data and generate insights. +Create and maintain dashboards, reports, and visualizations using tools like Excel, Tableau, or Power BI. +Assist in developing and implementing data-driven strategies to support business objectives. +Collaborate with team members to understand data needs and provide actionable recommendations. +Document analysis processes and results for transparency and future reference. + + +Qualifications + + +Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. +Familiarity with data analysis tools and techniques, such as Excel, SQL, or Python/R. +Strong analytical skills with attention to detail and accuracy. +Ability to interpret and present data in a clear and meaningful way. +Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus. +Excellent communication and teamwork skills. +Eagerness to learn and grow in the field of data analysis. + + +Preferred Skills + + +Experience with data cleaning and transformation. +Understanding of basic statistical concepts and methods. +Exposure to machine learning algorithms and data modeling is an advantage. + + +Value +Show more ","
+ + + + + +
+
+ Entry Level Data Analyst - Canada

Job Summary

We are seeking a motivated and detail-oriented Entry Level Data Analyst to join our team in Canada. The ideal candidate will be responsible for analyzing data sets to help drive business decisions, identifying trends, and presenting findings in a clear and actionable manner. This is an excellent opportunity for recent graduates or individuals with a strong interest in data analysis who are eager to start their career in a dynamic and supportive environment.

Key Responsibilities

  • Collect, clean, and preprocess data from various sources.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Utilize statistical methods and tools to analyze data and generate insights.
  • Create and maintain dashboards, reports, and visualizations using tools like Excel, Tableau, or Power BI.
  • Assist in developing and implementing data-driven strategies to support business objectives.
  • Collaborate with team members to understand data needs and provide actionable recommendations.
  • Document analysis processes and results for transparency and future reference.

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Familiarity with data analysis tools and techniques, such as Excel, SQL, or Python/R.
  • Strong analytical skills with attention to detail and accuracy.
  • Ability to interpret and present data in a clear and meaningful way.
  • Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication and teamwork skills.
  • Eagerness to learn and grow in the field of data analysis.

Preferred Skills

  • Experience with data cleaning and transformation.
  • Understanding of basic statistical concepts and methods.
  • Exposure to machine learning algorithms and data modeling is an advantage.

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3987647882,https://ca.linkedin.com/jobs/view/data-analyst-x2-at-randstad-canada-3987647882?position=9&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=Dp0Os6AkSsJWgWml9b6k3Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst x2,Randstad Canada,"Vancouver, British Columbia, Canada","Are you an experienced Data Analyst in search of your next contract opportunity? Our high-profile client is seeking to hire a 2 Data Analysts to join their talented team on a 6-month contract with a strong probability of extension. Apply for this amazing opportunity if this sounds like a good fit for you! + +Advantages + +What’s in it for you! + +As a consultant with our client, you’ll receive: + + +Highly competitive market hourly rates +A 6 month contract with a strong probability of extension +Remote interview process + + +Responsibilities + +As a Data Analyst, you will collect, analyze, and interpret complex data sets to drive business value and value realization. The ideal candidate will have extensive experience consolidating complex data sets and building dashboard and scorecards to visualize portfolio status and performance. + +Responsibilities: + + +Gather and consolidate data from various sources, including databases, spreadsheets and external systems +Ensure data integrity and accuracy through regular validation and cleansing processes +Maintain and update data documentation, including data dictionaries and metadata. +Perform statistic analysis and data mining to identify trends, patterns, and anomalies +Create and interpret data visualizations, reports, and dashboards to present findings +Prepare detailed reports and presentations summarizing data insights and recommendation +Provide actionable insights to improve business processes, performance, and strategies. +Work closely with cross-functional teams to understand their data needs and requirements +Communicate complex data concepts in a clear and concise manner to non-technical stakeholders +Identify opportunities for process improvement and recommend enhancements to data workflows and tools + + +Qualifications + + +Bachelors’ degree in Business Administration, Data Science, Statistics, computer Science or related fields. A master’s degree or PMP/PMI certification is a plus. + + +Experience: + + +5+ years of experience as a Data Analyst, with a proven track record in an analytical role. +Minimum 2+ years of experience working technology or related field +3+ years of excel (including VBA, pivot tables, array functions, power pivots) +Experience with data visualization tools (e.g. Tableau, PowerBI, Looker) +Proficiency in data analysis tools and language (e.g., SQL, Python, R) preferred. + + +Summary + +If you are a Data Analyst and the prospect of joining a dedicated team intrigues you, then this role with our high-profile client could be the perfect opportunity for you. + +Apply below or reach out to your Randstad representative for more information. + +Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community. + +Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process. + + +Show more ","
+ + + + + +
+
+ Are you an experienced Data Analyst in search of your next contract opportunity? Our high-profile client is seeking to hire a 2 Data Analysts to join their talented team on a 6-month contract with a strong probability of extension. Apply for this amazing opportunity if this sounds like a good fit for you!

Advantages

What’s in it for you!

As a consultant with our client, you’ll receive:

  • Highly competitive market hourly rates
  • A 6 month contract with a strong probability of extension
  • Remote interview process

Responsibilities

As a Data Analyst, you will collect, analyze, and interpret complex data sets to drive business value and value realization. The ideal candidate will have extensive experience consolidating complex data sets and building dashboard and scorecards to visualize portfolio status and performance.

Responsibilities:

  • Gather and consolidate data from various sources, including databases, spreadsheets and external systems
  • Ensure data integrity and accuracy through regular validation and cleansing processes
  • Maintain and update data documentation, including data dictionaries and metadata.
  • Perform statistic analysis and data mining to identify trends, patterns, and anomalies
  • Create and interpret data visualizations, reports, and dashboards to present findings
  • Prepare detailed reports and presentations summarizing data insights and recommendation
  • Provide actionable insights to improve business processes, performance, and strategies.
  • Work closely with cross-functional teams to understand their data needs and requirements
  • Communicate complex data concepts in a clear and concise manner to non-technical stakeholders
  • Identify opportunities for process improvement and recommend enhancements to data workflows and tools

Qualifications

  • Bachelors’ degree in Business Administration, Data Science, Statistics, computer Science or related fields. A master’s degree or PMP/PMI certification is a plus.

Experience:

  • 5+ years of experience as a Data Analyst, with a proven track record in an analytical role.
  • Minimum 2+ years of experience working technology or related field
  • 3+ years of excel (including VBA, pivot tables, array functions, power pivots)
  • Experience with data visualization tools (e.g. Tableau, PowerBI, Looker)
  • Proficiency in data analysis tools and language (e.g., SQL, Python, R) preferred.

Summary

If you are a Data Analyst and the prospect of joining a dedicated team intrigues you, then this role with our high-profile client could be the perfect opportunity for you.

Apply below or reach out to your Randstad representative for more information.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

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",2024-07-31,[] +3988210913,https://ca.linkedin.com/jobs/view/data-analyst-at-fraser-health-authority-3988210913?position=10&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=22cn7cjTOw4rWVF9Lqq9fQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Fraser Health Authority,"Surrey, British Columbia, Canada","Salary range + +The salary range for this position is CAD $38.12 - $54.80 / hour + +Come work with us! + +Fraser Health is responsible for the delivery of hospital and community-based health services from Burnaby to Fraser Canyon on the traditional, ancestral and unceded territories of the Coast Salish and Nlaka’pamux Nations,and is home to six Métis Chartered Communities. + +Our team of nearly 45,000 staff, medical staff and volunteers is dedicated to serving our patients, families and communities to deliver on our vision: Better health, best in health care. Learn more. + +We are currently looking to fill a Full Time opportunity for a Data Analyst at Central City Tower located in Surrey, BC. + +Come work with us! + +Joining the Fraser Health team offers you opportunities to work in a rapidly growing organization with health professionals who are excellent in their respective fields, career growth and advancement, a competitive compensation package (including four weeks of vacation to start, comprehensive health benefits, and pension plan), and the rewarding opportunity to make a difference every single day in health care. + +Fraser Health values diversity in the work force and strives to maintain an environment of Respect, Caring and Trust. Fraser Health’s hiring practices aspire to ensure all individuals are treated in an inclusive, equitable, and culturally safe manner. + +Connect with us! + +Connect with us on our Careers social channels where you’ll learn about exciting opportunities, get career tips from our recruiters, and meet some of your future team members! You can also visit us on Indeed and Glassdoor. + +Instagram | Facebook | LinkedIn | X + +Detailed Overview + +Supporting the Vision, Values, Purpose and Commitments of Fraser Health including service delivery that is centered around patients/clients/residents and families: + +The Data Analyst will be responsible for providing data management and analytical support for population and public health surveillance and health assessment functions of the Population Health Observatory. The Data Analyst is a key member of the Population Health Observatory. This Unit directly supports the work of Population and Public Health and other Fraser Health program areas. The Analyst has health authority-wide responsibilities in the area of data collection and synthesis, analysis, interpretation, knowledge translation, and dissemination. + +Responsibilities + + +Assists in the creation, synthesis, and dissemination of population health information to Fraser Health stakeholders for planning and decision-making. Contributes to publications informing population health issues for use by Medical Health Officers and Senior Leadership, Managers, and healthcare providers as well as for use by external partners and for public information. +Performs qualitative and quantitative data analysis using descriptive and statistical methodologies, including use of statistical software (e.g. R, SAS). +Uses GIS software to create, organize and maintain geographic maps; uses cartography, geoprocessing, geocoding, vector and raster mapping, spatial joining, spatial editing, and Python and VBScript coding to conduct geospatial data analysis and create GIS maps; maintains appropriate metadata and documentation to describe maps, spatial analyses and processes and shapefiles; uses GIS maps, geospatial analysis, and spatial epidemiology of disease and its risk factors to assist in public health planning and evaluation, disease surveillance, outbreak investigations, and emergency preparedness. +Supports data collection, analyzes data, interprets results, and prepares regular surveillance reports related but not limited to communicable diseases, chronic conditions, and other adverse health outcomes in populations. +Provides technical advice to the communicable disease nurses, coordinators, and other members of the Public Health and Health Protection teams on data collection, cleaning and analysis to ensure consistency and validity of data. +Participates in the identification and resolution of data quality issues, including identifying and reporting data quality issues, analyzing issues, recommending improvements and implementing new/revised processes. Promotes the use of best practices in data management and data quality. +Performs data management and preparation activities, including data extraction, data cleaning and documentation; develops and maintains data collection and storage systems such as databases and spreadsheets, including designing ad hoc reports; automates routine data management tasks using standard programming tools including structured query language (SQL); partners with relevant stakeholders to ensure reporting needs are met for assigned databases. +Identifies and collates population health data from local, regional, and provincial sources. +Works collaboratively with relevant program areas to develop project specific tools and support monitoring and evaluation activities. +Responds to requests for information by performing duties such as extracting, linking, manipulating, analyzing, and summarizing data at the request of internal and external partners. Prepares appropriate communications to stakeholders including reports, oral presentations, written communications suitable for a variety of audiences, and online communication formats. +Fosters and maintains positive, collaborative, and effective interdisciplinary working relationships with Fraser Health internal partners, other health authorities, and provincial partners. +Prepares and maintains supporting documentation such as user guides, data collection procedure manuals, data security policies, and data dictionaries. +Supports system development, enhancement, and maintenance by performing duties such as evaluating existing and emerging data systems and recommend strategies to deliver analytics in an accurate, timely and user-friendly manner. +Maintains current knowledge and technical skills necessary to work effectively as a Data Analyst. +Performs other related duties as assigned. + + +Qualifications + +Education and Experience + +Master's degree in Epidemiology, Public Health, Biostatistics, Health Informatics, Health Sciences or other related discipline, plus three (3) years of recent, related technical experience in data management, linkage, analysis, interpretation, and reporting, or an equivalent combination of education, training, and experience. + +Competencies + +Demonstrates the leadership practices of the Fraser Health Leadership Framework of Clear, Caring and Courageous and creates the conditions for people to succeed. + +Professional/Technical Capabilities: + + +Understanding of basic epidemiology and public health surveillance systems. +Knowledge of health data sources and data quality issues. +Demonstrated analytical and statistical skills including ability to find, collect, analyze, and interpret data, use basic statistical concepts, and prepare written reports. +Ability to work in a multidisciplinary, dynamic environment as part of a collaborative and high-functioning team. Foster effective working relationships that promote cooperative goal achievement and contribute to an atmosphere of trust and mutual respect. +Ability to work collaboratively with colleagues to share and develop resources, knowledge and skills in order to improve the efficiency and effectiveness of assessment and surveillance functions. +Demonstrated knowledge of statistical, data management, and data visualization software systems (GIS, R, SAS, SQL, Tableau, Power BI). +Physical ability to perform the duties of the position. +Show more ","
+ + + + + +
+
+ Salary range

The salary range for this position is CAD $38.12 - $54.80 / hour

Come work with us!

Fraser Health is responsible for the delivery of hospital and community-based health services from Burnaby to Fraser Canyon on the traditional, ancestral and unceded territories of the Coast Salish and Nlaka’pamux Nations,and is home to six Métis Chartered Communities.

Our team of nearly 45,000 staff, medical staff and volunteers is dedicated to serving our patients, families and communities to deliver on our vision: Better health, best in health care. Learn more.

We are currently looking to fill a Full Time opportunity for a Data Analyst at Central City Tower located in Surrey, BC.

Come work with us!

Joining the Fraser Health team offers you opportunities to work in a rapidly growing organization with health professionals who are excellent in their respective fields, career growth and advancement, a competitive compensation package (including four weeks of vacation to start, comprehensive health benefits, and pension plan), and the rewarding opportunity to make a difference every single day in health care.

Fraser Health values diversity in the work force and strives to maintain an environment of Respect, Caring and Trust. Fraser Health’s hiring practices aspire to ensure all individuals are treated in an inclusive, equitable, and culturally safe manner.

Connect with us!

Connect with us on our Careers social channels where you’ll learn about exciting opportunities, get career tips from our recruiters, and meet some of your future team members! You can also visit us on Indeed and Glassdoor.

Instagram | Facebook | LinkedIn | X

Detailed Overview

Supporting the Vision, Values, Purpose and Commitments of Fraser Health including service delivery that is centered around patients/clients/residents and families:

The Data Analyst will be responsible for providing data management and analytical support for population and public health surveillance and health assessment functions of the Population Health Observatory. The Data Analyst is a key member of the Population Health Observatory. This Unit directly supports the work of Population and Public Health and other Fraser Health program areas. The Analyst has health authority-wide responsibilities in the area of data collection and synthesis, analysis, interpretation, knowledge translation, and dissemination.

Responsibilities

  • Assists in the creation, synthesis, and dissemination of population health information to Fraser Health stakeholders for planning and decision-making. Contributes to publications informing population health issues for use by Medical Health Officers and Senior Leadership, Managers, and healthcare providers as well as for use by external partners and for public information.
  • Performs qualitative and quantitative data analysis using descriptive and statistical methodologies, including use of statistical software (e.g. R, SAS).
  • Uses GIS software to create, organize and maintain geographic maps; uses cartography, geoprocessing, geocoding, vector and raster mapping, spatial joining, spatial editing, and Python and VBScript coding to conduct geospatial data analysis and create GIS maps; maintains appropriate metadata and documentation to describe maps, spatial analyses and processes and shapefiles; uses GIS maps, geospatial analysis, and spatial epidemiology of disease and its risk factors to assist in public health planning and evaluation, disease surveillance, outbreak investigations, and emergency preparedness.
  • Supports data collection, analyzes data, interprets results, and prepares regular surveillance reports related but not limited to communicable diseases, chronic conditions, and other adverse health outcomes in populations.
  • Provides technical advice to the communicable disease nurses, coordinators, and other members of the Public Health and Health Protection teams on data collection, cleaning and analysis to ensure consistency and validity of data.
  • Participates in the identification and resolution of data quality issues, including identifying and reporting data quality issues, analyzing issues, recommending improvements and implementing new/revised processes. Promotes the use of best practices in data management and data quality.
  • Performs data management and preparation activities, including data extraction, data cleaning and documentation; develops and maintains data collection and storage systems such as databases and spreadsheets, including designing ad hoc reports; automates routine data management tasks using standard programming tools including structured query language (SQL); partners with relevant stakeholders to ensure reporting needs are met for assigned databases.
  • Identifies and collates population health data from local, regional, and provincial sources.
  • Works collaboratively with relevant program areas to develop project specific tools and support monitoring and evaluation activities.
  • Responds to requests for information by performing duties such as extracting, linking, manipulating, analyzing, and summarizing data at the request of internal and external partners. Prepares appropriate communications to stakeholders including reports, oral presentations, written communications suitable for a variety of audiences, and online communication formats.
  • Fosters and maintains positive, collaborative, and effective interdisciplinary working relationships with Fraser Health internal partners, other health authorities, and provincial partners.
  • Prepares and maintains supporting documentation such as user guides, data collection procedure manuals, data security policies, and data dictionaries.
  • Supports system development, enhancement, and maintenance by performing duties such as evaluating existing and emerging data systems and recommend strategies to deliver analytics in an accurate, timely and user-friendly manner.
  • Maintains current knowledge and technical skills necessary to work effectively as a Data Analyst.
  • Performs other related duties as assigned.

Qualifications

Education and Experience

Master's degree in Epidemiology, Public Health, Biostatistics, Health Informatics, Health Sciences or other related discipline, plus three (3) years of recent, related technical experience in data management, linkage, analysis, interpretation, and reporting, or an equivalent combination of education, training, and experience.

Competencies

Demonstrates the leadership practices of the Fraser Health Leadership Framework of Clear, Caring and Courageous and creates the conditions for people to succeed.

Professional/Technical Capabilities:

  • Understanding of basic epidemiology and public health surveillance systems.
  • Knowledge of health data sources and data quality issues.
  • Demonstrated analytical and statistical skills including ability to find, collect, analyze, and interpret data, use basic statistical concepts, and prepare written reports.
  • Ability to work in a multidisciplinary, dynamic environment as part of a collaborative and high-functioning team. Foster effective working relationships that promote cooperative goal achievement and contribute to an atmosphere of trust and mutual respect.
  • Ability to work collaboratively with colleagues to share and develop resources, knowledge and skills in order to improve the efficiency and effectiveness of assessment and surveillance functions.
  • Demonstrated knowledge of statistical, data management, and data visualization software systems (GIS, R, SAS, SQL, Tableau, Power BI).
  • Physical ability to perform the duties of the position.
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+ +
",2024-07-31,[] +3991267732,https://ca.linkedin.com/jobs/view/data-analyst-rebel-apparel-at-bcjobs-3991267732?position=11&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=q6DS05ylhYjl%2BNXVFr68cA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","Data Analyst Responsibilities + + +Managing master data, including creation, updates, and deletion. +Managing users and user roles. +Provide quality assurance of imported data, working with quality assurance analysts if necessary. +Commissioning and decommissioning of data sets. +Processing confidential data and information according to guidelines. +Helping develop reports and analyses. +Managing and designing the reporting environment, including data sources, security, and metadata. +Supporting the data warehouse in identifying and revising reporting requirements. +Supporting initiatives for data integrity and normalization. +Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. +Generating reports from single or multiple systems. +Troubleshooting the reporting database environment and reports. +Evaluating changes and updates to source production systems. +Training end-users on new reports and dashboards. +Providing technical expertise in data storage structures, data mining, and data cleansing. + + +Data Analyst Requirements: + + +Bachelor’s degree from an accredited university or college in computer science. +Work experience as a data analyst or in a related field. +Ability to work with stakeholders to assess potential risks. +Ability to analyze existing tools and databases and provide software solution recommendations. +Ability to translate business requirements into nontechnical, lay terms. +High-level experience in methodologies and processes for managing large-scale databases. +Demonstrated experience in handling large data sets and relational databases. +Understanding of addressing and metadata standards. +High-level written and verbal communication skills. + + +Value +Show more ","
+ + + + + +
+
+ Data Analyst Responsibilities

  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles.
  • Provide quality assurance of imported data, working with quality assurance analysts if necessary.
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analyses.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end-users on new reports and dashboards.
  • Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Requirements:

  • Bachelor’s degree from an accredited university or college in computer science.
  • Work experience as a data analyst or in a related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into nontechnical, lay terms.
  • High-level experience in methodologies and processes for managing large-scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3983407893,https://ca.linkedin.com/jobs/view/senior-data-analyst-at-glu-mobile-3983407893?position=15&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=S60ycQju5z1QBEXOkz3Mgg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst,Glu Mobile,"Vancouver, British Columbia, Canada","Covet Fashion is seeking an inquisitive and experienced Data Analyst to join our Product Management team. Reporting to the Director of Product, you will work with partners to understand player engagement, session behaviors, game usage and spending habits, and to identify product growth opportunities. You will use your skills to provide data-driven solutions to complex problems, translate qualitative/quantitative data into insights, and create recommendations to steer the product development and live operational roadmaps. + +Responsibilities + + +Collaborate with product, design, and engineering to deliver insights into user behavior and to guide product decisions. +Help design, implement and report on A/B tests aimed at enhancing the user experience, utilizing statistical methods to draw meaningful conclusions. +Analyze player segments and behavior to support tailored content strategies. +Perform advanced statistical analyses to identify trends, patterns, and provide actionable insights. +Develop dashboards and self-serve tools to communicate findings and performance metrics to our partners and encourage the use of data in product decisions. +Communicate results and findings throughout the organization to all levels of leadership. + + +Requirements + + +A bachelor's degree in Business, Statistics, Mathematics, Economics, Data Science, Analytics, or a related field. +4+ years of experience in an analytics role performing quantitative analysis with big data to help guide decisions. +Experience in SQL and ability to extract data from large data sources with differing structures. +Experience with data visualization software (e.g. Tableau, PowerBI, Looker). +Passion for mobile lifestyle gaming is a plus. + + +If you are passionate about mobile gaming and possess the skills and expertise to drive the success of Covet Fashion at Electronic Arts, we encourage you to apply for this exciting opportunity. + +Ceci ne s'applique pas au Québec. + +Compensation And Benefits + +The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the range and benefits for your specific location. + +EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Pay offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs. + +BASE SALARY RANGES + + +California (depending on location e.g. Los Angeles vs. Sacramento): + + +º $122,300 - $170,600 USD Annually + + +New York (depending on location e.g. Manhattan vs. Buffalo): + + +º $104,000 - $170,600 USD Annually + + +Jersey City, NJ : + + +º $137,300 - $170,600 USD Annually + + +Colorado (depending on location e.g. Denver vs. Colorado Springs): + + +º $111,800 - $151,800 USD Annually + + +Washington (depending on location e.g. Seattle vs. Spokane): + + +º $104,000 - $174,700 USD Annually + + +British Columbia (depending on location e.g. Vancouver vs. Victoria): + + +º $89,300 - $123,000 CAN Annually + +Base salary is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. +Show more ","
+ + + + + +
+
+ Covet Fashion is seeking an inquisitive and experienced Data Analyst to join our Product Management team. Reporting to the Director of Product, you will work with partners to understand player engagement, session behaviors, game usage and spending habits, and to identify product growth opportunities. You will use your skills to provide data-driven solutions to complex problems, translate qualitative/quantitative data into insights, and create recommendations to steer the product development and live operational roadmaps.

Responsibilities

  • Collaborate with product, design, and engineering to deliver insights into user behavior and to guide product decisions.
  • Help design, implement and report on A/B tests aimed at enhancing the user experience, utilizing statistical methods to draw meaningful conclusions.
  • Analyze player segments and behavior to support tailored content strategies.
  • Perform advanced statistical analyses to identify trends, patterns, and provide actionable insights.
  • Develop dashboards and self-serve tools to communicate findings and performance metrics to our partners and encourage the use of data in product decisions.
  • Communicate results and findings throughout the organization to all levels of leadership.

Requirements

  • A bachelor's degree in Business, Statistics, Mathematics, Economics, Data Science, Analytics, or a related field.
  • 4+ years of experience in an analytics role performing quantitative analysis with big data to help guide decisions.
  • Experience in SQL and ability to extract data from large data sources with differing structures.
  • Experience with data visualization software (e.g. Tableau, PowerBI, Looker).
  • Passion for mobile lifestyle gaming is a plus.

If you are passionate about mobile gaming and possess the skills and expertise to drive the success of Covet Fashion at Electronic Arts, we encourage you to apply for this exciting opportunity.

Ceci ne s'applique pas au Québec.

Compensation And Benefits

The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the range and benefits for your specific location.

EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Pay offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs.

BASE SALARY RANGES

  • California (depending on location e.g. Los Angeles vs. Sacramento):

º $122,300 - $170,600 USD Annually

  • New York (depending on location e.g. Manhattan vs. Buffalo):

º $104,000 - $170,600 USD Annually

  • Jersey City, NJ :

º $137,300 - $170,600 USD Annually

  • Colorado (depending on location e.g. Denver vs. Colorado Springs):

º $111,800 - $151,800 USD Annually

  • Washington (depending on location e.g. Seattle vs. Spokane):

º $104,000 - $174,700 USD Annually

  • British Columbia (depending on location e.g. Vancouver vs. Victoria):

º $89,300 - $123,000 CAN Annually

Base salary is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3981491855,https://ca.linkedin.com/jobs/view/entry-level-data-analyst-rebel-apparel-at-bcjobs-3981491855?position=16&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=nYVnHo%2FOpcFTanbNy6E4zg%3D%3D&trk=public_jobs_jserp-result_search-card,Entry-Level Data Analyst (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","Key Responsibilities + + +Collect, clean, and analyze data to generate actionable insights. +Prepare reports and presentations of findings, clearly communicating complex data to stakeholders. +Assist in identifying trends and patterns in datasets. +Collaborate with cross-functional teams to understand data needs and deliver solutions. +Contribute to the development and improvement of data collection and analysis processes. +Stay updated with industry trends and best practices in data analysis. + + +Requirements + + +Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. +Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. +Proficiency in data analysis tools such as Excel, SQL, Python, or R (experience with statistical software is a plus). +Ability to work effectively in a team environment and independently when needed. +Excellent communication and presentation skills. +Canadian citizenship, permanent residency, or a valid work permit. + + +Benefits + + +Competitive salary and benefits package. +Opportunities for career growth and professional development. +Collaborative and inclusive work culture. + + +How to Apply: Please submit your resume + +Value +Show more ","
+ + + + + +
+
+ Key Responsibilities

  • Collect, clean, and analyze data to generate actionable insights.
  • Prepare reports and presentations of findings, clearly communicating complex data to stakeholders.
  • Assist in identifying trends and patterns in datasets.
  • Collaborate with cross-functional teams to understand data needs and deliver solutions.
  • Contribute to the development and improvement of data collection and analysis processes.
  • Stay updated with industry trends and best practices in data analysis.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficiency in data analysis tools such as Excel, SQL, Python, or R (experience with statistical software is a plus).
  • Ability to work effectively in a team environment and independently when needed.
  • Excellent communication and presentation skills.
  • Canadian citizenship, permanent residency, or a valid work permit.

Benefits

  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • Collaborative and inclusive work culture.

How to Apply: Please submit your resume

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3990707912,https://ca.linkedin.com/jobs/view/remote-data-analyst-rebel-apparel-at-bcjobs-3990707912?position=17&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=2eGhpIT6IxTaX%2Bu%2Blqe48g%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Data Analyst (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","Job Title: Remote Data Analyst + +Location: Remote + +Job Type: Full-Time/Part-Time/Contract + +Overview: We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, statistical methods, and data visualization. This role is responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. You will work closely with various teams to support data-driven decision-making processes. + +Key Responsibilities + + +Collect, clean, and preprocess data from multiple sources. +Perform exploratory data analysis and develop predictive models. +Create and maintain dashboards and reports to visualize trends and key metrics. +Collaborate with stakeholders to understand their data needs and deliver actionable insights. +Identify, analyze, and interpret patterns and trends in complex datasets. +Ensure data integrity and accuracy across all reports and analyses. + + +Qualifications + + +Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. +Proven experience as a Data Analyst or similar role. +Proficiency in data analysis tools such as Excel, SQL, Python, or R. +Experience with data visualization tools like Tableau, Power BI, or similar platforms. +Strong analytical skills and attention to detail. +Excellent communication skills, with the ability to present findings clearly and effectively. +Ability to work independently and manage multiple tasks efficiently. + + +Benefits + + +Competitive salary and performance bonuses. +Flexible working hours and remote work. +Professional development opportunities. +Health, dental, and vision insurance options. +Collaborative and inclusive work environment. + + +Application Process: To apply, please submit your resume and a cover letter outlining your relevant experience and skills. We look forward to reviewing your application! + +Value +Show more ","
+ + + + + +
+
+ Job Title: Remote Data Analyst

Location: Remote

Job Type: Full-Time/Part-Time/Contract

Overview: We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, statistical methods, and data visualization. This role is responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. You will work closely with various teams to support data-driven decision-making processes.

Key Responsibilities

  • Collect, clean, and preprocess data from multiple sources.
  • Perform exploratory data analysis and develop predictive models.
  • Create and maintain dashboards and reports to visualize trends and key metrics.
  • Collaborate with stakeholders to understand their data needs and deliver actionable insights.
  • Identify, analyze, and interpret patterns and trends in complex datasets.
  • Ensure data integrity and accuracy across all reports and analyses.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Proven experience as a Data Analyst or similar role.
  • Proficiency in data analysis tools such as Excel, SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar platforms.
  • Strong analytical skills and attention to detail.
  • Excellent communication skills, with the ability to present findings clearly and effectively.
  • Ability to work independently and manage multiple tasks efficiently.

Benefits

  • Competitive salary and performance bonuses.
  • Flexible working hours and remote work.
  • Professional development opportunities.
  • Health, dental, and vision insurance options.
  • Collaborative and inclusive work environment.

Application Process: To apply, please submit your resume and a cover letter outlining your relevant experience and skills. We look forward to reviewing your application!

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3982713278,https://ca.linkedin.com/jobs/view/remote-reporting-analyst-friecorp-at-bcjobs-3982713278?position=18&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=KdPASfaOqtdATMbnZRYCmg%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Reporting Analyst (Friecorp),BCJobs,"Vancouver, British Columbia, Canada","We are looking for a detail-oriented and analytical Reporting Analyst to join our team. The Reporting Analyst will be responsible for analyzing data and producing insightful reports to support decision-making across the organization. The ideal candidate will have strong analytical skills, proficiency in data visualization tools, and the ability to translate complex data into actionable insights. + +Responsibilities + +Develop and maintain reports and dashboards to track key performance indicators (KPIs) and provide actionable insights. + +Collect, analyze, and interpret data from multiple sources to identify trends and patterns. + +Collaborate with stakeholders to understand reporting requirements and ensure reports meet business needs. + +Design and implement data collection systems and strategies that optimize data quality and accessibility. + +Perform data validation and ensure data accuracy and integrity. + +Prepare and present findings and recommendations to stakeholders and senior management. + +Identify opportunities for process improvements and automate reporting processes where possible. + +Support ad-hoc data analysis requests from various departments. + +Stay updated on industry trends and best practices in reporting and data analysis. + +Develop and maintain documentation related to reporting processes and data analysis methodologies. + +Qualifications + +Bachelor’s degree in Business, Statistics, Mathematics, Economics, Computer Science, or related field. + +Proven experience as a Reporting Analyst or similar role. + +Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. + +Experience in data visualization and creating reports and dashboards. + +Knowledge of database design and data modeling. + +Excellent communication skills, with the ability to present complex data in a clear and concise manner. + +Ability to work independently and collaboratively in a fast-paced environment. + +Strong problem-solving and critical-thinking skills. + +Value +Show more ","
+ + + + + +
+
+ We are looking for a detail-oriented and analytical Reporting Analyst to join our team. The Reporting Analyst will be responsible for analyzing data and producing insightful reports to support decision-making across the organization. The ideal candidate will have strong analytical skills, proficiency in data visualization tools, and the ability to translate complex data into actionable insights.

Responsibilities

Develop and maintain reports and dashboards to track key performance indicators (KPIs) and provide actionable insights.

Collect, analyze, and interpret data from multiple sources to identify trends and patterns.

Collaborate with stakeholders to understand reporting requirements and ensure reports meet business needs.

Design and implement data collection systems and strategies that optimize data quality and accessibility.

Perform data validation and ensure data accuracy and integrity.

Prepare and present findings and recommendations to stakeholders and senior management.

Identify opportunities for process improvements and automate reporting processes where possible.

Support ad-hoc data analysis requests from various departments.

Stay updated on industry trends and best practices in reporting and data analysis.

Develop and maintain documentation related to reporting processes and data analysis methodologies.

Qualifications

Bachelor’s degree in Business, Statistics, Mathematics, Economics, Computer Science, or related field.

Proven experience as a Reporting Analyst or similar role.

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Experience in data visualization and creating reports and dashboards.

Knowledge of database design and data modeling.

Excellent communication skills, with the ability to present complex data in a clear and concise manner.

Ability to work independently and collaboratively in a fast-paced environment.

Strong problem-solving and critical-thinking skills.

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3991268829,https://ca.linkedin.com/jobs/view/data-analyst-remotely-rebel-apparel-at-bcjobs-3991268829?position=20&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=Fmjd50tPG4egLcQOt%2BtF%2Bg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Remotely) (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. + +Data Analyst Responsibilities + + +Managing master data, including creation, updates, and deletion. +Managing users and user roles. +Provide quality assurance of imported data, working with quality assurance analysts if necessary. +Commissioning and decommissioning of data sets. +Processing confidential data and information according to guidelines. +Helping develop reports and analyses. +Managing and designing the reporting environment, including data sources, security, and metadata. +Supporting the data warehouse in identifying and revising reporting requirements. +Supporting initiatives for data integrity and normalization. +Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. +Generating reports from single or multiple systems. +Troubleshooting the reporting database environment and reports. +Evaluating changes and updates to source production systems. +Training end-users on new reports and dashboards. +Providing technical expertise in data storage structures, data mining, and data cleansing. + + +Data Analyst Requirements: + + +Bachelor’s degree from an accredited university or college in computer science. +Work experience as a data analyst or in a related field. +Ability to work with stakeholders to assess potential risks. +Ability to analyze existing tools and databases and provide software solution recommendations. +Ability to translate business requirements into nontechnical, lay terms. +High-level experience in methodologies and processes for managing large-scale databases. +Demonstrated experience in handling large data sets and relational databases. +Understanding of addressing and metadata standards. +High-level written and verbal communication skills. + + +Value +Show more ","
+ + + + + +
+
+ We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.

Data Analyst Responsibilities

  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles.
  • Provide quality assurance of imported data, working with quality assurance analysts if necessary.
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analyses.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end-users on new reports and dashboards.
  • Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Requirements:

  • Bachelor’s degree from an accredited university or college in computer science.
  • Work experience as a data analyst or in a related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into nontechnical, lay terms.
  • High-level experience in methodologies and processes for managing large-scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3982172766,https://ca.linkedin.com/jobs/view/online-data-analyst-at-telus-international-ai-data-solutions-3982172766?position=21&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=jjHgxLuRF4vjtJH%2BLcBPwg%3D%3D&trk=public_jobs_jserp-result_search-card,Online Data Analyst,TELUS International AI Data Solutions,"Greater Vancouver, British Columbia, Canada","Why US + +TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com + +Job description + +We are hiring freelance French and English speaking Online Data Analyst's for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography. + +This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, eg verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task. + +Requirements + +Full Professional Proficiency in French and English +You must be living in Canada for the last 2 consecutive years +Ability to follow guidelines and do research online using search engines, online maps and website information +You must have familarity with current and historical business, media, sport, news, social media and cultural affairs in Canada +Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance) +Willingness to learn and adapt to changing guidelines and tasks +Applicants must be 18 years or over. + +Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks. + +Must have the following skills & competencies + +and + +Why Join the TELUS International AI Community? + +Earn additional income with flexible hours to fit your lifestyle +Better work-life balance +Be your own boss +Remote work & location independence +Complimentary well-being package, encompassing a wealth of well-being resources +Be part of an online community + +Payment + +Rate of pay per task is inclusive of reading task guidelines. Payment will be issued in accordance with the terms of the contributor agreement upon successful completion of tasks. +Show more ","
+ + + + + +
+
+

Why US

TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com

Job description

We are hiring freelance French and English speaking Online Data Analyst's for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.

This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, eg verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task.

Requirements

  • Full Professional Proficiency in French and English
  • You must be living in Canada for the last 2 consecutive years
  • Ability to follow guidelines and do research online using search engines, online maps and website information
  • You must have familarity with current and historical business, media, sport, news, social media and cultural affairs in Canada
  • Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance)
  • Willingness to learn and adapt to changing guidelines and tasks
  • Applicants must be 18 years or over.

Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks.

Must have the following skills & competencies

and

Why Join the TELUS International AI Community?

  • Earn additional income with flexible hours to fit your lifestyle
  • Better work-life balance
  • Be your own boss
  • Remote work & location independence
  • Complimentary well-being package, encompassing a wealth of well-being resources
  • Be part of an online community

Payment

  • Rate of pay per task is inclusive of reading task guidelines. Payment will be issued in accordance with the terms of the contributor agreement upon successful completion of tasks.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3882715348,https://ca.linkedin.com/jobs/view/business-intelligence-analyst-at-clio-cloud-based-legal-technology-3882715348?position=22&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=3Z63WG0Hu4XyGkAKNGtHyg%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,Clio - Cloud-Based Legal Technology,"Vancouver, British Columbia, Canada","Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. + +Summary: + +We are currently looking for a new Business Intelligence Analyst to join our Business Intelligence team in one of our Vancouver, Calgary, or Toronto locations. + +What your team does: + +Our Business Intelligence team is part of the larger Data & AI group. Together, we’re focused on stewarding a scientific culture to drive better decisions. Along with the Manager of Business Intelligence, you will be working across departments to empower all stakeholders to make better decisions through data-oriented solutions, with a focus on making data easy and accessible at Clio. You will help our business grow, help our customers succeed, and continuously improve the way we operate. + +Who you are: + +We aren’t looking for just any traditional Business Intelligence Analyst to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values. We’re looking for an innovator and a thought leader! We’re looking for someone who is: + + +Passionate about driving growth empirically; +Always looking to innovate with data and explore open-ended questions; +Strategically minded and never shies away from a challenge; +Self-motivated and able to work autonomously and collaboratively; +Agile and responsive, and comfortable with constant change. + + +What you’ll work on: + + +Partnering with stakeholders, self-serve report creators, the data scientists and data engineers, and others to create meaningful, intentional data solutions; +Standardizing source of truth dashboards and applying best practices to create dashboards that convey the most important metrics for the business; +Creating and editing data models for users to answer business questions and optimize queries and reports for performance; +Effectively communicating findings and feedback to technical and non-technical stakeholders; +Working with the Business Intelligence Manager to govern our BI environment to empower our self serve stakeholders leveraging data and dashboards; +Working with the Business Intelligence Manager to proactively identify and resolve gaps in training, learning resources, and other roadblocks preventing stakeholders from leveraging data for decision making. + + +What you may have: + + +An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.); +3+ years applied experience in business intelligence and/or data modeling; +Proficiency in database modeling, SQL, and knowledge of data warehousing principles; +Proficiency with data visualization and data storytelling; +An understanding or familiarity of SaaS business metrics such as MRR, churn etc; +A passion for understanding data and to figure out the root cause of a metric trending below target; +Proven experience with one or several cloud based business intelligence tools, incl. Tableau, PowerBI, and Looker; +Excellent written and verbal communication skills. + + +Serious bonus points if you: + + +Have experience working with Redshift or other cloud data warehouses; +Are an expert translating technical solutions to non-technical stakeholders; + + +What you will find here: + +Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. + +Some highlights of our Total Rewards program include: + + +Competitive, equitable salary with top-tier health benefits, dental, and vision insurance +Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day. +Flexible time off policy, with an encouraged 20 days off per year. +$2000 annual counseling benefit +RRSP matching and RESP contribution +Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years + + +The expected salary range* for this role is $78,400 to $106,100 CAD. Please note there are a separate set of salary bands for other regions based on local currency. + + +Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate. + + +Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility + +Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. + +Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. + +Learn more about our culture at clio.com/careers +Show more ","
+ + + + + +
+
+ Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently looking for a new Business Intelligence Analyst to join our Business Intelligence team in one of our Vancouver, Calgary, or Toronto locations.

What your team does:

Our Business Intelligence team is part of the larger Data & AI group. Together, we’re focused on stewarding a scientific culture to drive better decisions. Along with the Manager of Business Intelligence, you will be working across departments to empower all stakeholders to make better decisions through data-oriented solutions, with a focus on making data easy and accessible at Clio. You will help our business grow, help our customers succeed, and continuously improve the way we operate.

Who you are:

We aren’t looking for just any traditional Business Intelligence Analyst to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

  • Passionate about driving growth empirically;
  • Always looking to innovate with data and explore open-ended questions;
  • Strategically minded and never shies away from a challenge;
  • Self-motivated and able to work autonomously and collaboratively;
  • Agile and responsive, and comfortable with constant change.

What you’ll work on:

  • Partnering with stakeholders, self-serve report creators, the data scientists and data engineers, and others to create meaningful, intentional data solutions;
  • Standardizing source of truth dashboards and applying best practices to create dashboards that convey the most important metrics for the business;
  • Creating and editing data models for users to answer business questions and optimize queries and reports for performance;
  • Effectively communicating findings and feedback to technical and non-technical stakeholders;
  • Working with the Business Intelligence Manager to govern our BI environment to empower our self serve stakeholders leveraging data and dashboards;
  • Working with the Business Intelligence Manager to proactively identify and resolve gaps in training, learning resources, and other roadblocks preventing stakeholders from leveraging data for decision making.

What you may have:

  • An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.);
  • 3+ years applied experience in business intelligence and/or data modeling;
  • Proficiency in database modeling, SQL, and knowledge of data warehousing principles;
  • Proficiency with data visualization and data storytelling;
  • An understanding or familiarity of SaaS business metrics such as MRR, churn etc;
  • A passion for understanding data and to figure out the root cause of a metric trending below target;
  • Proven experience with one or several cloud based business intelligence tools, incl. Tableau, PowerBI, and Looker;
  • Excellent written and verbal communication skills.

Serious bonus points if you:

  • Have experience working with Redshift or other cloud data warehouses;
  • Are an expert translating technical solutions to non-technical stakeholders;

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day.
  • Flexible time off policy, with an encouraged 20 days off per year.
  • $2000 annual counseling benefit
  • RRSP matching and RESP contribution
  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range* for this role is $78,400 to $106,100 CAD. Please note there are a separate set of salary bands for other regions based on local currency.

  • Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3937114895,https://ca.linkedin.com/jobs/view/business-intelligence-analyst-%E2%80%93-bto-at-vancouver-fraser-port-authority-3937114895?position=23&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=TCnypprGLPIHE5yRHu9e1Q%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst – BTO,Vancouver Fraser Port Authority,"Vancouver, British Columbia, Canada","JOIN US IN CHARTING A COURSE TO A MORE SUSTAINABLE FUTURE + + + + +Join an organization that plays a critical role in Canada’s economy. At the Vancouver Fraser Port Authority, we focus on doing the incredible work it takes to become the world’s most sustainable port. + + + + +The Vancouver Fraser Port Authority is responsible for the stewardship of the Port of Vancouver, Canada’s largest and most diversified port. Our mandate as a Canada Port Authority, as set out by the Canada Marine Act, is to enable Canada’s trade objectives, ensuring goods are moved safely and responsibly through the Port of Vancouver. That means providing infrastructure and ensuring the safe and efficient movement of marine traffic and cargo within the port. It also means we carry out reviews of proposed activities and developments on federal port lands and waters to determine whether a project can go ahead without impacts to the environment and community that cannot be mitigated. + + + + +We are committed to diversity, inclusion, and sustainability. We believe in creating a workplace that reflects the richness of our community and empowers all employees to reach their full potential. + +The business intelligence analyst – BTO develops and implements visualizations and dashboards that provide actionable insights to the business. This role uses a blend of creative and technical skills to develop intuitive BI solutions that meet the needs of our users. + + + + +What You Do + +Collaborate with business units to gather requirements, objectives, and KPIs, understand their reporting, data, and product needs, and identify data dependencies and relationships +Create appropriate datasets, data flows in Microsoft data platform based on the defined information architecture +Design and develop and deploy user-friendly, visually appealing BI dashboards and reports using BI tools such as Tableau or Power BI +Build and narrate data stories and guide in building PowerPoint decks +Provide technical expertise regarding the unique features and constraints of Power BI and related technologies, including best practice recommendations +Develop documentation, user guides, and training materials to support user adoption and customer service. Provide ongoing support, troubleshooting, and maintenance of workflows, addressing user-reported issues +Catalogue, develop and maintain operational reporting, dashboards and scorecards that track organization key metrics + + + + +What You Bring + +Bachelor’s degree in data science, computer science, management information systems, or other relevant discipline +Minimum three (3) years of experience working with BI tools or any data-specific role, plus demonstrated experience of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing (OLAP) +Expertise in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, Power BI, and DAX is required +Experience in configuration of Microsoft Dynamics and Power Platforms is an asset +Experience in configuring, customizing, and extending Dynamics 365 CRM to meet business needs, including workflows, forms, entities, and plugins is an asset +Strong ability to discern trends and patterns from large amounts of raw data +Excellent analytic and problem-solving skills with the ability to take a thoughtful data driven approach to addressing workforce challenges +Must be able to deal with ambiguity and create processes and structure where it does not currently exist +Ability to maintain utmost confidentiality and work with restricted confidential data +Ability to quickly shape data in reporting and analytics solutions and perform testing to assure report and dashboard accuracy + + + + +What We Offer + +We offer a robust total rewards package including: + +Market-competitive base salaries and variable incentive plan +Generous and inclusive benefits offering including retirement benefits plan +Earned time off program +Paid vacation and personal care leave +Learning, development, and advancement opportunities +Onsite gym with towel service in a national landmark in the heart of Vancouver’s waterfront +Friendly, unique, and respectful workplace + + + + +Location: Vancouver, Canada + + + + +Job type: Bargaining Unit, Full-Time, Permanent, Hybrid + + + + +Working environment: Normal office conditions. Flexibility to respond to issues during non-working hours as required. + + + + +Marine Transportation Security Clearance + +This position is required to access restricted areas/information. The incumbent must obtain and maintain a valid Marine Transportation Security Clearance as defined by the Marine Transportation Security Regulations. + + + + +This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada. Applicants selected to move forward in the hiring process may be subject to background checks, including but not limited to criminal record, credit, and/or reference checks. + + + + +At the Vancouver Fraser Port Authority, we are dedicated to employment equity and a workplace reflective of the diversity of our port community. We welcome applications from all qualified candidates including women, persons with disabilities, Indigenous peoples, and members of visible minorities. Reasonable accommodation can be provided in the selection process and while working with the port authority. If you require support applying to our openings, please contact us at careers@portvancouver.com. + + + + +We recognize and acknowledge that we are located on the traditional territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Nations. To learn more about our indigenous relations and commitment to reconciliation, please visit our website. + +Show more ","
+ + + + + +
+
+

JOIN US IN CHARTING A COURSE TO A MORE SUSTAINABLE FUTURE


Join an organization that plays a critical role in Canada’s economy. At the Vancouver Fraser Port Authority, we focus on doing the incredible work it takes to become the world’s most sustainable port.


The Vancouver Fraser Port Authority is responsible for the stewardship of the Port of Vancouver, Canada’s largest and most diversified port. Our mandate as a Canada Port Authority, as set out by the Canada Marine Act, is to enable Canada’s trade objectives, ensuring goods are moved safely and responsibly through the Port of Vancouver. That means providing infrastructure and ensuring the safe and efficient movement of marine traffic and cargo within the port. It also means we carry out reviews of proposed activities and developments on federal port lands and waters to determine whether a project can go ahead without impacts to the environment and community that cannot be mitigated.


We are committed to diversity, inclusion, and sustainability. We believe in creating a workplace that reflects the richness of our community and empowers all employees to reach their full potential.

The business intelligence analyst – BTO develops and implements visualizations and dashboards that provide actionable insights to the business. This role uses a blend of creative and technical skills to develop intuitive BI solutions that meet the needs of our users.


What You Do

  • Collaborate with business units to gather requirements, objectives, and KPIs, understand their reporting, data, and product needs, and identify data dependencies and relationships
  • Create appropriate datasets, data flows in Microsoft data platform based on the defined information architecture
  • Design and develop and deploy user-friendly, visually appealing BI dashboards and reports using BI tools such as Tableau or Power BI
  • Build and narrate data stories and guide in building PowerPoint decks
  • Provide technical expertise regarding the unique features and constraints of Power BI and related technologies, including best practice recommendations
  • Develop documentation, user guides, and training materials to support user adoption and customer service. Provide ongoing support, troubleshooting, and maintenance of workflows, addressing user-reported issues
  • Catalogue, develop and maintain operational reporting, dashboards and scorecards that track organization key metrics


What You Bring

  • Bachelor’s degree in data science, computer science, management information systems, or other relevant discipline
  • Minimum three (3) years of experience working with BI tools or any data-specific role, plus demonstrated experience of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing (OLAP)
  • Expertise in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, Power BI, and DAX is required
  • Experience in configuration of Microsoft Dynamics and Power Platforms is an asset
  • Experience in configuring, customizing, and extending Dynamics 365 CRM to meet business needs, including workflows, forms, entities, and plugins is an asset
  • Strong ability to discern trends and patterns from large amounts of raw data
  • Excellent analytic and problem-solving skills with the ability to take a thoughtful data driven approach to addressing workforce challenges
  • Must be able to deal with ambiguity and create processes and structure where it does not currently exist
  • Ability to maintain utmost confidentiality and work with restricted confidential data
  • Ability to quickly shape data in reporting and analytics solutions and perform testing to assure report and dashboard accuracy


What We Offer

We offer a robust total rewards package including:

  • Market-competitive base salaries and variable incentive plan
  • Generous and inclusive benefits offering including retirement benefits plan
  • Earned time off program
  • Paid vacation and personal care leave
  • Learning, development, and advancement opportunities
  • Onsite gym with towel service in a national landmark in the heart of Vancouver’s waterfront
  • Friendly, unique, and respectful workplace


Location: Vancouver, Canada


Job type: Bargaining Unit, Full-Time, Permanent, Hybrid


Working environment: Normal office conditions. Flexibility to respond to issues during non-working hours as required.


Marine Transportation Security Clearance

This position is required to access restricted areas/information. The incumbent must obtain and maintain a valid Marine Transportation Security Clearance as defined by the Marine Transportation Security Regulations.


This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada. Applicants selected to move forward in the hiring process may be subject to background checks, including but not limited to criminal record, credit, and/or reference checks.


At the Vancouver Fraser Port Authority, we are dedicated to employment equity and a workplace reflective of the diversity of our port community. We welcome applications from all qualified candidates including women, persons with disabilities, Indigenous peoples, and members of visible minorities. Reasonable accommodation can be provided in the selection process and while working with the port authority. If you require support applying to our openings, please contact us at careers@portvancouver.com.


We recognize and acknowledge that we are located on the traditional territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Nations. To learn more about our indigenous relations and commitment to reconciliation, please visit our website.

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",2024-08-05,[] +3973800470,https://ca.linkedin.com/jobs/view/senior-data-analyst-dauntless-fae-farm-at-phoenix-labs-3973800470?position=24&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=mu3e0HPbL1Qr7akG7WUMTw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Analyst - Dauntless/Fae Farm,Phoenix Labs,"Vancouver, British Columbia, Canada","Greetings from Phoenix Labs! + +Whether you're hunting behemoths with your friends in Dauntless or rekindling the magical energy of Azoria in Fae Farm, our worlds empower players to share enduring stories like never before. Around here, we believe people are the ends, not the means. It's how we strive to be a destination for developers who wish to collaborate on making timeless games enjoyed by players all over the world. + +Phoenix Labs is looking for a data-focused individual to help us make thoughtful use of the information we gather to delight our players. You will analyze massive amounts of data to inform product strategy and direction, working across all aspects of the product, on both the development & publishing side, to better understand the performance and potential of our live games, Dauntless and Fae Farm. + +Responsibilities: + + +Collect and analyze complex data to more deeply understand our audience and their behaviours and desires. +Partner with feature leads to inform the strategic direction of our games. +Analyze financial indicators and support revenue forecast exercises. +Help us understand the needs and wants of our players from all over the world. +Design experiments and provide perspective to test teams' assumptions and inform their actions. +Work with people across the company to grow the understanding and impact of analytics in a multi-disciplinary team. +Share your results in dashboards and presentations. + + +Required Qualifications: + + +Prior experience in a Data Analyst role directly supporting a video game product, ideally GaaS. +Minimum of five years of professional work experience analyzing large data sets and informing company strategy, or in management consulting. +Strong communication skills and ability to build understanding with data consumers of all levels. +Proven experience writing SQL queries and using BI software. +Experience with A/B testing and cohort analysis. + + +Preferred Qualifications: + + +A graduate degree or meaningful work experience in consulting, consumer insights, product strategy or revenue strategy. +Experience writing queries with DBT. +Knowledge of Python, ML and ETL techniques. +Knowledge of AWS, especially Athena, S3, and Glue. +Experience, knowledge, or willingness to learn qualitative user research (surveys, focus groups, ethnographic research). +Experience with Gem. + + +Pay Transparency + +Phoenix Labs believes in pay equity and we welcome conversations with candidates on how their salary expectations align with our established ranges. As you progress through the interview process, it may be determined that your experience might align better with a higher/lower level of position than you originally applied for and, should that happen, we will discuss the new pay range with you before moving forward with additional interviews or an offer. + +Phoenix Labs covers the cost of basic medical for employees and their dependents, in addition to offering generous Dental and Paramedical Services. For 2023, we match employees' contributions to their RRSP up to 5% of their salaries. We provide employees with a flexible vacation plan, all the Provincial Statutory holidays, and unlimited sick time. + +Benefits listed may vary depending on the nature of your employment and/or work location. Benefit plan details will be provided upon a candidate receiving an offer of employment. + +Canada Pay Range + +$115,000—$190,000 CAD + +Who We Are + +We are dedicated to deepening the engagement and delight of our player communities by focusing on the growth of our existing game franchises. United by our love for games and a collective spirit of innovation, our mosaic team of developers strives to enhance every player's experience. While our main studio is based in Vancouver (BC), we embrace flexible working arrangements, including remote and hybrid for certain roles. +Show more ","
+ + + + + +
+
+ Greetings from Phoenix Labs!

Whether you're hunting behemoths with your friends in Dauntless or rekindling the magical energy of Azoria in Fae Farm, our worlds empower players to share enduring stories like never before. Around here, we believe people are the ends, not the means. It's how we strive to be a destination for developers who wish to collaborate on making timeless games enjoyed by players all over the world.

Phoenix Labs is looking for a data-focused individual to help us make thoughtful use of the information we gather to delight our players. You will analyze massive amounts of data to inform product strategy and direction, working across all aspects of the product, on both the development & publishing side, to better understand the performance and potential of our live games, Dauntless and Fae Farm.

Responsibilities:

  • Collect and analyze complex data to more deeply understand our audience and their behaviours and desires.
  • Partner with feature leads to inform the strategic direction of our games.
  • Analyze financial indicators and support revenue forecast exercises.
  • Help us understand the needs and wants of our players from all over the world.
  • Design experiments and provide perspective to test teams' assumptions and inform their actions.
  • Work with people across the company to grow the understanding and impact of analytics in a multi-disciplinary team.
  • Share your results in dashboards and presentations.

Required Qualifications:

  • Prior experience in a Data Analyst role directly supporting a video game product, ideally GaaS.
  • Minimum of five years of professional work experience analyzing large data sets and informing company strategy, or in management consulting.
  • Strong communication skills and ability to build understanding with data consumers of all levels.
  • Proven experience writing SQL queries and using BI software.
  • Experience with A/B testing and cohort analysis.

Preferred Qualifications:

  • A graduate degree or meaningful work experience in consulting, consumer insights, product strategy or revenue strategy.
  • Experience writing queries with DBT.
  • Knowledge of Python, ML and ETL techniques.
  • Knowledge of AWS, especially Athena, S3, and Glue.
  • Experience, knowledge, or willingness to learn qualitative user research (surveys, focus groups, ethnographic research).
  • Experience with Gem.

Pay Transparency

Phoenix Labs believes in pay equity and we welcome conversations with candidates on how their salary expectations align with our established ranges. As you progress through the interview process, it may be determined that your experience might align better with a higher/lower level of position than you originally applied for and, should that happen, we will discuss the new pay range with you before moving forward with additional interviews or an offer.

Phoenix Labs covers the cost of basic medical for employees and their dependents, in addition to offering generous Dental and Paramedical Services. For 2023, we match employees' contributions to their RRSP up to 5% of their salaries. We provide employees with a flexible vacation plan, all the Provincial Statutory holidays, and unlimited sick time.

Benefits listed may vary depending on the nature of your employment and/or work location. Benefit plan details will be provided upon a candidate receiving an offer of employment.

Canada Pay Range

$115,000—$190,000 CAD

Who We Are

We are dedicated to deepening the engagement and delight of our player communities by focusing on the growth of our existing game franchises. United by our love for games and a collective spirit of innovation, our mosaic team of developers strives to enhance every player's experience. While our main studio is based in Vancouver (BC), we embrace flexible working arrangements, including remote and hybrid for certain roles. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-11,[] +3990714351,https://ca.linkedin.com/jobs/view/remote-data-analyst-rebel-apparel-at-bcjobs-3990714351?position=28&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=220npmE0xN6demDLEXfTKw%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Data Analyst (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","Job Title: Remote Data Analyst + +Location: Remote + +Job Type: Full-Time/Part-Time/Contract + +Overview: We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, statistical methods, and data visualization. This role is responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. You will work closely with various teams to support data-driven decision-making processes. + +Key Responsibilities + + +Collect, clean, and preprocess data from multiple sources. +Perform exploratory data analysis and develop predictive models. +Create and maintain dashboards and reports to visualize trends and key metrics. +Collaborate with stakeholders to understand their data needs and deliver actionable insights. +Identify, analyze, and interpret patterns and trends in complex datasets. +Ensure data integrity and accuracy across all reports and analyses. + + +Qualifications + + +Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. +Proven experience as a Data Analyst or similar role. +Proficiency in data analysis tools such as Excel, SQL, Python, or R. +Experience with data visualization tools like Tableau, Power BI, or similar platforms. +Strong analytical skills and attention to detail. +Excellent communication skills, with the ability to present findings clearly and effectively. +Ability to work independently and manage multiple tasks efficiently. + + +Benefits + + +Competitive salary and performance bonuses. +Flexible working hours and remote work. +Professional development opportunities. +Health, dental, and vision insurance options. +Collaborative and inclusive work environment. + + +Application Process: To apply, please submit your resume and a cover letter outlining your relevant experience and skills. We look forward to reviewing your application! + +Value +Show more ","
+ + + + + +
+
+ Job Title: Remote Data Analyst

Location: Remote

Job Type: Full-Time/Part-Time/Contract

Overview: We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, statistical methods, and data visualization. This role is responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. You will work closely with various teams to support data-driven decision-making processes.

Key Responsibilities

  • Collect, clean, and preprocess data from multiple sources.
  • Perform exploratory data analysis and develop predictive models.
  • Create and maintain dashboards and reports to visualize trends and key metrics.
  • Collaborate with stakeholders to understand their data needs and deliver actionable insights.
  • Identify, analyze, and interpret patterns and trends in complex datasets.
  • Ensure data integrity and accuracy across all reports and analyses.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Proven experience as a Data Analyst or similar role.
  • Proficiency in data analysis tools such as Excel, SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar platforms.
  • Strong analytical skills and attention to detail.
  • Excellent communication skills, with the ability to present findings clearly and effectively.
  • Ability to work independently and manage multiple tasks efficiently.

Benefits

  • Competitive salary and performance bonuses.
  • Flexible working hours and remote work.
  • Professional development opportunities.
  • Health, dental, and vision insurance options.
  • Collaborative and inclusive work environment.

Application Process: To apply, please submit your resume and a cover letter outlining your relevant experience and skills. We look forward to reviewing your application!

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3972787822,https://ca.linkedin.com/jobs/view/data-engineering-analyst-at-seaspan-ulc-3972787822?position=32&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=yD4jikZD%2FkbijuD0dc72%2BQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineering Analyst,Seaspan ULC,"North Vancouver, British Columbia, Canada","Job Description + +Reporting to the Manager, Data and Digital Enablement, the Data Engineering Analystwill collaborate closely with the Data Architect to ensure the technical support and high availability of Seaspan Marine Group's data infrastructure within Microsoft's Azure cloud platform. This role will actively participate in maintaining and optimizing the organization’s data ecosystem. This includes a strong commitment to delivering exceptional client-centered service across all projects, spanning the creation, deployment, and implementation of new data products, as well as enhancements to existing infrastructure, solutions, and data operations processes. + +Note: This position qualifies for an optional hybrid work schedule after 90 days of onsite work and onboarding. Employee will be subject to the terms of the Flexible Work Policy Agreement. + +What You’ll Do + +Data Infrastructure Support + + +Assists in ensuring the technical support and high availability of Seaspan Marine Group's data infrastructure. +Collaborates with the Data Architect in designing, implementing, and optimizing scalable data infrastructure solutions within Microsoft's technology stack. +Contributes to monitoring, troubleshooting, and debugging issues affecting the performance of the data infrastructure and its assets. +Actively participates in root-cause analysis for incidents and contribute to lessons learned. +Supports the management and maintenance of the organization's data warehouse and lake house, ensuring its reliability, security, and operational efficiency. +Contributes to enhancing existing infrastructure, solutions, and processes to meet technical standards and address business requirements. + + + +ETL and Data Integration + + +Assists in the development and implementation of end-to-end ETL processes for data procurement and integration. +Collaborates with the team to continuously monitor, tune, and optimize the performance of data pipelines, databases, datasets, and their semantic layer. +Participates in defining and implementing efficient data engineering workflows. + + + +Data Modeling and Quality + + +Supports best practices in data modeling methodologies for the design and implementation of effective datasets. +Contributes to the establishment and enforcement of data quality standards and practices to ensure accuracy and reliability throughout the data life cycle. +Assists in implementing data quality monitoring, alerting, and profiling processes. +Collaborates with stakeholders to define and maintain data quality metrics and KPIs + + + +Documentation and Communication + + +Writes and maintain comprehensive documentation of the requirements collected, data infrastructure, data source catalogs, data models, ETL runbooks, and data quality standards. +Works closely with stakeholders to understand use cases and ensure developed data products meet their needs. +Assists in effective communication with technical and non-technical stakeholders, translating complex technical concepts into understandable terms. + + + +Project Collaboration + + +Supports the implementation of the Data and Digital Enablement Program’s roadmap. +Participates in Scrum ceremonies as part of the Data and Digital Enablement team. +Actively contributes on data engineering projects from conception to completion, ensuring alignment with business objectives. +Works towards maintaining high standards in Seaspan Marine Group’s data engineering processes, aligning with industry best practices. + + + +What You’ll Bring + + +Bachelor’s degree in computer science, Engineering, Business Administration, or completion of a Post-secondary Diploma in Computer Science. +Minimum 2-3 years of experience in cloud application implementation, application development, application integration, business analysis, or Relational Data modeling for OLTP and OLAP systems. +Familiarity with designing and building ETL mechanisms in Azure. +Proficiency in coding languages such as PowerShell, Python, SQL, Java, and Scala. +Exposure to Spark and Databricks in Azure is an asset. +Experience using IDEs such as VS or VS Code for development and Git for version control. +Familiarity with Azure DevOps and version control practices. +Understanding of data concepts, databases, data modeling, dimension modeling, change data capture, and star schema. +Experience with physical and logical design of database architectures for relational databases, data warehouses, and data lakes. +Knowledge of database optimization, data replication, database recovery, and performance tuning. +Solid working knowledge in SQL Server and TSQL. + + + +Why You’ll Love Working Here + + +In addition to an annual bonus and pension plan matching, this role provides you a very competitive salary in line with the successful candidate’s experience. +We also provide a best-in-class health and wellness benefits package for this position, including such things as full health care (e.g. unlimited physiotherapy), dental, vision, life insurance, medical leave coverage, parental leave coverage, childcare benefit partnership, wellness/fitness reimbursement for memberships or registration fees, and an Employee Family Assistance Program (EFAP). +Free on-site gym (insert in the benefits package sentence if this role is based out of Pemberton office) +Parking is included and to assist those that are using transit, we operate a complimentary shuttle bus Monday through Friday with various pick up and drop off points around North Vancouver. + + + +The estimated salary for this position is $69,300 - $84,700. In determining final salary, Seaspan considers many factors including the successful Candidate’s skillset and experience as well as position location and internal equity. The final base salary offer will be at the Company’s sole discretion and presented as part of a competitive total compensation package. + +About Us + +With more than 130 years of experience navigating in some of the world’s most complex and difficult waters, Seaspan Marine is the largest and most diverse tug & barge company on Canada’s West Coast. + +Seaspan is committed to Employment Equity, supports diversity in the workplace, and encourages applications from all qualified individuals including, women, members of visible minorities, Indigenous persons, and persons with disabilities. Furthermore, we are committed to providing an inclusive and accessible environment. If you require accommodation during the recruitment process, please let us know, and we will work with you to support your request. + + +Show more ","
+ + + + + +
+
+ Job Description

Reporting to the Manager, Data and Digital Enablement, the Data Engineering Analystwill collaborate closely with the Data Architect to ensure the technical support and high availability of Seaspan Marine Group's data infrastructure within Microsoft's Azure cloud platform. This role will actively participate in maintaining and optimizing the organization’s data ecosystem. This includes a strong commitment to delivering exceptional client-centered service across all projects, spanning the creation, deployment, and implementation of new data products, as well as enhancements to existing infrastructure, solutions, and data operations processes.

Note: This position qualifies for an optional hybrid work schedule after 90 days of onsite work and onboarding. Employee will be subject to the terms of the Flexible Work Policy Agreement.

What You’ll Do

Data Infrastructure Support

  • Assists in ensuring the technical support and high availability of Seaspan Marine Group's data infrastructure.
  • Collaborates with the Data Architect in designing, implementing, and optimizing scalable data infrastructure solutions within Microsoft's technology stack.
  • Contributes to monitoring, troubleshooting, and debugging issues affecting the performance of the data infrastructure and its assets.
  • Actively participates in root-cause analysis for incidents and contribute to lessons learned.
  • Supports the management and maintenance of the organization's data warehouse and lake house, ensuring its reliability, security, and operational efficiency.
  • Contributes to enhancing existing infrastructure, solutions, and processes to meet technical standards and address business requirements.


ETL and Data Integration

  • Assists in the development and implementation of end-to-end ETL processes for data procurement and integration.
  • Collaborates with the team to continuously monitor, tune, and optimize the performance of data pipelines, databases, datasets, and their semantic layer.
  • Participates in defining and implementing efficient data engineering workflows.


Data Modeling and Quality

  • Supports best practices in data modeling methodologies for the design and implementation of effective datasets.
  • Contributes to the establishment and enforcement of data quality standards and practices to ensure accuracy and reliability throughout the data life cycle.
  • Assists in implementing data quality monitoring, alerting, and profiling processes.
  • Collaborates with stakeholders to define and maintain data quality metrics and KPIs


Documentation and Communication

  • Writes and maintain comprehensive documentation of the requirements collected, data infrastructure, data source catalogs, data models, ETL runbooks, and data quality standards.
  • Works closely with stakeholders to understand use cases and ensure developed data products meet their needs.
  • Assists in effective communication with technical and non-technical stakeholders, translating complex technical concepts into understandable terms.


Project Collaboration

  • Supports the implementation of the Data and Digital Enablement Program’s roadmap.
  • Participates in Scrum ceremonies as part of the Data and Digital Enablement team.
  • Actively contributes on data engineering projects from conception to completion, ensuring alignment with business objectives.
  • Works towards maintaining high standards in Seaspan Marine Group’s data engineering processes, aligning with industry best practices.


What You’ll Bring

  • Bachelor’s degree in computer science, Engineering, Business Administration, or completion of a Post-secondary Diploma in Computer Science.
  • Minimum 2-3 years of experience in cloud application implementation, application development, application integration, business analysis, or Relational Data modeling for OLTP and OLAP systems.
  • Familiarity with designing and building ETL mechanisms in Azure.
  • Proficiency in coding languages such as PowerShell, Python, SQL, Java, and Scala.
  • Exposure to Spark and Databricks in Azure is an asset.
  • Experience using IDEs such as VS or VS Code for development and Git for version control.
  • Familiarity with Azure DevOps and version control practices.
  • Understanding of data concepts, databases, data modeling, dimension modeling, change data capture, and star schema.
  • Experience with physical and logical design of database architectures for relational databases, data warehouses, and data lakes.
  • Knowledge of database optimization, data replication, database recovery, and performance tuning.
  • Solid working knowledge in SQL Server and TSQL.


Why You’ll Love Working Here

  • In addition to an annual bonus and pension plan matching, this role provides you a very competitive salary in line with the successful candidate’s experience.
  • We also provide a best-in-class health and wellness benefits package for this position, including such things as full health care (e.g. unlimited physiotherapy), dental, vision, life insurance, medical leave coverage, parental leave coverage, childcare benefit partnership, wellness/fitness reimbursement for memberships or registration fees, and an Employee Family Assistance Program (EFAP).
  • Free on-site gym (insert in the benefits package sentence if this role is based out of Pemberton office)
  • Parking is included and to assist those that are using transit, we operate a complimentary shuttle bus Monday through Friday with various pick up and drop off points around North Vancouver.


The estimated salary for this position is $69,300 - $84,700. In determining final salary, Seaspan considers many factors including the successful Candidate’s skillset and experience as well as position location and internal equity. The final base salary offer will be at the Company’s sole discretion and presented as part of a competitive total compensation package.

About Us

With more than 130 years of experience navigating in some of the world’s most complex and difficult waters, Seaspan Marine is the largest and most diverse tug & barge company on Canada’s West Coast.

Seaspan is committed to Employment Equity, supports diversity in the workplace, and encourages applications from all qualified individuals including, women, members of visible minorities, Indigenous persons, and persons with disabilities. Furthermore, we are committed to providing an inclusive and accessible environment. If you require accommodation during the recruitment process, please let us know, and we will work with you to support your request.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3991271376,https://ca.linkedin.com/jobs/view/remote-data-analyst-rebel-apparel-at-bcjobs-3991271376?position=33&pageNum=0&refId=8yAtSMeA0%2FE0zyW40rZfjQ%3D%3D&trackingId=2FN3hx5qC1AzJXHhG5C0rA%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Data Analyst (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","Job Description: Rebel Apparel Inc. is seeking a skilled Remote Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. Your primary focus will be to develop, implement, and maintain databases, data collection systems, and analytics tools that optimize statistical efficiency and quality. The ideal candidate will have a strong ability to analyze trends and provide actionable insights to enhance decision-making processes across the organization. + +Responsibilities + + +Interpret data, analyze results using statistical techniques, and provide ongoing reports. +Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. +Acquire data from primary or secondary data sources and maintain databases/data systems. +Identify, analyze, and interpret trends or patterns in complex data sets. +Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. +Work closely with management to prioritize business and information needs. +Locate and define new process improvement opportunities. + + +Requirements + + +Proven working experience as a Data Analyst or Business Data Analyst. +Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. +Technical expertise regarding data models, database design development, data mining, and segmentation techniques. +Strong knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL, etc.), programming (XML, Javascript, or ETL frameworks), and data visualization tools (Tableau, Power BI, etc.). +Adept at queries, report writing, and presenting findings. +Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. + + +Preferred Qualifications + + +Proven experience working in an e-commerce or retail environment. +Advanced degree in a related field. +Certification in Data Analytics. + + +Join Rebel Apparel Inc. and help us redefine the future of fashion through data-driven insights and innovation. Apply now to become a part of our passionate team! + +Value +Show more ","
+ + + + + +
+
+ Job Description: Rebel Apparel Inc. is seeking a skilled Remote Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. Your primary focus will be to develop, implement, and maintain databases, data collection systems, and analytics tools that optimize statistical efficiency and quality. The ideal candidate will have a strong ability to analyze trends and provide actionable insights to enhance decision-making processes across the organization.

Responsibilities

  • Interpret data, analyze results using statistical techniques, and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
  • Work closely with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.

Requirements

  • Proven working experience as a Data Analyst or Business Data Analyst.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
  • Strong knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL, etc.), programming (XML, Javascript, or ETL frameworks), and data visualization tools (Tableau, Power BI, etc.).
  • Adept at queries, report writing, and presenting findings.
  • Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.

Preferred Qualifications

  • Proven experience working in an e-commerce or retail environment.
  • Advanced degree in a related field.
  • Certification in Data Analytics.

Join Rebel Apparel Inc. and help us redefine the future of fashion through data-driven insights and innovation. Apply now to become a part of our passionate team!

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3991268829,https://ca.linkedin.com/jobs/view/data-analyst-remotely-rebel-apparel-at-bcjobs-3991268829?position=1&pageNum=2&refId=lOMmft29BJuY50G%2BYItU8w%3D%3D&trackingId=uMUq7mENoAKtvcpLh2iH1w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Remotely) (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. + +Data Analyst Responsibilities + + +Managing master data, including creation, updates, and deletion. +Managing users and user roles. +Provide quality assurance of imported data, working with quality assurance analysts if necessary. +Commissioning and decommissioning of data sets. +Processing confidential data and information according to guidelines. +Helping develop reports and analyses. +Managing and designing the reporting environment, including data sources, security, and metadata. +Supporting the data warehouse in identifying and revising reporting requirements. +Supporting initiatives for data integrity and normalization. +Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. +Generating reports from single or multiple systems. +Troubleshooting the reporting database environment and reports. +Evaluating changes and updates to source production systems. +Training end-users on new reports and dashboards. +Providing technical expertise in data storage structures, data mining, and data cleansing. + + +Data Analyst Requirements: + + +Bachelor’s degree from an accredited university or college in computer science. +Work experience as a data analyst or in a related field. +Ability to work with stakeholders to assess potential risks. +Ability to analyze existing tools and databases and provide software solution recommendations. +Ability to translate business requirements into nontechnical, lay terms. +High-level experience in methodologies and processes for managing large-scale databases. +Demonstrated experience in handling large data sets and relational databases. +Understanding of addressing and metadata standards. +High-level written and verbal communication skills. + + +Value +Show more ","
+ + + + + +
+
+ We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.

Data Analyst Responsibilities

  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles.
  • Provide quality assurance of imported data, working with quality assurance analysts if necessary.
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analyses.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end-users on new reports and dashboards.
  • Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Requirements:

  • Bachelor’s degree from an accredited university or college in computer science.
  • Work experience as a data analyst or in a related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into nontechnical, lay terms.
  • High-level experience in methodologies and processes for managing large-scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3982172766,https://ca.linkedin.com/jobs/view/online-data-analyst-at-telus-international-ai-data-solutions-3982172766?position=2&pageNum=2&refId=lOMmft29BJuY50G%2BYItU8w%3D%3D&trackingId=nFKv6mqE1V0OmYvxyp7kpA%3D%3D&trk=public_jobs_jserp-result_search-card,Online Data Analyst,TELUS International AI Data Solutions,"Greater Vancouver, British Columbia, Canada","Why US + +TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com + +Job description + +We are hiring freelance French and English speaking Online Data Analyst's for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography. + +This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, eg verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task. + +Requirements + +Full Professional Proficiency in French and English +You must be living in Canada for the last 2 consecutive years +Ability to follow guidelines and do research online using search engines, online maps and website information +You must have familarity with current and historical business, media, sport, news, social media and cultural affairs in Canada +Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance) +Willingness to learn and adapt to changing guidelines and tasks +Applicants must be 18 years or over. + +Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks. + +Must have the following skills & competencies + +and + +Why Join the TELUS International AI Community? + +Earn additional income with flexible hours to fit your lifestyle +Better work-life balance +Be your own boss +Remote work & location independence +Complimentary well-being package, encompassing a wealth of well-being resources +Be part of an online community + +Payment + +Rate of pay per task is inclusive of reading task guidelines. Payment will be issued in accordance with the terms of the contributor agreement upon successful completion of tasks. +Show more ","
+ + + + + +
+
+

Why US

TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. www.telusinternational.com

Job description

We are hiring freelance French and English speaking Online Data Analyst's for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.

This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, eg verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task.

Requirements

  • Full Professional Proficiency in French and English
  • You must be living in Canada for the last 2 consecutive years
  • Ability to follow guidelines and do research online using search engines, online maps and website information
  • You must have familarity with current and historical business, media, sport, news, social media and cultural affairs in Canada
  • Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance)
  • Willingness to learn and adapt to changing guidelines and tasks
  • Applicants must be 18 years or over.

Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks.

Must have the following skills & competencies

and

Why Join the TELUS International AI Community?

  • Earn additional income with flexible hours to fit your lifestyle
  • Better work-life balance
  • Be your own boss
  • Remote work & location independence
  • Complimentary well-being package, encompassing a wealth of well-being resources
  • Be part of an online community

Payment

  • Rate of pay per task is inclusive of reading task guidelines. Payment will be issued in accordance with the terms of the contributor agreement upon successful completion of tasks.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3882715348,https://ca.linkedin.com/jobs/view/business-intelligence-analyst-at-clio-cloud-based-legal-technology-3882715348?position=3&pageNum=2&refId=lOMmft29BJuY50G%2BYItU8w%3D%3D&trackingId=1l%2BOfK%2FblPQGveozMha%2BJw%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst,Clio - Cloud-Based Legal Technology,"Vancouver, British Columbia, Canada","Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. + +Summary: + +We are currently looking for a new Business Intelligence Analyst to join our Business Intelligence team in one of our Vancouver, Calgary, or Toronto locations. + +What your team does: + +Our Business Intelligence team is part of the larger Data & AI group. Together, we’re focused on stewarding a scientific culture to drive better decisions. Along with the Manager of Business Intelligence, you will be working across departments to empower all stakeholders to make better decisions through data-oriented solutions, with a focus on making data easy and accessible at Clio. You will help our business grow, help our customers succeed, and continuously improve the way we operate. + +Who you are: + +We aren’t looking for just any traditional Business Intelligence Analyst to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values. We’re looking for an innovator and a thought leader! We’re looking for someone who is: + + +Passionate about driving growth empirically; +Always looking to innovate with data and explore open-ended questions; +Strategically minded and never shies away from a challenge; +Self-motivated and able to work autonomously and collaboratively; +Agile and responsive, and comfortable with constant change. + + +What you’ll work on: + + +Partnering with stakeholders, self-serve report creators, the data scientists and data engineers, and others to create meaningful, intentional data solutions; +Standardizing source of truth dashboards and applying best practices to create dashboards that convey the most important metrics for the business; +Creating and editing data models for users to answer business questions and optimize queries and reports for performance; +Effectively communicating findings and feedback to technical and non-technical stakeholders; +Working with the Business Intelligence Manager to govern our BI environment to empower our self serve stakeholders leveraging data and dashboards; +Working with the Business Intelligence Manager to proactively identify and resolve gaps in training, learning resources, and other roadblocks preventing stakeholders from leveraging data for decision making. + + +What you may have: + + +An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.); +3+ years applied experience in business intelligence and/or data modeling; +Proficiency in database modeling, SQL, and knowledge of data warehousing principles; +Proficiency with data visualization and data storytelling; +An understanding or familiarity of SaaS business metrics such as MRR, churn etc; +A passion for understanding data and to figure out the root cause of a metric trending below target; +Proven experience with one or several cloud based business intelligence tools, incl. Tableau, PowerBI, and Looker; +Excellent written and verbal communication skills. + + +Serious bonus points if you: + + +Have experience working with Redshift or other cloud data warehouses; +Are an expert translating technical solutions to non-technical stakeholders; + + +What you will find here: + +Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. + +Some highlights of our Total Rewards program include: + + +Competitive, equitable salary with top-tier health benefits, dental, and vision insurance +Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day. +Flexible time off policy, with an encouraged 20 days off per year. +$2000 annual counseling benefit +RRSP matching and RESP contribution +Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years + + +The expected salary range* for this role is $78,400 to $106,100 CAD. Please note there are a separate set of salary bands for other regions based on local currency. + + +Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate. + + +Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility + +Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. + +Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. + +Learn more about our culture at clio.com/careers +Show more ","
+ + + + + +
+
+ Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently looking for a new Business Intelligence Analyst to join our Business Intelligence team in one of our Vancouver, Calgary, or Toronto locations.

What your team does:

Our Business Intelligence team is part of the larger Data & AI group. Together, we’re focused on stewarding a scientific culture to drive better decisions. Along with the Manager of Business Intelligence, you will be working across departments to empower all stakeholders to make better decisions through data-oriented solutions, with a focus on making data easy and accessible at Clio. You will help our business grow, help our customers succeed, and continuously improve the way we operate.

Who you are:

We aren’t looking for just any traditional Business Intelligence Analyst to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

  • Passionate about driving growth empirically;
  • Always looking to innovate with data and explore open-ended questions;
  • Strategically minded and never shies away from a challenge;
  • Self-motivated and able to work autonomously and collaboratively;
  • Agile and responsive, and comfortable with constant change.

What you’ll work on:

  • Partnering with stakeholders, self-serve report creators, the data scientists and data engineers, and others to create meaningful, intentional data solutions;
  • Standardizing source of truth dashboards and applying best practices to create dashboards that convey the most important metrics for the business;
  • Creating and editing data models for users to answer business questions and optimize queries and reports for performance;
  • Effectively communicating findings and feedback to technical and non-technical stakeholders;
  • Working with the Business Intelligence Manager to govern our BI environment to empower our self serve stakeholders leveraging data and dashboards;
  • Working with the Business Intelligence Manager to proactively identify and resolve gaps in training, learning resources, and other roadblocks preventing stakeholders from leveraging data for decision making.

What you may have:

  • An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.);
  • 3+ years applied experience in business intelligence and/or data modeling;
  • Proficiency in database modeling, SQL, and knowledge of data warehousing principles;
  • Proficiency with data visualization and data storytelling;
  • An understanding or familiarity of SaaS business metrics such as MRR, churn etc;
  • A passion for understanding data and to figure out the root cause of a metric trending below target;
  • Proven experience with one or several cloud based business intelligence tools, incl. Tableau, PowerBI, and Looker;
  • Excellent written and verbal communication skills.

Serious bonus points if you:

  • Have experience working with Redshift or other cloud data warehouses;
  • Are an expert translating technical solutions to non-technical stakeholders;

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day.
  • Flexible time off policy, with an encouraged 20 days off per year.
  • $2000 annual counseling benefit
  • RRSP matching and RESP contribution
  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range* for this role is $78,400 to $106,100 CAD. Please note there are a separate set of salary bands for other regions based on local currency.

  • Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3937114895,https://ca.linkedin.com/jobs/view/business-intelligence-analyst-%E2%80%93-bto-at-vancouver-fraser-port-authority-3937114895?position=4&pageNum=2&refId=lOMmft29BJuY50G%2BYItU8w%3D%3D&trackingId=QTdrvn%2FOe1FbX7xZt7aynA%3D%3D&trk=public_jobs_jserp-result_search-card,Business Intelligence Analyst – BTO,Vancouver Fraser Port Authority,"Vancouver, British Columbia, Canada","JOIN US IN CHARTING A COURSE TO A MORE SUSTAINABLE FUTURE + + + + +Join an organization that plays a critical role in Canada’s economy. At the Vancouver Fraser Port Authority, we focus on doing the incredible work it takes to become the world’s most sustainable port. + + + + +The Vancouver Fraser Port Authority is responsible for the stewardship of the Port of Vancouver, Canada’s largest and most diversified port. Our mandate as a Canada Port Authority, as set out by the Canada Marine Act, is to enable Canada’s trade objectives, ensuring goods are moved safely and responsibly through the Port of Vancouver. That means providing infrastructure and ensuring the safe and efficient movement of marine traffic and cargo within the port. It also means we carry out reviews of proposed activities and developments on federal port lands and waters to determine whether a project can go ahead without impacts to the environment and community that cannot be mitigated. + + + + +We are committed to diversity, inclusion, and sustainability. We believe in creating a workplace that reflects the richness of our community and empowers all employees to reach their full potential. + +The business intelligence analyst – BTO develops and implements visualizations and dashboards that provide actionable insights to the business. This role uses a blend of creative and technical skills to develop intuitive BI solutions that meet the needs of our users. + + + + +What You Do + +Collaborate with business units to gather requirements, objectives, and KPIs, understand their reporting, data, and product needs, and identify data dependencies and relationships +Create appropriate datasets, data flows in Microsoft data platform based on the defined information architecture +Design and develop and deploy user-friendly, visually appealing BI dashboards and reports using BI tools such as Tableau or Power BI +Build and narrate data stories and guide in building PowerPoint decks +Provide technical expertise regarding the unique features and constraints of Power BI and related technologies, including best practice recommendations +Develop documentation, user guides, and training materials to support user adoption and customer service. Provide ongoing support, troubleshooting, and maintenance of workflows, addressing user-reported issues +Catalogue, develop and maintain operational reporting, dashboards and scorecards that track organization key metrics + + + + +What You Bring + +Bachelor’s degree in data science, computer science, management information systems, or other relevant discipline +Minimum three (3) years of experience working with BI tools or any data-specific role, plus demonstrated experience of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing (OLAP) +Expertise in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, Power BI, and DAX is required +Experience in configuration of Microsoft Dynamics and Power Platforms is an asset +Experience in configuring, customizing, and extending Dynamics 365 CRM to meet business needs, including workflows, forms, entities, and plugins is an asset +Strong ability to discern trends and patterns from large amounts of raw data +Excellent analytic and problem-solving skills with the ability to take a thoughtful data driven approach to addressing workforce challenges +Must be able to deal with ambiguity and create processes and structure where it does not currently exist +Ability to maintain utmost confidentiality and work with restricted confidential data +Ability to quickly shape data in reporting and analytics solutions and perform testing to assure report and dashboard accuracy + + + + +What We Offer + +We offer a robust total rewards package including: + +Market-competitive base salaries and variable incentive plan +Generous and inclusive benefits offering including retirement benefits plan +Earned time off program +Paid vacation and personal care leave +Learning, development, and advancement opportunities +Onsite gym with towel service in a national landmark in the heart of Vancouver’s waterfront +Friendly, unique, and respectful workplace + + + + +Location: Vancouver, Canada + + + + +Job type: Bargaining Unit, Full-Time, Permanent, Hybrid + + + + +Working environment: Normal office conditions. Flexibility to respond to issues during non-working hours as required. + + + + +Marine Transportation Security Clearance + +This position is required to access restricted areas/information. The incumbent must obtain and maintain a valid Marine Transportation Security Clearance as defined by the Marine Transportation Security Regulations. + + + + +This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada. Applicants selected to move forward in the hiring process may be subject to background checks, including but not limited to criminal record, credit, and/or reference checks. + + + + +At the Vancouver Fraser Port Authority, we are dedicated to employment equity and a workplace reflective of the diversity of our port community. We welcome applications from all qualified candidates including women, persons with disabilities, Indigenous peoples, and members of visible minorities. Reasonable accommodation can be provided in the selection process and while working with the port authority. If you require support applying to our openings, please contact us at careers@portvancouver.com. + + + + +We recognize and acknowledge that we are located on the traditional territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Nations. To learn more about our indigenous relations and commitment to reconciliation, please visit our website. + +Show more ","
+ + + + + +
+
+

JOIN US IN CHARTING A COURSE TO A MORE SUSTAINABLE FUTURE


Join an organization that plays a critical role in Canada’s economy. At the Vancouver Fraser Port Authority, we focus on doing the incredible work it takes to become the world’s most sustainable port.


The Vancouver Fraser Port Authority is responsible for the stewardship of the Port of Vancouver, Canada’s largest and most diversified port. Our mandate as a Canada Port Authority, as set out by the Canada Marine Act, is to enable Canada’s trade objectives, ensuring goods are moved safely and responsibly through the Port of Vancouver. That means providing infrastructure and ensuring the safe and efficient movement of marine traffic and cargo within the port. It also means we carry out reviews of proposed activities and developments on federal port lands and waters to determine whether a project can go ahead without impacts to the environment and community that cannot be mitigated.


We are committed to diversity, inclusion, and sustainability. We believe in creating a workplace that reflects the richness of our community and empowers all employees to reach their full potential.

The business intelligence analyst – BTO develops and implements visualizations and dashboards that provide actionable insights to the business. This role uses a blend of creative and technical skills to develop intuitive BI solutions that meet the needs of our users.


What You Do

  • Collaborate with business units to gather requirements, objectives, and KPIs, understand their reporting, data, and product needs, and identify data dependencies and relationships
  • Create appropriate datasets, data flows in Microsoft data platform based on the defined information architecture
  • Design and develop and deploy user-friendly, visually appealing BI dashboards and reports using BI tools such as Tableau or Power BI
  • Build and narrate data stories and guide in building PowerPoint decks
  • Provide technical expertise regarding the unique features and constraints of Power BI and related technologies, including best practice recommendations
  • Develop documentation, user guides, and training materials to support user adoption and customer service. Provide ongoing support, troubleshooting, and maintenance of workflows, addressing user-reported issues
  • Catalogue, develop and maintain operational reporting, dashboards and scorecards that track organization key metrics


What You Bring

  • Bachelor’s degree in data science, computer science, management information systems, or other relevant discipline
  • Minimum three (3) years of experience working with BI tools or any data-specific role, plus demonstrated experience of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing (OLAP)
  • Expertise in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, Power BI, and DAX is required
  • Experience in configuration of Microsoft Dynamics and Power Platforms is an asset
  • Experience in configuring, customizing, and extending Dynamics 365 CRM to meet business needs, including workflows, forms, entities, and plugins is an asset
  • Strong ability to discern trends and patterns from large amounts of raw data
  • Excellent analytic and problem-solving skills with the ability to take a thoughtful data driven approach to addressing workforce challenges
  • Must be able to deal with ambiguity and create processes and structure where it does not currently exist
  • Ability to maintain utmost confidentiality and work with restricted confidential data
  • Ability to quickly shape data in reporting and analytics solutions and perform testing to assure report and dashboard accuracy


What We Offer

We offer a robust total rewards package including:

  • Market-competitive base salaries and variable incentive plan
  • Generous and inclusive benefits offering including retirement benefits plan
  • Earned time off program
  • Paid vacation and personal care leave
  • Learning, development, and advancement opportunities
  • Onsite gym with towel service in a national landmark in the heart of Vancouver’s waterfront
  • Friendly, unique, and respectful workplace


Location: Vancouver, Canada


Job type: Bargaining Unit, Full-Time, Permanent, Hybrid


Working environment: Normal office conditions. Flexibility to respond to issues during non-working hours as required.


Marine Transportation Security Clearance

This position is required to access restricted areas/information. The incumbent must obtain and maintain a valid Marine Transportation Security Clearance as defined by the Marine Transportation Security Regulations.


This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada. Applicants selected to move forward in the hiring process may be subject to background checks, including but not limited to criminal record, credit, and/or reference checks.


At the Vancouver Fraser Port Authority, we are dedicated to employment equity and a workplace reflective of the diversity of our port community. We welcome applications from all qualified candidates including women, persons with disabilities, Indigenous peoples, and members of visible minorities. Reasonable accommodation can be provided in the selection process and while working with the port authority. If you require support applying to our openings, please contact us at careers@portvancouver.com.


We recognize and acknowledge that we are located on the traditional territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) Nations. To learn more about our indigenous relations and commitment to reconciliation, please visit our website.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3972787822,https://ca.linkedin.com/jobs/view/data-engineering-analyst-at-seaspan-ulc-3972787822?position=1&pageNum=5&refId=TOXVl6iXVxiSHLNbxNVgTw%3D%3D&trackingId=k9q%2FMCjyvX5MnM473Gm6Xw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineering Analyst,Seaspan ULC,"North Vancouver, British Columbia, Canada","Job Description + +Reporting to the Manager, Data and Digital Enablement, the Data Engineering Analystwill collaborate closely with the Data Architect to ensure the technical support and high availability of Seaspan Marine Group's data infrastructure within Microsoft's Azure cloud platform. This role will actively participate in maintaining and optimizing the organization’s data ecosystem. This includes a strong commitment to delivering exceptional client-centered service across all projects, spanning the creation, deployment, and implementation of new data products, as well as enhancements to existing infrastructure, solutions, and data operations processes. + +Note: This position qualifies for an optional hybrid work schedule after 90 days of onsite work and onboarding. Employee will be subject to the terms of the Flexible Work Policy Agreement. + +What You’ll Do + +Data Infrastructure Support + + +Assists in ensuring the technical support and high availability of Seaspan Marine Group's data infrastructure. +Collaborates with the Data Architect in designing, implementing, and optimizing scalable data infrastructure solutions within Microsoft's technology stack. +Contributes to monitoring, troubleshooting, and debugging issues affecting the performance of the data infrastructure and its assets. +Actively participates in root-cause analysis for incidents and contribute to lessons learned. +Supports the management and maintenance of the organization's data warehouse and lake house, ensuring its reliability, security, and operational efficiency. +Contributes to enhancing existing infrastructure, solutions, and processes to meet technical standards and address business requirements. + + + +ETL and Data Integration + + +Assists in the development and implementation of end-to-end ETL processes for data procurement and integration. +Collaborates with the team to continuously monitor, tune, and optimize the performance of data pipelines, databases, datasets, and their semantic layer. +Participates in defining and implementing efficient data engineering workflows. + + + +Data Modeling and Quality + + +Supports best practices in data modeling methodologies for the design and implementation of effective datasets. +Contributes to the establishment and enforcement of data quality standards and practices to ensure accuracy and reliability throughout the data life cycle. +Assists in implementing data quality monitoring, alerting, and profiling processes. +Collaborates with stakeholders to define and maintain data quality metrics and KPIs + + + +Documentation and Communication + + +Writes and maintain comprehensive documentation of the requirements collected, data infrastructure, data source catalogs, data models, ETL runbooks, and data quality standards. +Works closely with stakeholders to understand use cases and ensure developed data products meet their needs. +Assists in effective communication with technical and non-technical stakeholders, translating complex technical concepts into understandable terms. + + + +Project Collaboration + + +Supports the implementation of the Data and Digital Enablement Program’s roadmap. +Participates in Scrum ceremonies as part of the Data and Digital Enablement team. +Actively contributes on data engineering projects from conception to completion, ensuring alignment with business objectives. +Works towards maintaining high standards in Seaspan Marine Group’s data engineering processes, aligning with industry best practices. + + + +What You’ll Bring + + +Bachelor’s degree in computer science, Engineering, Business Administration, or completion of a Post-secondary Diploma in Computer Science. +Minimum 2-3 years of experience in cloud application implementation, application development, application integration, business analysis, or Relational Data modeling for OLTP and OLAP systems. +Familiarity with designing and building ETL mechanisms in Azure. +Proficiency in coding languages such as PowerShell, Python, SQL, Java, and Scala. +Exposure to Spark and Databricks in Azure is an asset. +Experience using IDEs such as VS or VS Code for development and Git for version control. +Familiarity with Azure DevOps and version control practices. +Understanding of data concepts, databases, data modeling, dimension modeling, change data capture, and star schema. +Experience with physical and logical design of database architectures for relational databases, data warehouses, and data lakes. +Knowledge of database optimization, data replication, database recovery, and performance tuning. +Solid working knowledge in SQL Server and TSQL. + + + +Why You’ll Love Working Here + + +In addition to an annual bonus and pension plan matching, this role provides you a very competitive salary in line with the successful candidate’s experience. +We also provide a best-in-class health and wellness benefits package for this position, including such things as full health care (e.g. unlimited physiotherapy), dental, vision, life insurance, medical leave coverage, parental leave coverage, childcare benefit partnership, wellness/fitness reimbursement for memberships or registration fees, and an Employee Family Assistance Program (EFAP). +Free on-site gym (insert in the benefits package sentence if this role is based out of Pemberton office) +Parking is included and to assist those that are using transit, we operate a complimentary shuttle bus Monday through Friday with various pick up and drop off points around North Vancouver. + + + +The estimated salary for this position is $69,300 - $84,700. In determining final salary, Seaspan considers many factors including the successful Candidate’s skillset and experience as well as position location and internal equity. The final base salary offer will be at the Company’s sole discretion and presented as part of a competitive total compensation package. + +About Us + +With more than 130 years of experience navigating in some of the world’s most complex and difficult waters, Seaspan Marine is the largest and most diverse tug & barge company on Canada’s West Coast. + +Seaspan is committed to Employment Equity, supports diversity in the workplace, and encourages applications from all qualified individuals including, women, members of visible minorities, Indigenous persons, and persons with disabilities. Furthermore, we are committed to providing an inclusive and accessible environment. If you require accommodation during the recruitment process, please let us know, and we will work with you to support your request. + + +Show more ","
+ + + + + +
+
+ Job Description

Reporting to the Manager, Data and Digital Enablement, the Data Engineering Analystwill collaborate closely with the Data Architect to ensure the technical support and high availability of Seaspan Marine Group's data infrastructure within Microsoft's Azure cloud platform. This role will actively participate in maintaining and optimizing the organization’s data ecosystem. This includes a strong commitment to delivering exceptional client-centered service across all projects, spanning the creation, deployment, and implementation of new data products, as well as enhancements to existing infrastructure, solutions, and data operations processes.

Note: This position qualifies for an optional hybrid work schedule after 90 days of onsite work and onboarding. Employee will be subject to the terms of the Flexible Work Policy Agreement.

What You’ll Do

Data Infrastructure Support

  • Assists in ensuring the technical support and high availability of Seaspan Marine Group's data infrastructure.
  • Collaborates with the Data Architect in designing, implementing, and optimizing scalable data infrastructure solutions within Microsoft's technology stack.
  • Contributes to monitoring, troubleshooting, and debugging issues affecting the performance of the data infrastructure and its assets.
  • Actively participates in root-cause analysis for incidents and contribute to lessons learned.
  • Supports the management and maintenance of the organization's data warehouse and lake house, ensuring its reliability, security, and operational efficiency.
  • Contributes to enhancing existing infrastructure, solutions, and processes to meet technical standards and address business requirements.


ETL and Data Integration

  • Assists in the development and implementation of end-to-end ETL processes for data procurement and integration.
  • Collaborates with the team to continuously monitor, tune, and optimize the performance of data pipelines, databases, datasets, and their semantic layer.
  • Participates in defining and implementing efficient data engineering workflows.


Data Modeling and Quality

  • Supports best practices in data modeling methodologies for the design and implementation of effective datasets.
  • Contributes to the establishment and enforcement of data quality standards and practices to ensure accuracy and reliability throughout the data life cycle.
  • Assists in implementing data quality monitoring, alerting, and profiling processes.
  • Collaborates with stakeholders to define and maintain data quality metrics and KPIs


Documentation and Communication

  • Writes and maintain comprehensive documentation of the requirements collected, data infrastructure, data source catalogs, data models, ETL runbooks, and data quality standards.
  • Works closely with stakeholders to understand use cases and ensure developed data products meet their needs.
  • Assists in effective communication with technical and non-technical stakeholders, translating complex technical concepts into understandable terms.


Project Collaboration

  • Supports the implementation of the Data and Digital Enablement Program’s roadmap.
  • Participates in Scrum ceremonies as part of the Data and Digital Enablement team.
  • Actively contributes on data engineering projects from conception to completion, ensuring alignment with business objectives.
  • Works towards maintaining high standards in Seaspan Marine Group’s data engineering processes, aligning with industry best practices.


What You’ll Bring

  • Bachelor’s degree in computer science, Engineering, Business Administration, or completion of a Post-secondary Diploma in Computer Science.
  • Minimum 2-3 years of experience in cloud application implementation, application development, application integration, business analysis, or Relational Data modeling for OLTP and OLAP systems.
  • Familiarity with designing and building ETL mechanisms in Azure.
  • Proficiency in coding languages such as PowerShell, Python, SQL, Java, and Scala.
  • Exposure to Spark and Databricks in Azure is an asset.
  • Experience using IDEs such as VS or VS Code for development and Git for version control.
  • Familiarity with Azure DevOps and version control practices.
  • Understanding of data concepts, databases, data modeling, dimension modeling, change data capture, and star schema.
  • Experience with physical and logical design of database architectures for relational databases, data warehouses, and data lakes.
  • Knowledge of database optimization, data replication, database recovery, and performance tuning.
  • Solid working knowledge in SQL Server and TSQL.


Why You’ll Love Working Here

  • In addition to an annual bonus and pension plan matching, this role provides you a very competitive salary in line with the successful candidate’s experience.
  • We also provide a best-in-class health and wellness benefits package for this position, including such things as full health care (e.g. unlimited physiotherapy), dental, vision, life insurance, medical leave coverage, parental leave coverage, childcare benefit partnership, wellness/fitness reimbursement for memberships or registration fees, and an Employee Family Assistance Program (EFAP).
  • Free on-site gym (insert in the benefits package sentence if this role is based out of Pemberton office)
  • Parking is included and to assist those that are using transit, we operate a complimentary shuttle bus Monday through Friday with various pick up and drop off points around North Vancouver.


The estimated salary for this position is $69,300 - $84,700. In determining final salary, Seaspan considers many factors including the successful Candidate’s skillset and experience as well as position location and internal equity. The final base salary offer will be at the Company’s sole discretion and presented as part of a competitive total compensation package.

About Us

With more than 130 years of experience navigating in some of the world’s most complex and difficult waters, Seaspan Marine is the largest and most diverse tug & barge company on Canada’s West Coast.

Seaspan is committed to Employment Equity, supports diversity in the workplace, and encourages applications from all qualified individuals including, women, members of visible minorities, Indigenous persons, and persons with disabilities. Furthermore, we are committed to providing an inclusive and accessible environment. If you require accommodation during the recruitment process, please let us know, and we will work with you to support your request.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3991271376,https://ca.linkedin.com/jobs/view/remote-data-analyst-rebel-apparel-at-bcjobs-3991271376?position=2&pageNum=5&refId=TOXVl6iXVxiSHLNbxNVgTw%3D%3D&trackingId=WQVHk9h3tXQ3ZikFLz4EOA%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Data Analyst (Rebel Apparel),BCJobs,"Vancouver, British Columbia, Canada","Job Description: Rebel Apparel Inc. is seeking a skilled Remote Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. Your primary focus will be to develop, implement, and maintain databases, data collection systems, and analytics tools that optimize statistical efficiency and quality. The ideal candidate will have a strong ability to analyze trends and provide actionable insights to enhance decision-making processes across the organization. + +Responsibilities + + +Interpret data, analyze results using statistical techniques, and provide ongoing reports. +Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. +Acquire data from primary or secondary data sources and maintain databases/data systems. +Identify, analyze, and interpret trends or patterns in complex data sets. +Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. +Work closely with management to prioritize business and information needs. +Locate and define new process improvement opportunities. + + +Requirements + + +Proven working experience as a Data Analyst or Business Data Analyst. +Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. +Technical expertise regarding data models, database design development, data mining, and segmentation techniques. +Strong knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL, etc.), programming (XML, Javascript, or ETL frameworks), and data visualization tools (Tableau, Power BI, etc.). +Adept at queries, report writing, and presenting findings. +Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. + + +Preferred Qualifications + + +Proven experience working in an e-commerce or retail environment. +Advanced degree in a related field. +Certification in Data Analytics. + + +Join Rebel Apparel Inc. and help us redefine the future of fashion through data-driven insights and innovation. Apply now to become a part of our passionate team! + +Value +Show more ","
+ + + + + +
+
+ Job Description: Rebel Apparel Inc. is seeking a skilled Remote Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. Your primary focus will be to develop, implement, and maintain databases, data collection systems, and analytics tools that optimize statistical efficiency and quality. The ideal candidate will have a strong ability to analyze trends and provide actionable insights to enhance decision-making processes across the organization.

Responsibilities

  • Interpret data, analyze results using statistical techniques, and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
  • Work closely with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.

Requirements

  • Proven working experience as a Data Analyst or Business Data Analyst.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
  • Strong knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL, etc.), programming (XML, Javascript, or ETL frameworks), and data visualization tools (Tableau, Power BI, etc.).
  • Adept at queries, report writing, and presenting findings.
  • Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.

Preferred Qualifications

  • Proven experience working in an e-commerce or retail environment.
  • Advanced degree in a related field.
  • Certification in Data Analytics.

Join Rebel Apparel Inc. and help us redefine the future of fashion through data-driven insights and innovation. Apply now to become a part of our passionate team!

Value +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3988621279,https://ca.linkedin.com/jobs/view/advanced-data-analyst-frostbite-at-frostbite-3988621279?position=3&pageNum=5&refId=TOXVl6iXVxiSHLNbxNVgTw%3D%3D&trackingId=wpr%2BF9W%2F7SpyzYZxTMHFsQ%3D%3D&trk=public_jobs_jserp-result_search-card,Advanced Data Analyst - Frostbite,Frostbite,"Vancouver, British Columbia, Canada","Frostbite is EA's state-of-the-art multi-platform game development engine. Our global team empowers game creators to shape the future of gaming by developing creative engine features and outstanding tools. We are honoured to have thousands of game developers all over the world using Frostbite to create some of the most amazing games and player experiences in the industry. + +The Frostbite team is working on a wide array of projects to support the needs of our game developers. As an Advanced Data Analyst, reporting to the Director of Analytics, you will work with the Frostbite Operations team to improve the efficiency of our business operations. You will use your analytical skills to transform the operational needs of the business into insights and influence how Frostbite helps EA make amazing games. + +You will.. + + +You will work with the Sr. Operations Manager of the Frostbite team to tell a story with high-dimensionality data from multiple sources by using different tools and data analysis techniques. +You will perform data-gap analysis on the data generated by the business processes to identify improvements in the existing data and define new data to be captured. +You will design data models that capture all the essential data generated by the business processes. +You will determine important metrics that provide feedback on the efficacy of the business. +You will prepare detailed reports that help the business monitor the processes and identify new areas of opportunity to improve the impact of their products and services. +You will evaluate, interpret, and present data to find risks and opportunities to improve our service. +You will conduct statistical analysis for identifying patterns and trends, hypothesis testing, prediction, or inference. + + +You bring... + + +7+ years of work experience in a past analytical role, 3+ years of verifiable work experience in the field of business operations, using data to create operational improvements. +Bachelor's degree in a technical field (Computer Science, Statistics, Engineering, Mathematics, or Economics) or completion of post- secondary level Math and Statistics courses. +Experience of Microsoft Power BI or other comparable BI tool. +Proficient in SQL and Python. +Hands-on experience with Databricks technology and Cloud Computing platforms (i.e. Azure, AWS, or GCP). + + +Soft Skills + + +Be able to engage with both senior business management and technical people when discussing data analysis needs or findings. +Can move beyond data by translating customer needs into user requirements. + + +Bc Compensation And Benefits + +The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location. + +EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs. + +BASE SALARY RANGES + + +British Columbia (depending on location e.g. Vancouver vs. Victoria): + + +º $107,600 - $147,100 CAN Annually + +Base salary is just one part of the overall compensation at EA. We also offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. +Show more ","
+ + + + + +
+
+ Frostbite is EA's state-of-the-art multi-platform game development engine. Our global team empowers game creators to shape the future of gaming by developing creative engine features and outstanding tools. We are honoured to have thousands of game developers all over the world using Frostbite to create some of the most amazing games and player experiences in the industry.

The Frostbite team is working on a wide array of projects to support the needs of our game developers. As an Advanced Data Analyst, reporting to the Director of Analytics, you will work with the Frostbite Operations team to improve the efficiency of our business operations. You will use your analytical skills to transform the operational needs of the business into insights and influence how Frostbite helps EA make amazing games.

You will..

  • You will work with the Sr. Operations Manager of the Frostbite team to tell a story with high-dimensionality data from multiple sources by using different tools and data analysis techniques.
  • You will perform data-gap analysis on the data generated by the business processes to identify improvements in the existing data and define new data to be captured.
  • You will design data models that capture all the essential data generated by the business processes.
  • You will determine important metrics that provide feedback on the efficacy of the business.
  • You will prepare detailed reports that help the business monitor the processes and identify new areas of opportunity to improve the impact of their products and services.
  • You will evaluate, interpret, and present data to find risks and opportunities to improve our service.
  • You will conduct statistical analysis for identifying patterns and trends, hypothesis testing, prediction, or inference.

You bring...

  • 7+ years of work experience in a past analytical role, 3+ years of verifiable work experience in the field of business operations, using data to create operational improvements.
  • Bachelor's degree in a technical field (Computer Science, Statistics, Engineering, Mathematics, or Economics) or completion of post- secondary level Math and Statistics courses.
  • Experience of Microsoft Power BI or other comparable BI tool.
  • Proficient in SQL and Python.
  • Hands-on experience with Databricks technology and Cloud Computing platforms (i.e. Azure, AWS, or GCP).

Soft Skills

  • Be able to engage with both senior business management and technical people when discussing data analysis needs or findings.
  • Can move beyond data by translating customer needs into user requirements.

Bc Compensation And Benefits

The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location.

EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs.

BASE SALARY RANGES

  • British Columbia (depending on location e.g. Vancouver vs. Victoria):

º $107,600 - $147,100 CAN Annually

Base salary is just one part of the overall compensation at EA. We also offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3984128906,https://ca.linkedin.com/jobs/view/data-quality-governance-analyst-informatica-bhjob13022-13325-at-ignite-technical-resources-3984128906?position=2&pageNum=7&refId=xC4ZxzG4jxx14ACQ%2BknmRg%3D%3D&trackingId=jSlIQ4G5ohLbaxM91cmNCA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Quality & Governance Analyst (Informatica) [BHJOB13022_13325],Ignite Technical Resources,"Surrey, British Columbia, Canada","On behalf of our client based in Surrey, BC, Ignite Technical Resources is an experienced Senior Data Engineer (IICS), to join our client’s team for a 6 Month contract. Preference for BC based candidates. + +Description + +This role has a data governance lens and would work with the business requirements, perform data profiling, and build data quality scorecards. + +This role is responsible for the governance around the design and development of the Enterprise Analytics Data Warehouse and reporting environment, taking business reporting requirements and working with the data architect, platform engineering, DBA, and data governance teams to design governance and data quality rules on top of the ingestion mechanisms, process and built on the analytical layer of the Enterprise Data Warehouse (EDW) to serve the needs to data analysts and end users. + +The role is responsible for designing and building all governance processes required around extracting data from source systems, transforming it according to business rules, and load it into appropriate data models. They would work with the business to understand their data governance requirements and helping them be brought to life. + +Must Have Skills + + +Experience with any Data quality tool. +Experience with operationalizing data quality management. +Data warehousing experience. +Informatica data quality. +Understands ETL Design and Development patterns. +Data profiling and SQL. +Understands Analytical models and Dimensional modelling. +Building Diagrams and solutions. + + +Nice To Have + + +Informatica intelligent cloud services (IICS). +Informatica MDM (Master Data Management). +AWS Lambda. +Python for data wrangling and data processing. +AWS: S3, Redshift, Athena +Financial Services Experience. + + +About Ignite Technical: Based in Vancouver and proudly Canadian, Ignite Technical Resources has been providing Top Technical Talent to organizations across Canada since 2005. + +Equal Opportunity Employer: Ignite Technical is an equal opportunity employer and is committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, disability, gender identity, national origin, or age. + +Work Permits: Please note that Ignite’s Clients require all interested candidates to obtain the necessary work permits from the Government of Canada prior to submitting an application. This position is open exclusively to individuals residing in Canada and legally authorized to work in Canada. Applications not meeting these criteria will not be considered. + +Further Consideration: We receive a high volume of applications and are only able to contact candidates who are selected for further consideration. + +Follow Us: Check us out on LinkedIn and follow us on Twitter and Threads for company updates and job postings! + +Ignite. Wired for People. + +About Ignite Technical + +Founded in 2005 and headquartered in Vancouver BC, Ignite Technical Resources has been the preferred IT Staffing provider for many of Canada’s largest and well-known organizations for nearly 20 years. By specializing in Information Technology, we ensure that our processes are focused exclusively on providing qualified IT Professionals and our commitment to speed ensures your teams and projects are staffed quickly and efficiently. Our years of experience provide us with one of the most well-developed networks of candidates in the Canadian market. Come see why Ignite Technical is one of Canada’s premier providers of IT Professionals On-Demand. Ignite Technical Resources. Wired for People. +Show more ","
+ + + + + +
+
+ On behalf of our client based in Surrey, BC, Ignite Technical Resources is an experienced Senior Data Engineer (IICS), to join our client’s team for a 6 Month contract. Preference for BC based candidates.

Description

This role has a data governance lens and would work with the business requirements, perform data profiling, and build data quality scorecards.

This role is responsible for the governance around the design and development of the Enterprise Analytics Data Warehouse and reporting environment, taking business reporting requirements and working with the data architect, platform engineering, DBA, and data governance teams to design governance and data quality rules on top of the ingestion mechanisms, process and built on the analytical layer of the Enterprise Data Warehouse (EDW) to serve the needs to data analysts and end users.

The role is responsible for designing and building all governance processes required around extracting data from source systems, transforming it according to business rules, and load it into appropriate data models. They would work with the business to understand their data governance requirements and helping them be brought to life.

Must Have Skills

  • Experience with any Data quality tool.
  • Experience with operationalizing data quality management.
  • Data warehousing experience.
  • Informatica data quality.
  • Understands ETL Design and Development patterns.
  • Data profiling and SQL.
  • Understands Analytical models and Dimensional modelling.
  • Building Diagrams and solutions.

Nice To Have

  • Informatica intelligent cloud services (IICS).
  • Informatica MDM (Master Data Management).
  • AWS Lambda.
  • Python for data wrangling and data processing.
  • AWS: S3, Redshift, Athena
  • Financial Services Experience.

About Ignite Technical: Based in Vancouver and proudly Canadian, Ignite Technical Resources has been providing Top Technical Talent to organizations across Canada since 2005.

Equal Opportunity Employer: Ignite Technical is an equal opportunity employer and is committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, disability, gender identity, national origin, or age.

Work Permits: Please note that Ignite’s Clients require all interested candidates to obtain the necessary work permits from the Government of Canada prior to submitting an application. This position is open exclusively to individuals residing in Canada and legally authorized to work in Canada. Applications not meeting these criteria will not be considered.

Further Consideration: We receive a high volume of applications and are only able to contact candidates who are selected for further consideration.

Follow Us: Check us out on LinkedIn and follow us on Twitter and Threads for company updates and job postings!

Ignite. Wired for People.

About Ignite Technical

Founded in 2005 and headquartered in Vancouver BC, Ignite Technical Resources has been the preferred IT Staffing provider for many of Canada’s largest and well-known organizations for nearly 20 years. By specializing in Information Technology, we ensure that our processes are focused exclusively on providing qualified IT Professionals and our commitment to speed ensures your teams and projects are staffed quickly and efficiently. Our years of experience provide us with one of the most well-developed networks of candidates in the Canadian market. Come see why Ignite Technical is one of Canada’s premier providers of IT Professionals On-Demand. Ignite Technical Resources. Wired for People. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] diff --git a/data/data_scientist_20240806.csv b/data/data_scientist_20240806.csv new file mode 100644 index 0000000..a6396c4 --- /dev/null +++ b/data/data_scientist_20240806.csv @@ -0,0 +1,22427 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +3987011975,https://de.linkedin.com/jobs/view/junior-data-scientist-m-f-d-at-zdf-sparks-3987011975?position=1&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=%2FbKvLKtgMc%2BDakSXK1mW9w%3D%3D&trk=public_jobs_jserp-result_search-card,(Junior) Data Scientist (m/f/d),ZDF Sparks,"Berlin, Berlin, Germany","Excited about AI? + +Join us at ZDF Sparks and be part of an exciting journey in AI innovation! We are looking for a full-time (Junior) Data Scientist (m/f/d) for our location in Berlin in a hybrid set-up at the earliest possible starting date. + +Your Role + +Work with the senior data science and ML teams with + + +design, review, implementation and modernization of data systems, solutions and algorithms from data analytics to advanced AI/ML solutions  +Work with structured and unstructured data, their preprocessing and visualization +Help to train new models for various use cases from POC to production  +Work on solutions across multiple media formats such as text, image, audio and video +Open source algorithms and make AI explainable for larger audiences + + +Your Profile + + +Basic skills in Python, including data manipulation and analysis with pandas and NumPy, and data visualization using Matplotlib and Seaborn. +Basic knowledge of machine learning libraries such as scikit-learn, and experience with Jupyter Notebooks and LangChain or similar libraries. +Hands-on experience in data analytics, visualization, and pre-processing tasks. +Initial experience or strong interest in designing and implementing algorithms and building generative AI applications. +Strong interest in working at the intersection of consultancy business and technology, and in learning advanced data modeling skills. +Excellent communication skills in English and preferably in German, to effectively interact with team members, stakeholders, and clients. + + +Our Commitment To You + +ZDF Sparks is a workplace for curious, ambitious, and collaborative AI trendsetters who are excited about working on new and continuously changing customer challenges. We proudly embrace diversity and enjoy working in fast-paced cross-functional and multicultural teams. + +Our hybrid office and mobile work model is designed to support personal flexibility and creativity, enabling a healthy work-life balance. In our centrally located Berlin top-floor office, we enjoy modern spaces with ergonomic workstations grouped to facilitate personal exchange and knowledge sharing, as well as closed rooms for larger meetings and quiet work. + +We network with our ZDF office partners and visitors over lunches, talks, and afterwork get-together events; and engage in fun team activities during regular company events. + +To support your professional growth, we offer opportunities for further education through external monthly workshops and hackathons, and networking events. Additionally, the 30-day vacation rounds up the year to relax off the job. + +Our Values + +At ZDF Sparks, our values are the cornerstone of everything we do: + + +Transparent: We believe in clear, open communication both within our team and with our clients. Your insights and knowledge will be valued and shared to drive collective success. +Fun: We believe that work should be enjoyable and fulfilling. At ZDF Sparks, we maintain a light-hearted atmosphere with humor and a relaxed communication style among colleagues. This fosters a positive environment where everyone feels comfortable and motivated to contribute their best, ensuring our collaborative efforts are both productive and enjoyable. +Diverse: Our strength lies in our diverse team. Different perspectives and backgrounds drive our creativity and innovation, ensuring that our AI solutions are comprehensive and inclusive. By integrating different points of view, our collaborative team develops AI that reflects various experiences and meets the diverse needs of our clients. +Innovative: We live and breathe innovation, continuously learning and pushing boundaries to deliver cutting-edge AI solutions. + + +Any Questions? + +Your contact person is: Nilofer Qayumi (Senior Technical Recruiter) + +For any questions about the job advertisement and the application process, please contact career@zdf-sparks.com. + +We look forward to getting to know you! + +At ZDF Sparks, diversity drives our innovation and strengthens our team. We are committed to creating an inclusive environment where every individual feels valued and respected. We welcome applications from all qualified candidates, regardless of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other legally protected status. + +About Us + +ZDF Sparks was founded in 2024 - our data experts are an agile team dedicated to the development of AI solutions and algorithms for the media industry. We are focused on consulting, design and implementation of AI services, especially in the areas of algorithms, machine learning and data platforms for planning, communication, distribution and personalization of data and audiovisual content. + +We are the perfect place for curious, ambitious and collaborative AI trendsetters who are excited about working on new and changing challenges. We enjoy working in our fast-paced, cross-functional and diverse team where everyone feels comfortable and can fulfill their full potential. +Show more ","
+ + + + + +
+
+ Excited about AI?

Join us at ZDF Sparks and be part of an exciting journey in AI innovation! We are looking for a full-time (Junior) Data Scientist (m/f/d) for our location in Berlin in a hybrid set-up at the earliest possible starting date.

Your Role

Work with the senior data science and ML teams with

  • design, review, implementation and modernization of data systems, solutions and algorithms from data analytics to advanced AI/ML solutions 
  • Work with structured and unstructured data, their preprocessing and visualization
  • Help to train new models for various use cases from POC to production 
  • Work on solutions across multiple media formats such as text, image, audio and video
  • Open source algorithms and make AI explainable for larger audiences

Your Profile

  • Basic skills in Python, including data manipulation and analysis with pandas and NumPy, and data visualization using Matplotlib and Seaborn.
  • Basic knowledge of machine learning libraries such as scikit-learn, and experience with Jupyter Notebooks and LangChain or similar libraries.
  • Hands-on experience in data analytics, visualization, and pre-processing tasks.
  • Initial experience or strong interest in designing and implementing algorithms and building generative AI applications.
  • Strong interest in working at the intersection of consultancy business and technology, and in learning advanced data modeling skills.
  • Excellent communication skills in English and preferably in German, to effectively interact with team members, stakeholders, and clients.

Our Commitment To You

ZDF Sparks is a workplace for curious, ambitious, and collaborative AI trendsetters who are excited about working on new and continuously changing customer challenges. We proudly embrace diversity and enjoy working in fast-paced cross-functional and multicultural teams.

Our hybrid office and mobile work model is designed to support personal flexibility and creativity, enabling a healthy work-life balance. In our centrally located Berlin top-floor office, we enjoy modern spaces with ergonomic workstations grouped to facilitate personal exchange and knowledge sharing, as well as closed rooms for larger meetings and quiet work.

We network with our ZDF office partners and visitors over lunches, talks, and afterwork get-together events; and engage in fun team activities during regular company events.

To support your professional growth, we offer opportunities for further education through external monthly workshops and hackathons, and networking events. Additionally, the 30-day vacation rounds up the year to relax off the job.

Our Values

At ZDF Sparks, our values are the cornerstone of everything we do:

  • Transparent: We believe in clear, open communication both within our team and with our clients. Your insights and knowledge will be valued and shared to drive collective success.
  • Fun: We believe that work should be enjoyable and fulfilling. At ZDF Sparks, we maintain a light-hearted atmosphere with humor and a relaxed communication style among colleagues. This fosters a positive environment where everyone feels comfortable and motivated to contribute their best, ensuring our collaborative efforts are both productive and enjoyable.
  • Diverse: Our strength lies in our diverse team. Different perspectives and backgrounds drive our creativity and innovation, ensuring that our AI solutions are comprehensive and inclusive. By integrating different points of view, our collaborative team develops AI that reflects various experiences and meets the diverse needs of our clients.
  • Innovative: We live and breathe innovation, continuously learning and pushing boundaries to deliver cutting-edge AI solutions.

Any Questions?

Your contact person is: Nilofer Qayumi (Senior Technical Recruiter)

For any questions about the job advertisement and the application process, please contact career@zdf-sparks.com.

We look forward to getting to know you!

At ZDF Sparks, diversity drives our innovation and strengthens our team. We are committed to creating an inclusive environment where every individual feels valued and respected. We welcome applications from all qualified candidates, regardless of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other legally protected status.

About Us

ZDF Sparks was founded in 2024 - our data experts are an agile team dedicated to the development of AI solutions and algorithms for the media industry. We are focused on consulting, design and implementation of AI services, especially in the areas of algorithms, machine learning and data platforms for planning, communication, distribution and personalization of data and audiovisual content.

We are the perfect place for curious, ambitious and collaborative AI trendsetters who are excited about working on new and changing challenges. We enjoy working in our fast-paced, cross-functional and diverse team where everyone feels comfortable and can fulfill their full potential. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3860352398,https://de.linkedin.com/jobs/view/senior-data-scientists-based-in-luxembourg-at-european-investment-bank-eib-3860352398?position=4&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=QiCe60TR9TcCcWzZnsbyOg%3D%3D&trk=public_jobs_jserp-result_search-card,(Senior) Data Scientists - based in Luxembourg,European Investment Bank (EIB),"Berlin, Berlin, Germany","The positions are based at our Luxembourg headquarters and require regular office presence. The EIB offers you the opportunity to live and work in a truly international and multi-cultural environment. We also offer relocation support. + +The EIB, the European Union's bank, is seeking to recruit for its Group Corporate Services Directorate - Group Digital Office (GCS-GDO) – Data & Information Solutions Department (DIS) - Data Management Division (DM) - Analytics & Reporting Solutions Unit (A&R) at its headquarters in Luxembourg, (Senior) Data Scientists*. + +These are full-time positions at grade 5/6 for which the EIB offers a permanent contract. + + +internal benchmark: (Senior) IT Applications Officer + + +Purpose + +You want to be part of our AI innovation lab to build the future using cutting-edge technologies such as deep learning, natural language processing and computer vision. We are looking for excellent team spirit, proactive attitude, as well as a passion for data…. As a member of our lab, you will have the opportunity to promote the latest advancements in the AI industry and deliver AI-powered solutions across various business domains. You will also work with a diverse and talented team of researchers, engineers and analysts who share the same passion and enthusiasm. + +Operating Network + +You will report to the Head of Unit and work in close cooperation with other IT units and counterparties from all directorates using AI services and solutions. There will be a lot of interaction with key stakeholders such as software vendors, providers of outsourced services, peer groups, consultants in order to optimise service levels and stay abreast of best practice. + +Accountabilities + + +Establish a governance framework with the user community to ensure an effective use of the AI solutions & services within the organisation. Monitor its applicability’s and propose improvements to maximize value. +Collaborate with cross-functional teams to identify business challenges and opportunities where AI solutions can provide strategic value within the banking domain. +Design and conduct experiments to validate model performance, accuracy, and robustness, ensuring the highest quality of AI solutions. +Analyse business specifications, implement and deploy machine learning models and AI algorithms to extract insights, enhance decision-making processes, and automate tasks in accordance with the IT policies. +Collaborate with other IT teams to integrate AI solutions seamlessly into existing IT landscape and processes. +Ensure compliance with regulatory guidelines such AI Act and data security standards while handling sensitive customer information. + + +Qualifications + + +University degree (minimum an equivalent to a Bachelor) preferably in Data Science, Computer Science, Information Technology, Physics, Mathematics, Statistics, or related quantitative field +At least 5 years’ of IT professional experience with at least 2 years in building and deploying AI/ML/GenAI solutions +Python programming experience with machine learning libraries such as scikit-learn, XGboost, Keras, Pytorch, Spacy or equivalent +Experience with SQL and NoSQL databases +Experience with implementation NLP and LLM based solutions using models like transformers, GPT 3.5,4 or Langchain or equivalent +Experience in Front-end development with Next.js, React is an advantage +In-depth understanding of machine learning techniques, probabilistic modelling, natural language processing +Knowledge of cloud technologies, such as Microsoft Azure Cloud, AWS or Databricks +Familiarity with banking and financial data structures, as well as an understanding of regulatory requirements and challenges within the industry would be an asset +Good knowledge of project management principles, methods, and practices +Excellent knowledge of English and/or French (*), with a good command of the other. Knowledge of other EU languages would be an advantage. + + +Competencies + +Find out more about EIB core competencies here + +(*) Unless stated explicitly as a required qualification, a good command of French is not a pre-requisite for hire. As both English and French are however official working languages of the EIB, proficiency in both languages is a pre-requisite for your future career development. Any language clause in your contract must be fulfilled in order for you to be eligible for a promotion (either via the annual appraisal cycle or via an internal selection process). Proficiency is understood to mean the attainment of level 5 of the Inter Institutional language courses, corresponding to B1.2 of the Common European Framework of Reference for Languages (CEFRL). The Bank offers appropriate training support. + +We are an equal opportunities employer, who believes that diversity is good for our people and our business. We encourage all suitably qualified and eligible candidates to apply regardless of their gender identity/expression, age, racial, ethnic and cultural background, religion and beliefs, sexual orientation/identity, disability or neurodiversity. + +Applicants with specific needs are encouraged to request reasonable accommodations at any stage during the recruitment process. Please contact the EIB Recruitment team Jobs@eib.org who will ensure that your request is handled. + +By applying for this position, you acknowledge the importance of maintaining the security and integrity of the Information of the EIB Group. In case of selection for the position you agree to comply with all measures (policies, controls, document classification and management) implemented by the EIB Group to prevent unauthorised disclosure of any information or any damage to the EIB Group reputation. + +Deadline for applications: This is an open campaign to consecutively fill open positions. The campaign will remain open until position is filled. Applications will be reviewed in order of receipt. + + +Show more ","
+ + + + + +
+
+ The positions are based at our Luxembourg headquarters and require regular office presence. The EIB offers you the opportunity to live and work in a truly international and multi-cultural environment. We also offer relocation support.

The EIB, the European Union's bank, is seeking to recruit for its Group Corporate Services Directorate - Group Digital Office (GCS-GDO) – Data & Information Solutions Department (DIS) - Data Management Division (DM) - Analytics & Reporting Solutions Unit (A&R) at its headquarters in Luxembourg, (Senior) Data Scientists*.

These are full-time positions at grade 5/6 for which the EIB offers a permanent contract.

  • internal benchmark: (Senior) IT Applications Officer

Purpose

You want to be part of our AI innovation lab to build the future using cutting-edge technologies such as deep learning, natural language processing and computer vision. We are looking for excellent team spirit, proactive attitude, as well as a passion for data…. As a member of our lab, you will have the opportunity to promote the latest advancements in the AI industry and deliver AI-powered solutions across various business domains. You will also work with a diverse and talented team of researchers, engineers and analysts who share the same passion and enthusiasm.

Operating Network

You will report to the Head of Unit and work in close cooperation with other IT units and counterparties from all directorates using AI services and solutions. There will be a lot of interaction with key stakeholders such as software vendors, providers of outsourced services, peer groups, consultants in order to optimise service levels and stay abreast of best practice.

Accountabilities

  • Establish a governance framework with the user community to ensure an effective use of the AI solutions & services within the organisation. Monitor its applicability’s and propose improvements to maximize value.
  • Collaborate with cross-functional teams to identify business challenges and opportunities where AI solutions can provide strategic value within the banking domain.
  • Design and conduct experiments to validate model performance, accuracy, and robustness, ensuring the highest quality of AI solutions.
  • Analyse business specifications, implement and deploy machine learning models and AI algorithms to extract insights, enhance decision-making processes, and automate tasks in accordance with the IT policies.
  • Collaborate with other IT teams to integrate AI solutions seamlessly into existing IT landscape and processes.
  • Ensure compliance with regulatory guidelines such AI Act and data security standards while handling sensitive customer information.

Qualifications

  • University degree (minimum an equivalent to a Bachelor) preferably in Data Science, Computer Science, Information Technology, Physics, Mathematics, Statistics, or related quantitative field
  • At least 5 years’ of IT professional experience with at least 2 years in building and deploying AI/ML/GenAI solutions
  • Python programming experience with machine learning libraries such as scikit-learn, XGboost, Keras, Pytorch, Spacy or equivalent
  • Experience with SQL and NoSQL databases
  • Experience with implementation NLP and LLM based solutions using models like transformers, GPT 3.5,4 or Langchain or equivalent
  • Experience in Front-end development with Next.js, React is an advantage
  • In-depth understanding of machine learning techniques, probabilistic modelling, natural language processing
  • Knowledge of cloud technologies, such as Microsoft Azure Cloud, AWS or Databricks
  • Familiarity with banking and financial data structures, as well as an understanding of regulatory requirements and challenges within the industry would be an asset
  • Good knowledge of project management principles, methods, and practices
  • Excellent knowledge of English and/or French (*), with a good command of the other. Knowledge of other EU languages would be an advantage.

Competencies

Find out more about EIB core competencies here

(*) Unless stated explicitly as a required qualification, a good command of French is not a pre-requisite for hire. As both English and French are however official working languages of the EIB, proficiency in both languages is a pre-requisite for your future career development. Any language clause in your contract must be fulfilled in order for you to be eligible for a promotion (either via the annual appraisal cycle or via an internal selection process). Proficiency is understood to mean the attainment of level 5 of the Inter Institutional language courses, corresponding to B1.2 of the Common European Framework of Reference for Languages (CEFRL). The Bank offers appropriate training support.

We are an equal opportunities employer, who believes that diversity is good for our people and our business. We encourage all suitably qualified and eligible candidates to apply regardless of their gender identity/expression, age, racial, ethnic and cultural background, religion and beliefs, sexual orientation/identity, disability or neurodiversity.

Applicants with specific needs are encouraged to request reasonable accommodations at any stage during the recruitment process. Please contact the EIB Recruitment team Jobs@eib.org who will ensure that your request is handled.

By applying for this position, you acknowledge the importance of maintaining the security and integrity of the Information of the EIB Group. In case of selection for the position you agree to comply with all measures (policies, controls, document classification and management) implemented by the EIB Group to prevent unauthorised disclosure of any information or any damage to the EIB Group reputation.

Deadline for applications: This is an open campaign to consecutively fill open positions. The campaign will remain open until position is filled. Applications will be reviewed in order of receipt.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3985367773,https://de.linkedin.com/jobs/view/react-js-developer-m-f-d-at-expertry-3985367773?position=5&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=ta%2Bei2uxrIh3JpEOeuz6YA%3D%3D&trk=public_jobs_jserp-result_search-card,React.js Developer (m/f/d),Expertry,"Berlin, Germany","About us + + + + +We are an innovative company in the HR industry, dedicated to shaping the future of workforce management. To strengthen our team, we are seeking an experienced React.js Developer (m/f/d) to collaborate closely with our Java Backend Developer in transforming our monolithic web application into a modern microservices-based architecture. + +Qualifications + + + + +Must have + + + + +Strong knowledge of REST. +Experience in writing unit tests. +Ability to set up a web application from scratch. +Define code structures for efficient development. +Good English skills, as the team is internationally oriented. +Minimum of 3 years of experience as a React.js Developer. +Knowledge in HR (Human Resources). +Experience in restructuring monolithic applications into microservices. + + + + +Tasks + + + + +Collaborate closely with the Java Backend Developer to break down the monolith and build microservices using REST. +Refactor frontend components based on UX/UI requirements. +Implement test infrastructure and write tests. + + + + +Benefits + + + + +Exciting projects in an agile environment. +The opportunity to actively participate in the transformation of our web application. +An international team of experienced developers. +Continuous training opportunities and room for personal development. + +Show more ","
+ + + + + +
+
+

About us


We are an innovative company in the HR industry, dedicated to shaping the future of workforce management. To strengthen our team, we are seeking an experienced React.js Developer (m/f/d) to collaborate closely with our Java Backend Developer in transforming our monolithic web application into a modern microservices-based architecture.

Qualifications


Must have


  • Strong knowledge of REST.
  • Experience in writing unit tests.
  • Ability to set up a web application from scratch.
  • Define code structures for efficient development.
  • Good English skills, as the team is internationally oriented.
  • Minimum of 3 years of experience as a React.js Developer.
  • Knowledge in HR (Human Resources).
  • Experience in restructuring monolithic applications into microservices.


Tasks


  • Collaborate closely with the Java Backend Developer to break down the monolith and build microservices using REST.
  • Refactor frontend components based on UX/UI requirements.
  • Implement test infrastructure and write tests.


Benefits


  • Exciting projects in an agile environment.
  • The opportunity to actively participate in the transformation of our web application.
  • An international team of experienced developers.
  • Continuous training opportunities and room for personal development.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-27,[] +3993817403,https://de.linkedin.com/jobs/view/data-scientist-mobile-games-at-carry1st-3993817403?position=6&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=E9wfVeOiHhsyOZyjTt1ksA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Mobile Games,Carry1st,"Berlin, Berlin, Germany","Carry1st is Africa's leading publisher of mobile games and digital content. Operating at the intersection of games, publishing, and fintech, we scale awesome content in frontier markets by solving hard problems. Across our publishing and Pay1st business lines, we are partnered with top global game companies like Riot Games, Activision, and Stillfront. We are backed by top investors like: a16z, Bitkraft, Google, Konvoy, Riot Games, Sony and Nas. + +As Sr Data Scientist, you will be responsible for driving enjoyable player experiences and sustainable player LTV. You will translate in-game behavioural data, progression trends, and purchase propensities into segmentations and models for LiveOps personalisation and UA optimisation. + +You will be involved in simulating game engagement and game economy - supporting our Product teams in driving game evolution to success. As a senior member of our Data org, you will work closely with our VP Data in scaling data science as our titles multiply. + +You will ... + + +Develop core segmentations - LTV, Behavioural - and core predictive models - LTV, Churn, IAP Propensity - to understand player profiles and behaviour +Use the above segmentations and models to develop processes and feedback loops to personalise/optimise LiveOps and UA +Identify opportunities where ML can further automate Growth & Product processes +Explore agent-based modelling and reinforcement learning to simulate gameplay and economy to drive feature and monetisation development +Partner with Product stakeholders and take the technical lead in designing experiments that explore different scenarios and key dependencies +Bank player and game insights to drive Carry1st's strategic direction via new business models + + + +Requirements + +What makes you a great candidate? + + +Degree in Economics, Physics, Statistics, Engineering or similar +Minimum 3 years experience in data science in an operational environment +Strong mathematical and statistical acumen +Solid SQL skills and practical analytics/data science experience with Python +Strong analytical and problems solving skills as a foundation for adaptability in an ambiguous and agile environment of diverse backgrounds +Ability to effectively communicate complex insights and hypotheses to business stakeholders + + + +Benefits + +What will it be like to work at Carry1st? + +Carry1st is a fast-growing, dynamic place to work. And while we are laser focused on building the flagship mobile internet company in Africa, our team is fully remote and 100% global - with people in 25+ countries! At Carry1st, you will... + + +Build awesome, industry-changing products, every day +Grow with a VC-backed startup at the intersection of gaming, fintech, and web3 +Work from anywhere in the world with international teammates +Own shares in the Company - enabling you to benefit from the value you create + + + +Some Additional Perks... + + +Co-working excursions: Travel to meet your colleagues in cities around the world +Awesome equipment: Get everything you need to work effectively +Remote working allowance: Put an additional $600 / year to optimise your WFH experience +Learning and development: Attend courses, conferences and training events +Social events: Participate in regular company events to relax and connect with teammates +Birthday leave: Enjoy a paid day off on your special day + + +We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. Join us! + +Learn More About Carry1st... + + +Andreessen Horowitz shared why they invested in Carry1st +VentureBeat announced that Carry1st has raised $27 million to develop and publish mobile games in Africa +Remerge hosted Cordel on a podcast to discuss Carry1st and the African gaming market +Show more ","
+ + + + + +
+
+ Carry1st is Africa's leading publisher of mobile games and digital content. Operating at the intersection of games, publishing, and fintech, we scale awesome content in frontier markets by solving hard problems. Across our publishing and Pay1st business lines, we are partnered with top global game companies like Riot Games, Activision, and Stillfront. We are backed by top investors like: a16z, Bitkraft, Google, Konvoy, Riot Games, Sony and Nas.

As Sr Data Scientist, you will be responsible for driving enjoyable player experiences and sustainable player LTV. You will translate in-game behavioural data, progression trends, and purchase propensities into segmentations and models for LiveOps personalisation and UA optimisation.

You will be involved in simulating game engagement and game economy - supporting our Product teams in driving game evolution to success. As a senior member of our Data org, you will work closely with our VP Data in scaling data science as our titles multiply.

You will ...

  • Develop core segmentations - LTV, Behavioural - and core predictive models - LTV, Churn, IAP Propensity - to understand player profiles and behaviour
  • Use the above segmentations and models to develop processes and feedback loops to personalise/optimise LiveOps and UA
  • Identify opportunities where ML can further automate Growth & Product processes
  • Explore agent-based modelling and reinforcement learning to simulate gameplay and economy to drive feature and monetisation development
  • Partner with Product stakeholders and take the technical lead in designing experiments that explore different scenarios and key dependencies
  • Bank player and game insights to drive Carry1st's strategic direction via new business models


Requirements

What makes you a great candidate?

  • Degree in Economics, Physics, Statistics, Engineering or similar
  • Minimum 3 years experience in data science in an operational environment
  • Strong mathematical and statistical acumen
  • Solid SQL skills and practical analytics/data science experience with Python
  • Strong analytical and problems solving skills as a foundation for adaptability in an ambiguous and agile environment of diverse backgrounds
  • Ability to effectively communicate complex insights and hypotheses to business stakeholders


Benefits

What will it be like to work at Carry1st?

Carry1st is a fast-growing, dynamic place to work. And while we are laser focused on building the flagship mobile internet company in Africa, our team is fully remote and 100% global - with people in 25+ countries! At Carry1st, you will...

  • Build awesome, industry-changing products, every day
  • Grow with a VC-backed startup at the intersection of gaming, fintech, and web3
  • Work from anywhere in the world with international teammates
  • Own shares in the Company - enabling you to benefit from the value you create


Some Additional Perks...

  • Co-working excursions: Travel to meet your colleagues in cities around the world
  • Awesome equipment: Get everything you need to work effectively
  • Remote working allowance: Put an additional $600 / year to optimise your WFH experience
  • Learning and development: Attend courses, conferences and training events
  • Social events: Participate in regular company events to relax and connect with teammates
  • Birthday leave: Enjoy a paid day off on your special day

We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. Join us!

Learn More About Carry1st...

  • Andreessen Horowitz shared why they invested in Carry1st
  • VentureBeat announced that Carry1st has raised $27 million to develop and publish mobile games in Africa
  • Remerge hosted Cordel on a podcast to discuss Carry1st and the African gaming market
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3989601291,https://de.linkedin.com/jobs/view/data-scientist-m-f-d-at-fuchs-eule-3989601291?position=10&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=yfXBTsNAmdU5vIdp%2F2zbzw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (m/f/d),Fuchs & Eule,"Berlin, Germany","Now is the time to take action and fight the climate crisis. We want to support as many homeowners as possible to make their homes energy efficient and receive the best possible funding. + + + + +Residential homes are responsible for a significant percentage of global CO2 emissions and the pressure from high energy costs is higher than ever, but the path to a climate-neutral home with optimal funding is complicated. We combine expertise in the energy and buildings sector with practical project support and digital innovation, helping people and the environment in equal measures. + + + + +Join our team in Berlin as Data Scientist as soon as you're available. + + + + +Your Responsibilities + +Data Processing & Curation – You engage with our internal data to create clean datasets as a basis for ML applications +Model Development – You develop and tune ML models that enhance the quality and efficiency of the energy consultation for our customers +Benchmarking – You assess the performance of your models, ensuring they meet our high-quality standards +New Approaches – You keep an eye on the latest developments in AI and come up with new approaches to improve our data products + + + + +Your profile + +Studies & Professional Experience – You possess a degree in computer science, mathematics, statistics, or a related field, complemented by a robust professional track record in data science +Technical Expertise – You have solid Python skills and understanding of common machine learning algorithms, cloud computing and machine learning software stack +Ingenuity – You are a creative and innovative problem solver who loves to overcome challenges +Mindset & Collaboration – You're self-organised and thrive working independently, yet are eager to collaborate with everyone. With a 'maker' mindset, you're conceptually adept and shine through your proactive and confident approach + + + + +Fuchs & Eule + +We take our responsibility for a green future seriously and aim to make a significant contribution to CO2 reduction through our commitment to energy efficiency. +We are ambitious and constantly strive to improve. That’s why we give people the space to grow and take responsibility, and the support they need. +We are digital, innovative, customer focused and highly motivated to achieve great things with you. +We are a real team and support each other, speak our minds, have fun together and have a genuine desire to make a positive difference. + + + + +Show more ","
+ + + + + +
+
+

Now is the time to take action and fight the climate crisis. We want to support as many homeowners as possible to make their homes energy efficient and receive the best possible funding.


Residential homes are responsible for a significant percentage of global CO2 emissions and the pressure from high energy costs is higher than ever, but the path to a climate-neutral home with optimal funding is complicated. We combine expertise in the energy and buildings sector with practical project support and digital innovation, helping people and the environment in equal measures.


Join our team in Berlin as Data Scientist as soon as you're available.


Your Responsibilities

  • Data Processing & Curation – You engage with our internal data to create clean datasets as a basis for ML applications
  • Model Development – You develop and tune ML models that enhance the quality and efficiency of the energy consultation for our customers
  • Benchmarking – You assess the performance of your models, ensuring they meet our high-quality standards
  • New Approaches – You keep an eye on the latest developments in AI and come up with new approaches to improve our data products


Your profile

  • Studies & Professional Experience – You possess a degree in computer science, mathematics, statistics, or a related field, complemented by a robust professional track record in data science
  • Technical Expertise – You have solid Python skills and understanding of common machine learning algorithms, cloud computing and machine learning software stack
  • Ingenuity – You are a creative and innovative problem solver who loves to overcome challenges
  • Mindset & Collaboration – You're self-organised and thrive working independently, yet are eager to collaborate with everyone. With a 'maker' mindset, you're conceptually adept and shine through your proactive and confident approach


Fuchs & Eule

  • We take our responsibility for a green future seriously and aim to make a significant contribution to CO2 reduction through our commitment to energy efficiency.
  • We are ambitious and constantly strive to improve. That’s why we give people the space to grow and take responsibility, and the support they need.
  • We are digital, innovative, customer focused and highly motivated to achieve great things with you.
  • We are a real team and support each other, speak our minds, have fun together and have a genuine desire to make a positive difference.


+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3979316429,https://de.linkedin.com/jobs/view/software-engineer-in-reinforcement-learning-m-w-d-at-technology-strategy-3979316429?position=11&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=Zj4F3TzygJ1nTIsnPiNoIQ%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer in Reinforcement Learning (M/W/D),Technology & Strategy,"Berlin, Berlin, Germany","Do you want to know more about us? + + + + +Of course we can tell you the story of our company and our areas of expertise! But in the end,the most important thing is what your future T&S colleagues think about T&S. + + + + +What they like best : + + + + +Flexibility - Of course you get flexible working hours, home-office facilities and 30 days' holiday a year, but there is more to it than that. It is also the benefits that consulting brings. At T&S, whether you are a junior or an experienced consultant, you can move quickly through different projects, develop your skills and accelerate your career. + + + + +Projects - You will work in a stimulating environment. You will be in contact with experts and be at the heart of innovations. You can work in different industries or become an expert in a particular field. You can take advantage of paid training, certifications and language courses (English and German)! + + + + +Atmosphere - You will be with international and multi-cultural teams. Whether it is a Potluck, Karaoke, Karting, Oktoberfest or Summer and Winter parties, we want to have a good time with you. Having fun at work is important! It is a great way to bond and get to know each other better (but of course it is never an obligation!). + + + + +In more formal terms, we are a consulting firm specializing in engineering, IT and digital project management. We are an international company with a Franco-German DNA. Our 3,500 employees are of 45 different nationalities and are spread across 27 offices in 10 countries, including France, Germany, Switzerland, Belgium, the UK, Singapore, Hong Kong, Portugal, Egypt, and the Netherlands. + + + + +Job Description : + +Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently alongside humans? Our team is creating new products and technologies that make this possible, at global scale. + +Our software team is seeking broad, curious engineers to join our diverse, full-stack team. In addition to holistically designing, building, and delivering end-to-end robotic systems, our team is responsible for the core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, and software engineers to collaborate and deploy systems in the lab and in the field. Our work spans real-time software, machine learning engineering, big data, simulation, and more. + + + + +Key job responsibilities + +Architect, design, and implement robotic software applications, infrastructure, and tools. +Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. +Create robust, high-quality, well-tested software to interface with robots, control sensors, actuators, and other hardware. +Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. +Profile, tune, and optimize system performance. +Create re-usable software and systems to accelerate robotics development. +Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement. + + + + +Basic qualifications + +2+ years of experience in reinforcement learning +5+ years of professional software development experience with at least one modern language such as Python, C++, Java, or Kotlin including object-oriented design. +3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. +Bachelor’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent. +Proficiency with professional software engineering practices & standard practices for the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. +Experience in software design and architecture. Excellent interpersonal and written communication skills. + + + + +Preferred qualifications + +Experience with AWS (S3, Lambda, SQS). +Master’s or advanced degree in Computer Science/Engineering, Statistics, Mathematics, or equivalent. +8+ years of industry software development experience, with background in design patterns, data structures, and test-driven development. +Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, and simulation. +Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design. +Experience supporting large-scale infrastructure and tool development for scientific/engineering users. +Solid fundamentals in operating systems, embedded systems, or systems programming. Demonstrable experience in building, programming and integrating software and hardware for robotic systems. Independent and ability to work with minimal direction. +Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation + + + + +Our positions are open to recognized as disabled workers. + +T&S Group promotes diversity and equality in the workplace. + +All qualified M/F/O candidates are considered for employment on an equal basis. + +Show more ","
+ + + + + +
+
+

Do you want to know more about us?


Of course we can tell you the story of our company and our areas of expertise! But in the end,the most important thing is what your future T&S colleagues think about T&S.


What they like best :


Flexibility - Of course you get flexible working hours, home-office facilities and 30 days' holiday a year, but there is more to it than that. It is also the benefits that consulting brings. At T&S, whether you are a junior or an experienced consultant, you can move quickly through different projects, develop your skills and accelerate your career.


Projects - You will work in a stimulating environment. You will be in contact with experts and be at the heart of innovations. You can work in different industries or become an expert in a particular field. You can take advantage of paid training, certifications and language courses (English and German)!


Atmosphere - You will be with international and multi-cultural teams. Whether it is a Potluck, Karaoke, Karting, Oktoberfest or Summer and Winter parties, we want to have a good time with you. Having fun at work is important! It is a great way to bond and get to know each other better (but of course it is never an obligation!).


In more formal terms, we are a consulting firm specializing in engineering, IT and digital project management. We are an international company with a Franco-German DNA. Our 3,500 employees are of 45 different nationalities and are spread across 27 offices in 10 countries, including France, Germany, Switzerland, Belgium, the UK, Singapore, Hong Kong, Portugal, Egypt, and the Netherlands.


Job Description :

Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently alongside humans? Our team is creating new products and technologies that make this possible, at global scale.

Our software team is seeking broad, curious engineers to join our diverse, full-stack team. In addition to holistically designing, building, and delivering end-to-end robotic systems, our team is responsible for the core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, and software engineers to collaborate and deploy systems in the lab and in the field. Our work spans real-time software, machine learning engineering, big data, simulation, and more.


Key job responsibilities

  • Architect, design, and implement robotic software applications, infrastructure, and tools.
  • Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.
  • Create robust, high-quality, well-tested software to interface with robots, control sensors, actuators, and other hardware.
  • Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models.
  • Profile, tune, and optimize system performance.
  • Create re-usable software and systems to accelerate robotics development.
  • Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.


Basic qualifications

  • 2+ years of experience in reinforcement learning
  • 5+ years of professional software development experience with at least one modern language such as Python, C++, Java, or Kotlin including object-oriented design.
  • 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
  • Bachelor’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent.
  • Proficiency with professional software engineering practices & standard practices for the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience in software design and architecture. Excellent interpersonal and written communication skills.


Preferred qualifications

  • Experience with AWS (S3, Lambda, SQS).
  • Master’s or advanced degree in Computer Science/Engineering, Statistics, Mathematics, or equivalent.
  • 8+ years of industry software development experience, with background in design patterns, data structures, and test-driven development.
  • Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, and simulation.
  • Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
  • Experience supporting large-scale infrastructure and tool development for scientific/engineering users.
  • Solid fundamentals in operating systems, embedded systems, or systems programming. Demonstrable experience in building, programming and integrating software and hardware for robotic systems. Independent and ability to work with minimal direction.
  • Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation


Our positions are open to recognized as disabled workers.

T&S Group promotes diversity and equality in the workplace.

All qualified M/F/O candidates are considered for employment on an equal basis.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-18,[] +3974764479,https://de.linkedin.com/jobs/view/data-scientist-analytics-new-verticals-at-wolt-3974764479?position=12&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=Vn9X1xhIjuD3dH%2FZLWr0fg%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist (Analytics), New Verticals",Wolt,"Berlin, Berlin, Germany","Job Description + +About the New Verticals Group + +The New Verticals Group is all about expanding Wolt beyond Restaurants and helping deliver anything our Customers want with unprecedented convenience and world-leading customer experience. We want to make Wolt, the best place to order groceries, convenience, pharmacy, electronics, home, pet stores, clothing, and other retail goods. Our vision is to make Wolt the world’s best shopping mall, in your pocket. + +We work closely together with cross-functional teams to ensure that we have solid organic and inorganic growth plans, that we execute those perfectly in our country operations, and disseminate best practices across the organization to reduce the growth pains of rapid scaling (it always hurts when you grow >2x per year!) 🚀 + +About The New Verticals Analytics Team + +Our New Verticals Analytics team sits at the intersection of product development, strategic planning, and operational execution. We partner with Product, Engineering, Design, and Operations teams to guide measurement and tactical decision-making using advanced analytics as we expand the Wolt platform across the globe. + +You’ll be part of this team working with top Data Science and Analytics Engineering professionals. + +About The Role + +As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions, to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience that combines scientific expertise with stakeholder engagement. When you join this team, you will be taking ownership of the business outcomes. + +If you enjoy finding patterns amidst the chaos, are excited to build from the ground up, and have experience using data science skills to solve business problems, we want you on our team. + +Our offering to you + + +The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics. +You can choose the location from our tech hubs Helsinki, Berlin and Stockholm, or you can work entirely remotely anywhere in Finland, Germany, Sweden and Estonia. You have the chance to decide the ways of working — a hybrid, at the office, or remote within the location above. 💙 Read more about our remote setup. +You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Read more about how we work. + + +Our humble expectations + + +Degree in Mathematics, Statistics, Computer Science, or a related field. +4+ years of experience in a Data Analytics or Data Science position. +Expertise in statistical analysis using statistical software packages in Python or R. +Expertise in causal inference (Diff in Diff, Synthetic control). +Proficiency in writing structured and efficient SQL queries for large data sets. +Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Looker, Tableau, Mixpanel, or similar. +Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach. + + +Next Steps + +The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! + +The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie. + +For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com) + +About Wolt + +Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we’re a technology company building a commerce platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In June 2022 we officially joined forces with DoorDash. Combined, we have a presence in 27 countries, 23 of which operate with the Wolt brand and app. Wolt and DoorDash continue largely independently, with Wolt’s name, brand, product, technology and team. + +Working in Product Development at Wolt + +At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people. + +The behind the scenes of Wolt is run by an awesome bunch of over 400+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 40 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way. + +Our Commitment to Diversity, Equity & Inclusion + +We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way. + +Join us today to build Wolt together! + + +Show more ","
+ + + + + +
+
+ Job Description

About the New Verticals Group

The New Verticals Group is all about expanding Wolt beyond Restaurants and helping deliver anything our Customers want with unprecedented convenience and world-leading customer experience. We want to make Wolt, the best place to order groceries, convenience, pharmacy, electronics, home, pet stores, clothing, and other retail goods. Our vision is to make Wolt the world’s best shopping mall, in your pocket.

We work closely together with cross-functional teams to ensure that we have solid organic and inorganic growth plans, that we execute those perfectly in our country operations, and disseminate best practices across the organization to reduce the growth pains of rapid scaling (it always hurts when you grow >2x per year!) 🚀

About The New Verticals Analytics Team

Our New Verticals Analytics team sits at the intersection of product development, strategic planning, and operational execution. We partner with Product, Engineering, Design, and Operations teams to guide measurement and tactical decision-making using advanced analytics as we expand the Wolt platform across the globe.

You’ll be part of this team working with top Data Science and Analytics Engineering professionals.

About The Role

As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions, to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience that combines scientific expertise with stakeholder engagement. When you join this team, you will be taking ownership of the business outcomes.

If you enjoy finding patterns amidst the chaos, are excited to build from the ground up, and have experience using data science skills to solve business problems, we want you on our team.

Our offering to you

  • The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics.
  • You can choose the location from our tech hubs Helsinki, Berlin and Stockholm, or you can work entirely remotely anywhere in Finland, Germany, Sweden and Estonia. You have the chance to decide the ways of working — a hybrid, at the office, or remote within the location above. 💙 Read more about our remote setup.
  • You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Read more about how we work.

Our humble expectations

  • Degree in Mathematics, Statistics, Computer Science, or a related field.
  • 4+ years of experience in a Data Analytics or Data Science position.
  • Expertise in statistical analysis using statistical software packages in Python or R.
  • Expertise in causal inference (Diff in Diff, Synthetic control).
  • Proficiency in writing structured and efficient SQL queries for large data sets.
  • Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Looker, Tableau, Mixpanel, or similar.
  • Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.

Next Steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)

About Wolt

Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we’re a technology company building a commerce platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In June 2022 we officially joined forces with DoorDash. Combined, we have a presence in 27 countries, 23 of which operate with the Wolt brand and app. Wolt and DoorDash continue largely independently, with Wolt’s name, brand, product, technology and team.

Working in Product Development at Wolt

At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.

The behind the scenes of Wolt is run by an awesome bunch of over 400+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 40 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.

Our Commitment to Diversity, Equity & Inclusion

We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.

Join us today to build Wolt together!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3971406670,https://de.linkedin.com/jobs/view/data-scientist-germany-bcg-x-at-bcg-x-3971406670?position=13&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=kp9l5%2Bx%2F%2F6TUqmmYMV4syQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Germany - BCG X",BCG X,"Berlin, Berlin, Germany","Locations: München | Berlin | Frankfurt + +Who We Are + +Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. + +To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. + +We Are BCG X + +We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. + +What You'll Do + +Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. + +Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. + +Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. + +We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: + + +Comfortable in a client-facing role with the ambition to lead teams +Likes to distill complex results or processes into simple, clear visualizations +Explain sophisticated data science concepts in an understandable manner +Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) +Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data +Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients +Have strong project management skills + + +What You'll Bring + +TECHNOLOGIES: + +Programming Languages: Python + +#BCGXjob + +Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. + +BCG is an E - Verify Employer. Click here for more information on E-Verify. +Show more ","
+ + + + + +
+
+ Locations: München | Berlin | Frankfurt

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.

Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.

Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.

We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following:

  • Comfortable in a client-facing role with the ambition to lead teams
  • Likes to distill complex results or processes into simple, clear visualizations
  • Explain sophisticated data science concepts in an understandable manner
  • Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
  • Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
  • Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
  • Have strong project management skills

What You'll Bring

TECHNOLOGIES:

Programming Languages: Python

#BCGXjob

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3978705697,https://de.linkedin.com/jobs/view/data-scientist-m-w-d-at-akkodis-3978705697?position=17&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=vlU2wTlM8JaNgjXELDxntA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (m/w/d),Akkodis,"Berlin, Germany","Sind Sie auf der Suche nach neuen und spannenden Herausforderungen? Dann beginnen Sie Ihre Karriere bei uns und werden Sie Teil eines unserer Kundenprojekte. + + + + +IHRE AUFGABEN + +Analyse großer Datenmengen zur Identifizierung von Mustern, Trends und Erkenntnissen, die zur Lösung geschäftlicher Herausforderungen beitragen +Entwicklung und Implementierung von Machine-Learning-Algorithmen und -Modellen zur Vorhersage, Klassifizierung und Optimierung +Zusammenarbeit mit verschiedenen Teams, um Datenanforderungen zu verstehen, analytische Lösungen zu entwickeln und Erkenntnisse zu präsentieren +Bereinigung, Transformation und Integration von Daten aus verschiedenen Quellen, um eine konsistente und zuverlässige Datenbasis zu schaffen +Bewertung und Einführung neuer Technologien, Tools und Methoden zur Verbesserung der Datenanalyse und -modellierung + + + + + + + +IHR PROFIL* + +Abgeschlossenes Studium in Informatik, Statistik, Mathematik, Data Science oder einem verwandten Bereich +Nachgewiesene Erfahrung in der Datenanalyse und -modellierung, idealerweise in einem Unternehmensumfeld +Kenntnisse in Programmiersprachen wie Python oder R sowie in Datenbankabfragesprachen wie SQL +Erfahrung mit Machine-Learning-Frameworks (wie TensorFlow, PyTorch oder Scikit-Learn) +Starke Problemlösungsfähigkeiten und die Fähigkeit, komplexe Sachverhalte klar zu kommunizieren +Kundenorientierte und agile Arbeitsweise (Scrum) +Erfahrung mit Big-Data-Technologien (wie Hadoop, Spark oder Kafka) ist von Vorteil +Sehr gute Deutsch- und Englischkenntnisse + +*Mut zur Lücke! Auch wenn Sie nicht alle Anforderungen erfüllen: Trauen Sie sich und bewerben Sie sich bei uns! + + + + + + + +WARUM SIE BEI UNS GENAU RICHTIG SIND + +Es besteht die Möglichkeit zum Teil remote zu arbeiten und somit von den Vorteilen hybrider Arbeit zu profitieren (flexibles Arbeiten) +Teamspirit und Diversität +Work-Life-Balance +Attraktive Vergütung +Sozialleistungen +Vielseitige Weiterbildungsmöglichkeiten +Team- und Sportevents +Globales Netzwerk +Attraktives Mitarbeiterempfehlungsprogramm + + + + +Die Benefits können je nach Position und Standort variieren. Eine Übersicht über unsere Benefits befindet sich auf unserer Webseite unterhalb Karriere und Benefits. + + + + +Senden Sie uns direkt Ihre Bewerbung zu. Für Rückfragen stehen wir Ihnen gerne zur Verfügung. Wir freuen uns über die Bewerbung von Menschen, die zur Vielfalt unseres Unternehmens beitragen. + +Show more ","
+ + + + + +
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+

Sind Sie auf der Suche nach neuen und spannenden Herausforderungen? Dann beginnen Sie Ihre Karriere bei uns und werden Sie Teil eines unserer Kundenprojekte.


IHRE AUFGABEN

  • Analyse großer Datenmengen zur Identifizierung von Mustern, Trends und Erkenntnissen, die zur Lösung geschäftlicher Herausforderungen beitragen
  • Entwicklung und Implementierung von Machine-Learning-Algorithmen und -Modellen zur Vorhersage, Klassifizierung und Optimierung
  • Zusammenarbeit mit verschiedenen Teams, um Datenanforderungen zu verstehen, analytische Lösungen zu entwickeln und Erkenntnisse zu präsentieren
  • Bereinigung, Transformation und Integration von Daten aus verschiedenen Quellen, um eine konsistente und zuverlässige Datenbasis zu schaffen
  • Bewertung und Einführung neuer Technologien, Tools und Methoden zur Verbesserung der Datenanalyse und -modellierung



IHR PROFIL*

  • Abgeschlossenes Studium in Informatik, Statistik, Mathematik, Data Science oder einem verwandten Bereich
  • Nachgewiesene Erfahrung in der Datenanalyse und -modellierung, idealerweise in einem Unternehmensumfeld
  • Kenntnisse in Programmiersprachen wie Python oder R sowie in Datenbankabfragesprachen wie SQL
  • Erfahrung mit Machine-Learning-Frameworks (wie TensorFlow, PyTorch oder Scikit-Learn)
  • Starke Problemlösungsfähigkeiten und die Fähigkeit, komplexe Sachverhalte klar zu kommunizieren
  • Kundenorientierte und agile Arbeitsweise (Scrum)
  • Erfahrung mit Big-Data-Technologien (wie Hadoop, Spark oder Kafka) ist von Vorteil
  • Sehr gute Deutsch- und Englischkenntnisse

*Mut zur Lücke! Auch wenn Sie nicht alle Anforderungen erfüllen: Trauen Sie sich und bewerben Sie sich bei uns!



WARUM SIE BEI UNS GENAU RICHTIG SIND

  • Es besteht die Möglichkeit zum Teil remote zu arbeiten und somit von den Vorteilen hybrider Arbeit zu profitieren (flexibles Arbeiten)
  • Teamspirit und Diversität
  • Work-Life-Balance
  • Attraktive Vergütung
  • Sozialleistungen
  • Vielseitige Weiterbildungsmöglichkeiten
  • Team- und Sportevents
  • Globales Netzwerk
  • Attraktives Mitarbeiterempfehlungsprogramm


Die Benefits können je nach Position und Standort variieren. Eine Übersicht über unsere Benefits befindet sich auf unserer Webseite unterhalb Karriere und Benefits.


Senden Sie uns direkt Ihre Bewerbung zu. Für Rückfragen stehen wir Ihnen gerne zur Verfügung. Wir freuen uns über die Bewerbung von Menschen, die zur Vielfalt unseres Unternehmens beitragen.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3965979296,https://de.linkedin.com/jobs/view/data-analyst-decision-scientist-help-experience-at-vinted-3965979296?position=18&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=Psq2pNZs%2BkqOgJVZ6uXjYg%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Analyst / Decision Scientist, Help Experience",Vinted,"Berlin, Berlin, Germany","Brief info about Vinted + +Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 22 markets in Europe and North America. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life. + +Vinted Go launched in 2022, with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 40 carriers and more than 200,000 PUDO points across Europe to support the delivery of millions of parcels per year. + +The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. It is backed by six leading venture capital firms: Accel, Burda Principal Investments, EQT Growth, Insight Partners, Lightspeed Venture Partners, and Sprints Capital. + +Information about the position + +As our new Decision Scientist, you’ll become part of a cross-functional team in the Help Experience domain with a mission to enable an effortless, scalable and cost effective support experience for our Vinted members. Your team’s focus will be on supporting our Member Support function and enabling quality and efficiency improvements through automation, self-service, and operational excellence. + +We’re looking for someone who is a strategic thinker, a problem solver, with a strong data background, who aims high. You like to work in a fast-changing environment, and you are passionate about the product we’re building together. + +Next to the product team you will be part of the cross-domain Data Science & Analytics (DSA) guild where you will interact and learn from all data people in Vinted. Within Data Science & Analytics (DSA) we have three distinct roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department: + + +Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision making. +Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines. +Data Scientists are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms. + + +You will report to the Director of data science & analytics in Help Experience and work closely with other leaders in the domain, particularly in the data science & analytics and product functions. + +In this position, you’ll + + +Collaborate with your team and direct stakeholders to identify strategic opportunities and answer key business questions +Ensure these questions are answered in an optimal fashion (e.g. in the form of an ad hoc deep-dive, experiment, dashboard, or automatically recurring analysis) +Analyze identified opportunities to understand their scope and impact (i.e. size opportunities) +Own the key performance indicators for a team, including selection, tracking, forecasting, and proactively flagging issues +Enable your team and direct stakeholders to independently leverage data for business insights via self-serving and dashboarding tools (Looker) +Define the requirements for (A/B) testing and analyze the results of (A/B) tests +Help to create a backlog with prioritized hypotheses and analyses + + +About You + + +Demonstratable experience as a Decision Scientist, Data Analyst, Product Analyst or a Strategic role with a strong data component. +BSc or MSc in Applied Mathematics, Data Science, Computer Science, Economics, Statistics, Econometrics, or another related field (equivalent working experience is also acceptable) +Highly business-oriented and comfortable with iterative processes +A good communicator who can present complex topics clearly and persuasively to different audiences +Excellent written and spoken English +Are able to balance between analyses depth (time needed) and business impact +Ability to deal with uncertainty and to combine data insights with strategic thinking +Statistical proficiency (e.g. A/B testing, regression analysis) +Advanced knowledge of at least one statistical programming language (Python, R, etc.) +Fluency with SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.) + + +Work perks + + +The opportunity to benefit from our share options programme +30 days of paid annual leave +Newest MacBook models +Mental and emotional health support through the Mindletic app +Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture +A daily lunch allowance +Frequent team-building events +A personal monthly budget for shopping on Vinted +A subsidised gym membership with ClassPass or Urban Sports Card +A subsidised pension plan provided by Vinted +Hallesche Supplemental health insurance +Life and disability insurance provided +A subsidised Deutschlandticket +The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation +A dog-friendly office + + +Working at Vinted + +Individual Learning Budget + +Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. You’ll be able to take the initiative to use it for covering relevant learning activities that benefit your role. + +Hybrid Work + +We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person. + +Equal Opportunity + +The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic. + +The salary range for this position is €69,000 - €93,400 gross per year. +Show more ","
+ + + + + +
+
+ Brief info about Vinted

Vinted Marketplace is the largest online international C2C marketplace in Europe dedicated to second-hand fashion, with millions of registered members spanning 22 markets in Europe and North America. With a mission to make second-hand the first choice worldwide, Vinted enables people to sell and buy second-hand clothes and lifestyle items from each other, helping give those items a second or even third life.

Vinted Go launched in 2022, with a focus on developing products and solutions for more seamless shipping and delivery across Europe. Vinted Go has connected more than 40 carriers and more than 200,000 PUDO points across Europe to support the delivery of millions of parcels per year.

The Vinted Group, composed of Vinted Marketplace and Vinted Go, is headquartered in Vilnius, with workplaces in Germany, Lithuania, France, the United Kingdom, the Netherlands and over 2,000 employees. It is backed by six leading venture capital firms: Accel, Burda Principal Investments, EQT Growth, Insight Partners, Lightspeed Venture Partners, and Sprints Capital.

Information about the position

As our new Decision Scientist, you’ll become part of a cross-functional team in the Help Experience domain with a mission to enable an effortless, scalable and cost effective support experience for our Vinted members. Your team’s focus will be on supporting our Member Support function and enabling quality and efficiency improvements through automation, self-service, and operational excellence.

We’re looking for someone who is a strategic thinker, a problem solver, with a strong data background, who aims high. You like to work in a fast-changing environment, and you are passionate about the product we’re building together.

Next to the product team you will be part of the cross-domain Data Science & Analytics (DSA) guild where you will interact and learn from all data people in Vinted. Within Data Science & Analytics (DSA) we have three distinct roles. To understand your role within DSA context better, here are brief descriptions of each role we have in the department:

  • Decision Scientists are responsible for actionable insights, identifying and sizing opportunities, and automated tools that increase the quality of product and business decisions by applying statistical methods and data-driven decision making.
  • Analytics Engineers are responsible for data curation – translating data needs from stakeholders into architecting, building and maintaining efficient & reliable data models and pipelines.
  • Data Scientists are responsible for identification of algorithmic opportunities, ensuring those opportunities are addressed in an optimal fashion and design, development and maintenance of production-grade statistical and machine learning algorithms.

You will report to the Director of data science & analytics in Help Experience and work closely with other leaders in the domain, particularly in the data science & analytics and product functions.

In this position, you’ll

  • Collaborate with your team and direct stakeholders to identify strategic opportunities and answer key business questions
  • Ensure these questions are answered in an optimal fashion (e.g. in the form of an ad hoc deep-dive, experiment, dashboard, or automatically recurring analysis)
  • Analyze identified opportunities to understand their scope and impact (i.e. size opportunities)
  • Own the key performance indicators for a team, including selection, tracking, forecasting, and proactively flagging issues
  • Enable your team and direct stakeholders to independently leverage data for business insights via self-serving and dashboarding tools (Looker)
  • Define the requirements for (A/B) testing and analyze the results of (A/B) tests
  • Help to create a backlog with prioritized hypotheses and analyses

About You

  • Demonstratable experience as a Decision Scientist, Data Analyst, Product Analyst or a Strategic role with a strong data component.
  • BSc or MSc in Applied Mathematics, Data Science, Computer Science, Economics, Statistics, Econometrics, or another related field (equivalent working experience is also acceptable)
  • Highly business-oriented and comfortable with iterative processes
  • A good communicator who can present complex topics clearly and persuasively to different audiences
  • Excellent written and spoken English
  • Are able to balance between analyses depth (time needed) and business impact
  • Ability to deal with uncertainty and to combine data insights with strategic thinking
  • Statistical proficiency (e.g. A/B testing, regression analysis)
  • Advanced knowledge of at least one statistical programming language (Python, R, etc.)
  • Fluency with SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.)

Work perks

  • The opportunity to benefit from our share options programme
  • 30 days of paid annual leave
  • Newest MacBook models
  • Mental and emotional health support through the Mindletic app
  • Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture
  • A daily lunch allowance
  • Frequent team-building events
  • A personal monthly budget for shopping on Vinted
  • A subsidised gym membership with ClassPass or Urban Sports Card
  • A subsidised pension plan provided by Vinted
  • Hallesche Supplemental health insurance
  • Life and disability insurance provided
  • A subsidised Deutschlandticket
  • The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation
  • A dog-friendly office

Working at Vinted

Individual Learning Budget

Vinted will set aside a yearly sum equal to 10-13.2% of your annual salary to be invested in your continuous professional development. You’ll be able to take the initiative to use it for covering relevant learning activities that benefit your role.

Hybrid Work

We’ve adopted a hybrid workplace model where 2 days in the office are recommended but not enforced. It’s up to you and your team to decide on the exact days you’ll spend working together in person.

Equal Opportunity

The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic.

The salary range for this position is €69,000 - €93,400 gross per year. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3842435905,https://de.linkedin.com/jobs/view/data-scientist-activity-ranking-team-at-getyourguide-3842435905?position=19&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=aMkuUzAefJL4ZjXpNLfazA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Activity Ranking Team",GetYourGuide,"Berlin, Berlin, Germany","At GetYourGuide (GYG), we're looking for a passionate Data Scientist to join our Activity Ranking Team. In this role, you'll have the opportunity to make a significant impact on our product and our customers' experiences. You'll work with a vast and diverse set of structured and unstructured data, powering various data products such as search, recommendations, SEM, and incentives. Our team has touchpoints across the business, developing end-to-end solutions that directly contribute to creating memorable travel experiences for people around the world. + +Team Mission + +The Activity Ranking Team is responsible for the ranking algorithms used for GYG's products. Our primary goal is to present customers with the most relevant products in their specific context while ensuring broad visibility across our extensive inventory. We've developed advanced systems that rank products individually for each customer in real-time. Our work influences nearly every booking on the platform. As part of our collaborative team, you'll work closely with other Data Scientists and MLOps Engineers to continuously enhance the relevance of displayed products. + +What You Will Do + + +Develop data products that delight our customers and contribute to company success +Take ownership of projects from initial business problem to production code, including: +Analyzing large datasets to derive meaningful insights +Developing and maintaining robust data pipelines +Monitoring and optimizing data products post-deployment +Contribute to our machine learning infrastructure and help establish best practices +Collaborate with cross-functional teams, bringing your unique perspective to solve complex problems +Support team growth through continuous improvements and participation in recruiting efforts + +What You Bring + +Ideal candidates will have experience in most of the following areas: + + +Machine Learning Familiarity with regressors, classifiers, and recommender systems. Understanding of ML techniques and their applications. Experience deploying ML models in production is a plus. +Software Engineering Proficiency in Python. Familiarity with distributed machine learning and computing frameworks (e.g., Spark) is beneficial. +Analytics Ability to transform data into actionable insights. Experience with hypothesis testing and proficiency in analytics tools (e.g., pandas, R) and SQL. +Business Acumen Applied experience in a business environment, demonstrating result-driven work. +Academic Background An advanced degree in a quantitative field or equivalent practical experience. +Communication Strong skills in explaining complex concepts to both technical and non-technical stakeholders. + + +We value potential and enthusiasm as much as experience. If you're passionate about data science and eager to learn, we encourage you to apply, even if you don't meet all the criteria listed above. + +What We Offer + + +Meaningful work that helps create memorable travel experiences +A diverse, inclusive environment where your voice is valued +Collaboration with smart, engaged colleagues from over 80 nationalities +English-speaking office environment +Virtual stock options - be part of our success story +Continuous learning opportunities through monthly Hackathons, weekly tech talks, and an annual external training budget +Mentorship programs to support your growth and career development +Flexible working arrangements to support work-life balance +Well-stocked kitchen and team-building events +GetYourGuide vouchers and free German lessons +Relocation assistance if needed + + +Curious? + +Do you have the skills for the job, enthusiasm about our vision, and fit our culture? We are looking forward to hearing from you! For any further questions regarding this position, contact us via jobs@getyourguide.com. + +In the meantime, you can check our blog to see what happens behind the scenes at GetYourGuide and check out Tech Radar for an insight into the stack we use to turn trips into amazing experiences! + +Check out our blogs! + + +Position Spotlight Data Scientist +Prepping for a Data Science Interview - Ask yourself these questions to stand out +GetYourGuide Core Values + + +Show more ","
+ + + + + +
+
+ At GetYourGuide (GYG), we're looking for a passionate Data Scientist to join our Activity Ranking Team. In this role, you'll have the opportunity to make a significant impact on our product and our customers' experiences. You'll work with a vast and diverse set of structured and unstructured data, powering various data products such as search, recommendations, SEM, and incentives. Our team has touchpoints across the business, developing end-to-end solutions that directly contribute to creating memorable travel experiences for people around the world.

Team Mission

The Activity Ranking Team is responsible for the ranking algorithms used for GYG's products. Our primary goal is to present customers with the most relevant products in their specific context while ensuring broad visibility across our extensive inventory. We've developed advanced systems that rank products individually for each customer in real-time. Our work influences nearly every booking on the platform. As part of our collaborative team, you'll work closely with other Data Scientists and MLOps Engineers to continuously enhance the relevance of displayed products.

What You Will Do

  • Develop data products that delight our customers and contribute to company success
  • Take ownership of projects from initial business problem to production code, including:
    • Analyzing large datasets to derive meaningful insights
    • Developing and maintaining robust data pipelines
    • Monitoring and optimizing data products post-deployment
  • Contribute to our machine learning infrastructure and help establish best practices
  • Collaborate with cross-functional teams, bringing your unique perspective to solve complex problems
  • Support team growth through continuous improvements and participation in recruiting efforts
What You Bring

Ideal candidates will have experience in most of the following areas:

  • Machine Learning Familiarity with regressors, classifiers, and recommender systems. Understanding of ML techniques and their applications. Experience deploying ML models in production is a plus.
  • Software Engineering Proficiency in Python. Familiarity with distributed machine learning and computing frameworks (e.g., Spark) is beneficial.
  • Analytics Ability to transform data into actionable insights. Experience with hypothesis testing and proficiency in analytics tools (e.g., pandas, R) and SQL.
  • Business Acumen Applied experience in a business environment, demonstrating result-driven work.
  • Academic Background An advanced degree in a quantitative field or equivalent practical experience.
  • Communication Strong skills in explaining complex concepts to both technical and non-technical stakeholders.

We value potential and enthusiasm as much as experience. If you're passionate about data science and eager to learn, we encourage you to apply, even if you don't meet all the criteria listed above.

What We Offer

  • Meaningful work that helps create memorable travel experiences
  • A diverse, inclusive environment where your voice is valued
  • Collaboration with smart, engaged colleagues from over 80 nationalities
  • English-speaking office environment
  • Virtual stock options - be part of our success story
  • Continuous learning opportunities through monthly Hackathons, weekly tech talks, and an annual external training budget
  • Mentorship programs to support your growth and career development
  • Flexible working arrangements to support work-life balance
  • Well-stocked kitchen and team-building events
  • GetYourGuide vouchers and free German lessons
  • Relocation assistance if needed

Curious?

Do you have the skills for the job, enthusiasm about our vision, and fit our culture? We are looking forward to hearing from you! For any further questions regarding this position, contact us via jobs@getyourguide.com.

In the meantime, you can check our blog to see what happens behind the scenes at GetYourGuide and check out Tech Radar for an insight into the stack we use to turn trips into amazing experiences!

Check out our blogs!

  • Position Spotlight Data Scientist
  • Prepping for a Data Science Interview - Ask yourself these questions to stand out
  • GetYourGuide Core Values

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3990454025,https://de.linkedin.com/jobs/view/senior-machine-learning-engineer-data-science-f-m-d-at-parloa-3990454025?position=20&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=3TSOl6JCvFj5%2FQvb5l%2F8mw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer - Data Science (f/m/d)*,Parloa,"Berlin, Germany","YOUR MISSION + +As a Senior Machine Learning Engineer - Data Science (f/m/d)*, you will work on Parloa’s machine learning models and related software components that power our generative AI and NLU products. You will become a member of Parloa’s AI & Data Science Team that owns machine learning models and frameworks that power our product as well as the ML operations platform. You will work closely with product teams to help them solve customer problems with machine learning and AI. You will leverage cutting edge technologies to keep sharpening Parloa’s competitive edge to transform the entire customer service industry with AI. + +In This Role You Will + + +Take ownership of data science and machine learning projects that help us improve our generative AI product suite +Work closely with product management, design and product engineers to shape requirements and our product vision leveraging AI and LLMs in line with customer needs +Execute machine learning projects end-to-end: understanding user-facing requirements, data gathering and transformation, exploratory data analysis, model productionization, maintenance and support, continuous improvement +Shape our ML platform (ML / LLM Ops) by defining the requirements and/or designing and implementing parts of it in collaboration with our data platform and DevOps teams + + +Our Tech stack (Data): Microsoft Azure, Python, Kubernetes, Docker, Terraform, MongoDB, Redis (more technologies will added as we build our data and Machine Learning platforms) + +What You Bring To The Table + + +7+ years of experience as a data scientist or machine learning engineer +Experience working with NLP, LLMs and information retrieval; experience with LLMs in a production environment is a strong plus +Strong proficiency in Python, proficiency with SQL +Experience working with big data technologies (e.g. Spark) and using ML Ops platforms (e.g. MLFlow) +Experience with owning the ML process end-to-end: translating product requirements into technical requirements, data gathering/transformation and exploration, model productionization, maintenance, monitoring and optimization +Experience in leading medium-sized technical projects (3-9 months roadmap) +Strong spoken and written communication skills in English + + +WHAT'S IN IT FOR YOU? + + +Be part of a dynamic, driven team of +20 nationalities with flat hierarchies and collaborative company culture. +Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days. +Attractive compensation package. +Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth. +Flexible working hours, 28 vacation days and workation opportunities. +Enjoy unlimited access to a variety of fitness, yoga, and leisure activities via Wellpass. +Leverage exclusive offers with our corporate benefits portal, giving you access to compelling deals from leading brands. +Regular team events, game nights, and other social activities. +And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks. +Is something missing here? Reach out and let's talk about what else you need for your ideal next growth opportunity. + + +Your Recruiting Process At Parloa + +Recruiter video call → Hiring Manager Interview → Technical Stage (Coding Challenge + Machine Learning Case Study) → Meeting the team + +Why Parloa? + +Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 250 people in Berlin, Munich, and New York. + +When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $66 million Series B investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. + +Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. + +Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. + + +We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics. +Show more ","
+ + + + + +
+
+ YOUR MISSION

As a Senior Machine Learning Engineer - Data Science (f/m/d)*, you will work on Parloa’s machine learning models and related software components that power our generative AI and NLU products. You will become a member of Parloa’s AI & Data Science Team that owns machine learning models and frameworks that power our product as well as the ML operations platform. You will work closely with product teams to help them solve customer problems with machine learning and AI. You will leverage cutting edge technologies to keep sharpening Parloa’s competitive edge to transform the entire customer service industry with AI.

In This Role You Will

  • Take ownership of data science and machine learning projects that help us improve our generative AI product suite
  • Work closely with product management, design and product engineers to shape requirements and our product vision leveraging AI and LLMs in line with customer needs
  • Execute machine learning projects end-to-end: understanding user-facing requirements, data gathering and transformation, exploratory data analysis, model productionization, maintenance and support, continuous improvement
  • Shape our ML platform (ML / LLM Ops) by defining the requirements and/or designing and implementing parts of it in collaboration with our data platform and DevOps teams

Our Tech stack (Data): Microsoft Azure, Python, Kubernetes, Docker, Terraform, MongoDB, Redis (more technologies will added as we build our data and Machine Learning platforms)

What You Bring To The Table

  • 7+ years of experience as a data scientist or machine learning engineer
  • Experience working with NLP, LLMs and information retrieval; experience with LLMs in a production environment is a strong plus
  • Strong proficiency in Python, proficiency with SQL
  • Experience working with big data technologies (e.g. Spark) and using ML Ops platforms (e.g. MLFlow)
  • Experience with owning the ML process end-to-end: translating product requirements into technical requirements, data gathering/transformation and exploration, model productionization, maintenance, monitoring and optimization
  • Experience in leading medium-sized technical projects (3-9 months roadmap)
  • Strong spoken and written communication skills in English

WHAT'S IN IT FOR YOU?

  • Be part of a dynamic, driven team of +20 nationalities with flat hierarchies and collaborative company culture.
  • Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days.
  • Attractive compensation package.
  • Training and development budget which can be used for conferences and attending development courses to ensure continuous professional growth.
  • Flexible working hours, 28 vacation days and workation opportunities.
  • Enjoy unlimited access to a variety of fitness, yoga, and leisure activities via Wellpass.
  • Leverage exclusive offers with our corporate benefits portal, giving you access to compelling deals from leading brands.
  • Regular team events, game nights, and other social activities.
  • And last but not least: a beautiful office with flair in the heart of Berlin with all the conveniences, such as adjustable desks, social area, fresh fruits, cereals and drinks.
  • Is something missing here? Reach out and let's talk about what else you need for your ideal next growth opportunity.

Your Recruiting Process At Parloa

Recruiter video call → Hiring Manager Interview → Technical Stage (Coding Challenge + Machine Learning Case Study) → Meeting the team

Why Parloa?

Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 250 people in Berlin, Munich, and New York.

When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $66 million Series B investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey.

Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.

Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

  • We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
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",2024-08-01,[] +3984390129,https://de.linkedin.com/jobs/view/data-scientist-data-analyst-all-genders-at-forvis-mazars-in-germany-3984390129?position=24&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=FZyEKtvjOt%2Bt81lXGq8JsA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist / Data Analyst (all genders),Forvis Mazars in Germany,"Berlin, Berlin, Germany","Das erwartet Dich + + +Du begleitest unsere nationalen und internationalen Mandant*innen bei der Transformation der Steuerabteilung. An der Schnittstelle zwischen Steuerrecht und Technologie berätst du bei der Konzeption und Umsetzung von Datenstrategien. +Du wirkst maßgeblich beim Aufbau der datengetriebenen Produkte und Services wie z.B. Real-Time Reporting und Dataquality Dashboard von der Produktentwicklung bis hin zur Markteinführung mit. +Du übernimmst die Analyse und Visualisierung steuerrelevanter Daten. +Darüber hinaus bearbeitest du Mandantenausschreibungen und gestaltest mit deinem Know-how und deinen Ideen den Bereich Data & Analytics im Digital Tax Team aktiv mit. + + +Das bringst Du mit + + +Abgeschlossenes Studium der (Wirtschafts-)Informatik, des Wirtschaftsingenieurswesen oder eines thematisch verwandten Studiengangs +Erste praktische Erfahrung im Bereich Data & Analytics im Rahmen von Praktika oder Werkstudententätigkeiten +Grundlegende Kenntnisse in Python oder R sowie im Bereich Datenmodellierung, Datenarchitektur und/oder Datenvisualisierung +Erfahrung im Umgang mit Microsoft Azure (Azure Synapse, Stream Analytics etc.) und hast Freude an Technologien und Kreativität bei deren Anwendung im steuernahen Umfeld. +Sehr gute Kommunikationsfähigkeiten in Deutsch und gute Kenntnisse in Englisch + + +Darum Mazars + + +Lass dich fördern – Zahlreiche Entwicklungsprogramme und Trainingsangebote auf unserer globalen Lernplattform, darunter individuelle Lernpfade, Grundlagenschulungen, Offsites sowie Zugang zu LinkedIn Learning für deine persönliche und fachliche Entwicklung +Wir investieren in dich – Finanzielle Förderung von Berufsexamina sowie weiteren berufsrelevanten Qualifizierungen +Auf zu neuen Horizonten – Perspektivwechsel durch einen Auslandsaufenthalt oder Möglichkeit der Mitwirkung bei übergreifenden Projekten in Bereichen wie Innovation und Nachhaltigkeit +Wir bleiben in Bewegung – Ob mit dem BusinessBike ins Office oder beim After-Work-Fitness dank der Flatrate von Urban Sports Club +Dein Wellbeing ist uns wichtig – Individuelle Coachings, Teamworkshops sowie Zugang zu kostenlosen, anonymen Beratungsangeboten bei beruflichen oder privaten Herausforderungen für dich und deine Angehörigen +Deine Zeit zählt – Mobiles Arbeiten, 30 Tage Urlaub sowie bezuschusste Wertkonten für eine flexible Arbeitszeitgestaltung (z.B. Sabbatical) +Show more ","
+ + + + + +
+
+ Das erwartet Dich

  • Du begleitest unsere nationalen und internationalen Mandant*innen bei der Transformation der Steuerabteilung. An der Schnittstelle zwischen Steuerrecht und Technologie berätst du bei der Konzeption und Umsetzung von Datenstrategien.
  • Du wirkst maßgeblich beim Aufbau der datengetriebenen Produkte und Services wie z.B. Real-Time Reporting und Dataquality Dashboard von der Produktentwicklung bis hin zur Markteinführung mit.
  • Du übernimmst die Analyse und Visualisierung steuerrelevanter Daten.
  • Darüber hinaus bearbeitest du Mandantenausschreibungen und gestaltest mit deinem Know-how und deinen Ideen den Bereich Data & Analytics im Digital Tax Team aktiv mit.

Das bringst Du mit

  • Abgeschlossenes Studium der (Wirtschafts-)Informatik, des Wirtschaftsingenieurswesen oder eines thematisch verwandten Studiengangs
  • Erste praktische Erfahrung im Bereich Data & Analytics im Rahmen von Praktika oder Werkstudententätigkeiten
  • Grundlegende Kenntnisse in Python oder R sowie im Bereich Datenmodellierung, Datenarchitektur und/oder Datenvisualisierung
  • Erfahrung im Umgang mit Microsoft Azure (Azure Synapse, Stream Analytics etc.) und hast Freude an Technologien und Kreativität bei deren Anwendung im steuernahen Umfeld.
  • Sehr gute Kommunikationsfähigkeiten in Deutsch und gute Kenntnisse in Englisch

Darum Mazars

  • Lass dich fördern – Zahlreiche Entwicklungsprogramme und Trainingsangebote auf unserer globalen Lernplattform, darunter individuelle Lernpfade, Grundlagenschulungen, Offsites sowie Zugang zu LinkedIn Learning für deine persönliche und fachliche Entwicklung
  • Wir investieren in dich – Finanzielle Förderung von Berufsexamina sowie weiteren berufsrelevanten Qualifizierungen
  • Auf zu neuen Horizonten – Perspektivwechsel durch einen Auslandsaufenthalt oder Möglichkeit der Mitwirkung bei übergreifenden Projekten in Bereichen wie Innovation und Nachhaltigkeit
  • Wir bleiben in Bewegung – Ob mit dem BusinessBike ins Office oder beim After-Work-Fitness dank der Flatrate von Urban Sports Club
  • Dein Wellbeing ist uns wichtig – Individuelle Coachings, Teamworkshops sowie Zugang zu kostenlosen, anonymen Beratungsangeboten bei beruflichen oder privaten Herausforderungen für dich und deine Angehörigen
  • Deine Zeit zählt – Mobiles Arbeiten, 30 Tage Urlaub sowie bezuschusste Wertkonten für eine flexible Arbeitszeitgestaltung (z.B. Sabbatical)
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+ + + + + + + + + + + + + + + + + + +
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",2024-07-25,[] +3992481611,https://de.linkedin.com/jobs/view/data-scientist-f-m-d-at-e-on-digital-technology-3992481611?position=25&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=Kwq4s6FW8BMSIgwg8Y5RKw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (f/m/d),E.ON Digital Technology,"Berlin, Berlin, Germany","You have a passion for technology and want to make the world a greener place? + +Then become a changemaker (f/m/d) and join our team as Data Scientist (f/m/d) at E.ON Digital Technology (EDT). + +E.ON Digital Technology plays a key role in shaping the energy transition by leading E.ON’s digital transformation across Europe. We explore new paths through developing ideas, breaking new ground, making visions reality, and bringing new technologies to life. In flexible working models and teams, we deliver sustainable technology solutions to meet the energy challenges of tomorrow. + +About The Team + +In this position, you will be part of our Chapter Data & AI Engineering. The chapter Technology & Engineering - Data & AI Engineering represents all experts who deliver data and AI engineering capabilities to our product teams. These experts are organized together to enhance those functional skillsets, improve E.ON’s MLOps & AIOps tech stack and deliver a high level of data delivery & model automation. + +The products you will be working on belong to our team Digital Solutions - Future Energy Home. This team develops and operates software to manage home energy devices such as photovoltaic, inverters, batteries, EV charging wall boxes, heat pumps and meters as a cloud-based solution for our central and local units so they can rollout those solutions to the end-customers. We integrate with numerous vendors’ devices and apply centralized insights, analytics and control mechanisms for these devices. + +meaningful & challenging - Your tasks + + +Perform advanced data analysis using statistical and machine learning techniques to solve critical business problems and enhance decision-making processes in the home energy management systems domain +Collaborate with other departments and business units while working in cross-functional teams to identify opportunities for leveraging data +Design and implement predictive models and forecasting algorithms with the purpose of marketing B2C flexibility (demand flexibility to manage energy flow through EV cars, PV, batteries and Heat pumps) in different energy markets, e.g. Day-ahead, Intraday, Frequency containment reserve, etc. +Design and implement aggregation and disaggregation strategies with the purpose of best serving our internal market access provider as well as our business partners (regional units) + + + +authentic & ambitious - Your profile + + +Advanced degree (Master’s or PhD (f/m/d)) in Data Science, Statistics, Computer Science, Mathematics, or a related field +Multiple years of experience in data science or a related field, with a proven track record of leading successful data-driven projects +Expertise in programming languages such as Python, and experience with data manipulation tools (SQL, Pandas) and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) +Excellent communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and influence business decisions +Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and strategies + + + +smart & useful - Our benefits + + +We provide full flexibility: Do your work from home or any other place in Germany - of course including all our great offices from Hamburg to Munich. You want even more? Go on workation for up to 20 days per year within Europe. +Recharge your battery: You have 30 holidays per year plus Christmas and New Year's Eve on top. Your battery still needs charging? You can exchange parts of your salary for more holidays or you can take a sabbatical. +Your development: We grow and we want you to grow with us. Learning on the job, exchanging with others or taking part in an individual training - Our learning culture enables you to bring your personal and professional development to the next level. +Let’s empower each other: Take the opportunity to engage in our Digital Empowerment Communities for collaboration, learning, and network building. +We elevate your mobility: From car and bike leasing offers to a subsidised Deutschland-Ticket - your way is our way. +Let’s think ahead: With our company pension scheme and a great insurance package we take care of your future. +This is by far not all: We are looking forward to speaking with you about further benefits during the recruiting process. + + + +Do you have questions? + +For further information please contact Janina Gilch, janina.gilch.external@eon.com. + +Please understand that for data protection reasons we can only accept applications submitted via our portal. Unfortunately, we cannot consider application documents that reach us by email or post. + +What you need to know: + +Job Req ID: 229683 + +Contract type: Permanent + +Working time: Part or Full time + +Company: E.ON Digital Technology GmbH + +Location: Essen, Hannover, Würzburg, München, Berlin, Hamburg, Frankfurt am Main + +Function area: IT/Digital; Data / IoT; Engineering +Show more ","
+ + + + + +
+
+ You have a passion for technology and want to make the world a greener place?

Then become a changemaker (f/m/d) and join our team as Data Scientist (f/m/d) at E.ON Digital Technology (EDT).

E.ON Digital Technology plays a key role in shaping the energy transition by leading E.ON’s digital transformation across Europe. We explore new paths through developing ideas, breaking new ground, making visions reality, and bringing new technologies to life. In flexible working models and teams, we deliver sustainable technology solutions to meet the energy challenges of tomorrow.

About The Team

In this position, you will be part of our Chapter Data & AI Engineering. The chapter Technology & Engineering - Data & AI Engineering represents all experts who deliver data and AI engineering capabilities to our product teams. These experts are organized together to enhance those functional skillsets, improve E.ON’s MLOps & AIOps tech stack and deliver a high level of data delivery & model automation.

The products you will be working on belong to our team Digital Solutions - Future Energy Home. This team develops and operates software to manage home energy devices such as photovoltaic, inverters, batteries, EV charging wall boxes, heat pumps and meters as a cloud-based solution for our central and local units so they can rollout those solutions to the end-customers. We integrate with numerous vendors’ devices and apply centralized insights, analytics and control mechanisms for these devices.

meaningful & challenging - Your tasks

  • Perform advanced data analysis using statistical and machine learning techniques to solve critical business problems and enhance decision-making processes in the home energy management systems domain
  • Collaborate with other departments and business units while working in cross-functional teams to identify opportunities for leveraging data
  • Design and implement predictive models and forecasting algorithms with the purpose of marketing B2C flexibility (demand flexibility to manage energy flow through EV cars, PV, batteries and Heat pumps) in different energy markets, e.g. Day-ahead, Intraday, Frequency containment reserve, etc.
  • Design and implement aggregation and disaggregation strategies with the purpose of best serving our internal market access provider as well as our business partners (regional units)


authentic & ambitious - Your profile

  • Advanced degree (Master’s or PhD (f/m/d)) in Data Science, Statistics, Computer Science, Mathematics, or a related field
  • Multiple years of experience in data science or a related field, with a proven track record of leading successful data-driven projects
  • Expertise in programming languages such as Python, and experience with data manipulation tools (SQL, Pandas) and machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
  • Excellent communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and influence business decisions
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and strategies


smart & useful - Our benefits

  • We provide full flexibility: Do your work from home or any other place in Germany - of course including all our great offices from Hamburg to Munich. You want even more? Go on workation for up to 20 days per year within Europe.
  • Recharge your battery: You have 30 holidays per year plus Christmas and New Year's Eve on top. Your battery still needs charging? You can exchange parts of your salary for more holidays or you can take a sabbatical.
  • Your development: We grow and we want you to grow with us. Learning on the job, exchanging with others or taking part in an individual training - Our learning culture enables you to bring your personal and professional development to the next level.
  • Let’s empower each other: Take the opportunity to engage in our Digital Empowerment Communities for collaboration, learning, and network building.
  • We elevate your mobility: From car and bike leasing offers to a subsidised Deutschland-Ticket - your way is our way.
  • Let’s think ahead: With our company pension scheme and a great insurance package we take care of your future.
  • This is by far not all: We are looking forward to speaking with you about further benefits during the recruiting process.


Do you have questions?

For further information please contact Janina Gilch, janina.gilch.external@eon.com.

Please understand that for data protection reasons we can only accept applications submitted via our portal. Unfortunately, we cannot consider application documents that reach us by email or post.

What you need to know:

Job Req ID: 229683

Contract type: Permanent

Working time: Part or Full time

Company: E.ON Digital Technology GmbH

Location: Essen, Hannover, Würzburg, München, Berlin, Hamburg, Frankfurt am Main

Function area: IT/Digital; Data / IoT; Engineering +
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+ +
",2024-08-05,[] +3979177372,https://de.linkedin.com/jobs/view/artificial-intelligence-engineer-at-eurobase-people-3979177372?position=27&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=17tx6kgx1ttXXyfC4QRMTw%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence Engineer,Eurobase People,"Berlin, Germany","Founded in December 2022, our company has swiftly made its mark in the mobile world. In 2023, we developed several apps and games that reached the #1 spot in the App Store across 3 continents. Backed by some of the world's most esteemed investors, we are rapidly growing and reaching millions of users. We're looking to bring together the smartest individuals to achieve our mission to redefine the social gaming landscape. + + + + +Tasks + +Design and Implement AI Systems: Develop and implement the AI architecture from the ground up, focusing on creating a seamless and dynamic interaction between characters and the game environment. +AI Modeling and Simulation: Build models for perception, intention, and action layers using advanced machine learning techniques. +Integration of AI with Game Engine: Ensure smooth integration of AI models with the GoDot game engine, managing real-time data exchange and action execution within the game. +Continuous Learning and Optimization: Implement mechanisms for real-time learning and memory updates using feedback from game interactions, improving character behaviors and decision-making processes over time. +Collaboration and Communication: Work closely with game developers, backend developers, and project managers to ensure that AI components align with overall game design and project goals. +Performance Monitoring: Monitor and optimize the performance of AI systems, ensuring they meet the requirements for speed and efficiency in a real-time gaming context. +Documentation and Reporting: Maintain thorough documentation for all AI systems developed and provide regular updates to the development team and stakeholders. + + + + +Requirements + +Advanced Degree in Computer Science, AI, Machine Learning, or related field. +Proven experience in AI development, preferably in the gaming industry or a similar real-time interactive environment. +Strong programming skills in Python, TypeScript, or other relevant languages. +Experience with AI frameworks and tools such as TensorFlow, PyTorch, OpenAI GPT, etc. +Familiarity with vector databases like Pinecone and experience in handling large-scale data. +Strong problem-solving skills and ability to work in a fast-paced, dynamic environment. +Excellent communication and teamwork skills. + + + + +Benefits + +Salary: You'll earn more than in your previous job. +Prime Berlin Office: Our Berlin Mitte office boasts state-of-the-art amenities, including Apple Studio Displays and Herman Miller chairs. +Full Commute Reimbursement: We cover 100% of your commuting costs. +Gym Membership: Stay fit and healthy on us. +Visa Sponsorship & Assistance: We support your visa process and guide you through all the paperwork. +Stock Options: Benefit from our competitive stock option program. +Bureaucratic Support: Assistance with German social security, tax forms, and other necessary paperwork. + + + + +If this sounds like it could be an interesting fit, send your email to harry.cook@eurobase.com - Looking forward to receiving your application! :) + +Show more ","
+ + + + + +
+
+

Founded in December 2022, our company has swiftly made its mark in the mobile world. In 2023, we developed several apps and games that reached the #1 spot in the App Store across 3 continents. Backed by some of the world's most esteemed investors, we are rapidly growing and reaching millions of users. We're looking to bring together the smartest individuals to achieve our mission to redefine the social gaming landscape.


Tasks

  1. Design and Implement AI Systems: Develop and implement the AI architecture from the ground up, focusing on creating a seamless and dynamic interaction between characters and the game environment.
  2. AI Modeling and Simulation: Build models for perception, intention, and action layers using advanced machine learning techniques.
  3. Integration of AI with Game Engine: Ensure smooth integration of AI models with the GoDot game engine, managing real-time data exchange and action execution within the game.
  4. Continuous Learning and Optimization: Implement mechanisms for real-time learning and memory updates using feedback from game interactions, improving character behaviors and decision-making processes over time.
  5. Collaboration and Communication: Work closely with game developers, backend developers, and project managers to ensure that AI components align with overall game design and project goals.
  6. Performance Monitoring: Monitor and optimize the performance of AI systems, ensuring they meet the requirements for speed and efficiency in a real-time gaming context.
  7. Documentation and Reporting: Maintain thorough documentation for all AI systems developed and provide regular updates to the development team and stakeholders.


Requirements

  • Advanced Degree in Computer Science, AI, Machine Learning, or related field.
  • Proven experience in AI development, preferably in the gaming industry or a similar real-time interactive environment.
  • Strong programming skills in Python, TypeScript, or other relevant languages.
  • Experience with AI frameworks and tools such as TensorFlow, PyTorch, OpenAI GPT, etc.
  • Familiarity with vector databases like Pinecone and experience in handling large-scale data.
  • Strong problem-solving skills and ability to work in a fast-paced, dynamic environment.
  • Excellent communication and teamwork skills.


Benefits

  • Salary: You'll earn more than in your previous job.
  • Prime Berlin Office: Our Berlin Mitte office boasts state-of-the-art amenities, including Apple Studio Displays and Herman Miller chairs.
  • Full Commute Reimbursement: We cover 100% of your commuting costs.
  • Gym Membership: Stay fit and healthy on us.
  • Visa Sponsorship & Assistance: We support your visa process and guide you through all the paperwork.
  • Stock Options: Benefit from our competitive stock option program.
  • Bureaucratic Support: Assistance with German social security, tax forms, and other necessary paperwork.


If this sounds like it could be an interesting fit, send your email to harry.cook@eurobase.com - Looking forward to receiving your application! :)

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",2024-07-18,[] +3975194728,https://de.linkedin.com/jobs/view/senior-data-scientist-d-f-m-large-scale-machine-learning-at-aignostics-3975194728?position=29&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=v2MZAqmenk7VEIsSyOTbDA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist (d/f/m) - Large-scale Machine Learning,Aignostics,"Berlin, Berlin, Germany","Why us? + +We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in. + +Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $20M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies. + +As a Senior Data Scientist in Aignostic's foundation model team you will work on our self-supervised base models. Together with collaborators in academia and industry you will push the state of the art in large-scale machine learning for digital pathology. Within our team of experts on large-scale machine learning and data handling, you will work on improving, benchmarking and extending our family of best-in-class foundations models, bridging image, text and other pathology data modalities. Moreover, using our foundation models you will contribute to developing prototypes for new applications to assist pathologists and generate new insights for improving cancer treatment. + +At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be. + +Where your expertise is needed + + +Plan and execute interdisciplinary projects connecting machine learning, software engineering and biomedical domain knowledge +Research, pilot and evaluate novel computer vision approaches for extracting insight from high-resolution biological images +Transform proof-of-concept machine learning models into automated, tested and production-ready systems +Support and mentor junior colleagues +Clearly communicate your results in internal and external presentations + + +What we are looking for + + +Ph.D or MSc. in a relevant field, e.g. Computer Science, Machine Learning or Bioinformatics +Eagerness to lead initiatives, learn new technologies and excel in a complex space +Solid theoretical foundations and several years of experience developing novel machine learning techniques +Experience with developing large-scale self-supervised deep learning models (""Foundation Models"") for vision or language applications +Advanced skills in Python, Linux, cloud computing and machine learning software stacks +Passion for clean code and high standards for quality assurance +Ability to independently define, organize and complete research projects +Excellent communication and team working skills + + +Bonus points for + + +Exposure to biomedical data +Leadership experience in a research context +Hands-on experience with developing and integrating Vision Language Models (VLMs) +Experience in considering Information Security criteria under ISO 27001 + + +We are still keen to hear from you if you don't match all the above points! Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time. + +Our offer + + +Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference! +Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners +Work with a welcoming, diverse and highly international team of colleagues +Opportunity to take responsibility and grow your role within the startup +Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs +Mentoring program, you’ll learn from great experts +Flexible working hours and teleworking policy +Enjoy your well-deserved time off within our 28 paid vacations days per year +We are family & pet friendly and support flexible parental leave options +Pick a subsidized membership of your choice among public transport sports and well-being +Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment + + +Join us to make a difference! + +About Us + +aignostics.com +Show more ","
+ + + + + +
+
+ Why us?

We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in.

Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $20M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies.

As a Senior Data Scientist in Aignostic's foundation model team you will work on our self-supervised base models. Together with collaborators in academia and industry you will push the state of the art in large-scale machine learning for digital pathology. Within our team of experts on large-scale machine learning and data handling, you will work on improving, benchmarking and extending our family of best-in-class foundations models, bridging image, text and other pathology data modalities. Moreover, using our foundation models you will contribute to developing prototypes for new applications to assist pathologists and generate new insights for improving cancer treatment.

At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be.

Where your expertise is needed

  • Plan and execute interdisciplinary projects connecting machine learning, software engineering and biomedical domain knowledge
  • Research, pilot and evaluate novel computer vision approaches for extracting insight from high-resolution biological images
  • Transform proof-of-concept machine learning models into automated, tested and production-ready systems
  • Support and mentor junior colleagues
  • Clearly communicate your results in internal and external presentations

What we are looking for

  • Ph.D or MSc. in a relevant field, e.g. Computer Science, Machine Learning or Bioinformatics
  • Eagerness to lead initiatives, learn new technologies and excel in a complex space
  • Solid theoretical foundations and several years of experience developing novel machine learning techniques
  • Experience with developing large-scale self-supervised deep learning models (""Foundation Models"") for vision or language applications
  • Advanced skills in Python, Linux, cloud computing and machine learning software stacks
  • Passion for clean code and high standards for quality assurance
  • Ability to independently define, organize and complete research projects
  • Excellent communication and team working skills

Bonus points for

  • Exposure to biomedical data
  • Leadership experience in a research context
  • Hands-on experience with developing and integrating Vision Language Models (VLMs)
  • Experience in considering Information Security criteria under ISO 27001

We are still keen to hear from you if you don't match all the above points! Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time.

Our offer

  • Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
  • Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
  • Work with a welcoming, diverse and highly international team of colleagues
  • Opportunity to take responsibility and grow your role within the startup
  • Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs
  • Mentoring program, you’ll learn from great experts
  • Flexible working hours and teleworking policy
  • Enjoy your well-deserved time off within our 28 paid vacations days per year
  • We are family & pet friendly and support flexible parental leave options
  • Pick a subsidized membership of your choice among public transport sports and well-being
  • Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment

Join us to make a difference!

About Us

aignostics.com +
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",2024-07-15,[] +3989154159,https://de.linkedin.com/jobs/view/ai-platform-engineer-at-skills-alliance-3989154159?position=30&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=Mbi3JYh633OYgkGAjUIFuA%3D%3D&trk=public_jobs_jserp-result_search-card,AI Platform Engineer,Skills Alliance,"Berlin, Germany","AI Platform Engineer + +An exciting biotech company dedicated to discovering and developing medicines for neurological disorders specifically within the small molecule space is looking for a new AI based Platform Engineer to join their growing team on a hybrid/remote basis. + + + + +Responsibilities: + +Collaborate with the AI team to set project goals, develop strategic plans, and create product roadmaps. +Understand platform components to guide decisions and enhance scalability and interoperability. +Apply MLOps principles to transition machine learning models to production. +Write production-quality code, maintain documentation, and report progress. + + + + +Required Skills and Experience: + +Advanced Python skills, with knowledge of Tensorflow, PyTorch, and Pandas. +Experience in ETL processes, data modeling, data architecture, and data pipeline development. +Proficiency with graph databases (e.g., RDF, Neo4j) and query languages (e.g., SPARQL, Cypher); knowledge of relational databases is a plus. +Proven experience deploying machine learning models, especially in NLP or deep learning, in production. +Ability to work independently within a cross-functional team. +2-3 years of industry experience, preferably in life sciences. +[Preferred] Experience with life science/drug discovery data and biomedical ontologies. +[Preferred] Ability to collaborate with data scientists, data architects, bioinformaticians, and cheminformaticians. + +Show more ","
+ + + + + +
+
+

AI Platform Engineer

An exciting biotech company dedicated to discovering and developing medicines for neurological disorders specifically within the small molecule space is looking for a new AI based Platform Engineer to join their growing team on a hybrid/remote basis.


Responsibilities:

  • Collaborate with the AI team to set project goals, develop strategic plans, and create product roadmaps.
  • Understand platform components to guide decisions and enhance scalability and interoperability.
  • Apply MLOps principles to transition machine learning models to production.
  • Write production-quality code, maintain documentation, and report progress.


Required Skills and Experience:

  • Advanced Python skills, with knowledge of Tensorflow, PyTorch, and Pandas.
  • Experience in ETL processes, data modeling, data architecture, and data pipeline development.
  • Proficiency with graph databases (e.g., RDF, Neo4j) and query languages (e.g., SPARQL, Cypher); knowledge of relational databases is a plus.
  • Proven experience deploying machine learning models, especially in NLP or deep learning, in production.
  • Ability to work independently within a cross-functional team.
  • 2-3 years of industry experience, preferably in life sciences.
  • [Preferred] Experience with life science/drug discovery data and biomedical ontologies.
  • [Preferred] Ability to collaborate with data scientists, data architects, bioinformaticians, and cheminformaticians.

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",2024-08-02,[] +3990663829,https://de.linkedin.com/jobs/view/freelance-data-scientist-at-intapeople-stem-recruitment-3990663829?position=31&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=Ia3Mdx4uXJGNXQT%2BRGir6g%3D%3D&trk=public_jobs_jserp-result_search-card,Freelance Data Scientist,IntaPeople: STEM Recruitment,"Berlin, Berlin, Germany","Freelance Data Scientist + +IntaPeople are working with an innovative tech client based in Berlin, Germany. They have plans to add a skilled Data Scientist/Researcher role to the research team. We are searching for a machine learning specialist with a solid foundation in algorithm development and computer vision. + +You will directly influence how the stack is shaped for rail applications in this capacity. In order to produce functional prototypes, you will do research on cutting-edge deep learning and processing technologies. Additionally, you will collaborate closely with software engineers to create effective embedded versions of your concepts. + +Your role: + +Joining a dynamic group of researchers and data scientists in research and development +Building the sophisticated neuromorphic vision system pipelines +Creating filters for event-based cameras to reduce noise +Combining and adjusting data to account for vibration and self-motion effects +Creating algorithms for event-based camera processing + +Experience required: + +PhD or master's degree, ideally in a related discipline such as engineering, physics, computer science, or mathematics. +Professional background with a track record of demonstrating machine learning applications. +Python programming abilities and a firm grasp of C++. +Profound knowledge of mathematics, especially linear algebra. +Proficiency in deep learning and image processing is highly advantageous. +Having prior experience with FPGA, OpenCL, GPU-based implementation, embedded systems, and parallelisation is a plus. +It is required to speak and write English fluently. + +Apply now to be considered! + +Show more ","
+ + + + + +
+
+

Freelance Data Scientist

IntaPeople are working with an innovative tech client based in Berlin, Germany. They have plans to add a skilled Data Scientist/Researcher role to the research team. We are searching for a machine learning specialist with a solid foundation in algorithm development and computer vision.

You will directly influence how the stack is shaped for rail applications in this capacity. In order to produce functional prototypes, you will do research on cutting-edge deep learning and processing technologies. Additionally, you will collaborate closely with software engineers to create effective embedded versions of your concepts.

Your role:

  • Joining a dynamic group of researchers and data scientists in research and development
  • Building the sophisticated neuromorphic vision system pipelines
  • Creating filters for event-based cameras to reduce noise
  • Combining and adjusting data to account for vibration and self-motion effects
  • Creating algorithms for event-based camera processing

Experience required:

  • PhD or master's degree, ideally in a related discipline such as engineering, physics, computer science, or mathematics.
  • Professional background with a track record of demonstrating machine learning applications.
  • Python programming abilities and a firm grasp of C++.
  • Profound knowledge of mathematics, especially linear algebra.
  • Proficiency in deep learning and image processing is highly advantageous.
  • Having prior experience with FPGA, OpenCL, GPU-based implementation, embedded systems, and parallelisation is a plus.
  • It is required to speak and write English fluently.

Apply now to be considered!

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",2024-08-02,[] +3957890696,https://de.linkedin.com/jobs/view/software-engineer-at-opus-recruitment-solutions-3957890696?position=34&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=w%2FXScOWQNvmJ3Ow7aCk8sg%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,Opus Recruitment Solutions,"Berlin, Germany","Software Engineer || Python | TypeScript || Berlin || Green FinTech + + + + +Are you keen to put your stamp on the climate revolution and be a part of accelerating sustainable energy transition on a global scale? This well-funded start up is on a mission to provide digital financing solutions for green infrastructure and hardware! Join now to be a part of an ambitious and driven team, working with the latest tech to create a more sustainable ecosystem! + + + + +Who you are: + +Software Engineer with a strong background in Python and TypeScript +Experienced in developing technical solutions for financial services +Prior experience in a startup environment would be a plus! +Innovative thinker and creative problem-solver +Excellent communication skills - English is a must, German would be a bonus! +Tech stack includes: Python, TypeScript, AWS, CI/CD, DevOps + + + + +What you will do: + +Work on the architecture and development of their platform +Keep on top of market trends and utilise latest technology to improve efficiency of the platform +Work cross-collaboratively to produce high-quality technical solutions +Ensure best practices and produce scalable and maintainable code +Communicate with customers and clients and translate business requirements into efficient code + + + + +What you can expect: + +Competitive salary based on experience +Unique vacation packages +Working with the latest tech and learning about climate technologies +A fun and passionate team with social outings and activities + + + + +APPLY NOW!! Contact shana.yogarajah@opusrs.com for further information + +Show more ","
+ + + + + +
+
+

Software Engineer || Python | TypeScript || Berlin || Green FinTech


Are you keen to put your stamp on the climate revolution and be a part of accelerating sustainable energy transition on a global scale? This well-funded start up is on a mission to provide digital financing solutions for green infrastructure and hardware! Join now to be a part of an ambitious and driven team, working with the latest tech to create a more sustainable ecosystem!


Who you are:

  • Software Engineer with a strong background in Python and TypeScript
  • Experienced in developing technical solutions for financial services
  • Prior experience in a startup environment would be a plus!
  • Innovative thinker and creative problem-solver
  • Excellent communication skills - English is a must, German would be a bonus!
  • Tech stack includes: Python, TypeScript, AWS, CI/CD, DevOps


What you will do:

  • Work on the architecture and development of their platform
  • Keep on top of market trends and utilise latest technology to improve efficiency of the platform
  • Work cross-collaboratively to produce high-quality technical solutions
  • Ensure best practices and produce scalable and maintainable code
  • Communicate with customers and clients and translate business requirements into efficient code


What you can expect:

  • Competitive salary based on experience
  • Unique vacation packages
  • Working with the latest tech and learning about climate technologies
  • A fun and passionate team with social outings and activities


APPLY NOW!! Contact shana.yogarajah@opusrs.com for further information

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",2024-07-22,[] +3985600586,https://de.linkedin.com/jobs/view/data-scientist-support-genai-at-wolt-3985600586?position=35&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=ElLW2qkCyufGovVo5svFoA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Support (GenAI)",Wolt,"Berlin, Berlin, Germany","Job Description + +We're looking for an awesome someone to join our Support Group, the development organization that builds our in-house customer service tooling. They work on topics like support chat, operational tooling for support agents, and self-service and automation. We see great opportunities for applying machine learning and AI in this domain, and are now strengthening the data science team there. + +We're looking for someone to work embedded in a cross-functional development team where the data scientists work together with engineers, designers, and product and analytics people owning that area and domain end to end. You would be contributing to projects that have visible business impact, owning the data science parts of the solution, and working through the whole lifecycle of the development process - from ideation to deployment and maintenance. + +Potential work topics can range from developing co-pilot tools for our support associates and AI assistants for our customers with the latest AI technologies, to working on more traditional machine learning and optimization problems. + +📍This role can be based in one of our tech hubs in Helsinki, Berlin or Stockholm, or you can work remotely anywhere in Finland, Sweden, or Germany. + +Our humble expectations + +What we hope from you is that you first and foremost identify yourself as a Data Science enthusiast. Solving problems and making a business impact via Data Science is what makes you jump for joy! + + +You have previous experience building Data Science, Machine Learning and AI solutions with a measurable impact. You understand how to build data products, and deeply care about the end user experience; +You also understand what it takes to build production-level ML and AI solutions. You have experience with real-time applications and large scale deployments, and can handle the entire life cycle of data science solutions from ideation to maintenance; +Deep understanding and experience with Machine Learning and AI, a solid understanding of Statistics, and experience and knowledge in NLP. Experience in working as a part of an engineering team, building solutions to complex problems with large scale and real-time requirements. +Interest towards LLMs and GenAI and their applications to solving problems in production. + + +Next Steps + +The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! + +The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie. + +For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Fernanda Prado (fernanda.prado.e.silva@wolt.com). + +About Wolt + +Wolt is a Helsinki-based technology company that provides an online platform for consumers, merchants and couriers. It connects people looking to order food and other goods with people interested in selling and delivering them. To enable this, Wolt develops a wide range of technologies from local logistics to retail software and financial solutions – as well as operating its own grocery stores under the Wolt Market brand. Wolt’s products include Wolt+ (subscription service for customers), Wolt for Work (meal benefits and office deliveries for companies), Wolt Drive (fast last-mile deliveries for merchants) and Wolt Self-Delivery (service for merchant partners with their own delivery staff). Wolt’s mission is to make cities better by empowering and growing local communities. Wolt was founded in 2014 and joined forces with DoorDash in 2022. DoorDash operates in 29 countries today, 25 of which are with the Wolt product and brand. + +Working in Product Development at Wolt + +At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people. + +The behind the scenes of Wolt is run by an awesome bunch of over 700+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 60 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way. + +Our Commitment to Diversity, Equity & Inclusion + +We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way. + +Join us today to build Wolt together. + + +Show more ","
+ + + + + +
+
+ Job Description

We're looking for an awesome someone to join our Support Group, the development organization that builds our in-house customer service tooling. They work on topics like support chat, operational tooling for support agents, and self-service and automation. We see great opportunities for applying machine learning and AI in this domain, and are now strengthening the data science team there.

We're looking for someone to work embedded in a cross-functional development team where the data scientists work together with engineers, designers, and product and analytics people owning that area and domain end to end. You would be contributing to projects that have visible business impact, owning the data science parts of the solution, and working through the whole lifecycle of the development process - from ideation to deployment and maintenance.

Potential work topics can range from developing co-pilot tools for our support associates and AI assistants for our customers with the latest AI technologies, to working on more traditional machine learning and optimization problems.

📍This role can be based in one of our tech hubs in Helsinki, Berlin or Stockholm, or you can work remotely anywhere in Finland, Sweden, or Germany.

Our humble expectations

What we hope from you is that you first and foremost identify yourself as a Data Science enthusiast. Solving problems and making a business impact via Data Science is what makes you jump for joy!

  • You have previous experience building Data Science, Machine Learning and AI solutions with a measurable impact. You understand how to build data products, and deeply care about the end user experience;
  • You also understand what it takes to build production-level ML and AI solutions. You have experience with real-time applications and large scale deployments, and can handle the entire life cycle of data science solutions from ideation to maintenance;
  • Deep understanding and experience with Machine Learning and AI, a solid understanding of Statistics, and experience and knowledge in NLP. Experience in working as a part of an engineering team, building solutions to complex problems with large scale and real-time requirements.
  • Interest towards LLMs and GenAI and their applications to solving problems in production.

Next Steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Fernanda Prado (fernanda.prado.e.silva@wolt.com).

About Wolt

Wolt is a Helsinki-based technology company that provides an online platform for consumers, merchants and couriers. It connects people looking to order food and other goods with people interested in selling and delivering them. To enable this, Wolt develops a wide range of technologies from local logistics to retail software and financial solutions – as well as operating its own grocery stores under the Wolt Market brand. Wolt’s products include Wolt+ (subscription service for customers), Wolt for Work (meal benefits and office deliveries for companies), Wolt Drive (fast last-mile deliveries for merchants) and Wolt Self-Delivery (service for merchant partners with their own delivery staff). Wolt’s mission is to make cities better by empowering and growing local communities. Wolt was founded in 2014 and joined forces with DoorDash in 2022. DoorDash operates in 29 countries today, 25 of which are with the Wolt product and brand.

Working in Product Development at Wolt

At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.

The behind the scenes of Wolt is run by an awesome bunch of over 700+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 60 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.

Our Commitment to Diversity, Equity & Inclusion

We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.

Join us today to build Wolt together.

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+ +
",2024-07-30,[] +3984930649,https://de.linkedin.com/jobs/view/junior-full-stack-data-scientist-at-fgs-global-3984930649?position=37&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=%2BunmgwRMPhFjW7bCHHfeRg%3D%3D&trk=public_jobs_jserp-result_search-card,(Junior) Full Stack Data Scientist,FGS Global,"Berlin, Germany","With over 1,300 team members across 30 offices on three continents, FGS Global is the world’s no. 1 strategic communications consultancy. In Europe, we are a team of more than 300 employees working in eight offices in Germany, Amsterdam, Brussels, Paris and Zurich. When the stakes are high for our clients, especially in critical and complex situations, we safeguard their reputation and advance dialogue with key stakeholders on their behalf. Our approach is integrated, our teams are diverse with experience from journalism, corporate communications, digital communications, politics and investor relations. + + + + +The way we communicate is undergoing a fundamental change. This also applies to our clients, who find themselves confronted with entirely new stakeholder groups. In our Stakeholder Intelligence & Engagement Team, we assist our clients in understanding their stakeholders through quantitative and qualitative data analysis and in reaching them with tailored strategies across all communicative touchpoints, convincing them of our clients' objectives. + + + + +Join our Berlin team as (Junior) Full Stack Data Scientist. + + + + +What tasks can you look forward to? + + + + +Processing, cleaning, transforming and analyzing vast amounts of complex data, be it with standard, locally-trained AI models and ML algorithms, cutting-edge LLMs and other APIs, or other data mining procedures. + + + + +Conveying the results of such analyses to audiences with different backgrounds: from business and communication experts, to data scientists, statisticians, and mathematicians, in the form of formal non-technical presentations, rigorous written reports, or informal conversations. + + + + +Complement the standard data science skillset by being actively involved in the deployment, maintenance, and productization of your data science pipelines. This component is essential to this position and would take ~20% of your workload. + + + + + + + +What should you bring along? + + + + +You are a motivated data scientist that is passionate about both data quality and code quality, graduated in an area that relies heavily on data and quantitative research. + + + + +You are proficient in the standard Python data science stack (e.g. numpy, scipy, sklearn, pandas) and have proven experience, or an eagerness to learn about, classical and modern NLP techniques. + + + + +You have proven experience in, or an eagerness to learn about, disciplines that complement the standard data science skillset, such as data engineering, software engineering, DevOps, MLOps, prompt engineering, QA/testing, etc. + + + + +You are open to learning new techniques, languages, tools, and theories that will enrich your knowledge base about data science and beyond. + + + + +Proven knowledge of Python is required, and will be demonstrated during the interview process. Experience in SQL, Javascript, or LookML is desirable. + + + + +You communicate fluently in written and spoken English. + + + + +You love variety and new challenges and really thrive when working in a team. + + + + + + + +What we can offer you + + + + +Highly attractive starting salary + + + + +An inspiring working environment as well as the opportunity to work at one of our international offices for a limited period of time + + + + +Exciting tasks and attractive development prospects + + + + +Induction and individual support from an experienced colleague + + + + +Deepening of your expertise with regard to different sectors and areas of competence through close cooperation of our integrated project teams + + + + +Continuous training opportunities (FGS Global Academy) + + + + +A dedicated, supportive and growing team + + + + +A corporate culture that combines excellence with team spirit + + + + +The opportunity to work flexibly both in our offices and from home + + + + +Don’t meet every single requirement? Please don’t worry! Studies have shown that some groups like women or people of color are less likely to apply to jobs unless they meet every single requirement. At FGS Global, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you’re excited about this role and our company but your previous professional experience doesn’t match perfectly with every qualification in the job description, we would like to encourage you to apply anyway. You may just be the right candidate for this or another role. + + + + +We look forward to your complete application (incl. all relevant academic and professional certificates and/or reference letters). Feel free to contact our HR team at +49 69 92 18 74-28 or by email at careers-eu@fgsglobal.com. + + + + +More information: FGS Global + +Show more ","
+ + + + + +
+
+

With over 1,300 team members across 30 offices on three continents, FGS Global is the world’s no. 1 strategic communications consultancy. In Europe, we are a team of more than 300 employees working in eight offices in Germany, Amsterdam, Brussels, Paris and Zurich. When the stakes are high for our clients, especially in critical and complex situations, we safeguard their reputation and advance dialogue with key stakeholders on their behalf. Our approach is integrated, our teams are diverse with experience from journalism, corporate communications, digital communications, politics and investor relations.


The way we communicate is undergoing a fundamental change. This also applies to our clients, who find themselves confronted with entirely new stakeholder groups. In our Stakeholder Intelligence & Engagement Team, we assist our clients in understanding their stakeholders through quantitative and qualitative data analysis and in reaching them with tailored strategies across all communicative touchpoints, convincing them of our clients' objectives.


Join our Berlin team as (Junior) Full Stack Data Scientist.


What tasks can you look forward to?


  • Processing, cleaning, transforming and analyzing vast amounts of complex data, be it with standard, locally-trained AI models and ML algorithms, cutting-edge LLMs and other APIs, or other data mining procedures.


  • Conveying the results of such analyses to audiences with different backgrounds: from business and communication experts, to data scientists, statisticians, and mathematicians, in the form of formal non-technical presentations, rigorous written reports, or informal conversations.


  • Complement the standard data science skillset by being actively involved in the deployment, maintenance, and productization of your data science pipelines. This component is essential to this position and would take ~20% of your workload.



What should you bring along?


  • You are a motivated data scientist that is passionate about both data quality and code quality, graduated in an area that relies heavily on data and quantitative research.


  • You are proficient in the standard Python data science stack (e.g. numpy, scipy, sklearn, pandas) and have proven experience, or an eagerness to learn about, classical and modern NLP techniques.


  • You have proven experience in, or an eagerness to learn about, disciplines that complement the standard data science skillset, such as data engineering, software engineering, DevOps, MLOps, prompt engineering, QA/testing, etc.


  • You are open to learning new techniques, languages, tools, and theories that will enrich your knowledge base about data science and beyond.


  • Proven knowledge of Python is required, and will be demonstrated during the interview process. Experience in SQL, Javascript, or LookML is desirable.


  • You communicate fluently in written and spoken English.


  • You love variety and new challenges and really thrive when working in a team.



What we can offer you


  • Highly attractive starting salary


  • An inspiring working environment as well as the opportunity to work at one of our international offices for a limited period of time


  • Exciting tasks and attractive development prospects


  • Induction and individual support from an experienced colleague


  • Deepening of your expertise with regard to different sectors and areas of competence through close cooperation of our integrated project teams


  • Continuous training opportunities (FGS Global Academy)


  • A dedicated, supportive and growing team


  • A corporate culture that combines excellence with team spirit


  • The opportunity to work flexibly both in our offices and from home


Don’t meet every single requirement? Please don’t worry! Studies have shown that some groups like women or people of color are less likely to apply to jobs unless they meet every single requirement. At FGS Global, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you’re excited about this role and our company but your previous professional experience doesn’t match perfectly with every qualification in the job description, we would like to encourage you to apply anyway. You may just be the right candidate for this or another role.


We look forward to your complete application (incl. all relevant academic and professional certificates and/or reference letters). Feel free to contact our HR team at +49 69 92 18 74-28 or by email at careers-eu@fgsglobal.com.


More information: FGS Global

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",2024-07-26,[] +3975173166,https://de.linkedin.com/jobs/view/freelance-senior-data-scientist-at-montash-3975173166?position=38&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=7gZvz5JcuvN4dSPrizTpGg%3D%3D&trk=public_jobs_jserp-result_search-card,Freelance Senior Data Scientist,Montash,"Berlin, Germany","Role: Senior Data Scientist + +Project Length: 6 Months initially + potential extensions + +Work Location: 100% remote + +Project Languages: English and German + +Capacity: 40 hours per week + + + + +This role is suited to a Senior Data Scientist who has previous experience modelling ranking algorithms, particularly for optimisation within an e-commerce environment. + + + + +Utilising your chosen open-source LTR (learning to rank) framework, you will build a new model which can optimise search results ranking based on multiple variables. + + + + +Key Tasks + +Develop an LTR framework module to train models that can optimise custom targets depending on the context. + +Implement LTR compatibility with a selection of value added services which are offered across the marketplace. + +Optimisation of specific transaction types and marketplace features. + +Explore and develop personalisation features with the ranking system to cater to individual user preferences. + +Work towards an unbiased LTR system which ensures fairness and diversity. + +Manage complexities around compatibility and the balance between ad revenue and user experience. + + + + +Ideal Skillset: + +Previous experience working on complex ranking models – ideally within e-commerce / search results environment +Deep knowledge in LTR machine learning +Python & relevant Python libraries +NLP +AWS cloud services (desirable) +Show more ","
+ + + + + +
+
+

Role: Senior Data Scientist

Project Length: 6 Months initially + potential extensions

Work Location: 100% remote

Project Languages: English and German

Capacity: 40 hours per week


This role is suited to a Senior Data Scientist who has previous experience modelling ranking algorithms, particularly for optimisation within an e-commerce environment.


Utilising your chosen open-source LTR (learning to rank) framework, you will build a new model which can optimise search results ranking based on multiple variables.


Key Tasks

Develop an LTR framework module to train models that can optimise custom targets depending on the context.

Implement LTR compatibility with a selection of value added services which are offered across the marketplace.

Optimisation of specific transaction types and marketplace features.

Explore and develop personalisation features with the ranking system to cater to individual user preferences.

Work towards an unbiased LTR system which ensures fairness and diversity.

Manage complexities around compatibility and the balance between ad revenue and user experience.


Ideal Skillset:

  • Previous experience working on complex ranking models – ideally within e-commerce / search results environment
  • Deep knowledge in LTR machine learning
  • Python & relevant Python libraries
  • NLP
  • AWS cloud services (desirable)
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-15,[] +3987569747,https://de.linkedin.com/jobs/view/senior-data-scientist-marketing-science-at-smartly-3987569747?position=40&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=6MNoq8MXwqZFqMhrbNQp3g%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - Marketing Science,Smartly,"Berlin, Berlin, Germany","Smartly has an exciting opportunity for an experienced Marketing Science focussed Data Scientist to join our growing Performance team in EMEA. + +We are looking for a customer-facing data scientist who enjoys analyzing sophisticated systems and can communicate findings to customers and partners clearly and concisely. Your role is crucial in making sure we can systematically improve optimization across our customers! + +You will work with our distributed team of customer-facing data scientists based in our offices in Helsinki, New York, and San Francisco. In this role you will analyze, validate, and test standard methodologies in paid social advertising. You will be working closely together with both product development and commercial colleagues. + +As a Marketing Science Data Scientist you will... + + +Perform quantitative research to support sales and marketing proof points +Drive thought leadership in the areas of optimization, testing, attribution and market insights within the Smartly organization and across the customer base +Perform performance meta analyses, vertical research, and playbooks based on scientifically sound analytics +Serve as the day-to-day trusted measurement consultant for key strategic advertisers by analyzing customers’ performance marketing data and develop methods to determine what works and, more meaningfully, why it works +Lead customer communication on Smartly optimization features, and A/B and incrementality testing, and sophisticated research results to a general audience +Drive customer adoption of best standards, measurement methodologies, and products + + + +What We Are Looking For... + + +5+ years experience in marketing measurement, analytics, growth marketing, or a related field +Experience working with structured and unstructured data-sets in Python and SQL +Master's Degree in Machine Learning, Data Science, Computer Science, or a related quantitative field or similar knowledge +Strong analytical and critical thinking skills as well as familiarity with large data sets and data manipulation tools +Ability and willingness to become an expert in digital performance marketing +Ability to work in a fast paced environment, collaborating with technical and non-technical collaborators in a customer-facing role +Ability to work from our Berlin or Helsinki office at least 2 days a week (hybrid) + + + +Meet Smartly + +Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. We are the only company managing creative and media for 700+ brands worldwide and $5B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best. + +Smartly is a multinational and diverse team of 650+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. + +Visit Smartly.io to learn more. + + +Show more ","
+ + + + + +
+
+ Smartly has an exciting opportunity for an experienced Marketing Science focussed Data Scientist to join our growing Performance team in EMEA.

We are looking for a customer-facing data scientist who enjoys analyzing sophisticated systems and can communicate findings to customers and partners clearly and concisely. Your role is crucial in making sure we can systematically improve optimization across our customers!

You will work with our distributed team of customer-facing data scientists based in our offices in Helsinki, New York, and San Francisco. In this role you will analyze, validate, and test standard methodologies in paid social advertising. You will be working closely together with both product development and commercial colleagues.

As a Marketing Science Data Scientist you will...

  • Perform quantitative research to support sales and marketing proof points
  • Drive thought leadership in the areas of optimization, testing, attribution and market insights within the Smartly organization and across the customer base
  • Perform performance meta analyses, vertical research, and playbooks based on scientifically sound analytics
  • Serve as the day-to-day trusted measurement consultant for key strategic advertisers by analyzing customers’ performance marketing data and develop methods to determine what works and, more meaningfully, why it works
  • Lead customer communication on Smartly optimization features, and A/B and incrementality testing, and sophisticated research results to a general audience
  • Drive customer adoption of best standards, measurement methodologies, and products


What We Are Looking For...

  • 5+ years experience in marketing measurement, analytics, growth marketing, or a related field
  • Experience working with structured and unstructured data-sets in Python and SQL
  • Master's Degree in Machine Learning, Data Science, Computer Science, or a related quantitative field or similar knowledge
  • Strong analytical and critical thinking skills as well as familiarity with large data sets and data manipulation tools
  • Ability and willingness to become an expert in digital performance marketing
  • Ability to work in a fast paced environment, collaborating with technical and non-technical collaborators in a customer-facing role
  • Ability to work from our Berlin or Helsinki office at least 2 days a week (hybrid)


Meet Smartly

Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. We are the only company managing creative and media for 700+ brands worldwide and $5B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.

Smartly is a multinational and diverse team of 650+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it.

Visit Smartly.io to learn more.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3967152009,https://de.linkedin.com/jobs/view/senior-data-scientist-at-picsart-3967152009?position=47&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=noiOUxtFNumTaxF2HRl8Rw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Picsart,"Berlin, Germany","Picsart is looking for an experienced Senior Data Analyst. The Senior Data Analyst role will lead strategic business decisions by developing and providing data analysis and reporting of complex patterns, insights and trends to internal stakeholders. These insights will help solve highly complex business problems, implement best practices and optimise business performance. + +By joining us, you will benefit from + + +An honest, open culture that emphasises feedback and promotes professional and personal development. +Hybrid setup— our team is distributed worldwide, from Armenia to US, UK, Germany, Spain and Romania +Wellbeing benefits (including a monthly wellbeing fund) +Growing opportunities — based on your preference you can grow in the company as a people manager or as an individual contributor. +An environment that fosters innovation and creativity, a culture with the ability to pilot new trends + + +You will + + +Work with huge datasets - get, clean and analyze them, use advanced and predictive analytics to create reports and intuitive dashboards +Partner with Business and IT teams to understand data/reporting needs, offer solutions to address specific data/reporting challenges +Execute on business/technical requirements and build multi-purpose interactive dashboard solutions, based on gathered requirements +Visualize and make effective presentations to communicate complex findings in a structured way for non-technical audience +Design, execute, and analyze A/B tests and other experiments to optimize user conversion and retention +Dig deeper into data and find reasons for trends, and metrics changes +Integrate new tools to solve problems more effectively when needed +Define the underlying architecture of data collection and ensure data consistency and accuracy during the transformation process. + + +About You + + +BS/MA degree in Economics, Mathematics, Statistics, Computer Science or a related field +3-5 years experience in an analytics or data science position working with large data sets from enterprise database platforms, business intelligence development tools to solve complex business problems +Excellent knowledge of data manipulation languages such as SQL, Python (Pandas, visualization and statistical libraries, etc.) +Strong experience building intuitive data visualizations and dashboards that influence business decisions and explains the whys, utilizing tools like Tableau, Looker, or similar +Solid understanding of statistical concepts, hypothesis testing, and regression analysis. +Strong analytical skills with the ability to manage data collection process, organize, analyze and disseminate significant amounts of information with attention to detail +Strong synthesis skills with the ability to analyze huge amount of data and extract insights that will drive the product +Excellent communication and knowledge sharing skills to convey technical findings to non-technical stakeholders. +Self-motivated, quick learner and innovative person +Strong problem-solving skills and ability to work independently. +Detail-oriented and able to meet deadlines in a fast-paced environment. +Advanced written and verbal English communication skills. + + +What we seek and value most in our candidates + +Professionalism in both soft and hard skills; motivation to grow, learn and share, positive attitude, flexibility, transparency, ownership and the most important - passion and commitment. + +Picsart is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are committed to providing reasonable accommodation to employees who have protected disabilities consistent with local law. + +Picsart, Inc. is an E-Verify Employer in the US. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish. + +For Applicants Based in California - California Job Applicant Privacy Notice (https://rb.gy/lqu5mv) + +About Us + +Picsart is the world’s largest digital creation platform and a top 20 most downloaded app. Every month, the Picsart community creates, remixes, and shares billions of visual stories using the company’s powerful and easy-to-use editing tools. Picsart has amassed one of the largest open-source content collections in the world, including free-to-edit photos, stickers, backgrounds, templates, and more. Picsart is available in 30 languages for free and as a subscription on iOS, Android, Windows devices and on the Web. Headquartered in Miami, with offices around the world, Picsart is backed by SoftBank, Sequoia Capital, DCM Ventures, Insight Partners, and others. Download the app or visit picsart.com for more information. +Show more ","
+ + + + + +
+
+ Picsart is looking for an experienced Senior Data Analyst. The Senior Data Analyst role will lead strategic business decisions by developing and providing data analysis and reporting of complex patterns, insights and trends to internal stakeholders. These insights will help solve highly complex business problems, implement best practices and optimise business performance.

By joining us, you will benefit from

  • An honest, open culture that emphasises feedback and promotes professional and personal development.
  • Hybrid setup— our team is distributed worldwide, from Armenia to US, UK, Germany, Spain and Romania
  • Wellbeing benefits (including a monthly wellbeing fund)
  • Growing opportunities — based on your preference you can grow in the company as a people manager or as an individual contributor.
  • An environment that fosters innovation and creativity, a culture with the ability to pilot new trends

You will

  • Work with huge datasets - get, clean and analyze them, use advanced and predictive analytics to create reports and intuitive dashboards
  • Partner with Business and IT teams to understand data/reporting needs, offer solutions to address specific data/reporting challenges
  • Execute on business/technical requirements and build multi-purpose interactive dashboard solutions, based on gathered requirements
  • Visualize and make effective presentations to communicate complex findings in a structured way for non-technical audience
  • Design, execute, and analyze A/B tests and other experiments to optimize user conversion and retention
  • Dig deeper into data and find reasons for trends, and metrics changes
  • Integrate new tools to solve problems more effectively when needed
  • Define the underlying architecture of data collection and ensure data consistency and accuracy during the transformation process.

About You

  • BS/MA degree in Economics, Mathematics, Statistics, Computer Science or a related field
  • 3-5 years experience in an analytics or data science position working with large data sets from enterprise database platforms, business intelligence development tools to solve complex business problems
  • Excellent knowledge of data manipulation languages such as SQL, Python (Pandas, visualization and statistical libraries, etc.)
  • Strong experience building intuitive data visualizations and dashboards that influence business decisions and explains the whys, utilizing tools like Tableau, Looker, or similar
  • Solid understanding of statistical concepts, hypothesis testing, and regression analysis.
  • Strong analytical skills with the ability to manage data collection process, organize, analyze and disseminate significant amounts of information with attention to detail
  • Strong synthesis skills with the ability to analyze huge amount of data and extract insights that will drive the product
  • Excellent communication and knowledge sharing skills to convey technical findings to non-technical stakeholders.
  • Self-motivated, quick learner and innovative person
  • Strong problem-solving skills and ability to work independently.
  • Detail-oriented and able to meet deadlines in a fast-paced environment.
  • Advanced written and verbal English communication skills.

What we seek and value most in our candidates

Professionalism in both soft and hard skills; motivation to grow, learn and share, positive attitude, flexibility, transparency, ownership and the most important - passion and commitment.

Picsart is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are committed to providing reasonable accommodation to employees who have protected disabilities consistent with local law.

Picsart, Inc. is an E-Verify Employer in the US. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

For Applicants Based in California - California Job Applicant Privacy Notice (https://rb.gy/lqu5mv)

About Us

Picsart is the world’s largest digital creation platform and a top 20 most downloaded app. Every month, the Picsart community creates, remixes, and shares billions of visual stories using the company’s powerful and easy-to-use editing tools. Picsart has amassed one of the largest open-source content collections in the world, including free-to-edit photos, stickers, backgrounds, templates, and more. Picsart is available in 30 languages for free and as a subscription on iOS, Android, Windows devices and on the Web. Headquartered in Miami, with offices around the world, Picsart is backed by SoftBank, Sequoia Capital, DCM Ventures, Insight Partners, and others. Download the app or visit picsart.com for more information. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3986421308,https://de.linkedin.com/jobs/view/senior-iot-data-scientist-at-stax-deeptech-greentech-talent-3986421308?position=48&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=rcW%2FnB7ee%2FSGY97F2r1j%2FA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior IoT Data Scientist,Stax - Deeptech & Greentech Talent,"Berlin, Germany","Our client is a dynamic Green Tech IoT company based in the heart of Berlin, seeking a talented and passionate Senior/Lead Data Scientist to join their team. They are developing innovative solutions to address pressing environmental challenges through the power of Wildfire Detection. + + + + +As a Senior Data Scientist, you will play a pivotal role in unlocking the potential of our data, driving product innovation, and shaping our company's growth. + + + + +Responsibilities: + +Develop and implement robust data pipelines to efficiently process and transform large volumes of sensor data. +Conduct in-depth data analysis to identify patterns, trends, and insights that inform product development and business strategy. +Build predictive models to optimise system performance, enhance user experience, and drive operational efficiency. +Collaborate closely with cross-functional teams, including engineers, product managers, and domain experts, to translate data insights into actionable recommendations. +Stay up-to-date with the latest advancements in data science and machine learning to drive innovation. + + + + +Qualifications: + +Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. +5+ years of experience in data science or a related field. +Proficient in Python. +Strong experience with machine learning frameworks: TensorFlow, PyTorch, scikit-learn. +Strong experience with modelling tabular data: Time Series Forecasting, Decision Trees, XGBoost, Ensemble techniques. +Strong experience with advanced data analysis techniques: PCA, T-SNE, k-means clustering. +Experience with end-to-end ML pipeline tooling: ETL pipelines, MLflow. +Excellent communication and presentation skills. +Ability to work independently and as part of a team. + + + + +What they offer: + +Competitive salary and benefits package plus stock +Opportunity to work on cutting-edge projects with a high impact +Collaborative and inspiring work environment +Flexible work arrangements +Continuous learning and development opportunities + + + + +If you are a data scientist with a passion for sustainability and a proven track record of success, we encourage you to apply! Join us in building a greener future. + +Show more ","
+ + + + + +
+
+

Our client is a dynamic Green Tech IoT company based in the heart of Berlin, seeking a talented and passionate Senior/Lead Data Scientist to join their team. They are developing innovative solutions to address pressing environmental challenges through the power of Wildfire Detection.


As a Senior Data Scientist, you will play a pivotal role in unlocking the potential of our data, driving product innovation, and shaping our company's growth.


Responsibilities:

  • Develop and implement robust data pipelines to efficiently process and transform large volumes of sensor data.
  • Conduct in-depth data analysis to identify patterns, trends, and insights that inform product development and business strategy.
  • Build predictive models to optimise system performance, enhance user experience, and drive operational efficiency.
  • Collaborate closely with cross-functional teams, including engineers, product managers, and domain experts, to translate data insights into actionable recommendations.
  • Stay up-to-date with the latest advancements in data science and machine learning to drive innovation.


Qualifications:

  • Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • 5+ years of experience in data science or a related field.
  • Proficient in Python.
  • Strong experience with machine learning frameworks: TensorFlow, PyTorch, scikit-learn.
  • Strong experience with modelling tabular data: Time Series Forecasting, Decision Trees, XGBoost, Ensemble techniques.
  • Strong experience with advanced data analysis techniques: PCA, T-SNE, k-means clustering.
  • Experience with end-to-end ML pipeline tooling: ETL pipelines, MLflow.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.


What they offer:

  • Competitive salary and benefits package plus stock
  • Opportunity to work on cutting-edge projects with a high impact
  • Collaborative and inspiring work environment
  • Flexible work arrangements
  • Continuous learning and development opportunities


If you are a data scientist with a passion for sustainability and a proven track record of success, we encourage you to apply! Join us in building a greener future.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3991380782,https://de.linkedin.com/jobs/view/data-scientist-mwd-at-hms-analytical-software-consulting-end-to-end-solutions-for-data-science-analytics-3991380782?position=49&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=Sqd3SvvB1cg00xZrKo3Bhw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (mwd),HMS Analytical Software | Consulting & End-to-End Solutions for Data Science & Analytics,"Berlin, Berlin, Germany","Berlin + +deutschlandweit/remote + +Heidelberg + +Ulm + +Berufserfahrung (Junior Level) + +Berufserfahrung + +Voll/Teilzeit + +Unsere über 30-jährige Erfolgsgeschichte im Software Analytics-Bereich zeigt: wir sind hochspezialisierte Experten, wenn es darum geht, datengetriebene Geschäftsmodelle zu schaffen. Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren. Unsere über 160 Mitarbeiter treiben digitale Modernisierungen in den Branchen Manufacturing, Finance und Life Science voran und bereiten den Weg für eine Wirtschaft, die sich auf Wissen, Technik und Verantwortung stützt. + +Das sind Ihre Aufgaben + + +Als Data Scientist (mwd) erarbeiten Sie im Dialog mit unseren Kunden innovative Lösungen zur anspruchsvollen Datenanalyse. +Sie entwickeln explorative Analysen und Modelle zur Optimierung von Geschäftsprozessen und integrieren diese in die Systemlandschaft unserer Kunden. +Sie führen anspruchsvolle Beratungs- und Entwicklungsprojekte durch, bei denen Analytik und Informatik gewinnbringend kombiniert werden. +Bei der Digitalisierung von Geschäftsprozessen und Produktionsanlagen durch künstliche Intelligenz bei führenden Unternehmen wirken Sie aktiv mit. + + +Das bringen Sie mit + + +Mindestens guter Abschluss in Informatik, Wirtschaftsinformatik, Mathematik, Physik oder in vergleichbaren naturwissenschaftlichen Studiengängen +Erste Praxiserfahrung in der Anwendung von Prinzipien des Software-Engineerings und in den DevOps- / MLOps-Prinzipien und -Tools +Kenntnisse in mindestens einer analytischen Programmiersprache (z.B. Python, R) oder einer universellen Programmiersprache (z.B. C#, Java, C++, Rust) +Kenntnisse in der Nutzung relationaler und nicht-relationaler Datenbanken +Ausgeprägte Kommunikationsstärke in Deutsch und Englisch - im Team und Kunden gegenüber +Neugierde und Bereitschaft zu gelegentlichen Reisen + + +Von Vorteil: + + +Berufserfahrung im Bereich Software Engineering, Data Science oder Business Intelligence oder als Berater im Digitalisierungskontext +Erfahrungen mit Cloud-Technologien (z.B. Azure, AWS), Big-Data-Technologien (z.B. Spark, Kafka) sowie Containerisierung (z.B. Docker, Kubernetes) + + +Wir bieten alle Rahmenbedingungen, um sich in diese Themen effizient einzuarbeiten, falls Sie dieses Wissen nicht mitbringen. + +Das bieten wir Ihnen + +Mensch & Kultur: Die Gemeinschaft und der Austausch im Unternehmen werden durch vielfältige Events wie Unternehmensmittagessen, Sommerfeste, Teamevents, Unternehmenskonferenzen und Weihnachtsfeiern aktiv gefördert. Ein Welcome Day sowie ein Mentoren-Programm während der Einarbeitungszeit tragen zudem dazu bei, den Zusammenhalt innerhalb der Teams zu stärken. Zusätzlich fördern wir den Teamgeist durch eine substanzielle Gewinnbeteiligung, die auf alle Mitarbeiter verteilt wird. + +Karriereentwicklung & Wissensaustausch: Die Vielfalt unserer (Kunden-)Projekte ermöglicht eine individuelle Karriereentwicklung. Verschiedenste Schulungsangebote und die Teilnahme an Fachkonferenzen fördern fachliches Wachstum. Ein jährliches Wissensbudget von 12 Tagen und Wissenszirkel unterstützen den kontinuierlichen Wissensaustausch. + +Work-Life-Balance & Flexibilität: Flexible Arbeitszeiten mit Arbeitszeitkonto, Mobile Office/hybrides Arbeiten, Workation-/Sabbatical-Optionen und die Möglichkeit Hunde mit ins Büro zu bringen, sind nur ein Teil unseres Angebots für Flexibilität und Lebensqualität. Auch in kritischen Situationen unterstützen wir mit bis zu 5 bezahlten Abwesenheitstagen, um sich um pflegebedürftige oder kranke Familienmitglieder zu kümmern. + +Finanzielle Vorteile: Mitarbeiter profitieren von unseren Zuschüssen für: Kinderbetreuung, Essen und Sport, betriebliche Altersvorsorge mit unverbindlicher Beratung, Deutschlandticket für nachhaltiges Reisen. + +Gesundheit & Wohlbefinden: Verschiedene Gesundheitsmaßnahmen wie bewegte Pausen, Ergonomieberatung, Grippeimpfung und Augenarztuntersuchung fördern das Wohlbefinden und die langfristige Gesundheit der Mitarbeiter. Gesunde Snacks und Getränke gehören selbstverständlich ebenfalls zu unserem Angebot. Und um auch die soziale Interaktion zu stärken, haben wir Hobby- und Sportgruppen etabliert, welche nicht nur den lockeren Austausch, sondern auch den Zusammenhalt im Team stärken. + +Soziale Verantwortung & Nachhaltigkeit: Durch die HuManS-Stiftung streben wir danach, einen positiven Beitrag zur Gesellschaft zu leisten. Unsere Klimainitiative und das Umweltprogramm setzen sich engagiert für nachhaltige Unternehmenspraktiken ein. + +Wir freuen uns auf Ihre Online-Bewerbung als Data Scientist (mwd) in Voll- oder Teilzeit (mind. 80%)! + +Leonie Höhl + +Senior Personalreferentin + +Kai Brodmann + +Geschäftsbereichsleiter Data Science und Business Intelligence +Show more ","
+ + + + + +
+
+ Berlin

deutschlandweit/remote

Heidelberg

Ulm

Berufserfahrung (Junior Level)

Berufserfahrung

Voll/Teilzeit

Unsere über 30-jährige Erfolgsgeschichte im Software Analytics-Bereich zeigt: wir sind hochspezialisierte Experten, wenn es darum geht, datengetriebene Geschäftsmodelle zu schaffen. Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren. Unsere über 160 Mitarbeiter treiben digitale Modernisierungen in den Branchen Manufacturing, Finance und Life Science voran und bereiten den Weg für eine Wirtschaft, die sich auf Wissen, Technik und Verantwortung stützt.

Das sind Ihre Aufgaben

  • Als Data Scientist (mwd) erarbeiten Sie im Dialog mit unseren Kunden innovative Lösungen zur anspruchsvollen Datenanalyse.
  • Sie entwickeln explorative Analysen und Modelle zur Optimierung von Geschäftsprozessen und integrieren diese in die Systemlandschaft unserer Kunden.
  • Sie führen anspruchsvolle Beratungs- und Entwicklungsprojekte durch, bei denen Analytik und Informatik gewinnbringend kombiniert werden.
  • Bei der Digitalisierung von Geschäftsprozessen und Produktionsanlagen durch künstliche Intelligenz bei führenden Unternehmen wirken Sie aktiv mit.

Das bringen Sie mit

  • Mindestens guter Abschluss in Informatik, Wirtschaftsinformatik, Mathematik, Physik oder in vergleichbaren naturwissenschaftlichen Studiengängen
  • Erste Praxiserfahrung in der Anwendung von Prinzipien des Software-Engineerings und in den DevOps- / MLOps-Prinzipien und -Tools
  • Kenntnisse in mindestens einer analytischen Programmiersprache (z.B. Python, R) oder einer universellen Programmiersprache (z.B. C#, Java, C++, Rust)
  • Kenntnisse in der Nutzung relationaler und nicht-relationaler Datenbanken
  • Ausgeprägte Kommunikationsstärke in Deutsch und Englisch - im Team und Kunden gegenüber
  • Neugierde und Bereitschaft zu gelegentlichen Reisen

Von Vorteil:

  • Berufserfahrung im Bereich Software Engineering, Data Science oder Business Intelligence oder als Berater im Digitalisierungskontext
  • Erfahrungen mit Cloud-Technologien (z.B. Azure, AWS), Big-Data-Technologien (z.B. Spark, Kafka) sowie Containerisierung (z.B. Docker, Kubernetes)

Wir bieten alle Rahmenbedingungen, um sich in diese Themen effizient einzuarbeiten, falls Sie dieses Wissen nicht mitbringen.

Das bieten wir Ihnen

Mensch & Kultur: Die Gemeinschaft und der Austausch im Unternehmen werden durch vielfältige Events wie Unternehmensmittagessen, Sommerfeste, Teamevents, Unternehmenskonferenzen und Weihnachtsfeiern aktiv gefördert. Ein Welcome Day sowie ein Mentoren-Programm während der Einarbeitungszeit tragen zudem dazu bei, den Zusammenhalt innerhalb der Teams zu stärken. Zusätzlich fördern wir den Teamgeist durch eine substanzielle Gewinnbeteiligung, die auf alle Mitarbeiter verteilt wird.

Karriereentwicklung & Wissensaustausch: Die Vielfalt unserer (Kunden-)Projekte ermöglicht eine individuelle Karriereentwicklung. Verschiedenste Schulungsangebote und die Teilnahme an Fachkonferenzen fördern fachliches Wachstum. Ein jährliches Wissensbudget von 12 Tagen und Wissenszirkel unterstützen den kontinuierlichen Wissensaustausch.

Work-Life-Balance & Flexibilität: Flexible Arbeitszeiten mit Arbeitszeitkonto, Mobile Office/hybrides Arbeiten, Workation-/Sabbatical-Optionen und die Möglichkeit Hunde mit ins Büro zu bringen, sind nur ein Teil unseres Angebots für Flexibilität und Lebensqualität. Auch in kritischen Situationen unterstützen wir mit bis zu 5 bezahlten Abwesenheitstagen, um sich um pflegebedürftige oder kranke Familienmitglieder zu kümmern.

Finanzielle Vorteile: Mitarbeiter profitieren von unseren Zuschüssen für: Kinderbetreuung, Essen und Sport, betriebliche Altersvorsorge mit unverbindlicher Beratung, Deutschlandticket für nachhaltiges Reisen.

Gesundheit & Wohlbefinden: Verschiedene Gesundheitsmaßnahmen wie bewegte Pausen, Ergonomieberatung, Grippeimpfung und Augenarztuntersuchung fördern das Wohlbefinden und die langfristige Gesundheit der Mitarbeiter. Gesunde Snacks und Getränke gehören selbstverständlich ebenfalls zu unserem Angebot. Und um auch die soziale Interaktion zu stärken, haben wir Hobby- und Sportgruppen etabliert, welche nicht nur den lockeren Austausch, sondern auch den Zusammenhalt im Team stärken.

Soziale Verantwortung & Nachhaltigkeit: Durch die HuManS-Stiftung streben wir danach, einen positiven Beitrag zur Gesellschaft zu leisten. Unsere Klimainitiative und das Umweltprogramm setzen sich engagiert für nachhaltige Unternehmenspraktiken ein.

Wir freuen uns auf Ihre Online-Bewerbung als Data Scientist (mwd) in Voll- oder Teilzeit (mind. 80%)!

Leonie Höhl

Senior Personalreferentin

Kai Brodmann

Geschäftsbereichsleiter Data Science und Business Intelligence +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3991340779,https://de.linkedin.com/jobs/view/r-d-engineer-m-f-d-deep-learning-at-valeo-3991340779?position=50&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=Bkw8WHaaTNNpQ47ylJ%2BsCw%3D%3D&trk=public_jobs_jserp-result_search-card,R&D Engineer (m/f/d) Deep Learning,Valeo,"Berlin, Berlin, Germany","Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies. + +Asaphus Vision as a part of Valeo Group and provides driver-monitoring software based on deep-learning technology to the automotive industry. + +We are looking for YOU as R&D Engineer (m/f/d) Deep Learning for our location in Berlin. + +Your responsibilities: + + + +Develop machine-learning models for use in our software library +Develop and maintain pre-processing, training, and evaluation pipelines +Analyze, validate, test, and understand the inner workings and limitations of your models +Support the release of the library to production +Develop and automate our machine learning infrastructure +Guide, support, and develop tools for the data acquisition for your models +Analyze, clean, and preprocess data for training and validation +Employ software development best practices and help to maintain them through reviews and mentoring + + + +Your profile: + + + +Master's degree in Computer Science with a strong focus on Machine Learning +Deep understanding of machine-learning methods and in particular deep learning for machine vision problems +Excellent problem-solving and analytical skills +Experience with relevant scientific software packages (for example Python, TensorFlow, Caffe +Strong software engineering skills for prototypic development and implementation of experimental setups +Experience with machine learning in production and MLOps is a plus +Programming skills in Python and basic C++ +Excellent communication skills in English + + + +Our benefits: + + + +Hybrid work +Special days off +Bonuses +Company bike +Further training opportunities +Open corporate culture and a leadership team that listens and cares about your professional growth +A competitive salary +Working in a motivated and international team +Team events +Flexible working hours +Modern office at S-Bhf. Tiergarten (Charlottenburg) + + + +Good to know: + + + +Your contact person: Blerina Krasniqi (blerina.krasniqi@valeo.com) +For data protection reasons, please submit your application documents exclusively online via the job portal on our website + + + +Job: + +R&D IS Engineer + +Organization: + +Site HR + +Schedule: + +Full time + +Employee Status: + +Regular + +Job Type: + +Permanent contract + +Job Posting Date: + +2024-07-05 + +Join Us ! + +Being part of our team, you will join: + + + +one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development +a multi-cultural environment that values diversity and international collaboration +more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth +a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development + + + +More information on Valeo: https://www.valeo.com +Show more ","
+ + + + + +
+
+ Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Asaphus Vision as a part of Valeo Group and provides driver-monitoring software based on deep-learning technology to the automotive industry.

We are looking for YOU as R&D Engineer (m/f/d) Deep Learning for our location in Berlin.

Your responsibilities:


  • Develop machine-learning models for use in our software library
  • Develop and maintain pre-processing, training, and evaluation pipelines
  • Analyze, validate, test, and understand the inner workings and limitations of your models
  • Support the release of the library to production
  • Develop and automate our machine learning infrastructure
  • Guide, support, and develop tools for the data acquisition for your models
  • Analyze, clean, and preprocess data for training and validation
  • Employ software development best practices and help to maintain them through reviews and mentoring


Your profile:


  • Master's degree in Computer Science with a strong focus on Machine Learning
  • Deep understanding of machine-learning methods and in particular deep learning for machine vision problems
  • Excellent problem-solving and analytical skills
  • Experience with relevant scientific software packages (for example Python, TensorFlow, Caffe
  • Strong software engineering skills for prototypic development and implementation of experimental setups
  • Experience with machine learning in production and MLOps is a plus
  • Programming skills in Python and basic C++
  • Excellent communication skills in English


Our benefits:


  • Hybrid work
  • Special days off
  • Bonuses
  • Company bike
  • Further training opportunities
  • Open corporate culture and a leadership team that listens and cares about your professional growth
  • A competitive salary
  • Working in a motivated and international team
  • Team events
  • Flexible working hours
  • Modern office at S-Bhf. Tiergarten (Charlottenburg)


Good to know:


  • Your contact person: Blerina Krasniqi (blerina.krasniqi@valeo.com)
  • For data protection reasons, please submit your application documents exclusively online via the job portal on our website


Job:

R&D IS Engineer

Organization:

Site HR

Schedule:

Full time

Employee Status:

Regular

Job Type:

Permanent contract

Job Posting Date:

2024-07-05

Join Us !

Being part of our team, you will join:


  • one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
  • a multi-cultural environment that values diversity and international collaboration
  • more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
  • a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development


More information on Valeo: https://www.valeo.com
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3991344438,https://de.linkedin.com/jobs/view/r-d-engineer-m-f-d-deep-learning-at-valeo-3991344438?position=51&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=b5DrPpJ2jSJ1LAP7P0CtJA%3D%3D&trk=public_jobs_jserp-result_search-card,R&D Engineer (m/f/d) Deep Learning,Valeo,"Berlin, Berlin, Germany","Valeo ist ein globales Technologieunternehmen, das innovative Lösungen entwickelt, um die Mobilität neu zu erfinden. Wir sind ein Partner von Automobilherstellern und Akteuren der neuen Mobilität weltweit. Unsere Vision? Eine grünere und sicherere Mobilität zu erfinden, dank Lösungen, die sich auf intuitives Fahren und die Reduzierung von CO2-Emissionen konzentrieren. Wir sind führend in unseren Geschäftsbereichen und werden als eines der weltweit größten innovativen Unternehmen anerkannt. + +Asaphus Vision as a part of Valeo Group and provides driver-monitoring software based on deep-learning technology to the automotive industry. + +We are looking for YOU as R&D Engineer (m/f/d) Deep Learning for our location in Berlin. + +Your responsibilities: + + + +Develop machine-learning models for use in our software library +Develop and maintain pre-processing, training, and evaluation pipelines +Analyze, validate, test, and understand the inner workings and limitations of your models +Support the release of the library to production +Develop and automate our machine learning infrastructure +Guide, support, and develop tools for the data acquisition for your models +Analyze, clean, and preprocess data for training and validation +Employ software development best practices and help to maintain them through reviews and mentoring + + + +Your profile: + + + +Master's degree in Computer Science with a strong focus on Machine Learning +Deep understanding of machine-learning methods and in particular deep learning for machine vision problems +Excellent problem-solving and analytical skills +Experience with relevant scientific software packages (for example Python, TensorFlow, Caffe +Strong software engineering skills for prototypic development and implementation of experimental setups +Experience with machine learning in production and MLOps is a plus +Programming skills in Python and basic C++ +Excellent communication skills in English + + + +Our benefits: + + + +Hybrid work +Special days off +Bonuses +Company bike +Further training opportunities +Open corporate culture and a leadership team that listens and cares about your professional growth +A competitive salary +Working in a motivated and international team +Team events +Flexible working hours +Modern office at S-Bhf. Tiergarten (Charlottenburg) + + + +Good to know: + + + +Your contact person: Blerina Krasniqi (blerina.krasniqi@valeo.com) +For data protection reasons, please submit your application documents exclusively online via the job portal on our website + + + +Job: + +R&D IS Engineer + +Organization: + +Site HR + +Schedule: + +Vollzeit + +Employee Status: + +Unbefristet + +Job Type: + +Permanent contract + +Job Posting Date: + +2024-07-05 + +Join Us ! + +Being part of our team, you will join: + + + +one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development +a multi-cultural environment that values diversity and international collaboration +more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth +a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development + + + +More information on Valeo: https://www.valeo.com +Show more ","
+ + + + + +
+
+ Valeo ist ein globales Technologieunternehmen, das innovative Lösungen entwickelt, um die Mobilität neu zu erfinden. Wir sind ein Partner von Automobilherstellern und Akteuren der neuen Mobilität weltweit. Unsere Vision? Eine grünere und sicherere Mobilität zu erfinden, dank Lösungen, die sich auf intuitives Fahren und die Reduzierung von CO2-Emissionen konzentrieren. Wir sind führend in unseren Geschäftsbereichen und werden als eines der weltweit größten innovativen Unternehmen anerkannt.

Asaphus Vision as a part of Valeo Group and provides driver-monitoring software based on deep-learning technology to the automotive industry.

We are looking for YOU as R&D Engineer (m/f/d) Deep Learning for our location in Berlin.

Your responsibilities:


  • Develop machine-learning models for use in our software library
  • Develop and maintain pre-processing, training, and evaluation pipelines
  • Analyze, validate, test, and understand the inner workings and limitations of your models
  • Support the release of the library to production
  • Develop and automate our machine learning infrastructure
  • Guide, support, and develop tools for the data acquisition for your models
  • Analyze, clean, and preprocess data for training and validation
  • Employ software development best practices and help to maintain them through reviews and mentoring


Your profile:


  • Master's degree in Computer Science with a strong focus on Machine Learning
  • Deep understanding of machine-learning methods and in particular deep learning for machine vision problems
  • Excellent problem-solving and analytical skills
  • Experience with relevant scientific software packages (for example Python, TensorFlow, Caffe
  • Strong software engineering skills for prototypic development and implementation of experimental setups
  • Experience with machine learning in production and MLOps is a plus
  • Programming skills in Python and basic C++
  • Excellent communication skills in English


Our benefits:


  • Hybrid work
  • Special days off
  • Bonuses
  • Company bike
  • Further training opportunities
  • Open corporate culture and a leadership team that listens and cares about your professional growth
  • A competitive salary
  • Working in a motivated and international team
  • Team events
  • Flexible working hours
  • Modern office at S-Bhf. Tiergarten (Charlottenburg)


Good to know:


  • Your contact person: Blerina Krasniqi (blerina.krasniqi@valeo.com)
  • For data protection reasons, please submit your application documents exclusively online via the job portal on our website


Job:

R&D IS Engineer

Organization:

Site HR

Schedule:

Vollzeit

Employee Status:

Unbefristet

Job Type:

Permanent contract

Job Posting Date:

2024-07-05

Join Us !

Being part of our team, you will join:


  • one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
  • a multi-cultural environment that values diversity and international collaboration
  • more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
  • a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development


More information on Valeo: https://www.valeo.com
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3993847198,https://de.linkedin.com/jobs/view/senior-data-scientist-at-qonto-3993847198?position=55&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=qavGzWrzb00fsxqFeILCtg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Qonto,"Berlin, Berlin, Germany","Our mission? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market. + +Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking! + +Our values: + +Customer focus | Prioritize customers in everything you do + +Ownership | Own your part, get things done + +Teamwork | Make (team)work easy + +Mastery | Continuously raise the bar + +Integrity | Always do what’s right, and respect people + +Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 50% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality. + +Discover the steps we took to create a discrimination-free hiring process . + +To achieve Qonto's ambitious goals, we created the Data team, responsible for overseeing data analysis, engineering, and science. In three years, our data department has grown from 5 to 50 people, and we continue expanding! You will work closely with Marianne, our Head of Data Science, and join a team of half a dozen Senior Data Scientists. + +👩‍💻🧑‍💻 As a Senior Data Scientist-Analytics at Qonto, you will exhibit a strong business acumen to deliver impactful recommendations: + + +Strategic Partnership: Collaborate closely with key stakeholders across various teams, becoming an indispensable ally in their quest for data-driven excellence. Your ability to challenge norms and present persuasive insights will drive our mission forward. +Communication Mastery: Articulate complex data insights into compelling narratives. Whether through engaging slide decks or detailed Notion pages, your stories will inspire action and foster a culture of informed decision-making. +Lead By Example: Spearhead data investigations with finesse. From extracting vital information using SQL to designing and monitoring experiments (A/B tests, GeoTests), your leadership will guide our approach to understanding and leveraging data. + + +Experiment Protocols & Models - The Core of Our Mission: + + +Experiment Protocols: Engage in meticulously designed experiment protocols ranging from 2-3 months, encompassing all stages from design to analysis. Your work will directly contribute to strategic decisions, such as evaluating new pricing strategies through controlled experiments or assessing marketing impacts via geo tests. +Models: Develop and refine models that predict and interpret complex data scenarios, from forecasting Qonto’s interchange revenues to estimating client churn probabilities. These models are the backbone of our strategic planning and decision-making processes. + + +Your Toolkit: + + +Leverage advanced tools and languages such as R/Python and Metabase to analyze data, apply statistical models, and extract actionable insights. +Utilize your deep understanding of Statistics, Econometrics, and Machine Learning to navigate through data with precision, from simple linear regressions to complex NLP models. + + +Consulting & Beyond: + +Beyond projects, offer your expertise in a consulting capacity to support our teams and C-levels on demand. Your quick, impactful interventions will help steer immediate decisions and strategies. + +🔥 See examples of key projects you may work on + + +Refining pricing strategies +Optimizing marketing spends +Enhancing customer retention +Identifying new growth levers +Improving the Qonto product experience +Reducing operational waste + + +🚀 What you can expect + + +Join Qonto who is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025 +Qonto is highly data-driven and our different business stakeholders are also thriving in that direction +Enjoy the synergy between data science (DS) and Business teams, fully aligned with Qonto’s vision, ensuring your work has both impact and visibility +Work within a team that not only possesses great technical knowledge but also comes from various backgrounds, bringing a rich diversity of skills to the table +Leverage our values and culture of continuous improvement to amplify your impact. We foster a strong culture of knowledge-sharing practices. +Our data teams are part of our Tech team, granting us easy access to our infrastructures while also supporting teamwork + + +🤝 Your Future Manager + +Your Future Manager will be Marianne , Head of Data Science + +Her background? + +After her experience in famous tech organizations where she managed Data Science teams in the Finance department, Marianne joined Qonto 2 years ago to build our Data Science team! + +What does she bring to the team? + +As an expert in her field, she has hands-on experience in implementing Data Science models to serve cross-functional teams and deliver actionable insights. Marianne also has a true passion for mentoring and coaching the team. + +🏅About You + +Expertise: You possess significant expertise in data science and analytics, aimed at enhancing strategic business decisions + +Mastery: You are capable of independently collecting data using SQL, proficient in exploratory analysis with R or Python, and mastering statistical and econometric tools. + +Simplicity and Customer Obsession: You are driven to solve high-impact business challenges and are committed to delivering solutions that create significant business value + +Communication: You enjoy collaborating with business teams and possess effective communication skills, enabling you to build alignment and clearly articulate purpose + +Language: You are fluent in English. + +At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along. + +🎁 Perks + +A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed. + + +Offices in Paris, Berlin, Milan, Barcelona, and Belgrade; +Tailor-made remote work policy depending on the job you apply for and where you live; +Competitive salary package; +A meal voucher; +Public transportation reimbursement (part or global); +A great health insurance (depending on the country); +Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities; +A progressive disability, and parenthood policy as part of our commitment to the Parental Act (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners; +Monthly team events. + + +💪 Our hiring process: + + +Interviews with your Talent Acquisition Manager and future managers +A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like + + +We will send you an interview guide so you can best prepare yourself. + +On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞 + +To learn more about us: + +Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres + +To know how your personal data will be processed during your application process or to request its deletion, please click here . +Show more ","
+ + + + + +
+
+ Our mission? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market.

Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!

Our values:

Customer focus | Prioritize customers in everything you do

Ownership | Own your part, get things done

Teamwork | Make (team)work easy

Mastery | Continuously raise the bar

Integrity | Always do what’s right, and respect people

Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 50% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.

Discover the steps we took to create a discrimination-free hiring process .

To achieve Qonto's ambitious goals, we created the Data team, responsible for overseeing data analysis, engineering, and science. In three years, our data department has grown from 5 to 50 people, and we continue expanding! You will work closely with Marianne, our Head of Data Science, and join a team of half a dozen Senior Data Scientists.

👩‍💻🧑‍💻 As a Senior Data Scientist-Analytics at Qonto, you will exhibit a strong business acumen to deliver impactful recommendations:

  • Strategic Partnership: Collaborate closely with key stakeholders across various teams, becoming an indispensable ally in their quest for data-driven excellence. Your ability to challenge norms and present persuasive insights will drive our mission forward.
  • Communication Mastery: Articulate complex data insights into compelling narratives. Whether through engaging slide decks or detailed Notion pages, your stories will inspire action and foster a culture of informed decision-making.
  • Lead By Example: Spearhead data investigations with finesse. From extracting vital information using SQL to designing and monitoring experiments (A/B tests, GeoTests), your leadership will guide our approach to understanding and leveraging data.

Experiment Protocols & Models - The Core of Our Mission:

  • Experiment Protocols: Engage in meticulously designed experiment protocols ranging from 2-3 months, encompassing all stages from design to analysis. Your work will directly contribute to strategic decisions, such as evaluating new pricing strategies through controlled experiments or assessing marketing impacts via geo tests.
  • Models: Develop and refine models that predict and interpret complex data scenarios, from forecasting Qonto’s interchange revenues to estimating client churn probabilities. These models are the backbone of our strategic planning and decision-making processes.

Your Toolkit:

  • Leverage advanced tools and languages such as R/Python and Metabase to analyze data, apply statistical models, and extract actionable insights.
  • Utilize your deep understanding of Statistics, Econometrics, and Machine Learning to navigate through data with precision, from simple linear regressions to complex NLP models.

Consulting & Beyond:

Beyond projects, offer your expertise in a consulting capacity to support our teams and C-levels on demand. Your quick, impactful interventions will help steer immediate decisions and strategies.

🔥 See examples of key projects you may work on

  • Refining pricing strategies
  • Optimizing marketing spends
  • Enhancing customer retention
  • Identifying new growth levers
  • Improving the Qonto product experience
  • Reducing operational waste

🚀 What you can expect

  • Join Qonto who is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025
  • Qonto is highly data-driven and our different business stakeholders are also thriving in that direction
  • Enjoy the synergy between data science (DS) and Business teams, fully aligned with Qonto’s vision, ensuring your work has both impact and visibility
  • Work within a team that not only possesses great technical knowledge but also comes from various backgrounds, bringing a rich diversity of skills to the table
  • Leverage our values and culture of continuous improvement to amplify your impact. We foster a strong culture of knowledge-sharing practices.
  • Our data teams are part of our Tech team, granting us easy access to our infrastructures while also supporting teamwork

🤝 Your Future Manager

Your Future Manager will be Marianne , Head of Data Science

Her background?

After her experience in famous tech organizations where she managed Data Science teams in the Finance department, Marianne joined Qonto 2 years ago to build our Data Science team!

What does she bring to the team?

As an expert in her field, she has hands-on experience in implementing Data Science models to serve cross-functional teams and deliver actionable insights. Marianne also has a true passion for mentoring and coaching the team.

🏅About You

Expertise: You possess significant expertise in data science and analytics, aimed at enhancing strategic business decisions

Mastery: You are capable of independently collecting data using SQL, proficient in exploratory analysis with R or Python, and mastering statistical and econometric tools.

Simplicity and Customer Obsession: You are driven to solve high-impact business challenges and are committed to delivering solutions that create significant business value

Communication: You enjoy collaborating with business teams and possess effective communication skills, enabling you to build alignment and clearly articulate purpose

Language: You are fluent in English.

At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along.

🎁 Perks

A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed.

  • Offices in Paris, Berlin, Milan, Barcelona, and Belgrade;
  • Tailor-made remote work policy depending on the job you apply for and where you live;
  • Competitive salary package;
  • A meal voucher;
  • Public transportation reimbursement (part or global);
  • A great health insurance (depending on the country);
  • Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities;
  • A progressive disability, and parenthood policy as part of our commitment to the Parental Act (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners;
  • Monthly team events.

💪 Our hiring process:

  • Interviews with your Talent Acquisition Manager and future managers
  • A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like

We will send you an interview guide so you can best prepare yourself.

On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞

To learn more about us:

Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres

To know how your personal data will be processed during your application process or to request its deletion, please click here . +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3969048385,https://de.linkedin.com/jobs/view/founding-machine-learning-engineer-at-tec-partners-technical-recruitment-specialists-3969048385?position=57&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=InoM0EXQ2gJDI%2FTGmOqoAw%3D%3D&trk=public_jobs_jserp-result_search-card,Founding Machine Learning Engineer,TEC Partners - Technical Recruitment Specialists,"Berlin, Germany","We are seeking a talented and driven Machine Learning Engineer to join an exciting AI start-up. As a Founding Machine Learning Engineer, you will play a crucial role in developing and implementing innovative AI solutions to revolutionise regulatory affairs. You will have the opportunity to work in a fast-paced environment from the early stages, contributing to the creation of groundbreaking products. + + + + +Responsibilities: + +Collaborate with cross-functional teams to develop and deploy machine learning models. +Design and implement scalable and efficient algorithms for data processing and analysis. +Utilize Python to develop and maintain machine learning pipelines. +Solve complex technical problems and make critical decisions on prioritising speed and attention to detail. +Continuously research and stay updated on the latest advancements in machine learning technologies. + + + + +Requirements: + +Proven experience as a Machine Learning Engineer with proficiency in Python. +Demonstrated ability to build innovative products in a fast-paced environment, preferably from the early stages. +Exceptional problem-solving skills with the ability to prioritize tasks effectively. +Strong belief in our mission to revolutionise the regulatory affairs industry with AI. + + + + +Why Join Us: + +Be at the forefront of transforming regulatory affairs with AI technology. +Opportunity to have a significant impact and drive meaningful change in the industry. +Work in a small and ambitious team where everyone has real ownership over the product and company. +Continuous growth and learning opportunities. +Competitive compensation package with an unusual amount of equity reserved for early, full-time employees. + +Show more ","
+ + + + + +
+
+

We are seeking a talented and driven Machine Learning Engineer to join an exciting AI start-up. As a Founding Machine Learning Engineer, you will play a crucial role in developing and implementing innovative AI solutions to revolutionise regulatory affairs. You will have the opportunity to work in a fast-paced environment from the early stages, contributing to the creation of groundbreaking products.


Responsibilities:

  • Collaborate with cross-functional teams to develop and deploy machine learning models.
  • Design and implement scalable and efficient algorithms for data processing and analysis.
  • Utilize Python to develop and maintain machine learning pipelines.
  • Solve complex technical problems and make critical decisions on prioritising speed and attention to detail.
  • Continuously research and stay updated on the latest advancements in machine learning technologies.


Requirements:

  • Proven experience as a Machine Learning Engineer with proficiency in Python.
  • Demonstrated ability to build innovative products in a fast-paced environment, preferably from the early stages.
  • Exceptional problem-solving skills with the ability to prioritize tasks effectively.
  • Strong belief in our mission to revolutionise the regulatory affairs industry with AI.


Why Join Us:

  • Be at the forefront of transforming regulatory affairs with AI technology.
  • Opportunity to have a significant impact and drive meaningful change in the industry.
  • Work in a small and ambitious team where everyone has real ownership over the product and company.
  • Continuous growth and learning opportunities.
  • Competitive compensation package with an unusual amount of equity reserved for early, full-time employees.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-08,[] +3991381690,https://de.linkedin.com/jobs/view/senior-data-scientist-mwd-at-hms-analytical-software-consulting-end-to-end-solutions-for-data-science-analytics-3991381690?position=58&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=1mmiWQmCZ%2FYWQXz9X0hulQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist (mwd),HMS Analytical Software | Consulting & End-to-End Solutions for Data Science & Analytics,"Berlin, Berlin, Germany","Berlin + +deutschlandweit/remote + +Heidelberg + +Ulm + +Berufserfahrung + +Voll/Teilzeit + +Unsere über 30-jährige Erfolgsgeschichte im Software Analytics-Bereich zeigt: wir sind hochspezialisierte Experten, wenn es darum geht, datengetriebene Geschäftsmodelle zu schaffen. Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren. Unsere über 160 Mitarbeiter treiben digitale Modernisierungen in den Branchen Manufacturing, Finance und Life Science voran und bereiten den Weg für eine Wirtschaft, die sich auf Wissen, Technik und Verantwortung stützt. + +Das sind Ihre Aufgaben + + +Als Senior Data Scientist (mwd) wirken Sie u.a. aktiv bei der Digitalisierung von Geschäftsprozessen und Produktionsanlagen durch künstliche Intelligenz bei führenden Unternehmen mit. +Sie analysieren die Herausforderungen unserer Kunden, übersetzen diese in komplexe, analytische Fragestellungen und verzahnen alles eng mit der Informatik. +Dabei bringen Sie Ihre fachlichen Kompetenzen ein, nutzen Ihr unternehmerisches Denken und entwickeln so unsere strategischen Projekte mit hoher Wirkungsmacht weiter. +Sie lassen andere an Ihrem Wissen teilhaben – als Mentor für andere Kolleginnen und Kollegen oder in unserem bewährten Kompetenzmanagement. + + +Das bringen Sie mit + + +Mindestens guter Abschluss in Informatik, Wirtschaftsinformatik bzw. artverwandten Fachrichtungen oder in Mathematik, Physik oder vergleichbaren naturwissenschaftlichen Studiengängen +Mehrjährige Praxiserfahrung in Data Science, Business Intelligence oder Software Engineering im Machine-Learning-Umfeld oder als Berater im Digitalisierungskontext +Sehr gute Kenntnisse in mindestens einer analytischen Programmiersprache (z.B. Python, R) oder einer universellen Programmiersprache (z.B. C#, Java, C++, Rust) +Gute Kenntnisse in der Nutzung relationaler Datenbanken und SQL +Erfahrungen mit Cloud-Technologien (z.B. Azure, AWS), Big-Data-Technologien (z.B. Spark, Kafka) sowie Operationalisierungswerkzeugen (z.B. Docker, Kubernetes) +Erfahrungen in DevOps/MLOps-Prinzipien und -Tools +Ausgeprägte Kommunikationsstärke in Deutsch und Englisch - im Team und Kunden gegenüber +Neugierde und Bereitschaft zu gelegentlichen Reisen + + +Das bieten wir Ihnen + +Mensch & Kultur: Die Gemeinschaft und der Austausch im Unternehmen werden durch vielfältige Events wie Unternehmensmittagessen, Sommerfeste, Teamevents, Unternehmenskonferenzen und Weihnachtsfeiern aktiv gefördert. Ein Welcome Day sowie ein Mentoren-Programm während der Einarbeitungszeit tragen zudem dazu bei, den Zusammenhalt innerhalb der Teams zu stärken. Zusätzlich fördern wir den Teamgeist durch eine substanzielle Gewinnbeteiligung, die auf alle Mitarbeiter verteilt wird. + +Karriereentwicklung & Wissensaustausch: Die Vielfalt unserer (Kunden-)Projekte ermöglicht eine individuelle Karriereentwicklung. Verschiedenste Schulungsangebote und die Teilnahme an Fachkonferenzen fördern fachliches Wachstum. Ein jährliches Wissensbudget von 12 Tagen und Wissenszirkel unterstützen den kontinuierlichen Wissensaustausch. + +Work-Life-Balance & Flexibilität: Flexible Arbeitszeiten mit Arbeitszeitkonto, Mobile Office/hybrides Arbeiten, Workation-/Sabbatical-Optionen und die Möglichkeit Hunde mit ins Büro zu bringen, sind nur ein Teil unseres Angebots für Flexibilität und Lebensqualität. Auch in kritischen Situationen unterstützen wir mit bis zu 5 bezahlten Abwesenheitstagen, um sich um pflegebedürftige oder kranke Familienmitglieder zu kümmern. + +Finanzielle Vorteile: Mitarbeiter profitieren von unseren Zuschüssen für: Kinderbetreuung, Essen und Sport, betriebliche Altersvorsorge mit unverbindlicher Beratung, Deutschlandticket für nachhaltiges Reisen. + +Gesundheit & Wohlbefinden: Verschiedene Gesundheitsmaßnahmen wie bewegte Pausen, Ergonomieberatung, Grippeimpfung und Augenarztuntersuchung fördern das Wohlbefinden und die langfristige Gesundheit der Mitarbeiter. Gesunde Snacks und Getränke gehören selbstverständlich ebenfalls zu unserem Angebot. Und um auch die soziale Interaktion zu stärken, haben wir Hobby- und Sportgruppen etabliert, welche nicht nur den lockeren Austausch, sondern auch den Zusammenhalt im Team stärken. + +Soziale Verantwortung & Nachhaltigkeit: Durch die HuManS-Stiftung streben wir danach, einen positiven Beitrag zur Gesellschaft zu leisten. Unsere Klimainitiative und das Umweltprogramm setzen sich engagiert für nachhaltige Unternehmenspraktiken ein. + +Wir freuen uns auf Ihre Online-Bewerbung als Senior Data Scientist (mwd) in Voll- oder Teilzeit (mind. 80%)! + +Leonie Höhl + +Senior Personalreferentin + +Kai Brodmann + +Geschäftsbereichsleiter Data Science und Business Intelligence +Show more ","
+ + + + + +
+
+ Berlin

deutschlandweit/remote

Heidelberg

Ulm

Berufserfahrung

Voll/Teilzeit

Unsere über 30-jährige Erfolgsgeschichte im Software Analytics-Bereich zeigt: wir sind hochspezialisierte Experten, wenn es darum geht, datengetriebene Geschäftsmodelle zu schaffen. Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren. Unsere über 160 Mitarbeiter treiben digitale Modernisierungen in den Branchen Manufacturing, Finance und Life Science voran und bereiten den Weg für eine Wirtschaft, die sich auf Wissen, Technik und Verantwortung stützt.

Das sind Ihre Aufgaben

  • Als Senior Data Scientist (mwd) wirken Sie u.a. aktiv bei der Digitalisierung von Geschäftsprozessen und Produktionsanlagen durch künstliche Intelligenz bei führenden Unternehmen mit.
  • Sie analysieren die Herausforderungen unserer Kunden, übersetzen diese in komplexe, analytische Fragestellungen und verzahnen alles eng mit der Informatik.
  • Dabei bringen Sie Ihre fachlichen Kompetenzen ein, nutzen Ihr unternehmerisches Denken und entwickeln so unsere strategischen Projekte mit hoher Wirkungsmacht weiter.
  • Sie lassen andere an Ihrem Wissen teilhaben – als Mentor für andere Kolleginnen und Kollegen oder in unserem bewährten Kompetenzmanagement.

Das bringen Sie mit

  • Mindestens guter Abschluss in Informatik, Wirtschaftsinformatik bzw. artverwandten Fachrichtungen oder in Mathematik, Physik oder vergleichbaren naturwissenschaftlichen Studiengängen
  • Mehrjährige Praxiserfahrung in Data Science, Business Intelligence oder Software Engineering im Machine-Learning-Umfeld oder als Berater im Digitalisierungskontext
  • Sehr gute Kenntnisse in mindestens einer analytischen Programmiersprache (z.B. Python, R) oder einer universellen Programmiersprache (z.B. C#, Java, C++, Rust)
  • Gute Kenntnisse in der Nutzung relationaler Datenbanken und SQL
  • Erfahrungen mit Cloud-Technologien (z.B. Azure, AWS), Big-Data-Technologien (z.B. Spark, Kafka) sowie Operationalisierungswerkzeugen (z.B. Docker, Kubernetes)
  • Erfahrungen in DevOps/MLOps-Prinzipien und -Tools
  • Ausgeprägte Kommunikationsstärke in Deutsch und Englisch - im Team und Kunden gegenüber
  • Neugierde und Bereitschaft zu gelegentlichen Reisen

Das bieten wir Ihnen

Mensch & Kultur: Die Gemeinschaft und der Austausch im Unternehmen werden durch vielfältige Events wie Unternehmensmittagessen, Sommerfeste, Teamevents, Unternehmenskonferenzen und Weihnachtsfeiern aktiv gefördert. Ein Welcome Day sowie ein Mentoren-Programm während der Einarbeitungszeit tragen zudem dazu bei, den Zusammenhalt innerhalb der Teams zu stärken. Zusätzlich fördern wir den Teamgeist durch eine substanzielle Gewinnbeteiligung, die auf alle Mitarbeiter verteilt wird.

Karriereentwicklung & Wissensaustausch: Die Vielfalt unserer (Kunden-)Projekte ermöglicht eine individuelle Karriereentwicklung. Verschiedenste Schulungsangebote und die Teilnahme an Fachkonferenzen fördern fachliches Wachstum. Ein jährliches Wissensbudget von 12 Tagen und Wissenszirkel unterstützen den kontinuierlichen Wissensaustausch.

Work-Life-Balance & Flexibilität: Flexible Arbeitszeiten mit Arbeitszeitkonto, Mobile Office/hybrides Arbeiten, Workation-/Sabbatical-Optionen und die Möglichkeit Hunde mit ins Büro zu bringen, sind nur ein Teil unseres Angebots für Flexibilität und Lebensqualität. Auch in kritischen Situationen unterstützen wir mit bis zu 5 bezahlten Abwesenheitstagen, um sich um pflegebedürftige oder kranke Familienmitglieder zu kümmern.

Finanzielle Vorteile: Mitarbeiter profitieren von unseren Zuschüssen für: Kinderbetreuung, Essen und Sport, betriebliche Altersvorsorge mit unverbindlicher Beratung, Deutschlandticket für nachhaltiges Reisen.

Gesundheit & Wohlbefinden: Verschiedene Gesundheitsmaßnahmen wie bewegte Pausen, Ergonomieberatung, Grippeimpfung und Augenarztuntersuchung fördern das Wohlbefinden und die langfristige Gesundheit der Mitarbeiter. Gesunde Snacks und Getränke gehören selbstverständlich ebenfalls zu unserem Angebot. Und um auch die soziale Interaktion zu stärken, haben wir Hobby- und Sportgruppen etabliert, welche nicht nur den lockeren Austausch, sondern auch den Zusammenhalt im Team stärken.

Soziale Verantwortung & Nachhaltigkeit: Durch die HuManS-Stiftung streben wir danach, einen positiven Beitrag zur Gesellschaft zu leisten. Unsere Klimainitiative und das Umweltprogramm setzen sich engagiert für nachhaltige Unternehmenspraktiken ein.

Wir freuen uns auf Ihre Online-Bewerbung als Senior Data Scientist (mwd) in Voll- oder Teilzeit (mind. 80%)!

Leonie Höhl

Senior Personalreferentin

Kai Brodmann

Geschäftsbereichsleiter Data Science und Business Intelligence +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3988111583,https://de.linkedin.com/jobs/view/senior-data-scientist-at-flatiron-health-3988111583?position=60&pageNum=0&refId=wM2V%2F%2BqhmT%2B56pSgZzYbCw%3D%3D&trackingId=uFYsG%2BLuO96U%2F97Htpe5pQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Flatiron Health,"Berlin, Berlin, Germany","We’re looking for a Senior Data Scientist to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care? + +Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group. + +What You'll Do + +Our Data Science team is a diverse and talented group of individuals with strong expertise in discovering and understanding customer needs, making data-driven decisions within an ambiguous problem space, and rapidly prototyping and iterating on data products. + +Building on 10 years of experience in the US, Flatiron’s international team is scaling Flatiron’s approach in new countries. Streamlined teams in each market are establishing partnerships with local cancer providers, and developing high-quality real-world data for researchers around the world. Data Scientists are embedded on those teams and their work touches every aspect of Flatiron’s international product and strategy. + +Specifically, you’ll: + + + +Rapidly iterate on early stage products where a hybrid skill set of product intuition, customer empathy, and data expertise is essential. +Develop a deep understanding of source data and develop data processing and quality assurance approaches for both structured and unstructured data. +Help shape our approach to integrating machine learning, natural language processing and other automated technologies into Flatiron’s data processing design. +Collaborate with cross functional stakeholders to develop and implement shared data processing strategies and analytic methods to enable real-world evidence generation based on global datasets. +Devise and build data analyses and visualizations that provide value to Flatiron’s data partners and customers. +Immerse yourself in business and technical context to help your team identify opportunities for optimizing our processes and unlocking new value from our unique datasets. +Help mentor and grow other data scientists. + + + +Who You Are + +You're a kind, collaborative and analytic problem solver and value the opportunity to think beyond the way things are. In addition, + + + +You have 4+ years of industry experience in relevant roles. +You’re impact-oriented, and care deeply about creating real change for customers, users, and ultimately patients. You choose the right, rather than the flashiest, method available to reach your goals. +You have a strong background in statistics or analytics and can fit the appropriate analysis approach to complex business or research problems. +You have a track record of applying Machine Learning models to solve product problems and drive business impact. +You are a clear and confident communicator who can explain technical concepts to business and clinical partners. +You are versatile and can easily pick up new programming languages and tools, but come with strong experience in Python. +You have a record of success driving initiatives forward by generating buy-in, managing complexity, and continuously delivering business impact. +You are proficient in English. + + + +Extra credit + + + +You have experience working with healthcare-related data. +You have experience productionizing ML models and integrating them with data processing pipelines. +You have experience in Data Engineering, including ETL and data warehousing tools. + + + +Who We Are + +Our people are at the center of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity. Visit the Life at Flatiron page to learn more. +Show more ","
+ + + + + +
+
+ We’re looking for a Senior Data Scientist to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?

Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group.

What You'll Do

Our Data Science team is a diverse and talented group of individuals with strong expertise in discovering and understanding customer needs, making data-driven decisions within an ambiguous problem space, and rapidly prototyping and iterating on data products.

Building on 10 years of experience in the US, Flatiron’s international team is scaling Flatiron’s approach in new countries. Streamlined teams in each market are establishing partnerships with local cancer providers, and developing high-quality real-world data for researchers around the world. Data Scientists are embedded on those teams and their work touches every aspect of Flatiron’s international product and strategy.

Specifically, you’ll:


  • Rapidly iterate on early stage products where a hybrid skill set of product intuition, customer empathy, and data expertise is essential.
  • Develop a deep understanding of source data and develop data processing and quality assurance approaches for both structured and unstructured data.
  • Help shape our approach to integrating machine learning, natural language processing and other automated technologies into Flatiron’s data processing design.
  • Collaborate with cross functional stakeholders to develop and implement shared data processing strategies and analytic methods to enable real-world evidence generation based on global datasets.
  • Devise and build data analyses and visualizations that provide value to Flatiron’s data partners and customers.
  • Immerse yourself in business and technical context to help your team identify opportunities for optimizing our processes and unlocking new value from our unique datasets.
  • Help mentor and grow other data scientists.


Who You Are

You're a kind, collaborative and analytic problem solver and value the opportunity to think beyond the way things are. In addition,


  • You have 4+ years of industry experience in relevant roles.
  • You’re impact-oriented, and care deeply about creating real change for customers, users, and ultimately patients. You choose the right, rather than the flashiest, method available to reach your goals.
  • You have a strong background in statistics or analytics and can fit the appropriate analysis approach to complex business or research problems.
  • You have a track record of applying Machine Learning models to solve product problems and drive business impact.
  • You are a clear and confident communicator who can explain technical concepts to business and clinical partners.
  • You are versatile and can easily pick up new programming languages and tools, but come with strong experience in Python.
  • You have a record of success driving initiatives forward by generating buy-in, managing complexity, and continuously delivering business impact.
  • You are proficient in English.


Extra credit


  • You have experience working with healthcare-related data.
  • You have experience productionizing ML models and integrating them with data processing pipelines.
  • You have experience in Data Engineering, including ETL and data warehousing tools.


Who We Are

Our people are at the center of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity. Visit the Life at Flatiron page to learn more. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3975194728,https://de.linkedin.com/jobs/view/senior-data-scientist-d-f-m-large-scale-machine-learning-at-aignostics-3975194728?position=1&pageNum=2&refId=orOmgOKK55lLUx95XyngNA%3D%3D&trackingId=c06UHXTSo%2BmYzGLqYjT6OQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist (d/f/m) - Large-scale Machine Learning,Aignostics,"Berlin, Berlin, Germany","Why us? + +We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in. + +Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $20M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies. + +As a Senior Data Scientist in Aignostic's foundation model team you will work on our self-supervised base models. Together with collaborators in academia and industry you will push the state of the art in large-scale machine learning for digital pathology. Within our team of experts on large-scale machine learning and data handling, you will work on improving, benchmarking and extending our family of best-in-class foundations models, bridging image, text and other pathology data modalities. Moreover, using our foundation models you will contribute to developing prototypes for new applications to assist pathologists and generate new insights for improving cancer treatment. + +At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be. + +Where your expertise is needed + + +Plan and execute interdisciplinary projects connecting machine learning, software engineering and biomedical domain knowledge +Research, pilot and evaluate novel computer vision approaches for extracting insight from high-resolution biological images +Transform proof-of-concept machine learning models into automated, tested and production-ready systems +Support and mentor junior colleagues +Clearly communicate your results in internal and external presentations + + +What we are looking for + + +Ph.D or MSc. in a relevant field, e.g. Computer Science, Machine Learning or Bioinformatics +Eagerness to lead initiatives, learn new technologies and excel in a complex space +Solid theoretical foundations and several years of experience developing novel machine learning techniques +Experience with developing large-scale self-supervised deep learning models (""Foundation Models"") for vision or language applications +Advanced skills in Python, Linux, cloud computing and machine learning software stacks +Passion for clean code and high standards for quality assurance +Ability to independently define, organize and complete research projects +Excellent communication and team working skills + + +Bonus points for + + +Exposure to biomedical data +Leadership experience in a research context +Hands-on experience with developing and integrating Vision Language Models (VLMs) +Experience in considering Information Security criteria under ISO 27001 + + +We are still keen to hear from you if you don't match all the above points! Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time. + +Our offer + + +Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference! +Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners +Work with a welcoming, diverse and highly international team of colleagues +Opportunity to take responsibility and grow your role within the startup +Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs +Mentoring program, you’ll learn from great experts +Flexible working hours and teleworking policy +Enjoy your well-deserved time off within our 28 paid vacations days per year +We are family & pet friendly and support flexible parental leave options +Pick a subsidized membership of your choice among public transport sports and well-being +Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment + + +Join us to make a difference! + +About Us + +aignostics.com +Show more ","
+ + + + + +
+
+ Why us?

We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in.

Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $20M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies.

As a Senior Data Scientist in Aignostic's foundation model team you will work on our self-supervised base models. Together with collaborators in academia and industry you will push the state of the art in large-scale machine learning for digital pathology. Within our team of experts on large-scale machine learning and data handling, you will work on improving, benchmarking and extending our family of best-in-class foundations models, bridging image, text and other pathology data modalities. Moreover, using our foundation models you will contribute to developing prototypes for new applications to assist pathologists and generate new insights for improving cancer treatment.

At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be.

Where your expertise is needed

  • Plan and execute interdisciplinary projects connecting machine learning, software engineering and biomedical domain knowledge
  • Research, pilot and evaluate novel computer vision approaches for extracting insight from high-resolution biological images
  • Transform proof-of-concept machine learning models into automated, tested and production-ready systems
  • Support and mentor junior colleagues
  • Clearly communicate your results in internal and external presentations

What we are looking for

  • Ph.D or MSc. in a relevant field, e.g. Computer Science, Machine Learning or Bioinformatics
  • Eagerness to lead initiatives, learn new technologies and excel in a complex space
  • Solid theoretical foundations and several years of experience developing novel machine learning techniques
  • Experience with developing large-scale self-supervised deep learning models (""Foundation Models"") for vision or language applications
  • Advanced skills in Python, Linux, cloud computing and machine learning software stacks
  • Passion for clean code and high standards for quality assurance
  • Ability to independently define, organize and complete research projects
  • Excellent communication and team working skills

Bonus points for

  • Exposure to biomedical data
  • Leadership experience in a research context
  • Hands-on experience with developing and integrating Vision Language Models (VLMs)
  • Experience in considering Information Security criteria under ISO 27001

We are still keen to hear from you if you don't match all the above points! Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time.

Our offer

  • Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
  • Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
  • Work with a welcoming, diverse and highly international team of colleagues
  • Opportunity to take responsibility and grow your role within the startup
  • Expand your skills by benefitting from our Learning & Development budget, language classes and internal development programs
  • Mentoring program, you’ll learn from great experts
  • Flexible working hours and teleworking policy
  • Enjoy your well-deserved time off within our 28 paid vacations days per year
  • We are family & pet friendly and support flexible parental leave options
  • Pick a subsidized membership of your choice among public transport sports and well-being
  • Enjoy our social gatherings, lunches, and off-site events for a fun and inclusive work environment

Join us to make a difference!

About Us

aignostics.com +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-15,[] +3985600586,https://de.linkedin.com/jobs/view/data-scientist-support-genai-at-wolt-3985600586?position=2&pageNum=2&refId=orOmgOKK55lLUx95XyngNA%3D%3D&trackingId=KjysIxkIL%2FGx9Gkapb5XKQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Support (GenAI)",Wolt,"Berlin, Berlin, Germany","Job Description + +We're looking for an awesome someone to join our Support Group, the development organization that builds our in-house customer service tooling. They work on topics like support chat, operational tooling for support agents, and self-service and automation. We see great opportunities for applying machine learning and AI in this domain, and are now strengthening the data science team there. + +We're looking for someone to work embedded in a cross-functional development team where the data scientists work together with engineers, designers, and product and analytics people owning that area and domain end to end. You would be contributing to projects that have visible business impact, owning the data science parts of the solution, and working through the whole lifecycle of the development process - from ideation to deployment and maintenance. + +Potential work topics can range from developing co-pilot tools for our support associates and AI assistants for our customers with the latest AI technologies, to working on more traditional machine learning and optimization problems. + +📍This role can be based in one of our tech hubs in Helsinki, Berlin or Stockholm, or you can work remotely anywhere in Finland, Sweden, or Germany. + +Our humble expectations + +What we hope from you is that you first and foremost identify yourself as a Data Science enthusiast. Solving problems and making a business impact via Data Science is what makes you jump for joy! + + +You have previous experience building Data Science, Machine Learning and AI solutions with a measurable impact. You understand how to build data products, and deeply care about the end user experience; +You also understand what it takes to build production-level ML and AI solutions. You have experience with real-time applications and large scale deployments, and can handle the entire life cycle of data science solutions from ideation to maintenance; +Deep understanding and experience with Machine Learning and AI, a solid understanding of Statistics, and experience and knowledge in NLP. Experience in working as a part of an engineering team, building solutions to complex problems with large scale and real-time requirements. +Interest towards LLMs and GenAI and their applications to solving problems in production. + + +Next Steps + +The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! + +The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie. + +For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Fernanda Prado (fernanda.prado.e.silva@wolt.com). + +About Wolt + +Wolt is a Helsinki-based technology company that provides an online platform for consumers, merchants and couriers. It connects people looking to order food and other goods with people interested in selling and delivering them. To enable this, Wolt develops a wide range of technologies from local logistics to retail software and financial solutions – as well as operating its own grocery stores under the Wolt Market brand. Wolt’s products include Wolt+ (subscription service for customers), Wolt for Work (meal benefits and office deliveries for companies), Wolt Drive (fast last-mile deliveries for merchants) and Wolt Self-Delivery (service for merchant partners with their own delivery staff). Wolt’s mission is to make cities better by empowering and growing local communities. Wolt was founded in 2014 and joined forces with DoorDash in 2022. DoorDash operates in 29 countries today, 25 of which are with the Wolt product and brand. + +Working in Product Development at Wolt + +At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people. + +The behind the scenes of Wolt is run by an awesome bunch of over 700+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 60 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way. + +Our Commitment to Diversity, Equity & Inclusion + +We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way. + +Join us today to build Wolt together. + + +Show more ","
+ + + + + +
+
+ Job Description

We're looking for an awesome someone to join our Support Group, the development organization that builds our in-house customer service tooling. They work on topics like support chat, operational tooling for support agents, and self-service and automation. We see great opportunities for applying machine learning and AI in this domain, and are now strengthening the data science team there.

We're looking for someone to work embedded in a cross-functional development team where the data scientists work together with engineers, designers, and product and analytics people owning that area and domain end to end. You would be contributing to projects that have visible business impact, owning the data science parts of the solution, and working through the whole lifecycle of the development process - from ideation to deployment and maintenance.

Potential work topics can range from developing co-pilot tools for our support associates and AI assistants for our customers with the latest AI technologies, to working on more traditional machine learning and optimization problems.

📍This role can be based in one of our tech hubs in Helsinki, Berlin or Stockholm, or you can work remotely anywhere in Finland, Sweden, or Germany.

Our humble expectations

What we hope from you is that you first and foremost identify yourself as a Data Science enthusiast. Solving problems and making a business impact via Data Science is what makes you jump for joy!

  • You have previous experience building Data Science, Machine Learning and AI solutions with a measurable impact. You understand how to build data products, and deeply care about the end user experience;
  • You also understand what it takes to build production-level ML and AI solutions. You have experience with real-time applications and large scale deployments, and can handle the entire life cycle of data science solutions from ideation to maintenance;
  • Deep understanding and experience with Machine Learning and AI, a solid understanding of Statistics, and experience and knowledge in NLP. Experience in working as a part of an engineering team, building solutions to complex problems with large scale and real-time requirements.
  • Interest towards LLMs and GenAI and their applications to solving problems in production.

Next Steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Fernanda Prado (fernanda.prado.e.silva@wolt.com).

About Wolt

Wolt is a Helsinki-based technology company that provides an online platform for consumers, merchants and couriers. It connects people looking to order food and other goods with people interested in selling and delivering them. To enable this, Wolt develops a wide range of technologies from local logistics to retail software and financial solutions – as well as operating its own grocery stores under the Wolt Market brand. Wolt’s products include Wolt+ (subscription service for customers), Wolt for Work (meal benefits and office deliveries for companies), Wolt Drive (fast last-mile deliveries for merchants) and Wolt Self-Delivery (service for merchant partners with their own delivery staff). Wolt’s mission is to make cities better by empowering and growing local communities. Wolt was founded in 2014 and joined forces with DoorDash in 2022. DoorDash operates in 29 countries today, 25 of which are with the Wolt product and brand.

Working in Product Development at Wolt

At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.

The behind the scenes of Wolt is run by an awesome bunch of over 700+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 60 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.

Our Commitment to Diversity, Equity & Inclusion

We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.

Join us today to build Wolt together.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3979177372,https://de.linkedin.com/jobs/view/artificial-intelligence-engineer-at-eurobase-people-3979177372?position=3&pageNum=2&refId=orOmgOKK55lLUx95XyngNA%3D%3D&trackingId=XdpR3xK02sr4Vvun%2B0pj1A%3D%3D&trk=public_jobs_jserp-result_search-card,Artificial Intelligence Engineer,Eurobase People,"Berlin, Germany","Founded in December 2022, our company has swiftly made its mark in the mobile world. In 2023, we developed several apps and games that reached the #1 spot in the App Store across 3 continents. Backed by some of the world's most esteemed investors, we are rapidly growing and reaching millions of users. We're looking to bring together the smartest individuals to achieve our mission to redefine the social gaming landscape. + + + + +Tasks + +Design and Implement AI Systems: Develop and implement the AI architecture from the ground up, focusing on creating a seamless and dynamic interaction between characters and the game environment. +AI Modeling and Simulation: Build models for perception, intention, and action layers using advanced machine learning techniques. +Integration of AI with Game Engine: Ensure smooth integration of AI models with the GoDot game engine, managing real-time data exchange and action execution within the game. +Continuous Learning and Optimization: Implement mechanisms for real-time learning and memory updates using feedback from game interactions, improving character behaviors and decision-making processes over time. +Collaboration and Communication: Work closely with game developers, backend developers, and project managers to ensure that AI components align with overall game design and project goals. +Performance Monitoring: Monitor and optimize the performance of AI systems, ensuring they meet the requirements for speed and efficiency in a real-time gaming context. +Documentation and Reporting: Maintain thorough documentation for all AI systems developed and provide regular updates to the development team and stakeholders. + + + + +Requirements + +Advanced Degree in Computer Science, AI, Machine Learning, or related field. +Proven experience in AI development, preferably in the gaming industry or a similar real-time interactive environment. +Strong programming skills in Python, TypeScript, or other relevant languages. +Experience with AI frameworks and tools such as TensorFlow, PyTorch, OpenAI GPT, etc. +Familiarity with vector databases like Pinecone and experience in handling large-scale data. +Strong problem-solving skills and ability to work in a fast-paced, dynamic environment. +Excellent communication and teamwork skills. + + + + +Benefits + +Salary: You'll earn more than in your previous job. +Prime Berlin Office: Our Berlin Mitte office boasts state-of-the-art amenities, including Apple Studio Displays and Herman Miller chairs. +Full Commute Reimbursement: We cover 100% of your commuting costs. +Gym Membership: Stay fit and healthy on us. +Visa Sponsorship & Assistance: We support your visa process and guide you through all the paperwork. +Stock Options: Benefit from our competitive stock option program. +Bureaucratic Support: Assistance with German social security, tax forms, and other necessary paperwork. + + + + +If this sounds like it could be an interesting fit, send your email to harry.cook@eurobase.com - Looking forward to receiving your application! :) + +Show more ","
+ + + + + +
+
+

Founded in December 2022, our company has swiftly made its mark in the mobile world. In 2023, we developed several apps and games that reached the #1 spot in the App Store across 3 continents. Backed by some of the world's most esteemed investors, we are rapidly growing and reaching millions of users. We're looking to bring together the smartest individuals to achieve our mission to redefine the social gaming landscape.


Tasks

  1. Design and Implement AI Systems: Develop and implement the AI architecture from the ground up, focusing on creating a seamless and dynamic interaction between characters and the game environment.
  2. AI Modeling and Simulation: Build models for perception, intention, and action layers using advanced machine learning techniques.
  3. Integration of AI with Game Engine: Ensure smooth integration of AI models with the GoDot game engine, managing real-time data exchange and action execution within the game.
  4. Continuous Learning and Optimization: Implement mechanisms for real-time learning and memory updates using feedback from game interactions, improving character behaviors and decision-making processes over time.
  5. Collaboration and Communication: Work closely with game developers, backend developers, and project managers to ensure that AI components align with overall game design and project goals.
  6. Performance Monitoring: Monitor and optimize the performance of AI systems, ensuring they meet the requirements for speed and efficiency in a real-time gaming context.
  7. Documentation and Reporting: Maintain thorough documentation for all AI systems developed and provide regular updates to the development team and stakeholders.


Requirements

  • Advanced Degree in Computer Science, AI, Machine Learning, or related field.
  • Proven experience in AI development, preferably in the gaming industry or a similar real-time interactive environment.
  • Strong programming skills in Python, TypeScript, or other relevant languages.
  • Experience with AI frameworks and tools such as TensorFlow, PyTorch, OpenAI GPT, etc.
  • Familiarity with vector databases like Pinecone and experience in handling large-scale data.
  • Strong problem-solving skills and ability to work in a fast-paced, dynamic environment.
  • Excellent communication and teamwork skills.


Benefits

  • Salary: You'll earn more than in your previous job.
  • Prime Berlin Office: Our Berlin Mitte office boasts state-of-the-art amenities, including Apple Studio Displays and Herman Miller chairs.
  • Full Commute Reimbursement: We cover 100% of your commuting costs.
  • Gym Membership: Stay fit and healthy on us.
  • Visa Sponsorship & Assistance: We support your visa process and guide you through all the paperwork.
  • Stock Options: Benefit from our competitive stock option program.
  • Bureaucratic Support: Assistance with German social security, tax forms, and other necessary paperwork.


If this sounds like it could be an interesting fit, send your email to harry.cook@eurobase.com - Looking forward to receiving your application! :)

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-18,[] +3957890696,https://de.linkedin.com/jobs/view/software-engineer-at-opus-recruitment-solutions-3957890696?position=5&pageNum=2&refId=orOmgOKK55lLUx95XyngNA%3D%3D&trackingId=cX3482buHkRBeqQN2rT7dQ%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,Opus Recruitment Solutions,"Berlin, Germany","Software Engineer || Python | TypeScript || Berlin || Green FinTech + + + + +Are you keen to put your stamp on the climate revolution and be a part of accelerating sustainable energy transition on a global scale? This well-funded start up is on a mission to provide digital financing solutions for green infrastructure and hardware! Join now to be a part of an ambitious and driven team, working with the latest tech to create a more sustainable ecosystem! + + + + +Who you are: + +Software Engineer with a strong background in Python and TypeScript +Experienced in developing technical solutions for financial services +Prior experience in a startup environment would be a plus! +Innovative thinker and creative problem-solver +Excellent communication skills - English is a must, German would be a bonus! +Tech stack includes: Python, TypeScript, AWS, CI/CD, DevOps + + + + +What you will do: + +Work on the architecture and development of their platform +Keep on top of market trends and utilise latest technology to improve efficiency of the platform +Work cross-collaboratively to produce high-quality technical solutions +Ensure best practices and produce scalable and maintainable code +Communicate with customers and clients and translate business requirements into efficient code + + + + +What you can expect: + +Competitive salary based on experience +Unique vacation packages +Working with the latest tech and learning about climate technologies +A fun and passionate team with social outings and activities + + + + +APPLY NOW!! Contact shana.yogarajah@opusrs.com for further information + +Show more ","
+ + + + + +
+
+

Software Engineer || Python | TypeScript || Berlin || Green FinTech


Are you keen to put your stamp on the climate revolution and be a part of accelerating sustainable energy transition on a global scale? This well-funded start up is on a mission to provide digital financing solutions for green infrastructure and hardware! Join now to be a part of an ambitious and driven team, working with the latest tech to create a more sustainable ecosystem!


Who you are:

  • Software Engineer with a strong background in Python and TypeScript
  • Experienced in developing technical solutions for financial services
  • Prior experience in a startup environment would be a plus!
  • Innovative thinker and creative problem-solver
  • Excellent communication skills - English is a must, German would be a bonus!
  • Tech stack includes: Python, TypeScript, AWS, CI/CD, DevOps


What you will do:

  • Work on the architecture and development of their platform
  • Keep on top of market trends and utilise latest technology to improve efficiency of the platform
  • Work cross-collaboratively to produce high-quality technical solutions
  • Ensure best practices and produce scalable and maintainable code
  • Communicate with customers and clients and translate business requirements into efficient code


What you can expect:

  • Competitive salary based on experience
  • Unique vacation packages
  • Working with the latest tech and learning about climate technologies
  • A fun and passionate team with social outings and activities


APPLY NOW!! Contact shana.yogarajah@opusrs.com for further information

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3984390129,https://de.linkedin.com/jobs/view/data-scientist-data-analyst-all-genders-at-forvis-mazars-in-germany-3984390129?position=7&pageNum=2&refId=orOmgOKK55lLUx95XyngNA%3D%3D&trackingId=%2FASh%2Fy2qJQ%2FS8hoIEcRy9g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist / Data Analyst (all genders),Forvis Mazars in Germany,"Berlin, Berlin, Germany","Das erwartet Dich + + +Du begleitest unsere nationalen und internationalen Mandant*innen bei der Transformation der Steuerabteilung. An der Schnittstelle zwischen Steuerrecht und Technologie berätst du bei der Konzeption und Umsetzung von Datenstrategien. +Du wirkst maßgeblich beim Aufbau der datengetriebenen Produkte und Services wie z.B. Real-Time Reporting und Dataquality Dashboard von der Produktentwicklung bis hin zur Markteinführung mit. +Du übernimmst die Analyse und Visualisierung steuerrelevanter Daten. +Darüber hinaus bearbeitest du Mandantenausschreibungen und gestaltest mit deinem Know-how und deinen Ideen den Bereich Data & Analytics im Digital Tax Team aktiv mit. + + +Das bringst Du mit + + +Abgeschlossenes Studium der (Wirtschafts-)Informatik, des Wirtschaftsingenieurswesen oder eines thematisch verwandten Studiengangs +Erste praktische Erfahrung im Bereich Data & Analytics im Rahmen von Praktika oder Werkstudententätigkeiten +Grundlegende Kenntnisse in Python oder R sowie im Bereich Datenmodellierung, Datenarchitektur und/oder Datenvisualisierung +Erfahrung im Umgang mit Microsoft Azure (Azure Synapse, Stream Analytics etc.) und hast Freude an Technologien und Kreativität bei deren Anwendung im steuernahen Umfeld. +Sehr gute Kommunikationsfähigkeiten in Deutsch und gute Kenntnisse in Englisch + + +Darum Mazars + + +Lass dich fördern – Zahlreiche Entwicklungsprogramme und Trainingsangebote auf unserer globalen Lernplattform, darunter individuelle Lernpfade, Grundlagenschulungen, Offsites sowie Zugang zu LinkedIn Learning für deine persönliche und fachliche Entwicklung +Wir investieren in dich – Finanzielle Förderung von Berufsexamina sowie weiteren berufsrelevanten Qualifizierungen +Auf zu neuen Horizonten – Perspektivwechsel durch einen Auslandsaufenthalt oder Möglichkeit der Mitwirkung bei übergreifenden Projekten in Bereichen wie Innovation und Nachhaltigkeit +Wir bleiben in Bewegung – Ob mit dem BusinessBike ins Office oder beim After-Work-Fitness dank der Flatrate von Urban Sports Club +Dein Wellbeing ist uns wichtig – Individuelle Coachings, Teamworkshops sowie Zugang zu kostenlosen, anonymen Beratungsangeboten bei beruflichen oder privaten Herausforderungen für dich und deine Angehörigen +Deine Zeit zählt – Mobiles Arbeiten, 30 Tage Urlaub sowie bezuschusste Wertkonten für eine flexible Arbeitszeitgestaltung (z.B. Sabbatical) +Show more ","
+ + + + + +
+
+ Das erwartet Dich

  • Du begleitest unsere nationalen und internationalen Mandant*innen bei der Transformation der Steuerabteilung. An der Schnittstelle zwischen Steuerrecht und Technologie berätst du bei der Konzeption und Umsetzung von Datenstrategien.
  • Du wirkst maßgeblich beim Aufbau der datengetriebenen Produkte und Services wie z.B. Real-Time Reporting und Dataquality Dashboard von der Produktentwicklung bis hin zur Markteinführung mit.
  • Du übernimmst die Analyse und Visualisierung steuerrelevanter Daten.
  • Darüber hinaus bearbeitest du Mandantenausschreibungen und gestaltest mit deinem Know-how und deinen Ideen den Bereich Data & Analytics im Digital Tax Team aktiv mit.

Das bringst Du mit

  • Abgeschlossenes Studium der (Wirtschafts-)Informatik, des Wirtschaftsingenieurswesen oder eines thematisch verwandten Studiengangs
  • Erste praktische Erfahrung im Bereich Data & Analytics im Rahmen von Praktika oder Werkstudententätigkeiten
  • Grundlegende Kenntnisse in Python oder R sowie im Bereich Datenmodellierung, Datenarchitektur und/oder Datenvisualisierung
  • Erfahrung im Umgang mit Microsoft Azure (Azure Synapse, Stream Analytics etc.) und hast Freude an Technologien und Kreativität bei deren Anwendung im steuernahen Umfeld.
  • Sehr gute Kommunikationsfähigkeiten in Deutsch und gute Kenntnisse in Englisch

Darum Mazars

  • Lass dich fördern – Zahlreiche Entwicklungsprogramme und Trainingsangebote auf unserer globalen Lernplattform, darunter individuelle Lernpfade, Grundlagenschulungen, Offsites sowie Zugang zu LinkedIn Learning für deine persönliche und fachliche Entwicklung
  • Wir investieren in dich – Finanzielle Förderung von Berufsexamina sowie weiteren berufsrelevanten Qualifizierungen
  • Auf zu neuen Horizonten – Perspektivwechsel durch einen Auslandsaufenthalt oder Möglichkeit der Mitwirkung bei übergreifenden Projekten in Bereichen wie Innovation und Nachhaltigkeit
  • Wir bleiben in Bewegung – Ob mit dem BusinessBike ins Office oder beim After-Work-Fitness dank der Flatrate von Urban Sports Club
  • Dein Wellbeing ist uns wichtig – Individuelle Coachings, Teamworkshops sowie Zugang zu kostenlosen, anonymen Beratungsangeboten bei beruflichen oder privaten Herausforderungen für dich und deine Angehörigen
  • Deine Zeit zählt – Mobiles Arbeiten, 30 Tage Urlaub sowie bezuschusste Wertkonten für eine flexible Arbeitszeitgestaltung (z.B. Sabbatical)
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3989154159,https://de.linkedin.com/jobs/view/ai-platform-engineer-at-skills-alliance-3989154159?position=8&pageNum=2&refId=orOmgOKK55lLUx95XyngNA%3D%3D&trackingId=nuqsV0fpXaWQS%2BMnMf%2FIWg%3D%3D&trk=public_jobs_jserp-result_search-card,AI Platform Engineer,Skills Alliance,"Berlin, Germany","AI Platform Engineer + +An exciting biotech company dedicated to discovering and developing medicines for neurological disorders specifically within the small molecule space is looking for a new AI based Platform Engineer to join their growing team on a hybrid/remote basis. + + + + +Responsibilities: + +Collaborate with the AI team to set project goals, develop strategic plans, and create product roadmaps. +Understand platform components to guide decisions and enhance scalability and interoperability. +Apply MLOps principles to transition machine learning models to production. +Write production-quality code, maintain documentation, and report progress. + + + + +Required Skills and Experience: + +Advanced Python skills, with knowledge of Tensorflow, PyTorch, and Pandas. +Experience in ETL processes, data modeling, data architecture, and data pipeline development. +Proficiency with graph databases (e.g., RDF, Neo4j) and query languages (e.g., SPARQL, Cypher); knowledge of relational databases is a plus. +Proven experience deploying machine learning models, especially in NLP or deep learning, in production. +Ability to work independently within a cross-functional team. +2-3 years of industry experience, preferably in life sciences. +[Preferred] Experience with life science/drug discovery data and biomedical ontologies. +[Preferred] Ability to collaborate with data scientists, data architects, bioinformaticians, and cheminformaticians. + +Show more ","
+ + + + + +
+
+

AI Platform Engineer

An exciting biotech company dedicated to discovering and developing medicines for neurological disorders specifically within the small molecule space is looking for a new AI based Platform Engineer to join their growing team on a hybrid/remote basis.


Responsibilities:

  • Collaborate with the AI team to set project goals, develop strategic plans, and create product roadmaps.
  • Understand platform components to guide decisions and enhance scalability and interoperability.
  • Apply MLOps principles to transition machine learning models to production.
  • Write production-quality code, maintain documentation, and report progress.


Required Skills and Experience:

  • Advanced Python skills, with knowledge of Tensorflow, PyTorch, and Pandas.
  • Experience in ETL processes, data modeling, data architecture, and data pipeline development.
  • Proficiency with graph databases (e.g., RDF, Neo4j) and query languages (e.g., SPARQL, Cypher); knowledge of relational databases is a plus.
  • Proven experience deploying machine learning models, especially in NLP or deep learning, in production.
  • Ability to work independently within a cross-functional team.
  • 2-3 years of industry experience, preferably in life sciences.
  • [Preferred] Experience with life science/drug discovery data and biomedical ontologies.
  • [Preferred] Ability to collaborate with data scientists, data architects, bioinformaticians, and cheminformaticians.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3990663829,https://de.linkedin.com/jobs/view/freelance-data-scientist-at-intapeople-stem-recruitment-3990663829?position=9&pageNum=2&refId=orOmgOKK55lLUx95XyngNA%3D%3D&trackingId=4geMF3A0D0SlFtAO3oA3iQ%3D%3D&trk=public_jobs_jserp-result_search-card,Freelance Data Scientist,IntaPeople: STEM Recruitment,"Berlin, Berlin, Germany","Freelance Data Scientist + +IntaPeople are working with an innovative tech client based in Berlin, Germany. They have plans to add a skilled Data Scientist/Researcher role to the research team. We are searching for a machine learning specialist with a solid foundation in algorithm development and computer vision. + +You will directly influence how the stack is shaped for rail applications in this capacity. In order to produce functional prototypes, you will do research on cutting-edge deep learning and processing technologies. Additionally, you will collaborate closely with software engineers to create effective embedded versions of your concepts. + +Your role: + +Joining a dynamic group of researchers and data scientists in research and development +Building the sophisticated neuromorphic vision system pipelines +Creating filters for event-based cameras to reduce noise +Combining and adjusting data to account for vibration and self-motion effects +Creating algorithms for event-based camera processing + +Experience required: + +PhD or master's degree, ideally in a related discipline such as engineering, physics, computer science, or mathematics. +Professional background with a track record of demonstrating machine learning applications. +Python programming abilities and a firm grasp of C++. +Profound knowledge of mathematics, especially linear algebra. +Proficiency in deep learning and image processing is highly advantageous. +Having prior experience with FPGA, OpenCL, GPU-based implementation, embedded systems, and parallelisation is a plus. +It is required to speak and write English fluently. + +Apply now to be considered! + +Show more ","
+ + + + + +
+
+

Freelance Data Scientist

IntaPeople are working with an innovative tech client based in Berlin, Germany. They have plans to add a skilled Data Scientist/Researcher role to the research team. We are searching for a machine learning specialist with a solid foundation in algorithm development and computer vision.

You will directly influence how the stack is shaped for rail applications in this capacity. In order to produce functional prototypes, you will do research on cutting-edge deep learning and processing technologies. Additionally, you will collaborate closely with software engineers to create effective embedded versions of your concepts.

Your role:

  • Joining a dynamic group of researchers and data scientists in research and development
  • Building the sophisticated neuromorphic vision system pipelines
  • Creating filters for event-based cameras to reduce noise
  • Combining and adjusting data to account for vibration and self-motion effects
  • Creating algorithms for event-based camera processing

Experience required:

  • PhD or master's degree, ideally in a related discipline such as engineering, physics, computer science, or mathematics.
  • Professional background with a track record of demonstrating machine learning applications.
  • Python programming abilities and a firm grasp of C++.
  • Profound knowledge of mathematics, especially linear algebra.
  • Proficiency in deep learning and image processing is highly advantageous.
  • Having prior experience with FPGA, OpenCL, GPU-based implementation, embedded systems, and parallelisation is a plus.
  • It is required to speak and write English fluently.

Apply now to be considered!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3975173166,https://de.linkedin.com/jobs/view/freelance-senior-data-scientist-at-montash-3975173166?position=10&pageNum=2&refId=orOmgOKK55lLUx95XyngNA%3D%3D&trackingId=ec4yh5x61WL7c2UsF9IsqA%3D%3D&trk=public_jobs_jserp-result_search-card,Freelance Senior Data Scientist,Montash,"Berlin, Germany","Role: Senior Data Scientist + +Project Length: 6 Months initially + potential extensions + +Work Location: 100% remote + +Project Languages: English and German + +Capacity: 40 hours per week + + + + +This role is suited to a Senior Data Scientist who has previous experience modelling ranking algorithms, particularly for optimisation within an e-commerce environment. + + + + +Utilising your chosen open-source LTR (learning to rank) framework, you will build a new model which can optimise search results ranking based on multiple variables. + + + + +Key Tasks + +Develop an LTR framework module to train models that can optimise custom targets depending on the context. + +Implement LTR compatibility with a selection of value added services which are offered across the marketplace. + +Optimisation of specific transaction types and marketplace features. + +Explore and develop personalisation features with the ranking system to cater to individual user preferences. + +Work towards an unbiased LTR system which ensures fairness and diversity. + +Manage complexities around compatibility and the balance between ad revenue and user experience. + + + + +Ideal Skillset: + +Previous experience working on complex ranking models – ideally within e-commerce / search results environment +Deep knowledge in LTR machine learning +Python & relevant Python libraries +NLP +AWS cloud services (desirable) +Show more ","
+ + + + + +
+
+

Role: Senior Data Scientist

Project Length: 6 Months initially + potential extensions

Work Location: 100% remote

Project Languages: English and German

Capacity: 40 hours per week


This role is suited to a Senior Data Scientist who has previous experience modelling ranking algorithms, particularly for optimisation within an e-commerce environment.


Utilising your chosen open-source LTR (learning to rank) framework, you will build a new model which can optimise search results ranking based on multiple variables.


Key Tasks

Develop an LTR framework module to train models that can optimise custom targets depending on the context.

Implement LTR compatibility with a selection of value added services which are offered across the marketplace.

Optimisation of specific transaction types and marketplace features.

Explore and develop personalisation features with the ranking system to cater to individual user preferences.

Work towards an unbiased LTR system which ensures fairness and diversity.

Manage complexities around compatibility and the balance between ad revenue and user experience.


Ideal Skillset:

  • Previous experience working on complex ranking models – ideally within e-commerce / search results environment
  • Deep knowledge in LTR machine learning
  • Python & relevant Python libraries
  • NLP
  • AWS cloud services (desirable)
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-15,[] +3993847198,https://de.linkedin.com/jobs/view/senior-data-scientist-at-qonto-3993847198?position=1&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=FmKwDfKhMDcVC8XEN8vIYg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Qonto,"Berlin, Berlin, Germany","Our mission? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market. + +Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking! + +Our values: + +Customer focus | Prioritize customers in everything you do + +Ownership | Own your part, get things done + +Teamwork | Make (team)work easy + +Mastery | Continuously raise the bar + +Integrity | Always do what’s right, and respect people + +Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 50% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality. + +Discover the steps we took to create a discrimination-free hiring process . + +To achieve Qonto's ambitious goals, we created the Data team, responsible for overseeing data analysis, engineering, and science. In three years, our data department has grown from 5 to 50 people, and we continue expanding! You will work closely with Marianne, our Head of Data Science, and join a team of half a dozen Senior Data Scientists. + +👩‍💻🧑‍💻 As a Senior Data Scientist-Analytics at Qonto, you will exhibit a strong business acumen to deliver impactful recommendations: + + +Strategic Partnership: Collaborate closely with key stakeholders across various teams, becoming an indispensable ally in their quest for data-driven excellence. Your ability to challenge norms and present persuasive insights will drive our mission forward. +Communication Mastery: Articulate complex data insights into compelling narratives. Whether through engaging slide decks or detailed Notion pages, your stories will inspire action and foster a culture of informed decision-making. +Lead By Example: Spearhead data investigations with finesse. From extracting vital information using SQL to designing and monitoring experiments (A/B tests, GeoTests), your leadership will guide our approach to understanding and leveraging data. + + +Experiment Protocols & Models - The Core of Our Mission: + + +Experiment Protocols: Engage in meticulously designed experiment protocols ranging from 2-3 months, encompassing all stages from design to analysis. Your work will directly contribute to strategic decisions, such as evaluating new pricing strategies through controlled experiments or assessing marketing impacts via geo tests. +Models: Develop and refine models that predict and interpret complex data scenarios, from forecasting Qonto’s interchange revenues to estimating client churn probabilities. These models are the backbone of our strategic planning and decision-making processes. + + +Your Toolkit: + + +Leverage advanced tools and languages such as R/Python and Metabase to analyze data, apply statistical models, and extract actionable insights. +Utilize your deep understanding of Statistics, Econometrics, and Machine Learning to navigate through data with precision, from simple linear regressions to complex NLP models. + + +Consulting & Beyond: + +Beyond projects, offer your expertise in a consulting capacity to support our teams and C-levels on demand. Your quick, impactful interventions will help steer immediate decisions and strategies. + +🔥 See examples of key projects you may work on + + +Refining pricing strategies +Optimizing marketing spends +Enhancing customer retention +Identifying new growth levers +Improving the Qonto product experience +Reducing operational waste + + +🚀 What you can expect + + +Join Qonto who is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025 +Qonto is highly data-driven and our different business stakeholders are also thriving in that direction +Enjoy the synergy between data science (DS) and Business teams, fully aligned with Qonto’s vision, ensuring your work has both impact and visibility +Work within a team that not only possesses great technical knowledge but also comes from various backgrounds, bringing a rich diversity of skills to the table +Leverage our values and culture of continuous improvement to amplify your impact. We foster a strong culture of knowledge-sharing practices. +Our data teams are part of our Tech team, granting us easy access to our infrastructures while also supporting teamwork + + +🤝 Your Future Manager + +Your Future Manager will be Marianne , Head of Data Science + +Her background? + +After her experience in famous tech organizations where she managed Data Science teams in the Finance department, Marianne joined Qonto 2 years ago to build our Data Science team! + +What does she bring to the team? + +As an expert in her field, she has hands-on experience in implementing Data Science models to serve cross-functional teams and deliver actionable insights. Marianne also has a true passion for mentoring and coaching the team. + +🏅About You + +Expertise: You possess significant expertise in data science and analytics, aimed at enhancing strategic business decisions + +Mastery: You are capable of independently collecting data using SQL, proficient in exploratory analysis with R or Python, and mastering statistical and econometric tools. + +Simplicity and Customer Obsession: You are driven to solve high-impact business challenges and are committed to delivering solutions that create significant business value + +Communication: You enjoy collaborating with business teams and possess effective communication skills, enabling you to build alignment and clearly articulate purpose + +Language: You are fluent in English. + +At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along. + +🎁 Perks + +A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed. + + +Offices in Paris, Berlin, Milan, Barcelona, and Belgrade; +Tailor-made remote work policy depending on the job you apply for and where you live; +Competitive salary package; +A meal voucher; +Public transportation reimbursement (part or global); +A great health insurance (depending on the country); +Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities; +A progressive disability, and parenthood policy as part of our commitment to the Parental Act (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners; +Monthly team events. + + +💪 Our hiring process: + + +Interviews with your Talent Acquisition Manager and future managers +A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like + + +We will send you an interview guide so you can best prepare yourself. + +On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞 + +To learn more about us: + +Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres + +To know how your personal data will be processed during your application process or to request its deletion, please click here . +Show more ","
+ + + + + +
+
+ Our mission? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market.

Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!

Our values:

Customer focus | Prioritize customers in everything you do

Ownership | Own your part, get things done

Teamwork | Make (team)work easy

Mastery | Continuously raise the bar

Integrity | Always do what’s right, and respect people

Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 50% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.

Discover the steps we took to create a discrimination-free hiring process .

To achieve Qonto's ambitious goals, we created the Data team, responsible for overseeing data analysis, engineering, and science. In three years, our data department has grown from 5 to 50 people, and we continue expanding! You will work closely with Marianne, our Head of Data Science, and join a team of half a dozen Senior Data Scientists.

👩‍💻🧑‍💻 As a Senior Data Scientist-Analytics at Qonto, you will exhibit a strong business acumen to deliver impactful recommendations:

  • Strategic Partnership: Collaborate closely with key stakeholders across various teams, becoming an indispensable ally in their quest for data-driven excellence. Your ability to challenge norms and present persuasive insights will drive our mission forward.
  • Communication Mastery: Articulate complex data insights into compelling narratives. Whether through engaging slide decks or detailed Notion pages, your stories will inspire action and foster a culture of informed decision-making.
  • Lead By Example: Spearhead data investigations with finesse. From extracting vital information using SQL to designing and monitoring experiments (A/B tests, GeoTests), your leadership will guide our approach to understanding and leveraging data.

Experiment Protocols & Models - The Core of Our Mission:

  • Experiment Protocols: Engage in meticulously designed experiment protocols ranging from 2-3 months, encompassing all stages from design to analysis. Your work will directly contribute to strategic decisions, such as evaluating new pricing strategies through controlled experiments or assessing marketing impacts via geo tests.
  • Models: Develop and refine models that predict and interpret complex data scenarios, from forecasting Qonto’s interchange revenues to estimating client churn probabilities. These models are the backbone of our strategic planning and decision-making processes.

Your Toolkit:

  • Leverage advanced tools and languages such as R/Python and Metabase to analyze data, apply statistical models, and extract actionable insights.
  • Utilize your deep understanding of Statistics, Econometrics, and Machine Learning to navigate through data with precision, from simple linear regressions to complex NLP models.

Consulting & Beyond:

Beyond projects, offer your expertise in a consulting capacity to support our teams and C-levels on demand. Your quick, impactful interventions will help steer immediate decisions and strategies.

🔥 See examples of key projects you may work on

  • Refining pricing strategies
  • Optimizing marketing spends
  • Enhancing customer retention
  • Identifying new growth levers
  • Improving the Qonto product experience
  • Reducing operational waste

🚀 What you can expect

  • Join Qonto who is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025
  • Qonto is highly data-driven and our different business stakeholders are also thriving in that direction
  • Enjoy the synergy between data science (DS) and Business teams, fully aligned with Qonto’s vision, ensuring your work has both impact and visibility
  • Work within a team that not only possesses great technical knowledge but also comes from various backgrounds, bringing a rich diversity of skills to the table
  • Leverage our values and culture of continuous improvement to amplify your impact. We foster a strong culture of knowledge-sharing practices.
  • Our data teams are part of our Tech team, granting us easy access to our infrastructures while also supporting teamwork

🤝 Your Future Manager

Your Future Manager will be Marianne , Head of Data Science

Her background?

After her experience in famous tech organizations where she managed Data Science teams in the Finance department, Marianne joined Qonto 2 years ago to build our Data Science team!

What does she bring to the team?

As an expert in her field, she has hands-on experience in implementing Data Science models to serve cross-functional teams and deliver actionable insights. Marianne also has a true passion for mentoring and coaching the team.

🏅About You

Expertise: You possess significant expertise in data science and analytics, aimed at enhancing strategic business decisions

Mastery: You are capable of independently collecting data using SQL, proficient in exploratory analysis with R or Python, and mastering statistical and econometric tools.

Simplicity and Customer Obsession: You are driven to solve high-impact business challenges and are committed to delivering solutions that create significant business value

Communication: You enjoy collaborating with business teams and possess effective communication skills, enabling you to build alignment and clearly articulate purpose

Language: You are fluent in English.

At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along.

🎁 Perks

A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed.

  • Offices in Paris, Berlin, Milan, Barcelona, and Belgrade;
  • Tailor-made remote work policy depending on the job you apply for and where you live;
  • Competitive salary package;
  • A meal voucher;
  • Public transportation reimbursement (part or global);
  • A great health insurance (depending on the country);
  • Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities;
  • A progressive disability, and parenthood policy as part of our commitment to the Parental Act (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners;
  • Monthly team events.

💪 Our hiring process:

  • Interviews with your Talent Acquisition Manager and future managers
  • A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like

We will send you an interview guide so you can best prepare yourself.

On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞

To learn more about us:

Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres

To know how your personal data will be processed during your application process or to request its deletion, please click here . +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3989814759,https://de.linkedin.com/jobs/view/senior-data-scientist-enterprise-solutions-unit-at-semrush-3989814759?position=2&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=OcFJ0jEXpIoBcEuF7bxLeQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist (Enterprise Solutions Unit),Semrush,"Berlin, Berlin, Germany","Job Description + +Hi there! + +We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance. + +This is our role as a Data Scientist for those who like to design, develop, test and maintain multiple machine learning-based automated repeatable SEO analysis (‘SEO Workflows’), and perform targeted data analysis assignments for external clients along with the SEO Consulting team. + +Tasks in the role + +Designing SEO Workflow prototype + + +Collect workflow requirements from internal and external SEO experts. +Develop a simplified solution prototype. +Test the concept with SEO experts. + + + +Defining the requirements for the workflows + + +Define success criteria for workflow performance. +Define API contracts to collect the data from Semrush Data Warehouse. +Develop the workflow output. + + + +Developing the workflows + + +Develop the scripts to perform stable, repeatable, and scalable data analysis. +Develop request scripts to support and enable the main workflow script. + + + +Developing workflow tests + + +Develop various tests and perform them in testing and production environments, including integration unit, regression, performance and other types of testing. + + + +Custom analysis assignments for external clients + + +In close collaboration with the SEO Consulting team, develop custom SEO workflows for external clients to perform specific analysis to meet client needs. + + + +Requirements + +Who we are looking for + + +Bachelor's or higher degree in a relevant field such as Data Science, Computer Science, or a related discipline. +Strong fundamentals in Machine Learning and experience with bringing models into production. +Familiarity with Large Language Models (LLMs) and their applications, including an understanding of their architecture and practical use cases. +Strong programming skills, including proficiency in languages like Python and DS libraries such as pandas, numpy, scikit-learn, transformers, streamlit. +Knowledge of API integration and data collection from various sources. +Experience in conducting comprehensive testing to ensure the reliability and performance of workflows. +Strong problem-solving skills and the ability to collaborate effectively with cross-functional teams and external clients. + + + +They say there are no perfect candidates, but that might well be you, if + + +Knowledge of SEO best practices and industry trends is a plus. +You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better. + + + +A Bit About The Team + +You can get to know the team better at one of the interviews, but some brief information about future colleagues will be useful now. + +Torch team is responsible for building ML-based automated workflows within the Semrush Enterprise Platform. + +We will try to create all the right conditions for you to work and rest comfortably + + +Work format Choice: It’s up to you to decide what work format works best for you. You can #wfo, #wfh, or mix both. +Flexible working day start +Unlimited PTO +Hobby benefit +Breakfast, snacks, and coffee at the office +Corporate events +Training, courses, conferences +Gifts for employees + + + +Finally, a Little More About Our Company + +We’ve been developing our product for 15 years and have been awarded G2's Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker. + +10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,000 people around the world are working on its development. The Semrush team is constantly growing. + +Semrush is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws. All employment decisions are based on business needs, job requirements, merit, and individual qualifications. +Show more ","
+ + + + + +
+
+ Job Description

Hi there!

We are Semrush, a global IT company developing our own product – a platform for digital marketers. New stars are born here, so don’t miss your chance.

This is our role as a Data Scientist for those who like to design, develop, test and maintain multiple machine learning-based automated repeatable SEO analysis (‘SEO Workflows’), and perform targeted data analysis assignments for external clients along with the SEO Consulting team.

Tasks in the role

Designing SEO Workflow prototype

  • Collect workflow requirements from internal and external SEO experts.
  • Develop a simplified solution prototype.
  • Test the concept with SEO experts.


Defining the requirements for the workflows

  • Define success criteria for workflow performance.
  • Define API contracts to collect the data from Semrush Data Warehouse.
  • Develop the workflow output.


Developing the workflows

  • Develop the scripts to perform stable, repeatable, and scalable data analysis.
  • Develop request scripts to support and enable the main workflow script.


Developing workflow tests

  • Develop various tests and perform them in testing and production environments, including integration unit, regression, performance and other types of testing.


Custom analysis assignments for external clients

  • In close collaboration with the SEO Consulting team, develop custom SEO workflows for external clients to perform specific analysis to meet client needs.


Requirements

Who we are looking for

  • Bachelor's or higher degree in a relevant field such as Data Science, Computer Science, or a related discipline.
  • Strong fundamentals in Machine Learning and experience with bringing models into production.
  • Familiarity with Large Language Models (LLMs) and their applications, including an understanding of their architecture and practical use cases.
  • Strong programming skills, including proficiency in languages like Python and DS libraries such as pandas, numpy, scikit-learn, transformers, streamlit.
  • Knowledge of API integration and data collection from various sources.
  • Experience in conducting comprehensive testing to ensure the reliability and performance of workflows.
  • Strong problem-solving skills and the ability to collaborate effectively with cross-functional teams and external clients.


They say there are no perfect candidates, but that might well be you, if

  • Knowledge of SEO best practices and industry trends is a plus.
  • You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it’s not worth wasting time on something you don’t believe in; and enthusiasm for Constant Changes, because we are always looking to make things better.


A Bit About The Team

You can get to know the team better at one of the interviews, but some brief information about future colleagues will be useful now.

Torch team is responsible for building ML-based automated workflows within the Semrush Enterprise Platform.

We will try to create all the right conditions for you to work and rest comfortably

  • Work format Choice: It’s up to you to decide what work format works best for you. You can #wfo, #wfh, or mix both.
  • Flexible working day start
  • Unlimited PTO
  • Hobby benefit
  • Breakfast, snacks, and coffee at the office
  • Corporate events
  • Training, courses, conferences
  • Gifts for employees


Finally, a Little More About Our Company

We’ve been developing our product for 15 years and have been awarded G2's Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.

10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,000 people around the world are working on its development. The Semrush team is constantly growing.

Semrush is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws. All employment decisions are based on business needs, job requirements, merit, and individual qualifications. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3991344438,https://de.linkedin.com/jobs/view/r-d-engineer-m-f-d-deep-learning-at-valeo-3991344438?position=3&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=dyOH3c9h8fxc7tqpFHw2YQ%3D%3D&trk=public_jobs_jserp-result_search-card,R&D Engineer (m/f/d) Deep Learning,Valeo,"Berlin, Berlin, Germany","Valeo ist ein globales Technologieunternehmen, das innovative Lösungen entwickelt, um die Mobilität neu zu erfinden. Wir sind ein Partner von Automobilherstellern und Akteuren der neuen Mobilität weltweit. Unsere Vision? Eine grünere und sicherere Mobilität zu erfinden, dank Lösungen, die sich auf intuitives Fahren und die Reduzierung von CO2-Emissionen konzentrieren. Wir sind führend in unseren Geschäftsbereichen und werden als eines der weltweit größten innovativen Unternehmen anerkannt. + +Asaphus Vision as a part of Valeo Group and provides driver-monitoring software based on deep-learning technology to the automotive industry. + +We are looking for YOU as R&D Engineer (m/f/d) Deep Learning for our location in Berlin. + +Your responsibilities: + + + +Develop machine-learning models for use in our software library +Develop and maintain pre-processing, training, and evaluation pipelines +Analyze, validate, test, and understand the inner workings and limitations of your models +Support the release of the library to production +Develop and automate our machine learning infrastructure +Guide, support, and develop tools for the data acquisition for your models +Analyze, clean, and preprocess data for training and validation +Employ software development best practices and help to maintain them through reviews and mentoring + + + +Your profile: + + + +Master's degree in Computer Science with a strong focus on Machine Learning +Deep understanding of machine-learning methods and in particular deep learning for machine vision problems +Excellent problem-solving and analytical skills +Experience with relevant scientific software packages (for example Python, TensorFlow, Caffe +Strong software engineering skills for prototypic development and implementation of experimental setups +Experience with machine learning in production and MLOps is a plus +Programming skills in Python and basic C++ +Excellent communication skills in English + + + +Our benefits: + + + +Hybrid work +Special days off +Bonuses +Company bike +Further training opportunities +Open corporate culture and a leadership team that listens and cares about your professional growth +A competitive salary +Working in a motivated and international team +Team events +Flexible working hours +Modern office at S-Bhf. Tiergarten (Charlottenburg) + + + +Good to know: + + + +Your contact person: Blerina Krasniqi (blerina.krasniqi@valeo.com) +For data protection reasons, please submit your application documents exclusively online via the job portal on our website + + + +Job: + +R&D IS Engineer + +Organization: + +Site HR + +Schedule: + +Vollzeit + +Employee Status: + +Unbefristet + +Job Type: + +Permanent contract + +Job Posting Date: + +2024-07-05 + +Join Us ! + +Being part of our team, you will join: + + + +one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development +a multi-cultural environment that values diversity and international collaboration +more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth +a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development + + + +More information on Valeo: https://www.valeo.com +Show more ","
+ + + + + +
+
+ Valeo ist ein globales Technologieunternehmen, das innovative Lösungen entwickelt, um die Mobilität neu zu erfinden. Wir sind ein Partner von Automobilherstellern und Akteuren der neuen Mobilität weltweit. Unsere Vision? Eine grünere und sicherere Mobilität zu erfinden, dank Lösungen, die sich auf intuitives Fahren und die Reduzierung von CO2-Emissionen konzentrieren. Wir sind führend in unseren Geschäftsbereichen und werden als eines der weltweit größten innovativen Unternehmen anerkannt.

Asaphus Vision as a part of Valeo Group and provides driver-monitoring software based on deep-learning technology to the automotive industry.

We are looking for YOU as R&D Engineer (m/f/d) Deep Learning for our location in Berlin.

Your responsibilities:


  • Develop machine-learning models for use in our software library
  • Develop and maintain pre-processing, training, and evaluation pipelines
  • Analyze, validate, test, and understand the inner workings and limitations of your models
  • Support the release of the library to production
  • Develop and automate our machine learning infrastructure
  • Guide, support, and develop tools for the data acquisition for your models
  • Analyze, clean, and preprocess data for training and validation
  • Employ software development best practices and help to maintain them through reviews and mentoring


Your profile:


  • Master's degree in Computer Science with a strong focus on Machine Learning
  • Deep understanding of machine-learning methods and in particular deep learning for machine vision problems
  • Excellent problem-solving and analytical skills
  • Experience with relevant scientific software packages (for example Python, TensorFlow, Caffe
  • Strong software engineering skills for prototypic development and implementation of experimental setups
  • Experience with machine learning in production and MLOps is a plus
  • Programming skills in Python and basic C++
  • Excellent communication skills in English


Our benefits:


  • Hybrid work
  • Special days off
  • Bonuses
  • Company bike
  • Further training opportunities
  • Open corporate culture and a leadership team that listens and cares about your professional growth
  • A competitive salary
  • Working in a motivated and international team
  • Team events
  • Flexible working hours
  • Modern office at S-Bhf. Tiergarten (Charlottenburg)


Good to know:


  • Your contact person: Blerina Krasniqi (blerina.krasniqi@valeo.com)
  • For data protection reasons, please submit your application documents exclusively online via the job portal on our website


Job:

R&D IS Engineer

Organization:

Site HR

Schedule:

Vollzeit

Employee Status:

Unbefristet

Job Type:

Permanent contract

Job Posting Date:

2024-07-05

Join Us !

Being part of our team, you will join:


  • one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
  • a multi-cultural environment that values diversity and international collaboration
  • more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
  • a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development


More information on Valeo: https://www.valeo.com
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3971395539,https://de.linkedin.com/jobs/view/senior-data-scientist-at-almedia-3971395539?position=4&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=V7JNFmLrIufMQ2VvFfEh0Q%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Almedia,"Berlin, Germany","Almedia helps leading brands in the digital space to acquire new customers. Users can find and test the latest games, apps, and products for rewards via our platforms. + +With more than 25 million users since our launch in 2020, Almedia's Freecash.com is one of the fastest-growing providers and a leader in our industry. Our mission is to provide a win-win experience for both users and advertisers. + +We are looking for an experienced Data Scientist to join our rapidly growing team in Berlin. + +You Will: + + +Identify high-value ML business opportunities and work with both business and technical stakeholders to realise business benefit +Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results +Apply a solid statistical mindset and best practices, in the process of model development, deployment and evolution +Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them +Collaborate effectively with cross-functional teams, including product managers, engineers, business developers, and user acquisition channel managers + + +You Have: + + +5+ years of work experience, developing machine-learning models, and ideally leading projects and small teams +Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems +Strong statistical knowledge (A/B tests, probability, regression) +Combination of Python, SQL and cloud experience is essential +Excellent communication skills, with the ability to present complex findings in a clear and concise manner + + +Benefits: + + +An opportunity to work in an innovative, high-growth startup that has been profitable from day one. +A fast-paced and inclusive work environment in a team of highly motivated professionals. +Continuous learning and development opportunities. +Flexible work arrangements and a modern office space in the heart of Berlin. +Work from abroad policy + + +Almedia is an equal opportunity employer, we embrace and celebrate diversity and encourage individuals from all backgrounds to apply. +Show more ","
+ + + + + +
+
+ Almedia helps leading brands in the digital space to acquire new customers. Users can find and test the latest games, apps, and products for rewards via our platforms.

With more than 25 million users since our launch in 2020, Almedia's Freecash.com is one of the fastest-growing providers and a leader in our industry. Our mission is to provide a win-win experience for both users and advertisers.

We are looking for an experienced Data Scientist to join our rapidly growing team in Berlin.

You Will:

  • Identify high-value ML business opportunities and work with both business and technical stakeholders to realise business benefit
  • Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
  • Apply a solid statistical mindset and best practices, in the process of model development, deployment and evolution
  • Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
  • Collaborate effectively with cross-functional teams, including product managers, engineers, business developers, and user acquisition channel managers

You Have:

  • 5+ years of work experience, developing machine-learning models, and ideally leading projects and small teams
  • Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems
  • Strong statistical knowledge (A/B tests, probability, regression)
  • Combination of Python, SQL and cloud experience is essential
  • Excellent communication skills, with the ability to present complex findings in a clear and concise manner

Benefits:

  • An opportunity to work in an innovative, high-growth startup that has been profitable from day one.
  • A fast-paced and inclusive work environment in a team of highly motivated professionals.
  • Continuous learning and development opportunities.
  • Flexible work arrangements and a modern office space in the heart of Berlin.
  • Work from abroad policy

Almedia is an equal opportunity employer, we embrace and celebrate diversity and encourage individuals from all backgrounds to apply. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-09,[] +3991380782,https://de.linkedin.com/jobs/view/data-scientist-mwd-at-hms-analytical-software-consulting-end-to-end-solutions-for-data-science-analytics-3991380782?position=5&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=EBmhVOKEFvQpnbFC0gBf3Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (mwd),HMS Analytical Software | Consulting & End-to-End Solutions for Data Science & Analytics,"Berlin, Berlin, Germany","Berlin + +deutschlandweit/remote + +Heidelberg + +Ulm + +Berufserfahrung (Junior Level) + +Berufserfahrung + +Voll/Teilzeit + +Unsere über 30-jährige Erfolgsgeschichte im Software Analytics-Bereich zeigt: wir sind hochspezialisierte Experten, wenn es darum geht, datengetriebene Geschäftsmodelle zu schaffen. Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren. Unsere über 160 Mitarbeiter treiben digitale Modernisierungen in den Branchen Manufacturing, Finance und Life Science voran und bereiten den Weg für eine Wirtschaft, die sich auf Wissen, Technik und Verantwortung stützt. + +Das sind Ihre Aufgaben + + +Als Data Scientist (mwd) erarbeiten Sie im Dialog mit unseren Kunden innovative Lösungen zur anspruchsvollen Datenanalyse. +Sie entwickeln explorative Analysen und Modelle zur Optimierung von Geschäftsprozessen und integrieren diese in die Systemlandschaft unserer Kunden. +Sie führen anspruchsvolle Beratungs- und Entwicklungsprojekte durch, bei denen Analytik und Informatik gewinnbringend kombiniert werden. +Bei der Digitalisierung von Geschäftsprozessen und Produktionsanlagen durch künstliche Intelligenz bei führenden Unternehmen wirken Sie aktiv mit. + + +Das bringen Sie mit + + +Mindestens guter Abschluss in Informatik, Wirtschaftsinformatik, Mathematik, Physik oder in vergleichbaren naturwissenschaftlichen Studiengängen +Erste Praxiserfahrung in der Anwendung von Prinzipien des Software-Engineerings und in den DevOps- / MLOps-Prinzipien und -Tools +Kenntnisse in mindestens einer analytischen Programmiersprache (z.B. Python, R) oder einer universellen Programmiersprache (z.B. C#, Java, C++, Rust) +Kenntnisse in der Nutzung relationaler und nicht-relationaler Datenbanken +Ausgeprägte Kommunikationsstärke in Deutsch und Englisch - im Team und Kunden gegenüber +Neugierde und Bereitschaft zu gelegentlichen Reisen + + +Von Vorteil: + + +Berufserfahrung im Bereich Software Engineering, Data Science oder Business Intelligence oder als Berater im Digitalisierungskontext +Erfahrungen mit Cloud-Technologien (z.B. Azure, AWS), Big-Data-Technologien (z.B. Spark, Kafka) sowie Containerisierung (z.B. Docker, Kubernetes) + + +Wir bieten alle Rahmenbedingungen, um sich in diese Themen effizient einzuarbeiten, falls Sie dieses Wissen nicht mitbringen. + +Das bieten wir Ihnen + +Mensch & Kultur: Die Gemeinschaft und der Austausch im Unternehmen werden durch vielfältige Events wie Unternehmensmittagessen, Sommerfeste, Teamevents, Unternehmenskonferenzen und Weihnachtsfeiern aktiv gefördert. Ein Welcome Day sowie ein Mentoren-Programm während der Einarbeitungszeit tragen zudem dazu bei, den Zusammenhalt innerhalb der Teams zu stärken. Zusätzlich fördern wir den Teamgeist durch eine substanzielle Gewinnbeteiligung, die auf alle Mitarbeiter verteilt wird. + +Karriereentwicklung & Wissensaustausch: Die Vielfalt unserer (Kunden-)Projekte ermöglicht eine individuelle Karriereentwicklung. Verschiedenste Schulungsangebote und die Teilnahme an Fachkonferenzen fördern fachliches Wachstum. Ein jährliches Wissensbudget von 12 Tagen und Wissenszirkel unterstützen den kontinuierlichen Wissensaustausch. + +Work-Life-Balance & Flexibilität: Flexible Arbeitszeiten mit Arbeitszeitkonto, Mobile Office/hybrides Arbeiten, Workation-/Sabbatical-Optionen und die Möglichkeit Hunde mit ins Büro zu bringen, sind nur ein Teil unseres Angebots für Flexibilität und Lebensqualität. Auch in kritischen Situationen unterstützen wir mit bis zu 5 bezahlten Abwesenheitstagen, um sich um pflegebedürftige oder kranke Familienmitglieder zu kümmern. + +Finanzielle Vorteile: Mitarbeiter profitieren von unseren Zuschüssen für: Kinderbetreuung, Essen und Sport, betriebliche Altersvorsorge mit unverbindlicher Beratung, Deutschlandticket für nachhaltiges Reisen. + +Gesundheit & Wohlbefinden: Verschiedene Gesundheitsmaßnahmen wie bewegte Pausen, Ergonomieberatung, Grippeimpfung und Augenarztuntersuchung fördern das Wohlbefinden und die langfristige Gesundheit der Mitarbeiter. Gesunde Snacks und Getränke gehören selbstverständlich ebenfalls zu unserem Angebot. Und um auch die soziale Interaktion zu stärken, haben wir Hobby- und Sportgruppen etabliert, welche nicht nur den lockeren Austausch, sondern auch den Zusammenhalt im Team stärken. + +Soziale Verantwortung & Nachhaltigkeit: Durch die HuManS-Stiftung streben wir danach, einen positiven Beitrag zur Gesellschaft zu leisten. Unsere Klimainitiative und das Umweltprogramm setzen sich engagiert für nachhaltige Unternehmenspraktiken ein. + +Wir freuen uns auf Ihre Online-Bewerbung als Data Scientist (mwd) in Voll- oder Teilzeit (mind. 80%)! + +Leonie Höhl + +Senior Personalreferentin + +Kai Brodmann + +Geschäftsbereichsleiter Data Science und Business Intelligence +Show more ","
+ + + + + +
+
+ Berlin

deutschlandweit/remote

Heidelberg

Ulm

Berufserfahrung (Junior Level)

Berufserfahrung

Voll/Teilzeit

Unsere über 30-jährige Erfolgsgeschichte im Software Analytics-Bereich zeigt: wir sind hochspezialisierte Experten, wenn es darum geht, datengetriebene Geschäftsmodelle zu schaffen. Durch die Synthese von Data Engineering, Machine Learning und Software Engineering unterstützen wir Unternehmen dabei aus ihren Daten Mehrwerte zu generieren. Unsere über 160 Mitarbeiter treiben digitale Modernisierungen in den Branchen Manufacturing, Finance und Life Science voran und bereiten den Weg für eine Wirtschaft, die sich auf Wissen, Technik und Verantwortung stützt.

Das sind Ihre Aufgaben

  • Als Data Scientist (mwd) erarbeiten Sie im Dialog mit unseren Kunden innovative Lösungen zur anspruchsvollen Datenanalyse.
  • Sie entwickeln explorative Analysen und Modelle zur Optimierung von Geschäftsprozessen und integrieren diese in die Systemlandschaft unserer Kunden.
  • Sie führen anspruchsvolle Beratungs- und Entwicklungsprojekte durch, bei denen Analytik und Informatik gewinnbringend kombiniert werden.
  • Bei der Digitalisierung von Geschäftsprozessen und Produktionsanlagen durch künstliche Intelligenz bei führenden Unternehmen wirken Sie aktiv mit.

Das bringen Sie mit

  • Mindestens guter Abschluss in Informatik, Wirtschaftsinformatik, Mathematik, Physik oder in vergleichbaren naturwissenschaftlichen Studiengängen
  • Erste Praxiserfahrung in der Anwendung von Prinzipien des Software-Engineerings und in den DevOps- / MLOps-Prinzipien und -Tools
  • Kenntnisse in mindestens einer analytischen Programmiersprache (z.B. Python, R) oder einer universellen Programmiersprache (z.B. C#, Java, C++, Rust)
  • Kenntnisse in der Nutzung relationaler und nicht-relationaler Datenbanken
  • Ausgeprägte Kommunikationsstärke in Deutsch und Englisch - im Team und Kunden gegenüber
  • Neugierde und Bereitschaft zu gelegentlichen Reisen

Von Vorteil:

  • Berufserfahrung im Bereich Software Engineering, Data Science oder Business Intelligence oder als Berater im Digitalisierungskontext
  • Erfahrungen mit Cloud-Technologien (z.B. Azure, AWS), Big-Data-Technologien (z.B. Spark, Kafka) sowie Containerisierung (z.B. Docker, Kubernetes)

Wir bieten alle Rahmenbedingungen, um sich in diese Themen effizient einzuarbeiten, falls Sie dieses Wissen nicht mitbringen.

Das bieten wir Ihnen

Mensch & Kultur: Die Gemeinschaft und der Austausch im Unternehmen werden durch vielfältige Events wie Unternehmensmittagessen, Sommerfeste, Teamevents, Unternehmenskonferenzen und Weihnachtsfeiern aktiv gefördert. Ein Welcome Day sowie ein Mentoren-Programm während der Einarbeitungszeit tragen zudem dazu bei, den Zusammenhalt innerhalb der Teams zu stärken. Zusätzlich fördern wir den Teamgeist durch eine substanzielle Gewinnbeteiligung, die auf alle Mitarbeiter verteilt wird.

Karriereentwicklung & Wissensaustausch: Die Vielfalt unserer (Kunden-)Projekte ermöglicht eine individuelle Karriereentwicklung. Verschiedenste Schulungsangebote und die Teilnahme an Fachkonferenzen fördern fachliches Wachstum. Ein jährliches Wissensbudget von 12 Tagen und Wissenszirkel unterstützen den kontinuierlichen Wissensaustausch.

Work-Life-Balance & Flexibilität: Flexible Arbeitszeiten mit Arbeitszeitkonto, Mobile Office/hybrides Arbeiten, Workation-/Sabbatical-Optionen und die Möglichkeit Hunde mit ins Büro zu bringen, sind nur ein Teil unseres Angebots für Flexibilität und Lebensqualität. Auch in kritischen Situationen unterstützen wir mit bis zu 5 bezahlten Abwesenheitstagen, um sich um pflegebedürftige oder kranke Familienmitglieder zu kümmern.

Finanzielle Vorteile: Mitarbeiter profitieren von unseren Zuschüssen für: Kinderbetreuung, Essen und Sport, betriebliche Altersvorsorge mit unverbindlicher Beratung, Deutschlandticket für nachhaltiges Reisen.

Gesundheit & Wohlbefinden: Verschiedene Gesundheitsmaßnahmen wie bewegte Pausen, Ergonomieberatung, Grippeimpfung und Augenarztuntersuchung fördern das Wohlbefinden und die langfristige Gesundheit der Mitarbeiter. Gesunde Snacks und Getränke gehören selbstverständlich ebenfalls zu unserem Angebot. Und um auch die soziale Interaktion zu stärken, haben wir Hobby- und Sportgruppen etabliert, welche nicht nur den lockeren Austausch, sondern auch den Zusammenhalt im Team stärken.

Soziale Verantwortung & Nachhaltigkeit: Durch die HuManS-Stiftung streben wir danach, einen positiven Beitrag zur Gesellschaft zu leisten. Unsere Klimainitiative und das Umweltprogramm setzen sich engagiert für nachhaltige Unternehmenspraktiken ein.

Wir freuen uns auf Ihre Online-Bewerbung als Data Scientist (mwd) in Voll- oder Teilzeit (mind. 80%)!

Leonie Höhl

Senior Personalreferentin

Kai Brodmann

Geschäftsbereichsleiter Data Science und Business Intelligence +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3993526610,https://de.linkedin.com/jobs/view/genomic-data-scientist-alle-geschlechter-at-bayer-3993526610?position=6&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=ILrEL9u1P2Q7Lug58tUPFw%3D%3D&trk=public_jobs_jserp-result_search-card,Genomic Data Scientist (alle Geschlechter),Bayer,"Berlin, Berlin, Germany","Bei Bayer sind wir Visionär*innen und entschlossen, die größten Herausforderungen unseres Planeten zu überwinden und zu einer Welt beizutragen, in der genug Nahrung und ausreichende medizinische Versorgung für alle Menschen keine unerreichbaren Ziele mehr darstellen. Wir tun dies mit Energie, Neugier und purer Hingabe, lernen stets von den Menschen um uns herum, erweitern unsere Denkweise, verbessern unsere Fähigkeiten und definieren das „Unmögliche“ neu. Es gibt viele Gründe, sich uns anzuschließen: Wenn Sie nach einer abwechslungsreichen und bedeutungsvollen beruflichen Zukunft streben, in der Sie gemeinsam mit anderen brillanten Köpfen wirklich etwas bewegen können, möchten wir Sie in unserem Team haben. + +Genomic Data Scientist (alle Geschlechter) + +DEINE AUFGABEN UND VERANTWORTLICHKEITEN + +Verantwortlichkeiten für die Position + + +Du führst Qualitätskontrollen (QC) für WGS-Daten durch, einschließlich Varianten- und Proben-QC-Checks +Du entwickelst eine robuste, automatisierte und skalierbare WGS-QC-Pipeline für cloudbasierte Plattformen +Du harmonisierst und implementierst Datenanalyse-Strategien über interne Datenressourcen hinweg +Du präsentierst Ergebnisse und Literaturübersichten bei Bedarf in Gruppentreffen +Du arbeitest eng mit anderen Gruppenmitgliedern und Fachexpert*innen innerhalb und außerhalb des Unternehmens zusammen + + +Spezifische Aufgaben + + +Du annotierst genetische Varianten mit Tools wie VEP, LOFTEE und AlphaMissense +Du entwickelst eine Pipeline zur Extraktion von WES-Inhalten aus WGS-Daten +Du führst Analysen von strukturellen Varianten durch +Du baust robuste, automatisierte und skalierbare Analyse-Pipelines für Einzelvarianten- und Genbelastungsanalysen zur Unterstützung interner Projekte im Rahmen präklinischer und klinischer Programme + + +WAS DU MITBRINGST + +Wir freuen uns über Dein Talent und Deine Leidenschaft für diese Position. Die richtigen Talente gewinnen zu können, ist uns ein wichtiges Anliegen. Gerne identifizieren und gestalten wir gemeinsam mit Dir die Karriere- und Entwicklungs-möglichkeiten, die Du suchst – auch in Teilzeit. Und wenn Du nicht alle Anforderungen erfüllst, freuen wir uns trotzdem auf Deine Bewerbung. Wir alle lernen dazu! + + +Du verfügst über einen Ph.D. in Bioinformatik, Computational Biology oder einem angrenzenden Fachgebiet und verfügst über Erfahrung als PostDoc +Du bringst umfangreiche Erfahrung in der Analyse von WGS-Daten und Bioinformatik-Tools mit +Dein Verständnis für die Annotation und Interpretation genetischer Varianten ist stark ausgeprägt +Du beherrschst Programmiersprachen wie Python, R oder ähnliche +Erfahrung mit Workflow Description Languages wie WDL oder Nextflow zeichnet dich aus +Du bist vertraut mit Linux-Umgebungen, Hochleistungsrechnern und/oder Cloud-Computing-Umgebungen und hast breite Erfahrung mit Open-Source-Bioinformatik-Tools zur Generierung wissenschaftlicher Erkenntnisse +Hervorragende Kommunikations- und Dokumentationsfähigkeiten gehören zu deinen Stärken +Die besitzt die Fähigkeit, effektiv in einem multidisziplinären Team zu arbeiten +Fließende Englischkenntnisse in Wort und Schrift runden dein Profil ab + + +WAS WIR BIETEN + +Unser Leistungspaket ist flexibel, wertschätzend und auf deine Lebensweise zugeschnitten, denn: Was dir wichtig ist, ist uns wichtig! + + +Deine finanzielle Stabilität sichern wir durch ein wettbewerbsfähiges Vergütungspaket, bestehend aus einem attraktiven Funktionseinkommen, Vertriebsanreizen und einem leistungsorientierten Bonus +Ob hybride Arbeitsmodelle oder Teilzeit: Wann immer es möglich ist, geben wir dir die Flexibilität zu arbeiten wie und wann es für dich am besten ist +Deine Familie hat erste Priorität: Wir bieten liebevolle Konzernkitas an vielen Standorten, Unterstützung bei der Suche nach Kinderbetreuung, Freistellung für die Pflege von Familienmitgliedern, Ferienprogramme und vieles mehr +Deine Weiterentwicklung fördern wir durch Zugang zu Lern- und Entwicklungsmaßnahmen, Schulungen und Trainings der Bayer Learning Academy, Entwicklungsdialoge, sowie durch Coaching und Mentoringprogramme +Deine Gesundheit und einen selbstfürsorglichen Lebensstil unterstützen wir durch viele Maßnahmen, wie kostenlose HealthChecks beim Werksarzt, Gesundheitsseminare und unsere Gesundheitsplattform #machfit +Diversität feiern wir in einer inklusiven Arbeitsumgebung, in der du willkommen geheißen, unterstützt und ermutigt wirst, deine ganze Persönlichkeit einzubringen + + +Die Stelle ist auf 12 Monate befristet zu besetzen. + +Be You. Be Bayer. + +IHRE BEWERBUNG + +Dies ist Ihre Chance, sich mit uns gemeinsam den größten globalen Herausforderungen unserer Zeit zu stellen: die Gesundheit der Menschen zu erhalten, die wachsende Weltbevölkerung zu ernähren und den Klimawandel zu verlangsamen. Sie haben eine Stimme, Ideen und Perspektiven, die wir hören möchten. Denn unser Erfolg beginnt mit Ihnen. Seien Sie dabei! + +Bayer begrüßt Bewerbungen aller Menschen ungeachtet von ethnischer Herkunft, nationaler Herkunft, Geschlecht, Alter, körperlichen Merkmalen, sozialer Herkunft, Behinderung, Mitgliedschaft in einer Gewerkschaft, Religion, Familienstand, Schwangerschaft, sexueller Orientierung, Geschlechtsidentität oder einem anderen sachfremden Kriterium nach geltendem Recht. Wir bekennen uns zu dem Grundsatz, alle Bewerber*innen fair zu behandeln und Benachteiligungen zu vermeiden. + +Standort: Deutschland : Berlin : Berlin || Deutschland : Nordrhein-Westfalen : Wuppertal-Aprath + +Division: Pharmaceuticals + +Referenzcode: 823921 + + +Show more ","
+ + + + + +
+
+ Bei Bayer sind wir Visionär*innen und entschlossen, die größten Herausforderungen unseres Planeten zu überwinden und zu einer Welt beizutragen, in der genug Nahrung und ausreichende medizinische Versorgung für alle Menschen keine unerreichbaren Ziele mehr darstellen. Wir tun dies mit Energie, Neugier und purer Hingabe, lernen stets von den Menschen um uns herum, erweitern unsere Denkweise, verbessern unsere Fähigkeiten und definieren das „Unmögliche“ neu. Es gibt viele Gründe, sich uns anzuschließen: Wenn Sie nach einer abwechslungsreichen und bedeutungsvollen beruflichen Zukunft streben, in der Sie gemeinsam mit anderen brillanten Köpfen wirklich etwas bewegen können, möchten wir Sie in unserem Team haben.

Genomic Data Scientist (alle Geschlechter)

DEINE AUFGABEN UND VERANTWORTLICHKEITEN

Verantwortlichkeiten für die Position

  • Du führst Qualitätskontrollen (QC) für WGS-Daten durch, einschließlich Varianten- und Proben-QC-Checks
  • Du entwickelst eine robuste, automatisierte und skalierbare WGS-QC-Pipeline für cloudbasierte Plattformen
  • Du harmonisierst und implementierst Datenanalyse-Strategien über interne Datenressourcen hinweg
  • Du präsentierst Ergebnisse und Literaturübersichten bei Bedarf in Gruppentreffen
  • Du arbeitest eng mit anderen Gruppenmitgliedern und Fachexpert*innen innerhalb und außerhalb des Unternehmens zusammen

Spezifische Aufgaben

  • Du annotierst genetische Varianten mit Tools wie VEP, LOFTEE und AlphaMissense
  • Du entwickelst eine Pipeline zur Extraktion von WES-Inhalten aus WGS-Daten
  • Du führst Analysen von strukturellen Varianten durch
  • Du baust robuste, automatisierte und skalierbare Analyse-Pipelines für Einzelvarianten- und Genbelastungsanalysen zur Unterstützung interner Projekte im Rahmen präklinischer und klinischer Programme

WAS DU MITBRINGST

Wir freuen uns über Dein Talent und Deine Leidenschaft für diese Position. Die richtigen Talente gewinnen zu können, ist uns ein wichtiges Anliegen. Gerne identifizieren und gestalten wir gemeinsam mit Dir die Karriere- und Entwicklungs-möglichkeiten, die Du suchst – auch in Teilzeit. Und wenn Du nicht alle Anforderungen erfüllst, freuen wir uns trotzdem auf Deine Bewerbung. Wir alle lernen dazu!

  • Du verfügst über einen Ph.D. in Bioinformatik, Computational Biology oder einem angrenzenden Fachgebiet und verfügst über Erfahrung als PostDoc
  • Du bringst umfangreiche Erfahrung in der Analyse von WGS-Daten und Bioinformatik-Tools mit
  • Dein Verständnis für die Annotation und Interpretation genetischer Varianten ist stark ausgeprägt
  • Du beherrschst Programmiersprachen wie Python, R oder ähnliche
  • Erfahrung mit Workflow Description Languages wie WDL oder Nextflow zeichnet dich aus
  • Du bist vertraut mit Linux-Umgebungen, Hochleistungsrechnern und/oder Cloud-Computing-Umgebungen und hast breite Erfahrung mit Open-Source-Bioinformatik-Tools zur Generierung wissenschaftlicher Erkenntnisse
  • Hervorragende Kommunikations- und Dokumentationsfähigkeiten gehören zu deinen Stärken
  • Die besitzt die Fähigkeit, effektiv in einem multidisziplinären Team zu arbeiten
  • Fließende Englischkenntnisse in Wort und Schrift runden dein Profil ab

WAS WIR BIETEN

Unser Leistungspaket ist flexibel, wertschätzend und auf deine Lebensweise zugeschnitten, denn: Was dir wichtig ist, ist uns wichtig!

  • Deine finanzielle Stabilität sichern wir durch ein wettbewerbsfähiges Vergütungspaket, bestehend aus einem attraktiven Funktionseinkommen, Vertriebsanreizen und einem leistungsorientierten Bonus
  • Ob hybride Arbeitsmodelle oder Teilzeit: Wann immer es möglich ist, geben wir dir die Flexibilität zu arbeiten wie und wann es für dich am besten ist
  • Deine Familie hat erste Priorität: Wir bieten liebevolle Konzernkitas an vielen Standorten, Unterstützung bei der Suche nach Kinderbetreuung, Freistellung für die Pflege von Familienmitgliedern, Ferienprogramme und vieles mehr
  • Deine Weiterentwicklung fördern wir durch Zugang zu Lern- und Entwicklungsmaßnahmen, Schulungen und Trainings der Bayer Learning Academy, Entwicklungsdialoge, sowie durch Coaching und Mentoringprogramme
  • Deine Gesundheit und einen selbstfürsorglichen Lebensstil unterstützen wir durch viele Maßnahmen, wie kostenlose HealthChecks beim Werksarzt, Gesundheitsseminare und unsere Gesundheitsplattform #machfit
  • Diversität feiern wir in einer inklusiven Arbeitsumgebung, in der du willkommen geheißen, unterstützt und ermutigt wirst, deine ganze Persönlichkeit einzubringen

Die Stelle ist auf 12 Monate befristet zu besetzen.

Be You. Be Bayer.

IHRE BEWERBUNG

Dies ist Ihre Chance, sich mit uns gemeinsam den größten globalen Herausforderungen unserer Zeit zu stellen: die Gesundheit der Menschen zu erhalten, die wachsende Weltbevölkerung zu ernähren und den Klimawandel zu verlangsamen. Sie haben eine Stimme, Ideen und Perspektiven, die wir hören möchten. Denn unser Erfolg beginnt mit Ihnen. Seien Sie dabei!

Bayer begrüßt Bewerbungen aller Menschen ungeachtet von ethnischer Herkunft, nationaler Herkunft, Geschlecht, Alter, körperlichen Merkmalen, sozialer Herkunft, Behinderung, Mitgliedschaft in einer Gewerkschaft, Religion, Familienstand, Schwangerschaft, sexueller Orientierung, Geschlechtsidentität oder einem anderen sachfremden Kriterium nach geltendem Recht. Wir bekennen uns zu dem Grundsatz, alle Bewerber*innen fair zu behandeln und Benachteiligungen zu vermeiden.

Standort: Deutschland : Berlin : Berlin || Deutschland : Nordrhein-Westfalen : Wuppertal-Aprath

Division: Pharmaceuticals

Referenzcode: 823921

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",2024-08-05,[] +3988544166,https://de.linkedin.com/jobs/view/ml-engineer-at-vattenfall-3988544166?position=7&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=wnOp9oL%2FEBkmRqkWaf%2BZFA%3D%3D&trk=public_jobs_jserp-result_search-card,ML Engineer,Vattenfall,"Berlin, Berlin, Germany","Über die Stelle + +Du arbeitest für unsere Customer IT + +Unsere Customer IT entwickelt und betreibt in enger Kooperation mit Fachabteilungen spezialisierte IT-Lösungen, die unsere mehr als 5 Millionen nationalen Endverbraucher unterstützen, die Effizienz unserer Service Partner im Call Center Betrieb sicherstellen und unsere regulatorischen Marktaufgaben ermöglichen. Die Customer-IT ist dabei in Deutschland auf sechs Teams mit Kolleg:innen sowohl in Hamburg als auch in Berlin aufgeteilt. + +Nach einer Vielzahl erfolgreicher Piloten und dem produktiven Massenroll-Out ambitionierter BI/AI/ML Services ist die Entscheidung gefallen, unser lokales „Customer Analytics“ Team dramatisch zu stärken! Wir haben deshalb eine Anzahl zusätzlicher Positionen geschaffen, wobei drei jetzt unterschiedliche Rollen zur Ausschreibung kommen: + + +(Junior/Senior) Machine Learning Engineer +Solution Architekt “BI/AI/ML Solutions” Germany +(Junior/Senior) Data & ML Engineer AWS + + +Du schlägst die Brücke zwischen IT-Technologie und Business Mehrwert + +Unser Customer Analytics Team besteht aus mehr als 25 hochspezialisierten Data Engineers, Data Scientists, Application Consultants, Entwickler:innen und ML Engineers. Das schlagkräftige Team zeichnet sich durch seine breite Aufstellung, unterschiedliche Karrierewege sowie eine hohe Fach- und Prozesskompetenz aus. Sein Anspruch ist, die internationale Vattenfall Gruppe bezüglich Machine Learning und Data Engineering vorwärts zu bringen und an der „Grenze des technisch Machbaren“ zu befähigen. + +Als Machine Learning (ML) Engineer stößt Du explorative Pilotprojekte an und implementierst innovative Lösungen rund um unsere cloudbasierte analytische Plattform, die beständig um die neuesten Microsoft Azure Technologie erweitert wird. Dir steht das ganze Spektrum der Microsoft Azure AI Services inkl. Azure OpenAI, Azure Functions, Cognitive Search sowie eigene Entwicklungen in Python, R, (Py)Spark, SQL DBs, Azure Data Factory, Databricks oder SAP BWonHANA bis hin zu differenzierenden AWS-Komponenten zur Verfügung. + +Wir ermöglichen Dir, die gesamte Wertschöpfungskette abzudecken: von der Anbindung unterschiedlicher Datenquellen (ETL) bis zur Entwicklung komplexer Abfrage- und Analyseroutinen sowie der Umsetzung zielgruppengerechter Visualisierungslösungen; Du machst den Unterschied! + +Neben Deiner Technologie- und Lösungskompetenz überzeugt dabei Dein ganzheitlicher Beratungsansatz. Du trägst mit dazu bei, dass Vattenfall seine führende Position auf dem deutschen Energiemarkt festigt, die fossil-freie Energiewende Wirklichkeit wird und unsere Business Prozesse skalierbar, digital, daten-getrieben und durchgehend kundenorientiert ablaufen. + +Location + +Berlin oder Hamburg + +Ihr Profil + +Was zeichnet Dich aus? + +Du verfügst über einen akademischen Abschluss in Informatik/Computer Science, Information Management, Enterprise Automation oder einem ähnlichen natur- bzw. ingenieurwissenschaftlichem Fachgebiet. + +Wir glauben, dass die nachstehenden Fähigkeiten Dich in der Position erfolgreich machen werden: + + +Du hast Freude daran, mit viel Engagement, Spaß und Herzblut Brücken zwischen technischer Innovation und dem realisiertem Business-Mehrwert zu bauen +Du deckst mathematische bzw. stochastische Zusammenhänge auf und beherrscht einige der folgenden Technologien: +MS Azure (z.B. Data Factory, Azure Functions, Azure Analysis Services, DevOps, uvm.) +DWH-Lösungen, wie Azure Synapse oder Snowflake +Python, Spark, PySpark, R, C#, Java +ETL (bspw. Azure Data Factory, Matillion, …) +(MS)SQL, Databricks, Delta Lake +Machine Learning / Deep Learning (z.B. via TensorFlow, Keras, PyTorch, Caffe2, etc.) +Erfahrungen in der Implementierung von IVR-Lösungen sind genauso von Vorteil, wie BI/AI/ML-Kompetenzen in der Digitalisierung von B2C-Massenprozessen (im deutschen Energievertrieb) oder der Contact Center Automatisierung +Du überzeugst im persönlichen Umgang mit Deiner Authentizität, Verbindlichkeit und Offenheit und lebst unsere Vattenfall Kernwerte: „Connect People, Accelerate Learning and Drive Innovation“ +Du kommunizierst auf Englisch genauso gut wie auf Deutsch (C1) + + +Zusätzliche Informationen + +Was wir bieten + +Arbeiten bei Vattenfall ist mehr als „nur“ ein interessanter Job in einem ergebnisorientierten Unternehmen. Du wirst Teil eines spannenden, innovativen und internationalen Arbeitsumfeldes, welches unsere Zukunft aktiv mitgestalten kann. Wir wollen die Besten in dem sein, was wir tun. Wir bieten Dir eine wettbewerbsfähige Vergütung sowie Möglichkeiten für Schulungen und persönliche Weiterentwicklung. + +Wir möchten unseren Mitarbeiter:innen eine ausgewogene Balance zwischen Beruf und Familie ermöglichen. Aus diesem Grund bieten wir flexible Optionen an, wie die Möglichkeit, im Home Office zu arbeiten. + +Weitere Informationen + +Wir freuen uns über Deine Bewerbung in deutscher Sprache bis spätestens 31.08.2024. Wir bitten dich, Bewerbungen ausschließlich über unsere Website einzureichen, da wir nicht garantieren können, dass wir Bewerbungen bearbeiten, die nicht über unsere Website eingehen. + +Für weitere Informationen zu dieser Position kannst Du dich an den Hiring Manager Carsten Schrijver (carsten.schrijver@vattenfall.de) wenden. Fragen zum Bewerbungsprozess beantwortet Dir der Recruiter Marius Gläßge gerne per E-Mail unter marius.glaessge@vattenfall.de. + +Wir sind davon überzeugt, dass Vielfalt dazu beiträgt, unser Unternehmen leistungsfähiger und attraktiver zu machen. Bewerbungen zum Beispiel von Personen jeglichen Alters, geschlechtlicher Identität, sexueller Orientierung, ethnisch-kulturellen Hintergrunds sind herzlich willkommen. Schwerbehinderte Menschen werden bei gleicher fachlicher Eignung besonders berücksichtigt. + +Die Sicherheit von Vattenfall und seinen Beschäftigten ist von grundlegender Bedeutung. Aus diesem Grund ist ein Pre-Employment Screening Teil des Rekrutierungsprozesses. Der Umfang der Überprüfung variiert je nach Funktion und Einsatzbereich. Das Screening wird von einem Drittanbieter, Validata, durchgeführt. + +Wir freuen uns auf deine Bewerbung! + +Über das Unternehmen + +Energie ist unser Beitrag zur Lebensqualität – jeden Tag aufs Neue. Mit rund 21.000 Mitarbeitenden stellt Vattenfall umfassende Angebote rund um Strom und Wärme für mehrere Millionen Kund:innen in Nordeuropa bereit. Für die kommenden Aufgaben brauchen wir Menschen, die sich mit ganzer Kraft für unsere Kund:innen und eine nachhaltige Gesellschaft engagieren – Menschen wie dich. +Show more ","
+ + + + + +
+
+ Über die Stelle

Du arbeitest für unsere Customer IT

Unsere Customer IT entwickelt und betreibt in enger Kooperation mit Fachabteilungen spezialisierte IT-Lösungen, die unsere mehr als 5 Millionen nationalen Endverbraucher unterstützen, die Effizienz unserer Service Partner im Call Center Betrieb sicherstellen und unsere regulatorischen Marktaufgaben ermöglichen. Die Customer-IT ist dabei in Deutschland auf sechs Teams mit Kolleg:innen sowohl in Hamburg als auch in Berlin aufgeteilt.

Nach einer Vielzahl erfolgreicher Piloten und dem produktiven Massenroll-Out ambitionierter BI/AI/ML Services ist die Entscheidung gefallen, unser lokales „Customer Analytics“ Team dramatisch zu stärken! Wir haben deshalb eine Anzahl zusätzlicher Positionen geschaffen, wobei drei jetzt unterschiedliche Rollen zur Ausschreibung kommen:

  • (Junior/Senior) Machine Learning Engineer
  • Solution Architekt “BI/AI/ML Solutions” Germany
  • (Junior/Senior) Data & ML Engineer AWS

Du schlägst die Brücke zwischen IT-Technologie und Business Mehrwert

Unser Customer Analytics Team besteht aus mehr als 25 hochspezialisierten Data Engineers, Data Scientists, Application Consultants, Entwickler:innen und ML Engineers. Das schlagkräftige Team zeichnet sich durch seine breite Aufstellung, unterschiedliche Karrierewege sowie eine hohe Fach- und Prozesskompetenz aus. Sein Anspruch ist, die internationale Vattenfall Gruppe bezüglich Machine Learning und Data Engineering vorwärts zu bringen und an der „Grenze des technisch Machbaren“ zu befähigen.

Als Machine Learning (ML) Engineer stößt Du explorative Pilotprojekte an und implementierst innovative Lösungen rund um unsere cloudbasierte analytische Plattform, die beständig um die neuesten Microsoft Azure Technologie erweitert wird. Dir steht das ganze Spektrum der Microsoft Azure AI Services inkl. Azure OpenAI, Azure Functions, Cognitive Search sowie eigene Entwicklungen in Python, R, (Py)Spark, SQL DBs, Azure Data Factory, Databricks oder SAP BWonHANA bis hin zu differenzierenden AWS-Komponenten zur Verfügung.

Wir ermöglichen Dir, die gesamte Wertschöpfungskette abzudecken: von der Anbindung unterschiedlicher Datenquellen (ETL) bis zur Entwicklung komplexer Abfrage- und Analyseroutinen sowie der Umsetzung zielgruppengerechter Visualisierungslösungen; Du machst den Unterschied!

Neben Deiner Technologie- und Lösungskompetenz überzeugt dabei Dein ganzheitlicher Beratungsansatz. Du trägst mit dazu bei, dass Vattenfall seine führende Position auf dem deutschen Energiemarkt festigt, die fossil-freie Energiewende Wirklichkeit wird und unsere Business Prozesse skalierbar, digital, daten-getrieben und durchgehend kundenorientiert ablaufen.

Location

Berlin oder Hamburg

Ihr Profil

Was zeichnet Dich aus?

Du verfügst über einen akademischen Abschluss in Informatik/Computer Science, Information Management, Enterprise Automation oder einem ähnlichen natur- bzw. ingenieurwissenschaftlichem Fachgebiet.

Wir glauben, dass die nachstehenden Fähigkeiten Dich in der Position erfolgreich machen werden:

  • Du hast Freude daran, mit viel Engagement, Spaß und Herzblut Brücken zwischen technischer Innovation und dem realisiertem Business-Mehrwert zu bauen
  • Du deckst mathematische bzw. stochastische Zusammenhänge auf und beherrscht einige der folgenden Technologien:
    • MS Azure (z.B. Data Factory, Azure Functions, Azure Analysis Services, DevOps, uvm.)
    • DWH-Lösungen, wie Azure Synapse oder Snowflake
    • Python, Spark, PySpark, R, C#, Java
    • ETL (bspw. Azure Data Factory, Matillion, …)
    • (MS)SQL, Databricks, Delta Lake
    • Machine Learning / Deep Learning (z.B. via TensorFlow, Keras, PyTorch, Caffe2, etc.)
  • Erfahrungen in der Implementierung von IVR-Lösungen sind genauso von Vorteil, wie BI/AI/ML-Kompetenzen in der Digitalisierung von B2C-Massenprozessen (im deutschen Energievertrieb) oder der Contact Center Automatisierung
  • Du überzeugst im persönlichen Umgang mit Deiner Authentizität, Verbindlichkeit und Offenheit und lebst unsere Vattenfall Kernwerte: „Connect People, Accelerate Learning and Drive Innovation“
  • Du kommunizierst auf Englisch genauso gut wie auf Deutsch (C1)

Zusätzliche Informationen

Was wir bieten

Arbeiten bei Vattenfall ist mehr als „nur“ ein interessanter Job in einem ergebnisorientierten Unternehmen. Du wirst Teil eines spannenden, innovativen und internationalen Arbeitsumfeldes, welches unsere Zukunft aktiv mitgestalten kann. Wir wollen die Besten in dem sein, was wir tun. Wir bieten Dir eine wettbewerbsfähige Vergütung sowie Möglichkeiten für Schulungen und persönliche Weiterentwicklung.

Wir möchten unseren Mitarbeiter:innen eine ausgewogene Balance zwischen Beruf und Familie ermöglichen. Aus diesem Grund bieten wir flexible Optionen an, wie die Möglichkeit, im Home Office zu arbeiten.

Weitere Informationen

Wir freuen uns über Deine Bewerbung in deutscher Sprache bis spätestens 31.08.2024. Wir bitten dich, Bewerbungen ausschließlich über unsere Website einzureichen, da wir nicht garantieren können, dass wir Bewerbungen bearbeiten, die nicht über unsere Website eingehen.

Für weitere Informationen zu dieser Position kannst Du dich an den Hiring Manager Carsten Schrijver (carsten.schrijver@vattenfall.de) wenden. Fragen zum Bewerbungsprozess beantwortet Dir der Recruiter Marius Gläßge gerne per E-Mail unter marius.glaessge@vattenfall.de.

Wir sind davon überzeugt, dass Vielfalt dazu beiträgt, unser Unternehmen leistungsfähiger und attraktiver zu machen. Bewerbungen zum Beispiel von Personen jeglichen Alters, geschlechtlicher Identität, sexueller Orientierung, ethnisch-kulturellen Hintergrunds sind herzlich willkommen. Schwerbehinderte Menschen werden bei gleicher fachlicher Eignung besonders berücksichtigt.

Die Sicherheit von Vattenfall und seinen Beschäftigten ist von grundlegender Bedeutung. Aus diesem Grund ist ein Pre-Employment Screening Teil des Rekrutierungsprozesses. Der Umfang der Überprüfung variiert je nach Funktion und Einsatzbereich. Das Screening wird von einem Drittanbieter, Validata, durchgeführt.

Wir freuen uns auf deine Bewerbung!

Über das Unternehmen

Energie ist unser Beitrag zur Lebensqualität – jeden Tag aufs Neue. Mit rund 21.000 Mitarbeitenden stellt Vattenfall umfassende Angebote rund um Strom und Wärme für mehrere Millionen Kund:innen in Nordeuropa bereit. Für die kommenden Aufgaben brauchen wir Menschen, die sich mit ganzer Kraft für unsere Kund:innen und eine nachhaltige Gesellschaft engagieren – Menschen wie dich. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3988035634,https://de.linkedin.com/jobs/view/associate-data-scientist-logistics-rider-all-genders-at-delivery-hero-3988035634?position=8&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=P%2Bbd7qZbV9VXnjHE0BSeKQ%3D%3D&trk=public_jobs_jserp-result_search-card,"(Associate) Data Scientist - Logistics, Rider (all genders)",Delivery Hero,"Berlin, Berlin, Germany","About The Opportunity + +We are looking for an (Associate) Data Scientist - Logistics, Rider (all genders) to join our team to help us create a fast, reliable and transparent delivery experience. + +You will join the new Data Science squad in the Deliveries tribe, a team set up to support all aspects of the rider journey during their day-to-day tasks with a focus on the last 100 meters of delivery. Together with your team you will work on projects ranging from providing accurate route information, and location pings, improving the ease of identifying partner and customer locations, and developing fraud detection models. We pride ourselves on our ability to connect research and theory to practical problems, and to bring our solutions to production systems. The squad is supported by an amazing squad of ML engineers who build reusable tooling to allow our data scientists to focus on solving modeling challenges. We also integrate closely with product teams so that we keep connected to the needs of the organization. + +If you are a creative problem solver who is hungry for a new adventure, a diverse, international and inclusive workplace is waiting for you in the heart of Berlin! + + +Conceptualize the right modeling approach for challenges in the field of Logistics at scale together with your squad lead and our stakeholders, using cutting-edge research to inform your decisions. +Build solutions end-to-end from inception to production-grade systems - including research & prototyping, gathering data requirements, cross-team alignment, product development, experimentation, deployment and monitoring. +Work on projects centered around experimental design and A/B testing, fraud modeling, and location denoising, and make an impact in a global, fast-moving tech organization delivering more than 5 million orders each day. +Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together. Pitching new ideas and improvement proposals to non-technical stakeholders. +Help defining data needs to further improve existing projects, to support data engineering and tech teams in planning their roadmap. + + +What you need to be successful + + +You speak fluent Python, and are familiar with its scientific computing stack such as NumPy, Pandas, Scikit-learn, Matplotlib, etc. Other languages are a bonus! +You write clean, maintainable code following best-practices, and know how to make your code run in a container for reusability and cloud deployment. +You are fluent in SQL, and know how to work with large-scale datasets on platforms like Google BigQuery or Amazon Redshift. +You have experience with a range of software engineering tools including Git, Docker, cloud technologies like GCP or AWS, Kubernetes and Airflow. +You have prior experience applying machine learning or statistical methods to real-world datasets, and a proven track record of delivering data science solutions to production systems. +You have a strong sense of responsibility and desire to run software for millions of users: we build it, we run it. +You have an eye for detail. Before starting to work on a use-case, you carefully challenge existing assumptions and care about clean data. +You are a strong communicator, and can explain the intuition behind your modeling approach to people with both technical and non-technical backgrounds. + + +Who we are + +As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero + +What's in it for you + +Nice-To-Haves + + +Prior exposure to location data (GPS pings, maps, geographical shapes, etc.), and geospatial modeling. +First-hand experience with large-scale problems in the logistics or e-commerce industries. +Hands-on experience planning, carrying out, and analyzing results of A/B tests. +Experience deploying complex models to serve live traffic. + + +At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent. +Show more ","
+ + + + + +
+
+ About The Opportunity

We are looking for an (Associate) Data Scientist - Logistics, Rider (all genders) to join our team to help us create a fast, reliable and transparent delivery experience.

You will join the new Data Science squad in the Deliveries tribe, a team set up to support all aspects of the rider journey during their day-to-day tasks with a focus on the last 100 meters of delivery. Together with your team you will work on projects ranging from providing accurate route information, and location pings, improving the ease of identifying partner and customer locations, and developing fraud detection models. We pride ourselves on our ability to connect research and theory to practical problems, and to bring our solutions to production systems. The squad is supported by an amazing squad of ML engineers who build reusable tooling to allow our data scientists to focus on solving modeling challenges. We also integrate closely with product teams so that we keep connected to the needs of the organization.

If you are a creative problem solver who is hungry for a new adventure, a diverse, international and inclusive workplace is waiting for you in the heart of Berlin!

  • Conceptualize the right modeling approach for challenges in the field of Logistics at scale together with your squad lead and our stakeholders, using cutting-edge research to inform your decisions.
  • Build solutions end-to-end from inception to production-grade systems - including research & prototyping, gathering data requirements, cross-team alignment, product development, experimentation, deployment and monitoring.
  • Work on projects centered around experimental design and A/B testing, fraud modeling, and location denoising, and make an impact in a global, fast-moving tech organization delivering more than 5 million orders each day.
  • Provide ideas in brainstorming sessions with your Data Science colleagues to solve the toughest modeling problems together. Pitching new ideas and improvement proposals to non-technical stakeholders.
  • Help defining data needs to further improve existing projects, to support data engineering and tech teams in planning their roadmap.

What you need to be successful

  • You speak fluent Python, and are familiar with its scientific computing stack such as NumPy, Pandas, Scikit-learn, Matplotlib, etc. Other languages are a bonus!
  • You write clean, maintainable code following best-practices, and know how to make your code run in a container for reusability and cloud deployment.
  • You are fluent in SQL, and know how to work with large-scale datasets on platforms like Google BigQuery or Amazon Redshift.
  • You have experience with a range of software engineering tools including Git, Docker, cloud technologies like GCP or AWS, Kubernetes and Airflow.
  • You have prior experience applying machine learning or statistical methods to real-world datasets, and a proven track record of delivering data science solutions to production systems.
  • You have a strong sense of responsibility and desire to run software for millions of users: we build it, we run it.
  • You have an eye for detail. Before starting to work on a use-case, you carefully challenge existing assumptions and care about clean data.
  • You are a strong communicator, and can explain the intuition behind your modeling approach to people with both technical and non-technical backgrounds.

Who we are

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero

What's in it for you

Nice-To-Haves

  • Prior exposure to location data (GPS pings, maps, geographical shapes, etc.), and geospatial modeling.
  • First-hand experience with large-scale problems in the logistics or e-commerce industries.
  • Hands-on experience planning, carrying out, and analyzing results of A/B tests.
  • Experience deploying complex models to serve live traffic.

At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3992195156,https://de.linkedin.com/jobs/view/senior-machine-learning-engineer-all-genders-at-kertos-3992195156?position=10&pageNum=5&refId=2fWydus9Tdr4UZJmnCX%2F7A%3D%3D&trackingId=4i%2FAC2SiIFRXj9f%2FMmhEZA%3D%3D&trk=public_jobs_jserp-result_search-card,(Senior) Machine Learning Engineer (all genders),Kertos,"Berlin, Berlin, Germany","Kertos Intro + +⚠️ Given the nature of this research project's funding, you have to be a resident of Berlin, Germany and open to spending 2-3 days in the office on site there. If this is not your case, please don’t apply, as it is a hard requirement. Please also note that we cannot offer assistance with relocation or visa sponsorship at the moment. + +Your purpose at Kertos + +You’re part of our newest Product Squad in Berlin which will focus on our latest research project to push the automation capabilities of the Kertos Platform even further. As Machine Learning Engineer here at Kertos, you’ll own the machine learning aspect of this project, where we continuously integrate cutting-edge models and frameworks to bring various LLM-based features to life. From conceptualising models, knowledge graphs to bringing the models to live and ensuring its functionality across the whole lifecycle of our models – you’ll have a huge impact on the future of our company and revolutionise the information security and data privacy landscape with us! + +What You’ll Be Doing Here + + +Contribute in product development: bring in your ideas and automate workflows, improve suggestions and increase user satisfaction even further +Develop technical concepts and approaches across the whole development lifecycle +Collaborate with your team members to achieve internal automation as well as a seamless integration into our existing tech stack +Integrate MLOps principles and tools that help you and your team for development +Make sure the developed models work as expected in our production environments in a secure and stable way +Be creative in acquiring new data automatically to enhance our models and systems +Build the foundation of various AI-driven use cases for the Kertos platform + + +The skills, motivation, and mentality you should bring + + +You are an expert when it comes to Python and Machine Learning with multiple years of professional experience +You have hands-on knowledge about MLOps and bringing models to production +If you also have experience with knowledge graphs and/or NLP & embeddings, this would be a big plus +You constantly challenge our status quo, love to spark innovation and strive to grow with us, as a team +You are a strong communicator and have excellent collaboration abilities to effectively work in cross-functional, agile teams + + +Why Kertos + + +Number one: You get to build our Machine Learning toolchain and software from the ground up, using the newest technologies +Best of both worlds: As this is a research project, you will get both the benefits of research and cutting edge technology as well as startup culture in our Berlin Office +You are Kertos: Don’t like something? Could be done better? You have the freedom to push things forward and contribute to making Kertos a great place to work +Unique opportunity: Join the growing team of one of Europe’s most promising early stages companies and to work directly with our CTO and co-founder Alex +Regular Feedback: We foster an open feedback culture and support your growth with regular 1-on-1 meetings +Keep growing: To boost your professional and personal growth, we provide you with a Personal Development Budget of 1.500€ per year +Mental Health: We've partnered with Likeminded to prioritize your well-being, offering personalized mental health support for all employees +Cutting Edge Technology: Leading VCs have invested in our vision to revolutionize how data protection management and compliance measures are handled sustainably +For Sports Enthusiasts: We subsidize your Wellpass membership for your physical fitness for a better work-life balance +Teamwork Makes the Dream Work: We are a strong team that supports each other, and we also have a lot of fun together beyond work and across different locations + + +Sounds like you are the one we’ve been looking for? + +Perfect, let's have a chat! Just send in your CV. We are excited to meet you soon. + +In case you have any questions, feel free to reach out to Lena from our People & Culture team. She's happy to answer all your questions. + +About Us + +At Kertos, we've made it our mission to develop Europe's first compliance automation system to enhance compliance operations for everyone. We are a technology company, founded in 2021, providing a novel no-code system integration solution for data privacy operations and requirements. Our platforms offers complete automation of data privacy functions, including deletion concepts, access requests, and RoPAs, all with just one click. Backed by some of the most renowned VCs and Business Angels, we are looking for passionate individuals to grow our team and rethink data privacy with us. Join us on our ride toward the future of compliance! +Show more ","
+ + + + + +
+
+ Kertos Intro

⚠️ Given the nature of this research project's funding, you have to be a resident of Berlin, Germany and open to spending 2-3 days in the office on site there. If this is not your case, please don’t apply, as it is a hard requirement. Please also note that we cannot offer assistance with relocation or visa sponsorship at the moment.

Your purpose at Kertos

You’re part of our newest Product Squad in Berlin which will focus on our latest research project to push the automation capabilities of the Kertos Platform even further. As Machine Learning Engineer here at Kertos, you’ll own the machine learning aspect of this project, where we continuously integrate cutting-edge models and frameworks to bring various LLM-based features to life. From conceptualising models, knowledge graphs to bringing the models to live and ensuring its functionality across the whole lifecycle of our models – you’ll have a huge impact on the future of our company and revolutionise the information security and data privacy landscape with us!

What You’ll Be Doing Here

  • Contribute in product development: bring in your ideas and automate workflows, improve suggestions and increase user satisfaction even further
  • Develop technical concepts and approaches across the whole development lifecycle
  • Collaborate with your team members to achieve internal automation as well as a seamless integration into our existing tech stack
  • Integrate MLOps principles and tools that help you and your team for development
  • Make sure the developed models work as expected in our production environments in a secure and stable way
  • Be creative in acquiring new data automatically to enhance our models and systems
  • Build the foundation of various AI-driven use cases for the Kertos platform

The skills, motivation, and mentality you should bring

  • You are an expert when it comes to Python and Machine Learning with multiple years of professional experience
  • You have hands-on knowledge about MLOps and bringing models to production
  • If you also have experience with knowledge graphs and/or NLP & embeddings, this would be a big plus
  • You constantly challenge our status quo, love to spark innovation and strive to grow with us, as a team
  • You are a strong communicator and have excellent collaboration abilities to effectively work in cross-functional, agile teams

Why Kertos

  • Number one: You get to build our Machine Learning toolchain and software from the ground up, using the newest technologies
  • Best of both worlds: As this is a research project, you will get both the benefits of research and cutting edge technology as well as startup culture in our Berlin Office
  • You are Kertos: Don’t like something? Could be done better? You have the freedom to push things forward and contribute to making Kertos a great place to work
  • Unique opportunity: Join the growing team of one of Europe’s most promising early stages companies and to work directly with our CTO and co-founder Alex
  • Regular Feedback: We foster an open feedback culture and support your growth with regular 1-on-1 meetings
  • Keep growing: To boost your professional and personal growth, we provide you with a Personal Development Budget of 1.500€ per year
  • Mental Health: We've partnered with Likeminded to prioritize your well-being, offering personalized mental health support for all employees
  • Cutting Edge Technology: Leading VCs have invested in our vision to revolutionize how data protection management and compliance measures are handled sustainably
  • For Sports Enthusiasts: We subsidize your Wellpass membership for your physical fitness for a better work-life balance
  • Teamwork Makes the Dream Work: We are a strong team that supports each other, and we also have a lot of fun together beyond work and across different locations

Sounds like you are the one we’ve been looking for?

Perfect, let's have a chat! Just send in your CV. We are excited to meet you soon.

In case you have any questions, feel free to reach out to Lena from our People & Culture team. She's happy to answer all your questions.

About Us

At Kertos, we've made it our mission to develop Europe's first compliance automation system to enhance compliance operations for everyone. We are a technology company, founded in 2021, providing a novel no-code system integration solution for data privacy operations and requirements. Our platforms offers complete automation of data privacy functions, including deletion concepts, access requests, and RoPAs, all with just one click. Backed by some of the most renowned VCs and Business Angels, we are looking for passionate individuals to grow our team and rethink data privacy with us. Join us on our ride toward the future of compliance! +
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",2024-08-05,[] +3975021479,https://de.linkedin.com/jobs/view/intermediate-python-ai-developer-m-f-d-sap-signavio-next-at-sap-3975021479?position=2&pageNum=7&refId=%2B3t01ZE40lgIKqdogtwS8w%3D%3D&trackingId=7Xz9CyYQ03nT2CgLwyoNlQ%3D%3D&trk=public_jobs_jserp-result_search-card,Intermediate Python & AI Developer (m/f/d) - SAP Signavio NEXT,SAP,"Berlin, Berlin, Germany","We help the world run better + +At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. + +About The Team + +It is SAP Signavio’s mission to assist our customers in their digital transformation. We help them to understand and to improve their business processes in a data-driven way. + +The NEXT engineering team has a high standard for producing quality work at a fast pace. We are looking to expand our team with a candidate that matches this standard. + +You'll work alongside creative thinkers who share your interests in an environment that encourages free and open expression of ideas. You will learn from experienced colleagues via on-the-job training and mentoring. This position is an opportunity to super-charge your career as a developer. + +What You'll Do + + +You will learn how to work in a senior software engineering team and build software products with real customer impact. +As part of your work assignments, you will leverage LLMs and your backend development skills to solve real-world problems of Signavio customers. + + +What You'll Bring + +Strong software engineering skills on back-end engineering on complex, data-intensive applications. + + +Professional, real-world experience with applications at scale. +hands-on experience across a few back-end web frameworks, preferably Python and FastAPI. Please share your GitHub profile. +Light DevOps experience and an understanding of infrastructure best practices. +Bonus: Experience with task queues, message buses, event-driven and serverless architecture + + +Curiosity and enthusiasm for the capabilities of Large Language Models. + + +One or more serious projects (side projects are fine) of using LLMs in interesting ways in a unique domain. +Ability to break down a problem into chunks, making thoughtful decisions about which things to push to the LLM and which stay within the realm of conventional heuristics and compute capabilities. + + +An understanding of the challenges that come along with working with LLMs (high latency, variance, etc.) leading to a defensive, fault-first mindset. + + +Careful and principled handling of error cases, asynchronous code (and ability to reason about and debug it), streaming data, caching, logging and analytics for understanding behavior in production. + + +Strong Communication Skills + + +Fluent in English, with the ability to articulate complex technical concepts clearly and effectively to both technical and non-technical stakeholders. +Skilled in writing clear, concise, and comprehensive technical documentation. +Proficient in giving presentations and leading discussions on technical topics, fostering a collaborative environment. +Strong interpersonal skills, with the ability to work well in a team and communicate effectively across different departments. +During the interview process, candidates must be able to share and defend non-trivial code from one of their previous projects. +Completed Bachelor or Masters program in Computer Science or related technical field, respectively equivalent practical experience. + + +Kindly link your Github Profile in your application! + +Preferred Experience + + +Experience in Business Process Management, Process Mining / BPM / task mining projects is a plus. +Experience in entrepreneurship is a plus. +Experience working with geographically dispersed teams is a plus. + + +#sapsignavio #SAPBPICareers, #Signavio_PE, #SAPCloudreq, #ICC24 + +Bring out your best + +SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. + +We win with inclusion + +SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. + +SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. + +For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. + +Requisition ID: 400645 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time or Part-Time | Additional Locations: Virtual - Germany or Munich or St. Leon-Rot + + +Show more ","
+ + + + + +
+
+ We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

About The Team

It is SAP Signavio’s mission to assist our customers in their digital transformation. We help them to understand and to improve their business processes in a data-driven way.

The NEXT engineering team has a high standard for producing quality work at a fast pace. We are looking to expand our team with a candidate that matches this standard.

You'll work alongside creative thinkers who share your interests in an environment that encourages free and open expression of ideas. You will learn from experienced colleagues via on-the-job training and mentoring. This position is an opportunity to super-charge your career as a developer.

What You'll Do

  • You will learn how to work in a senior software engineering team and build software products with real customer impact.
  • As part of your work assignments, you will leverage LLMs and your backend development skills to solve real-world problems of Signavio customers.

What You'll Bring

Strong software engineering skills on back-end engineering on complex, data-intensive applications.

  • Professional, real-world experience with applications at scale.
  • hands-on experience across a few back-end web frameworks, preferably Python and FastAPI. Please share your GitHub profile.
  • Light DevOps experience and an understanding of infrastructure best practices.
  • Bonus: Experience with task queues, message buses, event-driven and serverless architecture

Curiosity and enthusiasm for the capabilities of Large Language Models.

  • One or more serious projects (side projects are fine) of using LLMs in interesting ways in a unique domain.
  • Ability to break down a problem into chunks, making thoughtful decisions about which things to push to the LLM and which stay within the realm of conventional heuristics and compute capabilities.

An understanding of the challenges that come along with working with LLMs (high latency, variance, etc.) leading to a defensive, fault-first mindset.

  • Careful and principled handling of error cases, asynchronous code (and ability to reason about and debug it), streaming data, caching, logging and analytics for understanding behavior in production.

Strong Communication Skills

  • Fluent in English, with the ability to articulate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
  • Skilled in writing clear, concise, and comprehensive technical documentation.
  • Proficient in giving presentations and leading discussions on technical topics, fostering a collaborative environment.
  • Strong interpersonal skills, with the ability to work well in a team and communicate effectively across different departments.
  • During the interview process, candidates must be able to share and defend non-trivial code from one of their previous projects.
  • Completed Bachelor or Masters program in Computer Science or related technical field, respectively equivalent practical experience.

Kindly link your Github Profile in your application!

Preferred Experience

  • Experience in Business Process Management, Process Mining / BPM / task mining projects is a plus.
  • Experience in entrepreneurship is a plus.
  • Experience working with geographically dispersed teams is a plus.

#sapsignavio #SAPBPICareers, #Signavio_PE, #SAPCloudreq, #ICC24

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.

SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Requisition ID: 400645 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time or Part-Time | Additional Locations: Virtual - Germany or Munich or St. Leon-Rot

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3955649563,https://de.linkedin.com/jobs/view/data-scientist-adtech-specialist-m-f-d-at-digital-turbine-3955649563?position=3&pageNum=7&refId=%2B3t01ZE40lgIKqdogtwS8w%3D%3D&trackingId=AtHe1wv0L5WS%2BVt2vPDEkA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (AdTech Specialist) - (m/f/d),Digital Turbine,"Berlin, Berlin, Germany","At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem. + +Overview: + +As the largest independent operator of app growth and monetization platforms in the world, we help mobile game developers get more players for new games, and make more money on the games they create. + +Our business is based on real-time traffic, where having the best model yields higher-than-proportional benefits. As a data scientist, uplifting a model’s accuracy by even a 1% improvement translates to millions of dollars in earnings. If you're looking to apply your data science skills in a role that makes huge impact, we would love to hear from you! + +About the Role: + + +Building Machine Learning (ML) models and deploying them to production on a giant scale (we serve 2bn devices globally and handle 200bn requests every day). +Using ML models which are at the heart of our technology platforms to serve the following use-cases: +Predicting mobile users' favourite games based on their gaming and behavioural history +Predicting the value of the users' in-app transactions for mobile game developers +Optimizing our bidding prices in real-time auctions (RTB) +Optimizing infrastructure utilization +Detecting and eliminating fraud +Detecting image content in ads +Collaborating with super-smart employees from different domains - Backend, Data Engineering, Frontend, Product, Business and other Data Scientists who work on building ML models for our company +Working with the following cutting-edge technologies: +AWS, GCP +Google, BigQuery +Databricks and Spark +Python and classic ML libraries +PyTorch, PyTorch Lightning +Experiment Management platforms such as: MLFLOW, Optuna + + +About You: + + +Demonstrated e xperience with AdNetwork is required +3 + years of experience in a Data scientist role +Coding in Python and SQL - +Experience with ML models around tabular datasets - +Experience with cloud environments +Experience with A/B testing and statistical analysis +Knowledge of basic and advanced concepts of Machine Learning +Fluent (native level) English language proficiency +Ability to collaborate with other engineers +Experience with ML models in production +Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage +BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields + + +About Digital Turbine: + +Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices. + +The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020. + +Digital Turbine is an equal opportunity employer committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building this culture within our teams makes us better collaborators and partners, driving better outcomes. + +To view our Global Recruitment Privacy Notice, please click here . +Show more ","
+ + + + + +
+
+ At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

Overview:

As the largest independent operator of app growth and monetization platforms in the world, we help mobile game developers get more players for new games, and make more money on the games they create.

Our business is based on real-time traffic, where having the best model yields higher-than-proportional benefits. As a data scientist, uplifting a model’s accuracy by even a 1% improvement translates to millions of dollars in earnings. If you're looking to apply your data science skills in a role that makes huge impact, we would love to hear from you!

About the Role:

  • Building Machine Learning (ML) models and deploying them to production on a giant scale (we serve 2bn devices globally and handle 200bn requests every day).
  • Using ML models which are at the heart of our technology platforms to serve the following use-cases:
  • Predicting mobile users' favourite games based on their gaming and behavioural history
  • Predicting the value of the users' in-app transactions for mobile game developers
  • Optimizing our bidding prices in real-time auctions (RTB)
  • Optimizing infrastructure utilization
  • Detecting and eliminating fraud
  • Detecting image content in ads
  • Collaborating with super-smart employees from different domains - Backend, Data Engineering, Frontend, Product, Business and other Data Scientists who work on building ML models for our company
  • Working with the following cutting-edge technologies:
  • AWS, GCP
  • Google, BigQuery
  • Databricks and Spark
  • Python and classic ML libraries
  • PyTorch, PyTorch Lightning
  • Experiment Management platforms such as: MLFLOW, Optuna

About You:

  • Demonstrated e xperience with AdNetwork is required
  • 3 + years of experience in a Data scientist role
  • Coding in Python and SQL -
  • Experience with ML models around tabular datasets -
  • Experience with cloud environments
  • Experience with A/B testing and statistical analysis
  • Knowledge of basic and advanced concepts of Machine Learning
  • Fluent (native level) English language proficiency
  • Ability to collaborate with other engineers
  • Experience with ML models in production
  • Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage
  • BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields

About Digital Turbine:

Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.

The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020.

Digital Turbine is an equal opportunity employer committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building this culture within our teams makes us better collaborators and partners, driving better outcomes.

To view our Global Recruitment Privacy Notice, please click here . +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-03,[] +3987555984,https://de.linkedin.com/jobs/view/bio-ai-engineer-at-pharmiweb-jobs-global-life-science-jobs-3987555984?position=6&pageNum=7&refId=%2B3t01ZE40lgIKqdogtwS8w%3D%3D&trackingId=QF33Dh2li6b7IPaSyHwnXw%3D%3D&trk=public_jobs_jserp-result_search-card,Bio- AI Engineer,PharmiWeb.jobs: Global Life Science Jobs,"Berlin, Berlin, Germany","Please note: to apply for this job requires expertise with Mass spectrometry data OR NGS data. AI focus from other industries is not relevant. + +Job Title: AI Engineer + +Location: Berlin, Germany (Hybrid Working Available) + +Company Overview: The company leverages advanced AI technologies to explore the therapeutic potential of natural compounds, focusing on areas with substantial unmet medical needs. + +Role Overview: The AI Platform Engineer will take charge of managing and enhancing the company’s AI platform, a sophisticated system that integrates computational metabolomics, cheminformatics, and knowledge graphs. + +This role is crucial in advancing the platform's capabilities to support the discovery and development of new therapies. + +Key Responsibilities + + +Knowledge Graph Management: Utilize and manage knowledge graph technologies to support complex data integration and analysis, facilitating the identification of new therapeutic targets. +Cloud Infrastructure: Implement and maintain cloud-based solutions to support the scalability and flexibility of the platform, ensuring efficient processing and storage of large datasets. +Metabolomics Analysis: Lead efforts in the analysis of metabolomic data, particularly focusing on mass spectrometry (mass spec) data, to discover neuroactive compounds. +Platform Management: Oversee the overall AI platform, ensuring all components are functioning optimally. This includes enhancing platform capabilities, improving scalability, and integrating new technologies as needed. +Project Leadership: Define project goals and lead the team in setting strategic directions, guiding where the platform should go and how to achieve those objectives. +MLOps Integration: Apply MLOps principles to efficiently transition machine learning models from development into production environments, enabling the delivery of AI-driven products. + + +Required Skills And Experience + + +PHD/ MSc (Machine Learning, Bioinformatics, Mathematics or Physics) + 2/3 years of experience in a company setting. +Advanced proficiency in Python, with experience using libraries and frameworks such as TensorFlow, PyTorch, etc. +Strong background in developing robust data pipelines. (eg. ETL processes, data modeling, and data architecture). +Expertise in graph database technologies (e.g., RDF, Neo4j) and query languages (e.g., SPARQL, Cypher); familiarity with relational databases is a plus. +Demonstrated experience in deploying machine learning models, e.g. NLP or deep learning, within live production settings. +Ability to work independently within a cross-functional team, managing tasks and driving projects with minimal supervision. +Excellent communication skills in English, both written and verbal. + + +Preferred Qualifications: Experience with life science/drug discovery data and familiarity with biomedical ontologies. +Show more ","
+ + + + + +
+
+ Please note: to apply for this job requires expertise with Mass spectrometry data OR NGS data. AI focus from other industries is not relevant.

Job Title: AI Engineer

Location: Berlin, Germany (Hybrid Working Available)

Company Overview: The company leverages advanced AI technologies to explore the therapeutic potential of natural compounds, focusing on areas with substantial unmet medical needs.

Role Overview: The AI Platform Engineer will take charge of managing and enhancing the company’s AI platform, a sophisticated system that integrates computational metabolomics, cheminformatics, and knowledge graphs.

This role is crucial in advancing the platform's capabilities to support the discovery and development of new therapies.

Key Responsibilities

  • Knowledge Graph Management: Utilize and manage knowledge graph technologies to support complex data integration and analysis, facilitating the identification of new therapeutic targets.
  • Cloud Infrastructure: Implement and maintain cloud-based solutions to support the scalability and flexibility of the platform, ensuring efficient processing and storage of large datasets.
  • Metabolomics Analysis: Lead efforts in the analysis of metabolomic data, particularly focusing on mass spectrometry (mass spec) data, to discover neuroactive compounds.
  • Platform Management: Oversee the overall AI platform, ensuring all components are functioning optimally. This includes enhancing platform capabilities, improving scalability, and integrating new technologies as needed.
  • Project Leadership: Define project goals and lead the team in setting strategic directions, guiding where the platform should go and how to achieve those objectives.
  • MLOps Integration: Apply MLOps principles to efficiently transition machine learning models from development into production environments, enabling the delivery of AI-driven products.

Required Skills And Experience

  • PHD/ MSc (Machine Learning, Bioinformatics, Mathematics or Physics) + 2/3 years of experience in a company setting.
  • Advanced proficiency in Python, with experience using libraries and frameworks such as TensorFlow, PyTorch, etc.
  • Strong background in developing robust data pipelines. (eg. ETL processes, data modeling, and data architecture).
  • Expertise in graph database technologies (e.g., RDF, Neo4j) and query languages (e.g., SPARQL, Cypher); familiarity with relational databases is a plus.
  • Demonstrated experience in deploying machine learning models, e.g. NLP or deep learning, within live production settings.
  • Ability to work independently within a cross-functional team, managing tasks and driving projects with minimal supervision.
  • Excellent communication skills in English, both written and verbal.

Preferred Qualifications: Experience with life science/drug discovery data and familiarity with biomedical ontologies. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3981473292,https://de.linkedin.com/jobs/view/mri-engineer-m-f-d-at-deepspin-3981473292?position=7&pageNum=7&refId=%2B3t01ZE40lgIKqdogtwS8w%3D%3D&trackingId=Qfb9W1y1vSEelGbIrrfHqw%3D%3D&trk=public_jobs_jserp-result_search-card,MRI Engineer (m/f/d),DeepSpin,"Berlin, Berlin, Germany","About DeepSpin + +DeepSpin is a HealthTech startup pursuing the mission to make Magnetic Resonance Imaging universally accessible. Today 7 out of 10 people globally do not have access to this life-saving imaging modality. Through our cutting-edge technology we are going to change that. Backed by globally leading VCs, we are now expanding our world-class team. This is a fantastic opportunity to join a team motivated to bring a life-saving technology to the billions of people that currently cannot afford it. + +About The Role + +We are seeking a talented MRI Engineer to join our dynamic team. As an MRI Engineer at DeepSpin, you will play a pivotal role in implementing MRI experiments. This role offers the opportunity to work on cutting-edge MRI technology and contribute to innovative research and development projects. + + +Design, implement, and optimise MRI experiments. +Develop and maintain Python scripts for data analysis, image processing, and experiment automation. +Operate and troubleshoot MRI hardware system. +Participate in prototype testing and validation, making necessary design adjustments based on test results. +Ensure compliance with industry regulations, safety standards, and quality assurance protocols. + + +About You + + +MSc/PhD Degree in STEM (Computer Science, Physics, Mathematics, Engineering, etc) +3+ years of experience in leading MRI experiments. +Fluent in programming in Python. +First principles thinking, excellent communication skills in English and a proactive, positive attitude +Excellent problem-solving skills with meticulous attention to detail. +Good knowledge of low field MRI hardware +Preferred: Knowledge of Electronics + + +What We Offer + + +International environment: A diverse and multicultural English-first office with more than 10 different nationalities driven by the same purpose, to revolutionize medical imaging +Competitive Compensation: A total compensation package value of up to 100.000 € per year consisting of 60.000 - 80.000 € salary and stock options +Benefits: Urban Sports Club, BVG and lifestyle vouchers along with company-sponsored lunch in our penthouse office and monthly team events +Personal development: In addition to learning on the job through mentorship and high responsibility from the start, we encourage and support personal development (trainings, certifications etc.). +Work-life balance: Flexible working hours + 30 days of paid leave per year and Parental leaves +Relocation: Support with visa and relocation as well as with finding daycare for your children +Dynamic & Innovative Culture: A creative workplace with flat hierarchies and open communication among a highly skilled collaborative team +Show more ","
+ + + + + +
+
+ About DeepSpin

DeepSpin is a HealthTech startup pursuing the mission to make Magnetic Resonance Imaging universally accessible. Today 7 out of 10 people globally do not have access to this life-saving imaging modality. Through our cutting-edge technology we are going to change that. Backed by globally leading VCs, we are now expanding our world-class team. This is a fantastic opportunity to join a team motivated to bring a life-saving technology to the billions of people that currently cannot afford it.

About The Role

We are seeking a talented MRI Engineer to join our dynamic team. As an MRI Engineer at DeepSpin, you will play a pivotal role in implementing MRI experiments. This role offers the opportunity to work on cutting-edge MRI technology and contribute to innovative research and development projects.

  • Design, implement, and optimise MRI experiments.
  • Develop and maintain Python scripts for data analysis, image processing, and experiment automation.
  • Operate and troubleshoot MRI hardware system.
  • Participate in prototype testing and validation, making necessary design adjustments based on test results.
  • Ensure compliance with industry regulations, safety standards, and quality assurance protocols.

About You

  • MSc/PhD Degree in STEM (Computer Science, Physics, Mathematics, Engineering, etc)
  • 3+ years of experience in leading MRI experiments.
  • Fluent in programming in Python.
  • First principles thinking, excellent communication skills in English and a proactive, positive attitude
  • Excellent problem-solving skills with meticulous attention to detail.
  • Good knowledge of low field MRI hardware
  • Preferred: Knowledge of Electronics

What We Offer

  • International environment: A diverse and multicultural English-first office with more than 10 different nationalities driven by the same purpose, to revolutionize medical imaging
  • Competitive Compensation: A total compensation package value of up to 100.000 € per year consisting of 60.000 - 80.000 € salary and stock options
  • Benefits: Urban Sports Club, BVG and lifestyle vouchers along with company-sponsored lunch in our penthouse office and monthly team events
  • Personal development: In addition to learning on the job through mentorship and high responsibility from the start, we encourage and support personal development (trainings, certifications etc.).
  • Work-life balance: Flexible working hours + 30 days of paid leave per year and Parental leaves
  • Relocation: Support with visa and relocation as well as with finding daycare for your children
  • Dynamic & Innovative Culture: A creative workplace with flat hierarchies and open communication among a highly skilled collaborative team
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3991311683,https://de.linkedin.com/jobs/view/machine-learning-scientist-bio-modelling-all-genders-at-bayer-3991311683?position=8&pageNum=7&refId=%2B3t01ZE40lgIKqdogtwS8w%3D%3D&trackingId=wGPWRbqZkR7w7d9e1v19zw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Scientist Bio Modelling (all genders),Bayer,"Berlin, Berlin, Germany","At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Within Bayer, we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy + +Machine Learning Scientist Bio Modelling (all genders) + +Develop innovative machine learning solutions to analyze biomedical datasets of different modalities with the goal of designing optimized molecules and improving our understanding of targets, diseases and patients. + +Your Tasks And Responsibilities + + +Be an active member of a highly interdisciplinary and cross-organizational team +You will develop and evaluate state-of-the-art machine learning algorithms applied to modelling protein-ligand and protein-protein complexes +You will collaborate with cross-functional teams throughout R&D to ensure innovative algorithmic solutions are operationalized and integrated into our discovery pipelines +You will keep up to date with the latest advances in machine learning technologies +You will engage with the broader scientific community through publications, open-source projects, and conference presentations + + +Who You Are + +We are excited about your talent and passion for this position. Attracting the right talent is important to us. We would be happy to work with you to identify and create the career and development opportunities you are looking for. And if you don't meet all the requirements, we still look forward to receiving your application. We are all constantly learning! + +Required: + + +You have a highly scientific or engineering background, with a PhD degree or equivalent +You have expertise in machine learning research +You have a sincere interest for drug discovery and the life sciences +You have excellent written and verbal communication skills in English + + +Preferred: + + +You have expertise in bioinformatics or structural biology +You are an expert in applying machine learning for characterizing and designing small molecules, DNA/RNA, or proteins +You have expertise in applying, dissecting, and improving upon state-of-the-art machine learning methods. Knowledge of modern generative modelling methods (e.g.,diffusion), protein language models (e.g., ESM), modern structure prediction methods (e.g., AlphaFold), or experience efficiently training and fine-tuning large models are a big plus +You have excellent software engineering skills +You have knowledge of quantum chemistry would be a plus +You have a strong publication record or demonstrated contributions (e.g., open source) for the above + + +What We Offer + +Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us! + + +We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay and our annual bonus. In addition, managers can recognize special contributions by granting an individual performance award or top performance award. +Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you. +Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more. +We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs. +We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor and our health platform #machtfit. +We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work. + + +The position is limited to two years. + +Our target date to fill the position is 01.01.2025 (negotiable). + +Be You. Be Bayer. + +YOUR APPLICATION + +Do you want to work in a place where you can be just YOU? + +Your unique personality, background and talents help build a strong, diverse and inclusive Bayer. + +So join us! Be You, Be Bayer. + +Location: Germany : Berlin : Berlin || Germany : North Rhine Westfalia : Monheim + +Division: Pharmaceuticals + +Referenc Code: 822732 + + +Show more ","
+ + + + + +
+
+ At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Within Bayer, we’re changing the way we work— for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy

Machine Learning Scientist Bio Modelling (all genders)

Develop innovative machine learning solutions to analyze biomedical datasets of different modalities with the goal of designing optimized molecules and improving our understanding of targets, diseases and patients.

Your Tasks And Responsibilities

  • Be an active member of a highly interdisciplinary and cross-organizational team
  • You will develop and evaluate state-of-the-art machine learning algorithms applied to modelling protein-ligand and protein-protein complexes
  • You will collaborate with cross-functional teams throughout R&D to ensure innovative algorithmic solutions are operationalized and integrated into our discovery pipelines
  • You will keep up to date with the latest advances in machine learning technologies
  • You will engage with the broader scientific community through publications, open-source projects, and conference presentations

Who You Are

We are excited about your talent and passion for this position. Attracting the right talent is important to us. We would be happy to work with you to identify and create the career and development opportunities you are looking for. And if you don't meet all the requirements, we still look forward to receiving your application. We are all constantly learning!

Required:

  • You have a highly scientific or engineering background, with a PhD degree or equivalent
  • You have expertise in machine learning research
  • You have a sincere interest for drug discovery and the life sciences
  • You have excellent written and verbal communication skills in English

Preferred:

  • You have expertise in bioinformatics or structural biology
  • You are an expert in applying machine learning for characterizing and designing small molecules, DNA/RNA, or proteins
  • You have expertise in applying, dissecting, and improving upon state-of-the-art machine learning methods. Knowledge of modern generative modelling methods (e.g.,diffusion), protein language models (e.g., ESM), modern structure prediction methods (e.g., AlphaFold), or experience efficiently training and fine-tuning large models are a big plus
  • You have excellent software engineering skills
  • You have knowledge of quantum chemistry would be a plus
  • You have a strong publication record or demonstrated contributions (e.g., open source) for the above

What We Offer

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

  • We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay and our annual bonus. In addition, managers can recognize special contributions by granting an individual performance award or top performance award.
  • Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
  • Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
  • We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
  • We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor and our health platform #machtfit.
  • We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

The position is limited to two years.

Our target date to fill the position is 01.01.2025 (negotiable).

Be You. Be Bayer.

YOUR APPLICATION

Do you want to work in a place where you can be just YOU?

Your unique personality, background and talents help build a strong, diverse and inclusive Bayer.

So join us! Be You, Be Bayer.

Location: Germany : Berlin : Berlin || Germany : North Rhine Westfalia : Monheim

Division: Pharmaceuticals

Referenc Code: 822732

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3984559317,https://de.linkedin.com/jobs/view/senior-software-engineer-m-w-d-at-technology-strategy-3984559317?position=9&pageNum=7&refId=%2B3t01ZE40lgIKqdogtwS8w%3D%3D&trackingId=rz4CLqjShwXuUYd%2BaxGQwg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Software Engineer (M/W/D),Technology & Strategy,"Berlin, Germany","Do you want to know more about us? + + + + +Of course we can tell you the story of our company and our areas of expertise! But in the end,the most important thing is what your future T&S colleagues think about T&S. + + + + +What they like best : + + + + +Flexibility - Of course you get flexible working hours, home-office facilities and 30 days' holiday a year, but there is more to it than that. It is also the benefits that consulting brings. At T&S, whether you are a junior or an experienced consultant, you can move quickly through different projects, develop your skills and accelerate your career. + + + + +Projects - You will work in a stimulating environment. You will be in contact with experts and be at the heart of innovations. You can work in different industries or become an expert in a particular field. You can take advantage of paid training, certifications and language courses (English and German)! + + + + +Atmosphere - You will be with international and multi-cultural teams. Whether it is a Potluck, Karaoke, Karting, Oktoberfest or Summer and Winter parties, we want to have a good time with you. Having fun at work is important! It is a great way to bond and get to know each other better (but of course it is never an obligation!). + + + + +In more formal terms, we are a consulting firm specializing in engineering, IT and digital project management. We are an international company with a Franco-German DNA. Our 3,500 employees are of 45 different nationalities and are spread across 27 offices in 10 countries, including France, Germany, Switzerland, Belgium, the UK, Singapore, Hong Kong, Portugal, Egypt, and the Netherlands. + + + + +Job Description : + +Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently alongside humans? Our team is creating new products and technologies that make this possible, at global scale. + + + + +Our software team is seeking broad, curious engineers to join our diverse, full-stack team. In addition to holistically designing, building, and delivering end-to-end robotic systems, our team is responsible for the core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, and software engineers to collaborate and deploy systems in the lab and in the field. Our work spans real-time software, machine learning engineering, big data, simulation, and more. + + + + +Key job responsibilities + +Architect, design, and implement robotic software applications, infrastructure, and tools. +Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. +Create robust, high-quality, well-tested software to interface with robots, control sensors, actuators, and other hardware. +Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. +Profile, tune, and optimize system performance. +Create re-usable software and systems to accelerate robotics development. +Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement. + + + + +Basic qualifications + +5+ years of professional software development experience with at least one modern language such as Python, C++, Java, or Kotlin including object-oriented design. +3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. +Bachelor’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent. +Proficiency with professional software engineering practices & standard practices for the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. +Experience in software design and architecture. Excellent interpersonal and written communication skills. + + + + +Preferred qualifications + +Experience with AWS (S3, Lambda, SQS). +Master’s or advanced degree in Computer Science/Engineering, Statistics, Mathematics, or equivalent. +8+ years of industry software development experience, with background in design patterns, data structures, and test-driven development. +Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, and simulation. +Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design. +Experience supporting large-scale infrastructure and tool development for scientific/engineering users. +Solid fundamentals in operating systems, embedded systems, or systems programming. Demonstrable experience in building, programming and integrating software and hardware for robotic systems. Independent and ability to work with minimal direction. +Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation + + + + +Our positions are open to recognized as disabled workers. + +T&S Group promotes diversity and equality in the workplace. + +All qualified M/F/O candidates are considered for employment on an equal basis. + +Show more ","
+ + + + + +
+
+

Do you want to know more about us?


Of course we can tell you the story of our company and our areas of expertise! But in the end,the most important thing is what your future T&S colleagues think about T&S.


What they like best :


Flexibility - Of course you get flexible working hours, home-office facilities and 30 days' holiday a year, but there is more to it than that. It is also the benefits that consulting brings. At T&S, whether you are a junior or an experienced consultant, you can move quickly through different projects, develop your skills and accelerate your career.


Projects - You will work in a stimulating environment. You will be in contact with experts and be at the heart of innovations. You can work in different industries or become an expert in a particular field. You can take advantage of paid training, certifications and language courses (English and German)!


Atmosphere - You will be with international and multi-cultural teams. Whether it is a Potluck, Karaoke, Karting, Oktoberfest or Summer and Winter parties, we want to have a good time with you. Having fun at work is important! It is a great way to bond and get to know each other better (but of course it is never an obligation!).


In more formal terms, we are a consulting firm specializing in engineering, IT and digital project management. We are an international company with a Franco-German DNA. Our 3,500 employees are of 45 different nationalities and are spread across 27 offices in 10 countries, including France, Germany, Switzerland, Belgium, the UK, Singapore, Hong Kong, Portugal, Egypt, and the Netherlands.


Job Description :

Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently alongside humans? Our team is creating new products and technologies that make this possible, at global scale.


Our software team is seeking broad, curious engineers to join our diverse, full-stack team. In addition to holistically designing, building, and delivering end-to-end robotic systems, our team is responsible for the core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, and software engineers to collaborate and deploy systems in the lab and in the field. Our work spans real-time software, machine learning engineering, big data, simulation, and more.


Key job responsibilities

  • Architect, design, and implement robotic software applications, infrastructure, and tools.
  • Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.
  • Create robust, high-quality, well-tested software to interface with robots, control sensors, actuators, and other hardware.
  • Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models.
  • Profile, tune, and optimize system performance.
  • Create re-usable software and systems to accelerate robotics development.
  • Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.


Basic qualifications

  • 5+ years of professional software development experience with at least one modern language such as Python, C++, Java, or Kotlin including object-oriented design.
  • 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
  • Bachelor’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalent.
  • Proficiency with professional software engineering practices & standard practices for the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience in software design and architecture. Excellent interpersonal and written communication skills.


Preferred qualifications

  • Experience with AWS (S3, Lambda, SQS).
  • Master’s or advanced degree in Computer Science/Engineering, Statistics, Mathematics, or equivalent.
  • 8+ years of industry software development experience, with background in design patterns, data structures, and test-driven development.
  • Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, and simulation.
  • Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design.
  • Experience supporting large-scale infrastructure and tool development for scientific/engineering users.
  • Solid fundamentals in operating systems, embedded systems, or systems programming. Demonstrable experience in building, programming and integrating software and hardware for robotic systems. Independent and ability to work with minimal direction.
  • Demonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementation


Our positions are open to recognized as disabled workers.

T&S Group promotes diversity and equality in the workplace.

All qualified M/F/O candidates are considered for employment on an equal basis.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3991633258,https://de.linkedin.com/jobs/view/python-software-engineer-at-conexus-3991633258?position=10&pageNum=7&refId=%2B3t01ZE40lgIKqdogtwS8w%3D%3D&trackingId=zyUuCs4wbJ9OlPOqwtV2fA%3D%3D&trk=public_jobs_jserp-result_search-card,Python Software Engineer,Conexus,"Berlin, Germany","Conexus are currently searching for a Freelance Python Software Developer to join our global utilities client on a long-term project in Berlin. + + + + +This position requires onsite presence 50% of the time, so we are searching for candidates that are based in the Berlin area. + + + + +We are searching for the following experience: + +Minimum of five years experience in development simple and scalable software solutions +Extensive experience with Python and supporting frameworks, Django, Flask, or Pydantic +Strong backgroung with Microservices and distributed architectures +Experienced in CI/CD systems such as Jenkins, Travis, or Azure DevOps +Previous experience in Golang is beneficial +Strong experience with TDD or DDD +Excellent communication skills in English. + + + + +If you are an experience Software Engineer looking for your next Python project, please respond with your updated CV in English for your consideration. + +Show more ","
+ + + + + +
+
+

Conexus are currently searching for a Freelance Python Software Developer to join our global utilities client on a long-term project in Berlin.


This position requires onsite presence 50% of the time, so we are searching for candidates that are based in the Berlin area.


We are searching for the following experience:

  • Minimum of five years experience in development simple and scalable software solutions
  • Extensive experience with Python and supporting frameworks, Django, Flask, or Pydantic
  • Strong backgroung with Microservices and distributed architectures
  • Experienced in CI/CD systems such as Jenkins, Travis, or Azure DevOps
  • Previous experience in Golang is beneficial
  • Strong experience with TDD or DDD
  • Excellent communication skills in English.


If you are an experience Software Engineer looking for your next Python project, please respond with your updated CV in English for your consideration.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3990676997,https://de.linkedin.com/jobs/view/frontend-react-developer-m-w-d-at-smartbroker-ag-3990676997?position=3&pageNum=10&refId=GilDUny6rQ2cGSu%2BjINPug%3D%3D&trackingId=8AvyQA7IK8AP7UozAy8y0A%3D%3D&trk=public_jobs_jserp-result_search-card,Frontend React Developer (m/w/d),Smartbroker AG,"Berlin, Berlin, Germany","Deine Mission + +Zur Verstärkung unseres Teams suchen wir einen erfahrenen Frontend-Entwickler. Deine Aufgabe ist es, unsere Websites und Web-Apps zu implementieren und deren Qualität mit deinem Sinn für Design und Liebe zum Detail kontinuierlich zu verbessern. Die Beherrschung von HTML, CSS, Javascript und gute Kenntnisse von React.js, Tailwind CSS, Webpack und Git werden erwartet. Erfahrung in reaktiver Programmierung mit Rx.js ist ein Plus. Deine Fähigkeit, selbstständig zu arbeiten, Teamgeist zu zeigen und in einem dynamischen Umfeld auf dem Laufenden zu bleiben, ist entscheidend. + +Dein Profil + + +Technische Kenntnisse: Kenntnisse in HTML, CSS, Vanilla-Javascript, React.js, Tailwind CSS, Webpack, Git, und Vertrautheit mit Rx.js. +Erfahrung: Umfassende Erfahrung in der Entwicklung von Webanwendungen mit React.js; Erfahrungen mit Next.js, Strapi CMS, Node.js, Storybook, Cypress, REST- oder GraphQL-APIs, Docker, SEO- und Website-Optimierungen und CI/CD mit GitLab sind ein Bonus. +Arbeitsumgebung: Du fühlst dich in einer agilen Umgebung wohl, kannst selbstständig arbeiten und hast einen aktuellen Kenntnisstand. + + +Über uns + +Die Smartbroker-Gruppe betreibt unter anderem den Smartbroker+ – einen mehrfach ausgezeichneten Online-Broker, der als einziger Anbieter in Deutschland das umfangreiche Produktspektrum der klassischen Broker mit den äußerst günstigen Konditionen der Neobroker verbindet. Zum Portfolio gehört außerdem der digitale Fondsvermittler SMARTBROKER Finance (vormals: FondsDISCOUNT.de), gleichzeitig betreibt die Gruppe vier reichweitenstarke Börsenportale (wallstreet-online.de, boersenNews.de, FinanzNachrichten.de und ARIVA.de). Mit mehreren Hundert Millionen monatlichen Seitenaufrufen ist die Gruppe der größte verlagsunabhängige Finanzportalbetreiber im deutschsprachigen Raum und unterhält außerdem die größte Finanz-Community. + +Das Unternehmen gehört zu den Pionieren des digitalen Investments. Seit mehr als 25 Jahren setzen wir uns dafür ein, die Hürden bei der Geldanlage abzubauen und eine nutzerfreundliche und preisgünstige Abwicklung von Investments zu ermöglichen. + +Der Schlüssel zu diesem Erfolg sind unsere Mitarbeiter:innen. Aufgrund der starken Wachstumsdynamik haben wir in den vergangenen Jahren zahlreiche attraktive Arbeitsplätze geschaffen. Jeden Tag streben wir danach, das beste Team aufzubauen und unseren Mitarbeiter:innen den Raum zu geben, sich selbst bestmöglich zu entwickeln. Ein vielfältiges Team aus Leistungsträgern sorgt dafür, dass wir alle jeden Tag dazulernen. Aus einem kleinen Team mit ca. 20 Personen sind wir inzwischen ein Unternehmen mit rund 260 Mitarbeiter:innen (Stand 31.12.2023) geworden, das in einem modernen Büro in Berlin-Kreuzberg sitzt. + +Wir verstehen uns als innovatives Fintech, das in eine erfolgreiche Unternehmensgruppe eingebettet ist und damit persönliche Arbeitsatmosphäre mit den Vorteilen einer finanzstarken Aktiengesellschaft verbindet. In allen Unternehmensteilen setzen wir auf flache Hierarchien, individuelle Entwicklung und agile Prozesse. Wir sind stolz auf den persönlichen Zusammenhalt im Team und die überdurchschnittlich lange Betriebszugehörigkeit vieler Angestellter. Wir setzen uns für Vielfalt und Chancengleichheit ein. Wir streben danach, ein Team aufzubauen, das eine Vielzahl von Hintergründen, Perspektiven und Fähigkeiten repräsentiert. Je integrativer wir sind, desto besser wird unsere Arbeit und unser Team sein. + +Wenn auch du Teil dieses schnell wachsenden Unternehmens werden möchtest, dann bewirb dich jetzt bei der Smartbroker Gruppe. + +Wir ermutigen Frauen, nicht-binäre und Transgender-Personen sowie alle Mitglieder der LGBTQI+-Community, Menschen mit marginalisiertem ethnischen Hintergrund und Menschen mit sichtbaren oder nicht sichtbaren Behinderungen, sich zu bewerben, wenn sie ein integratives, vielfältiges und sicheres Arbeitsumfeld suchen. +Show more ","
+ + + + + +
+
+ Deine Mission

Zur Verstärkung unseres Teams suchen wir einen erfahrenen Frontend-Entwickler. Deine Aufgabe ist es, unsere Websites und Web-Apps zu implementieren und deren Qualität mit deinem Sinn für Design und Liebe zum Detail kontinuierlich zu verbessern. Die Beherrschung von HTML, CSS, Javascript und gute Kenntnisse von React.js, Tailwind CSS, Webpack und Git werden erwartet. Erfahrung in reaktiver Programmierung mit Rx.js ist ein Plus. Deine Fähigkeit, selbstständig zu arbeiten, Teamgeist zu zeigen und in einem dynamischen Umfeld auf dem Laufenden zu bleiben, ist entscheidend.

Dein Profil

  • Technische Kenntnisse: Kenntnisse in HTML, CSS, Vanilla-Javascript, React.js, Tailwind CSS, Webpack, Git, und Vertrautheit mit Rx.js.
  • Erfahrung: Umfassende Erfahrung in der Entwicklung von Webanwendungen mit React.js; Erfahrungen mit Next.js, Strapi CMS, Node.js, Storybook, Cypress, REST- oder GraphQL-APIs, Docker, SEO- und Website-Optimierungen und CI/CD mit GitLab sind ein Bonus.
  • Arbeitsumgebung: Du fühlst dich in einer agilen Umgebung wohl, kannst selbstständig arbeiten und hast einen aktuellen Kenntnisstand.

Über uns

Die Smartbroker-Gruppe betreibt unter anderem den Smartbroker+ – einen mehrfach ausgezeichneten Online-Broker, der als einziger Anbieter in Deutschland das umfangreiche Produktspektrum der klassischen Broker mit den äußerst günstigen Konditionen der Neobroker verbindet. Zum Portfolio gehört außerdem der digitale Fondsvermittler SMARTBROKER Finance (vormals: FondsDISCOUNT.de), gleichzeitig betreibt die Gruppe vier reichweitenstarke Börsenportale (wallstreet-online.de, boersenNews.de, FinanzNachrichten.de und ARIVA.de). Mit mehreren Hundert Millionen monatlichen Seitenaufrufen ist die Gruppe der größte verlagsunabhängige Finanzportalbetreiber im deutschsprachigen Raum und unterhält außerdem die größte Finanz-Community.

Das Unternehmen gehört zu den Pionieren des digitalen Investments. Seit mehr als 25 Jahren setzen wir uns dafür ein, die Hürden bei der Geldanlage abzubauen und eine nutzerfreundliche und preisgünstige Abwicklung von Investments zu ermöglichen.

Der Schlüssel zu diesem Erfolg sind unsere Mitarbeiter:innen. Aufgrund der starken Wachstumsdynamik haben wir in den vergangenen Jahren zahlreiche attraktive Arbeitsplätze geschaffen. Jeden Tag streben wir danach, das beste Team aufzubauen und unseren Mitarbeiter:innen den Raum zu geben, sich selbst bestmöglich zu entwickeln. Ein vielfältiges Team aus Leistungsträgern sorgt dafür, dass wir alle jeden Tag dazulernen. Aus einem kleinen Team mit ca. 20 Personen sind wir inzwischen ein Unternehmen mit rund 260 Mitarbeiter:innen (Stand 31.12.2023) geworden, das in einem modernen Büro in Berlin-Kreuzberg sitzt.

Wir verstehen uns als innovatives Fintech, das in eine erfolgreiche Unternehmensgruppe eingebettet ist und damit persönliche Arbeitsatmosphäre mit den Vorteilen einer finanzstarken Aktiengesellschaft verbindet. In allen Unternehmensteilen setzen wir auf flache Hierarchien, individuelle Entwicklung und agile Prozesse. Wir sind stolz auf den persönlichen Zusammenhalt im Team und die überdurchschnittlich lange Betriebszugehörigkeit vieler Angestellter. Wir setzen uns für Vielfalt und Chancengleichheit ein. Wir streben danach, ein Team aufzubauen, das eine Vielzahl von Hintergründen, Perspektiven und Fähigkeiten repräsentiert. Je integrativer wir sind, desto besser wird unsere Arbeit und unser Team sein.

Wenn auch du Teil dieses schnell wachsenden Unternehmens werden möchtest, dann bewirb dich jetzt bei der Smartbroker Gruppe.

Wir ermutigen Frauen, nicht-binäre und Transgender-Personen sowie alle Mitglieder der LGBTQI+-Community, Menschen mit marginalisiertem ethnischen Hintergrund und Menschen mit sichtbaren oder nicht sichtbaren Behinderungen, sich zu bewerben, wenn sie ein integratives, vielfältiges und sicheres Arbeitsumfeld suchen. +
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",2024-08-02,[] +3733749010,https://de.linkedin.com/jobs/view/data-scientist-insurance-all-genders-at-adesso-se-3733749010?position=5&pageNum=10&refId=GilDUny6rQ2cGSu%2BjINPug%3D%3D&trackingId=zAA%2Fcx6V%2Fp4GTnn1%2FNPC6g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Insurance (all genders),adesso SE,"Berlin, Berlin, Germany","Wir gehören zu den Top-Adressen in der IT-Welt und fokussieren uns auf die Optimierung der Kerngeschäfts­prozesse unserer Kunden. Durch den smarten Einsatz maßgeschneiderter IT-Lösungen unterstützen wir unsere Kunden dabei, das Beste aus ihrem Business und aktuellen Technologien herauszuholen. Unseren Erfolg aber erreichen wir nur durch eins: die Menschen bei adesso! Sie bringen Ideen, fachliches Know how und Technologien zusammen. Gemeinsam programmieren wir (deine) Zukunft bei adesso. + +Standorte + +Berlin, Köln, Hamburg, Stuttgart, Dortmund, Frankfurt, München + +DEINE ROLLE - DAS WARTET AUF DICH + +Du hast Spaß an Machine Learning-Projekten und bereits vielseitige Erfahrungen im Umfeld von Versicherungen sammeln können? + +Außerdem automatisierst du gerne Dinge, vor allem ML-Pipelines, Deployments und auch alles andere, was sich automatisieren lässt? + +Dann bist du bei adesso genau richtig! + +Baue gemeinsam mit uns das Team Data Driven Insurance zu einem Competence Center aus. Dabei sind wir in Richtung Versicherungsmarkt die technische Speerspitze für datengetriebene Lösungen und Consultingleistungen. + +In deiner Rolle als Data Scientist konzipierst und entwickelst du als Teil unseres Teams „Data Driven Insurance“ innovative Lösungen, mit denen wir für unsere Versicherungskunden kontinuierlich Geschäftsnutzen aus deren Daten generieren. + +Im Detail übernimmst du dabei folgende Aufgaben: + + +Du konzipierst und implementierst innovative AI-Lösungen für Versicherungen mit starkem Fokus auf Cloud-Infrastrukturen. +Du unterstützt uns bei der Optimierung und Automatisierung bestehender AI-Lösungen und sorgst damit für eine kontinuierliche Verbesserung der AI-Produkte unserer Versicherungskunden. +Du automatisierst Trainings- und Release-Prozesse von ML-Modellen und berätst unsere Kunden bei der Auswahl und Implementierung moderner AI-Plattformen und -Frameworks. +Du unterstützt uns und unsere Kunden bei der Identifizierung und Umsetzung von innovativen AI Use cases sowie bei der Entwicklung von neuen datengetriebenen Geschäftsmodellen. + + +DEINE SKILLS - DAS BRINGST DU MIT + + +Erfolgreich abgeschlossenes Studium in der Fachrichtung Informatik, Wirtschaftsinformatik oder ein vergleichbares Studium mit relevantem Bezug +Mindestens zwei Jahre einschlägige Berufserfahrung mit ausgeprägtem ML-Hintergrund und Erfahrung in der Erstellung, Bereitstellung und Pflege von ML-Modellen in der Produktion +Projekterfahrung bei Versicherungen +Fortgeschrittene Kenntnisse in Python und den gängigen Machine Learning-Bibliotheken sowie Erfahrungen mit MLOps-Tools wie MLflow, KubeFlow o.ä. +Von Vorteil sind Erfahrungen im Umgang mit großen Datenmengen sowie im Einsatz von Infrastructure as Code (Terraform, ARM). +Spaß an der Arbeit in einem agilen Team, ""Out of the box""-Denken und hohes Interesse daran, sich mit neuen Themen auseinanderzusetzen. + + +Unser Versprechen: Du wirst dich bei uns wohlfühlen! Kollegial, familiär und auf Augenhöhe – wir leben Austausch, Teamgeist und einen respektvollen Umgang miteinander. Diversität und verschiedene Blickwinkel werden bei uns genauso geschätzt wie du als Mensch. Das und viel mehr steht für unser ganz besonderes Wir-Gefühl. Für das es sogar ein Wort gibt: adessi. + +Unsere Kultur und das Zusammenarbeiten sind geprägt von gegenseitiger Wertschätzung, Anerkennung und Unterstützung. Das verbindet uns hierarchieübergreifend – auch im Home-Office. So belegen wir zum wiederholten Mal den 1. Platz beim Wettbewerb „Deutschlands Beste Arbeitgeber in der ITK“!. Unser umfangreiches Trainingsangebot und ein transparentes Laufbahnstufenmodell für alle sorgen dafür, dass deine Entwicklung bei uns nicht stillsteht. Denn gemeinsam zu wachsen und Chancengeber zu sein, das ist programmiert in unserer DNA. +Show more ","
+ + + + + +
+
+ Wir gehören zu den Top-Adressen in der IT-Welt und fokussieren uns auf die Optimierung der Kerngeschäfts­prozesse unserer Kunden. Durch den smarten Einsatz maßgeschneiderter IT-Lösungen unterstützen wir unsere Kunden dabei, das Beste aus ihrem Business und aktuellen Technologien herauszuholen. Unseren Erfolg aber erreichen wir nur durch eins: die Menschen bei adesso! Sie bringen Ideen, fachliches Know how und Technologien zusammen. Gemeinsam programmieren wir (deine) Zukunft bei adesso.

Standorte

Berlin, Köln, Hamburg, Stuttgart, Dortmund, Frankfurt, München

DEINE ROLLE - DAS WARTET AUF DICH

Du hast Spaß an Machine Learning-Projekten und bereits vielseitige Erfahrungen im Umfeld von Versicherungen sammeln können?

Außerdem automatisierst du gerne Dinge, vor allem ML-Pipelines, Deployments und auch alles andere, was sich automatisieren lässt?

Dann bist du bei adesso genau richtig!

Baue gemeinsam mit uns das Team Data Driven Insurance zu einem Competence Center aus. Dabei sind wir in Richtung Versicherungsmarkt die technische Speerspitze für datengetriebene Lösungen und Consultingleistungen.

In deiner Rolle als Data Scientist konzipierst und entwickelst du als Teil unseres Teams „Data Driven Insurance“ innovative Lösungen, mit denen wir für unsere Versicherungskunden kontinuierlich Geschäftsnutzen aus deren Daten generieren.

Im Detail übernimmst du dabei folgende Aufgaben:

  • Du konzipierst und implementierst innovative AI-Lösungen für Versicherungen mit starkem Fokus auf Cloud-Infrastrukturen.
  • Du unterstützt uns bei der Optimierung und Automatisierung bestehender AI-Lösungen und sorgst damit für eine kontinuierliche Verbesserung der AI-Produkte unserer Versicherungskunden.
  • Du automatisierst Trainings- und Release-Prozesse von ML-Modellen und berätst unsere Kunden bei der Auswahl und Implementierung moderner AI-Plattformen und -Frameworks.
  • Du unterstützt uns und unsere Kunden bei der Identifizierung und Umsetzung von innovativen AI Use cases sowie bei der Entwicklung von neuen datengetriebenen Geschäftsmodellen.

DEINE SKILLS - DAS BRINGST DU MIT

  • Erfolgreich abgeschlossenes Studium in der Fachrichtung Informatik, Wirtschaftsinformatik oder ein vergleichbares Studium mit relevantem Bezug
  • Mindestens zwei Jahre einschlägige Berufserfahrung mit ausgeprägtem ML-Hintergrund und Erfahrung in der Erstellung, Bereitstellung und Pflege von ML-Modellen in der Produktion
  • Projekterfahrung bei Versicherungen
  • Fortgeschrittene Kenntnisse in Python und den gängigen Machine Learning-Bibliotheken sowie Erfahrungen mit MLOps-Tools wie MLflow, KubeFlow o.ä.
  • Von Vorteil sind Erfahrungen im Umgang mit großen Datenmengen sowie im Einsatz von Infrastructure as Code (Terraform, ARM).
  • Spaß an der Arbeit in einem agilen Team, ""Out of the box""-Denken und hohes Interesse daran, sich mit neuen Themen auseinanderzusetzen.

Unser Versprechen: Du wirst dich bei uns wohlfühlen! Kollegial, familiär und auf Augenhöhe – wir leben Austausch, Teamgeist und einen respektvollen Umgang miteinander. Diversität und verschiedene Blickwinkel werden bei uns genauso geschätzt wie du als Mensch. Das und viel mehr steht für unser ganz besonderes Wir-Gefühl. Für das es sogar ein Wort gibt: adessi.

Unsere Kultur und das Zusammenarbeiten sind geprägt von gegenseitiger Wertschätzung, Anerkennung und Unterstützung. Das verbindet uns hierarchieübergreifend – auch im Home-Office. So belegen wir zum wiederholten Mal den 1. Platz beim Wettbewerb „Deutschlands Beste Arbeitgeber in der ITK“!. Unser umfangreiches Trainingsangebot und ein transparentes Laufbahnstufenmodell für alle sorgen dafür, dass deine Entwicklung bei uns nicht stillsteht. Denn gemeinsam zu wachsen und Chancengeber zu sein, das ist programmiert in unserer DNA. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3988029940,https://de.linkedin.com/jobs/view/data-scientist-pricing-w-m-d-at-kpmg-deutschland-3988029940?position=6&pageNum=10&refId=GilDUny6rQ2cGSu%2BjINPug%3D%3D&trackingId=YhNhk6NHyBAtxWFVnd%2BabA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Pricing (w/m/d),KPMG Deutschland,"Berlin, Berlin, Germany","Begleite KPMG bei den zukünftigen Herausforderungen unserer Kunden und Kundinnen. Begeistere auch Du Dich für die Vielfalt unserer Fragestellungen - und mach gemeinsam mit uns den Unterschied. Unterstütze gemeinsam mit Deinem Team aus dem Bereich Pricing Excellence die Geschäftsbereiche bei allen Fragestellungen rund um Preisstrategien, Angebotserstellung und in Verhandlungssituationen. + +Deine Aufgaben + +Mit Deiner Expertise möchtest Du den Bereich Pricing Excellence unterstützen? Dann kannst Du Dich hier einbringen: + + + +Du entwickelst Strategien und Visionen für eine daten- und profitabilitätsgetriebene Verhandlungsunterstützung. +Du trägst die Verantwortung für die technisch-analytischen Prozesse der Pricing Organisation. +Du verantwortest die Konzeption und Umsetzung von (BI-) Anwendungen für Inhouse Solutions zur Unterstützung des operativen Pricing-Business. +Darüber hinaus baust Du eine ineinandergreifende Pricing-Datenlandschaft aus verschiedensten Datenquellen auf. +Research, Aufbereitung und Datenanalyse von Markt- und Wettbewerbsdaten liegen ebenfalls in Deinem Aufgabenbereich. +Du befindest Dich in einer interdisziplinäre Schnittstellenfunktion zwischen dem operativen und dem strategischen Leadership-Business und Pricing-Team. +Zudem bist Du verantwortlich für das Personalmanagement des Pricing Tech Teams und dessen fachlichen Entwicklung. + + + +Dein Profil + + + +Data Scientist - Pricing (w/m/d) wirst Du bei uns mit einem abgeschlossenen Studium mit wirtschaftlicher Fachrichtung. +Du besitzt hervorragende Kenntnisse in Microsoft Excel, VBA und SQL sowie Datenbankendesign. +Darüber hinaus hast Du sehr gute Kenntnisse in Microsoft Power, insbesondere mit Power Apps, Power BI und Power Automate. Erste Erfahrungen mit generativer KI sind von Vorteil. +Du besitzt eine hohe technische Affinität mit ausgeprägter Innovationskraft. +Idealerweise bringst Du Erfahrung im Sales / Procurement / Pricing Umfeld mit. +Eine Hands-On-Mentalität und Umsetzungsstärke zeichnen Dich aus. +Erfahrungen in der Führung von Kleinteams und Projekten sind von Vorteil. + + + +Deine Benefits + + + +Willkommen im Team Damit Du von Beginn an voll bei uns durchstarten kannst, begleiten wir Dich mit strukturierten Onboarding-Maßnahmen während der gesamten Orientierungsphase. Zudem fördert Deine Führungskraft gezielt Deine fachliche und persönliche Integration ins Team. +Vielfältige Karriereperspektiven Wir legen Wert auf die individuelle Entwicklung Deiner fachlichen und persönlichen Stärken: Deine eigenen Ambitionen reflektieren wir in strukturierten Entwicklungsgesprächen. Systematische und regelmäßige Feedback-Gespräche unterstützen Dich beim Erreichen dieser Ziele. Ab dem Level Manager und Managerin kannst Du auch Personal- und Führungsverantwortung übernehmen. Deine Führungskompetenz fördern wir mit individuellem Coaching und spezifischen Führungstrainings. Als Teil des weltweiten KPMG-.Netzwerks bieten wir Dir zahlreiche Karrieremöglichkeiten im In- und Ausland und somit wertvolle Einblicke in die Vielfalt unserer Tätigkeitsbereiche. +Vereinbarkeit von Beruf und Privatleben Wir sind überzeugt, dass es vor allem Vielfalt und Flexibilität braucht, um Innovationen zu fördern und langfristige Erfolge zu sichern. Nur so können wir die besten Ideen entwickeln und wirklich innovative Lösungen finden. Mit flexiblen Arbeitszeiten, Homeoffice-Option, Zeitkonten und Auszeiten schaffen wir Räume, um Privat- und Berufsleben miteinander zu vereinbaren. Darüber hinaus unterstützen wir Dich monatlich mit bis zu vier Stunden Freistellung für Dein soziales Engagement. +Fort- & Weiterbildung Durch regelmäßige Trainings, Workshops und Weiterbildungen entwickelst Du Deine Fähigkeiten stetig weiter. Zudem fördern wir Berufsexamina sowie berufsbegleitende Master-Studiengänge. Mit unseren Rotationsprogrammen ermöglichen wir Deinen fachübergreifenden Einsatz. Diese Einblicke in die vielfältigen Aufgabenfelder bei KPMG erweitern Deinen Horizont und fördern Synergien in der Zusammenarbeit. +Die abgebildeten Leistungen können je nach Position und Standort leicht variieren. +Show more ","
+ + + + + +
+
+ Begleite KPMG bei den zukünftigen Herausforderungen unserer Kunden und Kundinnen. Begeistere auch Du Dich für die Vielfalt unserer Fragestellungen - und mach gemeinsam mit uns den Unterschied. Unterstütze gemeinsam mit Deinem Team aus dem Bereich Pricing Excellence die Geschäftsbereiche bei allen Fragestellungen rund um Preisstrategien, Angebotserstellung und in Verhandlungssituationen.

Deine Aufgaben

Mit Deiner Expertise möchtest Du den Bereich Pricing Excellence unterstützen? Dann kannst Du Dich hier einbringen:


  • Du entwickelst Strategien und Visionen für eine daten- und profitabilitätsgetriebene Verhandlungsunterstützung.
  • Du trägst die Verantwortung für die technisch-analytischen Prozesse der Pricing Organisation.
  • Du verantwortest die Konzeption und Umsetzung von (BI-) Anwendungen für Inhouse Solutions zur Unterstützung des operativen Pricing-Business.
  • Darüber hinaus baust Du eine ineinandergreifende Pricing-Datenlandschaft aus verschiedensten Datenquellen auf.
  • Research, Aufbereitung und Datenanalyse von Markt- und Wettbewerbsdaten liegen ebenfalls in Deinem Aufgabenbereich.
  • Du befindest Dich in einer interdisziplinäre Schnittstellenfunktion zwischen dem operativen und dem strategischen Leadership-Business und Pricing-Team.
  • Zudem bist Du verantwortlich für das Personalmanagement des Pricing Tech Teams und dessen fachlichen Entwicklung.


Dein Profil


  • Data Scientist - Pricing (w/m/d) wirst Du bei uns mit einem abgeschlossenen Studium mit wirtschaftlicher Fachrichtung.
  • Du besitzt hervorragende Kenntnisse in Microsoft Excel, VBA und SQL sowie Datenbankendesign.
  • Darüber hinaus hast Du sehr gute Kenntnisse in Microsoft Power, insbesondere mit Power Apps, Power BI und Power Automate. Erste Erfahrungen mit generativer KI sind von Vorteil.
  • Du besitzt eine hohe technische Affinität mit ausgeprägter Innovationskraft.
  • Idealerweise bringst Du Erfahrung im Sales / Procurement / Pricing Umfeld mit.
  • Eine Hands-On-Mentalität und Umsetzungsstärke zeichnen Dich aus.
  • Erfahrungen in der Führung von Kleinteams und Projekten sind von Vorteil.


Deine Benefits


  • Willkommen im Team Damit Du von Beginn an voll bei uns durchstarten kannst, begleiten wir Dich mit strukturierten Onboarding-Maßnahmen während der gesamten Orientierungsphase. Zudem fördert Deine Führungskraft gezielt Deine fachliche und persönliche Integration ins Team.
  • Vielfältige Karriereperspektiven Wir legen Wert auf die individuelle Entwicklung Deiner fachlichen und persönlichen Stärken: Deine eigenen Ambitionen reflektieren wir in strukturierten Entwicklungsgesprächen. Systematische und regelmäßige Feedback-Gespräche unterstützen Dich beim Erreichen dieser Ziele. Ab dem Level Manager und Managerin kannst Du auch Personal- und Führungsverantwortung übernehmen. Deine Führungskompetenz fördern wir mit individuellem Coaching und spezifischen Führungstrainings. Als Teil des weltweiten KPMG-.Netzwerks bieten wir Dir zahlreiche Karrieremöglichkeiten im In- und Ausland und somit wertvolle Einblicke in die Vielfalt unserer Tätigkeitsbereiche.
  • Vereinbarkeit von Beruf und Privatleben Wir sind überzeugt, dass es vor allem Vielfalt und Flexibilität braucht, um Innovationen zu fördern und langfristige Erfolge zu sichern. Nur so können wir die besten Ideen entwickeln und wirklich innovative Lösungen finden. Mit flexiblen Arbeitszeiten, Homeoffice-Option, Zeitkonten und Auszeiten schaffen wir Räume, um Privat- und Berufsleben miteinander zu vereinbaren. Darüber hinaus unterstützen wir Dich monatlich mit bis zu vier Stunden Freistellung für Dein soziales Engagement.
  • Fort- & Weiterbildung Durch regelmäßige Trainings, Workshops und Weiterbildungen entwickelst Du Deine Fähigkeiten stetig weiter. Zudem fördern wir Berufsexamina sowie berufsbegleitende Master-Studiengänge. Mit unseren Rotationsprogrammen ermöglichen wir Deinen fachübergreifenden Einsatz. Diese Einblicke in die vielfältigen Aufgabenfelder bei KPMG erweitern Deinen Horizont und fördern Synergien in der Zusammenarbeit.
  • Die abgebildeten Leistungen können je nach Position und Standort leicht variieren.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3988038145,https://de.linkedin.com/jobs/view/staff-data-scientist-ad-tech-all-genders-at-delivery-hero-3988038145?position=7&pageNum=10&refId=GilDUny6rQ2cGSu%2BjINPug%3D%3D&trackingId=s5HQ%2FvrTQdH9kZZqtvBmxw%3D%3D&trk=public_jobs_jserp-result_search-card,Staff Data Scientist - Ad Tech (all genders),Delivery Hero,"Berlin, Berlin, Germany","About The Opportunity + +Be our next Hero! - Join the world’s leading local delivery platform. + +We are looking for Staff Data Scientists (all genders) to join the Ad Tech data science team in our mission to deliver consistently amazing experiences. + +You will be a thought leader, driving innovation by designing and deploying our models to the forefront of technology to solve complex problems, delivering revenue for Delivery Hero at the frontline of our growth & profitability journey. + +At Delivery Hero, AdTech introduces people to new food they love and enables our partners to meet their future customers at the perfect moment. We have developed a range of products to offer advertising solutions for restaurants helping them to increase their visibility and reach, improve their order conversion, and eventually drive more sales by covering the entire marketing funnel. Operating across over 50 countries around the clock, our Ad Tech connects the ideal advertiser with the ideal customer millions of times every day. In 2024/25, Ad Tech is a fundamental area for us on our path to profitability and is predicted to generate more than 1 billion euros in revenue for Delivery Hero; our data science team is at the heart of this growth, powering personalisation, relevance, and recommendation. + +The Ad Tech data science team operates within the wider Vendor Data tribe whose mission is to drive innovation, insight-driven decision making and to solve business problems through a culture of excellence and openness. The tribe comprises teams of skilled analysts, engineers, and scientists working together to deliver data solutions covering a host of business opportunities across all of Delivery Hero’s 70+ markets. + +If you're a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin! + +Your mission: + + +Spearhead a revolution of Ad Tech at Delivery Hero through the innovative application of cutting edge tools and techniques such as neural networks and reinforcement learning covering areas such as ad ranking, bidding strategies, and ad pacing driving unparalleled improvements in advertising campaigns. +Analyse large-scale datasets to understand and identify opportunities deploying sophisticated statistical techniques to improve ad relevance, click-through rates, and conversion metrics. +Lead research initiatives to explore emerging trends and technologies in AdTech and machine learning, contributing to the advancement of Delivery Hero's advertising products and algorithms. Remain at the forefront of industry and research developments incorporating new methodologies and best practices into our data science workflows and models. +Serve as a subject matter expert in data science and machine learning, providing guidance and mentorship to other team members and fostering a culture of continuous learning and innovation within the data science team. + + +What you need to be successful + + +You are an industry-leading talent at modelling business problems using machine learning techniques covering feature engineering, model selection and design as well as evaluation and optimisation to deliver enormous value to the business. +You raise the performance of other team members through effective and mature mentorship and constructive collaboration to benefit others from your deep understanding and experience of data science. +You have extensive expertise in building and training complex neural network models with strong knowledge of the Python data toolkit centering around deep learning i.e. Keras and ideally Tensorflow and TFX +Through the seamless use of SQL queries you are able to explore our data universe and gather data to support your analysis and the development of machine learning solutions. +You write clean, production-level code and are able to effectively set up your environment to minimise testing loops influencing the entire team to work more efficiently and reliably. +You are familiar with deploying and developing complex neural networks to serve live traffic and experience collaborating with ML engineers in cloud systems, ideally GCP. +You love to learn, are a critical thinker and creative problem solver who strives for excellence. +You are a team player who loves to collaborate and work with stakeholders from a variety of teams in a diverse environment. + + +Nice to have: + + +Implementing neural networks to specifically solve Ad Tech challenges would be highly desirable. + + +Who we are + +As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero + +What's in it for you + +Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. + + +Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week +We offer 27 days holiday with an extra day on 2nd and 3rd year of service +Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy +Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan +Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support +The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts + + +At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent. + +At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent. +Show more ","
+ + + + + +
+
+ About The Opportunity

Be our next Hero! - Join the world’s leading local delivery platform.

We are looking for Staff Data Scientists (all genders) to join the Ad Tech data science team in our mission to deliver consistently amazing experiences.

You will be a thought leader, driving innovation by designing and deploying our models to the forefront of technology to solve complex problems, delivering revenue for Delivery Hero at the frontline of our growth & profitability journey.

At Delivery Hero, AdTech introduces people to new food they love and enables our partners to meet their future customers at the perfect moment. We have developed a range of products to offer advertising solutions for restaurants helping them to increase their visibility and reach, improve their order conversion, and eventually drive more sales by covering the entire marketing funnel. Operating across over 50 countries around the clock, our Ad Tech connects the ideal advertiser with the ideal customer millions of times every day. In 2024/25, Ad Tech is a fundamental area for us on our path to profitability and is predicted to generate more than 1 billion euros in revenue for Delivery Hero; our data science team is at the heart of this growth, powering personalisation, relevance, and recommendation.

The Ad Tech data science team operates within the wider Vendor Data tribe whose mission is to drive innovation, insight-driven decision making and to solve business problems through a culture of excellence and openness. The tribe comprises teams of skilled analysts, engineers, and scientists working together to deliver data solutions covering a host of business opportunities across all of Delivery Hero’s 70+ markets.

If you're a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Your mission:

  • Spearhead a revolution of Ad Tech at Delivery Hero through the innovative application of cutting edge tools and techniques such as neural networks and reinforcement learning covering areas such as ad ranking, bidding strategies, and ad pacing driving unparalleled improvements in advertising campaigns.
  • Analyse large-scale datasets to understand and identify opportunities deploying sophisticated statistical techniques to improve ad relevance, click-through rates, and conversion metrics.
  • Lead research initiatives to explore emerging trends and technologies in AdTech and machine learning, contributing to the advancement of Delivery Hero's advertising products and algorithms. Remain at the forefront of industry and research developments incorporating new methodologies and best practices into our data science workflows and models.
  • Serve as a subject matter expert in data science and machine learning, providing guidance and mentorship to other team members and fostering a culture of continuous learning and innovation within the data science team.

What you need to be successful

  • You are an industry-leading talent at modelling business problems using machine learning techniques covering feature engineering, model selection and design as well as evaluation and optimisation to deliver enormous value to the business.
  • You raise the performance of other team members through effective and mature mentorship and constructive collaboration to benefit others from your deep understanding and experience of data science.
  • You have extensive expertise in building and training complex neural network models with strong knowledge of the Python data toolkit centering around deep learning i.e. Keras and ideally Tensorflow and TFX
  • Through the seamless use of SQL queries you are able to explore our data universe and gather data to support your analysis and the development of machine learning solutions.
  • You write clean, production-level code and are able to effectively set up your environment to minimise testing loops influencing the entire team to work more efficiently and reliably.
  • You are familiar with deploying and developing complex neural networks to serve live traffic and experience collaborating with ML engineers in cloud systems, ideally GCP.
  • You love to learn, are a critical thinker and creative problem solver who strives for excellence.
  • You are a team player who loves to collaborate and work with stakeholders from a variety of teams in a diverse environment.

Nice to have:

  • Implementing neural networks to specifically solve Ad Tech challenges would be highly desirable.

Who we are

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, we enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero

What's in it for you

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service
  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy
  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
  • Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support
  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts

At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent.

At Delivery Hero, we believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. Just be yourself and we can’t wait to see what value you bring to the role. We're as interested in your character as we are in your talent. +
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",2024-07-30,[] +3994557724,https://uk.linkedin.com/jobs/view/data-scientist-at-cantine-3994557724?position=1&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=Z%2FMR4ClRG8GgfSut3hgThA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Cantine,"Greater London, England, United Kingdom","Direct applications only please, no agencies. + + + + +Cantine / Job Description: Data Scientist  + +Job Type: Full time (36 hours per week) + +Location: UK based (remote working with occasional meetups) + +Start Date: TBD + +Experience Level: Mid- Senior + + + + +About Cantine: + +Cantine helps you to feel and perform better through the music and media you interact with. Emotional Intelligence powered by Music, Science & Psychology to enhance wellbeing, performance and user experience. Cantine Technology is built by world renowned scientists, award winning musicians and leading psychologists from institutions including Harvard, Edinburgh University and University College London (UCL). + + + + +Role Description: + +We are looking to bring in a Data Scientist to our small but growing data team. You will get to work on an exciting and innovative product. The individual will be tasked with data science activities in the end-to-end creation and maintenance of our proprietary algorithms.  + + + + +In this role you will play a key role in the following:  + +Design, build and execute data collection and data manipulation pipelines required to build and operate the Cantine suite of tools. +Perform feature extraction and feature engineering from audio files and other sources required to train and deploy our predictive models. +Apply a range of standard and advanced data science algorithms to train, validate and implement the Cantine model suite. +Perform model monitoring, providing key performance indicators to inform the need for new models or new data. +Support the engineering team in accurate implementation of the models and their downstream use in the Cantine product suite. +Support the wider data science team in providing business-focussed insight. +Perform ad-hoc analysis as required to support commercial initiatives.   + + + + +The individual is expected to: + +Clearly communicate progress, requirements, and report results. +Play a foundational role in building the data culture of Cantine. + + + + +We are looking to work with someone who has: + +2+ years professional experience in a data science discipline in one or more commercial sectors. +Minimum 2.1 degree in a scientific/mathematical discipline (STEM) +Preferably an MSc or other postgraduate degree in a quantitative discipline +Experience in several predictive modeling and machine learning techniques. +An inquisitive mind and is a practical problem solver. +A strong communicator who can easily and quickly understand the needs of different audiences.  +Ability to interact with individuals from a diverse professional background, including music, psychology, engineering and business. + + + + +Bonus points for: + +Experience of applying data science to the fields of music, psychology and emotion. +Experience in image processing and feature extraction. +Affective computing experience which involves creating systems that understand and respond to human emotions. + + + + +Key Skills: + +Deep knowledge of a range of supervised and unsupervised ML methods. +Good understanding of statistical concepts such as sample size calculation, confidence interval estimation and hypothesis testing. +Proficient user of Python. Optional use of R +Experience in data visualization tools, e.g., Tableau, Streamlit or R Shiny +Ability to think through problems creatively and independently +Curiosity to explore new models and ways of interpreting data +Ability to document work, summarize concepts and present progress + + + + +To get in touch and apply for the job email us: contact@thecantineco.com. + +Show more ","
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+

Direct applications only please, no agencies.


Cantine / Job Description: Data Scientist 

Job Type: Full time (36 hours per week)

Location: UK based (remote working with occasional meetups)

Start Date: TBD

Experience Level: Mid- Senior


About Cantine:

Cantine helps you to feel and perform better through the music and media you interact with. Emotional Intelligence powered by Music, Science & Psychology to enhance wellbeing, performance and user experience. Cantine Technology is built by world renowned scientists, award winning musicians and leading psychologists from institutions including Harvard, Edinburgh University and University College London (UCL).


Role Description:

We are looking to bring in a Data Scientist to our small but growing data team. You will get to work on an exciting and innovative product. The individual will be tasked with data science activities in the end-to-end creation and maintenance of our proprietary algorithms. 


In this role you will play a key role in the following: 

  • Design, build and execute data collection and data manipulation pipelines required to build and operate the Cantine suite of tools.
  • Perform feature extraction and feature engineering from audio files and other sources required to train and deploy our predictive models.
  • Apply a range of standard and advanced data science algorithms to train, validate and implement the Cantine model suite.
  • Perform model monitoring, providing key performance indicators to inform the need for new models or new data.
  • Support the engineering team in accurate implementation of the models and their downstream use in the Cantine product suite.
  • Support the wider data science team in providing business-focussed insight.
  • Perform ad-hoc analysis as required to support commercial initiatives.  


The individual is expected to:

  • Clearly communicate progress, requirements, and report results.
  • Play a foundational role in building the data culture of Cantine.


We are looking to work with someone who has:

  • 2+ years professional experience in a data science discipline in one or more commercial sectors.
  • Minimum 2.1 degree in a scientific/mathematical discipline (STEM)
  • Preferably an MSc or other postgraduate degree in a quantitative discipline
  • Experience in several predictive modeling and machine learning techniques.
  • An inquisitive mind and is a practical problem solver.
  • A strong communicator who can easily and quickly understand the needs of different audiences. 
  • Ability to interact with individuals from a diverse professional background, including music, psychology, engineering and business.


Bonus points for:

  • Experience of applying data science to the fields of music, psychology and emotion.
  • Experience in image processing and feature extraction.
  • Affective computing experience which involves creating systems that understand and respond to human emotions.


Key Skills:

  • Deep knowledge of a range of supervised and unsupervised ML methods.
  • Good understanding of statistical concepts such as sample size calculation, confidence interval estimation and hypothesis testing.
  • Proficient user of Python. Optional use of R
  • Experience in data visualization tools, e.g., Tableau, Streamlit or R Shiny
  • Ability to think through problems creatively and independently
  • Curiosity to explore new models and ways of interpreting data
  • Ability to document work, summarize concepts and present progress


To get in touch and apply for the job email us: contact@thecantineco.com.

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",2024-08-06,[] +3975868769,https://uk.linkedin.com/jobs/view/frontend-developer-at-numi-3975868769?position=2&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=7Tuin7%2FM7LtYrX8HNcgitQ%3D%3D&trk=public_jobs_jserp-result_search-card,Frontend Developer,numi,"London Area, United Kingdom","2x Frontend Developer - Up to £60,000 - 2+years experience (React, Typescript) - Over £10 million in seed feeding closed 🚀 + + + + +About the team + +Join a pioneering firm that is revolutionising how institutional investors access residential real estate using cutting-edge AI and expert insights. After securing a round of seed funding round from top investors, they are on a fast track to massive growth and looking for talented Frontend Developers to join their journey + + + + +Key Responsibilities: + +Develop and maintain high-quality web applications using React and TypeScript. +Build and optimize components with Next.js and Material-UI. +Collaborate with backend developers to integrate APIs. +Implement state management and data fetching strategies. + + + + +Qualifications: + +Proven 2 years+ experience as a Frontend Developer. +Proficiency in React and TypeScript. +Experience with Next.js and Material-UI. +Familiarity with tRPC and React Query is a plus. +Knowledge of AWS services and cloud deployment. + + + + +Why Join Them: + +Be part of a high-growth company at the forefront of real estate technology innovation. +Work alongside a talented and dedicated team in a collaborative environment. +Competitive salary and benefits package. +Opportunity to make a significant impact on the real estate investment landscape. + +Show more ","
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+

2x Frontend Developer - Up to £60,000 - 2+years experience (React, Typescript) - Over £10 million in seed feeding closed 🚀


About the team

Join a pioneering firm that is revolutionising how institutional investors access residential real estate using cutting-edge AI and expert insights. After securing a round of seed funding round from top investors, they are on a fast track to massive growth and looking for talented Frontend Developers to join their journey


Key Responsibilities:

  • Develop and maintain high-quality web applications using React and TypeScript.
  • Build and optimize components with Next.js and Material-UI.
  • Collaborate with backend developers to integrate APIs.
  • Implement state management and data fetching strategies.


Qualifications:

  • Proven 2 years+ experience as a Frontend Developer.
  • Proficiency in React and TypeScript.
  • Experience with Next.js and Material-UI.
  • Familiarity with tRPC and React Query is a plus.
  • Knowledge of AWS services and cloud deployment.


Why Join Them:

  • Be part of a high-growth company at the forefront of real estate technology innovation.
  • Work alongside a talented and dedicated team in a collaborative environment.
  • Competitive salary and benefits package.
  • Opportunity to make a significant impact on the real estate investment landscape.

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",2024-07-16,[] +3988588684,https://uk.linkedin.com/jobs/view/junior-data-scientist-at-harrods-3988588684?position=3&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=zVfSU6yywe1FcwDQajZv2Q%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Scientist,Harrods,"London Area, United Kingdom","We are looking for a Junior Data Scientist to join our Data Science team here at Harrods. You will be a part of our digital transformation, at a time where we are investing heavily in both our technology and our people + + + + +About The Role + + + + +The data science team works across the business, and the successful candidate is likely to work with stakeholders from Loyalty & CRM, Buying & Merchandising, Food Production, IT, and more. This will sometimes involve presenting to Heads of and senior department members. + + + + +In the role you will; + +Work with data engineering to acquire the initial data to perform the work +Collect, clean, and prepare data for modelling +Perform machine learning, predictive modelling, and hyperparameter tuning +Resolve accrued technical debt, when prioritised +Adhere to the processes and ways-of-working of the data science team + + + + +About You + + + + +The ideal candidate will have precious experience implementing Data Science solutions and models, with practical experience of at least one domain of data science modelling. We are looking for someone who has strong analytical insights, and a good grasp of statistics through a STEM background. + + + + +You will have the following; + +Previous experience of development and deployment of predictive models using Python +Familiarity with a cloud platform provider +Comfortable working collaboratively as part of a team +Previous experience dealing with senior stakeholders +Excellent time management skills + + + + +About Us + + + + +Harrods is one of the world’s leading luxury department stores and we’re becoming a destination for top designers, and the most sought-after brands from around the globe. Our combined mission is to make visiting our iconic Knightsbridge store one of the world’s most inspiring shopping experiences. + + + + +Our Promise to You + + + + +Help us make the impossible possible for our customers and we’ll do something remarkable for you. As well as offering a friendly environment to inspire your best work, we provide abundant opportunities and support to build an exceptional career across the varied specialisms of our business. + + + + +In return you’ll receive an excellent benefits package, including a company pension, flexible working, 22 days’ holiday, and your birthday off, up to 33% in-store discount (including across our food hall and restaurants) and a season ticket loan. + + + + +Uniquely You + + + + +At Harrods we believe the personality and authenticity of our people sets us apart. We celebrate and invite applications from all cultures, backgrounds, tastes, and experiences and are proud of our culture where people from all walks of life can grow and thrive. What makes you unique makes us exceptional. + + + + +If you want to know more about our people and our culture, search #TogetherHarrods on LinkedIn, Facebook or follow us on Instagram @togetherharrods + +Show more ","
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+
+

We are looking for a Junior Data Scientist to join our Data Science team here at Harrods. You will be a part of our digital transformation, at a time where we are investing heavily in both our technology and our people


About The Role


The data science team works across the business, and the successful candidate is likely to work with stakeholders from Loyalty & CRM, Buying & Merchandising, Food Production, IT, and more. This will sometimes involve presenting to Heads of and senior department members.


In the role you will;

  • Work with data engineering to acquire the initial data to perform the work
  • Collect, clean, and prepare data for modelling
  • Perform machine learning, predictive modelling, and hyperparameter tuning
  • Resolve accrued technical debt, when prioritised
  • Adhere to the processes and ways-of-working of the data science team


About You


The ideal candidate will have precious experience implementing Data Science solutions and models, with practical experience of at least one domain of data science modelling. We are looking for someone who has strong analytical insights, and a good grasp of statistics through a STEM background.


You will have the following;

  • Previous experience of development and deployment of predictive models using Python
  • Familiarity with a cloud platform provider
  • Comfortable working collaboratively as part of a team
  • Previous experience dealing with senior stakeholders
  • Excellent time management skills


About Us


Harrods is one of the world’s leading luxury department stores and we’re becoming a destination for top designers, and the most sought-after brands from around the globe. Our combined mission is to make visiting our iconic Knightsbridge store one of the world’s most inspiring shopping experiences.


Our Promise to You


Help us make the impossible possible for our customers and we’ll do something remarkable for you. As well as offering a friendly environment to inspire your best work, we provide abundant opportunities and support to build an exceptional career across the varied specialisms of our business.


In return you’ll receive an excellent benefits package, including a company pension, flexible working, 22 days’ holiday, and your birthday off, up to 33% in-store discount (including across our food hall and restaurants) and a season ticket loan.


Uniquely You


At Harrods we believe the personality and authenticity of our people sets us apart. We celebrate and invite applications from all cultures, backgrounds, tastes, and experiences and are proud of our culture where people from all walks of life can grow and thrive. What makes you unique makes us exceptional.


If you want to know more about our people and our culture, search #TogetherHarrods on LinkedIn, Facebook or follow us on Instagram @togetherharrods

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",2024-07-31,[] +3982433882,https://uk.linkedin.com/jobs/view/marketing-science-manager-data-scientist-at-datahead-3982433882?position=5&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=DeuC1RmYGTGpKJX6GUbnuw%3D%3D&trk=public_jobs_jserp-result_search-card,Marketing Science Manager (Data Scientist),DATAHEAD,"London Area, United Kingdom","About the Job + + + + +Marketing Science Manager + +Global Media Agency + +London - Hybrid Working (2 days a week in the office) + +£60,000 - £65,000 + + + + +About Our Client + + + + +Our client is a leading global media agency focusing on data-driven marketing strategies. + + + + +Job Description + +Develop marketing measurement solutions using advanced machine learning techniques. +Write and maintain Python code (PyMC, PyTensor, NumPy, SciPy, StatsModels). +Manage GitHub repositories and cloud computing resources. +Research and implement new methodologies. +Produce and update documentation and training materials. +Collaborate with UK and international teams to implement solutions. + + + + +The Successful Applicant + +Proficiency in Python (Jupyter, NumPy, SciPy, Pandas, Matplotlib, Seaborn). +Strong mathematical knowledge (algebra, calculus, trigonometry). +Understanding of machine learning theory and applications. +Knowledge of parametric statistics and Bayesian inference. +Familiarity with media mix modelling and basic time series modelling. +Strong networking skills and ability to prioritize and multitask. +Passion for technology and startups. + + + + +What's On Offer + +An opportunity to work with a leading global media agency +Collaborative and innovative work environment +Continuous learning and development opportunities + + + + +Contact: Inesh Uttamchandani - inesh@thedatahead.co.uk + +Show more ","
+ + + + + +
+
+

About the Job


Marketing Science Manager

Global Media Agency

London - Hybrid Working (2 days a week in the office)

£60,000 - £65,000


About Our Client


Our client is a leading global media agency focusing on data-driven marketing strategies.


Job Description

  • Develop marketing measurement solutions using advanced machine learning techniques.
  • Write and maintain Python code (PyMC, PyTensor, NumPy, SciPy, StatsModels).
  • Manage GitHub repositories and cloud computing resources.
  • Research and implement new methodologies.
  • Produce and update documentation and training materials.
  • Collaborate with UK and international teams to implement solutions.


The Successful Applicant

  • Proficiency in Python (Jupyter, NumPy, SciPy, Pandas, Matplotlib, Seaborn).
  • Strong mathematical knowledge (algebra, calculus, trigonometry).
  • Understanding of machine learning theory and applications.
  • Knowledge of parametric statistics and Bayesian inference.
  • Familiarity with media mix modelling and basic time series modelling.
  • Strong networking skills and ability to prioritize and multitask.
  • Passion for technology and startups.


What's On Offer

  • An opportunity to work with a leading global media agency
  • Collaborative and innovative work environment
  • Continuous learning and development opportunities


Contact: Inesh Uttamchandani - inesh@thedatahead.co.uk

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",2024-07-24,[] +3976056567,https://uk.linkedin.com/jobs/view/python-developer-at-cititec-talent-3976056567?position=8&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=Q1CtZrnIkWFjP6baWkDncQ%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,Cititec Talent,"London Area, United Kingdom","Python Developer + + + + +Industries: Oil & Gas / Financial Services / Commodities / Trading + +Location: London + +Job Type: Full-Time + +Salary: Up to £110,000 base salary + benefits/bonus + + + + +The Role: + + + + +We’re delighted to have partnered with an industry-leading energy and commodities firm who are looking for a Python Developer to join their growing development team. + + + + +The organisation are able to call upon decades of experience in the physical, financial energy and commodities markets. They provide a wide range of services to a substantial and diversified customer base. + + + + +They are seeking a skilled, data focused Python Developer who can design and develop their innovative AWS-native data analytics platform. + + + + +As a Python Developer, you will be building high-performance, high-throughput data pipelines for trading exchange, FX and fundamental data. + + + + +The ideal candidate should have the majority of the following: + + + + +Bachelor's degree in Computer Science, Engineering, or a related field. +Strong Python development. Experience with Pandas is desirable. +3+ years of experience in data engineering. +Experienced in building ETL data pipelines. +Relational database experience w/ PostgreSQL. +Understanding of tech within our stack: AWS / Apache beam / Kafka. +Experience with Object Orientated Programming +A desire to work in the commodities / trading sector. + + + + +Permanent / Full-Time Employment. + +Hybrid working environment (2 / 3 days' in the office). + + + + +If you’re interested, please apply or contact me directly on LinkedIn. + +Show more ","
+ + + + + +
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+

Python Developer


Industries: Oil & Gas / Financial Services / Commodities / Trading

Location: London

Job Type: Full-Time

Salary: Up to £110,000 base salary + benefits/bonus


The Role:


We’re delighted to have partnered with an industry-leading energy and commodities firm who are looking for a Python Developer to join their growing development team.


The organisation are able to call upon decades of experience in the physical, financial energy and commodities markets. They provide a wide range of services to a substantial and diversified customer base.


They are seeking a skilled, data focused Python Developer who can design and develop their innovative AWS-native data analytics platform.


As a Python Developer, you will be building high-performance, high-throughput data pipelines for trading exchange, FX and fundamental data.


The ideal candidate should have the majority of the following:


  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong Python development. Experience with Pandas is desirable.
  • 3+ years of experience in data engineering.
  • Experienced in building ETL data pipelines.
  • Relational database experience w/ PostgreSQL.
  • Understanding of tech within our stack: AWS / Apache beam / Kafka.
  • Experience with Object Orientated Programming
  • A desire to work in the commodities / trading sector.


Permanent / Full-Time Employment.

Hybrid working environment (2 / 3 days' in the office).


If you’re interested, please apply or contact me directly on LinkedIn.

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",2024-07-18,[] +3972260562,https://uk.linkedin.com/jobs/view/data-scientist-ai-ml-analyst-associate-at-cerberus-capital-management-3972260562?position=9&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=EMs9zE3zy7tCoz2OVaIalg%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, AI/ML, Analyst/Associate",Cerberus Capital Management,"London Area, United Kingdom","Data Scientist at Cerberus Capital Management + + + + +As a Data Scientist in our AI team, you will contribute to the firm’s objectives by delivering rapid and scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments. You’ll do this by designing, implementing, and deploying machine learning systems that help our desks and portfolio companies make better business decisions and ultimately drive value. You may also participate in due diligence or pricing analyses of future investments, etc. + + + + +Responsibilities: + + + + +Build and deliver AI systems as an individual contributor and in teams. + +Delivery focused: Help design solutions using a rigorous hypothesis-based approach, partner with cross-functional technical teams, and execute the development with a focus on impact. +Agile and pragmatic: Rapidly and iteratively deliver results in high-pressured projects, with skill and creativity to pivot quickly as needed to create the most value. +Contemporary and innovative approach: Develop novel solutions using modern platforms, languages, and tools; build IP into re-usable software packages. +Structured approach: Bring order to disparate requirements with high tolerance for ambiguity, very strong problem-solving ability, and excellent stakeholder engagement skills. + + + + +Communicate results in a compelling way to senior business executives. + +Communicator: Break down complex concepts and problems into succinct components for a range of clients and colleagues at all levels of seniority. +Storytelling: Be a storyteller capable of delivering insights in a compelling manner. + + + + +Build a reputation as a trusted technologist and member of the team. + +Technology polymath: experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack. +Test & learn mentality: Challenge our current best thinking, test ideas, and iterate rapidly. +Creativity: Invent new analyses and methods to solve key business problems. +Trusted voice: Establish reputation of delivering on commitments; build high-trust relationships. +Expertise: Develop deep subject matter expertise in valuable areas for the business. + + + + +Requirements: + +A degree in STEM field or equivalent. Advanced degree preferred but not required. +Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. +Python programmer with experience building data pipelines and statistical / machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. +Proficiency in SQL. Ability to write efficient and robust queries. +Experience with DevOps process for model deployment and unit testing. +Proof of work in cloud environments, especially MS Azure, is a plus. +Proof of work in collaborative development environment (Git, Azure DevOps, JIRA). +Strong intellectual curiosity, mathematical problem solving, and effectiveness in a team. + + + + +About Us: + +Established in 1992, Cerberus Capital Management, L.P., together with its affiliates, is one of the world's leading private investment firms. Through its team of investment and operations professionals, Cerberus specializes in providing both financial resources and operational expertise to help transform undervalued and underperforming companies into industry leaders for long-term success and value creation. Cerberus holds controlling or significant minority interests in companies around the world. + + + + +The Firm’s proprietary operations team, Cerberus Operations and Advisory Company, LLC (COAC), employs world-class operating executives to support Cerberus’ investment teams in the following areas: sourcing opportunities, conducting highly informed due diligence, taking interim management roles, monitoring the performance of investments and assisting in the planning and implementation of operational improvement initiatives at Cerberus’ portfolio companies. + + + + +Cerberus Technology Solutions is an operating company and subsidiary of Cerberus Capital Management focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations. Our expert technologists work closely with Cerberus investment and operating professionals across our global businesses and platforms on a variety of operating initiatives targeted at improving systems and generating value from data. + +Show more ","
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Data Scientist at Cerberus Capital Management


As a Data Scientist in our AI team, you will contribute to the firm’s objectives by delivering rapid and scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments. You’ll do this by designing, implementing, and deploying machine learning systems that help our desks and portfolio companies make better business decisions and ultimately drive value. You may also participate in due diligence or pricing analyses of future investments, etc.


Responsibilities:


Build and deliver AI systems as an individual contributor and in teams.

  • Delivery focused: Help design solutions using a rigorous hypothesis-based approach, partner with cross-functional technical teams, and execute the development with a focus on impact.
  • Agile and pragmatic: Rapidly and iteratively deliver results in high-pressured projects, with skill and creativity to pivot quickly as needed to create the most value.
  • Contemporary and innovative approach: Develop novel solutions using modern platforms, languages, and tools; build IP into re-usable software packages.
  • Structured approach: Bring order to disparate requirements with high tolerance for ambiguity, very strong problem-solving ability, and excellent stakeholder engagement skills.


Communicate results in a compelling way to senior business executives.

  • Communicator: Break down complex concepts and problems into succinct components for a range of clients and colleagues at all levels of seniority.
  • Storytelling: Be a storyteller capable of delivering insights in a compelling manner.


Build a reputation as a trusted technologist and member of the team.

  • Technology polymath: experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack.
  • Test & learn mentality: Challenge our current best thinking, test ideas, and iterate rapidly.
  • Creativity: Invent new analyses and methods to solve key business problems.
  • Trusted voice: Establish reputation of delivering on commitments; build high-trust relationships.
  • Expertise: Develop deep subject matter expertise in valuable areas for the business.


Requirements:

  • A degree in STEM field or equivalent. Advanced degree preferred but not required.
  • Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation.
  • Python programmer with experience building data pipelines and statistical / machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++.
  • Proficiency in SQL. Ability to write efficient and robust queries.
  • Experience with DevOps process for model deployment and unit testing.
  • Proof of work in cloud environments, especially MS Azure, is a plus.
  • Proof of work in collaborative development environment (Git, Azure DevOps, JIRA).
  • Strong intellectual curiosity, mathematical problem solving, and effectiveness in a team.


About Us:

Established in 1992, Cerberus Capital Management, L.P., together with its affiliates, is one of the world's leading private investment firms. Through its team of investment and operations professionals, Cerberus specializes in providing both financial resources and operational expertise to help transform undervalued and underperforming companies into industry leaders for long-term success and value creation. Cerberus holds controlling or significant minority interests in companies around the world.


The Firm’s proprietary operations team, Cerberus Operations and Advisory Company, LLC (COAC), employs world-class operating executives to support Cerberus’ investment teams in the following areas: sourcing opportunities, conducting highly informed due diligence, taking interim management roles, monitoring the performance of investments and assisting in the planning and implementation of operational improvement initiatives at Cerberus’ portfolio companies.


Cerberus Technology Solutions is an operating company and subsidiary of Cerberus Capital Management focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations. Our expert technologists work closely with Cerberus investment and operating professionals across our global businesses and platforms on a variety of operating initiatives targeted at improving systems and generating value from data.

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",2024-07-10,[] +3980367591,https://uk.linkedin.com/jobs/view/data-scientist-at-anson-mccade-3980367591?position=11&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=FPeAgo0DJx70O5sXc3LzIw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Anson McCade,"London Area, United Kingdom","Data Scientist + + + + +Role Details: + +Salary: £45,000-£70,000 + +Location: London- Hybrid Working + + + + +This role requires you to be holding, at minimum, an Active SC (Security Check) Clearance, please bear in mind before applying! + + + + +Quick Summary: + +• We are looking for a Data Scientist to work on cutting-edge projects within the Defence and Government sectors + +• The successful Data Scientist can expect to work as part of a growing team, solving our clients’ most challenging business problems, leveraging your AI & Data experience to design and implement complex technology solutions. + + + + +The Organisation: + +This Big 4 consultancy aims to make an impact that matters for their clients, people and society. Operating globally, working with this organisation will see you working at the heart of some of the biggest and most ambitious programmes undertaken in the Defence and Security space. + +Being one of the most recognisable organisations, this professional services firm, offers steady career progression alongside a collaborative environment. + + + + +Requirements: + +We are looking for candidates with both technical and business focused skills and experience, who can articulate the outcomes and value of their work. + +• Holding an Active UK security clearance to Security Check (SC) or Developed Vetting level + +• Managing projects, work streams or teams and taking responsibility for team or project deliverables. + +• Strong stakeholder management skills and demonstrate ability to collaborate effectively within multidisciplinary teams. + +• Track record of dealing well with ambiguity, prioritising needs, and delivering results in an agile, dynamic environment. + +• Excellent communication including direct correspondence with senior leadership. + +• Deep understanding of the lifecycle of Data Science and Machine Learning projects, from research and design, to developing, testing and managing solutions. + +• Experience in the Defence and Security sector. + + + + +Candidates will hold experience delivering services related to one or more core Data Science / Machine Learning domains: + +• Advanced statistical modelling. + +• Machine learning / deep learning. + +• Computer vision. + +• Natural language processing. + +• Machine Learning Engineering. + +• Machine Learning Operations (MLOps). + +• Ethical AI. + + + + +Working with a range of tools such as: + +• Data Science languages e.g. Python and development tools e.g. Git, Jira, BitBucket. + +• Machine Learning frameworks e.g. TensorFlow, PyTorch. + +• Cloud technologies e.g. AWS, Azure, Google Cloud Platform. + + + + +For further information feel free to reach me at 02895213213 or simply apply below! + +Reference: AMC/RKI + +Show more ","
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Data Scientist


Role Details:

Salary: £45,000-£70,000

Location: London- Hybrid Working


This role requires you to be holding, at minimum, an Active SC (Security Check) Clearance, please bear in mind before applying!


Quick Summary:

• We are looking for a Data Scientist to work on cutting-edge projects within the Defence and Government sectors

• The successful Data Scientist can expect to work as part of a growing team, solving our clients’ most challenging business problems, leveraging your AI & Data experience to design and implement complex technology solutions.


The Organisation:

This Big 4 consultancy aims to make an impact that matters for their clients, people and society. Operating globally, working with this organisation will see you working at the heart of some of the biggest and most ambitious programmes undertaken in the Defence and Security space.

Being one of the most recognisable organisations, this professional services firm, offers steady career progression alongside a collaborative environment.


Requirements:

We are looking for candidates with both technical and business focused skills and experience, who can articulate the outcomes and value of their work.

• Holding an Active UK security clearance to Security Check (SC) or Developed Vetting level

• Managing projects, work streams or teams and taking responsibility for team or project deliverables.

• Strong stakeholder management skills and demonstrate ability to collaborate effectively within multidisciplinary teams.

• Track record of dealing well with ambiguity, prioritising needs, and delivering results in an agile, dynamic environment.

• Excellent communication including direct correspondence with senior leadership.

• Deep understanding of the lifecycle of Data Science and Machine Learning projects, from research and design, to developing, testing and managing solutions.

• Experience in the Defence and Security sector.


Candidates will hold experience delivering services related to one or more core Data Science / Machine Learning domains:

• Advanced statistical modelling.

• Machine learning / deep learning.

• Computer vision.

• Natural language processing.

• Machine Learning Engineering.

• Machine Learning Operations (MLOps).

• Ethical AI.


Working with a range of tools such as:

• Data Science languages e.g. Python and development tools e.g. Git, Jira, BitBucket.

• Machine Learning frameworks e.g. TensorFlow, PyTorch.

• Cloud technologies e.g. AWS, Azure, Google Cloud Platform.


For further information feel free to reach me at 02895213213 or simply apply below!

Reference: AMC/RKI

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",2024-07-22,[] +3975256520,https://uk.linkedin.com/jobs/view/python-developer-at-understanding-recruitment-3975256520?position=12&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=MXjwIqz8I%2Fm5eEL1PwR0pA%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,Understanding Recruitment,"Greater London, England, United Kingdom","Python Developer – FinTech Analytics + +Salary up to £72k plus Bonus and Excellent Benefits + + + + +Senior Python Developer (FastAPI, Docker, AWS) – We are actively seeking a Python Developer to join our FinTech Analytics Start-up. You will be joining our growing team of multicultural engineers. You will be joining a team who embrace TDD, Clean Code and Refactoring in an agile environment. We are passionate about helping our customers exceed expectations. + + + + +Our Python Developer will be working closely with the CTO, engaging with data scientists, product owners and business team members in addition to fellow engineers on different greenfield data-analytics projects. + + + + +We can offer our Python Developer: + + + + +A rewarding career with a discretionary performance based equity. +Flexible and remote working. +A relaxed environment within the financial technology space. + + + + +We can also offer our Python Developer an environment which is perfect for a true technologist. You will be surrounded by individuals just like yourself. + + + + +Apply now for immediately consideration for this excellent Python Developer opportunity! + + + + +Understanding Recruitment is acting as an employment agency for this Python Developer vacancy. + +Show more ","
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Python Developer – FinTech Analytics

Salary up to £72k plus Bonus and Excellent Benefits


Senior Python Developer (FastAPI, Docker, AWS) – We are actively seeking a Python Developer to join our FinTech Analytics Start-up. You will be joining our growing team of multicultural engineers. You will be joining a team who embrace TDD, Clean Code and Refactoring in an agile environment. We are passionate about helping our customers exceed expectations.


Our Python Developer will be working closely with the CTO, engaging with data scientists, product owners and business team members in addition to fellow engineers on different greenfield data-analytics projects.


We can offer our Python Developer:


  • A rewarding career with a discretionary performance based equity.
  • Flexible and remote working.
  • A relaxed environment within the financial technology space.


We can also offer our Python Developer an environment which is perfect for a true technologist. You will be surrounded by individuals just like yourself.


Apply now for immediately consideration for this excellent Python Developer opportunity!


Understanding Recruitment is acting as an employment agency for this Python Developer vacancy.

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",2024-07-15,[] +3979721161,https://uk.linkedin.com/jobs/view/back-end-developer-python-up-to-%C2%A360k-london-at-the-mwek-company-3979721161?position=13&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=vXFnX8omeARuHUJ0ZDfwKw%3D%3D&trk=public_jobs_jserp-result_search-card,Back End Developer - Python - Up to £60K - London,The MWek Company,"London Area, United Kingdom","My client is looking for a Back End Python Developer to join their team. They will be primarily developing our trading systems under the management of a Senior Developer. This includes the code that deploys our models and executes our orders in the market, reconciles our trades and positions, interfaces with the various Crypto exchanges they trade on etc. There will also be opportunities to work across the whole of the company by completing coding tasks for the research and data processing that we carry out. + + + + +Requirements: + +1 – 2 years of knowledge and experience of working with Python3. + +Particular knowledge and experience of working with high performance libraries such as Numpy. + +Experience of working with JIT compiliers such as Numba. + +Ability to work to best practices particularily with regards to managing code bases, testing code etc. + +Experience interfacing with API’s and Websockets. + +Experience working in a Linux environment. + +Ability to problem solve and complete tasks in a broad range of areas. + +Experience in deploying applications to a live environment. + + + + +Nice-to-haves: + +Experience interfacing with databases such as SQL. + +Experience coding in other languages, particularly lower level languages such as C++. + + + + +Role paying to £60K. + +Show more ","
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My client is looking for a Back End Python Developer to join their team. They will be primarily developing our trading systems under the management of a Senior Developer. This includes the code that deploys our models and executes our orders in the market, reconciles our trades and positions, interfaces with the various Crypto exchanges they trade on etc. There will also be opportunities to work across the whole of the company by completing coding tasks for the research and data processing that we carry out.


Requirements:

1 – 2 years of knowledge and experience of working with Python3.

Particular knowledge and experience of working with high performance libraries such as Numpy.

Experience of working with JIT compiliers such as Numba.

Ability to work to best practices particularily with regards to managing code bases, testing code etc.

Experience interfacing with API’s and Websockets.

Experience working in a Linux environment.

Ability to problem solve and complete tasks in a broad range of areas.

Experience in deploying applications to a live environment.


Nice-to-haves:

Experience interfacing with databases such as SQL.

Experience coding in other languages, particularly lower level languages such as C++.


Role paying to £60K.

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",2024-07-24,[] +3975243107,https://uk.linkedin.com/jobs/view/data-scientist-marketing-effectiveness-mmm-at-la-fosse-3975243107?position=17&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=rucynjqSz5pAMnPVyoKSpw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Marketing Effectiveness (MMM),La Fosse,"London Area, United Kingdom","Data Scientist - Marketing Effectiveness (MMM) + +Location: Central London (Hybrid: 2 days in-office) + +Salary: £55-60k + Bonus + + + + +About Us: + +La Fosse are thrilled to partner with a Leading Live Entertainment Brand based in the heart of London. This role offers the unique opportunity to work turning data into actionable insights for a dynamic team and play a key role in shaping the future of their marketing strategies. + + + + +Key Responsibilities: + +Oversee the collection and integration of data from diverse sources, ensuring its quality and accuracy. +Utilize statistical techniques and modelling to analyse marketing data. +Develop and refine models to measure the impact of various marketing channels on show performance. +Collaborate with marketing teams to understand campaign objectives and provide data-driven recommendations. + + + + +Qualifications: + +Advanced expertise in machine learning for marketing analytics, with a focus on Marketing Mix Modelling (MMM) or econometrics. +Demonstrated success in developing data products tailored for marketing teams or stakeholders. +Proficient in SQL and Python (pandas, NumPy, scikit-learn), with the ability to convert technical insights into practical recommendations. +Must have the legal right to work in the UK (sponsorship is not available for this role). + + + + + + + +If interested in this role, please do apply (latest 25th July) and submit your CV. Alternatively, feel free to send me your updated CV to alex.heath@lafosse.com + +Show more ","
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Data Scientist - Marketing Effectiveness (MMM)

Location: Central London (Hybrid: 2 days in-office)

Salary: £55-60k + Bonus


About Us:

La Fosse are thrilled to partner with a Leading Live Entertainment Brand based in the heart of London. This role offers the unique opportunity to work turning data into actionable insights for a dynamic team and play a key role in shaping the future of their marketing strategies.


Key Responsibilities:

  • Oversee the collection and integration of data from diverse sources, ensuring its quality and accuracy.
  • Utilize statistical techniques and modelling to analyse marketing data.
  • Develop and refine models to measure the impact of various marketing channels on show performance.
  • Collaborate with marketing teams to understand campaign objectives and provide data-driven recommendations.


Qualifications:

  • Advanced expertise in machine learning for marketing analytics, with a focus on Marketing Mix Modelling (MMM) or econometrics.
  • Demonstrated success in developing data products tailored for marketing teams or stakeholders.
  • Proficient in SQL and Python (pandas, NumPy, scikit-learn), with the ability to convert technical insights into practical recommendations.
  • Must have the legal right to work in the UK (sponsorship is not available for this role).



If interested in this role, please do apply (latest 25th July) and submit your CV. Alternatively, feel free to send me your updated CV to alex.heath@lafosse.com

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",2024-07-15,[] +3982945853,https://uk.linkedin.com/jobs/view/python-developer-at-cpl-3982945853?position=20&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=8lJKKYCxYT1EV6A1Xg%2B9xw%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,Cpl,"London Area, United Kingdom","We are looking for an experienced Python Developer, who can be available from September, to join a project in London. This is to help develop, maintain, and enhance Python applications. This position will be Inside IR35 with 3 days a week onsite in London. You must be eligible for SC clearance for this position. + + + + +Key Responsibilities: + +Develop, maintain, and enhance Python applications. +Collaborate with cross-functional teams to define, design, and implement new features. +Write clean, maintainable, and efficient code following best practices. +Troubleshoot and debug applications to ensure optimal performance and security. + + + + +Requirements: + +Proven experience as a Python Developer in a professional setting. +Strong understanding of Python frameworks such as Django, Flask, or FastAPI. +Familiarity with front-end technologies such as JavaScript, HTML5, and CSS3. +Experience with RESTful APIs and integrating third-party services. +Strong problem-solving skills and attention to detail. + + + + +Please apply if you are interested in this position. + +Show more ","
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We are looking for an experienced Python Developer, who can be available from September, to join a project in London. This is to help develop, maintain, and enhance Python applications. This position will be Inside IR35 with 3 days a week onsite in London. You must be eligible for SC clearance for this position.


Key Responsibilities:

  • Develop, maintain, and enhance Python applications.
  • Collaborate with cross-functional teams to define, design, and implement new features.
  • Write clean, maintainable, and efficient code following best practices.
  • Troubleshoot and debug applications to ensure optimal performance and security.


Requirements:

  • Proven experience as a Python Developer in a professional setting.
  • Strong understanding of Python frameworks such as Django, Flask, or FastAPI.
  • Familiarity with front-end technologies such as JavaScript, HTML5, and CSS3.
  • Experience with RESTful APIs and integrating third-party services.
  • Strong problem-solving skills and attention to detail.


Please apply if you are interested in this position.

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",2024-07-23,[] +3956087246,https://uk.linkedin.com/jobs/view/football-data-scientist-at-singular-recruitment-3956087246?position=21&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=wnecwWrzatxPu2OUeQiB%2BA%3D%3D&trk=public_jobs_jserp-result_search-card,Football Data Scientist,Singular Recruitment,"London Area, United Kingdom","Football Data Scientist (one day a week in the central London office) + +​​​​ + +Overview + + + + +This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. + + + + +This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. + + + + +Ideal for those eager to blend their passion for sports with cutting-edge technology, aiming to make significant contributions in sports analytics. If you’re a detail-oriented innovator and team player, we’re excited to hear from you. + + + + +Responsibilities: + + + + +Collect, clean, and process football-related data from various sources. +Develop and implement statistical models and algorithms to analyze player performance and match outcomes. +Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. +Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. +Stay updated with the latest trends and advancements in sports analytics and data science. + + + + +Experience: + + + + +Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. +Essential - Proven experience in data science within the sports industry. +Strong programming skills in Python. +Experience with data visualization tools like Tableau, Power BI, or similar. +Knowledge of football tactics, strategies, and player performance metrics. +Excellent problem-solving skills and attention to detail. +Strong communication skills with the ability to explain complex data insights to non-technical stakeholders. + + + + +Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company. + +Show more ","
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Football Data Scientist (one day a week in the central London office)

​​​​

Overview


This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry.


This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics.


Ideal for those eager to blend their passion for sports with cutting-edge technology, aiming to make significant contributions in sports analytics. If you’re a detail-oriented innovator and team player, we’re excited to hear from you.


Responsibilities:


  • Collect, clean, and process football-related data from various sources.
  • Develop and implement statistical models and algorithms to analyze player performance and match outcomes.
  • Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders.
  • Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights.
  • Stay updated with the latest trends and advancements in sports analytics and data science.


Experience:


  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Essential - Proven experience in data science within the sports industry.
  • Strong programming skills in Python.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Knowledge of football tactics, strategies, and player performance metrics.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.


Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.

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",2024-08-06,[] +3984914196,https://uk.linkedin.com/jobs/view/data-scientist-at-innovate-3984914196?position=23&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=6tCz6SvxOIyrW139SmA6mQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Innovate,"London Area, United Kingdom","Data Scientist + +Location: London/Remote + +Employment: Full Time + +Salary: Competitive Salary for Mid-Level + + + + +Our client is ideally looking for immediately available Data Scientists to join their expanding team, one who specialise in identifying, classifying, and mitigating global risks for organisations. + + + + +Working Style: Being in the London area is favourable, although hybrid working in England is possible. + + + + +Role: Seeking a mid-level data scientist, preferably with a defence background, to work on a fascinating, one of a kind, Dataset. Their capabilities include a digital twinning technology, which processes extensive raw data types with the aim of delivering unique and precise information to help businesses make critical decisions. + + + + +Qualifications/Requirements: + +Genuine passion and hunger for data science +Time series analysis +Geospatial clustering and analysis at scale +Geospatial path analysis at scale +Experience working with and building relational/graph databases +SC Clearance or eligibility to obtain it (UK national with 5 years' residency in the UK) + + + + +Please do apply if you fulfill many of the above requirements, and if data science and its capabilities inspire you with a desire to implement your skills in a challenging and exciting environment. + +Show more ","
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Data Scientist

Location: London/Remote

Employment: Full Time

Salary: Competitive Salary for Mid-Level


Our client is ideally looking for immediately available Data Scientists to join their expanding team, one who specialise in identifying, classifying, and mitigating global risks for organisations.


Working Style: Being in the London area is favourable, although hybrid working in England is possible.


Role: Seeking a mid-level data scientist, preferably with a defence background, to work on a fascinating, one of a kind, Dataset. Their capabilities include a digital twinning technology, which processes extensive raw data types with the aim of delivering unique and precise information to help businesses make critical decisions.


Qualifications/Requirements:

  • Genuine passion and hunger for data science
  • Time series analysis
  • Geospatial clustering and analysis at scale
  • Geospatial path analysis at scale
  • Experience working with and building relational/graph databases
  • SC Clearance or eligibility to obtain it (UK national with 5 years' residency in the UK)


Please do apply if you fulfill many of the above requirements, and if data science and its capabilities inspire you with a desire to implement your skills in a challenging and exciting environment.

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+ +
",2024-07-26,[] +3981954003,https://uk.linkedin.com/jobs/view/data-scientist-machine-learning-at-tesco-technology-3981954003?position=24&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=gwDfXzQbOM8n%2FRQhxq1QUQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (Machine Learning),Tesco Technology,"Greater London, England, United Kingdom","Our Data Science team is continuing to grow and we have an exciting opportunity for an experienced Machine Learning Data Scientist to join our team where you will model complex business problems and deploy data products at scale. + + + + +This role can be based out of either our London (Farringdon) or Welwyn Garden City office, depending on your home location. We work in a more blended pattern - combining office (3 days) and remote working (2 days). + + + + +About the team + +Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard, where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. + + + + +We work on several domains and problem types: online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore, we have a great work-life balance, team days and relaxed but engaging culture. + + + + +You will be responsible for + +This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. + + + + +You will need + +1+ years industry experience working as a Data Scientist with strong Machine Learning skills +You will be an ambitious individual with a mix of statistics, programming, and machine learning skills. +Extensive background in machine learning and data mining. +A track record in modifying and designing advanced algorithms and applying them to large data sets is essential. +A scientific mentality with the ability to ask the right questions, as well as answer them. +A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, as well as a solid understanding of mathematics and statistical principles. +Strong programming experience (Python is preferred). + + + + +What’s in it for you + +We’re all about the little helps. That’s why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to: + +Annual bonus scheme of up to 20% of base salary +Holiday starting at 25 days plus a personal day (plus Bank holidays) +Buy holiday salary sacrifice scheme (for salaried roles) +Private medical insurance +Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution +Life Assurance - 5 x contractual pay +26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave +The right to request flexible working from your first day with us +Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing +A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online +Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home +Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here +Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want + +Click Here to read more about the full range of benefits we have available for our colleagues + +Show more ","
+ + + + + +
+
+

Our Data Science team is continuing to grow and we have an exciting opportunity for an experienced Machine Learning Data Scientist to join our team where you will model complex business problems and deploy data products at scale.


This role can be based out of either our London (Farringdon) or Welwyn Garden City office, depending on your home location. We work in a more blended pattern - combining office (3 days) and remote working (2 days).


About the team

Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard, where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects.


We work on several domains and problem types: online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore, we have a great work-life balance, team days and relaxed but engaging culture.


You will be responsible for

This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist, you will need to understand difficult business problems and prototype solutions with minimal support. Apply, modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark) is a core component of the role. Our data scientists will need to be able to validate, document and present the modeling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community.


You will need

  • 1+ years industry experience working as a Data Scientist with strong Machine Learning skills
  • You will be an ambitious individual with a mix of statistics, programming, and machine learning skills.
  • Extensive background in machine learning and data mining.
  • A track record in modifying and designing advanced algorithms and applying them to large data sets is essential.
  • A scientific mentality with the ability to ask the right questions, as well as answer them.
  • A strong numerical higher degree in a mathematical, scientific, engineering or computer science discipline is preferable, as well as a solid understanding of mathematics and statistical principles.
  • Strong programming experience (Python is preferred).


What’s in it for you

We’re all about the little helps. That’s why we give our wonderful colleagues bags of benefits. Including wellbeing services, an award-winning pension scheme and much, much more, our colleague reward package keeps on giving. And helps make every day a little better for you and your family. These include but are not limited to:

  • Annual bonus scheme of up to 20% of base salary
  • Holiday starting at 25 days plus a personal day (plus Bank holidays)
  • Buy holiday salary sacrifice scheme (for salaried roles)
  • Private medical insurance
  • Retirement savings plan - save between 4% and 7.5% and Tesco will match your contribution
  • Life Assurance - 5 x contractual pay
  • 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave
  • The right to request flexible working from your first day with us
  • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing
  • A Colleague Clubcard for you & a family member (after 3 months of service), giving you access to lots of discounts in-store & online
  • Great colleague deals and discounts, saving you money on everyday purchases, eating out and utility bills for the home
  • Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds. For more information about our colleague networks please click here
  • Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want

Click Here to read more about the full range of benefits we have available for our colleagues

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3888819941,https://uk.linkedin.com/jobs/view/data-scientist-at-the-economist-3888819941?position=25&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=uPw%2BZj%2F8XA6Wi5UhNh5Qvg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,The Economist,"London, England, United Kingdom","Introduction + +The Economist is seeking an experienced Data Scientist to join our Data Science Team. Our Data Science Team is a central source of data skills working across all commercial teams in the business. Reporting to the Head of Data Science you will be leading the application of data science across the business including predictive modelling, NLP and content recommendation. + +We believe that data science can bring us a better understanding of our customers’ needs, opportunities to improve their experience and a clearer view of what is driving our business performance. In this role you will help advance The Economist’s data science capability, bringing projects to production and cementing the role of data science in the way our business operates. You will be doing hands-on data science work with a variety of datasets. You will be directly speaking to stakeholders across the business to understand their needs and explain your work, while collaborating with data engineers, insight analysts and researchers to deliver projects cross-functionally. + +We believe data science is essential to the success of our business. This role is an opportunity to apply data science to make a real difference to The Economist’s business. + +How will you contribute? + + +Help identify areas where data science can be applied to generate value for the business +Work with stakeholders and technical teams to propose data science projects +Execute data science projects using a range of datasets and techniques +Collaborate with other technical teams to deliver solutions as needed +Communicate the outcomes and value of your work to business stakeholders + + +The ideal skills for this role are: + + +Prior experience as a data scientist, ideally in a business that interacts with customers through digital channels +A solid understanding of statistical modelling, traditional machine learning and generative AI +Ability to write code to implement statistical models and machine learning processes in Python +Experience extracting, cleaning and preparing data for data science work including good knowledge of SQL +An understanding of MLOps best practices +Ability to communicate complex technical concepts to non-technical colleagues and practically deliver a data science solution to a business problem +A meticulous approach to all work, completed to high level of quality +The ability to work under time pressure while providing high quality output +The ability to work on your own with conviction to prioritise workload +Excellent communication skills (written and verbal) + + +Accountabilities + +How will you contribute? + + +Help identify areas where data science can be applied to generate value for the business +Work with stakeholders and technical teams to propose data science projects +Execute data science projects using a range of datasets and techniques +Collaborate with other technical teams to deliver solutions as needed +Communicate the outcomes and value of your work to business stakeholders + + +Experience, Skills And Professional Attributes + +The ideal skills for this role are: + + +Prior experience as a data scientist, ideally in a business that interacts with customers through digital channels +A solid understanding of statistical modelling, traditional machine learning and generative AI +Ability to write code to implement statistical models and machine learning processes in Python +Experience extracting, cleaning and preparing data for data science work including good knowledge of SQL +An understanding of MLOps best practices +Ability to communicate complex technical concepts to non-technical colleagues and practically deliver a data science solution to a business problem +A meticulous approach to all work, completed to high level of quality +The ability to work under time pressure while providing high quality output +The ability to work on your own with conviction to prioritise workload +Excellent communication skills (written and verbal) +Show more ","
+ + + + + +
+
+ Introduction

The Economist is seeking an experienced Data Scientist to join our Data Science Team. Our Data Science Team is a central source of data skills working across all commercial teams in the business. Reporting to the Head of Data Science you will be leading the application of data science across the business including predictive modelling, NLP and content recommendation.

We believe that data science can bring us a better understanding of our customers’ needs, opportunities to improve their experience and a clearer view of what is driving our business performance. In this role you will help advance The Economist’s data science capability, bringing projects to production and cementing the role of data science in the way our business operates. You will be doing hands-on data science work with a variety of datasets. You will be directly speaking to stakeholders across the business to understand their needs and explain your work, while collaborating with data engineers, insight analysts and researchers to deliver projects cross-functionally.

We believe data science is essential to the success of our business. This role is an opportunity to apply data science to make a real difference to The Economist’s business.

How will you contribute?

  • Help identify areas where data science can be applied to generate value for the business
  • Work with stakeholders and technical teams to propose data science projects
  • Execute data science projects using a range of datasets and techniques
  • Collaborate with other technical teams to deliver solutions as needed
  • Communicate the outcomes and value of your work to business stakeholders

The ideal skills for this role are:

  • Prior experience as a data scientist, ideally in a business that interacts with customers through digital channels
  • A solid understanding of statistical modelling, traditional machine learning and generative AI
  • Ability to write code to implement statistical models and machine learning processes in Python
  • Experience extracting, cleaning and preparing data for data science work including good knowledge of SQL
  • An understanding of MLOps best practices
  • Ability to communicate complex technical concepts to non-technical colleagues and practically deliver a data science solution to a business problem
  • A meticulous approach to all work, completed to high level of quality
  • The ability to work under time pressure while providing high quality output
  • The ability to work on your own with conviction to prioritise workload
  • Excellent communication skills (written and verbal)

Accountabilities

How will you contribute?

  • Help identify areas where data science can be applied to generate value for the business
  • Work with stakeholders and technical teams to propose data science projects
  • Execute data science projects using a range of datasets and techniques
  • Collaborate with other technical teams to deliver solutions as needed
  • Communicate the outcomes and value of your work to business stakeholders

Experience, Skills And Professional Attributes

The ideal skills for this role are:

  • Prior experience as a data scientist, ideally in a business that interacts with customers through digital channels
  • A solid understanding of statistical modelling, traditional machine learning and generative AI
  • Ability to write code to implement statistical models and machine learning processes in Python
  • Experience extracting, cleaning and preparing data for data science work including good knowledge of SQL
  • An understanding of MLOps best practices
  • Ability to communicate complex technical concepts to non-technical colleagues and practically deliver a data science solution to a business problem
  • A meticulous approach to all work, completed to high level of quality
  • The ability to work under time pressure while providing high quality output
  • The ability to work on your own with conviction to prioritise workload
  • Excellent communication skills (written and verbal)
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3968344682,https://uk.linkedin.com/jobs/view/ai-engineer-at-mcgregor-boyall-3968344682?position=29&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=KRIaWx6tAzy3cknAE1dWdw%3D%3D&trk=public_jobs_jserp-result_search-card,AI Engineer,McGregor Boyall,"London, England, United Kingdom","Software Engineering - AI Engineer / LLM / GenAI / ML + +Are you passionate about AI and looking to make a significant impact with a top consultancy in Central London? Our client are seeking a Solid Software Engineer with either proven experience delivering LLM's / GenAI projects or have a keen interest in this space. + +Key Qualifications: + +Experience with LLMs and a deep understanding of the generative AI landscape. +Strong Python development skills, including writing production-quality code. +Solid grasp of statistics and ML theory. +An undergraduate degree in Mathematics, Computer Science, or a related field, or equivalent industry experience. +Professional services experience (beneficial). +Excellent communication skills, both verbal and written, with the ability to convey technical information effectively. +Ability to excel in a rapidly changing environment with dynamic objectives. +Curiosity, ownership, and the capacity to work both collaboratively and independently. + +Desirable Skills: + +Developing cloud applications on Microsoft Azure. +DevOps (CI/CD, git, etc.). +SQL proficiency. +Secure development practices. + +Whats on offer; + +Competitive salary and benefits. +Opportunity to work with industry leaders. +Collaborative and innovative work environment. +Central London location. + +If this looks of interest, please apply with an up to date copy of your CV for immediate consideration. + + + + + +McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. + +Show more ","
+ + + + + +
+
+

Software Engineering - AI Engineer / LLM / GenAI / ML

Are you passionate about AI and looking to make a significant impact with a top consultancy in Central London? Our client are seeking a Solid Software Engineer with either proven experience delivering LLM's / GenAI projects or have a keen interest in this space.

Key Qualifications:

  • Experience with LLMs and a deep understanding of the generative AI landscape.
  • Strong Python development skills, including writing production-quality code.
  • Solid grasp of statistics and ML theory.
  • An undergraduate degree in Mathematics, Computer Science, or a related field, or equivalent industry experience.
  • Professional services experience (beneficial).
  • Excellent communication skills, both verbal and written, with the ability to convey technical information effectively.
  • Ability to excel in a rapidly changing environment with dynamic objectives.
  • Curiosity, ownership, and the capacity to work both collaboratively and independently.

Desirable Skills:

  • Developing cloud applications on Microsoft Azure.
  • DevOps (CI/CD, git, etc.).
  • SQL proficiency.
  • Secure development practices.

Whats on offer;

  • Competitive salary and benefits.
  • Opportunity to work with industry leaders.
  • Collaborative and innovative work environment.
  • Central London location.

If this looks of interest, please apply with an up to date copy of your CV for immediate consideration.


McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-10,[] +3969219264,https://uk.linkedin.com/jobs/view/data-scientist-at-data-idols-3969219264?position=30&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=Civa1dYxBDTtKtLPKD5iUw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Data Idols,"London, England, United Kingdom","Data Scientist + + + +Data Idols are working with a well-known media organisation to hire a Data Scientist to join their forward-thinking company that put data at the core of their vision. In this role, you will be a key member of the data team helping shape the tech stack and achieve the desired needs of the company. + + + +The Opportunity + + + +As a Data Scientist, you will be working towards utilising ML and AI technologies to meet desired outputs from raw data sets collected from multiple different sources. In this exciting role, you will be building up the existing tech stack with new skills and helping develop the team further. You will be helping the company understand its users and learn about their behaviours to help boost market outreach. + +You will be using data science techniques to analyse data, detect patterns and use advanced visualisation techniques to help present insights to stakeholders across the company. + + + +Skills and Experience + + +Extensive experience in using NLP +Experience in using Python +Experience in using ETL and SQL +Experience using ML/AI techniques +Experience with using data visualisation tools such as PowerBI +They currently use Azure but are open to using other cloud platforms + + +What's in it for you? + + +£55,000 - £65,000 +Career progression +Flexible working-from-home arrangements + +If you are interested in this exciting role, then please send your CV for initial screening + + + +Data Scientist + + +Desired Skills and Experience + +NLP\SQL|Python|Azure + +Show more ","
+ + + + + +
+
+ Data Scientist

Data Idols are working with a well-known media organisation to hire a Data Scientist to join their forward-thinking company that put data at the core of their vision. In this role, you will be a key member of the data team helping shape the tech stack and achieve the desired needs of the company.

The Opportunity

As a Data Scientist, you will be working towards utilising ML and AI technologies to meet desired outputs from raw data sets collected from multiple different sources. In this exciting role, you will be building up the existing tech stack with new skills and helping develop the team further. You will be helping the company understand its users and learn about their behaviours to help boost market outreach.

You will be using data science techniques to analyse data, detect patterns and use advanced visualisation techniques to help present insights to stakeholders across the company.

Skills and Experience

  • Extensive experience in using NLP
  • Experience in using Python
  • Experience in using ETL and SQL
  • Experience using ML/AI techniques
  • Experience with using data visualisation tools such as PowerBI
  • They currently use Azure but are open to using other cloud platforms

What's in it for you?

  • £55,000 - £65,000
  • Career progression
  • Flexible working-from-home arrangements

If you are interested in this exciting role, then please send your CV for initial screening

Data Scientist


Desired Skills and Experience

NLP\SQL|Python|Azure
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-08,[] +3978408511,https://uk.linkedin.com/jobs/view/senior-data-scientist-at-ofi-3978408511?position=32&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=twaJQ25zE9mpaxFQu7Xwew%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,ofi,"Greater London, England, United Kingdom","Olam food ingredients (ofi) is a global leader at the forefront of food & beverage consumer trends delivering sustainable, natural, and plant-based ingredients & solutions serving large, attractive and high growth end-use categories. Olam Europe Limited, based in London, are seeking to appoint a Data Scientist to the business, based out of the London office. + + + + +JOB TITLE + +Data Scientist + + + + +LOCATION + +London, UK + + + + +REPORTS TO + +Vikram Upadhyay, Global Head of Market Risk - ofi + + + + +ROLE OVERVIEW + +This position will report into the Global Head of Market Risk in London and will assume the following responsibilities: + +Maintenance and continuing development of the company’s Value-at-Risk (VaR) model across all linear and non-linear commodity and currency exposures, using Python. Development of a user interface for the end-user will also be required. +Continuous engagement with Business Unit (BU) stakeholders to understand their needs and goals and help scope further risk-related projects. +Perform exploratory data analysis and visualization to discover patterns, trends, and insights for both the traded markets and associated positions held. +Select, apply, and fine-tune analytical / machine learning models to diverse data sets, and solve various business problems. +Implement and communicate the results of your models and visualizations at all levels to help drive business value. +A collaborative and agile mindset, and the ability to work well in a small and dynamic team. + + + + +QUALIFICATION AND EXPERIENCE + +A STEM degree with a very high level of understanding of coding principles +4+ years of data science experience in industry with analytical models applied to real-world data +A high level of proficiency in at least Python and SQL, as well as other programming and data science and statistical tools and frameworks. +A very strong command of Value-at-Risk modelling (particularly historical simulation), stress testing and financial derivatives (futures, options, exotics) and their associated exposures (e.g. the “Greeks”) +Time series modelling (both machine-learning and econometric methods) +Proficiency in visualizing complex data for a broad audience +Advanced qualifications in mathematics, statistics, and machine learning preferred. + +Show more ","
+ + + + + +
+
+

Olam food ingredients (ofi) is a global leader at the forefront of food & beverage consumer trends delivering sustainable, natural, and plant-based ingredients & solutions serving large, attractive and high growth end-use categories. Olam Europe Limited, based in London, are seeking to appoint a Data Scientist to the business, based out of the London office.


JOB TITLE

Data Scientist


LOCATION

London, UK


REPORTS TO

Vikram Upadhyay, Global Head of Market Risk - ofi


ROLE OVERVIEW

This position will report into the Global Head of Market Risk in London and will assume the following responsibilities:

  • Maintenance and continuing development of the company’s Value-at-Risk (VaR) model across all linear and non-linear commodity and currency exposures, using Python. Development of a user interface for the end-user will also be required.
  • Continuous engagement with Business Unit (BU) stakeholders to understand their needs and goals and help scope further risk-related projects.
  • Perform exploratory data analysis and visualization to discover patterns, trends, and insights for both the traded markets and associated positions held.
  • Select, apply, and fine-tune analytical / machine learning models to diverse data sets, and solve various business problems.
  • Implement and communicate the results of your models and visualizations at all levels to help drive business value.
  • A collaborative and agile mindset, and the ability to work well in a small and dynamic team.


QUALIFICATION AND EXPERIENCE

  • A STEM degree with a very high level of understanding of coding principles
  • 4+ years of data science experience in industry with analytical models applied to real-world data
  • A high level of proficiency in at least Python and SQL, as well as other programming and data science and statistical tools and frameworks.
  • A very strong command of Value-at-Risk modelling (particularly historical simulation), stress testing and financial derivatives (futures, options, exotics) and their associated exposures (e.g. the “Greeks”)
  • Time series modelling (both machine-learning and econometric methods)
  • Proficiency in visualizing complex data for a broad audience
  • Advanced qualifications in mathematics, statistics, and machine learning preferred.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3994588408,https://uk.linkedin.com/jobs/view/data-scientist-at-deliveroo-3994588408?position=33&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=OSGQmgVh8YUXzKlCEhZVyg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Deliveroo,"London, England, United Kingdom","The Data & Science Org + +At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. + +Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. + +Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. + +As a data scientist at Deliveroo, your main goal is to maximise business impact within one of many business areas. You will help answer questions like: + + + +Which markets/cities should we enter next? +How can we incentivise good rider behaviour? +What is the impact of exclusive deals we have with restaurants? +How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo? +What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? +How much should our pricing vary by distance and by market? +What is the optimum selection and variety of restaurants in a particular area? +How do we adapt our consumer app to better suit grocery shoppers? + + + +The work you will do will have a direct, measurable impact on the bottom line of the company. + +Requirements + + + +A solid grounding in SQL (and preferably Python) +Experience conducting A/B experiments +Great communication skills - in person, in writing, in code; to technical and non-technical audiences +A problem solver with a deep analytical mindset +Ability to think creatively and insightfully about business problems +A critical thinker with very strong attention to detail +A pragmatic, flexible approach, where you most care about achieving impact +Excellent people skills — you'll be meeting with stakeholders to translate business needs into data science problems + + + +Why Deliveroo + +Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. + +We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. + +Workplace & Benefits + +At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. + +Diversity + +At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. + +We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. + +Please click here to view our candidate privacy policy. +Show more ","
+ + + + + +
+
+ The Data & Science Org

At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.

Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers.

Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee.

As a data scientist at Deliveroo, your main goal is to maximise business impact within one of many business areas. You will help answer questions like:


  • Which markets/cities should we enter next?
  • How can we incentivise good rider behaviour?
  • What is the impact of exclusive deals we have with restaurants?
  • How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo?
  • What are the trade-offs we face when choosing between growth and profitability? How should we decide between them?
  • How much should our pricing vary by distance and by market?
  • What is the optimum selection and variety of restaurants in a particular area?
  • How do we adapt our consumer app to better suit grocery shoppers?


The work you will do will have a direct, measurable impact on the bottom line of the company.

Requirements


  • A solid grounding in SQL (and preferably Python)
  • Experience conducting A/B experiments
  • Great communication skills - in person, in writing, in code; to technical and non-technical audiences
  • A problem solver with a deep analytical mindset
  • Ability to think creatively and insightfully about business problems
  • A critical thinker with very strong attention to detail
  • A pragmatic, flexible approach, where you most care about achieving impact
  • Excellent people skills — you'll be meeting with stakeholders to translate business needs into data science problems


Why Deliveroo

Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.

We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.

Workplace & Benefits

At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.

Diversity

At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.

We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.

Please click here to view our candidate privacy policy. +
+ + + + + + + + + + + + + + + + + + +
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",2024-08-06,[] +3975707112,https://uk.linkedin.com/jobs/view/remote-python-developer-at-tiptopjob-3975707112?position=35&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=RIaSg1WPGP8FtVCmOGB81w%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Python Developer,TipTopJob,"London, England, United Kingdom","Our clients need technically strong UK:based back:end Python developers who are keen techies with a good level of knowledge for their experience: junior to mid:level developers who want to move up to the next level and get stuck into making a big difference in a small company. + +Every cycle, we review everything we do (including developers work) with the intention of continually optimising our process and methods, eliminating errors and making our work environment more productive. This all comes from the top of the organisation : we are a software company, technically run from the top by a techie. + +Skills And Background Required + +Good Python experience + +RDBMS experience ,SQL etc + +A background in Maths or Data Science + +The Tools And Techs We Currently Use + + +Python 3.x +Postgres SQL and SQLAlchemy ORM/expression language +FastAPI +Starlette +GraphQL +Gitlab +ClickUp +Docker + + +Benefits include + + +Pension contribution up to 5; +25 days annual leave (in addition to the public holidays) + + +ALL APPLICANTS MUST BE FREE TO WORK IN THE UK + +Exposed Solutions is acting as an employment agency to this client. + +Please note that no terminology in this advert is intended to discriminate on any grounds. +Show more ","
+ + + + + +
+
+ Our clients need technically strong UK:based back:end Python developers who are keen techies with a good level of knowledge for their experience: junior to mid:level developers who want to move up to the next level and get stuck into making a big difference in a small company.

Every cycle, we review everything we do (including developers work) with the intention of continually optimising our process and methods, eliminating errors and making our work environment more productive. This all comes from the top of the organisation : we are a software company, technically run from the top by a techie.

Skills And Background Required

Good Python experience

RDBMS experience ,SQL etc

A background in Maths or Data Science

The Tools And Techs We Currently Use

  • Python 3.x
  • Postgres SQL and SQLAlchemy ORM/expression language
  • FastAPI
  • Starlette
  • GraphQL
  • Gitlab
  • ClickUp
  • Docker

Benefits include

  • Pension contribution up to 5;
  • 25 days annual leave (in addition to the public holidays)

ALL APPLICANTS MUST BE FREE TO WORK IN THE UK

Exposed Solutions is acting as an employment agency to this client.

Please note that no terminology in this advert is intended to discriminate on any grounds. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-13,[] +3981311687,https://uk.linkedin.com/jobs/view/lead-data-scientist-at-sr2-socially-responsible-recruitment-certified-b-corporation%E2%84%A2-3981311687?position=36&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=laugGCF5OEaFk1%2BAG0bd4A%3D%3D&trk=public_jobs_jserp-result_search-card,Lead Data Scientist,SR2 | Socially Responsible Recruitment | Certified B Corporation™,"London Area, United Kingdom","Data Scientist – 2 Days a week on site – London + + + + +A major contributor to why people stay in their jobs is they have (and can clearly see / measure) a direct impact on their business. + + + + +Without it people can often feel lost. + + + + +In this role as a Data Scientist, everything you do is measurable. A lot of what you do is focused around optimisation so you can clearly see the impact you can have on the business (one model on a previous project saved £5m last year!). + + + + +That meaning is a lot, but with a very impressive 40% bonus which is partly influenced by things like that, you can have a financial impact on yourself too! + + + + +This role is that of a Lead; you are tried and tested, and can act as the right-hand person to the manager to bounce ideas off. You’ll have one direct report to look after and mentor and report into the Head of Data Science. You’re all about optimisation and probably have a solid background in Causal Modelling & Uplift Modelling. + + + + +Ideal background + +Several years as a Data Scientist to allow both team and independent work +Excellent stakeholder management & communication – its technical AND people focussed +Causal Modelling & Uplift Modelling techniques are your bread & butter +AirFlow (or other Orchestration tools) + + + + +Salary is up to £110,000 + 40% bonus, 3 days WFH, flexible hours, 25 days holiday, Private pension and 6% matched pension. + + + + +For immediate consideration please click apply or contact Charles at SR2. + +Show more ","
+ + + + + +
+
+

Data Scientist – 2 Days a week on site – London


A major contributor to why people stay in their jobs is they have (and can clearly see / measure) a direct impact on their business.


Without it people can often feel lost.


In this role as a Data Scientist, everything you do is measurable. A lot of what you do is focused around optimisation so you can clearly see the impact you can have on the business (one model on a previous project saved £5m last year!).


That meaning is a lot, but with a very impressive 40% bonus which is partly influenced by things like that, you can have a financial impact on yourself too!


This role is that of a Lead; you are tried and tested, and can act as the right-hand person to the manager to bounce ideas off. You’ll have one direct report to look after and mentor and report into the Head of Data Science. You’re all about optimisation and probably have a solid background in Causal Modelling & Uplift Modelling.


Ideal background

  • Several years as a Data Scientist to allow both team and independent work
  • Excellent stakeholder management & communication – its technical AND people focussed
  • Causal Modelling & Uplift Modelling techniques are your bread & butter
  • AirFlow (or other Orchestration tools)


Salary is up to £110,000 + 40% bonus, 3 days WFH, flexible hours, 25 days holiday, Private pension and 6% matched pension.


For immediate consideration please click apply or contact Charles at SR2.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3979992253,https://uk.linkedin.com/jobs/view/data-scientist-at-intellect-group-3979992253?position=38&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=MCjcvIJC3fVrj3r5KSnkyA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Intellect Group,"Greater London, England, United Kingdom","Healthcare Data Scientist Wanted + + + + +Are you an ambitious and skilled Data Scientist ready to pioneer advancements in healthcare? We are actively seeking a Healthcare Data Scientist to join our innovative team dedicated to transforming patient care through cutting-edge data science. + + + + +Position: + +Healthcare Data Scientist + + + + +Qualifications: + +MSc in Data Science, Statistics, or a related field, or a 1st Class BSc in a healthcare-related discipline. + + + + +Experience: + +The ideal candidate will have a minimum of 1-2 years of hands-on experience as a Data Scientist, demonstrating a successful track record of applying data science methodologies to healthcare challenges. + + + + +Key Responsibilities: + +Apply advanced statistical and machine learning techniques to analyze healthcare data. +Collaborate with interdisciplinary teams to develop predictive models and algorithms. +Conduct exploratory data analysis to uncover insights and trends in healthcare datasets. +Design and implement experiments to test hypotheses and improve data quality. +Contribute to the development and optimization of machine learning models for healthcare applications. +Stay abreast of emerging technologies and methodologies in healthcare data science. + + + + +Qualities We're Looking For: + +Proficiency in programming languages such as Python or SQL. +Strong analytical and problem-solving skills with attention to detail. +Experience working with healthcare data standards and privacy regulations. +Excellent communication skills to convey complex findings to diverse stakeholders. +Ability to work collaboratively in a dynamic and fast-paced environment. +Passion for leveraging data science to drive positive healthcare outcomes. + + + + +Benefits: + +Competitive salary reflective of experience and skills. +Comprehensive healthcare benefits package. +Opportunities for continuous professional development and training. +Collaborative and inclusive work environment. +Contribution to impactful projects shaping the future of healthcare. +Show more ","
+ + + + + +
+
+

Healthcare Data Scientist Wanted


Are you an ambitious and skilled Data Scientist ready to pioneer advancements in healthcare? We are actively seeking a Healthcare Data Scientist to join our innovative team dedicated to transforming patient care through cutting-edge data science.


Position:

Healthcare Data Scientist


Qualifications:

  • MSc in Data Science, Statistics, or a related field, or a 1st Class BSc in a healthcare-related discipline.


Experience:

The ideal candidate will have a minimum of 1-2 years of hands-on experience as a Data Scientist, demonstrating a successful track record of applying data science methodologies to healthcare challenges.


Key Responsibilities:

  • Apply advanced statistical and machine learning techniques to analyze healthcare data.
  • Collaborate with interdisciplinary teams to develop predictive models and algorithms.
  • Conduct exploratory data analysis to uncover insights and trends in healthcare datasets.
  • Design and implement experiments to test hypotheses and improve data quality.
  • Contribute to the development and optimization of machine learning models for healthcare applications.
  • Stay abreast of emerging technologies and methodologies in healthcare data science.


Qualities We're Looking For:

  • Proficiency in programming languages such as Python or SQL.
  • Strong analytical and problem-solving skills with attention to detail.
  • Experience working with healthcare data standards and privacy regulations.
  • Excellent communication skills to convey complex findings to diverse stakeholders.
  • Ability to work collaboratively in a dynamic and fast-paced environment.
  • Passion for leveraging data science to drive positive healthcare outcomes.


Benefits:

  • Competitive salary reflective of experience and skills.
  • Comprehensive healthcare benefits package.
  • Opportunities for continuous professional development and training.
  • Collaborative and inclusive work environment.
  • Contribution to impactful projects shaping the future of healthcare.
+
+ + + + + + + + + + + + + + + + + + +
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",2024-07-19,[] +3984630326,https://uk.linkedin.com/jobs/view/react-native-developer-at-wedo-3984630326?position=41&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=SkT235A2nn8cQ1mZbEq1aA%3D%3D&trk=public_jobs_jserp-result_search-card,React (Native) Developer,WeDo,"London Area, United Kingdom","Mid/Senior Front-End Engineer + + + + +Location: London - Hybrid (3 days per week) + +Salary: £70,000 - £80,000 + Share Options + Benefits + +Reporting into: Engineering Manager + + + + +WeDo have partnered with a payment tech company on a mission to create the most empowering and flexible way to pay. How do they do this? By combining the best terms of debit, credit and savings. What do they tell their customers?....The option is completely yours. Want to receive cashback? Want to split your payments?....Sure thing, they can do that. + + + + +2 years into launching, over 4-million customers are now using the product. No one's blowing smoke around here... they're only Europe's fastest growing Finance company! + +With continuous growth scheduled and a range of exciting projects in the works... here's how you could impact the journey as a Mid/Senior Front-End Engineer: + + + + +Day-to-day responsibilities will include: + + + + +Working closely with the in-house UX team, you will work on high-performant components +The components are linked with an internal CMS which feeds into both web and mobile - B2B web application +You are comfortable leading initiatives. Equally, collaborating with cross-functional teams +Show willingness to work with back-end API's + + + + +What we’re looking for: + + + + +React/TypeScript +React Native (a must) +AWS Serverless deployment - not critical but any experience working with Lambda's is a nice to have +E-commerce and/or payments experience + + + + +This interview stage will consist of 3 stages. An initial call with the hiring manager followed by a 2nd stage ""walk through"" of a piece of work you are particularly excited with/proud of. 3rd stage is 30min chat with the CTO. + + + + +If the above is you...please apply now and I will follow up accordingly + +Show more ","
+ + + + + +
+
+

Mid/Senior Front-End Engineer


Location: London - Hybrid (3 days per week)

Salary: £70,000 - £80,000 + Share Options + Benefits

Reporting into: Engineering Manager


WeDo have partnered with a payment tech company on a mission to create the most empowering and flexible way to pay. How do they do this? By combining the best terms of debit, credit and savings. What do they tell their customers?....The option is completely yours. Want to receive cashback? Want to split your payments?....Sure thing, they can do that.


2 years into launching, over 4-million customers are now using the product. No one's blowing smoke around here... they're only Europe's fastest growing Finance company!

With continuous growth scheduled and a range of exciting projects in the works... here's how you could impact the journey as a Mid/Senior Front-End Engineer:


Day-to-day responsibilities will include:


  • Working closely with the in-house UX team, you will work on high-performant components
  • The components are linked with an internal CMS which feeds into both web and mobile - B2B web application
  • You are comfortable leading initiatives. Equally, collaborating with cross-functional teams
  • Show willingness to work with back-end API's


What we’re looking for:


  • React/TypeScript
  • React Native (a must)
  • AWS Serverless deployment - not critical but any experience working with Lambda's is a nice to have
  • E-commerce and/or payments experience


This interview stage will consist of 3 stages. An initial call with the hiring manager followed by a 2nd stage ""walk through"" of a piece of work you are particularly excited with/proud of. 3rd stage is 30min chat with the CTO.


If the above is you...please apply now and I will follow up accordingly

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3970932398,https://uk.linkedin.com/jobs/view/junior-data-scientist-at-chambers-and-partners-3970932398?position=45&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=lGJhhHpkmJ%2BMy3S9UqAY3g%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Scientist,Chambers and Partners,"London Area, United Kingdom","Are you passionate about data and keen develop your career as a Junior Data Scientist? + + + + +We are looking for an individual to be instrumental in defining, designing, and delivering Data Science, Advanced Analytics & AI/ML products, preferably you will have an understanding some experience and use of research B2B and proprietary datasets. + + + + +A brand new role, your role will involve working on advanced analytics and ML projects, learning from other team members, and understanding the “domain” by interacting with non-data scientists in the wider team. Overall, you will be driving innovation and delivering value through cutting-edge data-driven solutions working with more experienced Data Scientists, Data Engineers, Analysts and Business Stakeholders. + + + + +You’ll be working with key teams in Chambers, mainly: Product, Research, Tech to explore topics, uncover value and deliver actionable insights. They will also be responsible for taking Data Science and Advanced Analytics ideas from PoC to MVP as part of a cross-functional team, with particular focus on explain-ability, and iterative development. + + + + +In addition, you will provide expertise contribute to Data Science for Projects they are working on, but also act as a point of contact for Analytics and Statistics questions from across the wider organisation. + + + + +Key Responsibilities: + +Work closely with various teams to identify and address data analysis needs +Collect, clean, and process data from diverse sources, utilising Python and SQL for comprehensive initial analysis +Conduct exploratory data work, using machine learning and statistical techniques where appropriate to uncover insights that can guide evolution of our products and operations +Develop and maintain dashboards, reports and web applications to deliver insight and enable teams to self-serve their data needs +Productionise data science insights as APIs to help integrate directly into our systems +Engage with generative AI technologies to identify innovative solutions and enhance our data analysis capabilities +Stay informed about the latest trends in data science continuously bringing fresh ideas to our team +Develop and deploy data science models and solutions using cloud-based platforms +Collaborate with designers, Tech colleagues and expert users to come up with engaging ways to visualise data and outliers / exceptions for non-technical audiences +Design and develop novel ways to showcase and highlight key analysis from complex data sets, including joining across datasets which do not perfectly match +Create and present progress reports and ad-hoc analysis to the key stakeholders and teams +Constantly think about and explain to stakeholders how analytics “product” could be refined and productionised in future +Help us understand our customers (both internal and external) better so we can provide the right solutions to the right people, including proactively suggesting solutions for nebulous problems +Be responsible for end-to-end Data Science life-cycle in specific projects: analysis of data, from data cleaning to extracting insights and recommending production approaches + + + + +Skills and experience: + +Delivering advanced analytics projects and/or assets in industry and/or professional services +Proficiency in programming languages such as Python or R, and some experience with ML algorithms and models +Experience of working in Azure / Microsoft technical environments is considered a real plus +Proven understanding of data science methods used for analysing and making sense of Research data outputs and ideally survey data sets +Solid understanding of statistics with solid grounding ideally through both education and experience +Experience in creating, deploying and tuning complex, non-linear predictive models to solve business problems using Python and associated Data Science tooling +Exposure and knowledge of big data concepts, strategies, methodologies and tools such as MongoDB, Snowflake, Spark or Hadoop +Experience in technical communication with peers and non-technical stakeholders + + + + +Personal specification + +University qualification in Mathematics, Computer Science, Statistics or another quantitative field, MSc preferred +Demonstrable postgraduate relevant Data Science experience in a commercial environment or completed a PhD with one year’s relevant industry engagement or research experience in a Data Science role +Proven aptitude to learn new tools, technologies, and methodologies +Understanding of requirements for software engineering and data governance in data science +Ability to translate complex analysis findings into a clear story and actionable insights +Work with client-facing and Tech teams to make sure that they fully understand the right data is being collected with sufficient quality and stored in an easy to analyse / reporting format +Experience presenting analysis and insights to audiences from varying skill sets and backgrounds +An eagerness to learn and grow within the analytics and data science fields +Ability to work collaboratively in a team environment + + + + +Nice to have: + +experience working with market research methods and market research datasets +experience in the professional services or legal sector + + + + +Equal Opportunity Statement + +We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview. + +Show more ","
+ + + + + +
+
+

Are you passionate about data and keen develop your career as a Junior Data Scientist?


We are looking for an individual to be instrumental in defining, designing, and delivering Data Science, Advanced Analytics & AI/ML products, preferably you will have an understanding some experience and use of research B2B and proprietary datasets.


A brand new role, your role will involve working on advanced analytics and ML projects, learning from other team members, and understanding the “domain” by interacting with non-data scientists in the wider team. Overall, you will be driving innovation and delivering value through cutting-edge data-driven solutions working with more experienced Data Scientists, Data Engineers, Analysts and Business Stakeholders.


You’ll be working with key teams in Chambers, mainly: Product, Research, Tech to explore topics, uncover value and deliver actionable insights. They will also be responsible for taking Data Science and Advanced Analytics ideas from PoC to MVP as part of a cross-functional team, with particular focus on explain-ability, and iterative development.


In addition, you will provide expertise contribute to Data Science for Projects they are working on, but also act as a point of contact for Analytics and Statistics questions from across the wider organisation.


Key Responsibilities:

  • Work closely with various teams to identify and address data analysis needs
  • Collect, clean, and process data from diverse sources, utilising Python and SQL for comprehensive initial analysis
  • Conduct exploratory data work, using machine learning and statistical techniques where appropriate to uncover insights that can guide evolution of our products and operations
  • Develop and maintain dashboards, reports and web applications to deliver insight and enable teams to self-serve their data needs
  • Productionise data science insights as APIs to help integrate directly into our systems
  • Engage with generative AI technologies to identify innovative solutions and enhance our data analysis capabilities
  • Stay informed about the latest trends in data science continuously bringing fresh ideas to our team
  • Develop and deploy data science models and solutions using cloud-based platforms
  • Collaborate with designers, Tech colleagues and expert users to come up with engaging ways to visualise data and outliers / exceptions for non-technical audiences
  • Design and develop novel ways to showcase and highlight key analysis from complex data sets, including joining across datasets which do not perfectly match
  • Create and present progress reports and ad-hoc analysis to the key stakeholders and teams
  • Constantly think about and explain to stakeholders how analytics “product” could be refined and productionised in future
  • Help us understand our customers (both internal and external) better so we can provide the right solutions to the right people, including proactively suggesting solutions for nebulous problems
  • Be responsible for end-to-end Data Science life-cycle in specific projects: analysis of data, from data cleaning to extracting insights and recommending production approaches


Skills and experience:

  • Delivering advanced analytics projects and/or assets in industry and/or professional services
  • Proficiency in programming languages such as Python or R, and some experience with ML algorithms and models
  • Experience of working in Azure / Microsoft technical environments is considered a real plus
  • Proven understanding of data science methods used for analysing and making sense of Research data outputs and ideally survey data sets
  • Solid understanding of statistics with solid grounding ideally through both education and experience
  • Experience in creating, deploying and tuning complex, non-linear predictive models to solve business problems using Python and associated Data Science tooling
  • Exposure and knowledge of big data concepts, strategies, methodologies and tools such as MongoDB, Snowflake, Spark or Hadoop
  • Experience in technical communication with peers and non-technical stakeholders


Personal specification

  • University qualification in Mathematics, Computer Science, Statistics or another quantitative field, MSc preferred
  • Demonstrable postgraduate relevant Data Science experience in a commercial environment or completed a PhD with one year’s relevant industry engagement or research experience in a Data Science role
  • Proven aptitude to learn new tools, technologies, and methodologies
  • Understanding of requirements for software engineering and data governance in data science
  • Ability to translate complex analysis findings into a clear story and actionable insights
  • Work with client-facing and Tech teams to make sure that they fully understand the right data is being collected with sufficient quality and stored in an easy to analyse / reporting format
  • Experience presenting analysis and insights to audiences from varying skill sets and backgrounds
  • An eagerness to learn and grow within the analytics and data science fields
  • Ability to work collaboratively in a team environment


Nice to have:

  • experience working with market research methods and market research datasets
  • experience in the professional services or legal sector


Equal Opportunity Statement

We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-09,[] +3988104207,https://uk.linkedin.com/jobs/view/data-scientist-at-omnis-partners-3988104207?position=46&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=YjzSk898FLUL2n%2FANIN6SQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Omnis Partners,"London Area, United Kingdom","Consultant - Data Science + +Technology-led Management Consultancy + + + + + + + +💸 £55k - £75k + +🏠 Hybrid / London office / Travel required + + + + + + + +I’m currently partnered with a leading consulting firm specializing in providing technology consultancy and business process outsourcing services. With a global presence and a reputation for supporting their employees with growth, training and professional development, they partner with clients to embed technology-led solutions and achieve improved business performance. + + + + + + + +You will be designing and executing data science solutions to solve a variety of business problems and enhance business performance for a wide array of clients. You will work collaborating with cross-functional teams to deliver innovative machine learning and AI projects. + + + + + + + +You will leverage advanced technical skills in coding and modelling as well as supporting client relationships and identifying further commercial opportunities for data science and AI work. + + + + + + + +Typical projects relate to pricing and promotion, customer engagement, supply chain and logistics and optimising and automating enterprise operational efficiencies. + + + + + + + +We are looking for passionate and engaging Data Scientists, who can delight, inspire and enable non-technical stakeholders, with their exceptional problem-solving skills and ability to deliver impactful commercial results. + + + + + + + +Skills & experience required: + +Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. +Experience in management consultancy is strongly preferred from the likes of Accenture, BGC Gamma, CapGemini Invent, QuantumBlack, KPMG, PA Consulting, although similar industry-side consultative experience will be considered. +Proven hands-on experience in data science required, with the ability to code and model to a strong level across machine learning and GenAI +Confident in working with senior stakeholders to understand requirements and in turn build meaningful and impactful data science and AI solutions. +Ideally experience across one or a combination of the following sectors; Retail, Banking, Insurance, Healthcare/Pharmaceutical is strongly preferred. + +Show more ","
+ + + + + +
+
+

Consultant - Data Science

Technology-led Management Consultancy



💸 £55k - £75k

🏠 Hybrid / London office / Travel required



I’m currently partnered with a leading consulting firm specializing in providing technology consultancy and business process outsourcing services. With a global presence and a reputation for supporting their employees with growth, training and professional development, they partner with clients to embed technology-led solutions and achieve improved business performance.



You will be designing and executing data science solutions to solve a variety of business problems and enhance business performance for a wide array of clients. You will work collaborating with cross-functional teams to deliver innovative machine learning and AI projects.



You will leverage advanced technical skills in coding and modelling as well as supporting client relationships and identifying further commercial opportunities for data science and AI work.



Typical projects relate to pricing and promotion, customer engagement, supply chain and logistics and optimising and automating enterprise operational efficiencies.



We are looking for passionate and engaging Data Scientists, who can delight, inspire and enable non-technical stakeholders, with their exceptional problem-solving skills and ability to deliver impactful commercial results.



Skills & experience required:

  • Educated to degree level in a quantitative subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc.
  • Experience in management consultancy is strongly preferred from the likes of Accenture, BGC Gamma, CapGemini Invent, QuantumBlack, KPMG, PA Consulting, although similar industry-side consultative experience will be considered.
  • Proven hands-on experience in data science required, with the ability to code and model to a strong level across machine learning and GenAI
  • Confident in working with senior stakeholders to understand requirements and in turn build meaningful and impactful data science and AI solutions.
  • Ideally experience across one or a combination of the following sectors; Retail, Banking, Insurance, Healthcare/Pharmaceutical is strongly preferred.

+
+ + + + + + + + + + + + + + + + + + +
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",2024-07-30,[] +3970764868,https://uk.linkedin.com/jobs/view/graduate-data-scientist-at-grayce-3970764868?position=48&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=UB1yJjiZJY%2B9Fyiq0EnVUQ%3D%3D&trk=public_jobs_jserp-result_search-card,Graduate Data Scientist,GRAYCE,"London Area, United Kingdom"," + + +Job Position: Graduate Data Scientist – via the Digital Graduate Programme + +Location: Cambridge or London + +Starting Salary: £26,800 + +Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject and experience in analysing data + +Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. + + + + + + + +Change and transformation for the world’s most ambitious organisations + + + + +Grayce partners with some of the world’s most ambitious organisations to help deliver change and transformation. + + + + +With over a decade’s experience developing and deploying high-performing talent for our FTSE 100 & 250 partners, our Accelerated Development Programme has enabled thousands of talented individuals to launch successful careers. + + + + +As a change and transformation consultancy, we offer a Business and Digital development pathway. On the Digital programme you could work in Data, DevOps, Software or a Hybrid role within these disciplines. + + + + +Join us and shape your future! + + + + + + + +The Role + +Day To Day: Utilising statistics, scientific computing, scientific methods, processes, algorithms and systems to extract knowledge and insights from data. + +Accreditations: BCS Foundation, Agile Practitioner, CMI Level 5 plus flexible training budget + +Skill Set: Attention to detail, problem solving, machine learning experience, programming capabilities, project management + + + + + + + +Why Grayce? + +Our Analysts are actively involved in major global transformation programmes across diverse industries. + +Opportunity: Over the course of 4 years, you'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience working directly with prestigious FTSE100, 250, and 500 organisations + +Mentoring: Thrive under the guidance of our experienced coaches and Technical Trainers. They’ll be your go-to, offering support, insights, sharing experiences + +Community: Grayce doesn’t just talk about diversity and inclusion; we live and breathe it. Our community is built around an environment that values your unique perspective + + + + + + + +What makes a great Grayce Analyst + +2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. + +Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. + +Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. + +Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. + + + + + + + +Why work for us? + +Competitive Salary: Starting at £26,800 with potential for significant growth in three years + +Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career + +Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce + +Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing + +Show more ","
+ + + + + +
+
+

Job Position: Graduate Data Scientist – via the Digital Graduate Programme

Location: Cambridge or London

Starting Salary: £26,800

Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject and experience in analysing data

Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.



Change and transformation for the world’s most ambitious organisations


Grayce partners with some of the world’s most ambitious organisations to help deliver change and transformation.


With over a decade’s experience developing and deploying high-performing talent for our FTSE 100 & 250 partners, our Accelerated Development Programme has enabled thousands of talented individuals to launch successful careers.


As a change and transformation consultancy, we offer a Business and Digital development pathway. On the Digital programme you could work in Data, DevOps, Software or a Hybrid role within these disciplines.


Join us and shape your future!



The Role

Day To Day: Utilising statistics, scientific computing, scientific methods, processes, algorithms and systems to extract knowledge and insights from data.

Accreditations: BCS Foundation, Agile Practitioner, CMI Level 5 plus flexible training budget

Skill Set: Attention to detail, problem solving, machine learning experience, programming capabilities, project management



Why Grayce?

Our Analysts are actively involved in major global transformation programmes across diverse industries.

Opportunity: Over the course of 4 years, you'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience working directly with prestigious FTSE100, 250, and 500 organisations

Mentoring: Thrive under the guidance of our experienced coaches and Technical Trainers. They’ll be your go-to, offering support, insights, sharing experiences

Community: Grayce doesn’t just talk about diversity and inclusion; we live and breathe it. Our community is built around an environment that values your unique perspective



What makes a great Grayce Analyst

2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage.

Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you.

Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application.

Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process.



Why work for us?

Competitive Salary: Starting at £26,800 with potential for significant growth in three years

Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career

Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce

Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing

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",2024-07-23,[] +3980017613,https://uk.linkedin.com/jobs/view/nlp-data-scientist-at-xcede-3980017613?position=49&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=4rC6xxfkOBbz06GZdr112Q%3D%3D&trk=public_jobs_jserp-result_search-card,NLP Data Scientist,Xcede,"London Area, United Kingdom","Senior Data Scientist + +(London – 2 days in office per week) + + + + +Xcede are delighted to be working with one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals. + + + + +This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context. + + + + +Responsibilities + + + + +Helping to define and implement NLP-led projects within the core Product. +Work with the ML Engineering team to help productionise and scale the algorithms. +Mentor junior team members + + + + +Requirements + + + + +Strong academic background in a relevant field (Statistics, Computer Science, etc.) +Significant experience utilising NLP in a commercial setting, ideally for information extraction, entity recognition, etc. +Experience working with transformers-based models such as BERT, GPT, etc. +Extensive Deep Learning & Machine Learning knowledge. +Usage of LLMs in a commercial environment is a bonus. +PyTorch experience a major bonus – other ML frameworks are also accepted. +Docker & Kubernetes experience is a bonus. + + + + + + + +If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review). + +Show more ","
+ + + + + +
+
+

Senior Data Scientist

(London – 2 days in office per week)


Xcede are delighted to be working with one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals.


This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context.


Responsibilities


  • Helping to define and implement NLP-led projects within the core Product.
  • Work with the ML Engineering team to help productionise and scale the algorithms.
  • Mentor junior team members


Requirements


  • Strong academic background in a relevant field (Statistics, Computer Science, etc.)
  • Significant experience utilising NLP in a commercial setting, ideally for information extraction, entity recognition, etc.
  • Experience working with transformers-based models such as BERT, GPT, etc.
  • Extensive Deep Learning & Machine Learning knowledge.
  • Usage of LLMs in a commercial environment is a bonus.
  • PyTorch experience a major bonus – other ML frameworks are also accepted.
  • Docker & Kubernetes experience is a bonus.



If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

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",2024-07-22,[] +3981275756,https://uk.linkedin.com/jobs/view/data-scientist-at-selby-jennings-3981275756?position=53&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=ETV5ooSQp1xTHXFfMkJC4w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Selby Jennings,"London Area, United Kingdom","Our client is a global leader in food & beverage consumer trends, specializing in sustainable, natural, and plant-based ingredients and solutions. Catering to large, attractive, and rapidly growing end-use categories, they generated an impressive £12 billion in revenue last year. They are currently seeking a Data Scientist to join their team in London. + + + + +Work Arrangement: Hybrid (2 days in the office) + +Sponsorship: Not available + +Perks: Fancy lunch and drinks on Fridays + +Salary: From £70k - £120k+ + +Interview Process: 2 rounds with no coding tests involved + + + + +Key Responsibilities: + + + + +Maintain and develop the Value-at-Risk (VaR) model for commodity and currency exposures using Python. +Develop a user interface for end-users. +Engage with Business Unit stakeholders to understand needs and scope risk-related projects. +Perform data analysis and visualization to identify patterns and insights in traded markets and positions. +Apply and refine analytical/machine learning models to solve business problems. +Implement and communicate model results and visualizations to drive business value. + + + + +Ideal Candidate: + + + + +STEM degree with strong coding skills. +3+ years of data science experience with real-world data. +Proficient in Python, SQL, and other data science tools. +Strong understanding of VaR modeling, stress testing, and financial derivatives. +Experience in time series modeling. +Skilled in visualizing complex data for diverse audiences. +Advanced qualifications in mathematics, statistics, and machine learning preferred. + +Show more ","
+ + + + + +
+
+

Our client is a global leader in food & beverage consumer trends, specializing in sustainable, natural, and plant-based ingredients and solutions. Catering to large, attractive, and rapidly growing end-use categories, they generated an impressive £12 billion in revenue last year. They are currently seeking a Data Scientist to join their team in London.


Work Arrangement: Hybrid (2 days in the office)

Sponsorship: Not available

Perks: Fancy lunch and drinks on Fridays

Salary: From £70k - £120k+

Interview Process: 2 rounds with no coding tests involved


Key Responsibilities:


  • Maintain and develop the Value-at-Risk (VaR) model for commodity and currency exposures using Python.
  • Develop a user interface for end-users.
  • Engage with Business Unit stakeholders to understand needs and scope risk-related projects.
  • Perform data analysis and visualization to identify patterns and insights in traded markets and positions.
  • Apply and refine analytical/machine learning models to solve business problems.
  • Implement and communicate model results and visualizations to drive business value.


Ideal Candidate:


  • STEM degree with strong coding skills.
  • 3+ years of data science experience with real-world data.
  • Proficient in Python, SQL, and other data science tools.
  • Strong understanding of VaR modeling, stress testing, and financial derivatives.
  • Experience in time series modeling.
  • Skilled in visualizing complex data for diverse audiences.
  • Advanced qualifications in mathematics, statistics, and machine learning preferred.

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",2024-07-23,[] +3983570264,https://uk.linkedin.com/jobs/view/cairo-developer-at-nethermind-3983570264?position=54&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=%2B6aqzs2T9MkrZUsGykzetg%3D%3D&trk=public_jobs_jserp-result_search-card,Cairo Developer,Nethermind,"London, England, United Kingdom","What are we all about? + +We are a team of builders and researchers on a mission to empower enterprises and developers worldwide to access and build on decentralized systems. + +Our expertise covers several domains: Ethereum and Starknet protocol engineering, layer-2, cryptography research, protocol research, decentralized finance (DeFi), security auditing, formal verification, real-time monitoring, smart contract development, and dapps and enterprise engineering. + +Working to solve some of the most challenging problems in the blockchain space, we frequently collaborate with, such as Ethereum Foundation, Starknet Foundation, Gnosis Chain, Flashbots, Forta Protocol, Lido, EigenLayer, Open Zeppelin, RISCZero, Aleph Zero, and many more. + +Today, we are a 350+ strong team working remotely across 66+ countries. + +View all our open positions here: https://www.nethermind.io/open-roles + +Are you the one? + +If you've envisioned yourself at the forefront of AI and ZK innovation, then Nethermind offers the perfect opportunity to transform that vision into reality. + +Nethermind is a Blockchain Research and Software Engineering company. We empower enterprises and developers worldwide to access and build on the decentralized web. Our work touches every part of the blockchain ecosystem - from fundamental cryptography research to application-layer protocol development. + +We are currently seeking talented and passionate Cairo Developers to join our growing AI and ZK group. Successful candidates will research, design, develop and optimize protocols and applications fundamental to the advancement of Ethereum, Starknet and Web3. + +Responsibilities: + + +Design and implement scalable and secure smart contracts, decentralized applications (dApps), and ZK protocols using the Cairo programming language. +Collaborate closely with cross-functional teams, including cryptographers, mathematicians, and blockchain engineers, to develop and integrate advanced cryptographic primitives and algorithms. +Optimize Cairo code for performance, gas efficiency, and security, ensuring the scalability and cost-effectiveness of our solutions. +Contribute to the development and enhancement of Cairo tooling, compilers, and documentation to improve the developer experience. +Stay up-to-date with the latest advancements in blockchain technology, cryptography, and the Ethereum ecosystem, actively participating in relevant communities and conferences. + + +Skills: + + +Proven experience and proficiency in developing smart contracts using Cairo. +Strong understanding of cryptography, zero-knowledge proofs, and their applications in blockchain technology. +Familiarity with the Ethereum ecosystem, including EVM, Layer 2 scaling solutions, and Web3 technologies. +Excellent problem-solving, analytical, and critical thinking skills. +Strong communication and collaboration abilities, with the ability to work effectively in a team environment. +Passion for decentralized technologies, cryptography, and the potential of Web3 to revolutionize various industries. + + +Nice to have: + + +Familiarity with zk proof systems (ZK-STARK, ZK-SNARKs) +Cryptography background +Mathematics Background +Having activity on GitHub is a significant advantage (please include links to projects or PRs that you have submitted to external projects) + + +Disclaimer: I hereby consent to my personal information being stored and processed by Demerzel Solutions Limited (t/a Nethermind) (the ""Company"") for recruitment purposes in relation to both the selected job role and any other role the Company considers me a qualified candidate for. All data storing and processing by the Company takes place in accordance with the UK GDPR. Kindly refer to our privacy policy for more details. + +Your consent to share personal information is entirely voluntary, and you may withdraw your consent at any time. Should you have any questions about this process, or wish to withdraw your consent please contact: legalnotices@nethermind.io + +Keep up to date on what we are working on by following us on our social channels + + + +Click here to view our Privacy Policy. +Show more ","
+ + + + + +
+
+ What are we all about?

We are a team of builders and researchers on a mission to empower enterprises and developers worldwide to access and build on decentralized systems.

Our expertise covers several domains: Ethereum and Starknet protocol engineering, layer-2, cryptography research, protocol research, decentralized finance (DeFi), security auditing, formal verification, real-time monitoring, smart contract development, and dapps and enterprise engineering.

Working to solve some of the most challenging problems in the blockchain space, we frequently collaborate with, such as Ethereum Foundation, Starknet Foundation, Gnosis Chain, Flashbots, Forta Protocol, Lido, EigenLayer, Open Zeppelin, RISCZero, Aleph Zero, and many more.

Today, we are a 350+ strong team working remotely across 66+ countries.

View all our open positions here: https://www.nethermind.io/open-roles

Are you the one?

If you've envisioned yourself at the forefront of AI and ZK innovation, then Nethermind offers the perfect opportunity to transform that vision into reality.

Nethermind is a Blockchain Research and Software Engineering company. We empower enterprises and developers worldwide to access and build on the decentralized web. Our work touches every part of the blockchain ecosystem - from fundamental cryptography research to application-layer protocol development.

We are currently seeking talented and passionate Cairo Developers to join our growing AI and ZK group. Successful candidates will research, design, develop and optimize protocols and applications fundamental to the advancement of Ethereum, Starknet and Web3.

Responsibilities:

  • Design and implement scalable and secure smart contracts, decentralized applications (dApps), and ZK protocols using the Cairo programming language.
  • Collaborate closely with cross-functional teams, including cryptographers, mathematicians, and blockchain engineers, to develop and integrate advanced cryptographic primitives and algorithms.
  • Optimize Cairo code for performance, gas efficiency, and security, ensuring the scalability and cost-effectiveness of our solutions.
  • Contribute to the development and enhancement of Cairo tooling, compilers, and documentation to improve the developer experience.
  • Stay up-to-date with the latest advancements in blockchain technology, cryptography, and the Ethereum ecosystem, actively participating in relevant communities and conferences.

Skills:

  • Proven experience and proficiency in developing smart contracts using Cairo.
  • Strong understanding of cryptography, zero-knowledge proofs, and their applications in blockchain technology.
  • Familiarity with the Ethereum ecosystem, including EVM, Layer 2 scaling solutions, and Web3 technologies.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong communication and collaboration abilities, with the ability to work effectively in a team environment.
  • Passion for decentralized technologies, cryptography, and the potential of Web3 to revolutionize various industries.

Nice to have:

  • Familiarity with zk proof systems (ZK-STARK, ZK-SNARKs)
  • Cryptography background
  • Mathematics Background
  • Having activity on GitHub is a significant advantage (please include links to projects or PRs that you have submitted to external projects)

Disclaimer: I hereby consent to my personal information being stored and processed by Demerzel Solutions Limited (t/a Nethermind) (the ""Company"") for recruitment purposes in relation to both the selected job role and any other role the Company considers me a qualified candidate for. All data storing and processing by the Company takes place in accordance with the UK GDPR. Kindly refer to our privacy policy for more details.

Your consent to share personal information is entirely voluntary, and you may withdraw your consent at any time. Should you have any questions about this process, or wish to withdraw your consent please contact: legalnotices@nethermind.io

Keep up to date on what we are working on by following us on our social channels



Click here to view our Privacy Policy. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3989168144,https://uk.linkedin.com/jobs/view/data-scientist-at-la-fosse-3989168144?position=56&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=zGrLB%2B2yvs5ZpRQhztjTwA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,La Fosse,"London Area, United Kingdom","Data Scientist + +Paying up to £75k + 10% bonus +Remote first policy – Office in Central London if preferred. + + + + +One of La Fosse’s best clients who are an industry leader within the entertainment/ticketing industry are currently hiring for a talented Data Scientist to join the team. + + + + +Even though this company are a global brand, you will be joining a small team of 3/4 and will have a lot of responsibility and play a leading role in rolling out their 3-year project plan, in which they have just launched their first model this year across the UK and USA. This is a pivotal time for the business, and you will help transform the data science capabilities as they build a new cloud-based Data Platform. + + + + +As a Data Scientist, you will leverage their extensive quest data to enhance pricing decisions through dynamic pricing models, supporting the revenue management teams, below are the extended responsibilities: + + + + +Key Responsibilities: + +Develop and enhance the revenue management application. +Utilize our data platform to support and automate decision-making processes. +Forecast customer demand and evaluate the impact of various price management models. +Create visualisations and dashboards to communicate analysis and model outputs. +Collaborate across the business to automate data science and machine learning applications. +Actively participate in our data community to build new capabilities. + + + + +Job requirements: + +Experience in pricing optimisation and demand forecasting. +Analytical skills to transform complex data into actionable insights aligned with business KPIs. +Strong statistical and modelling skills, including time series and ensemble models. +Experience in manipulating and interpreting data from disparate sources. +Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. +Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. +Creativity and innovative thinking to explore diverse data sources for improved predictive models. + + + + +Desirable: + +Experience in a similar industry with limited capacity and variable demand. +Ability to autonomously tackle complex problems with a solution-driven approach. + + + + +If you’re interested in this role and feel you fit the requirements, apply through the AD to find out more! + + + + +Data Scientist + +Show more ","
+ + + + + +
+
+

Data Scientist

  • Paying up to £75k + 10% bonus
  • Remote first policy – Office in Central London if preferred.


One of La Fosse’s best clients who are an industry leader within the entertainment/ticketing industry are currently hiring for a talented Data Scientist to join the team.


Even though this company are a global brand, you will be joining a small team of 3/4 and will have a lot of responsibility and play a leading role in rolling out their 3-year project plan, in which they have just launched their first model this year across the UK and USA. This is a pivotal time for the business, and you will help transform the data science capabilities as they build a new cloud-based Data Platform.


As a Data Scientist, you will leverage their extensive quest data to enhance pricing decisions through dynamic pricing models, supporting the revenue management teams, below are the extended responsibilities:


Key Responsibilities:

  • Develop and enhance the revenue management application.
  • Utilize our data platform to support and automate decision-making processes.
  • Forecast customer demand and evaluate the impact of various price management models.
  • Create visualisations and dashboards to communicate analysis and model outputs.
  • Collaborate across the business to automate data science and machine learning applications.
  • Actively participate in our data community to build new capabilities.


Job requirements:

  • Experience in pricing optimisation and demand forecasting.
  • Analytical skills to transform complex data into actionable insights aligned with business KPIs.
  • Strong statistical and modelling skills, including time series and ensemble models.
  • Experience in manipulating and interpreting data from disparate sources.
  • Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc.
  • Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS.
  • Creativity and innovative thinking to explore diverse data sources for improved predictive models.


Desirable:

  • Experience in a similar industry with limited capacity and variable demand.
  • Ability to autonomously tackle complex problems with a solution-driven approach.


If you’re interested in this role and feel you fit the requirements, apply through the AD to find out more!


Data Scientist

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3980982726,https://uk.linkedin.com/jobs/view/data-scientist-at-techyard-recruitment-3980982726?position=59&pageNum=0&refId=4Wc8xLISxEPMaKm%2BwV6KGQ%3D%3D&trackingId=mfw02jg5Kk2XzUsrbTXzhQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,TechYard Recruitment,"London Area, United Kingdom","Unlock the next chapter in your career as a Data Scientist specialising in the development of machine learning tools for Robotic Process Automation (RPA) applications. + + + + +Imagine the satisfaction of contributing to cutting-edge projects that streamline business processes and enhance operational efficiency. This position provides the platform to utilise your expertise in data science and machine learning, while also offering the flexibility to maintain a healthy work-life balance. + + + + +The successful candidate will be instrumental in designing, developing, and deploying machine learning models that drive automation solutions. This role demands a deep understanding of data analysis, statistical modelling, and algorithm development. Your work will directly impact the efficiency and effectiveness of RPA applications, making a tangible difference in the way businesses operate. + + + + +Key responsibilities include: + + + + +- Developing and implementing machine learning models tailored for RPA applications. + +- Collaborating with cross-functional teams to identify automation opportunities. + +- Analysing large datasets to extract actionable insights. + +- Continuously improving existing models to enhance performance and accuracy. + +- Communicating complex technical concepts to non-technical stakeholders. + + + + +The ideal candidate will possess: + + + + +- A strong background in data science, with a focus on machine learning. + +- Proficiency in programming languages such as Python or R. + +- Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn). + +- Familiarity with RPA tools and platforms would + +- Excellent problem-solving skills and a keen analytical mindset. + +- Strong communication skills and the ability to work collaboratively in a team environment. + + + + +Joining this dynamic team means becoming part of an innovative environment where your skills and ideas are valued. This role not only promises professional growth but also the chance to be at the forefront of technological advancements in RPA and Data Science. + +Show more ","
+ + + + + +
+
+

Unlock the next chapter in your career as a Data Scientist specialising in the development of machine learning tools for Robotic Process Automation (RPA) applications.


Imagine the satisfaction of contributing to cutting-edge projects that streamline business processes and enhance operational efficiency. This position provides the platform to utilise your expertise in data science and machine learning, while also offering the flexibility to maintain a healthy work-life balance.


The successful candidate will be instrumental in designing, developing, and deploying machine learning models that drive automation solutions. This role demands a deep understanding of data analysis, statistical modelling, and algorithm development. Your work will directly impact the efficiency and effectiveness of RPA applications, making a tangible difference in the way businesses operate.


Key responsibilities include:


- Developing and implementing machine learning models tailored for RPA applications.

- Collaborating with cross-functional teams to identify automation opportunities.

- Analysing large datasets to extract actionable insights.

- Continuously improving existing models to enhance performance and accuracy.

- Communicating complex technical concepts to non-technical stakeholders.


The ideal candidate will possess:


- A strong background in data science, with a focus on machine learning.

- Proficiency in programming languages such as Python or R.

- Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn).

- Familiarity with RPA tools and platforms would

- Excellent problem-solving skills and a keen analytical mindset.

- Strong communication skills and the ability to work collaboratively in a team environment.


Joining this dynamic team means becoming part of an innovative environment where your skills and ideas are valued. This role not only promises professional growth but also the chance to be at the forefront of technological advancements in RPA and Data Science.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3972316432,https://uk.linkedin.com/jobs/view/ai-engineer-at-esure-group-3972316432?position=1&pageNum=2&refId=rKvK23Q8MLdRYYrqcKDI5g%3D%3D&trackingId=L%2BGD2aPr99drrh%2F3ZIQs3w%3D%3D&trk=public_jobs_jserp-result_search-card,AI Engineer,esure Group,"Reigate, England, United Kingdom","Company Description + + + + +Here at esure, we’re no strangers to change. As one of the industry leaders in the insurance business, striving to become a world class digital insurer, we’re getting ready for more. It’s creating great new opportunities for innovative and talented industry professionals to join us at a pivotal point in our development. + + + + +Job Description + + + + +We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. + +You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. + + + + +The day to day: + +Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. +Support the data science and AI team in deploying scalable AI applications across the enterprise. +Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. +Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. +Develop prompts, fine-tune models, and track results. +Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. +Deliver projects from scoping and R&D to production deployment and benefit measurement. +Follow and contribute to standards for code quality, R&D, and model development. +Engineer data for optimal AI application performance. +Advise peers and senior management on business and customer impact. +Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. +Liaise with third-party partners and stay updated on field advancements and regulations. +Collaborate with data governance and data management teams on data requirements. + + + + +Qualifications + +You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. +You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. +PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, +Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, +Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. +Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. +Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. +Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. +Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. +Knowledge of OO programming and software design, i.e., SOLID principles. +Knowledge and working experience of AGILE methodologies. +Familiarity with Databricks, and RAG application architecture a plus +Experience with latency optimisation and quantisation preferred + + + + +Why choose us? + +This is your opportunity to be at the forefront of our game-changing journey and be part of something truly special! And to top it off, here are some perks to life at esure… + +A competitive salary that recognises your skills and potential +A bonus scheme that celebrates your contribution to esure’s success +Discounts on our insurance products, for you and your family +25 days annual leave, plus 8 flex days to be taken as and when suits you +Benefits just for you: our hub – My Benefits Box – is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. +Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech. +Join our communities: our networks give you the chance to connect, learn and share with like-minded colleagues across the business – for work and play. So, it’s no surprise our people consistently rate ‘making friends at work’ one of the highest scorers in our colleague engagement survey +More flexibility for you: we’re a proud supporter of the ABI’s Make Flexible Work campaign and welcome you to ask about the flexibility you need, whether it’s part time, job sharing, or compressed hours. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. +Live a healthy lifestyle: we offer lots of support, so you feel like the best version of yourself – like specialist advice through our employee assistance programme, wellbeing classes, access to the My Health Advantage app, our Big Team Challenge, and learning sessions on topics like menopause. +A helping hand to do your bit for a greener and safer world: driving good in the world couldn’t be more important to us. That’s why we encourage colleagues to use volunteering days to support their local communities and have lots of initiatives to help you live a greener lifestyle. +Everyday appreciation: praise from your colleagues means the world! Our social recognition tool makes it easy to give colleagues the praise they deserve, and you could even be shortlisted for a company-wide ACE Award. + + + + +We understand some people may not apply for jobs unless they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure we would love to hear from you. + +Show more ","
+ + + + + +
+
+

Company Description


Here at esure, we’re no strangers to change. As one of the industry leaders in the insurance business, striving to become a world class digital insurer, we’re getting ready for more. It’s creating great new opportunities for innovative and talented industry professionals to join us at a pivotal point in our development.


Job Description


We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value.

You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good.


The day to day:

  • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits.
  • Support the data science and AI team in deploying scalable AI applications across the enterprise.
  • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS.
  • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries.
  • Develop prompts, fine-tune models, and track results.
  • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis.
  • Deliver projects from scoping and R&D to production deployment and benefit measurement.
  • Follow and contribute to standards for code quality, R&D, and model development.
  • Engineer data for optimal AI application performance.
  • Advise peers and senior management on business and customer impact.
  • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL.
  • Liaise with third-party partners and stay updated on field advancements and regulations.
  • Collaborate with data governance and data management teams on data requirements.


Qualifications

  • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
  • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business.
  • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,
  • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,
  • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
  • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution.
  • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git.
  • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc.
  • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors.
  • Knowledge of OO programming and software design, i.e., SOLID principles.
  • Knowledge and working experience of AGILE methodologies.
  • Familiarity with Databricks, and RAG application architecture a plus
  • Experience with latency optimisation and quantisation preferred


Why choose us?

This is your opportunity to be at the forefront of our game-changing journey and be part of something truly special! And to top it off, here are some perks to life at esure…

  • A competitive salary that recognises your skills and potential
  • A bonus scheme that celebrates your contribution to esure’s success
  • Discounts on our insurance products, for you and your family
  • 25 days annual leave, plus 8 flex days to be taken as and when suits you
  • Benefits just for you: our hub – My Benefits Box – is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
  • Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech.
  • Join our communities: our networks give you the chance to connect, learn and share with like-minded colleagues across the business – for work and play. So, it’s no surprise our people consistently rate ‘making friends at work’ one of the highest scorers in our colleague engagement survey
  • More flexibility for you: we’re a proud supporter of the ABI’s Make Flexible Work campaign and welcome you to ask about the flexibility you need, whether it’s part time, job sharing, or compressed hours. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
  • Live a healthy lifestyle: we offer lots of support, so you feel like the best version of yourself – like specialist advice through our employee assistance programme, wellbeing classes, access to the My Health Advantage app, our Big Team Challenge, and learning sessions on topics like menopause.
  • A helping hand to do your bit for a greener and safer world: driving good in the world couldn’t be more important to us. That’s why we encourage colleagues to use volunteering days to support their local communities and have lots of initiatives to help you live a greener lifestyle.
  • Everyday appreciation: praise from your colleagues means the world! Our social recognition tool makes it easy to give colleagues the praise they deserve, and you could even be shortlisted for a company-wide ACE Award.


We understand some people may not apply for jobs unless they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure we would love to hear from you.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-11,[] +3975256520,https://uk.linkedin.com/jobs/view/python-developer-at-understanding-recruitment-3975256520?position=3&pageNum=2&refId=rKvK23Q8MLdRYYrqcKDI5g%3D%3D&trackingId=6kvEr%2FCN1z5bddqFVb8Jbg%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,Understanding Recruitment,"Greater London, England, United Kingdom","Python Developer – FinTech Analytics + +Salary up to £72k plus Bonus and Excellent Benefits + + + + +Senior Python Developer (FastAPI, Docker, AWS) – We are actively seeking a Python Developer to join our FinTech Analytics Start-up. You will be joining our growing team of multicultural engineers. You will be joining a team who embrace TDD, Clean Code and Refactoring in an agile environment. We are passionate about helping our customers exceed expectations. + + + + +Our Python Developer will be working closely with the CTO, engaging with data scientists, product owners and business team members in addition to fellow engineers on different greenfield data-analytics projects. + + + + +We can offer our Python Developer: + + + + +A rewarding career with a discretionary performance based equity. +Flexible and remote working. +A relaxed environment within the financial technology space. + + + + +We can also offer our Python Developer an environment which is perfect for a true technologist. You will be surrounded by individuals just like yourself. + + + + +Apply now for immediately consideration for this excellent Python Developer opportunity! + + + + +Understanding Recruitment is acting as an employment agency for this Python Developer vacancy. + +Show more ","
+ + + + + +
+
+

Python Developer – FinTech Analytics

Salary up to £72k plus Bonus and Excellent Benefits


Senior Python Developer (FastAPI, Docker, AWS) – We are actively seeking a Python Developer to join our FinTech Analytics Start-up. You will be joining our growing team of multicultural engineers. You will be joining a team who embrace TDD, Clean Code and Refactoring in an agile environment. We are passionate about helping our customers exceed expectations.


Our Python Developer will be working closely with the CTO, engaging with data scientists, product owners and business team members in addition to fellow engineers on different greenfield data-analytics projects.


We can offer our Python Developer:


  • A rewarding career with a discretionary performance based equity.
  • Flexible and remote working.
  • A relaxed environment within the financial technology space.


We can also offer our Python Developer an environment which is perfect for a true technologist. You will be surrounded by individuals just like yourself.


Apply now for immediately consideration for this excellent Python Developer opportunity!


Understanding Recruitment is acting as an employment agency for this Python Developer vacancy.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-15,[] +3935259647,https://uk.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-3935259647?position=6&pageNum=2&refId=rKvK23Q8MLdRYYrqcKDI5g%3D%3D&trackingId=qSLS41sCjy0RsyB4PevX%2Fw%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Product Analytics",Meta,"London, England, United Kingdom","As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. + +Data Scientist, Product Analytics Responsibilities: + + +Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. +Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. +Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. +Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. +Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. + + +Minimum Qualifications: + + +A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.). +Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. +Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). + + +Preferred Qualifications: + + +Masters or Ph.D. Degree in a quantitative field. + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
+ + + + + +
+
+ As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Data Scientist, Product Analytics Responsibilities:

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
  • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
  • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
  • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications:

  • A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.).
  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

Preferred Qualifications:

  • Masters or Ph.D. Degree in a quantitative field.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-03,[] +3975707112,https://uk.linkedin.com/jobs/view/remote-python-developer-at-tiptopjob-3975707112?position=7&pageNum=2&refId=rKvK23Q8MLdRYYrqcKDI5g%3D%3D&trackingId=y1AMhkaRXKE18E5Mx5S1aQ%3D%3D&trk=public_jobs_jserp-result_search-card,Remote Python Developer,TipTopJob,"London, England, United Kingdom","Our clients need technically strong UK:based back:end Python developers who are keen techies with a good level of knowledge for their experience: junior to mid:level developers who want to move up to the next level and get stuck into making a big difference in a small company. + +Every cycle, we review everything we do (including developers work) with the intention of continually optimising our process and methods, eliminating errors and making our work environment more productive. This all comes from the top of the organisation : we are a software company, technically run from the top by a techie. + +Skills And Background Required + +Good Python experience + +RDBMS experience ,SQL etc + +A background in Maths or Data Science + +The Tools And Techs We Currently Use + + +Python 3.x +Postgres SQL and SQLAlchemy ORM/expression language +FastAPI +Starlette +GraphQL +Gitlab +ClickUp +Docker + + +Benefits include + + +Pension contribution up to 5; +25 days annual leave (in addition to the public holidays) + + +ALL APPLICANTS MUST BE FREE TO WORK IN THE UK + +Exposed Solutions is acting as an employment agency to this client. + +Please note that no terminology in this advert is intended to discriminate on any grounds. +Show more ","
+ + + + + +
+
+ Our clients need technically strong UK:based back:end Python developers who are keen techies with a good level of knowledge for their experience: junior to mid:level developers who want to move up to the next level and get stuck into making a big difference in a small company.

Every cycle, we review everything we do (including developers work) with the intention of continually optimising our process and methods, eliminating errors and making our work environment more productive. This all comes from the top of the organisation : we are a software company, technically run from the top by a techie.

Skills And Background Required

Good Python experience

RDBMS experience ,SQL etc

A background in Maths or Data Science

The Tools And Techs We Currently Use

  • Python 3.x
  • Postgres SQL and SQLAlchemy ORM/expression language
  • FastAPI
  • Starlette
  • GraphQL
  • Gitlab
  • ClickUp
  • Docker

Benefits include

  • Pension contribution up to 5;
  • 25 days annual leave (in addition to the public holidays)

ALL APPLICANTS MUST BE FREE TO WORK IN THE UK

Exposed Solutions is acting as an employment agency to this client.

Please note that no terminology in this advert is intended to discriminate on any grounds. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-13,[] +3979992253,https://uk.linkedin.com/jobs/view/data-scientist-at-intellect-group-3979992253?position=8&pageNum=2&refId=rKvK23Q8MLdRYYrqcKDI5g%3D%3D&trackingId=RvtLQeQRL6keqgZ8CDSDzg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Intellect Group,"Greater London, England, United Kingdom","Healthcare Data Scientist Wanted + + + + +Are you an ambitious and skilled Data Scientist ready to pioneer advancements in healthcare? We are actively seeking a Healthcare Data Scientist to join our innovative team dedicated to transforming patient care through cutting-edge data science. + + + + +Position: + +Healthcare Data Scientist + + + + +Qualifications: + +MSc in Data Science, Statistics, or a related field, or a 1st Class BSc in a healthcare-related discipline. + + + + +Experience: + +The ideal candidate will have a minimum of 1-2 years of hands-on experience as a Data Scientist, demonstrating a successful track record of applying data science methodologies to healthcare challenges. + + + + +Key Responsibilities: + +Apply advanced statistical and machine learning techniques to analyze healthcare data. +Collaborate with interdisciplinary teams to develop predictive models and algorithms. +Conduct exploratory data analysis to uncover insights and trends in healthcare datasets. +Design and implement experiments to test hypotheses and improve data quality. +Contribute to the development and optimization of machine learning models for healthcare applications. +Stay abreast of emerging technologies and methodologies in healthcare data science. + + + + +Qualities We're Looking For: + +Proficiency in programming languages such as Python or SQL. +Strong analytical and problem-solving skills with attention to detail. +Experience working with healthcare data standards and privacy regulations. +Excellent communication skills to convey complex findings to diverse stakeholders. +Ability to work collaboratively in a dynamic and fast-paced environment. +Passion for leveraging data science to drive positive healthcare outcomes. + + + + +Benefits: + +Competitive salary reflective of experience and skills. +Comprehensive healthcare benefits package. +Opportunities for continuous professional development and training. +Collaborative and inclusive work environment. +Contribution to impactful projects shaping the future of healthcare. +Show more ","
+ + + + + +
+
+

Healthcare Data Scientist Wanted


Are you an ambitious and skilled Data Scientist ready to pioneer advancements in healthcare? We are actively seeking a Healthcare Data Scientist to join our innovative team dedicated to transforming patient care through cutting-edge data science.


Position:

Healthcare Data Scientist


Qualifications:

  • MSc in Data Science, Statistics, or a related field, or a 1st Class BSc in a healthcare-related discipline.


Experience:

The ideal candidate will have a minimum of 1-2 years of hands-on experience as a Data Scientist, demonstrating a successful track record of applying data science methodologies to healthcare challenges.


Key Responsibilities:

  • Apply advanced statistical and machine learning techniques to analyze healthcare data.
  • Collaborate with interdisciplinary teams to develop predictive models and algorithms.
  • Conduct exploratory data analysis to uncover insights and trends in healthcare datasets.
  • Design and implement experiments to test hypotheses and improve data quality.
  • Contribute to the development and optimization of machine learning models for healthcare applications.
  • Stay abreast of emerging technologies and methodologies in healthcare data science.


Qualities We're Looking For:

  • Proficiency in programming languages such as Python or SQL.
  • Strong analytical and problem-solving skills with attention to detail.
  • Experience working with healthcare data standards and privacy regulations.
  • Excellent communication skills to convey complex findings to diverse stakeholders.
  • Ability to work collaboratively in a dynamic and fast-paced environment.
  • Passion for leveraging data science to drive positive healthcare outcomes.


Benefits:

  • Competitive salary reflective of experience and skills.
  • Comprehensive healthcare benefits package.
  • Opportunities for continuous professional development and training.
  • Collaborative and inclusive work environment.
  • Contribution to impactful projects shaping the future of healthcare.
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3987009985,https://uk.linkedin.com/jobs/view/data-scientist-ai-tech-start-up-at-nicholson-glover-3987009985?position=9&pageNum=2&refId=rKvK23Q8MLdRYYrqcKDI5g%3D%3D&trackingId=sbUr0C7z%2BFryu6P9ttN%2BWw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist | AI Tech Start-Up,Nicholson Glover,"Greater London, England, United Kingdom","Data Scientist | AI | London/Hybrid | Up to £65,000 + 20% Bonus + Share Options + + + + +We are working on a fantastic opportunity with an AI Tech Scale-Up who are looking to hire a Data Scientist to join their growing team! + + + + +The Company + + + + +Their enterprise platform goes beyond predictions and provides insights around AI and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, retail, supply chain, telecoms, utilities, etc. Off the back of Series-A Funding, they are growing at a phenomenal rate! + + + + +The Role + + + + +The Data Scientist will be working on the development of AI-driven models and decision applications using their technology to directly impact client business needs. + +You will work alongside researchers, engineers, and executives and work directly with their customers to solve their client’s most pressing business needs + + + + +The Candidate + + + + +Key attributes of the suitable Data Scientist include: + +At least 18 months experience in a commercial data science role +Strong communication skills with the ability to explain to both technical and non-technical stakeholders +Experience in Retail, Supply Chain, Financial Services, Telecoms, Public Sector, etc. + +Show more ","
+ + + + + +
+
+

Data Scientist | AI | London/Hybrid | Up to £65,000 + 20% Bonus + Share Options


We are working on a fantastic opportunity with an AI Tech Scale-Up who are looking to hire a Data Scientist to join their growing team!


The Company


Their enterprise platform goes beyond predictions and provides insights around AI and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, retail, supply chain, telecoms, utilities, etc. Off the back of Series-A Funding, they are growing at a phenomenal rate!


The Role


The Data Scientist will be working on the development of AI-driven models and decision applications using their technology to directly impact client business needs.

You will work alongside researchers, engineers, and executives and work directly with their customers to solve their client’s most pressing business needs


The Candidate


Key attributes of the suitable Data Scientist include:

  • At least 18 months experience in a commercial data science role
  • Strong communication skills with the ability to explain to both technical and non-technical stakeholders
  • Experience in Retail, Supply Chain, Financial Services, Telecoms, Public Sector, etc.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3981311687,https://uk.linkedin.com/jobs/view/lead-data-scientist-at-sr2-socially-responsible-recruitment-certified-b-corporation%E2%84%A2-3981311687?position=10&pageNum=2&refId=rKvK23Q8MLdRYYrqcKDI5g%3D%3D&trackingId=13%2FVCTHsCYM%2F%2BCAxvcDQBg%3D%3D&trk=public_jobs_jserp-result_search-card,Lead Data Scientist,SR2 | Socially Responsible Recruitment | Certified B Corporation™,"London Area, United Kingdom","Data Scientist – 2 Days a week on site – London + + + + +A major contributor to why people stay in their jobs is they have (and can clearly see / measure) a direct impact on their business. + + + + +Without it people can often feel lost. + + + + +In this role as a Data Scientist, everything you do is measurable. A lot of what you do is focused around optimisation so you can clearly see the impact you can have on the business (one model on a previous project saved £5m last year!). + + + + +That meaning is a lot, but with a very impressive 40% bonus which is partly influenced by things like that, you can have a financial impact on yourself too! + + + + +This role is that of a Lead; you are tried and tested, and can act as the right-hand person to the manager to bounce ideas off. You’ll have one direct report to look after and mentor and report into the Head of Data Science. You’re all about optimisation and probably have a solid background in Causal Modelling & Uplift Modelling. + + + + +Ideal background + +Several years as a Data Scientist to allow both team and independent work +Excellent stakeholder management & communication – its technical AND people focussed +Causal Modelling & Uplift Modelling techniques are your bread & butter +AirFlow (or other Orchestration tools) + + + + +Salary is up to £110,000 + 40% bonus, 3 days WFH, flexible hours, 25 days holiday, Private pension and 6% matched pension. + + + + +For immediate consideration please click apply or contact Charles at SR2. + +Show more ","
+ + + + + +
+
+

Data Scientist – 2 Days a week on site – London


A major contributor to why people stay in their jobs is they have (and can clearly see / measure) a direct impact on their business.


Without it people can often feel lost.


In this role as a Data Scientist, everything you do is measurable. A lot of what you do is focused around optimisation so you can clearly see the impact you can have on the business (one model on a previous project saved £5m last year!).


That meaning is a lot, but with a very impressive 40% bonus which is partly influenced by things like that, you can have a financial impact on yourself too!


This role is that of a Lead; you are tried and tested, and can act as the right-hand person to the manager to bounce ideas off. You’ll have one direct report to look after and mentor and report into the Head of Data Science. You’re all about optimisation and probably have a solid background in Causal Modelling & Uplift Modelling.


Ideal background

  • Several years as a Data Scientist to allow both team and independent work
  • Excellent stakeholder management & communication – its technical AND people focussed
  • Causal Modelling & Uplift Modelling techniques are your bread & butter
  • AirFlow (or other Orchestration tools)


Salary is up to £110,000 + 40% bonus, 3 days WFH, flexible hours, 25 days holiday, Private pension and 6% matched pension.


For immediate consideration please click apply or contact Charles at SR2.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3973948827,https://ca.linkedin.com/jobs/view/python-developer-at-tata-consultancy-services-3973948827?position=1&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=PlGBMLWXI2G6PmFfJxPe0A%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,Tata Consultancy Services,"Toronto, Ontario, Canada","About TCS: + +Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. + +Key Skills: + +•Python developer - Years of experience required. + +•Experience building middle layer API servicing web apps using pythons’ fast API framework. + +•Experience using Lang chain/ Lang graph for gen + +•Deep knowledge of graph databases, specifically neo4 + + + + + + + +Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource + +Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile. + +Show more ","
+ + + + + +
+
+

About TCS:

Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.

Key Skills:

•Python developer - Years of experience required.

•Experience building middle layer API servicing web apps using pythons’ fast API framework.

•Experience using Lang chain/ Lang graph for gen

•Deep knowledge of graph databases, specifically neo4



Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource

Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-16,[] +3984985571,https://ca.linkedin.com/jobs/view/manager-data-scientist-at-td-3984985571?position=2&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=z4xQI1vZnsaNyq5m7TbQDw%3D%3D&trk=public_jobs_jserp-result_search-card,"Manager, Data Scientist",TD,"Toronto, Ontario, Canada","Work Location: + +Canada + +Hours + +37.5 + +Line Of Business + +Data & Analytics + +Pay Details + +We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role. + +Job Description + +Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change. + +Key Accountabilities + + +Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects +Work closely with business owners to identify opportunities and serve as an ambassador for data science +Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions +Design and deliver enterprise analytic solutions to our customers +Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques +Build complex statistical models that learn from and scale to petabytes of data. +Provide analytical thought leadership and staying current on developments in data exploration and the application of data science +Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise +Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk +Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions +Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured. +Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics +Be comfortable working through ambiguity and help make informed decisions +Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts +Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects +Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest +Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies +Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services +Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils) + + +BREADTH & DEPTH + + +Deliver advanced analytical capabilities above and beyond existing methods +Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders +Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques + + +Experience & Education + + +Undergraduate degree or technical certificate +5+ years of relevant experience +Comfortable and experienced with advanced coding (Python, pyspark preferred) + + +Who We Are + +TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. + +TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you. + +Our Total Rewards Package + +Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more + +Additional Information + +We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. + +Colleague Development + +If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals. + +Training & Onboarding + +We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. + +Interview Process + +We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. + +Accommodation + +Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process. + +We look forward to hearing from you! + +Language Requirement + +N/A. + + +Show more ","
+ + + + + +
+
+ Work Location:

Canada

Hours

37.5

Line Of Business

Data & Analytics

Pay Details

We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

Job Description

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

Key Accountabilities

  • Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
  • Work closely with business owners to identify opportunities and serve as an ambassador for data science
  • Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
  • Design and deliver enterprise analytic solutions to our customers
  • Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
  • Build complex statistical models that learn from and scale to petabytes of data.
  • Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
  • Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
  • Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
  • Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
  • Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
  • Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
  • Be comfortable working through ambiguity and help make informed decisions
  • Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
  • Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
  • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
  • Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
  • Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
  • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)

BREADTH & DEPTH

  • Deliver advanced analytical capabilities above and beyond existing methods
  • Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
  • Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques

Experience & Education

  • Undergraduate degree or technical certificate
  • 5+ years of relevant experience
  • Comfortable and experienced with advanced coding (Python, pyspark preferred)

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement

N/A.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3929265225,https://ca.linkedin.com/jobs/view/data-scientist-decisions-safety-at-lyft-3929265225?position=3&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=hcKJP25tXGsBlxFxTvjcyw%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Decisions - Safety",Lyft,"Toronto, Ontario, Canada","At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider & Safety Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing. + +As a Data Scientist, Decisions in the Rider & Safety team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization. + +You will report to a Data Science Manager in the Rider & Safety Science team. + +Responsibilities: + + +Leverage data and analytic frameworks to identify opportunities for growth and efficiency +Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action +Design and analyze online experiments; communicate results and act on launch decisions +Develop analytical frameworks to monitor business and product performance +Establish metrics that measure the health of our products, as well as rider and driver experience + + +Experience: + + +Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience +3+ years of industry experience in a data science or analytics role +Proficiency in SQL - able to write structured and efficient queries on large data sets +Experience in programming, especially with data science and visualization libraries in Python or R is helpful +Experience in online experimentation and statistical analysis +Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners + + +Benefits: + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +Show more ","
+ + + + + +
+
+ At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider & Safety Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

As a Data Scientist, Decisions in the Rider & Safety team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization.

You will report to a Data Science Manager in the Rider & Safety Science team.

Responsibilities:

  • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
  • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
  • Design and analyze online experiments; communicate results and act on launch decisions
  • Develop analytical frameworks to monitor business and product performance
  • Establish metrics that measure the health of our products, as well as rider and driver experience

Experience:

  • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
  • 3+ years of industry experience in a data science or analytics role
  • Proficiency in SQL - able to write structured and efficient queries on large data sets
  • Experience in programming, especially with data science and visualization libraries in Python or R is helpful
  • Experience in online experimentation and statistical analysis
  • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Access to a Health Care Savings Account
  • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
  • 4 Floating Holidays each calendar year prorated based off of date of hire
  • 10 paid sick days per year regardless of province
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-21,[] +3970278177,https://ca.linkedin.com/jobs/view/data-scientist-i-at-coca-cola-canada-bottling-limited-3970278177?position=4&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=TD3YHAbKlFHDHw8Z3583mg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist I,Coca-Cola Canada Bottling Limited,"Toronto, Ontario, Canada","Work Location - Toronto (Hybrid) + +Employee Type - Regular Employee FT Salaried + + + + +About This Opportunity + +In this role, you will play a key role in the development, management, and enhancement of analytical models and insights, fostering a culture of advanced analytics across various business areas. + + + + +Responsibilities + +Key contributor for the development of Coke Canada commercial analytics tools and communication of implementation strategies +Key contributor to the development of the trade spend optimization tools and processes for all channels in conjunction with other partner resources +Key consult for partnership work on promotion offer testing (third-party) and ownership of post-audits for implementation opportunities and risk identification +Development of analytics use cases for revenue and profit acceleration. +Key consult within the process of planning the volume and revenue including scenario building, elasticity impacts, volume/rate/mix scenarios, and overall customer and category support. +Support requests for analysis including ad-hoc, monthly, and YTD reporting with an emphasis on results vs predictions + + + + +Qualifications + +Bachelor's degree in a technical field or a quantitative field, Master's degree is an asset. +3+ years of data science-based and analytics experience +Strong proficiency in Python +Databricks, Pyspark is considered an asset +Experience in visualization tools such as Power Bl (preferred), Tableau or Qlikview +Strong proficiency in statistical and machine learning techniques (Multivariate regression, Random Forests, XGBoost, Neural Networks) +Strong proficiency in demand, elasticity, marketing mix, multi-arm bandit models, as well as linear and non­ linear optimization algorithms. +Exceptional attention to detail and demonstrated ability to solve business problems through analytics. +Ability to explain a data science project, problem, or insight in a story-telling manner to non-technical audience. +Strong proficiency in advanced Excel, VBA/DAX an asset +Prior experience in CPG or Retail industry an asset + + + + +About Us: Proudly Canadian and Independently Owned, We are Coke Canada! + +Coca-Cola Canada Bottling Limited is Canada’s premier bottling company. We are an independently owned business encompassing over 5,800 associates, more than 50 sales and distribution centers, and 5 production facilities nationwide. For more information about Coke Canada Bottling, please visit cokecanada.com + + + + +Important + +All offers of employment at Coca-Cola Canada Bottling Limited (“Coke Canada Bottling”) are conditional upon a successful background clearance obtained through our contracted third-party vendor. The standard clearance requirements depend on the position and may include some or all of the following: criminal clearance, employment verification, education verification and drivers abstract review. Please advise the Talent Acquisition team if you have any questions or concerns in regards to this once you are contacted for further consideration. + + + + +Coke Canada Bottling is committed to creating a diverse and inclusive workforce with several programs, policies and resources in place to support our people. For individuals requiring accommodations or support throughout the recruitment process please contact our Talent Acquisition Services team by calling 1-844-383-2653 or email HR@cokecanada.com. + +Show more ","
+ + + + + +
+
+

Work Location - Toronto (Hybrid)

Employee Type - Regular Employee FT Salaried


About This Opportunity

In this role, you will play a key role in the development, management, and enhancement of analytical models and insights, fostering a culture of advanced analytics across various business areas.


Responsibilities

  • Key contributor for the development of Coke Canada commercial analytics tools and communication of implementation strategies
  • Key contributor to the development of the trade spend optimization tools and processes for all channels in conjunction with other partner resources
  • Key consult for partnership work on promotion offer testing (third-party) and ownership of post-audits for implementation opportunities and risk identification
  • Development of analytics use cases for revenue and profit acceleration.
  • Key consult within the process of planning the volume and revenue including scenario building, elasticity impacts, volume/rate/mix scenarios, and overall customer and category support.
  • Support requests for analysis including ad-hoc, monthly, and YTD reporting with an emphasis on results vs predictions


Qualifications

  • Bachelor's degree in a technical field or a quantitative field, Master's degree is an asset.
  • 3+ years of data science-based and analytics experience
  • Strong proficiency in Python
  • Databricks, Pyspark is considered an asset
  • Experience in visualization tools such as Power Bl (preferred), Tableau or Qlikview
  • Strong proficiency in statistical and machine learning techniques (Multivariate regression, Random Forests, XGBoost, Neural Networks)
  • Strong proficiency in demand, elasticity, marketing mix, multi-arm bandit models, as well as linear and non­ linear optimization algorithms.
  • Exceptional attention to detail and demonstrated ability to solve business problems through analytics.
  • Ability to explain a data science project, problem, or insight in a story-telling manner to non-technical audience.
  • Strong proficiency in advanced Excel, VBA/DAX an asset
  • Prior experience in CPG or Retail industry an asset


About Us: Proudly Canadian and Independently Owned, We are Coke Canada!

Coca-Cola Canada Bottling Limited is Canada’s premier bottling company. We are an independently owned business encompassing over 5,800 associates, more than 50 sales and distribution centers, and 5 production facilities nationwide. For more information about Coke Canada Bottling, please visit cokecanada.com


Important

All offers of employment at Coca-Cola Canada Bottling Limited (“Coke Canada Bottling”) are conditional upon a successful background clearance obtained through our contracted third-party vendor. The standard clearance requirements depend on the position and may include some or all of the following: criminal clearance, employment verification, education verification and drivers abstract review. Please advise the Talent Acquisition team if you have any questions or concerns in regards to this once you are contacted for further consideration.


Coke Canada Bottling is committed to creating a diverse and inclusive workforce with several programs, policies and resources in place to support our people. For individuals requiring accommodations or support throughout the recruitment process please contact our Talent Acquisition Services team by calling 1-844-383-2653 or email HR@cokecanada.com.

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",2024-07-31,[] +3994511773,https://ca.linkedin.com/jobs/view/data-science-ml-engineering-at-j-m-group-3994511773?position=5&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=l%2Fu88ZDbizHQ96C2kqPpYw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science / ML Engineering,J&M Group,"Toronto, Ontario, Canada","Proficiency with SageMaker Notebooks & Pipelines for building and deploying Client models. +Strong understanding of machine learning, statistics, and data labeling and classification techniques. +Expertise in Python programming, including libraries such as Pandas, NumPy, and Matplotlib. +Experience with AWS Glue, Glue Data Quality (DQ), and PySpark for ETL processes. +Knowledge of AWS Lambda functions and Python for serverless computing. +Familiarity with data storage solutions like S3, LakeFormation, and Glue Catalog. +Proficiency in querying and analyzing data using Athena and SQL. +Experience with data visualization tools like Power BI and QuickSight. +Show more ","
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  • Proficiency with SageMaker Notebooks & Pipelines for building and deploying Client models.
  • Strong understanding of machine learning, statistics, and data labeling and classification techniques.
  • Expertise in Python programming, including libraries such as Pandas, NumPy, and Matplotlib.
  • Experience with AWS Glue, Glue Data Quality (DQ), and PySpark for ETL processes.
  • Knowledge of AWS Lambda functions and Python for serverless computing.
  • Familiarity with data storage solutions like S3, LakeFormation, and Glue Catalog.
  • Proficiency in querying and analyzing data using Athena and SQL.
  • Experience with data visualization tools like Power BI and QuickSight.
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",2024-08-06,[] +3973701529,https://ca.linkedin.com/jobs/view/python-developer-at-qa-consultants-3973701529?position=6&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=coWjOGoA94Zblq7czKD%2F8g%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,QA Consultants,"Toronto, Ontario, Canada","Full Time: Senior Python Developer + + + + +We are currently seeking competent individuals to fulfill the role of Senior Developer to join our team, which will focus on delivering our Software products. + + + + +Emtech is the leading provider of enterprise software quality engineering solutions for validating insurance carrier value chains. Our customers are enabled to deliver quality products while avoiding the expensive and embarrassing consequences from the exposure of production defect leakage. + + + + +You will join a highly self-organizing, high performing team to help invent and implement solutions and create tools to drive our company’s vision. This is an exceptional opportunity for someone who wants to have a business impact, dive deep into large-scale economic problems for several industry domains, get involved in international research programs, enable measurable actions, and experience new and emerging technologies. + + + + +RESPONSIBILITIES + +Work effectively as a senior team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress. +Understand requirements that drive the design of technical solutions. +Work with our other teams to refine and capture design requirements. +Design and develop user facing and back-end software. +Build quality code using modern tooling, testing frameworks and programming patterns. +Provide support for testing efforts and defect resolution. +Create and maintain detailed design documents. +Ability to quickly ramp up on and apply new technologies and processes. +Provide peer review and quality control daily. + + + + +CORE QUALIFICATIONS + + + + +Must Have Skills/Requirements: + + + + +Must be able to work in Canada. Preference will be given to those that can work hybrid (predominantly remote with some in office time) in the Toronto, Ontario area +Must have experience working within a software company with enterprise customers preferred. +Significant experience developing secure, maintainable, and observable software. +Strong diagnostic and debugging skills. +Significant (7+ years) software development and design experience in multiple domains – primarily desktop development and back-end services. +4+ years development experience with Python with significant experience developing Python Windows desktop and, to a lesser extent, full stack web applications and utilities. +Extensive experience with Qt (version 6) and the Python bindings for Qt. PySide6 strongly preferred, PyQt to a lesser extent. +Experience designing and developing applications that need to maintain backwards compatibility; providing clients with appropriate version migration options. +Knowledge of various databases including relational and NoSQL. +Strong understanding of OOPS concepts and familiarity with most or all of the following standard principles - DRY, SOLID, KISS, YAGNI, “Tell, don’t ask”. +Experience writing unit and integration tests. Experience using web site and API test automation software. +Able to prepare technical documentation. +Experience working with product owners and managers, gathering requirements and developing specifications, designs, and software based on product owner inputs. + + + + +Nice to Have Skills: + +Experience with combinatorial optimization as it applies to determining which combinations of workflows and parameters provide the most test coverage of an application that has been modelled as a graph. +Experience with graph modelling and graph model databases. +Experience with both monolithic and de-coupled architectures and the corresponding build processes and tools. +Extensive experience with the tools used to create GUI Python applications for Windows, use of PyInstaller, MSI creation tools, and application signing. +Experience with multiple software languages and frameworks from various domains, e.g. JVM and various JVM web services frameworks, C#, java/type script and Angular/Vue/React. Experience that you can use to evaluate various options for developing new software components. +Experience developing software libraries and using the related tools (Maven, Nuget, etc.) +Experience developing test automation systems using common libraries like Selenium. +Exposure to TDD. +Familiarity with NIST SSDF, OWASP, and other secure software development processes and guidelines. +Familiarity with Python’s built in unit testing module. +Experience with CI/CD tools and pipelines, e.g. GitHub actions. +Experience and familiarity with multiple languages and software development domains. +Education and Certifications: Diploma or bachelor’s degree in a technical field such as computer science, computer engineering or related field required + + + + +We thank all applicants for their interest and referral. However, only qualified candidates selected for an interview will be contacted. + + + + +Not for you? + +Check out our other opportunities at https://www.qaconsultants.com/ or follow us on LinkedIn. We thank all candidates in advance. Only selected candidates for interviews will be contacted. + + + + +About Us + +QA Consultants is North America’s largest software quality engineering services firm. An award-winning onshore provider of software testing and quality assurance solutions, we are the trusted engineering services company for business, industry and government supported by leading practitioners and solutions. For almost 30 years, we have successfully delivered 12,000+ mission-critical projects in the private, public, and not-for-profit sectors. We reduce risk and improve time to market with quality engineering, keep applications secure through dedicated application security capabilities, and reduce cost of ownership while enabling applications to scale via performance engineering. We are proud of our vision to help clients achieve flawless technology outcomes. QA Consultants also operates a robust emerging technologies practice with a focus on quality engineering solutions for connected and autonomous vehicles, artificial intelligence (AI), Internet of Things (IoT) and blockchain. + +For more information visit - https://www.qaconsultants.com/ + + + + +Our Purpose + +Life continues to evolve and the technology we all rely on daily hinges on impeccable software. QAC understands that safe, effective technology is your right - it is our right. It is with this understanding that we deliver on our purpose. We support our clients to ensure technology enables flawless productivity and harmony for a Better, Brighter and Safer world for all of us. + + + + +What’s in it for you? Make a difference every day as you help our clients deliver innovation and technology in a better, brighter, and safer way +Be part of a smart and dedicated team, disrupting quality assurance methodologies and creating something unique +Be involved in challenging and interesting work +Work from anywhere + + + + +We are growing faster than we expected and that’s humbling and exciting! So, for all those on board, we guarantee a rewarding journey – and we’re just getting started. + + + + +Diversity & Inclusion + + + + +QA Consultants is an equal opportunity employer, committed to meeting the needs of all individuals in accordance with the Accessibility of Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC) where we evaluate applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We are committed to the creation of an exceptional work environment wherein we maintain values of mutual respect, integrity, dignity, and inclusivity; and encourage the open exchange of ideas and opinions. + + + + +If you require a specific accommodation because of a disability or a medical need, please inform the recruiter. This ensures that the appropriate accommodations are in place at time of your interview and before you begin your employment. + + + + +QAC’s main office is located in Toronto, Ontario. We acknowledge that the land on which we work is situated upon traditional territories. We wish to acknowledge the Ancestral Traditional Territories of the Ojibway, the Anishinaabe and, the Mississaugas of the New Credit. We also recognize the enduring presence of Aboriginal peoples on this land. + +Show more ","
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Full Time: Senior Python Developer


We are currently seeking competent individuals to fulfill the role of Senior Developer to join our team, which will focus on delivering our Software products.


Emtech is the leading provider of enterprise software quality engineering solutions for validating insurance carrier value chains. Our customers are enabled to deliver quality products while avoiding the expensive and embarrassing consequences from the exposure of production defect leakage.


You will join a highly self-organizing, high performing team to help invent and implement solutions and create tools to drive our company’s vision. This is an exceptional opportunity for someone who wants to have a business impact, dive deep into large-scale economic problems for several industry domains, get involved in international research programs, enable measurable actions, and experience new and emerging technologies.


RESPONSIBILITIES

  • Work effectively as a senior team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress.
  • Understand requirements that drive the design of technical solutions.
  • Work with our other teams to refine and capture design requirements.
  • Design and develop user facing and back-end software.
  • Build quality code using modern tooling, testing frameworks and programming patterns.
  • Provide support for testing efforts and defect resolution.
  • Create and maintain detailed design documents.
  • Ability to quickly ramp up on and apply new technologies and processes.
  • Provide peer review and quality control daily.


CORE QUALIFICATIONS


Must Have Skills/Requirements:


  • Must be able to work in Canada. Preference will be given to those that can work hybrid (predominantly remote with some in office time) in the Toronto, Ontario area
  • Must have experience working within a software company with enterprise customers preferred.
  • Significant experience developing secure, maintainable, and observable software.
  • Strong diagnostic and debugging skills.
  • Significant (7+ years) software development and design experience in multiple domains – primarily desktop development and back-end services.
  • 4+ years development experience with Python with significant experience developing Python Windows desktop and, to a lesser extent, full stack web applications and utilities.
  • Extensive experience with Qt (version 6) and the Python bindings for Qt. PySide6 strongly preferred, PyQt to a lesser extent.
  • Experience designing and developing applications that need to maintain backwards compatibility; providing clients with appropriate version migration options.
  • Knowledge of various databases including relational and NoSQL.
  • Strong understanding of OOPS concepts and familiarity with most or all of the following standard principles - DRY, SOLID, KISS, YAGNI, “Tell, don’t ask”.
  • Experience writing unit and integration tests. Experience using web site and API test automation software.
  • Able to prepare technical documentation.
  • Experience working with product owners and managers, gathering requirements and developing specifications, designs, and software based on product owner inputs.


Nice to Have Skills:

  • Experience with combinatorial optimization as it applies to determining which combinations of workflows and parameters provide the most test coverage of an application that has been modelled as a graph.
  • Experience with graph modelling and graph model databases.
  • Experience with both monolithic and de-coupled architectures and the corresponding build processes and tools.
  • Extensive experience with the tools used to create GUI Python applications for Windows, use of PyInstaller, MSI creation tools, and application signing.
  • Experience with multiple software languages and frameworks from various domains, e.g. JVM and various JVM web services frameworks, C#, java/type script and Angular/Vue/React. Experience that you can use to evaluate various options for developing new software components.
  • Experience developing software libraries and using the related tools (Maven, Nuget, etc.)
  • Experience developing test automation systems using common libraries like Selenium.
  • Exposure to TDD.
  • Familiarity with NIST SSDF, OWASP, and other secure software development processes and guidelines.
  • Familiarity with Python’s built in unit testing module.
  • Experience with CI/CD tools and pipelines, e.g. GitHub actions.
  • Experience and familiarity with multiple languages and software development domains.
  • Education and Certifications: Diploma or bachelor’s degree in a technical field such as computer science, computer engineering or related field required


We thank all applicants for their interest and referral. However, only qualified candidates selected for an interview will be contacted.


Not for you?

Check out our other opportunities at https://www.qaconsultants.com/ or follow us on LinkedIn. We thank all candidates in advance. Only selected candidates for interviews will be contacted.


About Us

QA Consultants is North America’s largest software quality engineering services firm. An award-winning onshore provider of software testing and quality assurance solutions, we are the trusted engineering services company for business, industry and government supported by leading practitioners and solutions. For almost 30 years, we have successfully delivered 12,000+ mission-critical projects in the private, public, and not-for-profit sectors. We reduce risk and improve time to market with quality engineering, keep applications secure through dedicated application security capabilities, and reduce cost of ownership while enabling applications to scale via performance engineering. We are proud of our vision to help clients achieve flawless technology outcomes. QA Consultants also operates a robust emerging technologies practice with a focus on quality engineering solutions for connected and autonomous vehicles, artificial intelligence (AI), Internet of Things (IoT) and blockchain.

For more information visit - https://www.qaconsultants.com/


Our Purpose

Life continues to evolve and the technology we all rely on daily hinges on impeccable software. QAC understands that safe, effective technology is your right - it is our right. It is with this understanding that we deliver on our purpose. We support our clients to ensure technology enables flawless productivity and harmony for a Better, Brighter and Safer world for all of us.


  • What’s in it for you? Make a difference every day as you help our clients deliver innovation and technology in a better, brighter, and safer way
  • Be part of a smart and dedicated team, disrupting quality assurance methodologies and creating something unique
  • Be involved in challenging and interesting work
  • Work from anywhere


We are growing faster than we expected and that’s humbling and exciting! So, for all those on board, we guarantee a rewarding journey – and we’re just getting started.


Diversity & Inclusion


QA Consultants is an equal opportunity employer, committed to meeting the needs of all individuals in accordance with the Accessibility of Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC) where we evaluate applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We are committed to the creation of an exceptional work environment wherein we maintain values of mutual respect, integrity, dignity, and inclusivity; and encourage the open exchange of ideas and opinions.


If you require a specific accommodation because of a disability or a medical need, please inform the recruiter. This ensures that the appropriate accommodations are in place at time of your interview and before you begin your employment.


QAC’s main office is located in Toronto, Ontario. We acknowledge that the land on which we work is situated upon traditional territories. We wish to acknowledge the Ancestral Traditional Territories of the Ojibway, the Anishinaabe and, the Mississaugas of the New Credit. We also recognize the enduring presence of Aboriginal peoples on this land.

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",2024-07-12,[] +3975018044,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-curinos-3975018044?position=7&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=ncT%2BhWFL%2Fd%2FvbcLW1w7vKQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Curinos,"Toronto, Ontario, Canada","Curinos is the leading provider of data, technologies and insights that enable financial institutions to make better, and more profitable, data-driven decisions faster. Born out of the combination of two familiar industry powerhouses, Novantas and Informa’s FBX business, Curinos brings to market a new level of industry expertise across deposits, lending and digital experience solutions and technologies. + +Curinos is operating under a hybrid modality. + +This position is based in the Toronto area. + + + + +Job Description + +We’re looking for an experienced, product-minded data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, insightful in your analytical approach, and pragmatic in embedding data science in enterprise products. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices. + + + + +KEY DUTIES + +● Independently apply advanced statistical concepts leveraging both theory and practical experience to deliver repeatable, scalable workflows and products + +● Shape experimental design and incorporate a working knowledge of advanced experimental analytics techniques to accurately measure the success of Curinos ML based marketing optimization campaigns + +● Independently select the appropriate approaches from a broad toolkit of ML algorithms and embody high standards of quality and accountability throughout the ML model development lifecycle, with an eye to enabling successful, repeatable, scalable production-level deployment + +● Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities + +● Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products + +● Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our products + + + + +Desired Skill& Expertise + +● You have 5+ years' experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications. Experience in scientific marketing contexts is a plus + +● You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models + +● You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus + +● You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting + +● You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers + +● You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals + +● You can quickly pivot and act with agility as dictated by the needs of the business + +● You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline + + + + +Why work at Curinos? + +Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from +Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask! +Competitive annual leave, floating holidays, volunteering days and a day off for your birthday! +Learning and development tools to assist with your career development +Work with industry leading Subject Matter Experts and specialist products +Regular social events and networking opportunities +Collaborative, supportive culture, including an active DE&I program +Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services + + + + +Applying: + +We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! + +If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help. + + + + +Inclusivity at Curinos: + +We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics. + +Show more ","
+ + + + + +
+
+

Curinos is the leading provider of data, technologies and insights that enable financial institutions to make better, and more profitable, data-driven decisions faster. Born out of the combination of two familiar industry powerhouses, Novantas and Informa’s FBX business, Curinos brings to market a new level of industry expertise across deposits, lending and digital experience solutions and technologies.

Curinos is operating under a hybrid modality.

This position is based in the Toronto area.


Job Description

We’re looking for an experienced, product-minded data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, insightful in your analytical approach, and pragmatic in embedding data science in enterprise products. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices.


KEY DUTIES

● Independently apply advanced statistical concepts leveraging both theory and practical experience to deliver repeatable, scalable workflows and products

● Shape experimental design and incorporate a working knowledge of advanced experimental analytics techniques to accurately measure the success of Curinos ML based marketing optimization campaigns

● Independently select the appropriate approaches from a broad toolkit of ML algorithms and embody high standards of quality and accountability throughout the ML model development lifecycle, with an eye to enabling successful, repeatable, scalable production-level deployment

● Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities

● Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products

● Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our products


Desired Skill& Expertise

● You have 5+ years' experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications. Experience in scientific marketing contexts is a plus

● You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models

● You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus

● You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting

● You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers

● You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals

● You can quickly pivot and act with agility as dictated by the needs of the business

● You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline


Why work at Curinos?

  • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
  • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
  • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
  • Learning and development tools to assist with your career development
  • Work with industry leading Subject Matter Experts and specialist products
  • Regular social events and networking opportunities
  • Collaborative, supportive culture, including an active DE&I program
  • Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services


Applying:

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help.


Inclusivity at Curinos:

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

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",2024-07-17,[] +3976355807,https://ca.linkedin.com/jobs/view/sr-machine-learning-engineer-at-autotrader-ca-3976355807?position=8&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=Ad3wPF8uJpzYGLwHuQrz7A%3D%3D&trk=public_jobs_jserp-result_search-card,Sr. Machine Learning Engineer,AutoTrader.ca,"Toronto, Ontario, Canada","TRADER Corporation is a trusted Canadian leader in online media, dealer and lender services. The company is comprised of AutoTrader.ca, AutoSync and Dealertrack Canada. AutoTrader.ca (AutoHebdo.net in Quebec) offers the largest inventory of new cars and used cars in Canada, receiving over 25 million monthly visits to its marketplace. With over 3,500 subscribers and counting, AutoSync is the largest and fastest growing dealer and OEM software provider in Canada. The platform's suite of connected automotive software solutions brings advertising, conversion and operational support together, synchronizing the entire retail process. AutoSync's diverse range of offerings includes: vAuto, EasyDeal, xtime, Motoinsight, Activix, TAdvantage and TRFFK. Dealertrack is Canada’s largest automotive financing portal, enhancing efficiency and profitability for all major segments of the automotive, marine, recreational vehicle, motorcycle and powersport retail industries. Over 6.5 million credit applications are submitted via the Dealertrack Canada portal each year. Visit tradercorporation.com to learn more.. + + + + +We are actively seeking a talented Senior Machine Learning Engineer to play a pivotal role in advancing our AI-driven products at Trader. The ideal candidate will possess a knack for sifting through large datasets to identify opportunities that enhance our product offerings and deliver exceptional value to our customers. This role demands effective communication skills to collaborate seamlessly with both technical team members and business stakeholders. The successful candidate will have a track record of leveraging machine learning to drive significant business outcomes and the ability to articulate complex findings to a business audience. An enthusiasm for continuous learning and growth in the field of AI is essential. + +What you’ll do: + +• Design and implement sophisticated machine learning models to elevate customer experiences across Trader's suite of products and services. + +• Conduct rigorous monitoring and maintenance of deployed Machine Learning models, ensuring their continued performance, accuracy, and reliability. + +• Collaborate with the Product team to develop and test novel ideas, models, and approaches, utilizing extensive datasets to optimize business performance. + +• Select and manage cloud resources effectively to automate and scale machine learning pipelines, ensuring efficient model training and deployment. + +• Establish and refine data processing methodologies to enhance data quality, making it more accessible and insightful for machine learning applications. + +• Oversee a robust data processing architecture capable of preparing a wide variety of data types for complex analytical modeling. + +• Work closely with Support Teams to identify and rectify customer-reported issues swiftly. + +What you’ll need: + +• Strong background in Azure or comparable cloud platforms, with a focus on machine learning model deployment and management. + +• 5-10+ years of relevant professional experience. + +• A scientific mindset characterized by curiosity and a commitment to uncovering data-driven insights. + +• Excellent teamwork and interpersonal abilities. + +• A university degree in a STEM discipline. + +• Expert-level skills in Python and SQL for handling production-grade code. + +• Extensive experience in developing, training, and maintaining ML models. + +• Familiarity with a broad range of analytical tools and machine learning techniques. + +• Solid track record in data preparation, cleaning, and wrangling to support machine learning efforts. + +• Expertise in working with both structured and unstructured data from diverse sources. + +• Passion about exploring and developing Gen AI applications. + +• Initiative and the capacity to function autonomously within cross-functional teams. + +• The ability to collaborate effectively to meet the organization's goals. + +Bonus Points: + +• Prior experience in the fintech industry is advantageous. + +• Comprehensive experience managing machine learning projects from the initial phase through to deployment and post-deployment monitoring. + + + + +What’s in it for you… + +-We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. + +Fitness and wellness + +-We provide discounts to nation-wide gyms, onsite gyms (when we’re in the office), an Employee and Family Assistance Program, as well as a virtual wellness program. + +Benefits from Day 1 + +-Gym discounts + +-Local in-office free gyms + +-Employee and Family Assistance program + +-Weekly virtual wellness events + +-Conferences & training budget + +-Regular internal training programs + +Financial planning + +-Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. + +Competitive salary + +-Annual bonus structure + +-3% CPP matching + +Show more ","
+ + + + + +
+
+

TRADER Corporation is a trusted Canadian leader in online media, dealer and lender services. The company is comprised of AutoTrader.ca, AutoSync and Dealertrack Canada. AutoTrader.ca (AutoHebdo.net in Quebec) offers the largest inventory of new cars and used cars in Canada, receiving over 25 million monthly visits to its marketplace. With over 3,500 subscribers and counting, AutoSync is the largest and fastest growing dealer and OEM software provider in Canada. The platform's suite of connected automotive software solutions brings advertising, conversion and operational support together, synchronizing the entire retail process. AutoSync's diverse range of offerings includes: vAuto, EasyDeal, xtime, Motoinsight, Activix, TAdvantage and TRFFK. Dealertrack is Canada’s largest automotive financing portal, enhancing efficiency and profitability for all major segments of the automotive, marine, recreational vehicle, motorcycle and powersport retail industries. Over 6.5 million credit applications are submitted via the Dealertrack Canada portal each year. Visit tradercorporation.com to learn more..


We are actively seeking a talented Senior Machine Learning Engineer to play a pivotal role in advancing our AI-driven products at Trader. The ideal candidate will possess a knack for sifting through large datasets to identify opportunities that enhance our product offerings and deliver exceptional value to our customers. This role demands effective communication skills to collaborate seamlessly with both technical team members and business stakeholders. The successful candidate will have a track record of leveraging machine learning to drive significant business outcomes and the ability to articulate complex findings to a business audience. An enthusiasm for continuous learning and growth in the field of AI is essential.

What you’ll do:

• Design and implement sophisticated machine learning models to elevate customer experiences across Trader's suite of products and services.

• Conduct rigorous monitoring and maintenance of deployed Machine Learning models, ensuring their continued performance, accuracy, and reliability.

• Collaborate with the Product team to develop and test novel ideas, models, and approaches, utilizing extensive datasets to optimize business performance.

• Select and manage cloud resources effectively to automate and scale machine learning pipelines, ensuring efficient model training and deployment.

• Establish and refine data processing methodologies to enhance data quality, making it more accessible and insightful for machine learning applications.

• Oversee a robust data processing architecture capable of preparing a wide variety of data types for complex analytical modeling.

• Work closely with Support Teams to identify and rectify customer-reported issues swiftly.

What you’ll need:

• Strong background in Azure or comparable cloud platforms, with a focus on machine learning model deployment and management.

• 5-10+ years of relevant professional experience.

• A scientific mindset characterized by curiosity and a commitment to uncovering data-driven insights.

• Excellent teamwork and interpersonal abilities.

• A university degree in a STEM discipline.

• Expert-level skills in Python and SQL for handling production-grade code.

• Extensive experience in developing, training, and maintaining ML models.

• Familiarity with a broad range of analytical tools and machine learning techniques.

• Solid track record in data preparation, cleaning, and wrangling to support machine learning efforts.

• Expertise in working with both structured and unstructured data from diverse sources.

• Passion about exploring and developing Gen AI applications.

• Initiative and the capacity to function autonomously within cross-functional teams.

• The ability to collaborate effectively to meet the organization's goals.

Bonus Points:

• Prior experience in the fintech industry is advantageous.

• Comprehensive experience managing machine learning projects from the initial phase through to deployment and post-deployment monitoring.


What’s in it for you…

-We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best.

Fitness and wellness

-We provide discounts to nation-wide gyms, onsite gyms (when we’re in the office), an Employee and Family Assistance Program, as well as a virtual wellness program.

Benefits from Day 1

-Gym discounts

-Local in-office free gyms

-Employee and Family Assistance program

-Weekly virtual wellness events

-Conferences & training budget

-Regular internal training programs

Financial planning

-Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection.

Competitive salary

-Annual bonus structure

-3% CPP matching

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",2024-07-18,[] +3988595870,https://ca.linkedin.com/jobs/view/data-scientist-healthcare-canada-at-tiger-analytics-3988595870?position=9&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=L3GXG%2FbPLR24LcaNltWaZA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Healthcare (Canada),Tiger Analytics,"Toronto, Ontario, Canada","Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce. + +We are looking for a Data Scientist who will apply strong expertise in healthcare and payer data (such as EMR and patient claims) and frameworks (STARS, HEDIS, etc.) to design, prototype, and build next-generation advanced analytics engines and services to add to our team. + +Key Responsibilities + + +This role will collaborate with different stakeholders from across the organization to develop analytics to provide information, insights, and BI (Business Intelligence) solutions across one or more functional areas (care management, contracting and commercial, utilization management, etc.). Key activities include analyzing data requests using both curated data marts and disparate internal and external sources +Leverages advanced analytics methods to create insightful recommendations and conclusions that may be communicated to the stakeholder +Supports IT on the ongoing improvement of Mount Sinai's integrated data warehouse +Coordinates with multiple business and technology functional stakeholders and manages projects effectively +Prepares clear, well-organized project-specific documentation + + + +Requirements + + +Total experience of 5+ years +Experience with data science projects for healthcare and/or health insurance clients, including areas such as care management, utilization management, etc +Knowledge of healthcare and payer data (such as EMR and patient claims) and frameworks (STARS, HEDIS, etc.) +Expected technology/tools: Python, Tableau, SQL +Good communication and ability to work independently with multiple client stakeholders + + + +Benefits + +This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. +Show more ","
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+ Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple geographies across the US, UK, India, Australia, Canada, Mexico, and Singapore, and a substantial remote global workforce.

We are looking for a Data Scientist who will apply strong expertise in healthcare and payer data (such as EMR and patient claims) and frameworks (STARS, HEDIS, etc.) to design, prototype, and build next-generation advanced analytics engines and services to add to our team.

Key Responsibilities

  • This role will collaborate with different stakeholders from across the organization to develop analytics to provide information, insights, and BI (Business Intelligence) solutions across one or more functional areas (care management, contracting and commercial, utilization management, etc.). Key activities include analyzing data requests using both curated data marts and disparate internal and external sources
  • Leverages advanced analytics methods to create insightful recommendations and conclusions that may be communicated to the stakeholder
  • Supports IT on the ongoing improvement of Mount Sinai's integrated data warehouse
  • Coordinates with multiple business and technology functional stakeholders and manages projects effectively
  • Prepares clear, well-organized project-specific documentation


Requirements

  • Total experience of 5+ years
  • Experience with data science projects for healthcare and/or health insurance clients, including areas such as care management, utilization management, etc
  • Knowledge of healthcare and payer data (such as EMR and patient claims) and frameworks (STARS, HEDIS, etc.)
  • Expected technology/tools: Python, Tableau, SQL
  • Good communication and ability to work independently with multiple client stakeholders


Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. +
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",2024-07-31,[] +3985653496,https://ca.linkedin.com/jobs/view/data-scientist-at-astek-3985653496?position=13&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=UHNcYRHfxSG55KtjjNwJ8g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Astek,"Mississauga, Ontario, Canada","The Astek Group + + + + +Founded in France in 1988, Astek is a global player in engineering and technology consulting. With its expertise in various industrial and tertiary sectors, Astek supports its international clients in the intelligent deployment of their products and services, as well as in the implementation of their digital transformation. + + + + +Since its inception, the Group has based its development on a strong culture of entrepreneurship and innovation, and on the support and upskilling of its 7800 employees who are committed every day to promoting the complementarity between digital technologies and complex system engineering. + + + + +In Canada, the firm specializes in IT consulting services and engineering. Our teams successfully drive our clients' development strategies. Around common values, we have gained their trust and address their business challenges by putting their needs at the center of our actions and priorities. + + + + +This ecosystem of expertise enables Astek Canada to adapt quickly to evolving technologies, and all employees participate collaboratively in their development. + + + + +Are you ready to take on a new challenge, give your career a boost, and participate in innovative and stimulating projects? + + + + +Join a rapidly growing Group in Canada and worldwide that achieved a turnover of €600 million in 2023. + + + + + + + + + + +What we will achieve together : + + + + +Responsible for designing and developing predictive models and algorithms to analyze and interpret complex data sets. They use their expertise in statistics, machine learning, and data mining to identify patterns and insights in data, and communicate their findings to stakeholders. They also collaborate with other data professionals to develop data-driven solutions to business problems. + + + + + + + +Your mission would be : + + + + +• Create and maintain NLP models leveraging Huggingface Transformers. + +• Working on Google Cloud, leveraging best practices for cloud. + +• Generating new use case ideas to solve business problems/improve results. + + + + + + + +Your profile : + + + + +• Top 3 skills sets and qualifications : NLP modelling experience, leveraging Huggingface Transformers. + +• Experience working on Google Cloud. + +• Knowledge of prompt engineering and LLMs (Large Language Models), especially RAG and PEFT. + + + + + + + +Let's meet : + +Do you like our common project? + +Apply here and join our team! + + + + + + + +Our Advantages : + +• A tailored CARE policy deployed by our HR teams for our employees. + +• Our Diversity Charter. + +• Activities among colleagues such as Teambuilding or Happy Hours. + +Show more ","
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The Astek Group


Founded in France in 1988, Astek is a global player in engineering and technology consulting. With its expertise in various industrial and tertiary sectors, Astek supports its international clients in the intelligent deployment of their products and services, as well as in the implementation of their digital transformation.


Since its inception, the Group has based its development on a strong culture of entrepreneurship and innovation, and on the support and upskilling of its 7800 employees who are committed every day to promoting the complementarity between digital technologies and complex system engineering.


In Canada, the firm specializes in IT consulting services and engineering. Our teams successfully drive our clients' development strategies. Around common values, we have gained their trust and address their business challenges by putting their needs at the center of our actions and priorities.


This ecosystem of expertise enables Astek Canada to adapt quickly to evolving technologies, and all employees participate collaboratively in their development.


Are you ready to take on a new challenge, give your career a boost, and participate in innovative and stimulating projects?


Join a rapidly growing Group in Canada and worldwide that achieved a turnover of €600 million in 2023.




What we will achieve together :


Responsible for designing and developing predictive models and algorithms to analyze and interpret complex data sets. They use their expertise in statistics, machine learning, and data mining to identify patterns and insights in data, and communicate their findings to stakeholders. They also collaborate with other data professionals to develop data-driven solutions to business problems.



Your mission would be :


• Create and maintain NLP models leveraging Huggingface Transformers.

• Working on Google Cloud, leveraging best practices for cloud.

• Generating new use case ideas to solve business problems/improve results.



Your profile :


• Top 3 skills sets and qualifications : NLP modelling experience, leveraging Huggingface Transformers.

• Experience working on Google Cloud.

• Knowledge of prompt engineering and LLMs (Large Language Models), especially RAG and PEFT.



Let's meet :

Do you like our common project?

Apply here and join our team!



Our Advantages :

• A tailored CARE policy deployed by our HR teams for our employees.

• Our Diversity Charter.

• Activities among colleagues such as Teambuilding or Happy Hours.

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",2024-07-30,[] +3972640358,https://ca.linkedin.com/jobs/view/data-scientist-healthcare-data-product-at-loblaw-companies-limited-3972640358?position=15&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=R6V%2Bp60uRCltW%2Fsh5NHxBw%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Healthcare Data Product",Loblaw Companies Limited,"Brampton, Ontario, Canada","Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®. + + + + +At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong. + +Does working with some of Canada’s most versatile minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology & Analytics powers game-changing retail solutions, giving our customers the ability to live their lives well. + + + + +Come work with a team that values diverse ideas, prioritizes a culture of inclusion and develops our talent from within. Loblaw Technology & Analytics gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more! + + + + +Data Scientist II, Healthcare Data Product, Brampton, ON + + + + +We are looking for an experienced, dedicated Data Scientist to join team of Healthcare Data Product to build and enhance our user’s engagement projects. We are growing our user focus, using our outstanding insights through a consultative approach with internal and external partners. You will get a sense of the big picture here, and a chance to make valuable contributions to very complex projects. The successful candidate will have a proven grasp of industry standards. We are looking for people that are passionate about what they do and want to progress their career as part of a cohesive, forward-thinking team. + + + + +What You’ll Do: + +Actively identify and implement initiatives to improve data extraction, data preparation and data modelling processes +Build machine learning models and perform advanced statistical analysis, fine-tuning using test and experiment results +Collaborate with product owners/managers to clarify requirements to align on expectations +Be a strong individual contributor who can demonstrate the feasibility of novel ML approaches and estimate business value at scale. +Support the organization in adopting best practices and becoming a mature data & insights-driven enterprise. +Rigorously adhere to legal and compliance guidelines; regarding access and exposure to confidential information + + + + +What you Bring: + +A great teammate, self-starter and ability to work in a fast-paced environment +Superb analytical and critical thinking skills +Data Science, Machine Learning or related experience in modelling business processes. Deep knowledge in math, probability, statistics and algorithms +Strong programming skills with Python. Proficient with machine learning frameworks and libraries +Advanced knowledge in SQL +Experience using collaborative coding and version control: git, visual code studio +Great communication skills, the ability to set the right expectations with stakeholders and a passion for delivering value at scale. + + + + + + + +What Loblaw Offers You + +We offer flexibility and balance, and an environment that sets you up for success no matter where your workspace is located. + +Here, you will find a great team to help you achieve your goals as you help us achieve ours! Work in our fast-paced, exciting Technology environment, helping our stores, colleagues and customers every day. + + + + +Loblaw colleagues also enjoy: + +Work Perks Program +On-site GoodLife Fitness, Basketball & Volleyball courts, Ice Rink, Groceries delivered to work via PC Express, Dry Cleaning services (1PCC Office) +Tuition Reimbursement & Online Learning +Pension & Benefits +Paid Vacation + + + + + + + +If you’re up to the challenge, then we would love to hear from you. Apply today, and get the process started. + + + + + + + +Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. At Loblaw, we celebrate diversity and strive to build a culture of inclusion where differences are embraced, valued and supported. We are committed to being an equal opportunity employer and encourage people from all backgrounds and identities to apply to our jobs. Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities. + +We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted. + +www.Loblaw.ca/careers + +Show more ","
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Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.


At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

Does working with some of Canada’s most versatile minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology & Analytics powers game-changing retail solutions, giving our customers the ability to live their lives well.


Come work with a team that values diverse ideas, prioritizes a culture of inclusion and develops our talent from within. Loblaw Technology & Analytics gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more!


Data Scientist II, Healthcare Data Product, Brampton, ON


We are looking for an experienced, dedicated Data Scientist to join team of Healthcare Data Product to build and enhance our user’s engagement projects. We are growing our user focus, using our outstanding insights through a consultative approach with internal and external partners. You will get a sense of the big picture here, and a chance to make valuable contributions to very complex projects. The successful candidate will have a proven grasp of industry standards. We are looking for people that are passionate about what they do and want to progress their career as part of a cohesive, forward-thinking team.


What You’ll Do:

  • Actively identify and implement initiatives to improve data extraction, data preparation and data modelling processes
  • Build machine learning models and perform advanced statistical analysis, fine-tuning using test and experiment results
  • Collaborate with product owners/managers to clarify requirements to align on expectations
  • Be a strong individual contributor who can demonstrate the feasibility of novel ML approaches and estimate business value at scale.
  • Support the organization in adopting best practices and becoming a mature data & insights-driven enterprise.
  • Rigorously adhere to legal and compliance guidelines; regarding access and exposure to confidential information


What you Bring:

  • A great teammate, self-starter and ability to work in a fast-paced environment
  • Superb analytical and critical thinking skills
  • Data Science, Machine Learning or related experience in modelling business processes. Deep knowledge in math, probability, statistics and algorithms
  • Strong programming skills with Python. Proficient with machine learning frameworks and libraries
  • Advanced knowledge in SQL
  • Experience using collaborative coding and version control: git, visual code studio
  • Great communication skills, the ability to set the right expectations with stakeholders and a passion for delivering value at scale.



What Loblaw Offers You

We offer flexibility and balance, and an environment that sets you up for success no matter where your workspace is located.

Here, you will find a great team to help you achieve your goals as you help us achieve ours! Work in our fast-paced, exciting Technology environment, helping our stores, colleagues and customers every day.


Loblaw colleagues also enjoy:

  • Work Perks Program
  • On-site GoodLife Fitness, Basketball & Volleyball courts, Ice Rink, Groceries delivered to work via PC Express, Dry Cleaning services (1PCC Office)
  • Tuition Reimbursement & Online Learning
  • Pension & Benefits
  • Paid Vacation



If you’re up to the challenge, then we would love to hear from you. Apply today, and get the process started.



Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. At Loblaw, we celebrate diversity and strive to build a culture of inclusion where differences are embraced, valued and supported. We are committed to being an equal opportunity employer and encourage people from all backgrounds and identities to apply to our jobs. Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities.

We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

www.Loblaw.ca/careers

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",2024-07-11,[] +3913554686,https://ca.linkedin.com/jobs/view/full-stack-engineer-at-paymentus-3913554686?position=18&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=eYS3Bj6Gr2izvAC%2B9%2FH61Q%3D%3D&trk=public_jobs_jserp-result_search-card,Full Stack Engineer,Paymentus,"Greater Toronto Area, Canada","Summary + +Paymentus leads the North American marketplace in electronic bill payment solutions and is looking for high performers to join our development team building SaaS Fintech solutions across a range of industries. You will contribute to a massively scalable data platform, that is built on top of a world class enterprise platform, supporting thousands of clients and into the millions of transactions daily. Paymentus' success and rapid growth provides employees with opportunities for career advancement. + + + + +Who you are + +You're a self driven Full Stack Developer seeking to understand and transform requirements into core features of an evolving payment platform, who collaborates with expert team members to enhance user experience within the payment space, and who enjoys writing great code! You challenge yourself to go beyond the original request and solve the root problem, build test-driven code, embrace new technologies, and innovate. + + + + +Essential Functions/ Responsibilities + +Collaborate with cross-functional teams in an agile environment +Working with talented developers from diverse backgrounds, continually learning, and applying best practices to development +Gathering and clarifying requirements from the business team. Planning, designing, and developing enhancements to the existing application +Applying good enterprise development practices, developing and executing comprehensive test suites to ensure high quality of the deliverables +Extensively profiling and deeply analyzing product using performance and debugging tools + + + + +What's in it for you? + +Impact: work on a service that will be used directly by millions of people, solving business problems for some of the largest players in their respective industry, using cutting-edge technologies +Innovate: continually learning new technologies to create better customer experiences and be a part of defining the next generation bill payment platform +Learn: work with talented individuals and leaders with diverse backgrounds and experiences +Have fun: surround yourself with engineers who like to solve problems and have fun + + + + +This Role's Requirements + +Undergraduate degree in Computer Science or related field +Strong knowledge of OOP principles with 1-3+ years of experience with Java development or other object-oriented programming languages +Familiar with HTTP protocol and RESTful APIs +Responsive web development experience using HTML5, CSS3 (LESS, SASS, etc) +Experience with server-side scalability and performance +Familiar with information architecture structure and design +Experience in Agile/SCRUM methodologies for software development +1-3+ years of commercial software development experience in Java +1-3+ years experience with J2EE frameworks such as Springboot, Spring MVC +1+ years database experience (Oracle 11g, PL/SQL, MongoDB) +Working understanding of relational database and NoSQL database concepts + + + + +Nice to Have + +Node.js / Express.js middleware to build microservices +Experience with one or more UI frameworks: React, Angular, Vue +Nginx, Tomcat 8.x+ +Testing frameworks including Selenium, JUnit, Mocha, Jest +Cloud technologies such as AWS, GCP, Azure +Eclipse, IntelliJ / WebStorm, Visual Studio Code +GIT, or similar distributed source control with Mercurial, Subversion, etc. +Familiarity with Linux or BSD + + + + +Work Environment + +This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones. + + + + +Physical Demands + +Requires sitting or standing at a computer desk for extended periods of time. + + + + +Position Type/Expected Hours of Work + +This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand. + + + + +Other Duties + +Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. + + + + +EEO Statement + +Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protecteFd by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. + + + + +Reasonable Accommodation + +Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. + + + + +An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor. + +Show more ","
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Summary

Paymentus leads the North American marketplace in electronic bill payment solutions and is looking for high performers to join our development team building SaaS Fintech solutions across a range of industries. You will contribute to a massively scalable data platform, that is built on top of a world class enterprise platform, supporting thousands of clients and into the millions of transactions daily. Paymentus' success and rapid growth provides employees with opportunities for career advancement.


Who you are

You're a self driven Full Stack Developer seeking to understand and transform requirements into core features of an evolving payment platform, who collaborates with expert team members to enhance user experience within the payment space, and who enjoys writing great code! You challenge yourself to go beyond the original request and solve the root problem, build test-driven code, embrace new technologies, and innovate.


Essential Functions/ Responsibilities

  • Collaborate with cross-functional teams in an agile environment
  • Working with talented developers from diverse backgrounds, continually learning, and applying best practices to development
  • Gathering and clarifying requirements from the business team. Planning, designing, and developing enhancements to the existing application
  • Applying good enterprise development practices, developing and executing comprehensive test suites to ensure high quality of the deliverables
  • Extensively profiling and deeply analyzing product using performance and debugging tools


What's in it for you?

  • Impact: work on a service that will be used directly by millions of people, solving business problems for some of the largest players in their respective industry, using cutting-edge technologies
  • Innovate: continually learning new technologies to create better customer experiences and be a part of defining the next generation bill payment platform
  • Learn: work with talented individuals and leaders with diverse backgrounds and experiences
  • Have fun: surround yourself with engineers who like to solve problems and have fun


This Role's Requirements

  • Undergraduate degree in Computer Science or related field
  • Strong knowledge of OOP principles with 1-3+ years of experience with Java development or other object-oriented programming languages
  • Familiar with HTTP protocol and RESTful APIs
  • Responsive web development experience using HTML5, CSS3 (LESS, SASS, etc)
  • Experience with server-side scalability and performance
  • Familiar with information architecture structure and design
  • Experience in Agile/SCRUM methodologies for software development
  • 1-3+ years of commercial software development experience in Java
  • 1-3+ years experience with J2EE frameworks such as Springboot, Spring MVC
  • 1+ years database experience (Oracle 11g, PL/SQL, MongoDB)
  • Working understanding of relational database and NoSQL database concepts


Nice to Have

  • Node.js / Express.js middleware to build microservices
  • Experience with one or more UI frameworks: React, Angular, Vue
  • Nginx, Tomcat 8.x+
  • Testing frameworks including Selenium, JUnit, Mocha, Jest
  • Cloud technologies such as AWS, GCP, Azure
  • Eclipse, IntelliJ / WebStorm, Visual Studio Code
  • GIT, or similar distributed source control with Mercurial, Subversion, etc.
  • Familiarity with Linux or BSD


Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones.


Physical Demands

Requires sitting or standing at a computer desk for extended periods of time.


Position Type/Expected Hours of Work

This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand.


Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.


EEO Statement

Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protecteFd by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment.


Reasonable Accommodation

Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others.


An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

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",2024-07-23,[] +3976183883,https://ca.linkedin.com/jobs/view/pyspark-developer-at-synechron-3976183883?position=19&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=ngJci3eGNcIDXTCSACNcuQ%3D%3D&trk=public_jobs_jserp-result_search-card,PySpark Developer,Synechron,"Mississauga, Ontario, Canada","Overview: + +Looking strong PySpark skills with rich experience in Financial data. Models will be created and developed. + +Skills: + +·Scala, Python, PySpark, Python livraries SQL, PL/SQL, Linux shell scripts + +·Hadoop Ecosystem + +·HDFS, Spark/PySpark, YARN, Hive, Hbase, Impala, Zookeeper, Sqoop, Oozie, Drill, Flume, Spark/PySpark, Solr and Avro, AWS, Amazon EC2, S3, Azure Databricks + +·Experience working on financial data is a MUST + +·Financial data working includes income statement, balance sheet, cash flow statement + +·Types of models worked on include discounted cash flow analysis (DCF model), leveraged buyout (LBO), mergers and acquisitions (M&A), and sensitivity analysis + + + + +We can offer you: + + + + +• A highly competitive compensation and benefits package + +• A multinational organization with 55 offices in 20 countries and the possibility to work abroad + +• Laptop and a mobile phone + +• 15 days of paid annual leave (plus sick leave and national holidays) + +• A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region) + +• Retirement savings plans + +• A higher education certification policy + +• Extensive training opportunities, focused on skills, substantive knowledge, and personal development + +• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses + +• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups + +• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms, flat and approachable organization + +• A truly diverse, fun-loving and global work culture. + + + + +SYNECHRON'S DIVERSITY & INCLUSION STATEMENT + + + + +Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. + +All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. + +Show more ","
+ + + + + +
+
+

Overview:

Looking strong PySpark skills with rich experience in Financial data. Models will be created and developed.

Skills:

·Scala, Python, PySpark, Python livraries SQL, PL/SQL, Linux shell scripts

·Hadoop Ecosystem

·HDFS, Spark/PySpark, YARN, Hive, Hbase, Impala, Zookeeper, Sqoop, Oozie, Drill, Flume, Spark/PySpark, Solr and Avro, AWS, Amazon EC2, S3, Azure Databricks

·Experience working on financial data is a MUST

·Financial data working includes income statement, balance sheet, cash flow statement

·Types of models worked on include discounted cash flow analysis (DCF model), leveraged buyout (LBO), mergers and acquisitions (M&A), and sensitivity analysis


We can offer you:


• A highly competitive compensation and benefits package

• A multinational organization with 55 offices in 20 countries and the possibility to work abroad

• Laptop and a mobile phone

• 15 days of paid annual leave (plus sick leave and national holidays)

• A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)

• Retirement savings plans

• A higher education certification policy

• Extensive training opportunities, focused on skills, substantive knowledge, and personal development

• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses

• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups

• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms, flat and approachable organization

• A truly diverse, fun-loving and global work culture.


SYNECHRON'S DIVERSITY & INCLUSION STATEMENT


Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-16,[] +3977514843,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-deeprec-ai-3977514843?position=20&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=0Q80QQC59GMZumo7we2gGQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,DeepRec.ai,"Toronto, Ontario, Canada","My client specializes in cutting-edge AI for video generation, pushing the boundaries of visual content production. + + + + +Job Title: Machine Learning Engineer + +Work Arrangement: Hybrid + +Location: Toronto, Canada + +Salary: Up-to $250,000 USD + + + + +Role Description: + +As a Machine Learning Engineer, you will primarily focus on the inference side, maintaining the training infrastructure and supporting various data transformations. This includes developing and managing internal tools for data cleaning and pre-processing to ensure high-quality data for model training and evaluation. + + + + +Required Qualifications: + +Experience in GANs, NeRFs, Gaussian Splatting, Diffusion Models or video generation. +Proficient in Python and deep learning frameworks (TensorFlow/PyTorch). + +Show more ","
+ + + + + +
+
+

My client specializes in cutting-edge AI for video generation, pushing the boundaries of visual content production.


Job Title: Machine Learning Engineer

Work Arrangement: Hybrid

Location: Toronto, Canada

Salary: Up-to $250,000 USD


Role Description:

As a Machine Learning Engineer, you will primarily focus on the inference side, maintaining the training infrastructure and supporting various data transformations. This includes developing and managing internal tools for data cleaning and pre-processing to ensure high-quality data for model training and evaluation.


Required Qualifications:

  • Experience in GANs, NeRFs, Gaussian Splatting, Diffusion Models or video generation.
  • Proficient in Python and deep learning frameworks (TensorFlow/PyTorch).

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-16,[] +3988618128,https://ca.linkedin.com/jobs/view/data-scientist-at-billups-3988618128?position=21&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=ZIhV0jVbCNxR3am%2F4ZjBXw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,billups,"Toronto, Ontario, Canada","**This is a fully remote, work from home opportunity; However, candidates must reside on the East Coast US, Ontario Canada or Amsterdam. + + + + +The Data Scientist position is integral to the development of the AdTech initiatives of the Company by performing the following duties: + + + + +Job Duties + +Collecting, cleaning, and preprocessing large datasets from various sources to ensure data quality and usability for data analysis and modeling. +Designing, building, and maintaining data pipelines, ensuring the efficient flow and accessibility of data through the technology division. +Working closely with cross-functional teams, including data scientists, analysts, engineers, and product managers, to understand project requirements and deliver impactful solutions. +Conducting original research to explain large scale human behaviors and how they are affected by exposure to out of home media. +Developing, testing and deploying data science products to support business needs. + + + + +Qualifications + +Ability to perform essential job duties with or without reasonable accommodation and without posing a direct threat to safety or health of employee or others. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. + + + + +Education & Experience + +M.S./Ph.D. degree in Computer Science, Engineering, or related analytical field or B.S. degree in the above analytical fields with 2-4 years related experience and/or training. + + + + +Experience and Skills + +Proficiency in programming languages such as Python or R. +Understanding of SQL and experience with relational databases. +Experience with data pipeline tools and ETL processes. +Familiarity with distributed computing tools such as Apache Spark and cloud platforms (e.g., AWS, Azure or Google Cloud). +Experience (or demonstrable ability) in training and deploying production engineering models. +Experience collaborating with cross-functional teams. +Experience with medium-to-large datasets. +Excellent communication skills. + + + + +Preferred Qualifications + +Good understanding of machine learning algorithms and statistical models. +Experience in machine learning frameworks and libraries, such as TensorFlow, PyTorch, etc. +Good understanding of software development best practices, including version control, code review, testing. +Experience with continuous integration/continuous deployment tools. +Familiarity with Databricks or similar data analysis and modeling platforms. +Experience in API gateway. + + + + +Interpersonal Skills + +Ability to communicate deeply technical concepts to non-technical stakeholders clearly and succinctly. +Write clearly and informatively. +Contribute to building a positive team spirit. +Able to deal with frequent change, delays, or unexpected events. +Balance team and individual responsibilities. + +Show more ","
+ + + + + +
+
+

**This is a fully remote, work from home opportunity; However, candidates must reside on the East Coast US, Ontario Canada or Amsterdam.


The Data Scientist position is integral to the development of the AdTech initiatives of the Company by performing the following duties:


Job Duties

  • Collecting, cleaning, and preprocessing large datasets from various sources to ensure data quality and usability for data analysis and modeling.
  • Designing, building, and maintaining data pipelines, ensuring the efficient flow and accessibility of data through the technology division.
  • Working closely with cross-functional teams, including data scientists, analysts, engineers, and product managers, to understand project requirements and deliver impactful solutions.
  • Conducting original research to explain large scale human behaviors and how they are affected by exposure to out of home media.
  • Developing, testing and deploying data science products to support business needs.


Qualifications

Ability to perform essential job duties with or without reasonable accommodation and without posing a direct threat to safety or health of employee or others. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.


Education & Experience

M.S./Ph.D. degree in Computer Science, Engineering, or related analytical field or B.S. degree in the above analytical fields with 2-4 years related experience and/or training.


Experience and Skills

  • Proficiency in programming languages such as Python or R.
  • Understanding of SQL and experience with relational databases.
  • Experience with data pipeline tools and ETL processes.
  • Familiarity with distributed computing tools such as Apache Spark and cloud platforms (e.g., AWS, Azure or Google Cloud).
  • Experience (or demonstrable ability) in training and deploying production engineering models.
  • Experience collaborating with cross-functional teams.
  • Experience with medium-to-large datasets.
  • Excellent communication skills.


Preferred Qualifications

  • Good understanding of machine learning algorithms and statistical models.
  • Experience in machine learning frameworks and libraries, such as TensorFlow, PyTorch, etc.
  • Good understanding of software development best practices, including version control, code review, testing.
  • Experience with continuous integration/continuous deployment tools.
  • Familiarity with Databricks or similar data analysis and modeling platforms.
  • Experience in API gateway.


Interpersonal Skills

  • Ability to communicate deeply technical concepts to non-technical stakeholders clearly and succinctly.
  • Write clearly and informatively.
  • Contribute to building a positive team spirit.
  • Able to deal with frequent change, delays, or unexpected events.
  • Balance team and individual responsibilities.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3984930371,https://ca.linkedin.com/jobs/view/data-science-specialist-at-orion-innovation-3984930371?position=23&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=hGvBqfQBd1MY%2B3DLzVGuNw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Specialist,Orion Innovation,"Mississauga, Ontario, Canada","Job Title: Senior NLP Data Scientist + +Location: Mississauga, Ontario + +Type: Hybrid + +Contract: 5 months + + + + +Job Summary: + +On behalf of our clients we are seeking a talented and innovative Senior NLP Data Scientist to join our Data Science team. In this role, you will be at the forefront of developing and implementing cutting-edge Natural Language Processing (NLP) solutions, leveraging state-of-the-art technologies like Hugging Face Transformers and Large Language Models (LLMs). You will work closely with cross-functional teams to drive business value through advanced NLP applications. + + + + +Key Responsibilities: + +• Create, maintain, and optimize NLP models using Hugging Face Transformers + +• Develop and implement LLM solutions, including prompt engineering, PEFT (Parameter-Efficient Fine-Tuning), and RAG (Retrieval-Augmented Generation) + +• Leverage Google Cloud Platform, adhering to best practices for cloud-based machine learning workflows + +• Collaborate with product managers, data engineers, ML engineers, and business stakeholders to identify and develop new use cases that solve business problems and improve results + +• Conduct model training, fine-tuning, and performance optimization to ensure high-quality NLP solutions + +• Stay current with the latest advancements in NLP and LLMs, continuously improving our technological capabilities + + + + +Qualifications and Skills: + +Required: + +• Master's degree or Ph.D. in Computer Science, Data Science, or a related field + +• 7+ years of experience in NLP modeling, with a strong focus on using Hugging Face Transformers + +• Proficiency in Python and relevant NLP/ML libraries (e.g., PyTorch, TensorFlow) + +• Hands-on experience working with Google Cloud Platform for ML workflows + +• Strong understanding of machine learning principles and their application to NLP tasks + +• Excellent communication skills and ability to work effectively in cross-functional teams + +• Experience with prompt engineering and working with Large Language Models + +• Familiarity with PEFT and RAG techniques for LLM optimization + +• Track record of implementing NLP solutions that drive business value + +• Experience in an agile development environment + +Show more ","
+ + + + + +
+
+

Job Title: Senior NLP Data Scientist

Location: Mississauga, Ontario

Type: Hybrid

Contract: 5 months


Job Summary:

On behalf of our clients we are seeking a talented and innovative Senior NLP Data Scientist to join our Data Science team. In this role, you will be at the forefront of developing and implementing cutting-edge Natural Language Processing (NLP) solutions, leveraging state-of-the-art technologies like Hugging Face Transformers and Large Language Models (LLMs). You will work closely with cross-functional teams to drive business value through advanced NLP applications.


Key Responsibilities:

• Create, maintain, and optimize NLP models using Hugging Face Transformers

• Develop and implement LLM solutions, including prompt engineering, PEFT (Parameter-Efficient Fine-Tuning), and RAG (Retrieval-Augmented Generation)

• Leverage Google Cloud Platform, adhering to best practices for cloud-based machine learning workflows

• Collaborate with product managers, data engineers, ML engineers, and business stakeholders to identify and develop new use cases that solve business problems and improve results

• Conduct model training, fine-tuning, and performance optimization to ensure high-quality NLP solutions

• Stay current with the latest advancements in NLP and LLMs, continuously improving our technological capabilities


Qualifications and Skills:

Required:

• Master's degree or Ph.D. in Computer Science, Data Science, or a related field

• 7+ years of experience in NLP modeling, with a strong focus on using Hugging Face Transformers

• Proficiency in Python and relevant NLP/ML libraries (e.g., PyTorch, TensorFlow)

• Hands-on experience working with Google Cloud Platform for ML workflows

• Strong understanding of machine learning principles and their application to NLP tasks

• Excellent communication skills and ability to work effectively in cross-functional teams

• Experience with prompt engineering and working with Large Language Models

• Familiarity with PEFT and RAG techniques for LLM optimization

• Track record of implementing NLP solutions that drive business value

• Experience in an agile development environment

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3983278338,https://ca.linkedin.com/jobs/view/data-scientist-at-modis-3983278338?position=24&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=P8MY%2FM28gv3u9UBkEIXOGA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Modis,"Toronto, Ontario, Canada","Strong fundamental understanding of statistics + +• 8+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models + +• 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro) + +• Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows) + +• Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams + +• Knowledge and experience with credit risk models / scorecards + +• Domain expertise with any retail & small business banking products and/or risk management practices + +• FRM, CFA credentials + +• Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps + +• Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user + +• Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS) + +Show more ","
+ + + + + +
+
+

Strong fundamental understanding of statistics

• 8+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models

• 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)

• Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)

• Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams

• Knowledge and experience with credit risk models / scorecards

• Domain expertise with any retail & small business banking products and/or risk management practices

• FRM, CFA credentials

• Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps

• Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user

• Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3987388875,https://ca.linkedin.com/jobs/view/data-scientist-at-rakuten-rewards-3987388875?position=25&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=nO1aZClG13vEue7ekSsL3w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Rakuten Rewards,"Toronto, Ontario, Canada","Job Description: + +Do you love solving complex business problems using statistical modeling and machine learning? Do you want to contribute to the transformation of a business at scale, introducing automation and optimization across products and business systems? Rakuten Rewards is looking for a data scientist. + +The Data Science team supports a wide spectrum of business domains including user experience personalization (e.g. consumer recommendations), forecasting and optimization of advertising campaigns, anomaly detection/alerting, etc. The scope of our work is broad and still expanding. As a data scientist at Rakuten Rewards, you will have the opportunity to develop and deploy solutions to challenging, practical business problems. Your work will improve the experience of our members and impact the business bottom line. + +Key Responsibilities + + +Collaborate with manager and stakeholders to specify business problems with precision +Support the translation of business problems into machine learning problems, including ML problem formulation and evaluation metric specification. +Perform exploratory data analyses to characterize utility of existing data and to identify needs for new data +Develop data pipelines for feature computation, model training, inference and evaluation +Design and execute offline experiments and simulations +Lead model deployment, business integration and online performance assessment +Maintain technical documentation, develop/present demos and presentations +Support management in project planning and status reporting + + +Minimum Requirements + + +Very strong SQL skills +Experience with big data and machine learning frameworks. Python/sklearn/pytorch strongly preferred. +Practical experience with multiple ML problem types (supervised/unsupervised, classification/regression, RL experience is a plus) +Strong software development skills +Strong problem solving, communication and collaboration skills +Firm understanding of statistics and A/B test fundamentals +Experience with NLP techniques is a plus +Deep learning/NN experience is a plus + + +Qualification Requirements + + +3+ years industry experience applying machine learning methods to solve real-world problems +Bachelor’s degree in AI/ML, computational mathematics, computer science, statistics, physics or related field. Master’s degree strongly preferred. +Experience in ad-tech and/or consumer services is a plus + + +Five Principles for Success + +Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success. + +Always improve, Always Advance - Only be satisfied with complete success - Kaizen + +Passionately Professional - Take an uncompromising approach to your work and be determined to be the best + +Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory + +Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile + +Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team + +Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws. +Show more ","
+ + + + + +
+
+ Job Description:

Do you love solving complex business problems using statistical modeling and machine learning? Do you want to contribute to the transformation of a business at scale, introducing automation and optimization across products and business systems? Rakuten Rewards is looking for a data scientist.

The Data Science team supports a wide spectrum of business domains including user experience personalization (e.g. consumer recommendations), forecasting and optimization of advertising campaigns, anomaly detection/alerting, etc. The scope of our work is broad and still expanding. As a data scientist at Rakuten Rewards, you will have the opportunity to develop and deploy solutions to challenging, practical business problems. Your work will improve the experience of our members and impact the business bottom line.

Key Responsibilities

  • Collaborate with manager and stakeholders to specify business problems with precision
  • Support the translation of business problems into machine learning problems, including ML problem formulation and evaluation metric specification.
  • Perform exploratory data analyses to characterize utility of existing data and to identify needs for new data
  • Develop data pipelines for feature computation, model training, inference and evaluation
  • Design and execute offline experiments and simulations
  • Lead model deployment, business integration and online performance assessment
  • Maintain technical documentation, develop/present demos and presentations
  • Support management in project planning and status reporting

Minimum Requirements

  • Very strong SQL skills
  • Experience with big data and machine learning frameworks. Python/sklearn/pytorch strongly preferred.
  • Practical experience with multiple ML problem types (supervised/unsupervised, classification/regression, RL experience is a plus)
  • Strong software development skills
  • Strong problem solving, communication and collaboration skills
  • Firm understanding of statistics and A/B test fundamentals
  • Experience with NLP techniques is a plus
  • Deep learning/NN experience is a plus

Qualification Requirements

  • 3+ years industry experience applying machine learning methods to solve real-world problems
  • Bachelor’s degree in AI/ML, computational mathematics, computer science, statistics, physics or related field. Master’s degree strongly preferred.
  • Experience in ad-tech and/or consumer services is a plus

Five Principles for Success

Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, Always Advance - Only be satisfied with complete success - Kaizen

Passionately Professional - Take an uncompromising approach to your work and be determined to be the best

Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory

Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile

Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team

Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3970401881,https://ca.linkedin.com/jobs/view/developer-at-tata-consultancy-services-3970401881?position=29&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=bNsifx8BP5aTWYWAbjovJA%3D%3D&trk=public_jobs_jserp-result_search-card,Developer,Tata Consultancy Services,"Toronto, Ontario, Canada","About TCS: + +Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. + + + + + + + +Skills and Responsibilities: + +•Designing, developing, deploying and maintaining software at scale using .NET, Java & API + +•Developing using Spring framework. + +•Experience with IoC, AOP and abstractions to ease application coding + +•Experience with logging tools like Splunk + +•Experience with code generation tools (Hipster) + +•Experience with Hibernate + +•Experience with database schema change frameworks like Liquibase + +•Deploying microservices as Docker containers into a Kubernetes platform. + +•Experience with CI/CD using Bamboo. + +•Application architecture patterns such as Microservices and Event-driven. Familiarity with service mesh architecture (ISTIO) would be beneficial. + +•Event broker such as Confluent Kafka + +•Designing well-defined restful APIs + +•Agile development teams, particularly a SCRUM approach + +•Experience writing API proxies on platforms such as Apigee Edge + +•Developing software applications using relational and NoSQL databases + +•Data stores such as MS SQL Server, MySQL, MongoDB or Cockroach + +•Working under pressure and within time constraints + +•Demonstrated leadership on small to medium-scale projects impacting strategic priorities + +•Passion for technology and an eagerness to contribute to a team-oriented environment + +•Strong communicator with the ability to influence outcomes and design decisions + +•Experience with Apache Karah + +•OSGI framework would be beneficial. + +•Experience with Apache Camel is an added advantage. + + + + +Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource + +Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile. + +Show more ","
+ + + + + +
+
+

About TCS:

Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.



Skills and Responsibilities:

•Designing, developing, deploying and maintaining software at scale using .NET, Java & API

•Developing using Spring framework.

•Experience with IoC, AOP and abstractions to ease application coding

•Experience with logging tools like Splunk

•Experience with code generation tools (Hipster)

•Experience with Hibernate

•Experience with database schema change frameworks like Liquibase

•Deploying microservices as Docker containers into a Kubernetes platform.

•Experience with CI/CD using Bamboo.

•Application architecture patterns such as Microservices and Event-driven. Familiarity with service mesh architecture (ISTIO) would be beneficial.

•Event broker such as Confluent Kafka

•Designing well-defined restful APIs

•Agile development teams, particularly a SCRUM approach

•Experience writing API proxies on platforms such as Apigee Edge

•Developing software applications using relational and NoSQL databases

•Data stores such as MS SQL Server, MySQL, MongoDB or Cockroach

•Working under pressure and within time constraints

•Demonstrated leadership on small to medium-scale projects impacting strategic priorities

•Passion for technology and an eagerness to contribute to a team-oriented environment

•Strong communicator with the ability to influence outcomes and design decisions

•Experience with Apache Karah

•OSGI framework would be beneficial.

•Experience with Apache Camel is an added advantage.


Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource

Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-11,[] +3915930050,https://ca.linkedin.com/jobs/view/data-scientist-decisions-rider-experience-at-lyft-3915930050?position=30&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=NoSNxTnLZg94jM8axxCgNQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Decisions - Rider Experience",Lyft,"Toronto, Ontario, Canada","At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing. + +As a Data Scientist, Decisions in the Rider team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization. + +You will report to a Data Science Manager in the Rider Science team. + +Responsibilities: + + +Leverage data and analytic frameworks to identify opportunities for growth and efficiency +Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action +Design and analyze online experiments; communicate results and act on launch decisions +Develop analytical frameworks to monitor business and product performance +Establish metrics that measure the health of our products, as well as rider and driver experience + + +Experience: + + +Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience +3+ years of industry experience in a data science or analytics role +Proficiency in SQL - able to write structured and efficient queries on large data sets +Experience in programming, especially with data science and visualization libraries in Python or R is helpful +Experience in online experimentation and statistical analysis +Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners + + +Benefits: + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +Show more ","
+ + + + + +
+
+ At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

As a Data Scientist, Decisions in the Rider team, you will leverage data and rigorous, analytical thinking to shape our rider app and make business decisions that put our customers first. You will identify and scope opportunities, shape priorities, recommend technical solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, design, engineering, business, and operations stakeholders throughout the organization.

You will report to a Data Science Manager in the Rider Science team.

Responsibilities:

  • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
  • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
  • Design and analyze online experiments; communicate results and act on launch decisions
  • Develop analytical frameworks to monitor business and product performance
  • Establish metrics that measure the health of our products, as well as rider and driver experience

Experience:

  • Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
  • 3+ years of industry experience in a data science or analytics role
  • Proficiency in SQL - able to write structured and efficient queries on large data sets
  • Experience in programming, especially with data science and visualization libraries in Python or R is helpful
  • Experience in online experimentation and statistical analysis
  • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Access to a Health Care Savings Account
  • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
  • 4 Floating Holidays each calendar year prorated based off of date of hire
  • 10 paid sick days per year regardless of province
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3970955471,https://ca.linkedin.com/jobs/view/associate-machine-learning-engineer-investment-science-at-cpp-investments-investissements-rpc-3970955471?position=31&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=GECS45XwSj%2FkRvE8Ow%2BNlg%3D%3D&trk=public_jobs_jserp-result_search-card,"Associate, Machine Learning Engineer, Investment Science",CPP Investments | Investissements RPC,"Toronto, Ontario, Canada","Company Description + +Make an impact at a global and dynamic investment organization + +When you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, São Paulo and Sydney. + +CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to: + + +Diverse and inspiring colleagues and approachable leaders +Stimulating work in a fast-paced, intellectually challenging environment +Accelerated exposure and responsibility +Global career development opportunities +Being motivated every day by CPP Investments’ important social purpose and unshakable principles +A flexible/hybrid work environment combining in office collaboration and remote working +A deeply rooted culture of Integrity, Partnership and High Performance + + +If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here’s an opportunity for you to invest your career at CPP Investments. + +Job Description + +Join CPPIB's Investment Science team and lead the transformation of investing through an increased usage of data and advanced analytical techniques such as machine learning. This role is ideal for a top performer passionate about alpha generation and interested in the intersection of finance, computer science, and mathematics. If you're eager to drive impactful investment decisions using empirical research and state-of-the-art methodologies, this opportunity is for you. As a Machine Learning Engineer, you'll be a key player in our data-driven initiatives, shaping the future of investment decision-making with innovative approaches. + +Investment Science’s initiatives encompass the development, enhancement, and systematization of investment decisions across various asset classes in both public and private markets. Our recent focus has been on driving critical decisions throughout the investing lifecycle, including capital allocation and security selection, using proprietary forecasts powered by advanced techniques such as machine learning, natural language processing, and generative AI. + +As a valued team member, you will collaborate with a diverse group of investors, researchers, and engineers. Your responsibilities will include leading or supporting the onboarding, engineering, and evaluation of new datasets; constructing and assessing predictive features; developing and implementing AI models and forecasts; and ensuring the productionalization and systematization of research outcomes and investment portfolios. + +The Opportunity + + +Develop and Enhance ML Models Build, improve, deploy, and maintain machine learning models to predict future fundamentals. Drive impact by leveraging and advancing AI/ML capabilities to enhance investment research and improve forecasting accuracy. +Advance Investment Research: Contribute to the development and application of investment research and frameworks, combining investing priors with data and advanced analytical techniques to solve key problems in the areas of capital allocation and security selection. +Alpha Generation: Apply an alpha generation mindset to data and feature engineering, prediction modeling, and portfolio construction. +Collaboration: Thrive in a fast-paced setting, working closely with investment professionals, researchers, engineers, and subject matter experts across the organization. + + +Qualifications + +Background: + + +Bachelor's or Master’s degree in Computer Science, Data Science, Statistics or related quantitative fields. +Two to three years of full-time experience. +Investment experience is an asset. Alternatively, strong demonstrated interest in investing and financial data and decision-making. + + +Core Technical + + +Exceptional programming skills are required, preferably in Python, but also open to C/C++, C#, or Java. +Experience developing, implementing, and deploying scalable ML models and pipelines in research and production environments, including experience with ML frameworks and libraries (e.g., scikit-learn). +Experience with big data processing frameworks such as PySpark is an asset. +NLP proficiency and/or experience utilizing LLMs/Foundation Models is advantageous. + + +Mindset + + +Demonstrated growth mindset and intellectual curiosity, with a passion for creating value for the Fund and continuously improving one’s technical capabilities (e.g., researching various AI techniques). +Strong critical thinking, analytical and problem-solving skills. +Excellent written and verbal communication skills, with an interest in developing people management and stakeholder influencing skills. +Ability to work & thrive in an entrepreneurial environment and be a self-starter. +Commitment to exemplifying CPP Investments' Guiding Principles of Integrity, Partnership, and High Performance. + + +Additional Information + +Visit our LinkedIn Career Page or Follow us on LinkedIn. + +At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability. + +We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process. + +Our Commitment To Inclusion And Diversity + +In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs. + +Disclaimer + +CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information. + + +Show more ","
+ + + + + +
+
+ Company Description

Make an impact at a global and dynamic investment organization

When you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, São Paulo and Sydney.

CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:

  • Diverse and inspiring colleagues and approachable leaders
  • Stimulating work in a fast-paced, intellectually challenging environment
  • Accelerated exposure and responsibility
  • Global career development opportunities
  • Being motivated every day by CPP Investments’ important social purpose and unshakable principles
  • A flexible/hybrid work environment combining in office collaboration and remote working
  • A deeply rooted culture of Integrity, Partnership and High Performance

If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here’s an opportunity for you to invest your career at CPP Investments.

Job Description

Join CPPIB's Investment Science team and lead the transformation of investing through an increased usage of data and advanced analytical techniques such as machine learning. This role is ideal for a top performer passionate about alpha generation and interested in the intersection of finance, computer science, and mathematics. If you're eager to drive impactful investment decisions using empirical research and state-of-the-art methodologies, this opportunity is for you. As a Machine Learning Engineer, you'll be a key player in our data-driven initiatives, shaping the future of investment decision-making with innovative approaches.

Investment Science’s initiatives encompass the development, enhancement, and systematization of investment decisions across various asset classes in both public and private markets. Our recent focus has been on driving critical decisions throughout the investing lifecycle, including capital allocation and security selection, using proprietary forecasts powered by advanced techniques such as machine learning, natural language processing, and generative AI.

As a valued team member, you will collaborate with a diverse group of investors, researchers, and engineers. Your responsibilities will include leading or supporting the onboarding, engineering, and evaluation of new datasets; constructing and assessing predictive features; developing and implementing AI models and forecasts; and ensuring the productionalization and systematization of research outcomes and investment portfolios.

The Opportunity

  • Develop and Enhance ML Models Build, improve, deploy, and maintain machine learning models to predict future fundamentals. Drive impact by leveraging and advancing AI/ML capabilities to enhance investment research and improve forecasting accuracy.
  • Advance Investment Research: Contribute to the development and application of investment research and frameworks, combining investing priors with data and advanced analytical techniques to solve key problems in the areas of capital allocation and security selection.
  • Alpha Generation: Apply an alpha generation mindset to data and feature engineering, prediction modeling, and portfolio construction.
  • Collaboration: Thrive in a fast-paced setting, working closely with investment professionals, researchers, engineers, and subject matter experts across the organization.

Qualifications

Background:

  • Bachelor's or Master’s degree in Computer Science, Data Science, Statistics or related quantitative fields.
  • Two to three years of full-time experience.
  • Investment experience is an asset. Alternatively, strong demonstrated interest in investing and financial data and decision-making.

Core Technical

  • Exceptional programming skills are required, preferably in Python, but also open to C/C++, C#, or Java.
  • Experience developing, implementing, and deploying scalable ML models and pipelines in research and production environments, including experience with ML frameworks and libraries (e.g., scikit-learn).
  • Experience with big data processing frameworks such as PySpark is an asset.
  • NLP proficiency and/or experience utilizing LLMs/Foundation Models is advantageous.

Mindset

  • Demonstrated growth mindset and intellectual curiosity, with a passion for creating value for the Fund and continuously improving one’s technical capabilities (e.g., researching various AI techniques).
  • Strong critical thinking, analytical and problem-solving skills.
  • Excellent written and verbal communication skills, with an interest in developing people management and stakeholder influencing skills.
  • Ability to work & thrive in an entrepreneurial environment and be a self-starter.
  • Commitment to exemplifying CPP Investments' Guiding Principles of Integrity, Partnership, and High Performance.

Additional Information

Visit our LinkedIn Career Page or Follow us on LinkedIn.

At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.

We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.

Our Commitment To Inclusion And Diversity

In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.

Disclaimer

CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3982254023,https://ca.linkedin.com/jobs/view/python-java-developer-at-tata-consultancy-services-3982254023?position=32&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=quM22n%2B9tfyU8a%2B1xiSqAw%3D%3D&trk=public_jobs_jserp-result_search-card,Python/Java Developer,Tata Consultancy Services,"Toronto, Ontario, Canada","About TCS: + +Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. + + + + +Skills and Responsibilities: + +•Equity Linked Technology Overview: Equity Linked Technology supports the Global Equity Linked Products business within Bank of America Merrill Lynch Global Markets and Investment Banking Group. The team provides innovative solutions to speed equity derivatives trading, facilities sales, assesses risk and P&L, ensures efficient execution, and promotes e-commerce. + +•We aim to maintain a global perspective while recognizing and responding to the specific regional requirements that make each market unique. + + + + +•Responsibilities: + +The lifecycle management group is responsible for the design and development of global equity derivatives workflow platform. + +•The platform facilitates all aspects of sales and trading, from negotiation through order management and execution, to post-trade lifecycle management. + +•The environment in which the team operates is constantly changing, and therefore the technology delivered to meet the business requirements needs to be adaptable and strategic in nature. + +•Parameter management is a high-profile strategic application suite (UI and server-side) that is used by the traders globally to manipulate all the type of equity parameters, using by the Front Office to price their financial products (volatility, dividends, borrow costs, correlations, volatility of volatility, yield curves, credit curves). + +•You offer: Software development experience beyond academic program. + +•Strong knowledge of at least one of the languages: Python\C#\Scala\Java. + +•Strong knowledge of design patterns and programming best practices. + +•Functional programming experience is an advantage. + +•Experience with UI development is an advantage. + +•Experience with Big data stack is an advantage. + +•Financial background and derivatives knowledge is an advantage. + +•Python knowledge is an advantage. + +•Passion about technology, desire to learn. + +Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource + +Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile. + +Show more ","
+ + + + + +
+
+

About TCS:

Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.


Skills and Responsibilities:

•Equity Linked Technology Overview: Equity Linked Technology supports the Global Equity Linked Products business within Bank of America Merrill Lynch Global Markets and Investment Banking Group. The team provides innovative solutions to speed equity derivatives trading, facilities sales, assesses risk and P&L, ensures efficient execution, and promotes e-commerce.

•We aim to maintain a global perspective while recognizing and responding to the specific regional requirements that make each market unique.


•Responsibilities:

The lifecycle management group is responsible for the design and development of global equity derivatives workflow platform.

•The platform facilitates all aspects of sales and trading, from negotiation through order management and execution, to post-trade lifecycle management.

•The environment in which the team operates is constantly changing, and therefore the technology delivered to meet the business requirements needs to be adaptable and strategic in nature.

•Parameter management is a high-profile strategic application suite (UI and server-side) that is used by the traders globally to manipulate all the type of equity parameters, using by the Front Office to price their financial products (volatility, dividends, borrow costs, correlations, volatility of volatility, yield curves, credit curves).

•You offer: Software development experience beyond academic program.

•Strong knowledge of at least one of the languages: Python\C#\Scala\Java.

•Strong knowledge of design patterns and programming best practices.

•Functional programming experience is an advantage.

•Experience with UI development is an advantage.

•Experience with Big data stack is an advantage.

•Financial background and derivatives knowledge is an advantage.

•Python knowledge is an advantage.

•Passion about technology, desire to learn.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource

Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3982969020,https://ca.linkedin.com/jobs/view/hyperscience-developer-at-themesoft-inc-3982969020?position=33&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=gRhpmaDmfaC0FSnC1M17gQ%3D%3D&trk=public_jobs_jserp-result_search-card,Hyperscience Developer,Themesoft Inc.,"Toronto, Ontario, Canada","Themesoft is seeking a "" Hyperscience Developer” for one of our clients in “Toronto, ON, Canada (Onsite)” A global leader in business and technology services. + + + + +JOB INFORMATION + + + + +Job Title :- Hyperscience Developer + +Job Location :- Toronto, ON, Canada (Onsite) + +Type: Contract + + + + +JD/Skills for the Hyperscience developers + +Knowledge, experience and certification working with Hyperscience OCR tool +Understands deployment practices (Dev, Test, UAT, Prod) for classified and extracted documents across environments +Understand the difference between structured, semi-structured, and unstructured documents, able to architect and design practices for document classification and data extraction across various document types +Has working knowledge in technology, understanding technical concepts such as API’s, data payloads, etc +Knowledge in agile delivery, scrum/kanban, is able to read/write user stories, follow agile ceremonies +Effective communicator, is able to work with business SME’s to understand relevant and required fields to extract, collaborates with developers to resolve defects during sprints + +Show more ","
+ + + + + +
+
+

Themesoft is seeking a "" Hyperscience Developer” for one of our clients in “Toronto, ON, Canada (Onsite)” A global leader in business and technology services.


JOB INFORMATION


Job Title :- Hyperscience Developer

Job Location :- Toronto, ON, Canada (Onsite)

Type: Contract


JD/Skills for the Hyperscience developers

  • Knowledge, experience and certification working with Hyperscience OCR tool
  • Understands deployment practices (Dev, Test, UAT, Prod) for classified and extracted documents across environments
  • Understand the difference between structured, semi-structured, and unstructured documents, able to architect and design practices for document classification and data extraction across various document types
  • Has working knowledge in technology, understanding technical concepts such as API’s, data payloads, etc
  • Knowledge in agile delivery, scrum/kanban, is able to read/write user stories, follow agile ceremonies
  • Effective communicator, is able to work with business SME’s to understand relevant and required fields to extract, collaborates with developers to resolve defects during sprints

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3982246177,https://ca.linkedin.com/jobs/view/data-scientist-at-publicis-3982246177?position=39&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=sNcnmH3g1dr6%2Fa%2BVGYkl9w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Publicis,"Toronto, Ontario, Canada","Publicis is an omni-channel communications agency with over 600 employees across our Canadian operations. The office is the largest in our industry in Canada and boasts talent across various disciplines of marketing and advertising expertise. Publicis carries a balanced split of Canadian, U.S. and Global clients for which we are Agency of Record. Publicis supports a range of D&I actions through our Driving Change team as well as giving back to the community through a long-standing participation in the Out of the Cold Program. With a strong, active and familial culture, Pub United is the agency’s social club, hosting events as wide reaching as Curling, Trivia Nights and more. + + + +Job Description + + + +Publicis Canada is seeking a talented Data Scientist with 1-2 years of experience to join our dynamic team. In this role, you will work with large datasets to extract valuable insights that drive business decisions. Your analytical skills and technical expertise will be crucial in solving complex problems and contributing to data-driven strategies across various departments. + +As a Data Scientist you will: + +Collect, process, and analyze large datasets using advanced analytics techniques +Develop and implement statistical models and machine learning algorithms to address business challenges +Create and maintain dashboards and reports to communicate findings to stakeholders +Collaborate with cross-functional teams to identify opportunities for data-driven improvements +Optimize data collection procedures and ensure data quality and integrity +Stay up-to-date with the latest trends and technologies in data science and analytics + + +Qualifications + + +Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field +1-2 years of professional experience in data science or a related role +Strong proficiency in SQL and experience working with big data platforms (e.g., Big Query, BigQuery ML) +Expertise in data analysis and statistical modeling using Python or R +Familiarity with machine learning techniques and their real-world applications +Experience with data visualization tools (e.g., Tableau, Looker Studio) +Exposure to digital marketing analytics +Excellent communication skills with the ability to present complex findings to non-technical audiences +Strong problem-solving skills and attention to detail + +Preferred Qualifications + +Experience with cloud computing platforms (e.g. GCP, Azure) +Familiarity with version control systems (e.g., Git) +Understanding of Generative AI concepts + +You are an ideal candidate for this role if you: + +Think strategically about leveraging data to drive business insights and decisions. +Are intrinsically-driven and celebrate the successful deployment of impactful data models. +Possess strong analytical skills and have a knack for deriving actionable insights from complex datasets. +Set high standards for data accuracy, model performance, and research quality. +Do what it takes to meet project deadlines and deliver robust data solutions. +Thrive in a fast-paced, dynamic environment and enjoy working on challenging and innovative projects. +Welcome and actively seek constructive feedback to enhance your models and methodologies. +Are proficient in both traditional and agile methodologies/processes and can adapt to various project workflows. +Maintain effective communication with multidisciplinary teams, including engineers, analysts, and stakeholders. +Are a self-learner and believe in continuous learning and staying updated with the latest advancements in data science, machine learning, and artificial intelligence. + + +Additional Information + + + +What we Offer: + +Opportunity to build something new and different +Platform to learn through action +Competitive salary vs. industry benchmarks for experience level +Medical/dental benefits +Phone subsidies +A fun and diverse team + +Publicis Canada is committed to building a diverse workforce representative of our community. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply. If you require a specific accommodation please contact Human Resources at 416-925-7733 or by email + +Show more ","
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+

Publicis is an omni-channel communications agency with over 600 employees across our Canadian operations. The office is the largest in our industry in Canada and boasts talent across various disciplines of marketing and advertising expertise. Publicis carries a balanced split of Canadian, U.S. and Global clients for which we are Agency of Record. Publicis supports a range of D&I actions through our Driving Change team as well as giving back to the community through a long-standing participation in the Out of the Cold Program. With a strong, active and familial culture, Pub United is the agency’s social club, hosting events as wide reaching as Curling, Trivia Nights and more.

Job Description

Publicis Canada is seeking a talented Data Scientist with 1-2 years of experience to join our dynamic team. In this role, you will work with large datasets to extract valuable insights that drive business decisions. Your analytical skills and technical expertise will be crucial in solving complex problems and contributing to data-driven strategies across various departments.

As a Data Scientist you will:

  • Collect, process, and analyze large datasets using advanced analytics techniques
  • Develop and implement statistical models and machine learning algorithms to address business challenges
  • Create and maintain dashboards and reports to communicate findings to stakeholders
  • Collaborate with cross-functional teams to identify opportunities for data-driven improvements
  • Optimize data collection procedures and ensure data quality and integrity
  • Stay up-to-date with the latest trends and technologies in data science and analytics

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
  • 1-2 years of professional experience in data science or a related role
  • Strong proficiency in SQL and experience working with big data platforms (e.g., Big Query, BigQuery ML)
  • Expertise in data analysis and statistical modeling using Python or R
  • Familiarity with machine learning techniques and their real-world applications
  • Experience with data visualization tools (e.g., Tableau, Looker Studio)
  • Exposure to digital marketing analytics
  • Excellent communication skills with the ability to present complex findings to non-technical audiences
  • Strong problem-solving skills and attention to detail

Preferred Qualifications

  • Experience with cloud computing platforms (e.g. GCP, Azure)
  • Familiarity with version control systems (e.g., Git)
  • Understanding of Generative AI concepts

You are an ideal candidate for this role if you:

  • Think strategically about leveraging data to drive business insights and decisions.
  • Are intrinsically-driven and celebrate the successful deployment of impactful data models.
  • Possess strong analytical skills and have a knack for deriving actionable insights from complex datasets.
  • Set high standards for data accuracy, model performance, and research quality.
  • Do what it takes to meet project deadlines and deliver robust data solutions.
  • Thrive in a fast-paced, dynamic environment and enjoy working on challenging and innovative projects.
  • Welcome and actively seek constructive feedback to enhance your models and methodologies.
  • Are proficient in both traditional and agile methodologies/processes and can adapt to various project workflows.
  • Maintain effective communication with multidisciplinary teams, including engineers, analysts, and stakeholders.
  • Are a self-learner and believe in continuous learning and staying updated with the latest advancements in data science, machine learning, and artificial intelligence.

Additional Information

What we Offer:

  • Opportunity to build something new and different
  • Platform to learn through action
  • Competitive salary vs. industry benchmarks for experience level
  • Medical/dental benefits
  • Phone subsidies
  • A fun and diverse team

Publicis Canada is committed to building a diverse workforce representative of our community. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply. If you require a specific accommodation please contact Human Resources at 416-925-7733 or by email

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",2024-07-25,[] +3987284645,https://ca.linkedin.com/jobs/view/data-scientist-at-aviva-canada-3987284645?position=41&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=MNkRecTVPvkLMkUGpQIwSA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Aviva Canada,"Toronto, Ontario, Canada","Join an exciting team of data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is undergoing a transformation and you get to be in the driver’s seat of this data-driven, technology revolution. + +You will work on impactful projects focusing on detecting fraudulent activities and machine learning-based fraud engine to find new and innovative ways to impact our customers. + +As a data scientist, you will be part of the Fraud Data Science team with exposure to different business partners and direct influence on future products and innovative solutions. You will take part in the end-to-end SDLC process from ideation to production support to model monitoring. You will be developing and deploying data pipeline, machine-learning and statistical models for practical applications that impacts millions of customers. The team has already developed algorithms used in production systems and you will be part of the team that expands the scope of these algorithms. This is your chance to join the InsureTech revolution! + +What You'll Do + + +Develop, test, and deploy code +Maintain an existing code database +Transformation of complex data sets into meaningful conclusions & recommendations +Develop innovative solutions for pattern recognition using machine learning and statistical approaches +Communicate actionable recommendations based on insights/model results +Driving co-ordination/delivery accountability of project and BAU delivery based on timelines & direction +Driving conformance/Alignment to IT/Enterprise Architecture standards (where applicable) +Design and deploy the models to real-time APIs + + +What You'll Bring + +As a data-scientist, you will need the following skills and experience to succeed in the role: + + +An educational background in computer-science or engineering, math, statistics, physics or related field. A minimum of MSc is required and Phd preferred. +2+ years of experience in end-to-end model development life cycle and working with large datasets. This can include experience from any industry or academia (post-doc experience). +2+ programming experience in Python with good grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc. +Proficiency with SQL and Git (2+ years) +Experience with PostgreSQL, Teradata, Hadoop and AWS is an asset. +2+ years of experience productionalizing models, model monitoring and MLOps +1+ years of expertise in building and configuring production-ready machine learning systems +Conceptual understanding in a data-driven software engineering environment and how to leverage data to make business decisions. +A track record in building and maintaining high quality, robust and maintainable code. +Familiarity with CI/CD is a bonus +Understanding of Data Warehouse concepts, ETL strategies and best practices. +An appetite for problem solving with a creative and resourceful approach to finding the right solution for the job. +Prior fraud and insurance experience is a bonus +Experience in consuming and building APIs is a bonus +A high level of comfort using Git +Strong communication and collaboration skills + + +What Sets You Apart + + +A growth mindset with versatile skills and able to work through problems from first-principles. +A portfolio of projects that demonstrate your ability to draw inferences from data. This includes participation within the broader data science community including Kaggle competitions or any personal projects with open data. +A can-do teammate who is willing to roll-up the sleeves and do whatever is needed to move projects forward. That means at times you will wear different hats and be a project manager, developer, modeler and chief communicator of solutions. +Amazing people skills and able to translate and communicate complex algorithms to non-technical individuals. Someone who understands that it is not enough to just have a phenomenal algorithm but meaningful to build an agreement for the solution from different partners. +The best problems in the industry are yet to be articulated. We need someone who is creative, self-motivated and can lead projects independently. + + +Additional Information + +Aviva Canada is committed to providing accommodations for people with disabilities during all phases of the hiring process including the application process. If you require an accommodation because of a disability, we will work with you to meet your needs. Applicants need to make their needs known in advance. If you are selected for an interview and require an accommodation, you are encouraged to advise the Talent Acquisition Partner who will consult with you to determine an appropriate accommodation. +Show more ","
+ + + + + +
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+ Join an exciting team of data scientists and engineers at the forefront of using data to drive decisions at every level of our organization. The insurance industry is undergoing a transformation and you get to be in the driver’s seat of this data-driven, technology revolution.

You will work on impactful projects focusing on detecting fraudulent activities and machine learning-based fraud engine to find new and innovative ways to impact our customers.

As a data scientist, you will be part of the Fraud Data Science team with exposure to different business partners and direct influence on future products and innovative solutions. You will take part in the end-to-end SDLC process from ideation to production support to model monitoring. You will be developing and deploying data pipeline, machine-learning and statistical models for practical applications that impacts millions of customers. The team has already developed algorithms used in production systems and you will be part of the team that expands the scope of these algorithms. This is your chance to join the InsureTech revolution!

What You'll Do

  • Develop, test, and deploy code
  • Maintain an existing code database
  • Transformation of complex data sets into meaningful conclusions & recommendations
  • Develop innovative solutions for pattern recognition using machine learning and statistical approaches
  • Communicate actionable recommendations based on insights/model results
  • Driving co-ordination/delivery accountability of project and BAU delivery based on timelines & direction
  • Driving conformance/Alignment to IT/Enterprise Architecture standards (where applicable)
  • Design and deploy the models to real-time APIs

What You'll Bring

As a data-scientist, you will need the following skills and experience to succeed in the role:

  • An educational background in computer-science or engineering, math, statistics, physics or related field. A minimum of MSc is required and Phd preferred.
  • 2+ years of experience in end-to-end model development life cycle and working with large datasets. This can include experience from any industry or academia (post-doc experience).
  • 2+ programming experience in Python with good grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.
  • Proficiency with SQL and Git (2+ years)
  • Experience with PostgreSQL, Teradata, Hadoop and AWS is an asset.
  • 2+ years of experience productionalizing models, model monitoring and MLOps
  • 1+ years of expertise in building and configuring production-ready machine learning systems
  • Conceptual understanding in a data-driven software engineering environment and how to leverage data to make business decisions.
  • A track record in building and maintaining high quality, robust and maintainable code.
  • Familiarity with CI/CD is a bonus
  • Understanding of Data Warehouse concepts, ETL strategies and best practices.
  • An appetite for problem solving with a creative and resourceful approach to finding the right solution for the job.
  • Prior fraud and insurance experience is a bonus
  • Experience in consuming and building APIs is a bonus
  • A high level of comfort using Git
  • Strong communication and collaboration skills

What Sets You Apart

  • A growth mindset with versatile skills and able to work through problems from first-principles.
  • A portfolio of projects that demonstrate your ability to draw inferences from data. This includes participation within the broader data science community including Kaggle competitions or any personal projects with open data.
  • A can-do teammate who is willing to roll-up the sleeves and do whatever is needed to move projects forward. That means at times you will wear different hats and be a project manager, developer, modeler and chief communicator of solutions.
  • Amazing people skills and able to translate and communicate complex algorithms to non-technical individuals. Someone who understands that it is not enough to just have a phenomenal algorithm but meaningful to build an agreement for the solution from different partners.
  • The best problems in the industry are yet to be articulated. We need someone who is creative, self-motivated and can lead projects independently.

Additional Information

Aviva Canada is committed to providing accommodations for people with disabilities during all phases of the hiring process including the application process. If you require an accommodation because of a disability, we will work with you to meet your needs. Applicants need to make their needs known in advance. If you are selected for an interview and require an accommodation, you are encouraged to advise the Talent Acquisition Partner who will consult with you to determine an appropriate accommodation. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3980530909,https://ca.linkedin.com/jobs/view/data-scientist-at-clarivate-3980530909?position=43&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=1by9pvEdBz3Xzqljypj8aQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Clarivate,"Toronto, Ontario, Canada","Data Science & Search is a central technology team at Clarivate that develops best in class algorithmic services and search platforms for our products to enable differentiated capabilities. We take pride in innovating on behalf of our customers and delivering value to the business. Our scientists and engineers use Machine Learning, NLP, and Information Retrieval to solve problems along the entire Lifecycle of Innovation. From algorithms to classify content, to automating content extraction workflows, extracting and resolving entities, building recommender and decision support systems, predicting risk and outcomes, and enabling unique ways of finding content, these are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world. + +About You – Experience, Education, Skills, And Accomplishments + + +Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. +Minimum 2-5 years industry experience to include advanced programming skills (Python, Java, Scala, R or C++) +Experience with US based and global team - presentation skills: connecting people, gathering data & information across business unit boundaries and telling & selling the story + + +It would be great if you have. . . . + + +Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment; experience with large language model is plus. +Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation +Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies + + +What will you be doing in this role? + + +Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on Academia & Government(A&G) data and websites +Implements these methods and devises appropriate test plans to validate and compare the different approaches +Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data +Explores existing data for insights and recommends additional sources of data for improvements + + +About The Team + + +Our scientists and engineers use Machine Learning, Natural Language Processing and Information Retrieval to solve problems along the entire Lifecycle of Innovation, with a strong focus on Academia & Government data. +Algorithms to classify content, automating content extraction workflows, extracting and resolving entities, building recommender and decision support systems, predicting risk and outcomes, enabling unique ways of finding content: these are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world. +A team culture is all about openness & collaboration with a focus on excellence and value adding innovation. We build models to meet content needs and have a tradition of also being a source of innovation ourselves, based on deep domain knowledge, so being creative and entrepreneurial is very much encouraged. + + +At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. +Show more ","
+ + + + + +
+
+ Data Science & Search is a central technology team at Clarivate that develops best in class algorithmic services and search platforms for our products to enable differentiated capabilities. We take pride in innovating on behalf of our customers and delivering value to the business. Our scientists and engineers use Machine Learning, NLP, and Information Retrieval to solve problems along the entire Lifecycle of Innovation. From algorithms to classify content, to automating content extraction workflows, extracting and resolving entities, building recommender and decision support systems, predicting risk and outcomes, and enabling unique ways of finding content, these are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world.

About You – Experience, Education, Skills, And Accomplishments

  • Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience.
  • Minimum 2-5 years industry experience to include advanced programming skills (Python, Java, Scala, R or C++)
  • Experience with US based and global team - presentation skills: connecting people, gathering data & information across business unit boundaries and telling & selling the story

It would be great if you have. . . .

  • Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment; experience with large language model is plus.
  • Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
  • Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies

What will you be doing in this role?

  • Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on Academia & Government(A&G) data and websites
  • Implements these methods and devises appropriate test plans to validate and compare the different approaches
  • Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data
  • Explores existing data for insights and recommends additional sources of data for improvements

About The Team

  • Our scientists and engineers use Machine Learning, Natural Language Processing and Information Retrieval to solve problems along the entire Lifecycle of Innovation, with a strong focus on Academia & Government data.
  • Algorithms to classify content, automating content extraction workflows, extracting and resolving entities, building recommender and decision support systems, predicting risk and outcomes, enabling unique ways of finding content: these are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world.
  • A team culture is all about openness & collaboration with a focus on excellence and value adding innovation. We build models to meet content needs and have a tradition of also being a source of innovation ourselves, based on deep domain knowledge, so being creative and entrepreneurial is very much encouraged.

At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-20,[] +3977314145,https://ca.linkedin.com/jobs/view/application-engineer-at-epson-canada-3977314145?position=45&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=2qLFlKEzBQKuww4VGmUf4A%3D%3D&trk=public_jobs_jserp-result_search-card,Application Engineer,Epson Canada,"Markham, Ontario, Canada","At EPSON we have a passion to innovate. Our engineers develop and advance EPSON's leading-edge technologies throughout product lines comprised of information-related equipment such as printers, scanners, projectors, robots and augmented reality devices. Epson products are well known around the world for their superior quality, functionality, compactness and energy efficiency. + + + + +Our R&D team at EPSON Canada researches and develops cutting-edge computer vision technologies and converts conceptual research outcomes into tangible customer applications. Technologies developed at Epson Canada have a global reach. + + + + +We are seeking an Application Engineer to develop high quality robotics and machine learning related proof of concepts and minimal viable product solutions. The successful candidate will be able to take highly technical applications/systems and create user-friendly solutions modules for our customer base. + + + + +Responsibilities + +Understand the technical and business requirements from internal and external stakeholders. +Develop high quality robotics and machine learning related PoC and MVP solutions and applications. +Contribute source code development for various of solutions modules, such as GUI, sensor control, robot control and communication. +Prepare test plans and test own and other’s source code. Fix bugs without breaking original code and leading similar issues. +Participate in system level software design. +Formulate, create and maintain requirements specifications. +Perform analysis of requirements and propose solutions or workarounds. +Proactively provide information on project risks and propose mitigation actions. + + + + +Must haves: + +Minimum Bachelor’s degree in Engineering, Computer Science, or a related technical field. +2+ years of professional software development experience using C/C++, C#.NET and/or Python (preferably full stack) +1+ years of experience testing, maintaining and/or launching software products +Able to work within constraints, and execute with attention to details + + + + +Good to have: + +Familiar with computer vision algorithms and libraries such as OpenCV +Familiar with cross-platform (Windows, Linux) and server/client applications development +Familiar with vision guided robot applications +Familiar with PLC programming +Familiar with Robot Operating System (ROS) + + + + +Benefits: + +Competitive salary and benefits package. +Opportunity to work on cutting-edge technology projects. +Dynamic and collaborative work environment. +Career growth and development opportunities. + + + + +We thank all candidates who apply, however, only those selected for an interview will be contacted. + + + + +We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. + + + + +Epson Canada Limited is committed to providing accommodations for people with disabilities in our recruitment process. If you require an accommodation, please make your accommodation needs known in advance and we will work with you to meet your needs. + +Show more ","
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+

At EPSON we have a passion to innovate. Our engineers develop and advance EPSON's leading-edge technologies throughout product lines comprised of information-related equipment such as printers, scanners, projectors, robots and augmented reality devices. Epson products are well known around the world for their superior quality, functionality, compactness and energy efficiency.


Our R&D team at EPSON Canada researches and develops cutting-edge computer vision technologies and converts conceptual research outcomes into tangible customer applications. Technologies developed at Epson Canada have a global reach.


We are seeking an Application Engineer to develop high quality robotics and machine learning related proof of concepts and minimal viable product solutions. The successful candidate will be able to take highly technical applications/systems and create user-friendly solutions modules for our customer base.


Responsibilities

  • Understand the technical and business requirements from internal and external stakeholders.
  • Develop high quality robotics and machine learning related PoC and MVP solutions and applications.
  • Contribute source code development for various of solutions modules, such as GUI, sensor control, robot control and communication.
  • Prepare test plans and test own and other’s source code. Fix bugs without breaking original code and leading similar issues.
  • Participate in system level software design.
  • Formulate, create and maintain requirements specifications.
  • Perform analysis of requirements and propose solutions or workarounds.
  • Proactively provide information on project risks and propose mitigation actions.


Must haves:

  • Minimum Bachelor’s degree in Engineering, Computer Science, or a related technical field.
  • 2+ years of professional software development experience using C/C++, C#.NET and/or Python (preferably full stack)
  • 1+ years of experience testing, maintaining and/or launching software products
  • Able to work within constraints, and execute with attention to details


Good to have:

  • Familiar with computer vision algorithms and libraries such as OpenCV
  • Familiar with cross-platform (Windows, Linux) and server/client applications development
  • Familiar with vision guided robot applications
  • Familiar with PLC programming
  • Familiar with Robot Operating System (ROS)


Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge technology projects.
  • Dynamic and collaborative work environment.
  • Career growth and development opportunities.


We thank all candidates who apply, however, only those selected for an interview will be contacted.


We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.


Epson Canada Limited is committed to providing accommodations for people with disabilities in our recruitment process. If you require an accommodation, please make your accommodation needs known in advance and we will work with you to meet your needs.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3921702058,https://ca.linkedin.com/jobs/view/data-scientist-ii-at-pinterest-3921702058?position=49&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=y%2FN%2Bc6wt3bU5pK%2FX%2BQReRg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist II,Pinterest,"Toronto, Ontario, Canada","About Pinterest + +Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. + +Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. + +Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. + +As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. + +What You’ll Do + + +Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love +Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners +Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development +Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest + + + +What We’re Looking For + + +4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data +Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields +Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn +A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output +Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) +Excellent communication skills and ability to explain learnings to both technical and non-technical partners +A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions + + + +Relocation Statement: + + +This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. + + + +Our Commitment To Diversity + +Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support. + + +Show more ","
+ + + + + +
+
+ About Pinterest

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What You’ll Do

  • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
  • Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
  • Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
  • Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest


What We’re Looking For

  • 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
  • Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
  • Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
  • A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
  • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
  • Excellent communication skills and ability to explain learnings to both technical and non-technical partners
  • A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


Our Commitment To Diversity

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3969543528,https://ca.linkedin.com/jobs/view/service-now-developer-at-soroc-technology-3969543528?position=50&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=xguWqJDVeg0NwudBKE2tvw%3D%3D&trk=public_jobs_jserp-result_search-card,Service Now Developer,Soroc Technology,"Toronto, Ontario, Canada","CAREER OPPORTUNITY + +Job Title: ServiceNow Developer + +Status: 6 month contract(Renewable) + +Location: Toronto Financial District(Hybrid) + +Position Reporting To: ServiceNow Team Lead or Equivalent + + + + +Summary: Our client is looking for a ServiceNow Developer for a 6 month contract position. + + + + +*Key Responsibilities: + +Design, develop, and implement ServiceNow solutions and applications +Customize ServiceNow applications and facilitate the rollout of new applications and modules +Develop workflows, business rules, client scripts, UI policies, and UI actions +Integrate ServiceNow with other systems and third-party tools +Maintain and enhance existing ServiceNow modules and applications +Troubleshoot and resolve technical issues related to ServiceNow +Collaborate with stakeholders to gather and analyze requirements +Ensure ServiceNow solutions are aligned with business goals and objectives +Create and maintain documentation for ServiceNow configurations, customizations, and integrations +Stay updated with the latest ServiceNow features and best practices + + + + +* Day-to-Day Duties and Responsibilities: + +Application Development: Design and develop custom ServiceNow applications and solutions using ServiceNow Studio and scripting languages such as JavaScript and Glide. +Customization and Configuration: Customize ServiceNow applications, including Incident, Problem, Change, Service Catalog, Knowledge, and CMDB. Configure workflows, business rules, client scripts, UI policies, UI actions, and ACLs. +Integration: Integrate ServiceNow with other enterprise systems and third-party tools using REST/SOAP APIs, MID Server, and IntegrationHub. +Maintenance and Enhancement: Maintain and enhance existing ServiceNow modules and applications to improve functionality and performance. Implement updates and patches as needed. +Troubleshooting: Troubleshoot and resolve technical issues related to ServiceNow applications and integrations. Provide support to end-users and stakeholders. +Requirements Gathering: Collaborate with business stakeholders, process owners, and IT teams to gather and analyze requirements. Translate business needs into technical specifications and solutions. +Documentation: Create and maintain comprehensive documentation for ServiceNow configurations, customizations, and integrations. Ensure documentation is up-to-date and accessible to relevant stakeholders. +Quality Assurance: Conduct testing and validation of ServiceNow solutions to ensure they meet business requirements and quality standards. Perform unit testing, regression testing, and user acceptance testing (UAT). +Continuous Learning: Stay updated with the latest ServiceNow features, releases, and best practices. Participate in training and certification programs to enhance skills and knowledge. + + + + +Education: + +Must have a Post Secondary diploma or Bachelor's degree in Computer Science, Information Technology, or related field. + + + + +Experience Level: Minimum 3 plus years of relevant experience in ServiceNow Development and Administration. + + + + +* Required Skills and Technologies: + +ServiceNow Platform: Proficiency in ServiceNow development, administration, and customization +Scripting Languages: Strong knowledge of JavaScript and Glide scripting +APIs and Integrations: Experience with REST/SOAP APIs, MID Server, and IntegrationHub for integrating ServiceNow with other systems +Web Technologies: Understanding of web technologies such as HTML, CSS, and AngularJS +Database Management: Familiarity with relational databases and SQL +ITIL Framework: Knowledge of ITIL principles and practices +Project Management Tools: Experience with project management and collaboration tools like Jira, Confluence, or Microsoft Teams +Soft Skills: Strong problem-solving skills, excellent communication and collaboration abilities, attention to detail, and ability to work independently and in a team environment + + + + +Certifications: + +ServiceNow Certified Application Developer +ServiceNow Certified System Administrator +ITIL Foundation Certification +ServiceNow Certified Implementation Specialist + + + + +Salary Range: + +Competitive and commensurate with experience + +Show more ","
+ + + + + +
+
+

CAREER OPPORTUNITY

Job Title: ServiceNow Developer

Status: 6 month contract(Renewable)

Location: Toronto Financial District(Hybrid)

Position Reporting To: ServiceNow Team Lead or Equivalent


Summary: Our client is looking for a ServiceNow Developer for a 6 month contract position.


*Key Responsibilities:

  • Design, develop, and implement ServiceNow solutions and applications
  • Customize ServiceNow applications and facilitate the rollout of new applications and modules
  • Develop workflows, business rules, client scripts, UI policies, and UI actions
  • Integrate ServiceNow with other systems and third-party tools
  • Maintain and enhance existing ServiceNow modules and applications
  • Troubleshoot and resolve technical issues related to ServiceNow
  • Collaborate with stakeholders to gather and analyze requirements
  • Ensure ServiceNow solutions are aligned with business goals and objectives
  • Create and maintain documentation for ServiceNow configurations, customizations, and integrations
  • Stay updated with the latest ServiceNow features and best practices


* Day-to-Day Duties and Responsibilities:

  • Application Development: Design and develop custom ServiceNow applications and solutions using ServiceNow Studio and scripting languages such as JavaScript and Glide.
  • Customization and Configuration: Customize ServiceNow applications, including Incident, Problem, Change, Service Catalog, Knowledge, and CMDB. Configure workflows, business rules, client scripts, UI policies, UI actions, and ACLs.
  • Integration: Integrate ServiceNow with other enterprise systems and third-party tools using REST/SOAP APIs, MID Server, and IntegrationHub.
  • Maintenance and Enhancement: Maintain and enhance existing ServiceNow modules and applications to improve functionality and performance. Implement updates and patches as needed.
  • Troubleshooting: Troubleshoot and resolve technical issues related to ServiceNow applications and integrations. Provide support to end-users and stakeholders.
  • Requirements Gathering: Collaborate with business stakeholders, process owners, and IT teams to gather and analyze requirements. Translate business needs into technical specifications and solutions.
  • Documentation: Create and maintain comprehensive documentation for ServiceNow configurations, customizations, and integrations. Ensure documentation is up-to-date and accessible to relevant stakeholders.
  • Quality Assurance: Conduct testing and validation of ServiceNow solutions to ensure they meet business requirements and quality standards. Perform unit testing, regression testing, and user acceptance testing (UAT).
  • Continuous Learning: Stay updated with the latest ServiceNow features, releases, and best practices. Participate in training and certification programs to enhance skills and knowledge.


Education:

  • Must have a Post Secondary diploma or Bachelor's degree in Computer Science, Information Technology, or related field.


Experience Level: Minimum 3 plus years of relevant experience in ServiceNow Development and Administration.


* Required Skills and Technologies:

  • ServiceNow Platform: Proficiency in ServiceNow development, administration, and customization
  • Scripting Languages: Strong knowledge of JavaScript and Glide scripting
  • APIs and Integrations: Experience with REST/SOAP APIs, MID Server, and IntegrationHub for integrating ServiceNow with other systems
  • Web Technologies: Understanding of web technologies such as HTML, CSS, and AngularJS
  • Database Management: Familiarity with relational databases and SQL
  • ITIL Framework: Knowledge of ITIL principles and practices
  • Project Management Tools: Experience with project management and collaboration tools like Jira, Confluence, or Microsoft Teams
  • Soft Skills: Strong problem-solving skills, excellent communication and collaboration abilities, attention to detail, and ability to work independently and in a team environment


Certifications:

  • ServiceNow Certified Application Developer
  • ServiceNow Certified System Administrator
  • ITIL Foundation Certification
  • ServiceNow Certified Implementation Specialist


Salary Range:

  • Competitive and commensurate with experience

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+ +
",2024-07-10,[] +3978511795,https://ca.linkedin.com/jobs/view/senior-data-scientist-ca-at-curinos-3978511795?position=52&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=FXcPBk%2FYloBfdCMp7xVdnQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist- CA,Curinos,"Toronto, Ontario, Canada","Company Description + +Curinos is the leading provider of data, technologies and insights that enable financial institutions to make better, and more profitable, data-driven decisions faster. Born out of the combination of two familiar industry powerhouses, Novantas and Informa’s FBX business, Curinos brings to market a new level of industry expertise across deposits, lending and digital experience solutions and technologies. + +Curinos is operating under a hybrid modality. This position is based in the Toronto area. + +, Job Description + +We’re looking for an experienced, product-minded data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, insightful in your analytical approach, and pragmatic in embedding data science in enterprise products. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices. + +KEY DUTIES + + +Independently apply advanced statistical concepts leveraging both theory and practical experience to deliver repeatable, scalable workflows and products +Shape experimental design and incorporate a working knowledge of advanced experimental analytics techniques to accurately measure the success of Curinos ML based marketing optimization campaigns +Independently select the appropriate approaches from a broad toolkit of ML algorithms and embody high standards of quality and accountability throughout the ML model development lifecycle, with an eye to enabling successful, repeatable, scalable production-level deployment +Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities +Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products +Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our products + + +, Qualifications + + +You have 5+ years' experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications. Experience in scientific marketing contexts is a plus +You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models +You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus +You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting +You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers +You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals +You can quickly pivot and act with agility as dictated by the needs of the business +You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline + + +Additional Information + +Why work at Curinos? + + +Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from +Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask! +Competitive annual leave, floating holidays, volunteering days and a day off for your birthday! +Learning and development tools to assist with your career development +Work with industry leading Subject Matter Experts and specialist products +Regular social events and networking opportunities +Collaborative, supportive culture, including an active DE&I program +Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services + + +Applying: + +We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! + +If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help. + +Inclusivity at Curinos: + +We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinosis proud to be an Equal Opportunity Employer.We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics. +Show more ","
+ + + + + +
+
+ Company Description

Curinos is the leading provider of data, technologies and insights that enable financial institutions to make better, and more profitable, data-driven decisions faster. Born out of the combination of two familiar industry powerhouses, Novantas and Informa’s FBX business, Curinos brings to market a new level of industry expertise across deposits, lending and digital experience solutions and technologies.

Curinos is operating under a hybrid modality. This position is based in the Toronto area.

, Job Description

We’re looking for an experienced, product-minded data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, insightful in your analytical approach, and pragmatic in embedding data science in enterprise products. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices.

KEY DUTIES

  • Independently apply advanced statistical concepts leveraging both theory and practical experience to deliver repeatable, scalable workflows and products
  • Shape experimental design and incorporate a working knowledge of advanced experimental analytics techniques to accurately measure the success of Curinos ML based marketing optimization campaigns
  • Independently select the appropriate approaches from a broad toolkit of ML algorithms and embody high standards of quality and accountability throughout the ML model development lifecycle, with an eye to enabling successful, repeatable, scalable production-level deployment
  • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities
  • Proactively explore available data and opportunities to leverage the latest developments in AI to innovate our suite of FinTech products
  • Apply advanced data management techniques and tools to bring datasets into data science workflows and systems, enabling our products

, Qualifications

  • You have 5+ years' experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications. Experience in scientific marketing contexts is a plus
  • You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models
  • You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, and deep learning techniques. Experience with generative AI and LLMs is a plus
  • You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting
  • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers
  • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals
  • You can quickly pivot and act with agility as dictated by the needs of the business
  • You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline

Additional Information

Why work at Curinos?

  • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
  • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!
  • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
  • Learning and development tools to assist with your career development
  • Work with industry leading Subject Matter Experts and specialist products
  • Regular social events and networking opportunities
  • Collaborative, supportive culture, including an active DE&I program
  • Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services

Applying:

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help.

Inclusivity at Curinos:

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinosis proud to be an Equal Opportunity Employer.We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-17,[] +3914115635,https://ca.linkedin.com/jobs/view/applied-ai-developer-at-klick-3914115635?position=53&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=K4nJCTsIG1ueC3GImvYCkw%3D%3D&trk=public_jobs_jserp-result_search-card,Applied AI Developer,Klick,"Toronto, Ontario, Canada","We are seeking an Applied AI Developer, an expert in generative AI and Large Language Models (LLMs), to join our team. In this role, you would be responsible for building and implementing a wide range of systems that use Generative AI to solve real-world business problems. This is not an R&D role. You will be applying existing generative AI technologies not creating new ones. You will work closely with various internal stakeholders, assessing project feasibility and overseeing the building and implementation of a diverse portfolio of projects. If you excel in translating complex AI requirements into fully-realized, innovative solutions, we’d love to hear from you. + +Key Responsibilities: + + +Building AI Solutions: Lead the development of AI solutions, ensuring alignment with stakeholder requirements and organizational goals. You will oversee the entire development process, from initial conception to full-fledged implementation +Coding & Prompt Engineering: Utilize Python to integrate various AI services and APIs, creating cohesive AI systems. In prompt engineering, you’ll craft and refine user inputs to effectively guide AI responses, ensuring accurate and contextually relevant outcomes +Feasibility Assessment: Collaborate with stakeholders to assess project feasibility and craft workable action plans based on client requirements +Collaboration & Training: Work with tech teams, delegating components as necessary, and communicate generative AI concepts in clear, accessible language +Defensive Design Strategy: Develop AI solutions with safeguards against abuse, misuse, and prompt injection, ensuring robust, secure systems in line with healthcare standards. + + + +Required Skills: + + +Expert knowledge of how to apply generative AI - LLMs such as GPT, LLaMa, and Claude +Proficiency in Python, and APIs such as OpenAI, Azure AI, Amazon Bedrock, and Google Vertex +Ability to balance rapid proof of concept development with full-stack deployment +Proven experience in developing Generative AI solutions + + + +Desirable Qualifications: + + +Excellent communication skills, particularly when explaining complex technical concepts to non-technical stakeholders +Knowledge of healthcare regulations is a significant plus +Front-end development experience is beneficial but not required. + + + +Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. + +We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience. + + +Show more ","
+ + + + + +
+
+ We are seeking an Applied AI Developer, an expert in generative AI and Large Language Models (LLMs), to join our team. In this role, you would be responsible for building and implementing a wide range of systems that use Generative AI to solve real-world business problems. This is not an R&D role. You will be applying existing generative AI technologies not creating new ones. You will work closely with various internal stakeholders, assessing project feasibility and overseeing the building and implementation of a diverse portfolio of projects. If you excel in translating complex AI requirements into fully-realized, innovative solutions, we’d love to hear from you.

Key Responsibilities:

  • Building AI Solutions: Lead the development of AI solutions, ensuring alignment with stakeholder requirements and organizational goals. You will oversee the entire development process, from initial conception to full-fledged implementation
  • Coding & Prompt Engineering: Utilize Python to integrate various AI services and APIs, creating cohesive AI systems. In prompt engineering, you’ll craft and refine user inputs to effectively guide AI responses, ensuring accurate and contextually relevant outcomes
  • Feasibility Assessment: Collaborate with stakeholders to assess project feasibility and craft workable action plans based on client requirements
  • Collaboration & Training: Work with tech teams, delegating components as necessary, and communicate generative AI concepts in clear, accessible language
  • Defensive Design Strategy: Develop AI solutions with safeguards against abuse, misuse, and prompt injection, ensuring robust, secure systems in line with healthcare standards.


Required Skills:

  • Expert knowledge of how to apply generative AI - LLMs such as GPT, LLaMa, and Claude
  • Proficiency in Python, and APIs such as OpenAI, Azure AI, Amazon Bedrock, and Google Vertex
  • Ability to balance rapid proof of concept development with full-stack deployment
  • Proven experience in developing Generative AI solutions


Desirable Qualifications:

  • Excellent communication skills, particularly when explaining complex technical concepts to non-technical stakeholders
  • Knowledge of healthcare regulations is a significant plus
  • Front-end development experience is beneficial but not required.


Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities.

We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3982238258,https://ca.linkedin.com/jobs/view/lead-operational-research-data-scientist-at-chubb-3982238258?position=54&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=IZ2zgmSICcQv4xpQ6%2Bl%2B%2FQ%3D%3D&trk=public_jobs_jserp-result_search-card,Lead Operational Research Data Scientist,Chubb,"Toronto, Ontario, Canada","Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. + + + + + + + + + + +KEY OBJECTIVE: + +Chubb is seeking a highly skilled and experienced Operational Research Data Scientist to join our team. This critical role will be responsible for leading the optimization efforts for a new initiative, leveraging advanced OR techniques and AI technologies to solve core insurance problems dynamically. The ideal candidate will have a proven track record of delivering impactful optimization solutions and be an expert in the application of mathematical models to solve complex business problems. + + + + + + + + + + +MAJOR RESPONSIBILITIES: + +Develop and implement optimization models to improve business performance and operational efficiencies in the insurance industry +Analyze large volumes of data and provide insights to make data-driven decisions for use in insurance risk profiling, claims management and other key problem areas +Collaborate with cross-functional teams including actuaries, underwriters, and IT to design, develop, and integrate optimization solutions +Lead the end-to-end data science lifecycle from problem definition to model implementation +Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs +Mentor and train junior data scientists to develop analytical skills in the team +Stay up-to-date with the latest OR and AI techniques and explore innovative solutions to stay ahead of the competition + + + + + + + + + + +QUALIFICATIONS + +10+ years of experience in the OR field with a strong understanding of the mathematical underpinning of optimization algorithms +Advanced degree (Master’s or Ph.D.) in Industrial Engineering, Operations Research, Applied Mathematics, or related fields +Expertise in mathematical modeling, optimization, and simulation techniques +Experience in deploying OR solutions in the cloud environment +Experience with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solving +Proficiency in programming languages such as Python, R, and SQL +Strong understanding of descriptive statistics and exploratory data analysis techniques +Excellent problem-solving and analytical skills with the ability to work with complex datasets +Strong communication and collaboration skills to work effectively with different stakeholders and cross-functional teams +Experience in leading end-to-end data science lifecycle from problem definition to model implementation +Track record of successfully delivering impactful optimization projects in the insurance/finance/retail industries +Ability to mentor and train junior data scientists to develop analytical skills in the team +Self-driven with a passion for staying up-to-date with the latest OR and AI techniques and exploring innovative solutions to stay ahead of the competition. + + + + + + + + + + +At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs. + +Show more ","
+ + + + + +
+
+

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.




KEY OBJECTIVE:

Chubb is seeking a highly skilled and experienced Operational Research Data Scientist to join our team. This critical role will be responsible for leading the optimization efforts for a new initiative, leveraging advanced OR techniques and AI technologies to solve core insurance problems dynamically. The ideal candidate will have a proven track record of delivering impactful optimization solutions and be an expert in the application of mathematical models to solve complex business problems.




MAJOR RESPONSIBILITIES:

  • Develop and implement optimization models to improve business performance and operational efficiencies in the insurance industry
  • Analyze large volumes of data and provide insights to make data-driven decisions for use in insurance risk profiling, claims management and other key problem areas
  • Collaborate with cross-functional teams including actuaries, underwriters, and IT to design, develop, and integrate optimization solutions
  • Lead the end-to-end data science lifecycle from problem definition to model implementation
  • Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs
  • Mentor and train junior data scientists to develop analytical skills in the team
  • Stay up-to-date with the latest OR and AI techniques and explore innovative solutions to stay ahead of the competition




QUALIFICATIONS

  • 10+ years of experience in the OR field with a strong understanding of the mathematical underpinning of optimization algorithms
  • Advanced degree (Master’s or Ph.D.) in Industrial Engineering, Operations Research, Applied Mathematics, or related fields
  • Expertise in mathematical modeling, optimization, and simulation techniques
  • Experience in deploying OR solutions in the cloud environment
  • Experience with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solving
  • Proficiency in programming languages such as Python, R, and SQL
  • Strong understanding of descriptive statistics and exploratory data analysis techniques
  • Excellent problem-solving and analytical skills with the ability to work with complex datasets
  • Strong communication and collaboration skills to work effectively with different stakeholders and cross-functional teams
  • Experience in leading end-to-end data science lifecycle from problem definition to model implementation
  • Track record of successfully delivering impactful optimization projects in the insurance/finance/retail industries
  • Ability to mentor and train junior data scientists to develop analytical skills in the team
  • Self-driven with a passion for staying up-to-date with the latest OR and AI techniques and exploring innovative solutions to stay ahead of the competition.




At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.

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",2024-07-25,[] +3981365155,https://ca.linkedin.com/jobs/view/senior-data-scientist-hts-fintech-ancillaries-at-hopper-3981365155?position=55&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=4yAAxE13Ps9Dgv7oKIq0tA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - HTS - Fintech Ancillaries,Hopper,"Toronto, Ontario, Canada","About The Job + +As a Sr Data Scientist, you will be focusing on solving data and engineering problems that allow Hopper to offer products that help our customers navigate common travel headaches (like flight delays, cancellations, or price anxiety), and ultimately get where they want to be. + +This role will touch all of Hopper’s fintech products and be focused on delivering Hopper’s products to B2B partners. Your primary focus will be improving upon existing ML pricing models as well as developing and deploying new frameworks for us to better price our products. + +You will own the entire model development, deployment, and performance tracking for several B2B partners. + +What Would Your Day-to-day Look Like + + +Ensure we are priced correctly based on changing demand environments and external conditions. Identify segments where we are mispriced and deploy scalable solutions to correct pricing models +Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience +Initiate, develop, and maintain data pipelines that power our decision making +Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them +Find new opportunities for revenue growth by becoming the expert on our data and customers + + +An Ideal Candidate Has + + +A proven track record of solving complex problems with in depth understanding of data, product and business impact +High attention to detail and ability to create scalable data solutions +Strong creative problem-solving skills and critical thinking competencies +Ability to effectively communicate pricing decisions and performance to executive-level stakeholders +Designed, implemented, and deployed pricing models into production using modern technologies +Fluency in using SQL for data creation, maintenance and analysis +High proficiency in Python +Experience with data visualization to convey ML models behavior and business insights +Worked on a consumer product and has shipped high impact models at scale + + +Perks And Benefits Of Working With Us + + +Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages +Hopper covers 100% of the premiums for group insurance plan through Sun life Financial. Coverage includes: +80% on paramedical coverage +90% - 100% on prescription drugs +80% on minor/preventative dental +50% on major dental work, plus more +100% coverage for eye exams & reimbursement on vision care (glasses, contacts, etc.) +Hopper offers life, short term and long term disability coverage through Sun Life Financial. +HSA through Sun Life Financial that covers eligible medical and dental expenses. +All employees and dependents have access to Dialogue’s telemedicine services, anytime, anywhere. +All employees have access to an RRSP plan through Sun Life Financial with automatic pre-tax withdrawals per pay. +Please ask us about our very generous parental leave, much above industry standards! +Unlimited PTO +Carrot Cash travel stipend +Flexdesk All Access Pass AND Work-from-home stipend +Entrepreneurial culture where pushing limits and taking risks is everyday business +Open communication with management and company leadership +Small, dynamic teams = massive impact + + +#posttoexternal + +More About Hopper + +At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. + +The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. Ranked the third largest online travel agency in North America, the Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. + +While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a global travel agency and travel fintech provider that powers some of the world’s largest brands. + +Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada and many more. + +Here are just a few stats that demonstrate the company’s recent growth: + +Hopper sells billion worth of travel and travel fintech every year. In 2023, over 1.3 billion trips were planned through the Hopper app and our HTS partnerships. + +Our fintech products – including Price Freeze, Flexibility for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. + +Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. + +Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 50% of the business. + +Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines with many more in the pipeline. + +Featured in Apple’s Best of the App Store list of Essential Travel Apps in 2023 and recognized by the likes of Fast Company’s Most Innovative Companies, Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America and 70% of our app customers are Gen-Z and millennials travelers. + +Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. + +Come take off with us! +Show more ","
+ + + + + +
+
+ About The Job

As a Sr Data Scientist, you will be focusing on solving data and engineering problems that allow Hopper to offer products that help our customers navigate common travel headaches (like flight delays, cancellations, or price anxiety), and ultimately get where they want to be.

This role will touch all of Hopper’s fintech products and be focused on delivering Hopper’s products to B2B partners. Your primary focus will be improving upon existing ML pricing models as well as developing and deploying new frameworks for us to better price our products.

You will own the entire model development, deployment, and performance tracking for several B2B partners.

What Would Your Day-to-day Look Like

  • Ensure we are priced correctly based on changing demand environments and external conditions. Identify segments where we are mispriced and deploy scalable solutions to correct pricing models
  • Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience
  • Initiate, develop, and maintain data pipelines that power our decision making
  • Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them
  • Find new opportunities for revenue growth by becoming the expert on our data and customers

An Ideal Candidate Has

  • A proven track record of solving complex problems with in depth understanding of data, product and business impact
  • High attention to detail and ability to create scalable data solutions
  • Strong creative problem-solving skills and critical thinking competencies
  • Ability to effectively communicate pricing decisions and performance to executive-level stakeholders
  • Designed, implemented, and deployed pricing models into production using modern technologies
  • Fluency in using SQL for data creation, maintenance and analysis
  • High proficiency in Python
  • Experience with data visualization to convey ML models behavior and business insights
  • Worked on a consumer product and has shipped high impact models at scale

Perks And Benefits Of Working With Us

  • Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages
  • Hopper covers 100% of the premiums for group insurance plan through Sun life Financial. Coverage includes:
  • 80% on paramedical coverage
  • 90% - 100% on prescription drugs
  • 80% on minor/preventative dental
  • 50% on major dental work, plus more
  • 100% coverage for eye exams & reimbursement on vision care (glasses, contacts, etc.)
  • Hopper offers life, short term and long term disability coverage through Sun Life Financial.
  • HSA through Sun Life Financial that covers eligible medical and dental expenses.
  • All employees and dependents have access to Dialogue’s telemedicine services, anytime, anywhere.
  • All employees have access to an RRSP plan through Sun Life Financial with automatic pre-tax withdrawals per pay.
  • Please ask us about our very generous parental leave, much above industry standards!
  • Unlimited PTO
  • Carrot Cash travel stipend
  • Flexdesk All Access Pass AND Work-from-home stipend
  • Entrepreneurial culture where pushing limits and taking risks is everyday business
  • Open communication with management and company leadership
  • Small, dynamic teams = massive impact

#posttoexternal

More About Hopper

At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips.

The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. Ranked the third largest online travel agency in North America, the Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials.

While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a global travel agency and travel fintech provider that powers some of the world’s largest brands.

Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada and many more.

Here are just a few stats that demonstrate the company’s recent growth:

Hopper sells billion worth of travel and travel fintech every year. In 2023, over 1.3 billion trips were planned through the Hopper app and our HTS partnerships.

Our fintech products – including Price Freeze, Flexibility for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions.

Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel.

Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 50% of the business.

Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines with many more in the pipeline.

Featured in Apple’s Best of the App Store list of Essential Travel Apps in 2023 and recognized by the likes of Fast Company’s Most Innovative Companies, Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America and 70% of our app customers are Gen-Z and millennials travelers.

Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace.

Come take off with us! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3940377630,https://ca.linkedin.com/jobs/view/data-scientist-canada-bcg-x-at-bcg-x-3940377630?position=56&pageNum=0&refId=y%2B9XNu88IFVwhEsV9lD8Jw%3D%3D&trackingId=LJpee%2BkaxaOMsJdXo%2BplfQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Canada - BCG X",BCG X,"Toronto, Ontario, Canada","Locations: Toronto | Montreal + +Who We Are + +***To submit an application in French, please go to your settings at the top of the page and select French as your language preference. This will enable you to view the portal and application questions in French.*** + +***Pour soumettre une candidature en français, veuillez accéder à vos paramètres en haut de la page et sélectionner le français comme langue de préférence. Cela vous permettra de consulter le portail et les questions relatives à la candidature en français.*** + +Boston Consulting Group (BCG) is a global management consulting firm and the world’s leading advisor on business strategy. We partner with clients from the private, public, and not-for-profit sectors in all regions to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises. Our customized approach combines deep insight into the dynamics of companies and markets with close collaboration at all levels of the client organization. This ensures that our clients achieve sustainable competitive advantage, build more capable organizations, and secure lasting results. Founded in 1963, BCG is a private company with offices in more than 90 cities in 50 countries. For more information, please visit bcg.com. + +BCG’s clients are the world’s top business leaders. From computers to retailing, our professional expertise spans over 50 industries. The vast majority of our clients rank among the 500 largest companies in each of our three major regions–Americas (North and South), Europe Middle East and Africa, and Asia Pacific. Additionally, we work with a number of small- to medium-sized companies, both public and private. + +The success of our assignments routinely leads our clients to maintain long-term relationships with us. Over 85 percent of our revenues come from clients who continue to work with us from one year to the next to maintain the momentum for change and to continually improve bottom-line results they have achieved with our help. + +We pride ourselves on our fresh thinking. Our evolving ideas profoundly change the way most businesses think about competition. Many leading business concepts over the past three decades originated with BCG–including, experience curve, time-based competition, Segment-of-One® marketing, deconstruction, and trading up. Our recent Collateral Damage publication series has addressed the implications for managers of the on-going financial crisis. + +We believe that no other consulting organization has concentrated as thoroughly on understanding business competition and helping companies make the changes necessary to succeed in increasingly competitive markets. + +La réputation mondiale du cabinet de conseil en gestion Boston Consulting Group (BCG), comme l'un des meilleurs en gestion, découle de plus de cinquante années d'expérience à aider les cadres supérieurs à découvrir et réaliser tout le potentiel de leur entreprise. Notre mission consiste à appuyer nos clients à réaliser des avantages concurrentiels durables en offrant des solutions personnalisées. Nous croyons fermement qu'il faut travailler avec nos clients, pas à leurs dépens. Nous collaborons avec chaque client pour l'aider à prendre une direction et à faire face aux défis organisationnels et opérationnels. + +Fondé en 1963, BCG compte maintenant plus de 11,000 experts-conseils, et ce, dans plus de 90 bureaux dans le monde entier. Les clients du BCG sont les dirigeants des plus importantes entreprises du monde. Des ordinateurs jusqu'à la vente au détail, notre expertise professionnelle s'étend à plus de 50 industries. La grande majorité de nos clients figurent parmi les 500 plus grandes entreprises dans chacune de nos trois régions principales – Les Amériques (nord et sud), l'Europe (incluant le Moyen-Orient et l'Afrique) et l'Asie-Pacifique. De plus, nous travaillons avec un certain nombre de petites et moyennes entreprises, tant publiques que privées. + +Notre succès, provenant des mandats qui nous sont assignés, nous permet d'établir des relations à long terme avec nos clients. Plus de 85 pourcents de nos revenus proviennent de clients qui continuent à travailler avec nous d'une année à l'autre pour conserver l'élan de changement et pour améliorer continuellement les résultats nets qu'ils ont réalisés grâce à notre aide. + +Nous sommes fiers de notre approche innovatrice. Nos idées évolutives changent profondément la manière dont la plupart des entreprises considèrent la concurrence. Plusieurs des principaux concepts d'affaires, au cours des trois dernières décennies, ont commencé avec BCG, y compris la courbe d'apprentissage, la concurrence calculée sur le temps, le marketing Segment-of-One®, le démantèlement et l'extension ascendante. Nos récentes publications de la série Collateral Damage ont traité de l'implication des dirigeants face à la crise financière en cours. + +Nous croyons qu'aucune autre organisation de conseil en gestion ne s'est concentrée aussi attentivement à la compréhension de la concurrence en affaires et à aider les entreprises à effectuer les changements nécessaires pour réussir sur des marchés de plus en plus compétitifs. + +We Are BCG X + +We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. + +What You'll Do + +Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. + +As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. + +Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. + +We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: + + +Comfortable in a client-facing role with the ambition to lead teams +Likes to distill complex results or processes into simple, clear visualizations +Explain sophisticated data science concepts in an understandable manner +Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) +Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data +Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients +Have strong project management skills + + +Nos équipes BCG X sont responsables de l’ensemble de la chaîne de valeur de l’analyse de bout en bout : encadrer de nouveaux défis commerciaux, concevoir des algorithmes d’innovation, mettre en œuvre et déployer des solutions évolutives, et permettre à nos collègues et clients d’adopter pleinement l’IA. Nos offres de produits s’étendent des versions entièrement personnalisées aux solutions logicielles d’IA de pointe spécifiques à l’industrie. + +En tant que scientifique des données, vous ferez partie de notre équipe en pleine croissance. Vous aurez l’occasion d’appliquer des méthodes et des analyses de science des données à des situations commerciales réelles dans une variété d’industries pour avoir un impact commercial important. Vous aurez l’occasion de collaborer avec des clients de diverses régions et industries du BCG et sur des sujets clés comme le changement climatique, leur permettant de concevoir, de construire et de déployer des solutions nouvelles et d’innovation. + +Les responsabilités supplémentaires comprendront le développement et la prestation d’un leadership éclairé dans les communautés et les articles scientifiques, ainsi que la direction de conférences au nom du BCG X. Les candidats à succès sont des bâtisseurs intellectuels curieux qui ont un parti pris vers l’action, sont ambitieux et ont le sens de la communication. + +Nous sommes à la recherche de personnes talentueuses passionnées par la science des données, les statistiques, la recherche sur les opérations et la transformation d’organisations en entreprises innovantes dirigées par l’IA. Les candidats à succès possèdent les compétences suivantes : + + +Aisance à occuper un rôle de contact avec les clients et ambition de diriger des équipes +Aime distiller des résultats ou des processus complexes en visualisations simples et claires +Capacité d’expliquer les concepts sophistiqués de la science des données de manière compréhensible +Aime construire des choses et est à l’aise de travailler avec des outils de développement modernes et de rédiger des codes en collaboration (points en prime si vous avez une expérience en développement de logiciels ou DevOps) +Vaste expérience dans l’application d’analyses avancées dans diverses situations d’affaires et capacité reconnue de synthétiser des données complexes +Compréhension approfondie des techniques modernes d’apprentissage automatique et de leurs fondements mathématiques, et capacité de traduire cela en implications commerciales pour nos clients +Solides compétences pour la gestion de projets + + +What You'll Bring + +TECHNOLOGIES: + +Programming Languages: Python + +Ce que vous apporterez + +TECHNOLOGIES : + +Langues de programmation : Python + +Additional info + +Additional info + +We seek people with drive, energy, first-rate minds, and ability to lead and persuade. In selecting people to join the firm, we carry out an intensive interviewing process. Candidates should demonstrate success in their academic and extracurricular activities, whether that be through volunteer work, professional experiences, or through personal initiatives. Compensation for associates entering the firm is extremely competitive and grows rapidly with strong performance. + +Language of work for positions permanently located in Quebec + +Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and suppliers in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French. + +Other Language Requirement + +Fluent English is required for this position in order to communicate with clients, partners and colleagues, who are predominantly located outside Quebec. + +How To Apply + +Candidates interested in applying must submit an application including a cover letter and résumé. + +Nous recherchons des personnes ambitieuses, énergiques, avec de la capacité intellectuelle à mener au bout des projets et à persuader. En choisissant des personnes à se joindre à l'entreprise, nous procédons à un processus intensif d'entrevue. + +Les candidats doivent démontrer leur succès dans leurs activités universitaires ou parascolaires, que ce soit par un travail bénévole, des stages professionnels ou encore des initiatives personnelles. La rémunération pour les analystes qui se joignent à l'entreprise est extrêmement concurrentielle et augmente rapidement en fonction de performance. + +Langue de travail pour les postes situés en permanence au Québec + +La connaissance du français est requise pour les postes situés en permanence au Québec afin que le titulaire puisse communiquer au besoin avec ses collègues et les fournisseurs au Québec. Une formation en français est offerte à tout titulaire d’un poste permanent au Québec qui ne possède pas une bonne connaissance du français. + +Autre exigence linguistique + +La maîtrise de l’anglais est requise pour ce poste afin de pouvoir communiquer avec les clients, partenaires et collègues qui sont majoritairement situés à l’extérieur du Québec. + +Comment postuler? + +Les candidats intéressés à postuler un poste d'analyste à l'un de nos bureaux canadiens du BCG doivent soumettre une demande, qui consiste en une lettre de présentation, un curriculum vitae, et un relevé de notes le plus récent. + +#BCGXjob + +Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. + +BCG is an E - Verify Employer. Click here for more information on E-Verify. +Show more ","
+ + + + + +
+
+ Locations: Toronto | Montreal

Who We Are

***To submit an application in French, please go to your settings at the top of the page and select French as your language preference. This will enable you to view the portal and application questions in French.***

***Pour soumettre une candidature en français, veuillez accéder à vos paramètres en haut de la page et sélectionner le français comme langue de préférence. Cela vous permettra de consulter le portail et les questions relatives à la candidature en français.***

Boston Consulting Group (BCG) is a global management consulting firm and the world’s leading advisor on business strategy. We partner with clients from the private, public, and not-for-profit sectors in all regions to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises. Our customized approach combines deep insight into the dynamics of companies and markets with close collaboration at all levels of the client organization. This ensures that our clients achieve sustainable competitive advantage, build more capable organizations, and secure lasting results. Founded in 1963, BCG is a private company with offices in more than 90 cities in 50 countries. For more information, please visit bcg.com.

BCG’s clients are the world’s top business leaders. From computers to retailing, our professional expertise spans over 50 industries. The vast majority of our clients rank among the 500 largest companies in each of our three major regions–Americas (North and South), Europe Middle East and Africa, and Asia Pacific. Additionally, we work with a number of small- to medium-sized companies, both public and private.

The success of our assignments routinely leads our clients to maintain long-term relationships with us. Over 85 percent of our revenues come from clients who continue to work with us from one year to the next to maintain the momentum for change and to continually improve bottom-line results they have achieved with our help.

We pride ourselves on our fresh thinking. Our evolving ideas profoundly change the way most businesses think about competition. Many leading business concepts over the past three decades originated with BCG–including, experience curve, time-based competition, Segment-of-One® marketing, deconstruction, and trading up. Our recent Collateral Damage publication series has addressed the implications for managers of the on-going financial crisis.

We believe that no other consulting organization has concentrated as thoroughly on understanding business competition and helping companies make the changes necessary to succeed in increasingly competitive markets.

La réputation mondiale du cabinet de conseil en gestion Boston Consulting Group (BCG), comme l'un des meilleurs en gestion, découle de plus de cinquante années d'expérience à aider les cadres supérieurs à découvrir et réaliser tout le potentiel de leur entreprise. Notre mission consiste à appuyer nos clients à réaliser des avantages concurrentiels durables en offrant des solutions personnalisées. Nous croyons fermement qu'il faut travailler avec nos clients, pas à leurs dépens. Nous collaborons avec chaque client pour l'aider à prendre une direction et à faire face aux défis organisationnels et opérationnels.

Fondé en 1963, BCG compte maintenant plus de 11,000 experts-conseils, et ce, dans plus de 90 bureaux dans le monde entier. Les clients du BCG sont les dirigeants des plus importantes entreprises du monde. Des ordinateurs jusqu'à la vente au détail, notre expertise professionnelle s'étend à plus de 50 industries. La grande majorité de nos clients figurent parmi les 500 plus grandes entreprises dans chacune de nos trois régions principales – Les Amériques (nord et sud), l'Europe (incluant le Moyen-Orient et l'Afrique) et l'Asie-Pacifique. De plus, nous travaillons avec un certain nombre de petites et moyennes entreprises, tant publiques que privées.

Notre succès, provenant des mandats qui nous sont assignés, nous permet d'établir des relations à long terme avec nos clients. Plus de 85 pourcents de nos revenus proviennent de clients qui continuent à travailler avec nous d'une année à l'autre pour conserver l'élan de changement et pour améliorer continuellement les résultats nets qu'ils ont réalisés grâce à notre aide.

Nous sommes fiers de notre approche innovatrice. Nos idées évolutives changent profondément la manière dont la plupart des entreprises considèrent la concurrence. Plusieurs des principaux concepts d'affaires, au cours des trois dernières décennies, ont commencé avec BCG, y compris la courbe d'apprentissage, la concurrence calculée sur le temps, le marketing Segment-of-One®, le démantèlement et l'extension ascendante. Nos récentes publications de la série Collateral Damage ont traité de l'implication des dirigeants face à la crise financière en cours.

Nous croyons qu'aucune autre organisation de conseil en gestion ne s'est concentrée aussi attentivement à la compréhension de la concurrence en affaires et à aider les entreprises à effectuer les changements nécessaires pour réussir sur des marchés de plus en plus compétitifs.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.

As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.

Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.

We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following:

  • Comfortable in a client-facing role with the ambition to lead teams
  • Likes to distill complex results or processes into simple, clear visualizations
  • Explain sophisticated data science concepts in an understandable manner
  • Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
  • Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
  • Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
  • Have strong project management skills

Nos équipes BCG X sont responsables de l’ensemble de la chaîne de valeur de l’analyse de bout en bout : encadrer de nouveaux défis commerciaux, concevoir des algorithmes d’innovation, mettre en œuvre et déployer des solutions évolutives, et permettre à nos collègues et clients d’adopter pleinement l’IA. Nos offres de produits s’étendent des versions entièrement personnalisées aux solutions logicielles d’IA de pointe spécifiques à l’industrie.

En tant que scientifique des données, vous ferez partie de notre équipe en pleine croissance. Vous aurez l’occasion d’appliquer des méthodes et des analyses de science des données à des situations commerciales réelles dans une variété d’industries pour avoir un impact commercial important. Vous aurez l’occasion de collaborer avec des clients de diverses régions et industries du BCG et sur des sujets clés comme le changement climatique, leur permettant de concevoir, de construire et de déployer des solutions nouvelles et d’innovation.

Les responsabilités supplémentaires comprendront le développement et la prestation d’un leadership éclairé dans les communautés et les articles scientifiques, ainsi que la direction de conférences au nom du BCG X. Les candidats à succès sont des bâtisseurs intellectuels curieux qui ont un parti pris vers l’action, sont ambitieux et ont le sens de la communication.

Nous sommes à la recherche de personnes talentueuses passionnées par la science des données, les statistiques, la recherche sur les opérations et la transformation d’organisations en entreprises innovantes dirigées par l’IA. Les candidats à succès possèdent les compétences suivantes :

  • Aisance à occuper un rôle de contact avec les clients et ambition de diriger des équipes
  • Aime distiller des résultats ou des processus complexes en visualisations simples et claires
  • Capacité d’expliquer les concepts sophistiqués de la science des données de manière compréhensible
  • Aime construire des choses et est à l’aise de travailler avec des outils de développement modernes et de rédiger des codes en collaboration (points en prime si vous avez une expérience en développement de logiciels ou DevOps)
  • Vaste expérience dans l’application d’analyses avancées dans diverses situations d’affaires et capacité reconnue de synthétiser des données complexes
  • Compréhension approfondie des techniques modernes d’apprentissage automatique et de leurs fondements mathématiques, et capacité de traduire cela en implications commerciales pour nos clients
  • Solides compétences pour la gestion de projets

What You'll Bring

TECHNOLOGIES:

Programming Languages: Python

Ce que vous apporterez

TECHNOLOGIES :

Langues de programmation : Python

Additional info

Additional info

We seek people with drive, energy, first-rate minds, and ability to lead and persuade. In selecting people to join the firm, we carry out an intensive interviewing process. Candidates should demonstrate success in their academic and extracurricular activities, whether that be through volunteer work, professional experiences, or through personal initiatives. Compensation for associates entering the firm is extremely competitive and grows rapidly with strong performance.

Language of work for positions permanently located in Quebec

Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and suppliers in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French.

Other Language Requirement

Fluent English is required for this position in order to communicate with clients, partners and colleagues, who are predominantly located outside Quebec.

How To Apply

Candidates interested in applying must submit an application including a cover letter and résumé.

Nous recherchons des personnes ambitieuses, énergiques, avec de la capacité intellectuelle à mener au bout des projets et à persuader. En choisissant des personnes à se joindre à l'entreprise, nous procédons à un processus intensif d'entrevue.

Les candidats doivent démontrer leur succès dans leurs activités universitaires ou parascolaires, que ce soit par un travail bénévole, des stages professionnels ou encore des initiatives personnelles. La rémunération pour les analystes qui se joignent à l'entreprise est extrêmement concurrentielle et augmente rapidement en fonction de performance.

Langue de travail pour les postes situés en permanence au Québec

La connaissance du français est requise pour les postes situés en permanence au Québec afin que le titulaire puisse communiquer au besoin avec ses collègues et les fournisseurs au Québec. Une formation en français est offerte à tout titulaire d’un poste permanent au Québec qui ne possède pas une bonne connaissance du français.

Autre exigence linguistique

La maîtrise de l’anglais est requise pour ce poste afin de pouvoir communiquer avec les clients, partenaires et collègues qui sont majoritairement situés à l’extérieur du Québec.

Comment postuler?

Les candidats intéressés à postuler un poste d'analyste à l'un de nos bureaux canadiens du BCG doivent soumettre une demande, qui consiste en une lettre de présentation, un curriculum vitae, et un relevé de notes le plus récent.

#BCGXjob

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify. +
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",2024-07-20,[] +3980870031,https://ca.linkedin.com/jobs/view/frontend-react-engineer-at-isgsearch-3980870031?position=1&pageNum=2&refId=sXB3iuHcvsd5Hw%2FyL5O9EA%3D%3D&trackingId=vwk9VCnIQBsN5GjRYdyIZA%3D%3D&trk=public_jobs_jserp-result_search-card,Frontend React Engineer,isgSearch,"Greater Toronto Area, Canada","You believe building software products that are a competitive advantage to our business and comprises two technical guilds (Engineering and Data Science) which support our Product Office (Product Management and Product +Development). As a member of the UI/UX Engineering team, you will design and build frontend systems and graphics that change and augment human interactions with new and existing processes. This will entail understanding +existing processes, simplifying them and embedding machine learning into every step in the user journey and helping the user learn with machines as they get smarter together. You will also have the opportunity to influence architecture and the technology stack to promote quality and innovation necessary for industry +changing experiences. + +What you will do +Understanding existing processes and workflows through direct interactions with end users and crossfunctional process owners. +Harvest and study user & application telemetry to better understand human interactions with technology +Synthesize information and data from Users, Process Owners, Data Scientists and Telemetry systems influence into enhanced user journeys by delivering interactive wireframes. +Daily interactions with Product, Data Science and Data Engineering teams to promote and integrate new +technologies and reusable components +Develop and deploy features continuously with automated unit testing and integration testing +Review code daily to promote high quality and frequent production deployments +Contribute to our long term technical roadmap + +Who we are looking for +Bachelor's or Master's degree in Computer Science, or related engineering field +Real-world experience developing scalable software +Experience in designing user experiences and building user interfaces +Passion and ability for esthetics, design, colors, user psychology and experimentation +Experience with high velocity CI/CD systems, agile ways of working and A/B testing to accelerate iteration +cycles +Technology Skills +React +TypeScript +GraphQL (Apollo) +Micro-Frontend Architecture +A/B Testing +Jest Unit Testing +Cypress E2E Testing +Extra Credit +Nest.js +Prisma +Hotjar +Mixpanel +Cloud Systems (Azure, AWS, GCP) +Benefits & +Show more ","
+ + + + + +
+
+ You believe building software products that are a competitive advantage to our business and comprises two technical guilds (Engineering and Data Science) which support our Product Office (Product Management and Product
Development). As a member of the UI/UX Engineering team, you will design and build frontend systems and graphics that change and augment human interactions with new and existing processes. This will entail understanding
existing processes, simplifying them and embedding machine learning into every step in the user journey and helping the user learn with machines as they get smarter together. You will also have the opportunity to influence architecture and the technology stack to promote quality and innovation necessary for industry
changing experiences.

What you will do
Understanding existing processes and workflows through direct interactions with end users and crossfunctional process owners.
Harvest and study user & application telemetry to better understand human interactions with technology
Synthesize information and data from Users, Process Owners, Data Scientists and Telemetry systems influence into enhanced user journeys by delivering interactive wireframes.
Daily interactions with Product, Data Science and Data Engineering teams to promote and integrate new
technologies and reusable components
Develop and deploy features continuously with automated unit testing and integration testing
Review code daily to promote high quality and frequent production deployments
Contribute to our long term technical roadmap

Who we are looking for
Bachelor's or Master's degree in Computer Science, or related engineering field
Real-world experience developing scalable software
Experience in designing user experiences and building user interfaces
Passion and ability for esthetics, design, colors, user psychology and experimentation
Experience with high velocity CI/CD systems, agile ways of working and A/B testing to accelerate iteration
cycles
Technology Skills
React
TypeScript
GraphQL (Apollo)
Micro-Frontend Architecture
A/B Testing
Jest Unit Testing
Cypress E2E Testing
Extra Credit
Nest.js
Prisma
Hotjar
Mixpanel
Cloud Systems (Azure, AWS, GCP)
Benefits & +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-20,[] +3914115635,https://ca.linkedin.com/jobs/view/applied-ai-developer-at-klick-3914115635?position=2&pageNum=2&refId=sXB3iuHcvsd5Hw%2FyL5O9EA%3D%3D&trackingId=WrLoXYisKoBE8mjPKOSOpQ%3D%3D&trk=public_jobs_jserp-result_search-card,Applied AI Developer,Klick,"Toronto, Ontario, Canada","We are seeking an Applied AI Developer, an expert in generative AI and Large Language Models (LLMs), to join our team. In this role, you would be responsible for building and implementing a wide range of systems that use Generative AI to solve real-world business problems. This is not an R&D role. You will be applying existing generative AI technologies not creating new ones. You will work closely with various internal stakeholders, assessing project feasibility and overseeing the building and implementation of a diverse portfolio of projects. If you excel in translating complex AI requirements into fully-realized, innovative solutions, we’d love to hear from you. + +Key Responsibilities: + + +Building AI Solutions: Lead the development of AI solutions, ensuring alignment with stakeholder requirements and organizational goals. You will oversee the entire development process, from initial conception to full-fledged implementation +Coding & Prompt Engineering: Utilize Python to integrate various AI services and APIs, creating cohesive AI systems. In prompt engineering, you’ll craft and refine user inputs to effectively guide AI responses, ensuring accurate and contextually relevant outcomes +Feasibility Assessment: Collaborate with stakeholders to assess project feasibility and craft workable action plans based on client requirements +Collaboration & Training: Work with tech teams, delegating components as necessary, and communicate generative AI concepts in clear, accessible language +Defensive Design Strategy: Develop AI solutions with safeguards against abuse, misuse, and prompt injection, ensuring robust, secure systems in line with healthcare standards. + + + +Required Skills: + + +Expert knowledge of how to apply generative AI - LLMs such as GPT, LLaMa, and Claude +Proficiency in Python, and APIs such as OpenAI, Azure AI, Amazon Bedrock, and Google Vertex +Ability to balance rapid proof of concept development with full-stack deployment +Proven experience in developing Generative AI solutions + + + +Desirable Qualifications: + + +Excellent communication skills, particularly when explaining complex technical concepts to non-technical stakeholders +Knowledge of healthcare regulations is a significant plus +Front-end development experience is beneficial but not required. + + + +Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. + +We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience. + + +Show more ","
+ + + + + +
+
+ We are seeking an Applied AI Developer, an expert in generative AI and Large Language Models (LLMs), to join our team. In this role, you would be responsible for building and implementing a wide range of systems that use Generative AI to solve real-world business problems. This is not an R&D role. You will be applying existing generative AI technologies not creating new ones. You will work closely with various internal stakeholders, assessing project feasibility and overseeing the building and implementation of a diverse portfolio of projects. If you excel in translating complex AI requirements into fully-realized, innovative solutions, we’d love to hear from you.

Key Responsibilities:

  • Building AI Solutions: Lead the development of AI solutions, ensuring alignment with stakeholder requirements and organizational goals. You will oversee the entire development process, from initial conception to full-fledged implementation
  • Coding & Prompt Engineering: Utilize Python to integrate various AI services and APIs, creating cohesive AI systems. In prompt engineering, you’ll craft and refine user inputs to effectively guide AI responses, ensuring accurate and contextually relevant outcomes
  • Feasibility Assessment: Collaborate with stakeholders to assess project feasibility and craft workable action plans based on client requirements
  • Collaboration & Training: Work with tech teams, delegating components as necessary, and communicate generative AI concepts in clear, accessible language
  • Defensive Design Strategy: Develop AI solutions with safeguards against abuse, misuse, and prompt injection, ensuring robust, secure systems in line with healthcare standards.


Required Skills:

  • Expert knowledge of how to apply generative AI - LLMs such as GPT, LLaMa, and Claude
  • Proficiency in Python, and APIs such as OpenAI, Azure AI, Amazon Bedrock, and Google Vertex
  • Ability to balance rapid proof of concept development with full-stack deployment
  • Proven experience in developing Generative AI solutions


Desirable Qualifications:

  • Excellent communication skills, particularly when explaining complex technical concepts to non-technical stakeholders
  • Knowledge of healthcare regulations is a significant plus
  • Front-end development experience is beneficial but not required.


Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities.

We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3989995140,https://ca.linkedin.com/jobs/view/senior-machine-learning-engineer-at-tali-ai-3989995140?position=3&pageNum=2&refId=sXB3iuHcvsd5Hw%2FyL5O9EA%3D%3D&trackingId=oNq7N0J2jzz%2FOAKKV43ONA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer,Tali AI,"Toronto, Ontario, Canada","Physicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements compounded by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the ""great resignation of healthcare,"" with doctors leaving their positions due to overwhelming stress and exhaustion. + +Tali AI is dedicated to tackling the issue of physician burnout through the development of a voice-enabled virtual assistant designed specifically for physicians. Our voice enabled AI innovative assistant streamlines their professional lives by significantly minimizing the time spent on documentation and administrative tasks. + +Tali AI is looking for a Senior Machine Learning Engineer to play a crucial role in advancing our capabilities in understanding, processing and generating natural language, as well as improving the accuracy and efficiency of our speech recognition systems. + +Who You Are: + + +You have a degree in Computer Science, Engineering, or a related field with a focus on machine learning, NLP, ASR, or equivalent practical experience +You have at least 8 years of professional experience in machine learning engineering, with a strong emphasis on NLP and ASR +Proficiency in programming languages such as Python, Java, or C++ for implementing machine learning algorithms and building scalable systems +Deep understanding of NLP techniques including text classification, named entity recognition, sentiment analysis, and machine translation +Solid grasp of ASR concepts such as acoustic modeling, language modeling, and speech signal processing +Strong problem-solving skills and the ability to think creatively to overcome challenges in machine learning projects +Excellent communication skills and the ability to collaborate effectively in a team environment + + +What You'll Do: + + +Lead the design, development, and implementation of state-of-the-art machine learning models and algorithms for NLP and ASR applications +Conduct research and stay up-to-date with the latest advancements in NLP and ASR to continuously enhance our technology stack +Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate machine learning solutions into our products and services +Analyze and preprocess large volumes of text and speech data to extract meaningful insights and features for model training +Optimize model performance and scalability to meet stringent latency and throughput requirements +Conduct thorough experimentation and evaluation to assess the performance of NLP and ASR models and identify areas for improvement +Provide mentorship and guidance to junior members of the machine learning team, fostering a culture of continuous learning and innovation + + +Our Core Values + + +Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day +Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously +Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge + + +Perks and Benefits + + +Comprehensive health and wellness benefits package from day one +Three weeks paid vacation and additional company-wide holiday between Dec 25 - Jan 1 +Half day Fridays (35-hour work week) +“Knowledge Dollars” to invest in annual professional development +Quarterly socials & company outings +Fully remote work + + +Recruitment Process + +Here’s what to expect from the recruitment process: + + +Selected candidates will be contacted for an initial 30-minute interview +Hiring Manager Interview +Interview with a Co-Founder/Executive Leader +Decision Stage + + +Working at Tali: + +Our core values: + + +Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day +Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously +Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge + + +Recruitment Process + + +Here’s what to expect from the recruitment process: +Selected candidates will be contacted for an initial 30-minute interview +Hiring Manager Interview +Interview with a Co-Founder/Executive Leader +Decision Stage + + +We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact the Human Resources team at people@tali.ai. + +Powered by JazzHR + +sgJEr4Udgo +Show more ","
+ + + + + +
+
+ Physicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements compounded by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the ""great resignation of healthcare,"" with doctors leaving their positions due to overwhelming stress and exhaustion.

Tali AI is dedicated to tackling the issue of physician burnout through the development of a voice-enabled virtual assistant designed specifically for physicians. Our voice enabled AI innovative assistant streamlines their professional lives by significantly minimizing the time spent on documentation and administrative tasks.

Tali AI is looking for a Senior Machine Learning Engineer to play a crucial role in advancing our capabilities in understanding, processing and generating natural language, as well as improving the accuracy and efficiency of our speech recognition systems.

Who You Are:

  • You have a degree in Computer Science, Engineering, or a related field with a focus on machine learning, NLP, ASR, or equivalent practical experience
  • You have at least 8 years of professional experience in machine learning engineering, with a strong emphasis on NLP and ASR
  • Proficiency in programming languages such as Python, Java, or C++ for implementing machine learning algorithms and building scalable systems
  • Deep understanding of NLP techniques including text classification, named entity recognition, sentiment analysis, and machine translation
  • Solid grasp of ASR concepts such as acoustic modeling, language modeling, and speech signal processing
  • Strong problem-solving skills and the ability to think creatively to overcome challenges in machine learning projects
  • Excellent communication skills and the ability to collaborate effectively in a team environment

What You'll Do:

  • Lead the design, development, and implementation of state-of-the-art machine learning models and algorithms for NLP and ASR applications
  • Conduct research and stay up-to-date with the latest advancements in NLP and ASR to continuously enhance our technology stack
  • Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate machine learning solutions into our products and services
  • Analyze and preprocess large volumes of text and speech data to extract meaningful insights and features for model training
  • Optimize model performance and scalability to meet stringent latency and throughput requirements
  • Conduct thorough experimentation and evaluation to assess the performance of NLP and ASR models and identify areas for improvement
  • Provide mentorship and guidance to junior members of the machine learning team, fostering a culture of continuous learning and innovation

Our Core Values

  • Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day
  • Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously
  • Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge

Perks and Benefits

  • Comprehensive health and wellness benefits package from day one
  • Three weeks paid vacation and additional company-wide holiday between Dec 25 - Jan 1
  • Half day Fridays (35-hour work week)
  • “Knowledge Dollars” to invest in annual professional development
  • Quarterly socials & company outings
  • Fully remote work

Recruitment Process

Here’s what to expect from the recruitment process:

  • Selected candidates will be contacted for an initial 30-minute interview
  • Hiring Manager Interview
  • Interview with a Co-Founder/Executive Leader
  • Decision Stage

Working at Tali:

Our core values:

  • Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day
  • Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously
  • Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge

Recruitment Process

  • Here’s what to expect from the recruitment process:
  • Selected candidates will be contacted for an initial 30-minute interview
  • Hiring Manager Interview
  • Interview with a Co-Founder/Executive Leader
  • Decision Stage

We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact the Human Resources team at people@tali.ai.

Powered by JazzHR

sgJEr4Udgo +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3989654963,https://ca.linkedin.com/jobs/view/principal-data-scientist-optimization-at-tiger-analytics-3989654963?position=5&pageNum=2&refId=sXB3iuHcvsd5Hw%2FyL5O9EA%3D%3D&trackingId=3YZIgNaOHPdiVnGrsAypjA%3D%3D&trk=public_jobs_jserp-result_search-card,Principal Data Scientist - Optimization,Tiger Analytics,"Toronto, Ontario, Canada","Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. + +We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space. + +We are looking for a Prinicpal Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team. + +Key Responsibilities: + + +Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming +Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG +Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation +Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain +Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions +Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies +Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement +Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization +Collaborate, coach, and learn with a growing team of experienced Data Scientists + + + +Requirements + + +Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation +MS or PhD in OR, IE, Math and ACO (Algorithm, Combinatorics, and Optimization) +Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications +Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts +Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries +Ability to apply various analytical models to business use cases +Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders + + + +Benefits + +This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. +Show more ","
+ + + + + +
+
+ Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Prinicpal Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists


Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation
  • MS or PhD in OR, IE, Math and ACO (Algorithm, Combinatorics, and Optimization)
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders


Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3981365155,https://ca.linkedin.com/jobs/view/senior-data-scientist-hts-fintech-ancillaries-at-hopper-3981365155?position=7&pageNum=2&refId=sXB3iuHcvsd5Hw%2FyL5O9EA%3D%3D&trackingId=WkwU%2FGS0JDBOB2UrOmKiFQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - HTS - Fintech Ancillaries,Hopper,"Toronto, Ontario, Canada","About The Job + +As a Sr Data Scientist, you will be focusing on solving data and engineering problems that allow Hopper to offer products that help our customers navigate common travel headaches (like flight delays, cancellations, or price anxiety), and ultimately get where they want to be. + +This role will touch all of Hopper’s fintech products and be focused on delivering Hopper’s products to B2B partners. Your primary focus will be improving upon existing ML pricing models as well as developing and deploying new frameworks for us to better price our products. + +You will own the entire model development, deployment, and performance tracking for several B2B partners. + +What Would Your Day-to-day Look Like + + +Ensure we are priced correctly based on changing demand environments and external conditions. Identify segments where we are mispriced and deploy scalable solutions to correct pricing models +Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience +Initiate, develop, and maintain data pipelines that power our decision making +Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them +Find new opportunities for revenue growth by becoming the expert on our data and customers + + +An Ideal Candidate Has + + +A proven track record of solving complex problems with in depth understanding of data, product and business impact +High attention to detail and ability to create scalable data solutions +Strong creative problem-solving skills and critical thinking competencies +Ability to effectively communicate pricing decisions and performance to executive-level stakeholders +Designed, implemented, and deployed pricing models into production using modern technologies +Fluency in using SQL for data creation, maintenance and analysis +High proficiency in Python +Experience with data visualization to convey ML models behavior and business insights +Worked on a consumer product and has shipped high impact models at scale + + +Perks And Benefits Of Working With Us + + +Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages +Hopper covers 100% of the premiums for group insurance plan through Sun life Financial. Coverage includes: +80% on paramedical coverage +90% - 100% on prescription drugs +80% on minor/preventative dental +50% on major dental work, plus more +100% coverage for eye exams & reimbursement on vision care (glasses, contacts, etc.) +Hopper offers life, short term and long term disability coverage through Sun Life Financial. +HSA through Sun Life Financial that covers eligible medical and dental expenses. +All employees and dependents have access to Dialogue’s telemedicine services, anytime, anywhere. +All employees have access to an RRSP plan through Sun Life Financial with automatic pre-tax withdrawals per pay. +Please ask us about our very generous parental leave, much above industry standards! +Unlimited PTO +Carrot Cash travel stipend +Flexdesk All Access Pass AND Work-from-home stipend +Entrepreneurial culture where pushing limits and taking risks is everyday business +Open communication with management and company leadership +Small, dynamic teams = massive impact + + +#posttoexternal + +More About Hopper + +At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. + +The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. Ranked the third largest online travel agency in North America, the Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. + +While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a global travel agency and travel fintech provider that powers some of the world’s largest brands. + +Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada and many more. + +Here are just a few stats that demonstrate the company’s recent growth: + +Hopper sells billion worth of travel and travel fintech every year. In 2023, over 1.3 billion trips were planned through the Hopper app and our HTS partnerships. + +Our fintech products – including Price Freeze, Flexibility for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions. + +Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel. + +Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 50% of the business. + +Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines with many more in the pipeline. + +Featured in Apple’s Best of the App Store list of Essential Travel Apps in 2023 and recognized by the likes of Fast Company’s Most Innovative Companies, Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America and 70% of our app customers are Gen-Z and millennials travelers. + +Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. + +Come take off with us! +Show more ","
+ + + + + +
+
+ About The Job

As a Sr Data Scientist, you will be focusing on solving data and engineering problems that allow Hopper to offer products that help our customers navigate common travel headaches (like flight delays, cancellations, or price anxiety), and ultimately get where they want to be.

This role will touch all of Hopper’s fintech products and be focused on delivering Hopper’s products to B2B partners. Your primary focus will be improving upon existing ML pricing models as well as developing and deploying new frameworks for us to better price our products.

You will own the entire model development, deployment, and performance tracking for several B2B partners.

What Would Your Day-to-day Look Like

  • Ensure we are priced correctly based on changing demand environments and external conditions. Identify segments where we are mispriced and deploy scalable solutions to correct pricing models
  • Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience
  • Initiate, develop, and maintain data pipelines that power our decision making
  • Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them
  • Find new opportunities for revenue growth by becoming the expert on our data and customers

An Ideal Candidate Has

  • A proven track record of solving complex problems with in depth understanding of data, product and business impact
  • High attention to detail and ability to create scalable data solutions
  • Strong creative problem-solving skills and critical thinking competencies
  • Ability to effectively communicate pricing decisions and performance to executive-level stakeholders
  • Designed, implemented, and deployed pricing models into production using modern technologies
  • Fluency in using SQL for data creation, maintenance and analysis
  • High proficiency in Python
  • Experience with data visualization to convey ML models behavior and business insights
  • Worked on a consumer product and has shipped high impact models at scale

Perks And Benefits Of Working With Us

  • Well-funded and proven startup with large ambitions, competitive salary and upsides of pre-IPO equity packages
  • Hopper covers 100% of the premiums for group insurance plan through Sun life Financial. Coverage includes:
  • 80% on paramedical coverage
  • 90% - 100% on prescription drugs
  • 80% on minor/preventative dental
  • 50% on major dental work, plus more
  • 100% coverage for eye exams & reimbursement on vision care (glasses, contacts, etc.)
  • Hopper offers life, short term and long term disability coverage through Sun Life Financial.
  • HSA through Sun Life Financial that covers eligible medical and dental expenses.
  • All employees and dependents have access to Dialogue’s telemedicine services, anytime, anywhere.
  • All employees have access to an RRSP plan through Sun Life Financial with automatic pre-tax withdrawals per pay.
  • Please ask us about our very generous parental leave, much above industry standards!
  • Unlimited PTO
  • Carrot Cash travel stipend
  • Flexdesk All Access Pass AND Work-from-home stipend
  • Entrepreneurial culture where pushing limits and taking risks is everyday business
  • Open communication with management and company leadership
  • Small, dynamic teams = massive impact

#posttoexternal

More About Hopper

At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips.

The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. Ranked the third largest online travel agency in North America, the Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials.

While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a global travel agency and travel fintech provider that powers some of the world’s largest brands.

Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada and many more.

Here are just a few stats that demonstrate the company’s recent growth:

Hopper sells billion worth of travel and travel fintech every year. In 2023, over 1.3 billion trips were planned through the Hopper app and our HTS partnerships.

Our fintech products – including Price Freeze, Flexibility for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions.

Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel.

Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 50% of the business.

Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines with many more in the pipeline.

Featured in Apple’s Best of the App Store list of Essential Travel Apps in 2023 and recognized by the likes of Fast Company’s Most Innovative Companies, Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America and 70% of our app customers are Gen-Z and millennials travelers.

Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace.

Come take off with us! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-23,[] +3986768121,https://ca.linkedin.com/jobs/view/data-scientist-advanced-analytics-and-modelling-at-canadian-tire-corporation-3986768121?position=8&pageNum=2&refId=sXB3iuHcvsd5Hw%2FyL5O9EA%3D%3D&trackingId=zWeFwNSM5aKjiFDDsZI5VA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Advanced Analytics and Modelling",Canadian Tire Corporation,"Toronto, Ontario, Canada","What You’ll Do + +We are seeking a results-oriented Data Science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to develop robust machine learning models, perform customer and program analytics, and develop analytical measurement frameworks. The Data Scientist will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization. + + +Develop a deep understanding of our Retail business, Loyalty and Credit Card Customers, and Marketing programs. +Support the development of models and other analytics tools to increase customer engagement, marketing program efficiency, and loyalty program effectiveness. +Collaborate in cross-functional teams to generate models, insights, and measurement frameworks that improve business practices and generate measurable business value. +Scope and structure data science projects while considering business needs and technical constraints. +Perform advanced quantitative and statistical analysis of retail, customer and loyalty data to identify trends, patterns, and correlations which will be used in making critical business decisions that enhance business performance. +Support the development of a robust measurement practice using the latest technologies and advancements in machine learning to provide timely insights. +Establish Machine Learning/Deep Learning models to improve customer engagement and marketing program performance. +Provide creative solutions, recommendations, and timely advice that align business needs with analytical/modelling concepts. +Establish necessary data pipelines to deploy AI/ML solutions. +Act as an active contributor to the analytics strategy within the Advanced Analytics team. + + +Key Relationships + + +Peers within the Advanced Analytics and Modelling team +Business Stakeholders throughout the retail organization. + + +What You Bring + + +M.S or PhD, preferably in Statistics/Math/Economics/Computer Science or a related quantitative discipline. +3+ years experience developing and implementing data science solutions for retail businesses, or loyalty programs. +Proficiency in using industry standard programming languages, including Python, R, or SAS. +3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc. +Demonstrated understanding of statistical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints. +Familiarity with cloud-based data structures including tools to extract, manipulate and transform data within the cloud. Experience with Databricks and Azure Synapse is an asset. +3+ years interpreting, synthesizing, and presenting complex models and analysis to business partners. +Excellent oral and written communication skills, with the ability to communicate both technical and business concepts, as well as strong presentation skills. +Demonstrated confidence and clear presentation style. + + +Hybrid + +At Canadian Tire we work flexibility embracing ‘Hybrid’ whereby individuals utilize a combination of working at a CTC campus and or virtually in service of outcomes. Determined by managers, decisions around work location will be made based on business and team needs and grounded in a desire to support individual well-being and personal needs. Our goal is to empower teams and individuals to make the right decisions for them, and we expect that to look different for everyone. + +About Us + +Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here. + +Our Commitment to Diversity, Inclusion and Belonging + +We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. + +Accommodations + +We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs. + + +Show more ","
+ + + + + +
+
+ What You’ll Do

We are seeking a results-oriented Data Science professional who can support retail, loyalty, and customer analytics. The primary focus of this position is to develop robust machine learning models, perform customer and program analytics, and develop analytical measurement frameworks. The Data Scientist will perform analytics in support of customer engagement, loyalty program optimization, and marketing program efficiency. Models, analytics, and insights developed will help achieve the strategic goals of our Retail organization.

  • Develop a deep understanding of our Retail business, Loyalty and Credit Card Customers, and Marketing programs.
  • Support the development of models and other analytics tools to increase customer engagement, marketing program efficiency, and loyalty program effectiveness.
  • Collaborate in cross-functional teams to generate models, insights, and measurement frameworks that improve business practices and generate measurable business value.
  • Scope and structure data science projects while considering business needs and technical constraints.
  • Perform advanced quantitative and statistical analysis of retail, customer and loyalty data to identify trends, patterns, and correlations which will be used in making critical business decisions that enhance business performance.
  • Support the development of a robust measurement practice using the latest technologies and advancements in machine learning to provide timely insights.
  • Establish Machine Learning/Deep Learning models to improve customer engagement and marketing program performance.
  • Provide creative solutions, recommendations, and timely advice that align business needs with analytical/modelling concepts.
  • Establish necessary data pipelines to deploy AI/ML solutions.
  • Act as an active contributor to the analytics strategy within the Advanced Analytics team.

Key Relationships

  • Peers within the Advanced Analytics and Modelling team
  • Business Stakeholders throughout the retail organization.

What You Bring

  • M.S or PhD, preferably in Statistics/Math/Economics/Computer Science or a related quantitative discipline.
  • 3+ years experience developing and implementing data science solutions for retail businesses, or loyalty programs.
  • Proficiency in using industry standard programming languages, including Python, R, or SAS.
  • 3+ years of experience querying and analyzing large datasets with tools such as SQL, Spark, etc.
  • Demonstrated understanding of statistical techniques to programmatically select (and justify) the right approach given specific business problems and data/technology constraints.
  • Familiarity with cloud-based data structures including tools to extract, manipulate and transform data within the cloud. Experience with Databricks and Azure Synapse is an asset.
  • 3+ years interpreting, synthesizing, and presenting complex models and analysis to business partners.
  • Excellent oral and written communication skills, with the ability to communicate both technical and business concepts, as well as strong presentation skills.
  • Demonstrated confidence and clear presentation style.

Hybrid

At Canadian Tire we work flexibility embracing ‘Hybrid’ whereby individuals utilize a combination of working at a CTC campus and or virtually in service of outcomes. Determined by managers, decisions around work location will be made based on business and team needs and grounded in a desire to support individual well-being and personal needs. Our goal is to empower teams and individuals to make the right decisions for them, and we expect that to look different for everyone.

About Us

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3921096037,https://ca.linkedin.com/jobs/view/data-scientist-at-clio-cloud-based-legal-technology-3921096037?position=9&pageNum=2&refId=sXB3iuHcvsd5Hw%2FyL5O9EA%3D%3D&trackingId=zWsYLmqJturNeOS%2FsafFQg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Clio - Cloud-Based Legal Technology,"Toronto, Ontario, Canada","Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. + +Summary: + +We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams. + +You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products. + +The team: + +You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate. + +Who you are: + +We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is: + + +Passionate about driving growth empirically; +Always looking to innovate with data and explore open-ended questions; +Strategically minded and never shies away from a challenge; +Self-motivated and able to work autonomously and collaboratively; +Agile and responsive, and comfortable with constant change. + + +You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives. + +What you'll work on: + + +Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth. +Suggest new questions about our business, product, and customers that lead to impactful insights. +Work with other team members to develop predictive AI and ML solutions and deploy them in production. +Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives. +Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities. +Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example. +Effectively communicate complex technical concepts and findings to both technical and non-technical audiences. + + +What you may have: + + +3+ years applied experience in data science. +The ability to translate business requirements into data science solutions. +Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn) +Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively. +Excellent written and verbal communication skills. +Ability to write structured SQL queries for answering questions and manipulating data. + + +Serious bonus points if you have: + + +Understanding of SaaS business metrics and growth drivers. +Experience with FinTech concepts. +Experience in analytics working with product and user behavior data, e.g., retention or churn analysis +Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow) +Experience with large data sets and user behavior data. +Experience with NLP and LLMs. +A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering) + + +What you will find here: + +Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. + +Some highlights of our Total Rewards program include: + + +Competitive, equitable salary with top-tier health benefits, dental, and vision insurance +Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day. +Flexible time off policy, with an encouraged 20 days off per year. +$2000 annual counseling benefit +RRSP matching and RESP contribution +Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years + + +The expected salary range* for this role is $106,500 to $144,200 CAD. Please note there are a separate set of salary bands for other regions based on local currency. + + +Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate. + + +Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility + +Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. + +Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. + +Learn more about our culture at clio.com/careers +Show more ","
+ + + + + +
+
+ Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams.

You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products.

The team:

You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate.

Who you are:

We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

  • Passionate about driving growth empirically;
  • Always looking to innovate with data and explore open-ended questions;
  • Strategically minded and never shies away from a challenge;
  • Self-motivated and able to work autonomously and collaboratively;
  • Agile and responsive, and comfortable with constant change.

You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.

What you'll work on:

  • Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth.
  • Suggest new questions about our business, product, and customers that lead to impactful insights.
  • Work with other team members to develop predictive AI and ML solutions and deploy them in production.
  • Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives.
  • Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities.
  • Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.
  • Effectively communicate complex technical concepts and findings to both technical and non-technical audiences.

What you may have:

  • 3+ years applied experience in data science.
  • The ability to translate business requirements into data science solutions.
  • Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
  • Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
  • Excellent written and verbal communication skills.
  • Ability to write structured SQL queries for answering questions and manipulating data.

Serious bonus points if you have:

  • Understanding of SaaS business metrics and growth drivers.
  • Experience with FinTech concepts.
  • Experience in analytics working with product and user behavior data, e.g., retention or churn analysis
  • Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow)
  • Experience with large data sets and user behavior data.
  • Experience with NLP and LLMs.
  • A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering)

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day.
  • Flexible time off policy, with an encouraged 20 days off per year.
  • $2000 annual counseling benefit
  • RRSP matching and RESP contribution
  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range* for this role is $106,500 to $144,200 CAD. Please note there are a separate set of salary bands for other regions based on local currency.

  • Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3959959492,https://ca.linkedin.com/jobs/view/software-developer-test-automation-at-scotiabank-3959959492?position=1&pageNum=5&refId=QfthGV67WumUUzDsWH%2B%2BMg%3D%3D&trackingId=pd5Z6Ug6mdUXAJMRdggg6Q%3D%3D&trk=public_jobs_jserp-result_search-card,Software Developer - Test Automation,Scotiabank,"Toronto, Ontario, Canada","Requisition ID: 202060 + +Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. + +As a Automation Test Engineer you’ll be working on our Platform Migration team at the Scotia Digital. You’ll work closely with multiple scrum teams to evangelize an emphasis on quality. You’ll contribute to highly applauded in house automation frameworks for UI, Microservices and Performance test. + +Is this role right for you? In this role you will: + + +You have an experience developing test automation frameworks in Java, python or React JS +You have written moderate to complex code/scripts to test systems. +Responsible for designing, developing and maintaining a modular, extensible and reusable test automation framework to enable the continuous testing in a DevOps environment +Developing code to automate the testing (Unit/ Integration) of micro services (Rest APIs) and ensuring the adequate test coverage of the application code +Partner with development engineers during story and task breakdown to develop test approach that effectively cover the functional and performance characteristics of a feature +Building, maintaining, and improving the existing automation framework, test harness, and processes +Be/become a SME on usage of entire application suite, processes, workflows, etc +Working with Engineering team Management to improve the testing process +Understanding of enterprise software design principles – architecture, design patterns, OOP +Comfortable working in a self-guided manner with the ability to prioritize tasks and manage your own time efficiently, without direct input or oversight + + +Skills + +Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have: + + +Good knowledge and experience in Java/ J2EE – at least 3 years +Good knowledge and experience in Spring Boot – at least 2 years +Strong knowledge of object-oriented software development best practices +Strong experience in developing Unit Tests and Integration Tests using testing frameworks such as JUnit, TestNG, and RestAssured – at least 2 years +Experience working in a DevOps environment. Experience with Java Build Tools: Maven or Gradle +Familiarity with OpenAPI Specification(OAS)/ Swagger, YAML, JSON +Knowledge/ experience in Java ORM Frameworks such as Hibernate, Spring DAO +Exposure to RDBMS such as Oracle or DB2. Knowledge and experience with SQL queries +Nice to have: experience in building, integrating and deploying web services (REST/ SOAP/JSON/XML) + + +What's in it for you? + + +Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. +Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. +Upskilling through online courses, cross-functional development opportunities, and tuition assistance. +Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. +Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more! + + +Work arrangements: Hybrid + +Location(s): Canada : Ontario : Toronto + +Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. + +At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted. + + +Show more ","
+ + + + + +
+
+ Requisition ID: 202060

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

As a Automation Test Engineer you’ll be working on our Platform Migration team at the Scotia Digital. You’ll work closely with multiple scrum teams to evangelize an emphasis on quality. You’ll contribute to highly applauded in house automation frameworks for UI, Microservices and Performance test.

Is this role right for you? In this role you will:

  • You have an experience developing test automation frameworks in Java, python or React JS
  • You have written moderate to complex code/scripts to test systems.
  • Responsible for designing, developing and maintaining a modular, extensible and reusable test automation framework to enable the continuous testing in a DevOps environment
  • Developing code to automate the testing (Unit/ Integration) of micro services (Rest APIs) and ensuring the adequate test coverage of the application code
  • Partner with development engineers during story and task breakdown to develop test approach that effectively cover the functional and performance characteristics of a feature
  • Building, maintaining, and improving the existing automation framework, test harness, and processes
  • Be/become a SME on usage of entire application suite, processes, workflows, etc
  • Working with Engineering team Management to improve the testing process
  • Understanding of enterprise software design principles – architecture, design patterns, OOP
  • Comfortable working in a self-guided manner with the ability to prioritize tasks and manage your own time efficiently, without direct input or oversight

Skills

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

  • Good knowledge and experience in Java/ J2EE – at least 3 years
  • Good knowledge and experience in Spring Boot – at least 2 years
  • Strong knowledge of object-oriented software development best practices
  • Strong experience in developing Unit Tests and Integration Tests using testing frameworks such as JUnit, TestNG, and RestAssured – at least 2 years
  • Experience working in a DevOps environment. Experience with Java Build Tools: Maven or Gradle
  • Familiarity with OpenAPI Specification(OAS)/ Swagger, YAML, JSON
  • Knowledge/ experience in Java ORM Frameworks such as Hibernate, Spring DAO
  • Exposure to RDBMS such as Oracle or DB2. Knowledge and experience with SQL queries
  • Nice to have: experience in building, integrating and deploying web services (REST/ SOAP/JSON/XML)

What's in it for you?

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

Work arrangements: Hybrid

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3980057983,https://ca.linkedin.com/jobs/view/data-engineering-intern-at-interac-corp-3980057983?position=2&pageNum=5&refId=QfthGV67WumUUzDsWH%2B%2BMg%3D%3D&trackingId=PJK5dTMJO6bz2sRPGys14A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Engineering Intern,Interac Corp.,"Toronto, Ontario, Canada","At Interac, we design and deliver products and solutions that give Canadians control over their money so they can get more out of life. But that’s not all. Whether we’re leading real-time money movement, driving innovative commerce solutions like open payments for transit systems, or making advancements in new areas like verification and open banking, we are playing a key role in shaping the future of the digital economy in Canada. + +Want to make a lasting impact amongst a community of creative thinkers, problem solvers, technical gurus and high-performance application developers? We want to hear from you. + +Reporting to the Leader, Data Engineering - the Data Engineering Intern will play a supporting role in the fulfillment of data requirements, leading value-add analytics and insights that contribute to business efficiencies and growth. + +Supporting the Senior Data Engineering Developers, the opportunity will provide further technical development and programming skills, gaining experience working with large datasets, various on-prem and cloud technologies and contributing to Interac's mission of powering and enhancing the digital economy in Canada. + +You’ll be responsible for: + + +Working with internal data and analytics consumers to deliver data from source to target +Monitoring and addressing the data quality issues +Building, automating and/or deploying internal tools to solve problems or improve processes +Generating new ideas, challenging the status quo, taking risks, supporting change, encouraging innovation, and solving problems creatively +Managing deliverables and timelines, negotiating with internal stakeholders to meet relevant project milestones. +Developing feature enhancements for data replication pipelines +Monitoring and driving remediation of data flow issues +Supporting the data pipelines jobs and aggregation executions +Documenting practices, processes and standard +Providing root cause analysis and reduction in data flow issues +Reporting impediments to stake holders +Updating and organizing documentation + + +You bring: + + +You are currently enrolled in a university or college program in a relevant discipline, like Computer Science, Computer Engineering, Data Science or similar field +Experience with SQL (any dialect), Python, Jira & Confluence +Ability to articulate complex concepts to communication to written technical documentation +You have great time management and organization, by prioritizing and managing your time to meet deadlines. +Have a since of curiosity and drive to identify opportunities to support internal processes +Have strong analytical and problem skills, to trouble shoot and drive continuous improvement initiatives +Confidence in your ability to communicate verbally in an impactful way +Comfortable with learning and working effectively either independently or with groups across different functions and levels.  +Although not required, you have some familiarity or previous experience with the following: +Data warehousing concepts +Familiarity with Linux-based systems +Git Fundamentals +PySpark / Distributed Computing +Talend, AWS, Oracle + + +Workstyle: Hybrid* + +Location: Toronto + +Term: Sept - December 2024 + +Duration: Monday - Friday + + +Must be eligible to work for Interac Corp. in Canada in a Full Time Capacity + + +PLEASE NOTE: To be eligible for Interac internship roles, you must be currently enrolled in a Canadian post secondary academic institution + +Interac requires employees to complete a background check that is completed by one of our service providers. We use this service to complete the following checks: + + +5-year employment verification; +Canadian criminal record check; +Education verification; +Canadian ID cross-check; +Public safety verification; and +Credit inquiry + + +How We Work + +We know that exceptional people have great ideas and are passionate about their work. Our culture encourages excellence and actively rewards contributions with: + +Connection: You’re surrounded by talented people every day who are driven by their passion of a common goal. + +Core Values: They define us. Living them helps us be the best at what we do. + +Compensation & Benefits: Pay is driven by individual and corporate performance and we provide a multitude of benefits and perks. + +Education: To ensure you are the best at what you do we invest in you +Show more ","
+ + + + + +
+
+ At Interac, we design and deliver products and solutions that give Canadians control over their money so they can get more out of life. But that’s not all. Whether we’re leading real-time money movement, driving innovative commerce solutions like open payments for transit systems, or making advancements in new areas like verification and open banking, we are playing a key role in shaping the future of the digital economy in Canada.

Want to make a lasting impact amongst a community of creative thinkers, problem solvers, technical gurus and high-performance application developers? We want to hear from you.

Reporting to the Leader, Data Engineering - the Data Engineering Intern will play a supporting role in the fulfillment of data requirements, leading value-add analytics and insights that contribute to business efficiencies and growth.

Supporting the Senior Data Engineering Developers, the opportunity will provide further technical development and programming skills, gaining experience working with large datasets, various on-prem and cloud technologies and contributing to Interac's mission of powering and enhancing the digital economy in Canada.

You’ll be responsible for:

  • Working with internal data and analytics consumers to deliver data from source to target
  • Monitoring and addressing the data quality issues
  • Building, automating and/or deploying internal tools to solve problems or improve processes
  • Generating new ideas, challenging the status quo, taking risks, supporting change, encouraging innovation, and solving problems creatively
  • Managing deliverables and timelines, negotiating with internal stakeholders to meet relevant project milestones.
  • Developing feature enhancements for data replication pipelines
  • Monitoring and driving remediation of data flow issues
  • Supporting the data pipelines jobs and aggregation executions
  • Documenting practices, processes and standard
  • Providing root cause analysis and reduction in data flow issues
  • Reporting impediments to stake holders
  • Updating and organizing documentation

You bring:

  • You are currently enrolled in a university or college program in a relevant discipline, like Computer Science, Computer Engineering, Data Science or similar field
  • Experience with SQL (any dialect), Python, Jira & Confluence
  • Ability to articulate complex concepts to communication to written technical documentation
  • You have great time management and organization, by prioritizing and managing your time to meet deadlines.
  • Have a since of curiosity and drive to identify opportunities to support internal processes
  • Have strong analytical and problem skills, to trouble shoot and drive continuous improvement initiatives
  • Confidence in your ability to communicate verbally in an impactful way
  • Comfortable with learning and working effectively either independently or with groups across different functions and levels. 
  • Although not required, you have some familiarity or previous experience with the following:
  • Data warehousing concepts
  • Familiarity with Linux-based systems
  • Git Fundamentals
  • PySpark / Distributed Computing
  • Talend, AWS, Oracle

Workstyle: Hybrid*

Location: Toronto

Term: Sept - December 2024

Duration: Monday - Friday

  • Must be eligible to work for Interac Corp. in Canada in a Full Time Capacity

PLEASE NOTE: To be eligible for Interac internship roles, you must be currently enrolled in a Canadian post secondary academic institution

Interac requires employees to complete a background check that is completed by one of our service providers. We use this service to complete the following checks:

  • 5-year employment verification;
  • Canadian criminal record check;
  • Education verification;
  • Canadian ID cross-check;
  • Public safety verification; and
  • Credit inquiry

How We Work

We know that exceptional people have great ideas and are passionate about their work. Our culture encourages excellence and actively rewards contributions with:

Connection: You’re surrounded by talented people every day who are driven by their passion of a common goal.

Core Values: They define us. Living them helps us be the best at what we do.

Compensation & Benefits: Pay is driven by individual and corporate performance and we provide a multitude of benefits and perks.

Education: To ensure you are the best at what you do we invest in you +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3980492694,https://ca.linkedin.com/jobs/view/software-engineer-at-scotiabank-3980492694?position=3&pageNum=5&refId=QfthGV67WumUUzDsWH%2B%2BMg%3D%3D&trackingId=I8gc7lcjNbUkq4L61xALFQ%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,Scotiabank,"Toronto, Ontario, Canada","Requisition ID: 191289 + +Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. + +The Team + +Global Banking and Markets Engineering (GBME) is the fast-moving, award-winning technology engine that powers Scotiabank’s Corporate, Investment Banking and Capital Markets businesses. + +The Role + +GBME is searching for Software Engineers who are continuous learners and are eager to boost capabilities of capital markets products and analytics platforms. + +The successful candidate will have a strong technical and engineering mindset. You will work closely with business teams and cross functional engineering leaders to develop and implement market leading solutions for the various projects within GBME. + +About The Job + +Do you thrive when faced with challenges? Like using fresh technologies to solve problems? Looking to work in various projects across the organization, collaborating with great teams and inspiring leaders? Then this is the right team for you! In this exciting role, you’ll apply your analytical skills to design and develop applications that deliver excellence, effectiveness, and value to our business partners and customers. + +In partnership with peer engineers, business partners, and the various GBME teams, you will: + + +Work closely with end users, and business teams to understand business needs, conduct gap analysis and requirements assessments as needed +Partner with Architecture on the design and integration +Deliver and enhance new and current solutions and applications +Be involved in the full life cycle of a project, responsible for producing actionable and complete specifications, writing production quality code, and implementation +Design, deliver and implement a database schema +Design test sets and automate where possible, including functional and non functional testing, regression testing as well as performance testing +Write deployment scripts and leverage tools such as the Accelerator pipeline to promote code. +Support the solution in production +Improve the end user experience by finding scalable solutions and addressing complex ad hoc queries. +Effectively communicate with technical and non-technical audiences +Able to work with and refactor legacy code (as needed). +Coach and train end users (as needed). +Participate and run SCRUM Meetings (as needed). + + +You are passionate about developing applications that are reusable, efficient, and scalable, working in an innovated cross functional team environment. + +Technical Qualifications + + +Experience with 2 or more modern development languages (Python, Java, etc.) +4+ years’ experience developing, deploying, and maintaining large scale applications with complex integration. +Recent experience with relational and non relational databases. +2 + years’ experience reading, writing, and running SQL scripts. +Experience working in an Agile environment, with experience and understanding of Test-Driven Development methodology. +Bachelor’s degree in computer science, Engineering or relevant experience. + + +Soft Skills + + +Excellent communication and presentation skills. +Work as a contributing member of a team. +Values quality, while still managing expectations and deliverables. +Open to ideas and gives and receives feedback well. +Wants to understand financial market. + + +Preferred Qualifications + + +Experience with some automated deployment. +Understanding of networking protocols. +Understanding of security principles. + + +What's in it for you? + + +Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. +Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. +Remote-friendly work environment will provide you with the flexibility to perform at your best. +Upskilling through online courses, cross-functional development opportunities, and tuition assistance. +Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. +Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more! + + +Location(s): Canada : Ontario : Toronto + +Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. + +At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted. +Show more ","
+ + + + + +
+
+ Requisition ID: 191289

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Team

Global Banking and Markets Engineering (GBME) is the fast-moving, award-winning technology engine that powers Scotiabank’s Corporate, Investment Banking and Capital Markets businesses.

The Role

GBME is searching for Software Engineers who are continuous learners and are eager to boost capabilities of capital markets products and analytics platforms.

The successful candidate will have a strong technical and engineering mindset. You will work closely with business teams and cross functional engineering leaders to develop and implement market leading solutions for the various projects within GBME.

About The Job

Do you thrive when faced with challenges? Like using fresh technologies to solve problems? Looking to work in various projects across the organization, collaborating with great teams and inspiring leaders? Then this is the right team for you! In this exciting role, you’ll apply your analytical skills to design and develop applications that deliver excellence, effectiveness, and value to our business partners and customers.

In partnership with peer engineers, business partners, and the various GBME teams, you will:

  • Work closely with end users, and business teams to understand business needs, conduct gap analysis and requirements assessments as needed
  • Partner with Architecture on the design and integration
  • Deliver and enhance new and current solutions and applications
  • Be involved in the full life cycle of a project, responsible for producing actionable and complete specifications, writing production quality code, and implementation
  • Design, deliver and implement a database schema
  • Design test sets and automate where possible, including functional and non functional testing, regression testing as well as performance testing
  • Write deployment scripts and leverage tools such as the Accelerator pipeline to promote code.
  • Support the solution in production
  • Improve the end user experience by finding scalable solutions and addressing complex ad hoc queries.
  • Effectively communicate with technical and non-technical audiences
  • Able to work with and refactor legacy code (as needed).
  • Coach and train end users (as needed).
  • Participate and run SCRUM Meetings (as needed).

You are passionate about developing applications that are reusable, efficient, and scalable, working in an innovated cross functional team environment.

Technical Qualifications

  • Experience with 2 or more modern development languages (Python, Java, etc.)
  • 4+ years’ experience developing, deploying, and maintaining large scale applications with complex integration.
  • Recent experience with relational and non relational databases.
  • 2 + years’ experience reading, writing, and running SQL scripts.
  • Experience working in an Agile environment, with experience and understanding of Test-Driven Development methodology.
  • Bachelor’s degree in computer science, Engineering or relevant experience.

Soft Skills

  • Excellent communication and presentation skills.
  • Work as a contributing member of a team.
  • Values quality, while still managing expectations and deliverables.
  • Open to ideas and gives and receives feedback well.
  • Wants to understand financial market.

Preferred Qualifications

  • Experience with some automated deployment.
  • Understanding of networking protocols.
  • Understanding of security principles.

What's in it for you?

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
  • Remote-friendly work environment will provide you with the flexibility to perform at your best.
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3966913701,https://ca.linkedin.com/jobs/view/lead-data-scientist-singapore-based-relocation-provided-at-agoda-3966913701?position=4&pageNum=5&refId=QfthGV67WumUUzDsWH%2B%2BMg%3D%3D&trackingId=Q1WEaYH3ENlTY3P4xunsvQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Lead Data Scientist (Singapore-based, relocation provided)",Agoda,"Toronto, Ontario, Canada","About Agoda + +Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. + +Our Purpose – Bridging the World Through Travel + +We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. + +We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. + +Get to Know Our Team + +The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. + +The Opportunity + +We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. + +As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. + +In This Role, You’ll Get to + + +Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness +Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation +Work with developers and a variety of business owners to deliver daily results with the best quality +Research discover and harness new ideas that can make a difference + + +What You’ll Need To Succeed + + +4+ years hands-on data science experience +Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks +Significant proficiency in SQL and languages like Python, PySpark and/or Scala +Can lead, work independently as well as play a key role in a team +Good communication and interpersonal skills for working in a multicultural work environment + + +It’s Great if You Have + + +PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields +Experience in NLP, image processing and/or recommendation systems +Hands on experience in data engineering, working with big data framework like Spark/Hadoop +Experience in data science for e-commerce and/or OTA + + +We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. + +#sanfrancisco #newyork #seattle #boston #washdc #sydney #melbourne #perth #paris #london #tokyo #dhaka #vienna #edinburgh #manchester #amsterdam #munich #berlin #toronto #vancouver #moscow #dublin #seoul #hcmc #singapore #ENG #IT #4 + +Equal Opportunity Employer + +At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. + +We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . + +To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes. + + +Show more ","
+ + + + + +
+
+ About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Our Purpose – Bridging the World Through Travel

We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.

We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

Get to Know Our Team

The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

In This Role, You’ll Get to

  • Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
  • Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
  • Work with developers and a variety of business owners to deliver daily results with the best quality
  • Research discover and harness new ideas that can make a difference

What You’ll Need To Succeed

  • 4+ years hands-on data science experience
  • Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
  • Significant proficiency in SQL and languages like Python, PySpark and/or Scala
  • Can lead, work independently as well as play a key role in a team
  • Good communication and interpersonal skills for working in a multicultural work environment

It’s Great if You Have

  • PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
  • Experience in NLP, image processing and/or recommendation systems
  • Hands on experience in data engineering, working with big data framework like Spark/Hadoop
  • Experience in data science for e-commerce and/or OTA

We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

#sanfrancisco #newyork #seattle #boston #washdc #sydney #melbourne #perth #paris #london #tokyo #dhaka #vienna #edinburgh #manchester #amsterdam #munich #berlin #toronto #vancouver #moscow #dublin #seoul #hcmc #singapore #ENG #IT #4

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3990121425,https://ca.linkedin.com/jobs/view/data-scientist-at-northbridge-financial-corporation-3990121425?position=5&pageNum=5&refId=QfthGV67WumUUzDsWH%2B%2BMg%3D%3D&trackingId=kErthZ09KMX1xWAgojcbbQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Northbridge Financial Corporation,"Toronto, Ontario, Canada","What it’s like to be a Northbridge Data Scientist + +The Data Science Team is a central partner to the business for Northbridge’s predictive and prescriptive capability using applied statistics, machine learning or artificial intelligence to build business solutions. + +The primary role of Data Scientist 2 is to participate in the data science lifecycle to develop and deploy analytical models. Tackle a breadth of challenges from wrangling data, finding the optimal model fit, to delivering results to our business stakeholders. + +We want your talent + +If you are great at: + + +Participate in the data science lifecycle from understanding the business problem, to data extraction, to model development, to production deployment and change management +Perform data extraction and wrangling, and conduct exploratory data analysis +Train and evaluate applied statistics and machine learning models, using open source and cloud based proprietary software +Develop deployment scripts for batch and real-time delivery of model output +Maintain deployed models by running and delivering model output and debugging scripts as needed + + +If you have: + + +Undergraduate degree in Statistics, Mathematics, Computer Science, or relevant field +2-4 years of professional experience in applied statistics and/or machine learning model development and implementation +2-4 years of professional experience in data wrangling and feature engineering, including SQL writing queries to integrate data from multiple sources +2+ years of programming experience with SQL and Python/R +Proficiency in operational procedures, workflow, and processing functions +Experience in scalable data engineering, software engineering and/or MLOps practices is an asset + + +We really mean it when we say we put you first. Here are a few ways how: + + +Hybrid work! You get to work from the office and at home 50/50, allowing you to manage both worlds with the ease and flexibility you need. +We offer competitive salaries and support your financial health through our employee share purchase plan, pension plans, RRSP, discounts on staff insurance, and more! +We help you prioritize your well-being from day one through flexible health benefits, early leave days, wellness programs, rewards, and recognition programs. +We are invested in helping you grow in your career through education assistance to complete your CIP, FCIP, CRM or other courses desired, internal mobility, Leadership training and mentoring programs. +NBFC cares about the community and supports the causes you believe in with donation matching and team volunteer days. + + +Who we are: + +We’re Northbridge Financial. We’re proud to be 100% Canadian and owned by Fairfax Financial. We serve through our Northbridge Insurance, Federated Insurance, and TruShield Insurance brands. We have a reputation for being one of Canada’s leading commercial property and casualty insurance company. Our employees are dedicated to understanding the needs of our customers and we go above and beyond to help Canadian businesses have a safer and brighter future. We’re a company of passionate people who put people first. Do you want to join a team that believes in working hard – and having fun at work – all while making a difference? Look no further than Northbridge. + +At Northbridge Financial we embrace and celebrate you and are committed to creating an inclusive workplace for all! No matter who you are or what makes you unique, we welcome you. Please let us know how we can assist or accommodate you during the selection process. +Show more ","
+ + + + + +
+
+ What it’s like to be a Northbridge Data Scientist

The Data Science Team is a central partner to the business for Northbridge’s predictive and prescriptive capability using applied statistics, machine learning or artificial intelligence to build business solutions.

The primary role of Data Scientist 2 is to participate in the data science lifecycle to develop and deploy analytical models. Tackle a breadth of challenges from wrangling data, finding the optimal model fit, to delivering results to our business stakeholders.

We want your talent

If you are great at:

  • Participate in the data science lifecycle from understanding the business problem, to data extraction, to model development, to production deployment and change management
  • Perform data extraction and wrangling, and conduct exploratory data analysis
  • Train and evaluate applied statistics and machine learning models, using open source and cloud based proprietary software
  • Develop deployment scripts for batch and real-time delivery of model output
  • Maintain deployed models by running and delivering model output and debugging scripts as needed

If you have:

  • Undergraduate degree in Statistics, Mathematics, Computer Science, or relevant field
  • 2-4 years of professional experience in applied statistics and/or machine learning model development and implementation
  • 2-4 years of professional experience in data wrangling and feature engineering, including SQL writing queries to integrate data from multiple sources
  • 2+ years of programming experience with SQL and Python/R
  • Proficiency in operational procedures, workflow, and processing functions
  • Experience in scalable data engineering, software engineering and/or MLOps practices is an asset

We really mean it when we say we put you first. Here are a few ways how:

  • Hybrid work! You get to work from the office and at home 50/50, allowing you to manage both worlds with the ease and flexibility you need.
  • We offer competitive salaries and support your financial health through our employee share purchase plan, pension plans, RRSP, discounts on staff insurance, and more!
  • We help you prioritize your well-being from day one through flexible health benefits, early leave days, wellness programs, rewards, and recognition programs.
  • We are invested in helping you grow in your career through education assistance to complete your CIP, FCIP, CRM or other courses desired, internal mobility, Leadership training and mentoring programs.
  • NBFC cares about the community and supports the causes you believe in with donation matching and team volunteer days.

Who we are:

We’re Northbridge Financial. We’re proud to be 100% Canadian and owned by Fairfax Financial. We serve through our Northbridge Insurance, Federated Insurance, and TruShield Insurance brands. We have a reputation for being one of Canada’s leading commercial property and casualty insurance company. Our employees are dedicated to understanding the needs of our customers and we go above and beyond to help Canadian businesses have a safer and brighter future. We’re a company of passionate people who put people first. Do you want to join a team that believes in working hard – and having fun at work – all while making a difference? Look no further than Northbridge.

At Northbridge Financial we embrace and celebrate you and are committed to creating an inclusive workplace for all! No matter who you are or what makes you unique, we welcome you. Please let us know how we can assist or accommodate you during the selection process. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3960419187,https://ca.linkedin.com/jobs/view/software-engineer-underwriting-at-finix-3960419187?position=8&pageNum=5&refId=QfthGV67WumUUzDsWH%2B%2BMg%3D%3D&trackingId=XBLLX4vFQCCtH8J4VSyKZQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Software Engineer, Underwriting",Finix,"Toronto, Ontario, Canada","About Us + +Move money. Make money. Finix processes billions of dollars every year for leading SaaS, marketplace, and e-commerce platforms. With one developer-friendly API, Finix helps companies accept payments, manage payouts, and onboard merchants—everything you need to enable payment processing, and grow revenue. + +Finix has raised over $100M from American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Lightspeed Venture Partners, Sequoia Capital, Visa, and others. + +About the Role: + +When Finix services fail, human beings are not getting their money they need to survive. There is no room for failure or inaccuracy. + +You would be joining the team delivering the latest exciting Finix initiative: Underwriting. Underwriting is the process of determining which merchants are permitted to use the Finix platform. + +The Underwriting Team's charter is to deliver an underwriting system that is an unbiased, automated merchant underwriting process, minimizes the opportunity for fraudulent merchants, and is easy for customers, the Finix support team, and the Finix customer success team to use. + +You Will: + + +Create quality code and associated tests that eliminate stress in other teams and our customers +Ensure that the merchant underwriting process is unbiased +Understand and demonstrate the importance of handling sensitive financial data about fellow humans +An eagerness to actively improve the product and culture +Compassionately assist other team members to improve and be open about asking for assistance + + +You Are: + + +Comfortable continuously delivering code, infrastructure, and tests throughout the product development lifecycle. +Able to lead proposals, design, and architect big systems through research into use cases +Obsessed with finding edge cases, understanding requirements, and design implications +Proactive in monitoring running systems and troubleshooting production issues +Committed to communicating and working cross-functionally with other teams to ensure the delivery of quality code and features + + +You Have: + + +Have 4+ years of experience and several life-cycles of designing and building systems using Java +An appreciation for code, maintainability, testability, and clarity +A depth of experience along with a strong sense of what is readable, maintainable code +Good communication skills with non-technical fellow Finixians and customers + + +Finix is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class. + +Role: Software Engineer IV + +Level: IC4 + +Location: San Francisco, CA + +Base Salary Range: $160,000/yr to $210,000/yr + equity + benefits + +Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job related skills, experience, and relevant education or training. +Show more ","
+ + + + + +
+
+ About Us

Move money. Make money. Finix processes billions of dollars every year for leading SaaS, marketplace, and e-commerce platforms. With one developer-friendly API, Finix helps companies accept payments, manage payouts, and onboard merchants—everything you need to enable payment processing, and grow revenue.

Finix has raised over $100M from American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Lightspeed Venture Partners, Sequoia Capital, Visa, and others.

About the Role:

When Finix services fail, human beings are not getting their money they need to survive. There is no room for failure or inaccuracy.

You would be joining the team delivering the latest exciting Finix initiative: Underwriting. Underwriting is the process of determining which merchants are permitted to use the Finix platform.

The Underwriting Team's charter is to deliver an underwriting system that is an unbiased, automated merchant underwriting process, minimizes the opportunity for fraudulent merchants, and is easy for customers, the Finix support team, and the Finix customer success team to use.

You Will:

  • Create quality code and associated tests that eliminate stress in other teams and our customers
  • Ensure that the merchant underwriting process is unbiased
  • Understand and demonstrate the importance of handling sensitive financial data about fellow humans
  • An eagerness to actively improve the product and culture
  • Compassionately assist other team members to improve and be open about asking for assistance

You Are:

  • Comfortable continuously delivering code, infrastructure, and tests throughout the product development lifecycle.
  • Able to lead proposals, design, and architect big systems through research into use cases
  • Obsessed with finding edge cases, understanding requirements, and design implications
  • Proactive in monitoring running systems and troubleshooting production issues
  • Committed to communicating and working cross-functionally with other teams to ensure the delivery of quality code and features

You Have:

  • Have 4+ years of experience and several life-cycles of designing and building systems using Java
  • An appreciation for code, maintainability, testability, and clarity
  • A depth of experience along with a strong sense of what is readable, maintainable code
  • Good communication skills with non-technical fellow Finixians and customers

Finix is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.

Role: Software Engineer IV

Level: IC4

Location: San Francisco, CA

Base Salary Range: $160,000/yr to $210,000/yr + equity + benefits

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job related skills, experience, and relevant education or training. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-18,[] +3988731995,https://ca.linkedin.com/jobs/view/python-developer-at-collabera-3988731995?position=9&pageNum=5&refId=QfthGV67WumUUzDsWH%2B%2BMg%3D%3D&trackingId=lRsrvrzF3pUZDuBIlDLP%2Bw%3D%3D&trk=public_jobs_jserp-result_search-card,Python Developer,Collabera,"Toronto, Ontario, Canada","Day-to-Day Responsibilities: + +Python Development: Intermediate to Senior level experience (4-5 years) +Backend Development: Strong focus on server-side development +Frontend Familiarity: Basic knowledge of Angular or JavaScript (a plus) +Programming Proficiency: Object-oriented programming expertise +Framework Usage: Experience with Flask framework +Industry Knowledge: Financial background, preferably in investment banking and regulatory reporting +Communication: Excellent communication skills +Workload Distribution: 70% backend, 30% frontend development +Independence: Ability to work independently +Database Experience: Proficiency with object databases like MongoDB or NoSQL +Collaboration: Comfortable working across different time zones and with cross-functional teams + + + + +Nice to Have: + +Full-Stack Capabilities: Full-stack development experience with a backend focus +Industry Specialization: Deep knowledge of regulatory reporting +Frontend Skills: Proficiency in Angular or JavaScript +Architectural Understanding: Experience with microservices architecture +Concurrency Handling: Multithreading skills +Design Principles: Strong understanding of design patterns +Testing Proficiency: Ability to write unit tests in Python +Show more ","
+ + + + + +
+
+

Day-to-Day Responsibilities:

  • Python Development: Intermediate to Senior level experience (4-5 years)
  • Backend Development: Strong focus on server-side development
  • Frontend Familiarity: Basic knowledge of Angular or JavaScript (a plus)
  • Programming Proficiency: Object-oriented programming expertise
  • Framework Usage: Experience with Flask framework
  • Industry Knowledge: Financial background, preferably in investment banking and regulatory reporting
  • Communication: Excellent communication skills
  • Workload Distribution: 70% backend, 30% frontend development
  • Independence: Ability to work independently
  • Database Experience: Proficiency with object databases like MongoDB or NoSQL
  • Collaboration: Comfortable working across different time zones and with cross-functional teams


Nice to Have:

  • Full-Stack Capabilities: Full-stack development experience with a backend focus
  • Industry Specialization: Deep knowledge of regulatory reporting
  • Frontend Skills: Proficiency in Angular or JavaScript
  • Architectural Understanding: Experience with microservices architecture
  • Concurrency Handling: Multithreading skills
  • Design Principles: Strong understanding of design patterns
  • Testing Proficiency: Ability to write unit tests in Python
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3994097574,https://ca.linkedin.com/jobs/view/associate-machine-learning-developer-cohort-9-at-altaml-3994097574?position=10&pageNum=5&refId=QfthGV67WumUUzDsWH%2B%2BMg%3D%3D&trackingId=yVc8cfg7I2oq3LhAXDDMHA%3D%3D&trk=public_jobs_jserp-result_search-card,Associate Machine Learning Developer (Cohort 9),AltaML,"Toronto, Ontario, Canada","About The The GovLab.ai +We transform the way you think about applied AI. Teams are structured around projects for the public sector, guided by the Project Delivery Manager, Product Owner, and Senior machine learning developers, to provide working models to support informed strategic decision-making around the use of key AI technologies in the public sector. + +This would be a 4 month paid contract starting January 2025 and ending in April 2025. Additionally, this opportunity may also be extended to an 8 or 12-month term; please indicate in your application if these options are of interest to you. + +Job Role + +As an Associate Machine Learning Developer, you will have a chance to work on public sector ML projects and deliver real solutions to our Public Sector Partners including Service Alberta, other departments, and even other levels of government. GovLab AI's mission is to set a global example of how to transform the public sector through applied AI, and is designed to encourage the growth of machine learning and AI skill sets that are in high demand across Alberta and around the world. + +Our program experience is unique and designed to give you hands on experience to prepare you for professional success. During the 4 month period you will be placed on a team to work on specific use case(s) identified by our Public Sector Partners. You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will also be given resources and mentorship to help with your growth and career advancement. The teams will be led by the Project Delivery Manager utilizing AltaML methodology to create working models for the viable use case(s), and help guide the teams to make recommendations on how best to implement the solution with our Partners. + +Our ultimate goal is to set you up for success and have you hired in the future after your internship! + +Office as a Resource & Participating Universities: This opportunity is funded in partnership with Mitacs and therefore requires candidates to meet all eligibility criteria before being approved for funding. This role is currently open to anyone that is currently enrolled at the U of Alberta, U of Calgary (Masters Only), Mount Royal U, U Waterloo, U of Toronto, or Queens U. While we have offices in Edmonton, Calgary, Toronto, and Waterloo we use our offices as a resource. Please reach out if you have questions regarding your eligibility. + +Application Process: + +Step 1: Apply + +Step 2: You will be notified prior to the application deadline if you are moving to the next stage (via email correspondence) + +Step 3: Online technical assessment (48 hour timed assessment) + +Step 4: 30 minute panel interview + +Step 5: Background checks and offer! + +Step 6: Welcome to GovLab! + +APPLICATION DEADLINE: TBD + +What You'll Do: + + + +Participate in team planning sessions and educational presentations +Review the data to understand its overall scope and structure +Identifying the right metric to measure the success of the model and project +Work in teams to pre-process the data for analysis and model development +Uncover trends, insights, and key features to help guide where ML solutions can be applied +Develop models around the available data and suggested set of problems +For viable use cases develop proof of concept working models +Suggest and explore novel solutions to a problem and detailed recommendations for how to integrate the models in business +Communicating and presenting your teams work to AltaML and Public Sector Partners +Get familiarity with various data processing tools and exposure to AI/ML algorithms +Independently researching and connecting with your cohort to gain domain knowledge and learn state-of-the-art techniques +You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will be given resources and mentorship to help with your growth and career advancement. + + + + +What You Bring: + + + +Minimum Requirements: +Currently enrolled in a Post secondary degree program at U of Alberta, U of Calgary (Masters Only), U Waterloo, or U of Toronto +General knowledge of and experience developing in Python and data science libraries/packages such as pandas, scikit-learn, matplotlib +Understanding of Machine Learning and software development concepts +Must be able to work 40 hours per week during the internship +Nice to have: +Exposure to version control/Git +Experience with a cloud platform such as Azure, AWS or GCP +Ability to work independently and within a team environment +Well-developed communication skills, with the ability to engage in client meetings and deliver professional presentations + + + + +First Nations Acknowledgment + +As this role is an opportunity based in Edmonton, Alberta - AltaML would like to acknowledge that we are on the traditional lands, referred to as Treaty 6 Territory and that the City of Edmonton and all the people here are beneficiaries of this peace and friendship treaty. Treaty 6 encompasses the traditional territories of numerous western Canadian First Nations, including Cree, Dene (DEN–Ē), Stoney Nakota Sioux, Saulteaux (SO-TO), and Ojibwe (OJIB-WĒ). AltaML is dedicated to ensuring that the spirit of Treaty 6 is honoured and respected. + +Equal Opportunities + +AltaML is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know. +Show more ","
+ + + + + +
+
+ About The The GovLab.ai
We transform the way you think about applied AI. Teams are structured around projects for the public sector, guided by the Project Delivery Manager, Product Owner, and Senior machine learning developers, to provide working models to support informed strategic decision-making around the use of key AI technologies in the public sector.

This would be a 4 month paid contract starting January 2025 and ending in April 2025. Additionally, this opportunity may also be extended to an 8 or 12-month term; please indicate in your application if these options are of interest to you.

Job Role

As an Associate Machine Learning Developer, you will have a chance to work on public sector ML projects and deliver real solutions to our Public Sector Partners including Service Alberta, other departments, and even other levels of government. GovLab AI's mission is to set a global example of how to transform the public sector through applied AI, and is designed to encourage the growth of machine learning and AI skill sets that are in high demand across Alberta and around the world.

Our program experience is unique and designed to give you hands on experience to prepare you for professional success. During the 4 month period you will be placed on a team to work on specific use case(s) identified by our Public Sector Partners. You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will also be given resources and mentorship to help with your growth and career advancement. The teams will be led by the Project Delivery Manager utilizing AltaML methodology to create working models for the viable use case(s), and help guide the teams to make recommendations on how best to implement the solution with our Partners.

Our ultimate goal is to set you up for success and have you hired in the future after your internship!

Office as a Resource & Participating Universities: This opportunity is funded in partnership with Mitacs and therefore requires candidates to meet all eligibility criteria before being approved for funding. This role is currently open to anyone that is currently enrolled at the U of Alberta, U of Calgary (Masters Only), Mount Royal U, U Waterloo, U of Toronto, or Queens U. While we have offices in Edmonton, Calgary, Toronto, and Waterloo we use our offices as a resource. Please reach out if you have questions regarding your eligibility.

Application Process:

Step 1: Apply

Step 2: You will be notified prior to the application deadline if you are moving to the next stage (via email correspondence)

Step 3: Online technical assessment (48 hour timed assessment)

Step 4: 30 minute panel interview

Step 5: Background checks and offer!

Step 6: Welcome to GovLab!

APPLICATION DEADLINE: TBD

What You'll Do:


  • Participate in team planning sessions and educational presentations
  • Review the data to understand its overall scope and structure
  • Identifying the right metric to measure the success of the model and project
  • Work in teams to pre-process the data for analysis and model development
  • Uncover trends, insights, and key features to help guide where ML solutions can be applied
  • Develop models around the available data and suggested set of problems
  • For viable use cases develop proof of concept working models
  • Suggest and explore novel solutions to a problem and detailed recommendations for how to integrate the models in business
  • Communicating and presenting your teams work to AltaML and Public Sector Partners
  • Get familiarity with various data processing tools and exposure to AI/ML algorithms
  • Independently researching and connecting with your cohort to gain domain knowledge and learn state-of-the-art techniques
  • You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will be given resources and mentorship to help with your growth and career advancement.



What You Bring:


  • Minimum Requirements:
  • Currently enrolled in a Post secondary degree program at U of Alberta, U of Calgary (Masters Only), U Waterloo, or U of Toronto
  • General knowledge of and experience developing in Python and data science libraries/packages such as pandas, scikit-learn, matplotlib
  • Understanding of Machine Learning and software development concepts
  • Must be able to work 40 hours per week during the internship
  • Nice to have:
  • Exposure to version control/Git
  • Experience with a cloud platform such as Azure, AWS or GCP
  • Ability to work independently and within a team environment
  • Well-developed communication skills, with the ability to engage in client meetings and deliver professional presentations



First Nations Acknowledgment

As this role is an opportunity based in Edmonton, Alberta - AltaML would like to acknowledge that we are on the traditional lands, referred to as Treaty 6 Territory and that the City of Edmonton and all the people here are beneficiaries of this peace and friendship treaty. Treaty 6 encompasses the traditional territories of numerous western Canadian First Nations, including Cree, Dene (DEN–Ē), Stoney Nakota Sioux, Saulteaux (SO-TO), and Ojibwe (OJIB-WĒ). AltaML is dedicated to ensuring that the spirit of Treaty 6 is honoured and respected.

Equal Opportunities

AltaML is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know. +
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",2024-07-22,[] +3985941720,https://ca.linkedin.com/jobs/view/senior-data-engineer-data-science-at-the-globe-and-mail-3985941720?position=1&pageNum=7&refId=GJha5hzipxj1MqtPJXym%2Bg%3D%3D&trackingId=ytaKuCCDm9AXRCM%2BOhZTaA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Engineer (Data Science),The Globe and Mail,"Toronto, Ontario, Canada","Company Overview + +The Globe and Mail is a national icon and one of Canada's most recognized media brands. We proudly serve as a trusted destination for Canadians seeking the highest caliber of journalism, and we've garnered international acclaim for our data visualization, design, and creative storytelling. + +We are committed to fostering diversity and inclusivity by reflecting all Canadians in both the stories that we tell and the composition of our workforce. We are proud partners with organizations like Indigenous Works, Pride at Work, the Canadian Centre for Diversity and Inclusion, and we are a signatory of the BlackNorth Initiative. Recognizing the importance of work-life balance, we offer flexible work arrangements and support programs. We also invest in our employees' growth through training and mentorship opportunities, enabling you to expand your skills and embrace new challenges. + +No matter your position at The Globe, you'll be an integral part of an organization dedicated to making a positive difference in Canada. Join us. + +Position Overview + +As a Senior Data Engineer at the Globe and Mail, you will drive the transformation and optimization of our data ecosystem to enhance innovation and strategic decision-making. You will be a key player in architecting scalable and efficient data pipelines that support critical business functions, including editorial, subscription management, and advertising. + +Working closely with our data science and analytics teams, you will integrate advanced analytics and machine learning models into our infrastructure, unlocking actionable insights from our governed data. Your role will ensure that our systems not only address current operational needs but also align with our long-term business objectives, enhancing predictive capabilities and securing a competitive edge in the digital publishing landscape. + +Key Responsibilities + + +Data Infrastructure Mastery: Leverage Snowflake, AWS, and Databricks to design and implement robust data pipelines that seamlessly integrate across diverse environments. +Problem-Solving Excellence: Collaborate with data scientists, ML engineers, analysts, and business stakeholders to devise elegant solutions for complex data challenges. +Data Stewardship: Implement encryption, access controls, and compliance measures to safeguard data. Contribute to defining the organization's Data Governance framework and champion data democracy and literacy. +Performance Optimization: Fine-tune queries, indexing, and ETL processes to transform raw data into actionable insights with maximum efficiency. +AI Enablement: Manage, prepare and structure data to support ingestion by machine learning models, enabling our AI initiatives. +Data Champion: Promote a culture of continuous improvement, automation, and efficiency across data teams. Mentor team members and drive knowledge sharing throughout the organization. + + +Qualifications + + +Data Architecture: Proven expertise in designing and implementing scalable data architectures, with a strong focus on data lakes and data warehouses, particularly using Snowflake and Redshift. +ETL and Data Pipelines: Proven experience in building and optimizing ETL pipelines using tools like Airflow, NiFi, or custom Python scripts. Ensure data workflows are reliable, scalable, and performant. +Cloud Platforms: Hands-on experience with cloud services such as AWS (S3, EC2, EMR), Azure (Blob Storage, Databricks), or Google Cloud (BigQuery, Dataflow). Utilize cloud-native services for data storage, processing, and analytics. +Data Governance: Deep knowledge of data governance frameworks and best practices. Experience in implementing data security, privacy, and regulatory compliance measures (e.g., Quebec Bill 64) using DataOps principles. +Programming and Optimization: Advanced proficiency in Python for scripting and data analysis, SQL for querying and optimization, and optionally Scala or Java for big data processing frameworks like Spark. +Collaboration and Communication: Strong interpersonal and communication skills to collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to translate complex technical concepts into clear business insights and requirements. + + +Why Choose The Globe + +The Globe’s mission is to deliver essential content – news, information, analysis and insights – for aspiring individuals and strong communities. The Globe is committed to providing a respectful and inclusive workplace that upholds our values of integrity, collaboration, innovation and accountability. + +As Canada’s most respected media brand The Globe is dedicated to making a difference to Canada and you can make a difference by working with us. + +We Offer + + +Competitive compensation to ensure we hire, retain and reward team members +Hybrid work environment that promotes work-life balance +Generous vacation and flexible work arrangements +Parental leave top-up +Competitive health and dental benefits +Defined Benefit pension plan +Annual wellness subsidy +On-site chiropractor and registered massage therapist +Employee and family assistance program +Free digital subscription to globeandmail.com and 40% off other Globe products +Education assistance for external training courses + + +Supporting Your Growth + + +We are committed to creating equitable opportunities for all employees, to enable everyone to reach their full potential. This commitment is embedded in our strategic plan and core values. +There are lateral and upward advancement opportunities for rewarding and developing careers. +We believe in mentorship and collaborative peer-to-peer learning and have both formal and informal programs in place to encourage knowledge-sharing. +We support continuing education and provide both internal and external opportunities for training and development. + + +Vaccination Policy + +All offers of employment with The Globe and Mail are conditional upon the candidate being Fully Vaccinated. To be Fully Vaccinated is defined as someone who has received the full series of a vaccine or a combination of vaccines accepted by the Government of Canada (currently Pfizer, Moderna, AstraZeneca, Janssen) and has received the last dose at least 14 days prior to their start date. To prove they are Fully Vaccinated, all new hires will be required to provide evidence by emailing a copy of their vaccine dose administration receipt(s) to Human Resources prior to their start date. Those seeking exemption based on one or more of the protected grounds in the Human Rights Code will need to provide their request for accommodation to Human Resources for approval. If the accommodation request is not approved and the candidate is not Fully Vaccinated, any offer of employment will be revoked. + +THE GLOBE AND MAIL IS DEDICATED TO DIVERSITY AND INCLUSION IN THE WORKPLACE + +The Globe and Mail is committed to fostering an inclusive, accessible work environment, where all employees feel valued, respected and supported. We believe this strengthens our business and our journalism. We welcome and encourage applications from individuals from all groups, regardless of race, ethnicity, culture, gender, sexual orientation, religion, socio-economic status, age, and physical ability. As required by the Federal Contractors Program, The Globe also tracks the proportion of staff in the four Employment Equity categories (Women, Aboriginal Peoples, Persons with Disabilities, and Members of Visible Minorities) to ensure we are reflecting the areas in which we work. + +The Globe and Mail offers accommodation for applicants with disabilities as part of its recruitment process. If you are contacted to arrange for an interview, please advise us if you require an accommodation. +Show more ","
+ + + + + +
+
+ Company Overview

The Globe and Mail is a national icon and one of Canada's most recognized media brands. We proudly serve as a trusted destination for Canadians seeking the highest caliber of journalism, and we've garnered international acclaim for our data visualization, design, and creative storytelling.

We are committed to fostering diversity and inclusivity by reflecting all Canadians in both the stories that we tell and the composition of our workforce. We are proud partners with organizations like Indigenous Works, Pride at Work, the Canadian Centre for Diversity and Inclusion, and we are a signatory of the BlackNorth Initiative. Recognizing the importance of work-life balance, we offer flexible work arrangements and support programs. We also invest in our employees' growth through training and mentorship opportunities, enabling you to expand your skills and embrace new challenges.

No matter your position at The Globe, you'll be an integral part of an organization dedicated to making a positive difference in Canada. Join us.

Position Overview

As a Senior Data Engineer at the Globe and Mail, you will drive the transformation and optimization of our data ecosystem to enhance innovation and strategic decision-making. You will be a key player in architecting scalable and efficient data pipelines that support critical business functions, including editorial, subscription management, and advertising.

Working closely with our data science and analytics teams, you will integrate advanced analytics and machine learning models into our infrastructure, unlocking actionable insights from our governed data. Your role will ensure that our systems not only address current operational needs but also align with our long-term business objectives, enhancing predictive capabilities and securing a competitive edge in the digital publishing landscape.

Key Responsibilities

  • Data Infrastructure Mastery: Leverage Snowflake, AWS, and Databricks to design and implement robust data pipelines that seamlessly integrate across diverse environments.
  • Problem-Solving Excellence: Collaborate with data scientists, ML engineers, analysts, and business stakeholders to devise elegant solutions for complex data challenges.
  • Data Stewardship: Implement encryption, access controls, and compliance measures to safeguard data. Contribute to defining the organization's Data Governance framework and champion data democracy and literacy.
  • Performance Optimization: Fine-tune queries, indexing, and ETL processes to transform raw data into actionable insights with maximum efficiency.
  • AI Enablement: Manage, prepare and structure data to support ingestion by machine learning models, enabling our AI initiatives.
  • Data Champion: Promote a culture of continuous improvement, automation, and efficiency across data teams. Mentor team members and drive knowledge sharing throughout the organization.

Qualifications

  • Data Architecture: Proven expertise in designing and implementing scalable data architectures, with a strong focus on data lakes and data warehouses, particularly using Snowflake and Redshift.
  • ETL and Data Pipelines: Proven experience in building and optimizing ETL pipelines using tools like Airflow, NiFi, or custom Python scripts. Ensure data workflows are reliable, scalable, and performant.
  • Cloud Platforms: Hands-on experience with cloud services such as AWS (S3, EC2, EMR), Azure (Blob Storage, Databricks), or Google Cloud (BigQuery, Dataflow). Utilize cloud-native services for data storage, processing, and analytics.
  • Data Governance: Deep knowledge of data governance frameworks and best practices. Experience in implementing data security, privacy, and regulatory compliance measures (e.g., Quebec Bill 64) using DataOps principles.
  • Programming and Optimization: Advanced proficiency in Python for scripting and data analysis, SQL for querying and optimization, and optionally Scala or Java for big data processing frameworks like Spark.
  • Collaboration and Communication: Strong interpersonal and communication skills to collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to translate complex technical concepts into clear business insights and requirements.

Why Choose The Globe

The Globe’s mission is to deliver essential content – news, information, analysis and insights – for aspiring individuals and strong communities. The Globe is committed to providing a respectful and inclusive workplace that upholds our values of integrity, collaboration, innovation and accountability.

As Canada’s most respected media brand The Globe is dedicated to making a difference to Canada and you can make a difference by working with us.

We Offer

  • Competitive compensation to ensure we hire, retain and reward team members
  • Hybrid work environment that promotes work-life balance
  • Generous vacation and flexible work arrangements
  • Parental leave top-up
  • Competitive health and dental benefits
  • Defined Benefit pension plan
  • Annual wellness subsidy
  • On-site chiropractor and registered massage therapist
  • Employee and family assistance program
  • Free digital subscription to globeandmail.com and 40% off other Globe products
  • Education assistance for external training courses

Supporting Your Growth

  • We are committed to creating equitable opportunities for all employees, to enable everyone to reach their full potential. This commitment is embedded in our strategic plan and core values.
  • There are lateral and upward advancement opportunities for rewarding and developing careers.
  • We believe in mentorship and collaborative peer-to-peer learning and have both formal and informal programs in place to encourage knowledge-sharing.
  • We support continuing education and provide both internal and external opportunities for training and development.

Vaccination Policy

All offers of employment with The Globe and Mail are conditional upon the candidate being Fully Vaccinated. To be Fully Vaccinated is defined as someone who has received the full series of a vaccine or a combination of vaccines accepted by the Government of Canada (currently Pfizer, Moderna, AstraZeneca, Janssen) and has received the last dose at least 14 days prior to their start date. To prove they are Fully Vaccinated, all new hires will be required to provide evidence by emailing a copy of their vaccine dose administration receipt(s) to Human Resources prior to their start date. Those seeking exemption based on one or more of the protected grounds in the Human Rights Code will need to provide their request for accommodation to Human Resources for approval. If the accommodation request is not approved and the candidate is not Fully Vaccinated, any offer of employment will be revoked.

THE GLOBE AND MAIL IS DEDICATED TO DIVERSITY AND INCLUSION IN THE WORKPLACE

The Globe and Mail is committed to fostering an inclusive, accessible work environment, where all employees feel valued, respected and supported. We believe this strengthens our business and our journalism. We welcome and encourage applications from individuals from all groups, regardless of race, ethnicity, culture, gender, sexual orientation, religion, socio-economic status, age, and physical ability. As required by the Federal Contractors Program, The Globe also tracks the proportion of staff in the four Employment Equity categories (Women, Aboriginal Peoples, Persons with Disabilities, and Members of Visible Minorities) to ensure we are reflecting the areas in which we work.

The Globe and Mail offers accommodation for applicants with disabilities as part of its recruitment process. If you are contacted to arrange for an interview, please advise us if you require an accommodation. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-27,[] +3980364337,https://ca.linkedin.com/jobs/view/lead-data-scientist-personalization-analytics-at-movable-ink-3980364337?position=4&pageNum=7&refId=GJha5hzipxj1MqtPJXym%2Bg%3D%3D&trackingId=P49u6nReAaXU67v38XEIXA%3D%3D&trk=public_jobs_jserp-result_search-card,"Lead Data Scientist, Personalization Analytics",Movable Ink,"Toronto, Ontario, Canada","Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan. + +As a Lead Data Scientist, you will be part of our Applied AI and Machine Learning team. You will own the work with our client-facing teams on testing and optimizing our DaVinci Personalization product to realize the best outcomes for our clients and for Movable Ink. This includes running a/b tests and conducting deep dives into data to identify opportunities for improving the product and how we deploy it. You will also work on driving improvements to our working model and process, driving training and technical investments for how to make more of our analytics self-serve. This is an opportunity to become Movable Ink’s resident expert for how we run experiments and how best to operate our modeling solutions to maximize their real-world impact. + +Responsibilities: + + +Run a/b tests for our DaVinci personalization product and own the reporting for their business outcomes - you will serve as our resident expert for a/b testing, work with advanced techniques for variance reduction, and influence metrics and test success criteria +Determine and conduct deep dives as necessary to understand the behavior of our recommender models and to identify opportunities for improving our system – this includes both correlational and causal analysis +Help customer-facing teams and our clients resolve issues that come up during tests and answer questions about how to optimize setups - you will own a ticket queue and the process for resolving issues, ensuring resolution happens within an SLA +Help determine BI tooling needs to make testing, reporting, and analytics lower lift, and partner with engineers and client-facing teams to make improvements +Help design documentation and other materials for educating adjacent teams on our recommender system behavior and self-serve insights generation + + + +Qualifications: + + +5+ years of industry experience owning reporting and analytics required to operate a machine-learning system +Solid foundations in statistics and online controlled experiments (a/b testing), including advanced measurement techniques such as Causal Inference or model-based variance reduction (e.g. ANCOVA, CUPED) +High comfort level with SQL, reporting tools such as Looker/Google Sheets, and some programming skill (e.g. in Python) to be able to reason about logic in code +Intuitive understanding of machine learning models and systems +You enjoy helping others find pragmatic solutions to the daily challenges they face and have the ability to abstract from these challenges and identify process, training, and technical improvements we can make +Ability to collaborate and drive projects that involve multiple teams +A desire to always be learning and contributing to a collaborative environment + + + +Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger. + +We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer. +Show more ","
+ + + + + +
+
+ Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

As a Lead Data Scientist, you will be part of our Applied AI and Machine Learning team. You will own the work with our client-facing teams on testing and optimizing our DaVinci Personalization product to realize the best outcomes for our clients and for Movable Ink. This includes running a/b tests and conducting deep dives into data to identify opportunities for improving the product and how we deploy it. You will also work on driving improvements to our working model and process, driving training and technical investments for how to make more of our analytics self-serve. This is an opportunity to become Movable Ink’s resident expert for how we run experiments and how best to operate our modeling solutions to maximize their real-world impact.

Responsibilities:

  • Run a/b tests for our DaVinci personalization product and own the reporting for their business outcomes - you will serve as our resident expert for a/b testing, work with advanced techniques for variance reduction, and influence metrics and test success criteria
  • Determine and conduct deep dives as necessary to understand the behavior of our recommender models and to identify opportunities for improving our system – this includes both correlational and causal analysis
  • Help customer-facing teams and our clients resolve issues that come up during tests and answer questions about how to optimize setups - you will own a ticket queue and the process for resolving issues, ensuring resolution happens within an SLA
  • Help determine BI tooling needs to make testing, reporting, and analytics lower lift, and partner with engineers and client-facing teams to make improvements
  • Help design documentation and other materials for educating adjacent teams on our recommender system behavior and self-serve insights generation


Qualifications:

  • 5+ years of industry experience owning reporting and analytics required to operate a machine-learning system
  • Solid foundations in statistics and online controlled experiments (a/b testing), including advanced measurement techniques such as Causal Inference or model-based variance reduction (e.g. ANCOVA, CUPED)
  • High comfort level with SQL, reporting tools such as Looker/Google Sheets, and some programming skill (e.g. in Python) to be able to reason about logic in code
  • Intuitive understanding of machine learning models and systems
  • You enjoy helping others find pragmatic solutions to the daily challenges they face and have the ability to abstract from these challenges and identify process, training, and technical improvements we can make
  • Ability to collaborate and drive projects that involve multiple teams
  • A desire to always be learning and contributing to a collaborative environment


Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3980777075,https://ca.linkedin.com/jobs/view/senior-machine-learning-engineer-at-warner-music-group-3980777075?position=6&pageNum=7&refId=GJha5hzipxj1MqtPJXym%2Bg%3D%3D&trackingId=gLlPeBkRme%2BMQFWxrDAtZg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer,Warner Music Group,"Greater Toronto Area, Canada","At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we know that each talent makes our collective bolder and brighter. + + + + +Technology is one of the most important parts of our business. Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success. The engineering team at Warner Music Group makes all of it a reality. + + + + +At Warner Music Group, we are building cutting edge inference systems to better understand the landscape of music consumption toward the goal of providing actionable insights that drive business growth. We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts. Our ideal candidate will have strong ML and Data Science skills along with experience and a passion for building efficient, robust software. + + + + +Responsibilities: + +Develop a strong understanding of the business problems we are trying to solve. +Together with Data Scientists and engineering and product leadership, identify and define the ML systems we want to build - and then design, implement, and launch those systems. +Contribute to model building, evaluation, and launch. +Ensure that we are able to run modeling experiments and launches with maximal efficiency, quality, reliability, and repeatability in a large-scale environment with > 2TB of incoming data per day and a total corpus in excess of 20PB. +Mentor more junior MLEs and Data Scientists. +Work closely with cross-functional partners to define project objectives and deliverables. + + + + +Requirements: + +7+ years of full-time hands-on experience building scaled ML systems, or equivalent. +Excellent coding and system design skills. Strong practical ML knowledge, working knowledge of ML theory and how it influences modeling choices. +High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment +Ability to collaborate closely with Data Scientists, Software Engineers, and Product Manager. +Strong communication skills and ability to influence roadmaps and ML strategy. +Experience with cloud computing services or platforms (preferably AWS) +Experience with both Snowflake and Databricks is a plus +Bachelor’s Degree or above in a quantitative field + + + + +About us: + + + + +As the home to 300 Elektra, Asylum, Atlantic, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalogue of more than one million copyrights worldwide. We’re the home to WMX – the next generation services division that connects artists with fans and amplifies brands in creative, immersive, and engaging ways – and Alternative Distribution Alliance (ADA) – the ground-breaking global distribution company for independent artists and labels. + +Together, we are Warner Music Group: Music With Vision & Voice. + + + + +WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other characteristic protected by applicable federal, state or local law. + + + + +Copyright © 2023 Warner Music Inc. + + + + +Love this job and want to apply? + + + + +Click the “Apply” link at the top of the page, or apply directly with your LinkedIn. Applying with LinkedIn will import all of the information you put in your profile, but will still allow you to upload a resume and cover letter. + + + + +Don’t be discouraged if you don’t hear from us right away. We’re taking our time to review all resumes, and to find the best people for WMG. + + + + +Thanks for your interest in working for WMG. We love it here, and think you will, too. + + + + +Show more ","
+ + + + + +
+
+

At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we know that each talent makes our collective bolder and brighter.


Technology is one of the most important parts of our business. Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success. The engineering team at Warner Music Group makes all of it a reality.


At Warner Music Group, we are building cutting edge inference systems to better understand the landscape of music consumption toward the goal of providing actionable insights that drive business growth. We are hiring talented Machine Learning Engineers to collaborate with our Data Science and Data Platform teams in order to build scalable Machine Learning systems that enable rapid iteration, experimentation, and continual improvement in our modeling efforts. Our ideal candidate will have strong ML and Data Science skills along with experience and a passion for building efficient, robust software.


Responsibilities:

  • Develop a strong understanding of the business problems we are trying to solve.
  • Together with Data Scientists and engineering and product leadership, identify and define the ML systems we want to build - and then design, implement, and launch those systems.
  • Contribute to model building, evaluation, and launch.
  • Ensure that we are able to run modeling experiments and launches with maximal efficiency, quality, reliability, and repeatability in a large-scale environment with > 2TB of incoming data per day and a total corpus in excess of 20PB.
  • Mentor more junior MLEs and Data Scientists.
  • Work closely with cross-functional partners to define project objectives and deliverables.


Requirements:

  • 7+ years of full-time hands-on experience building scaled ML systems, or equivalent.
  • Excellent coding and system design skills. Strong practical ML knowledge, working knowledge of ML theory and how it influences modeling choices.
  • High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment
  • Ability to collaborate closely with Data Scientists, Software Engineers, and Product Manager.
  • Strong communication skills and ability to influence roadmaps and ML strategy.
  • Experience with cloud computing services or platforms (preferably AWS)
  • Experience with both Snowflake and Databricks is a plus
  • Bachelor’s Degree or above in a quantitative field


About us:


As the home to 300 Elektra, Asylum, Atlantic, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalogue of more than one million copyrights worldwide. We’re the home to WMX – the next generation services division that connects artists with fans and amplifies brands in creative, immersive, and engaging ways – and Alternative Distribution Alliance (ADA) – the ground-breaking global distribution company for independent artists and labels.

Together, we are Warner Music Group: Music With Vision & Voice.


WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other characteristic protected by applicable federal, state or local law.


Copyright © 2023 Warner Music Inc.


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",2024-07-30,[] +3992582628,https://ca.linkedin.com/jobs/view/senior-machine-learning-optimization-engineer-at-index-exchange-3992582628?position=7&pageNum=7&refId=GJha5hzipxj1MqtPJXym%2Bg%3D%3D&trackingId=I%2FkthoSSH%2BlS3JI%2B7kHW6w%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning & Optimization Engineer,Index Exchange,"Toronto, Ontario, Canada","We shaped the earliest forms of ad tech, and we’re looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that’s where the technical skills of our team make a real difference. + +Our exchange handles over 350 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change. + +What’s it like to work at Index? + +We have more than 550 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers. + +Index is an exciting and fast-paced place to work. We’re built on our values of change, support, learning and teaching, trust, and intention. We pride ourselves on our independence and openness, not only in our technology, but in our teams, too. Our diverse and inclusive culture celebrates how we can leverage our unique differences to help drive Index forward. + +Our culture of success is truly supportive and collaborative. In working together across our teams, we’re continually investing in the people and technology to solve the industry’s most complex problems. As we extend the promise of ad tech to every channel, we’re looking for talented engineers to help advance Index, and the industry, forward. + +Are you ready to join the programmatic evolution? + +Index Exchange funds the open web. Content and journalism across the internet are funded through advertising, and we are the engine that helps to make that happen transparently, safely and efficiently. Handling hundreds of billions of auctions per day within milliseconds requires an intense understanding of the exchange and the ecosystem that we live in. + +Our business is growing significantly every year and is poised to grow even faster. Our people and our platforms are the foundation and enabler of that growth. We are significantly expanding our technology teams, and are looking for technologists with a passion for high performance software development, and a drive to deliver software products and platforms that enable and empower industries at a global scale. + +About The Role + +We’re looking for a Senior Machine Learning & Optimization Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same. + +Index’s scale spans the globe, our transactions happen 24x7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange. In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business. + +What We Are Looking For + + +Design and implement enterprise-scale MLOps systems and platforms, setting standards for high-performance ML products. +Productionalize and support scalable and efficient Machine Learning models and solutions. +Refine and contribute to advanced data management strategies, optimizing for performance given extensive data loads. +Mentor teams and provide guidance for machine learning engineering deployment practices, promoting a culture of excellence. +Navigate complex problem-solving situations, contributing to decisions that affect the broader business's strategic direction. +Utilize CI/CD best practices to ensure the enterprise keeps with innovative practices and remains efficient, through engagement with ML and MLOps evolution outside of the organization. + + +Here's What You Need + + +Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience. +Expertise in high-performance backend technologies, preferably including Golang. +Extensive experience with cloud and/or on-premises distributed systems, data-intensive applications, and large-scale backend system design. +Deep knowledge of machine learning operationalization, including current trends, tools, and frameworks. +Proven problem-solving prowess, capable of pioneering novel solutions to sophisticated technical challenges. +Experienced in software development, deployment, and continuous improvement of complex CI/CD pipelines. +A love of technology, or thirst for knowledge, or curiosity about the world, or a desire to solve the hardest problems. + + +Why You’ll Love Working Here + + +Comprehensive health, dental, and vision plans for you and your dependents +Paid time off, health days, and personal obligation days plus flexible work schedules +Competitive retirement matching plans +Equity packages +Generous parental leave available to birthing, non-birthing, and adoptive parents +Annual well-being allowance plus fitness discounts and group wellness activities +Commuter benefits and discounts, where available +Employee assistance program +Mental health first aid program that provides an in-the-moment point of contact and reassurance +One day of volunteer time off per year and a donation-matching program +Bi-weekly town halls and regular community-led team events +Multiple resources and programming to support continuous learning +A workplace that supports a diverse, equitable, and inclusive environment – learn more here + + +Notification + +Index Exchange is aware that there have been recent scams directed toward candidates regarding job interviews and offers. + +Please be vigilant and do not accept interview requests, job offers, or other hiring-related documents from anyone other than our dedicated recruitment team, from the domain of @indexexchange.com. Our interview process consists of several steps, including phone screens and video interviews. We do not conduct interviews via an email questionnaire or request money at any point in the process. + +We remain dedicated to resolving this matter and we appreciate your support. + +Equal employment opportunity + +At Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification—diversity is the human experience. For those who show grit, passion, and humility—Index will welcome you. + +Accessibility For Applicants With Disabilities + +Index Exchange welcomes and encourages individuals with disabilities to apply to work with us. + +If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process. + +Index Everywhere, Index Anywhere + +Our corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, Berlin, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be. + + +Show more ","
+ + + + + +
+
+ We shaped the earliest forms of ad tech, and we’re looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that’s where the technical skills of our team make a real difference.

Our exchange handles over 350 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale. Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change.

What’s it like to work at Index?

We have more than 550 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers.

Index is an exciting and fast-paced place to work. We’re built on our values of change, support, learning and teaching, trust, and intention. We pride ourselves on our independence and openness, not only in our technology, but in our teams, too. Our diverse and inclusive culture celebrates how we can leverage our unique differences to help drive Index forward.

Our culture of success is truly supportive and collaborative. In working together across our teams, we’re continually investing in the people and technology to solve the industry’s most complex problems. As we extend the promise of ad tech to every channel, we’re looking for talented engineers to help advance Index, and the industry, forward.

Are you ready to join the programmatic evolution?

Index Exchange funds the open web. Content and journalism across the internet are funded through advertising, and we are the engine that helps to make that happen transparently, safely and efficiently. Handling hundreds of billions of auctions per day within milliseconds requires an intense understanding of the exchange and the ecosystem that we live in.

Our business is growing significantly every year and is poised to grow even faster. Our people and our platforms are the foundation and enabler of that growth. We are significantly expanding our technology teams, and are looking for technologists with a passion for high performance software development, and a drive to deliver software products and platforms that enable and empower industries at a global scale.

About The Role

We’re looking for a Senior Machine Learning & Optimization Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.

Index’s scale spans the globe, our transactions happen 24x7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange. In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business.

What We Are Looking For

  • Design and implement enterprise-scale MLOps systems and platforms, setting standards for high-performance ML products.
  • Productionalize and support scalable and efficient Machine Learning models and solutions.
  • Refine and contribute to advanced data management strategies, optimizing for performance given extensive data loads.
  • Mentor teams and provide guidance for machine learning engineering deployment practices, promoting a culture of excellence.
  • Navigate complex problem-solving situations, contributing to decisions that affect the broader business's strategic direction.
  • Utilize CI/CD best practices to ensure the enterprise keeps with innovative practices and remains efficient, through engagement with ML and MLOps evolution outside of the organization.

Here's What You Need

  • Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Expertise in high-performance backend technologies, preferably including Golang.
  • Extensive experience with cloud and/or on-premises distributed systems, data-intensive applications, and large-scale backend system design.
  • Deep knowledge of machine learning operationalization, including current trends, tools, and frameworks.
  • Proven problem-solving prowess, capable of pioneering novel solutions to sophisticated technical challenges.
  • Experienced in software development, deployment, and continuous improvement of complex CI/CD pipelines.
  • A love of technology, or thirst for knowledge, or curiosity about the world, or a desire to solve the hardest problems.

Why You’ll Love Working Here

  • Comprehensive health, dental, and vision plans for you and your dependents
  • Paid time off, health days, and personal obligation days plus flexible work schedules
  • Competitive retirement matching plans
  • Equity packages
  • Generous parental leave available to birthing, non-birthing, and adoptive parents
  • Annual well-being allowance plus fitness discounts and group wellness activities
  • Commuter benefits and discounts, where available
  • Employee assistance program
  • Mental health first aid program that provides an in-the-moment point of contact and reassurance
  • One day of volunteer time off per year and a donation-matching program
  • Bi-weekly town halls and regular community-led team events
  • Multiple resources and programming to support continuous learning
  • A workplace that supports a diverse, equitable, and inclusive environment – learn more here

Notification

Index Exchange is aware that there have been recent scams directed toward candidates regarding job interviews and offers.

Please be vigilant and do not accept interview requests, job offers, or other hiring-related documents from anyone other than our dedicated recruitment team, from the domain of @indexexchange.com. Our interview process consists of several steps, including phone screens and video interviews. We do not conduct interviews via an email questionnaire or request money at any point in the process.

We remain dedicated to resolving this matter and we appreciate your support.

Equal employment opportunity

At Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification—diversity is the human experience. For those who show grit, passion, and humility—Index will welcome you.

Accessibility For Applicants With Disabilities

Index Exchange welcomes and encourages individuals with disabilities to apply to work with us.

If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.

Index Everywhere, Index Anywhere

Our corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, Berlin, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-03,[] +3919524706,https://ca.linkedin.com/jobs/view/software-engineer-growth-data-engineering-at-stripe-3919524706?position=8&pageNum=7&refId=GJha5hzipxj1MqtPJXym%2Bg%3D%3D&trackingId=N1vKyCy5zxx1PEX3xRahCw%3D%3D&trk=public_jobs_jserp-result_search-card,"Software Engineer, Growth Data Engineering",Stripe,"Toronto, Ontario, Canada","Who we are + +About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year. + +With all this data, the Growth Data Engineering team is looking for talented data-minded engineers to help us manage business critical data leveraged across the entire organization. If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you. + +What you’ll do + +Every record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data. You’ll be working with a variety of internal teams across Growth, Sales, Marketing, and Data Science to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s Growth organization is performing and how we can deliver a better experience to Stripe's customers. + +Responsibilities + + +Identify data needs for Growth, Sales, and Marketing teams, understand their specific operational and reporting requirements, and build efficient and scalable data products & pipelines to enable data-driven decisions across Stripe +Design, develop, and own data pipelines, models, and products that power Stripe’s Growth, Sales, and Marketing teams +Help the Data Science team apply and generalize statistical and econometric models on large datasets to empower more intelligent decision making among our Growth & Go-to-Market teams +Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support the Growth & Go-to-Market organizations at Stripe +Build Stripe's Customer Engagement Data Service - collecting, curating, mastering, enriching, and presenting a single view of user interactions with Stripe for consumption by data applications across the company +Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow +Design and build client libraries and frameworks to log events and accurately track the behavior of users interacting with our logged-out user interfaces such as Stripe.com +Refine our existing data marts that help the Sales and Marketing organization at Stripe forecast the future potential performance of the business, and reliably measure their ongoing attainment toward targets +Build data pipelines that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field +Integrate different parts of our experimentation infrastructure at Stripe, to enable full-funnel measurement and personalization of experiences spanning from Stripe.com into product +Our stack spans tools in Spark, Scala, Python, SQL, Presto, Airflow, AWS, Java, Go, and React + + + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data. +A strong engineering background and are interested in data +Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc) +An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues +Knowledge of a scientific computing language (such as Scala or Python) and SQL +Experience with full stack development languages such as Java or Go, and front-end frameworks such as React +The ability to communicate cross-functionally, derive requirements and architect shared datasets + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual US base salary range for this role is $136,800 - $244,700. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. + +Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year.

With all this data, the Growth Data Engineering team is looking for talented data-minded engineers to help us manage business critical data leveraged across the entire organization. If you are passionate about data, excited about designing data pipelines and data-driven user experiences, and motivated by having an outsized impact on the business, we want to hear from you.

What you’ll do

Every record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data. You’ll be working with a variety of internal teams across Growth, Sales, Marketing, and Data Science to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s Growth organization is performing and how we can deliver a better experience to Stripe's customers.

Responsibilities

  • Identify data needs for Growth, Sales, and Marketing teams, understand their specific operational and reporting requirements, and build efficient and scalable data products & pipelines to enable data-driven decisions across Stripe
  • Design, develop, and own data pipelines, models, and products that power Stripe’s Growth, Sales, and Marketing teams
  • Help the Data Science team apply and generalize statistical and econometric models on large datasets to empower more intelligent decision making among our Growth & Go-to-Market teams
  • Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support the Growth & Go-to-Market organizations at Stripe
  • Build Stripe's Customer Engagement Data Service - collecting, curating, mastering, enriching, and presenting a single view of user interactions with Stripe for consumption by data applications across the company
  • Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable Growth, Sales, and Marketing teams at Stripe - working with Scala, Spark, and Airflow
  • Design and build client libraries and frameworks to log events and accurately track the behavior of users interacting with our logged-out user interfaces such as Stripe.com
  • Refine our existing data marts that help the Sales and Marketing organization at Stripe forecast the future potential performance of the business, and reliably measure their ongoing attainment toward targets
  • Build data pipelines that track key GTM product metrics, and measure the impact of different GTM strategies employed by teams in the field
  • Integrate different parts of our experimentation infrastructure at Stripe, to enable full-funnel measurement and personalization of experiences spanning from Stripe.com into product
  • Our stack spans tools in Spark, Scala, Python, SQL, Presto, Airflow, AWS, Java, Go, and React


Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • 3+ years of experience in a Data Engineering or Software Engineering role, with a focus on building data pipelines, or applications powered by big data.
  • A strong engineering background and are interested in data
  • Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc)
  • An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
  • Knowledge of a scientific computing language (such as Scala or Python) and SQL
  • Experience with full stack development languages such as Java or Go, and front-end frameworks such as React
  • The ability to communicate cross-functionally, derive requirements and architect shared datasets


Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

Pay and benefits

The annual US base salary range for this role is $136,800 - $244,700. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3966912821,https://ca.linkedin.com/jobs/view/lead-data-scientist-machine-learning-engineer-singapore-based-relocation-provided-at-agoda-3966912821?position=10&pageNum=7&refId=GJha5hzipxj1MqtPJXym%2Bg%3D%3D&trackingId=433DIGmKHfN%2Fpx6VRAUnxw%3D%3D&trk=public_jobs_jserp-result_search-card,"Lead Data Scientist/Machine Learning Engineer (Singapore-based, relocation provided)",Agoda,"Toronto, Ontario, Canada","About Agoda + +Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. + +Our Purpose – Bridging the World Through Travel + +We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. + +We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. + +Get to Know Our Team + +The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. + +The Opportunity + +We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. + +As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. + +In This Role, You’ll Get to + + +Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness +Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation +Work with developers and a variety of business owners to deliver daily results with the best quality +Research discover and harness new ideas that can make a difference + + +What You’ll Need To Succeed + + +4+ years hands-on data science experience +Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks +Significant proficiency in SQL and languages like Python, PySpark and/or Scala +Can lead, work independently as well as play a key role in a team +Good communication and interpersonal skills for working in a multicultural work environment + + +It’s Great if You Have + + +PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields +Experience in NLP, image processing and/or recommendation systems +Hands on experience in data engineering, working with big data framework like Spark/Hadoop +Experience in data science for e-commerce and/or OTA + + +We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. + +#sanfrancisco #newyork #seattle #boston #washdc #sydney #melbourne #perth #paris #london #tokyo #dhaka #vienna #edinburgh #manchester #amsterdam #munich #berlin #toronto #vancouver #moscow #dublin #seoul #hcmc #singapore #ENG #IT #4 + +Equal Opportunity Employer + +At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. + +We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . + +To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes. + + +Show more ","
+ + + + + +
+
+ About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Our Purpose – Bridging the World Through Travel

We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.

We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

Get to Know Our Team

The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

In This Role, You’ll Get to

  • Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
  • Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
  • Work with developers and a variety of business owners to deliver daily results with the best quality
  • Research discover and harness new ideas that can make a difference

What You’ll Need To Succeed

  • 4+ years hands-on data science experience
  • Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
  • Significant proficiency in SQL and languages like Python, PySpark and/or Scala
  • Can lead, work independently as well as play a key role in a team
  • Good communication and interpersonal skills for working in a multicultural work environment

It’s Great if You Have

  • PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
  • Experience in NLP, image processing and/or recommendation systems
  • Hands on experience in data engineering, working with big data framework like Spark/Hadoop
  • Experience in data science for e-commerce and/or OTA

We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

#sanfrancisco #newyork #seattle #boston #washdc #sydney #melbourne #perth #paris #london #tokyo #dhaka #vienna #edinburgh #manchester #amsterdam #munich #berlin #toronto #vancouver #moscow #dublin #seoul #hcmc #singapore #ENG #IT #4

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .

To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

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",2024-07-26,[] +3937762957,https://ca.linkedin.com/jobs/view/machine-learning-engineer-platform-at-coinbase-3937762957?position=2&pageNum=10&refId=igPjmXGVeIltNHwVlnapuQ%3D%3D&trackingId=cCke4PRO9%2FKI4mAqqQ3YwA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer - Platform,Coinbase,"Toronto, Ontario, Canada","At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. + +There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. + +Who You Are + + +You’ve got positive energy. You’re optimistic about the future and determined to get there. +You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. +You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow. +You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job. +You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission. +You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. + + +We are looking for an aspiring Machine Learning Engineer to join our team. The Coinbase Machine Learning team is committed to developing sophisticated ML models that make our platform more secure, expand usage of Coinbase through personalized recommendations, and improve the user experience for our customers. Our mission is to keep building scalable, adaptive, blockchain aware ML systems that help our users explore and discover new use cases for Crypto on Coinbase and on the blockchain. + +The Machine Learning org is a part of our Platform Product Group. The Platform Product Group’s mission is to build a trusted, scalable, and compliant platform to maximize velocity, efficiency and quality. They build the foundations that can be used by multiple products and teams at Coinbase so that users can have a consistent and high-quality experience. + +What You’ll Be Doing (ie. Job Duties) + + +Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale +Contribute to our ML models for Risk, work at the intersection of Blockchain and AI technologies +Work with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain + + +What We Look For In You (ie. Job Requirements) + + +2+ yrs of industry experience as a Machine Learning Engineer +Solid software engineering skills +Experience with coding on ML platforms (e.g., Tensorflow, PyTorch) +Experience with basic ML techniques (e.g., supervised and unsupervised learning) +Willingness to learn and adapt to new technologies and challenges + + +Nice To Have + + +Master's degree or PhD in Machine Learning, Computer Science or related field +Interest in DNNs, GANS, GNNs and Time Series modeling is a plus + + +Job ID: GPML04US + +Pay Transparency Notice: The target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, and vision). + +Pay Range + +$149,500—$149,500 CAD + +Commitment to Equal Opportunity + +Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. + +Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). + +Global Data Privacy Notice for Job Candidates and Applicants + +Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. +Show more ","
+ + + + + +
+
+ At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.

There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.

Who You Are

  • You’ve got positive energy. You’re optimistic about the future and determined to get there.
  • You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
  • You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
  • You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
  • You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
  • You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.

We are looking for an aspiring Machine Learning Engineer to join our team. The Coinbase Machine Learning team is committed to developing sophisticated ML models that make our platform more secure, expand usage of Coinbase through personalized recommendations, and improve the user experience for our customers. Our mission is to keep building scalable, adaptive, blockchain aware ML systems that help our users explore and discover new use cases for Crypto on Coinbase and on the blockchain.

The Machine Learning org is a part of our Platform Product Group. The Platform Product Group’s mission is to build a trusted, scalable, and compliant platform to maximize velocity, efficiency and quality. They build the foundations that can be used by multiple products and teams at Coinbase so that users can have a consistent and high-quality experience.

What You’ll Be Doing (ie. Job Duties)

  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale
  • Contribute to our ML models for Risk, work at the intersection of Blockchain and AI technologies
  • Work with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain

What We Look For In You (ie. Job Requirements)

  • 2+ yrs of industry experience as a Machine Learning Engineer
  • Solid software engineering skills
  • Experience with coding on ML platforms (e.g., Tensorflow, PyTorch)
  • Experience with basic ML techniques (e.g., supervised and unsupervised learning)
  • Willingness to learn and adapt to new technologies and challenges

Nice To Have

  • Master's degree or PhD in Machine Learning, Computer Science or related field
  • Interest in DNNs, GANS, GNNs and Time Series modeling is a plus

Job ID: GPML04US

Pay Transparency Notice: The target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, and vision).

Pay Range

$149,500—$149,500 CAD

Commitment to Equal Opportunity

Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3989932208,https://ca.linkedin.com/jobs/view/software-engineer-new-grad-2025-at-sentry-3989932208?position=3&pageNum=10&refId=igPjmXGVeIltNHwVlnapuQ%3D%3D&trackingId=AebK%2FoYKSFjy0fj4htCcaA%3D%3D&trk=public_jobs_jserp-result_search-card,"Software Engineer, New Grad (2025)",Sentry,"Toronto, Ontario, Canada","About Sentry + +Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster, so we can get back to enjoying technology. + +With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools. + +About The Role + +Sentry is looking for talented new graduates to join our growing Software Engineering teams. Engineers at Sentry are challenged to solve a range of technical problems: from building fast and delightful UIs for navigating millions of error and performance events, to architecting solutions that ingest, store, and index terabytes of data every day. As a Software Engineer, New Grad, you will be coached by a diverse team of multi-talented engineers and will directly impact a complex and growing codebase. + +In this role you will + + +Work with a team to develop and extend the Sentry product by writing software in either Python or JavaScript (or both) +Be responsible for full software development lifecycle - design, development, testing, and operating in production +Communicate effectively with other engineers in the same team, with other teams and with various other stakeholders (such as product managers) +Act on feedback, coaching, and mentorship from your manager and teammates + + +You’ll love this job if you + + +Want to actively use the product you're building (we dogfood Sentry every day) +Want to start your career at a high-growth startup +Want to join a modern software development team that iterates & ships code rapidly +Are excited at the opportunity to contribute to an open-source project every day + + +Qualifications + + +B.S. or higher in Computer Science (or similar degree program) +At least 1 previous internship or equivalent practical experience +Implementation skills with one or more general-purpose programming languages, e.g. Python, JavaScript, Java, etc. +Good knowledge of algorithms, data structures, and object-oriented design principles +Experience working with version control and unit testing +Please note visa sponsorship is not available for this position + + +The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $124,000 to $134,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company’s benefit plans/programs. + +Equal Opportunity at Sentry + +Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. + +If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. + +Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy. +Show more ","
+ + + + + +
+
+ About Sentry

Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster, so we can get back to enjoying technology.

With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools.

About The Role

Sentry is looking for talented new graduates to join our growing Software Engineering teams. Engineers at Sentry are challenged to solve a range of technical problems: from building fast and delightful UIs for navigating millions of error and performance events, to architecting solutions that ingest, store, and index terabytes of data every day. As a Software Engineer, New Grad, you will be coached by a diverse team of multi-talented engineers and will directly impact a complex and growing codebase.

In this role you will

  • Work with a team to develop and extend the Sentry product by writing software in either Python or JavaScript (or both)
  • Be responsible for full software development lifecycle - design, development, testing, and operating in production
  • Communicate effectively with other engineers in the same team, with other teams and with various other stakeholders (such as product managers)
  • Act on feedback, coaching, and mentorship from your manager and teammates

You’ll love this job if you

  • Want to actively use the product you're building (we dogfood Sentry every day)
  • Want to start your career at a high-growth startup
  • Want to join a modern software development team that iterates & ships code rapidly
  • Are excited at the opportunity to contribute to an open-source project every day

Qualifications

  • B.S. or higher in Computer Science (or similar degree program)
  • At least 1 previous internship or equivalent practical experience
  • Implementation skills with one or more general-purpose programming languages, e.g. Python, JavaScript, Java, etc.
  • Good knowledge of algorithms, data structures, and object-oriented design principles
  • Experience working with version control and unit testing
  • Please note visa sponsorship is not available for this position

The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $124,000 to $134,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company’s benefit plans/programs.

Equal Opportunity at Sentry

Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.

If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.

Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3941730340,https://ca.linkedin.com/jobs/view/full-stack-engineer-accounts-connect-activation-at-stripe-3941730340?position=4&pageNum=10&refId=igPjmXGVeIltNHwVlnapuQ%3D%3D&trackingId=s%2BNk5UKNyd3dq2MCqEikvw%3D%3D&trk=public_jobs_jserp-result_search-card,"Full Stack Engineer, Accounts & Connect Activation",Stripe,"Toronto, Ontario, Canada","Who we are + +About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. + +About The Team + +We oversee Accounts and Connect APIs and dashboard surfaces that Stripe users rely on to run their business. + +As part of revamping our Accounts Platform for the next decade plus, we have the opportunity to solve challenging user pain points at scale and build a granular, expressive framework powering users’ onboarding experience as well as that of their own end users. As part of revamping our Platform Abstractions, we have an opportunity to provide flexibility to our users in terms of their economic model, funds flows, and how they integrate their business with Stripe. + +A strong foundation of customizable account structures and interoperable APIs is critical to Stripe’s long-term success. It’s important we get the set of core business blocks right – that we understand how businesses of all sizes model their organizational structures and think about their relationships, and we ensure that integrating with Stripe is nothing short of a fantastic experience. We are applying Stripe’s developer-centric approach to building a flexible, programmable representation of humans, businesses, and money that maps across all Stripe products. + +What you'll do + +Engineers on the team will design and build end-to-end features for Stripe’s Accounts and Connect APIs. This includes features for Stripe’s largest users with complex integrations, as well as new users, solopreneurs, and startups. We are seeking engineers who are excited to develop features for these foundations as well as their API and UI representations, delivering best-in-class product experiences for our users. + +Responsibilities + + +Build beautiful end-to-end user experiences as well as high-performance APIs that power them +Ensure our infrastructure is extensible, scalable, and reliable for both internal and external users +Collaborate with cross-functional partner teams to deliver delightful developer experiences and comprehensive interfaces with core account and money movement primitives +Reduce complexity for our users via simple yet powerful abstractions + + + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +Strong technical background, including 4+ years of experience as a full stack engineer, with an affinity for building scalable backend infrastructure. +Experience delivering, extending, and maintaining large scale distributed systems. +Empathetic, collaborative, and user-first mindset in everything you build +Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users +Ability to stitch together many different services together even if you have not worked with them before +Preference for simple solutions and designs over complex ones, and having a good intuition for what is lasting and scalable +The skills to build holistically – from specs and documentation to implementation, testing, deployment, and measuring impact +Ability to work well cross-functionally and earn trust from colleagues at all levels +Experience mentoring and growing junior engineers as their technical leader + + + +Preferred Qualifications + + +Junior and fellow senior engineers feel they are able to learn from you, and you care deeply about mentoring others +Propensity to ask questions, assume good intentions, and defaulting to transparency +You are often cited as the inspiration for engineers that join your team + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$134,400 - C$201,600. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team

We oversee Accounts and Connect APIs and dashboard surfaces that Stripe users rely on to run their business.

As part of revamping our Accounts Platform for the next decade plus, we have the opportunity to solve challenging user pain points at scale and build a granular, expressive framework powering users’ onboarding experience as well as that of their own end users. As part of revamping our Platform Abstractions, we have an opportunity to provide flexibility to our users in terms of their economic model, funds flows, and how they integrate their business with Stripe.

A strong foundation of customizable account structures and interoperable APIs is critical to Stripe’s long-term success. It’s important we get the set of core business blocks right – that we understand how businesses of all sizes model their organizational structures and think about their relationships, and we ensure that integrating with Stripe is nothing short of a fantastic experience. We are applying Stripe’s developer-centric approach to building a flexible, programmable representation of humans, businesses, and money that maps across all Stripe products.

What you'll do

Engineers on the team will design and build end-to-end features for Stripe’s Accounts and Connect APIs. This includes features for Stripe’s largest users with complex integrations, as well as new users, solopreneurs, and startups. We are seeking engineers who are excited to develop features for these foundations as well as their API and UI representations, delivering best-in-class product experiences for our users.

Responsibilities

  • Build beautiful end-to-end user experiences as well as high-performance APIs that power them
  • Ensure our infrastructure is extensible, scalable, and reliable for both internal and external users
  • Collaborate with cross-functional partner teams to deliver delightful developer experiences and comprehensive interfaces with core account and money movement primitives
  • Reduce complexity for our users via simple yet powerful abstractions


Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • Strong technical background, including 4+ years of experience as a full stack engineer, with an affinity for building scalable backend infrastructure.
  • Experience delivering, extending, and maintaining large scale distributed systems.
  • Empathetic, collaborative, and user-first mindset in everything you build
  • Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users
  • Ability to stitch together many different services together even if you have not worked with them before
  • Preference for simple solutions and designs over complex ones, and having a good intuition for what is lasting and scalable
  • The skills to build holistically – from specs and documentation to implementation, testing, deployment, and measuring impact
  • Ability to work well cross-functionally and earn trust from colleagues at all levels
  • Experience mentoring and growing junior engineers as their technical leader


Preferred Qualifications

  • Junior and fellow senior engineers feel they are able to learn from you, and you care deeply about mentoring others
  • Propensity to ask questions, assume good intentions, and defaulting to transparency
  • You are often cited as the inspiration for engineers that join your team


Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

Pay and benefits

The annual salary range for this role in the primary location is C$134,400 - C$201,600. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
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+ +
",2024-07-18,[] +3959584764,https://ca.linkedin.com/jobs/view/full-stack-software-developer-generative-ai-at-autodesk-3959584764?position=6&pageNum=10&refId=igPjmXGVeIltNHwVlnapuQ%3D%3D&trackingId=7i4%2BOFxlWTU9RDv9516Kuw%3D%3D&trk=public_jobs_jserp-result_search-card,Full Stack Software Developer-Generative AI,Autodesk,"Toronto, Ontario, Canada","Job Requisition ID # + +24WD79452 + +Job Title: Full Stack Software Developer, Generative AI + +Position Overview + +Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, Construction Cloud—and Forma, our new Industry Cloud. + +As a Full-Stack Software Developer on the AEC Solutions group, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will collaborate across organizations with a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers to develop generative AI solutions that enhance AEC customer workflows. + +  + +Report: You will report to the Head of Generative AI, AEC. + +Location: We support hybrid work, and you work near our Boston, Massachusetts or Toronto, Canada offices. + +  + +Responsibilities + + +      Collaborate with engineers and experience designers to develop, and test working software +      Contribute to the implementation of individual software components, with a high emphasis on quality, test-driven development, and sound software engineering practices. +      Participate in software design reviews, conduct peer code reviews, and provide input and feedback to other members of the development team. +      Write unit/functional/regression tests for the code you create, and contribute to test automation, continuous integration, and deployment processes together with everyone else in the development team. + + +  + +Minimum Qualifications + + +BS or MS in Computer Science or related technical field. +2+ years of software engineering experience +Previous front-end web development experience working with Python/TypeScript/JavaScript/React/Next.js +Experience with microservices and RESTful web services, as a provider and a consumer. +Experience with OpenGL/WebGL or other graphics programming interfaces +Understanding of modern software practices including Continuous Integration, Continuous Delivery, and Infrastructure-as-Code. +Experience with Scrum and Agile development processes and methodologies. + + +  + +Other Qualifications + + +Previous back-end development experience including working with Docker and Serverless/Lambda +Familiarity with Machine Learning/Data Science concepts and experience working with libraries like PyTorch, TensorFlow +Experience working 3D libraries, such as three.js +Experience with C# and .NET framework +Familiarity with authentication providers using OAuth2.0 +Familiarity with SageMaker +Experience in the AEC industry, Autodesk products such as Revit or Forma, and AEC data schemas and standards. + + +Ideal Candidate + + +You easily collaborate with other members of an Agile team to get products and components developed and completed. +You are constantly striving to learn new technologies and methodologies. +You are adaptable, customer-focused, and seek new ways to solve hard problems. + + +  + +Learn More + +About Autodesk + +Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. + +We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. + +When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us! + +Salary transparency + +Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $110,300 and $190,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. + +Equal Employment Opportunity + +At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. + +Diversity & Belonging + +We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging + +Are you an existing contractor or consultant with Autodesk? + +Please search for open jobs and apply internally (not on this external site). +Show more ","
+ + + + + +
+
+ Job Requisition ID #

24WD79452

Job Title: Full Stack Software Developer, Generative AI

Position Overview

Autodesk is leading the transformation of the AEC industry, integrating AI technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products—AutoCAD, Revit, Construction Cloud—and Forma, our new Industry Cloud.

As a Full-Stack Software Developer on the AEC Solutions group, you will join a team of technologists to help build foundation models and generative AI tools for the AEC industry. You will collaborate across organizations with a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers to develop generative AI solutions that enhance AEC customer workflows.



Report: You will report to the Head of Generative AI, AEC.

Location: We support hybrid work, and you work near our Boston, Massachusetts or Toronto, Canada offices.



Responsibilities

  •       Collaborate with engineers and experience designers to develop, and test working software
  •       Contribute to the implementation of individual software components, with a high emphasis on quality, test-driven development, and sound software engineering practices.
  •       Participate in software design reviews, conduct peer code reviews, and provide input and feedback to other members of the development team.
  •       Write unit/functional/regression tests for the code you create, and contribute to test automation, continuous integration, and deployment processes together with everyone else in the development team.



Minimum Qualifications

  • BS or MS in Computer Science or related technical field.
  • 2+ years of software engineering experience
  • Previous front-end web development experience working with Python/TypeScript/JavaScript/React/Next.js
  • Experience with microservices and RESTful web services, as a provider and a consumer.
  • Experience with OpenGL/WebGL or other graphics programming interfaces
  • Understanding of modern software practices including Continuous Integration, Continuous Delivery, and Infrastructure-as-Code.
  • Experience with Scrum and Agile development processes and methodologies.



Other Qualifications

  • Previous back-end development experience including working with Docker and Serverless/Lambda
  • Familiarity with Machine Learning/Data Science concepts and experience working with libraries like PyTorch, TensorFlow
  • Experience working 3D libraries, such as three.js
  • Experience with C# and .NET framework
  • Familiarity with authentication providers using OAuth2.0
  • Familiarity with SageMaker
  • Experience in the AEC industry, Autodesk products such as Revit or Forma, and AEC data schemas and standards.

Ideal Candidate

  • You easily collaborate with other members of an Agile team to get products and components developed and completed.
  • You are constantly striving to learn new technologies and methodologies.
  • You are adaptable, customer-focused, and seek new ways to solve hard problems.



Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $110,300 and $190,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site). +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-18,[] +3971188382,https://ca.linkedin.com/jobs/view/qa-engineer-1-year-contract-at-publicis-groupe-3971188382?position=7&pageNum=10&refId=igPjmXGVeIltNHwVlnapuQ%3D%3D&trackingId=1e%2BhC%2FWq1QXjqADPHXMxBg%3D%3D&trk=public_jobs_jserp-result_search-card,QA Engineer - 1 Year Contract,Publicis Groupe,"Toronto, Ontario, Canada","Saatchi & Saatchi is an advertising agency with the belief that creativity, data, media and technology should all work together, and we use that to influence human behavior and drive success for clients. S&S is one of the world's largest agency networks with 114 offices and more than 6000 employees globally. Here in our Toronto office we work with some of the countries most valued brands including Toyota, Lexus, Quesada and Mondelez just to name a few. We’re an award winning agency in both creativity and effectiveness, so it’s really important for us here to convert that innovation and the great ideas into real tangible business results for the organization. + + + +Job Description + + + +This is a 1 year Contract position with Saatchi & Saatchi + +Responsibilities: + +Develop and execute high-quality testing plans and produce detailed QA documentation. +Stand up test automation frameworks and integrated workflows for test plan automation. +Participate in project planning meetings, offering insight to uphold quality and craft test plans. +Provide estimates for executing test plans for upcoming projects. +Execute regression tests and audit the system for compliance with internal standards. +Triage incoming defect tickets to ensure priority issues are addressed. +Conduct Quality Assurance sweeps, leveraging automated test tools for efficiency. +Work with the development team to constantly improve the testing framework and bring new industry ideas to planning and retrospective discussions. + + +Qualifications + + +Bachelor’s degree in computer science, a similar technical field of study, or equivalent practical experience. +3+ years of experience in software or web QA. +Knowledge of QA methodology, tools, software testing standards, methods, conventions, and the product development cycle. +Experience with scripting user-level test automation and performing black-box testing. +Strong ability to multi-task, prioritize, and solve problems. +Experience with Jira and test suite tools such as Zephyr. +Demonstrated ability to adapt to new technologies and learn quickly. + + +Additional Information + + + +Saatchi & Saatchi Toronto is an equal opportunity employer with a strong commitment to diversity and inclusion. Drawing on valuable perspectives and insights from our unique workforce allows us to continue sharing our best work with the world. We encourage applications from all qualified individuals and will provide appropriate accommodation for candidates with disabilities or accessibility needs throughout the recruitment process, upon request. Please contact our recruiter for any questions, accommodations or specific requests. + +Show more ","
+ + + + + +
+
+

Saatchi & Saatchi is an advertising agency with the belief that creativity, data, media and technology should all work together, and we use that to influence human behavior and drive success for clients. S&S is one of the world's largest agency networks with 114 offices and more than 6000 employees globally. Here in our Toronto office we work with some of the countries most valued brands including Toyota, Lexus, Quesada and Mondelez just to name a few. We’re an award winning agency in both creativity and effectiveness, so it’s really important for us here to convert that innovation and the great ideas into real tangible business results for the organization.

Job Description

This is a 1 year Contract position with Saatchi & Saatchi

Responsibilities:

  • Develop and execute high-quality testing plans and produce detailed QA documentation.
  • Stand up test automation frameworks and integrated workflows for test plan automation.
  • Participate in project planning meetings, offering insight to uphold quality and craft test plans.
  • Provide estimates for executing test plans for upcoming projects.
  • Execute regression tests and audit the system for compliance with internal standards.
  • Triage incoming defect tickets to ensure priority issues are addressed.
  • Conduct Quality Assurance sweeps, leveraging automated test tools for efficiency.
  • Work with the development team to constantly improve the testing framework and bring new industry ideas to planning and retrospective discussions.

Qualifications

  • Bachelor’s degree in computer science, a similar technical field of study, or equivalent practical experience.
  • 3+ years of experience in software or web QA.
  • Knowledge of QA methodology, tools, software testing standards, methods, conventions, and the product development cycle.
  • Experience with scripting user-level test automation and performing black-box testing.
  • Strong ability to multi-task, prioritize, and solve problems.
  • Experience with Jira and test suite tools such as Zephyr.
  • Demonstrated ability to adapt to new technologies and learn quickly.

Additional Information

Saatchi & Saatchi Toronto is an equal opportunity employer with a strong commitment to diversity and inclusion. Drawing on valuable perspectives and insights from our unique workforce allows us to continue sharing our best work with the world. We encourage applications from all qualified individuals and will provide appropriate accommodation for candidates with disabilities or accessibility needs throughout the recruitment process, upon request. Please contact our recruiter for any questions, accommodations or specific requests.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-12,[] +3994000986,https://ca.linkedin.com/jobs/view/data-scientist-at-imperva-3994000986?position=1&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=h5gwrI22SVkNr9xP8SgnBg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Imperva,"Vancouver, British Columbia, Canada","Data Scientist + +About Imperva + +Imperva is an analyst-recognized, cybersecurity leader—championing the fight to secure data and applications wherever they reside. Once deployed, our solutions proactively identify, evaluate, and eliminate current and emerging threats, so you never have to choose between innovating for your customers and protecting what matters most. Imperva—Protect the pulse of your business. + +We are looking for a talented, experienced Data Scientist who is ever curious about data. We expect this team member to be able to show initiative and creatively find problems as well as solve them. Much of the work of this team is analyzing detection mechanisms in production and then figuring out how to make advances in bot detection, followed by executing on that roadmap. + +Hybrid – Vancouver, Canada + +What You Can Expect In This Role + +Analyze false positives for detection mechanisms to hone the product + +Identify and isolate new advanced bot behaviors + +Participate in the team’s agile ceremonies: daily scrum, weekly backlog grooming, sprint planning, and retrospectives. + +Demo and share your work with stakeholders + +Collaborate with product managers, data scientists and software engineers to understand business objectives and customer pain points. + +Engage with customers and frontline teams to better understand use cases and pain points + +Spend time analyzing web traffic data to identify and isolate new advanced bot behaviors + +Design and implement new bot detection methods + +Key Areas Of Responsibility + + +Data curiosity. Many of the problems we face reduce to data problems. Must be proficient with analysis and processing of very large datasets +Determination to solve problems through technical and organizational hurdles. +Interest in threat detection/identification in an arms race situation. Attackers are constantly trying to bypass our systems. We need to patch vulnerabilities in our existing detection methods that attackers are exploiting as well as come up with new methods and techniques. +Customer focus : this is both a product team as well as a research team. We need to be willing and able to work with the codebase and provide value to our customers. +Ability to execute . What we want is demonstrated ability to get things done and work through impediments when they arise. +Staying informed about developments in Data Science, statistics and related fields. The ideal candidate can read and implement the ideas of research papers. + + +Minimum Requirements + + +Advanced degree in Data Science, Data Analysis, Statistics, Computer Science, or equivalent experience +Extensive experience performing data analysis +Demonstrated experience with software experience fundamentals: command line, version control, pull request review, software maintenance, etc. +Proficiency in analytical programming in Python, R or Julia (Python is preferred) +In-depth knowledge of data processing and analysis libraries such as Pandas or R’s tidyverse +Data visualization skills +In-depth, experienced understanding of SQL +Familiar with machine learning principles and techniques +Working knowledge of data structures and algorithms. +Ability to communicate insights in layman’s terms to stakeholders to inform product decisions + + +Advantage + + +Cyber security or web analytics + + +The anticipated annual base salary range for this position is CAD$106,000 – $130,000. The salary offered will be determined based on the candidate’s experience, knowledge, skills, other qualifications, and location. + +Our Company + +Imperva is an analyst-recognized, cybersecurity leader—championing the fight to secure data and applications wherever they reside. Once deployed, our solutions proactively identify, evaluate, and eliminate current and emerging threats, so you never have to choose between innovating for your customers and protecting what matters most. Imperva—Protect the pulse of your business. Learn more: www.imperva.com , our blog , on Twitter . + +Rewards + +Imperva offers a competitive compensation package that includes base salary, medical, flexible time off, salary continuance for adoption or birth of a child and more. It’s an exciting time to work in the security space. Check out our products and services at www.imperva.com and career opportunities at www.imperva.com/careers + +Legal Notice + +Imperva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ancestry, pregnancy, age, sexual orientation, gender identity, marital status, protected veteran status, medical condition or disability, or any other characteristic protected by law. + +LI#Hybrid + +LI#VL1 +Show more ","
+ + + + + +
+
+ Data Scientist

About Imperva

Imperva is an analyst-recognized, cybersecurity leader—championing the fight to secure data and applications wherever they reside. Once deployed, our solutions proactively identify, evaluate, and eliminate current and emerging threats, so you never have to choose between innovating for your customers and protecting what matters most. Imperva—Protect the pulse of your business.

We are looking for a talented, experienced Data Scientist who is ever curious about data. We expect this team member to be able to show initiative and creatively find problems as well as solve them. Much of the work of this team is analyzing detection mechanisms in production and then figuring out how to make advances in bot detection, followed by executing on that roadmap.

Hybrid – Vancouver, Canada

What You Can Expect In This Role

Analyze false positives for detection mechanisms to hone the product

Identify and isolate new advanced bot behaviors

Participate in the team’s agile ceremonies: daily scrum, weekly backlog grooming, sprint planning, and retrospectives.

Demo and share your work with stakeholders

Collaborate with product managers, data scientists and software engineers to understand business objectives and customer pain points.

Engage with customers and frontline teams to better understand use cases and pain points

Spend time analyzing web traffic data to identify and isolate new advanced bot behaviors

Design and implement new bot detection methods

Key Areas Of Responsibility

  • Data curiosity. Many of the problems we face reduce to data problems. Must be proficient with analysis and processing of very large datasets
  • Determination to solve problems through technical and organizational hurdles.
  • Interest in threat detection/identification in an arms race situation. Attackers are constantly trying to bypass our systems. We need to patch vulnerabilities in our existing detection methods that attackers are exploiting as well as come up with new methods and techniques.
  • Customer focus : this is both a product team as well as a research team. We need to be willing and able to work with the codebase and provide value to our customers.
  • Ability to execute . What we want is demonstrated ability to get things done and work through impediments when they arise.
  • Staying informed about developments in Data Science, statistics and related fields. The ideal candidate can read and implement the ideas of research papers.

Minimum Requirements

  • Advanced degree in Data Science, Data Analysis, Statistics, Computer Science, or equivalent experience
  • Extensive experience performing data analysis
  • Demonstrated experience with software experience fundamentals: command line, version control, pull request review, software maintenance, etc.
  • Proficiency in analytical programming in Python, R or Julia (Python is preferred)
  • In-depth knowledge of data processing and analysis libraries such as Pandas or R’s tidyverse
  • Data visualization skills
  • In-depth, experienced understanding of SQL
  • Familiar with machine learning principles and techniques
  • Working knowledge of data structures and algorithms.
  • Ability to communicate insights in layman’s terms to stakeholders to inform product decisions

Advantage

  • Cyber security or web analytics

The anticipated annual base salary range for this position is CAD$106,000 – $130,000. The salary offered will be determined based on the candidate’s experience, knowledge, skills, other qualifications, and location.

Our Company

Imperva is an analyst-recognized, cybersecurity leader—championing the fight to secure data and applications wherever they reside. Once deployed, our solutions proactively identify, evaluate, and eliminate current and emerging threats, so you never have to choose between innovating for your customers and protecting what matters most. Imperva—Protect the pulse of your business. Learn more: www.imperva.com , our blog , on Twitter .

Rewards

Imperva offers a competitive compensation package that includes base salary, medical, flexible time off, salary continuance for adoption or birth of a child and more. It’s an exciting time to work in the security space. Check out our products and services at www.imperva.com and career opportunities at www.imperva.com/careers

Legal Notice

Imperva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ancestry, pregnancy, age, sexual orientation, gender identity, marital status, protected veteran status, medical condition or disability, or any other characteristic protected by law.

LI#Hybrid

LI#VL1 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3976438076,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-acceler8-talent-3976438076?position=2&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=PSwSGj5lDbvQt4mecpom%2FQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Acceler8 Talent,"Vancouver, British Columbia, Canada","Machine Learning Engineer + + + + +Introduction to the Role: We are seeking skilled Machine Learning Engineers to take on the challenge of integrating advanced machine learning technologies into real-world robotic applications. If you have a passion for pushing the boundaries of AI and robotics, and a proven track record in machine learning, this role offers the opportunity to make significant impacts in an innovative field. + + + + +About the Organization: Join a renowned leader in the field of artificial intelligence, celebrated for its breakthroughs in robotics and machine learning technologies. Recognized as one of the top startups by LinkedIn, this organization is at the forefront of creating robotic systems that can sense, perceive, and interact with the world around them. As a Machine Learning Engineer here, you’ll work alongside top-tier professionals in a state-of-the-art environment that fosters creativity and breakthrough innovations. + + + + +Role Overview: As a Machine Learning Engineer, you will be responsible for developing, testing, and deploying machine learning models that enhance the capabilities of robotic systems. Your work will involve close collaboration with cross-functional teams to innovate and implement solutions that solve complex problems and improve robotic functionality. This role demands a strong foundation in both theory and practical application, offering a platform to utilize cutting-edge machine learning methodologies within dynamic, real-world settings. + + + + +What We Offer You: + +A collaborative environment with access to advanced robotic platforms. +Opportunities to work on cutting-edge projects involving haptic and proprioceptive sensing technologies. +A culture that values innovation and supports your professional growth. +Competitive compensation and benefits package. + + + + +Key Responsibilities: + +Design and implement machine learning models to improve robotic perception and interaction. +Collaborate with engineers and researchers to integrate AI solutions into working prototypes. +Conduct rigorous testing and validation to ensure the efficacy and reliability of machine learning models. +Stay abreast of technological advancements in AI and robotics, bringing innovative ideas back to the team. +Mentor and provide technical guidance to less experienced team members. + + + + +This role as a Machine Learning Engineer offers a unique chance to engage deeply with the latest technologies in AI and robotics, contributing to projects that bridge the gap between theoretical research and practical application. If you are eager to be at the forefront of technological innovation and work in a dynamic, supportive environment, we would like to hear from you. + + + + +Relevant Keywords Machine Learning Engineer, robotic perception, machine learning models, AI solutions, cutting-edge technologies, innovative projects, professional growth, python, Pytorch, tensorflow, ROS. + +Show more ","
+ + + + + +
+
+

Machine Learning Engineer


Introduction to the Role: We are seeking skilled Machine Learning Engineers to take on the challenge of integrating advanced machine learning technologies into real-world robotic applications. If you have a passion for pushing the boundaries of AI and robotics, and a proven track record in machine learning, this role offers the opportunity to make significant impacts in an innovative field.


About the Organization: Join a renowned leader in the field of artificial intelligence, celebrated for its breakthroughs in robotics and machine learning technologies. Recognized as one of the top startups by LinkedIn, this organization is at the forefront of creating robotic systems that can sense, perceive, and interact with the world around them. As a Machine Learning Engineer here, you’ll work alongside top-tier professionals in a state-of-the-art environment that fosters creativity and breakthrough innovations.


Role Overview: As a Machine Learning Engineer, you will be responsible for developing, testing, and deploying machine learning models that enhance the capabilities of robotic systems. Your work will involve close collaboration with cross-functional teams to innovate and implement solutions that solve complex problems and improve robotic functionality. This role demands a strong foundation in both theory and practical application, offering a platform to utilize cutting-edge machine learning methodologies within dynamic, real-world settings.


What We Offer You:

  • A collaborative environment with access to advanced robotic platforms.
  • Opportunities to work on cutting-edge projects involving haptic and proprioceptive sensing technologies.
  • A culture that values innovation and supports your professional growth.
  • Competitive compensation and benefits package.


Key Responsibilities:

  • Design and implement machine learning models to improve robotic perception and interaction.
  • Collaborate with engineers and researchers to integrate AI solutions into working prototypes.
  • Conduct rigorous testing and validation to ensure the efficacy and reliability of machine learning models.
  • Stay abreast of technological advancements in AI and robotics, bringing innovative ideas back to the team.
  • Mentor and provide technical guidance to less experienced team members.


This role as a Machine Learning Engineer offers a unique chance to engage deeply with the latest technologies in AI and robotics, contributing to projects that bridge the gap between theoretical research and practical application. If you are eager to be at the forefront of technological innovation and work in a dynamic, supportive environment, we would like to hear from you.


Relevant Keywords Machine Learning Engineer, robotic perception, machine learning models, AI solutions, cutting-edge technologies, innovative projects, professional growth, python, Pytorch, tensorflow, ROS.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-16,[] +3924988006,https://ca.linkedin.com/jobs/view/applied-scientist-at-wayve-3924988006?position=4&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=D2vwF3P88Cm4fIUFRapQSQ%3D%3D&trk=public_jobs_jserp-result_search-card,Applied Scientist,Wayve,"Vancouver, British Columbia, Canada","Who We Are + +Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. + +Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale + +Where you will have an impact + +We are seeking an experienced researcher to be a founding member of our Vancouver team! We are prioritising someone with experience actively participating in AI projects applied to autonomous driving or similar robotics or decision-making domains, inclusive, but not limited to the following specific areas: + + +Foundation models for robotics or embodied AI +Model-free and model-based reinforcement learning +Offline reinforcement learning +Large language models +Planning with learned models, model predictive control and tree search +Imitation learning, inverse reinforcement learning and causal inference +Learned agent models: behavioural and physical models of cars, people, and other dynamic agents + + +Challenges you will own + +You'll be working on some of the world's hardest problems, and able to attack them in new ways. You'll be a key member of our diverse, cross-disciplinary team, helping teach our robots how to drive safely and comfortably in complex real-world environments. This encompasses many aspects of research across perception, prediction, planning, and control, including: + + +How to leverage our large, rich, and diverse sources of real-world driving data +How to architect our models to best employ the latest advances in foundation models, transformers, world models, etc, evaluating and incorporating state-of-the-art techniques into our workflows. +Which learning algorithms to use (e.g. reinforcement learning, behavioural cloning) +How to leverage simulation for controlled experimental insight, training data augmentation, and re-simulation +How to scale models efficiently across data, model size, and compute, while maintaining efficient deployment on the car +Collaborate with cross-functional teams to integrate research findings into scalable, production-level solutions. +You also have the potential to contribute to academic publications for top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL etc. working in a world-class team, contributing to the scientific community and establishing Wayve as a leader in the field. + + +What you will bring to Wayve + +Essential + + +Proven track record of research in one or more of the topics above demonstrated through deployed applications or publications. +Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc. +Experience bringing a machine learning research concept through the full ML development cycle +Excellent problem-solving skills and the ability to work independently as well as in a team environment. +Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. + + +Desirable: + + +Experience bringing an ML research concept through to production and at scale +PhD in Computer Science, Computer Engineering, or a related field + + +What we offer you + + +The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact +Competitive compensation and benefits +A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too +A culture that is ego-free, respectful and welcoming +A hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them + + +At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief + +DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. + + +Show more ","
+ + + + + +
+
+ Who We Are

Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly.

Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible. Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale

Where you will have an impact

We are seeking an experienced researcher to be a founding member of our Vancouver team! We are prioritising someone with experience actively participating in AI projects applied to autonomous driving or similar robotics or decision-making domains, inclusive, but not limited to the following specific areas:

  • Foundation models for robotics or embodied AI
  • Model-free and model-based reinforcement learning
  • Offline reinforcement learning
  • Large language models
  • Planning with learned models, model predictive control and tree search
  • Imitation learning, inverse reinforcement learning and causal inference
  • Learned agent models: behavioural and physical models of cars, people, and other dynamic agents

Challenges you will own

You'll be working on some of the world's hardest problems, and able to attack them in new ways. You'll be a key member of our diverse, cross-disciplinary team, helping teach our robots how to drive safely and comfortably in complex real-world environments. This encompasses many aspects of research across perception, prediction, planning, and control, including:

  • How to leverage our large, rich, and diverse sources of real-world driving data
  • How to architect our models to best employ the latest advances in foundation models, transformers, world models, etc, evaluating and incorporating state-of-the-art techniques into our workflows.
  • Which learning algorithms to use (e.g. reinforcement learning, behavioural cloning)
  • How to leverage simulation for controlled experimental insight, training data augmentation, and re-simulation
  • How to scale models efficiently across data, model size, and compute, while maintaining efficient deployment on the car
  • Collaborate with cross-functional teams to integrate research findings into scalable, production-level solutions.
  • You also have the potential to contribute to academic publications for top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL etc. working in a world-class team, contributing to the scientific community and establishing Wayve as a leader in the field.

What you will bring to Wayve

Essential

  • Proven track record of research in one or more of the topics above demonstrated through deployed applications or publications.
  • Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc.
  • Experience bringing a machine learning research concept through the full ML development cycle
  • Excellent problem-solving skills and the ability to work independently as well as in a team environment.
  • Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.

Desirable:

  • Experience bringing an ML research concept through to production and at scale
  • PhD in Computer Science, Computer Engineering, or a related field

What we offer you

  • The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
  • Competitive compensation and benefits
  • A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
  • A culture that is ego-free, respectful and welcoming
  • A hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3977056107,https://ca.linkedin.com/jobs/view/intermediate-front-end-developer-at-algaecal-inc-3977056107?position=5&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=CdFFhTpGcHyAXGKUZqcL3w%3D%3D&trk=public_jobs_jserp-result_search-card,Intermediate Front End Developer,AlgaeCal Inc.,"Vancouver, British Columbia, Canada","Web Wizard: Your coding is clearer than a crystal ball. You can squish bugs like a crazed entomologist. And your design solutions are more elegant than an Italian countess.  + +If that sounds like you AND you love a fun, collaborative workday where you get to help gazillions of people transform their lives; let's talk!  + +AlgaeCal is looking for an Intermediate Front End Developer to bring their wizardry to our fun-loving Dev team. + +Small print here ⇒ We're an eCommerce company. So, we want you to have eCommerce experience. Lots of it. So if you don't love digital marketing the way Elon loves Elon, you probably shouldn't read any further.  + +Still here? Okay then... + +This job will give you ALL the feels: + +At AlgaeCal, we're driven by a single idea. To end the fear of bone loss. In the United States, an estimated 54 million people have low bone density.  + +The good news? AlgaeCal has the world's only clinically-backed natural solution to this problem. We give hope to everyone worried about bone loss. If that excites you, you'll find no better place to continue your career than at AlgaeCal.  + +You'll love it here: + +You'll be working with a great team. The developers at AlgaeCal have been there, done that, and got the t-shirt. They've written more code than Alan Turing. They've learned more programming languages than C3PO. They've immersed themselves in so many development tasks that they've had to be pulled out of the Matrix by their ankles on a Friday evening. And the best part? They're friendly, funny, and easy to work with. +You'll use your powers for good. This isn't one of those jobs that crush your soul with mindless tasks. On the contrary! You'll be working on a wide range of applications that helps spread a powerful message - bone loss is beatable.  +You won't be micromanaged. We'll give you a simple set of KPIs with crystal clear expectations. +We don't have mattresses at the office (Seriously Elon, what's up with that?!?). You'll be relieved to know this isn't one of those Silicon Valley gigs that expects you to work ridiculously long hours and frowns upon family time. We're not like that! We enjoy our life, and we want you to enjoy yours too.  + +This job might be for you if you've got... + +A resume that wows us. We expect you'll have proven front-end web development skills. +2+ years of experience in a software development role would be preferred. You'll be able to provide us with examples of your work in a wide variety of coding niches. +An encyclopedic knowledge of Semantic HTML, Javascript (> ES 2016), CSS & Sass.  +We'd also love you to have worked with jQuery, Handlebars.js, Liquid, React, and Vue. +A yoda-like ability to develop and deploy features for our WordPress blog and website templates. +A portfolio that demonstrates your mastery of all-things dev. Sorry, but if you have to Google ‘Bitbucket'; or you've never heard of ‘AWS', this isn't the position for you.  +Next level bug resolving skills. In fact, you're so good at dealing with bugs you should probably be deployed on a mission to Klendathu. + + +If you're reading this and thinking, ""Wow, that sounds exactly like me!"" We would love to hear from you. If it doesn't, no worries! We're only seeking candidates who will immediately light up this role.  + +What Will You Earn?  + +Our Intermediate Front End Developer position starts at $70,000 and can go up to $85,000 depending on your experience. If your salary expectations differ from this range, let us know!  + +Other Goodies + +A generous healthcare package +Monthly team events and activities +Flexible Stat Holidays with the option to bank days for later use +Weekly team lunches +Hybrid work environment (we work from home 2 days a week) +Casual dress code +Incredible dog friendly, Yaletown office one block from SkyTrain +Professional Development: You'll get the opportunity to attend professional development conferences or workshops that will enhance your skills, expand your network, and drive your career forward with our support! And of course, we'll cover your fees, accommodation, travel, meals, and any related materials or resources.   + +And above all, you'll join a team that you'll never want to leave. Culture is everything to us. Yes, we work extremely hard to change as many people's lives as possible. But we know how to have fun and reward ourselves too.  + +How To Apply + +So, do you have what it takes to become the next member of team AlgaeCal? + +Job opportunities like this don't come along often, and we've got a lot to offer our successful applicant. So, to make sure our future Intermediate Front End Developer is the real-deal, will be a great fit, and will thrive at AlgaeCal, we ask a little more than your run-of-the-mill job application: + +If this sounds like a position for you, please respond to this advertisement with your resume and cover letter. Please, read carefully: + +1. Write a cover letter addressing: + +Why you're the best Intermediate Front End Developer for this role. Give quantifiable examples of related achievements. +Describe why you fit perfectly with our values. Read them here: https://drive.google.com/file/d/1deCCJZ6tiDiOSlr_W0UdCuM_V_ahzPBs/view +What's the toughest challenge you've ever overcome in your life? How did you overcome it? +What are the last three books you've read? +What do you do for fun? + +2. Explain what you're doing now for a job: + + If you don't have one, explain why. + If you have one, explain why you're looking elsewhere. + +This cover letter is your opportunity to showcase your skills. Don't waste it! + +3. Upload your cover letter and resume: + +Ensure that your cover letter and resume are saved and sent as one file. + +Yes, our hiring process is challenging, but it's our way of selecting the best--and your way of ensuring your AlgaeCal teammates are tops. + +Click the ""Apply Now"" button on this page and upload your cover letter and resume. + +***Note: Please include your cover letter WITH your resume in one document. + +Applications without a cover letter will not be read! + +We are looking to hire as soon as we find the right person, so act quickly and you can also expect a prompt response. + +Show more ","
+ + + + + +
+
+

Web Wizard: Your coding is clearer than a crystal ball. You can squish bugs like a crazed entomologist. And your design solutions are more elegant than an Italian countess. 

If that sounds like you AND you love a fun, collaborative workday where you get to help gazillions of people transform their lives; let's talk! 

AlgaeCal is looking for an Intermediate Front End Developer to bring their wizardry to our fun-loving Dev team.

Small print here ⇒ We're an eCommerce company. So, we want you to have eCommerce experience. Lots of it. So if you don't love digital marketing the way Elon loves Elon, you probably shouldn't read any further. 

Still here? Okay then...

This job will give you ALL the feels:

At AlgaeCal, we're driven by a single idea. To end the fear of bone loss. In the United States, an estimated 54 million people have low bone density. 

The good news? AlgaeCal has the world's only clinically-backed natural solution to this problem. We give hope to everyone worried about bone loss. If that excites you, you'll find no better place to continue your career than at AlgaeCal. 

You'll love it here:

  • You'll be working with a great team. The developers at AlgaeCal have been there, done that, and got the t-shirt. They've written more code than Alan Turing. They've learned more programming languages than C3PO. They've immersed themselves in so many development tasks that they've had to be pulled out of the Matrix by their ankles on a Friday evening. And the best part? They're friendly, funny, and easy to work with.
  • You'll use your powers for good. This isn't one of those jobs that crush your soul with mindless tasks. On the contrary! You'll be working on a wide range of applications that helps spread a powerful message - bone loss is beatable. 
  • You won't be micromanaged. We'll give you a simple set of KPIs with crystal clear expectations.
  • We don't have mattresses at the office (Seriously Elon, what's up with that?!?). You'll be relieved to know this isn't one of those Silicon Valley gigs that expects you to work ridiculously long hours and frowns upon family time. We're not like that! We enjoy our life, and we want you to enjoy yours too. 

This job might be for you if you've got...

  • A resume that wows us. We expect you'll have proven front-end web development skills.
  • 2+ years of experience in a software development role would be preferred. You'll be able to provide us with examples of your work in a wide variety of coding niches.
  • An encyclopedic knowledge of Semantic HTML, Javascript (> ES 2016), CSS & Sass. 
  • We'd also love you to have worked with jQuery, Handlebars.js, Liquid, React, and Vue.
  • A yoda-like ability to develop and deploy features for our WordPress blog and website templates.
  • A portfolio that demonstrates your mastery of all-things dev. Sorry, but if you have to Google ‘Bitbucket'; or you've never heard of ‘AWS', this isn't the position for you. 
  • Next level bug resolving skills. In fact, you're so good at dealing with bugs you should probably be deployed on a mission to Klendathu.

If you're reading this and thinking, ""Wow, that sounds exactly like me!"" We would love to hear from you. If it doesn't, no worries! We're only seeking candidates who will immediately light up this role. 

What Will You Earn? 

Our Intermediate Front End Developer position starts at $70,000 and can go up to $85,000 depending on your experience. If your salary expectations differ from this range, let us know! 

Other Goodies

  • A generous healthcare package
  • Monthly team events and activities
  • Flexible Stat Holidays with the option to bank days for later use
  • Weekly team lunches
  • Hybrid work environment (we work from home 2 days a week)
  • Casual dress code
  • Incredible dog friendly, Yaletown office one block from SkyTrain
  • Professional Development: You'll get the opportunity to attend professional development conferences or workshops that will enhance your skills, expand your network, and drive your career forward with our support! And of course, we'll cover your fees, accommodation, travel, meals, and any related materials or resources.  

And above all, you'll join a team that you'll never want to leave. Culture is everything to us. Yes, we work extremely hard to change as many people's lives as possible. But we know how to have fun and reward ourselves too. 

How To Apply

So, do you have what it takes to become the next member of team AlgaeCal?

Job opportunities like this don't come along often, and we've got a lot to offer our successful applicant. So, to make sure our future Intermediate Front End Developer is the real-deal, will be a great fit, and will thrive at AlgaeCal, we ask a little more than your run-of-the-mill job application:

If this sounds like a position for you, please respond to this advertisement with your resume and cover letter. Please, read carefully:

1. Write a cover letter addressing:

  • Why you're the best Intermediate Front End Developer for this role. Give quantifiable examples of related achievements.
  • Describe why you fit perfectly with our values. Read them here: https://drive.google.com/file/d/1deCCJZ6tiDiOSlr_W0UdCuM_V_ahzPBs/view
  • What's the toughest challenge you've ever overcome in your life? How did you overcome it?
  • What are the last three books you've read?
  • What do you do for fun?
  • 2. Explain what you're doing now for a job:

  •  If you don't have one, explain why.
  •  If you have one, explain why you're looking elsewhere.
  • This cover letter is your opportunity to showcase your skills. Don't waste it!

    3. Upload your cover letter and resume:

  • Ensure that your cover letter and resume are saved and sent as one file.
  • Yes, our hiring process is challenging, but it's our way of selecting the best--and your way of ensuring your AlgaeCal teammates are tops.

    Click the ""Apply Now"" button on this page and upload your cover letter and resume.

    ***Note: Please include your cover letter WITH your resume in one document.

    Applications without a cover letter will not be read!

    We are looking to hire as soon as we find the right person, so act quickly and you can also expect a prompt response.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-15,[] +3986890724,https://ca.linkedin.com/jobs/view/data-scientist-at-darkvision-3986890724?position=6&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=o6pxkn9YiXYoQV26ztsbtQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,DarkVision,"Vancouver, British Columbia, Canada","Your Job + +Part of Koch Engineered Solutions, DarkVision's ultrasound system gathers immense datasets, potentially hundreds of gigabytes long, while detecting for defects as small as a few millimeters. Automated processing, measurement, classification, and visualization algorithms are crucial due to the time-consuming and inconsistent nature of manual processing. + +As a Data Scientist, you will be an essential part of the Machine Learning team and Innovation team. You will be responsible for the development and management of end-to-end image processing pipelines that integrate with deep learning architectures to produce client facing reports. + +This position is on-site, with flexible work hours. + +Our Team + +With the largest ultrasound datasets globally, DarkVision's Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures. + +What You Will Do + + +Data Pipeline Architecture: Design and build robust data pipelines, ensuring scalability, reliability, and efficiency. +Production-Grade Code: Develop high-quality, production-level Python code for data processing, analysis, and modeling. +Version Control: Utilize GitHub for version control and collaboration on code repositories. +Information Visualization: Create compelling reports and 3D visualizations tailored for client-facing presentations to VPs and C-suite executives. +Database Familiarity: Work with a variety of databases and object stores for data storage, manipulation, and retrieval. +Cloud Computing: Implement cloud computing solutions with a focus on supporting and optimizing data pipelines. + + +Opportunities To Learn And Work On + + +State-of-the-art deep learning technologies and pipelines. +Work in an interdisciplinary team. + + +Who You Are (Basic Qualifications) + + +Bachelor's degree in computer science, statistics, mathematics, or another STEM field. +Industry experience as a data scientist. +Professional experience in SQL and Python programming writing production-grade code. +Understanding of software engineering principles and experience developing production-grade code for data analysis, ETL, or Machine Learning pipelines. +Knowledge of data analysis, data pipelining, and data visualization tools and techniques. +Experience with cloud data ecosystems, ideally AWS. + + +What Will Put You Ahead + + +Intermediate to senior level industry experience. +Master's degree or PhD. +Experience developing data pipelines using orchestration tools such as prefect, airflow, dagster, Kubeflow, etc. +Experience with 3D data visualization tools and techniques. +Experience analyzing and developing image-based data applications. +Experience developing conventional or machine learning Computer Vision algorithms. +Experience implementing unit tests and contributing to continuous integration and continuous deployment (CI/CD) pipelines. +Excellent communication and collaboration skills. + + +General Salary Range + +For this role, we anticipate paying $100,000 - $160,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form. + +At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. + +Who We Are + +DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world's most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets. + +Backed by Koch Industries, one of the world's largest privately held companies, DarkVision's team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company's current and upcoming products. + +We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging. + +At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. + +Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. + +How To Apply + +If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted. + +We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage. + +Successful candidates will be required to complete a criminal background check. + + +Show more ","
    + + + + + +
    +
    + Your Job

    Part of Koch Engineered Solutions, DarkVision's ultrasound system gathers immense datasets, potentially hundreds of gigabytes long, while detecting for defects as small as a few millimeters. Automated processing, measurement, classification, and visualization algorithms are crucial due to the time-consuming and inconsistent nature of manual processing.

    As a Data Scientist, you will be an essential part of the Machine Learning team and Innovation team. You will be responsible for the development and management of end-to-end image processing pipelines that integrate with deep learning architectures to produce client facing reports.

    This position is on-site, with flexible work hours.

    Our Team

    With the largest ultrasound datasets globally, DarkVision's Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures.

    What You Will Do

    • Data Pipeline Architecture: Design and build robust data pipelines, ensuring scalability, reliability, and efficiency.
    • Production-Grade Code: Develop high-quality, production-level Python code for data processing, analysis, and modeling.
    • Version Control: Utilize GitHub for version control and collaboration on code repositories.
    • Information Visualization: Create compelling reports and 3D visualizations tailored for client-facing presentations to VPs and C-suite executives.
    • Database Familiarity: Work with a variety of databases and object stores for data storage, manipulation, and retrieval.
    • Cloud Computing: Implement cloud computing solutions with a focus on supporting and optimizing data pipelines.

    Opportunities To Learn And Work On

    • State-of-the-art deep learning technologies and pipelines.
    • Work in an interdisciplinary team.

    Who You Are (Basic Qualifications)

    • Bachelor's degree in computer science, statistics, mathematics, or another STEM field.
    • Industry experience as a data scientist.
    • Professional experience in SQL and Python programming writing production-grade code.
    • Understanding of software engineering principles and experience developing production-grade code for data analysis, ETL, or Machine Learning pipelines.
    • Knowledge of data analysis, data pipelining, and data visualization tools and techniques.
    • Experience with cloud data ecosystems, ideally AWS.

    What Will Put You Ahead

    • Intermediate to senior level industry experience.
    • Master's degree or PhD.
    • Experience developing data pipelines using orchestration tools such as prefect, airflow, dagster, Kubeflow, etc.
    • Experience with 3D data visualization tools and techniques.
    • Experience analyzing and developing image-based data applications.
    • Experience developing conventional or machine learning Computer Vision algorithms.
    • Experience implementing unit tests and contributing to continuous integration and continuous deployment (CI/CD) pipelines.
    • Excellent communication and collaboration skills.

    General Salary Range

    For this role, we anticipate paying $100,000 - $160,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

    At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

    Who We Are

    DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world's most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.

    Backed by Koch Industries, one of the world's largest privately held companies, DarkVision's team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company's current and upcoming products.

    We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.

    At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

    Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

    How To Apply

    If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.

    We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.

    Successful candidates will be required to complete a criminal background check.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3975317062,https://ca.linkedin.com/jobs/view/machine-learning-scientist-1-year-contract-at-darkvision-3975317062?position=7&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=wZBJiqGbRa2u7nSBzuXVbw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Scientist (1 Year Contract),DarkVision,"North Vancouver, British Columbia, Canada","Your Job + +DarkVision, part of Koch Engineered Solutions, is looking for an intermediate to senior level Machine Learning Scientist. DarkVision’s ultrasound imaging asset inspection system collects huge datasets in the order of hundreds of gigabytes that are several kilometers long where a defect may be on the order of a few millimetres. It is essential that we develop algorithms for automated processing, measuring, classification, and visualization of this data since manual processing is both time consuming and inconsistent. + + + + +As a Machine Learning Scientist, you will be involved in researching, designing, and implementing deep learning architectures that learn efficient generalizable representations for several vision-based tasks. You will report to our Vice President of Research & Innovation and be responsible for developing machine learning pipelines for continuous training, evaluation, and deployment of deep learning models. You will also help mentor other members of our ML team. + + + + +Our management process is light and generally milestone driven, using pseudo-Agile sprints derived from our quarterly and yearly goals. All goals are internally generated with plenty of room for feedback. + + + + +This is a temporary position with a 1-year term. It is on-site in our HQ in North Vancouver, BC. + + + + +Our Team + +With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures. + + + + +What You Will Do + +Research: Rapid model prototyping, training, and deployment of state-of-the-art deep learning models to solve large-scale industrial problems. You will be investigating image classification, object detection, instance segmentation, semantic segmentation, anomaly detection, and other bespoke tasks for processing industrial ultrasonic array data. +Pipeline: Work with our ML Ops team to build cloud-based pipelines for large-scale image pre-processing, data-augmentation, training, post-processing, and inference. +Deploy: Work with the Software Development Team to deploy model in production for its end-users. +Monitor: Continuously monitor success matrices of the assigned ML project and make continuous improvements for increasing model robustness and efficiency. +Data Analysis: Work closely with our Data Analysts to explore, analyze, and organize data; perform data extraction and preprocessing for training and evaluation purposes. +Document: Document model architecture, training details, dataset extraction, and cleaning procedures for reproducibility, product management, and internal training. + + + + +Opportunities to Learn + +Applying deep learning to real world industrial datasets containing billions of images. +Exploration of the state-of-the-art methodologies in computer vision like self-supervised learning and unsupervised learning for the purpose of non-destructive testing. +Exposure to full ML lifecycle and orchestration management tools like Prefect, Kubeflow, AWS SageMaker, Weights, and Biases. +Converting ideas into intellectual property assets (e.g. patents). + + + + +Who You Are (Basic Qualifications) + +Experience developing deep learning models for computer vision tasks. +Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or a ML/AI related field; PhD preferred. +Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, JAX, etc. + + + + +What Will Put You Ahead + +Experience with medical or industrial ultrasound images for deep learning-related projects. +Experience in deep learning projects for industrial non-destructive testing. +Experience leading and mentoring ML engineers and ML scientists. +Hands-on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GPC Vertex AI, etc. +Hands-on experience with orchestration tools like Kubeflow, Prefect, Airflow, etc. +Working knowledge of Git, Docker, and cloud services like AWS and GPC. +Publications in top tier venues likes CVPR, ICCV, etc. +Great communicator with excellent data presentation, and report writing skills. +Be able to work in a fast-paced, self-driven environment. + + + + +General Salary Range + +For this role, we anticipate paying $130,000 - $180,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form. + + + + +At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. + + + + +Who We Are + +DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world’s most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets. + + + + +Backed by Koch Industries, one of the world’s largest privately held companies, DarkVision’s team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company’s current and upcoming products. + + + + +We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging. + + + + +At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. + + + + +Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. + + + + +How To Apply + +If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted. + + + + +We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage. + + + + +Successful candidates will be required to complete a criminal background check. + + + + +Keywords: machine learning, ML, deep learning, DL, computer vision, imaging, image processing, ultrasound, ultrasonic, non-destructive testing, NDT, NDE, industrial, PyTorch, Tensorflow + +Show more ","
    + + + + + +
    +
    +

    Your Job

    DarkVision, part of Koch Engineered Solutions, is looking for an intermediate to senior level Machine Learning Scientist. DarkVision’s ultrasound imaging asset inspection system collects huge datasets in the order of hundreds of gigabytes that are several kilometers long where a defect may be on the order of a few millimetres. It is essential that we develop algorithms for automated processing, measuring, classification, and visualization of this data since manual processing is both time consuming and inconsistent.


    As a Machine Learning Scientist, you will be involved in researching, designing, and implementing deep learning architectures that learn efficient generalizable representations for several vision-based tasks. You will report to our Vice President of Research & Innovation and be responsible for developing machine learning pipelines for continuous training, evaluation, and deployment of deep learning models. You will also help mentor other members of our ML team.


    Our management process is light and generally milestone driven, using pseudo-Agile sprints derived from our quarterly and yearly goals. All goals are internally generated with plenty of room for feedback.


    This is a temporary position with a 1-year term. It is on-site in our HQ in North Vancouver, BC.


    Our Team

    With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures.


    What You Will Do

    • Research: Rapid model prototyping, training, and deployment of state-of-the-art deep learning models to solve large-scale industrial problems. You will be investigating image classification, object detection, instance segmentation, semantic segmentation, anomaly detection, and other bespoke tasks for processing industrial ultrasonic array data.
    • Pipeline: Work with our ML Ops team to build cloud-based pipelines for large-scale image pre-processing, data-augmentation, training, post-processing, and inference.
    • Deploy: Work with the Software Development Team to deploy model in production for its end-users.
    • Monitor: Continuously monitor success matrices of the assigned ML project and make continuous improvements for increasing model robustness and efficiency.
    • Data Analysis: Work closely with our Data Analysts to explore, analyze, and organize data; perform data extraction and preprocessing for training and evaluation purposes.
    • Document: Document model architecture, training details, dataset extraction, and cleaning procedures for reproducibility, product management, and internal training.


    Opportunities to Learn

    • Applying deep learning to real world industrial datasets containing billions of images.
    • Exploration of the state-of-the-art methodologies in computer vision like self-supervised learning and unsupervised learning for the purpose of non-destructive testing.
    • Exposure to full ML lifecycle and orchestration management tools like Prefect, Kubeflow, AWS SageMaker, Weights, and Biases.
    • Converting ideas into intellectual property assets (e.g. patents).


    Who You Are (Basic Qualifications)

    • Experience developing deep learning models for computer vision tasks.
    • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or a ML/AI related field; PhD preferred.
    • Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, JAX, etc.


    What Will Put You Ahead

    • Experience with medical or industrial ultrasound images for deep learning-related projects.
    • Experience in deep learning projects for industrial non-destructive testing.
    • Experience leading and mentoring ML engineers and ML scientists.
    • Hands-on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GPC Vertex AI, etc.
    • Hands-on experience with orchestration tools like Kubeflow, Prefect, Airflow, etc.
    • Working knowledge of Git, Docker, and cloud services like AWS and GPC.
    • Publications in top tier venues likes CVPR, ICCV, etc.
    • Great communicator with excellent data presentation, and report writing skills.
    • Be able to work in a fast-paced, self-driven environment.


    General Salary Range

    For this role, we anticipate paying $130,000 - $180,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.


    At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.


    Who We Are

    DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world’s most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.


    Backed by Koch Industries, one of the world’s largest privately held companies, DarkVision’s team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company’s current and upcoming products.


    We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.


    At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.


    Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.


    How To Apply

    If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.


    We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.


    Successful candidates will be required to complete a criminal background check.


    Keywords: machine learning, ML, deep learning, DL, computer vision, imaging, image processing, ultrasound, ultrasonic, non-destructive testing, NDT, NDE, industrial, PyTorch, Tensorflow

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    ",2024-07-18,[] +3983543492,https://ca.linkedin.com/jobs/view/data-scientist-market-strategy-understanding-at-ipsos-north-america-3983543492?position=8&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=xa%2B1QXyO%2FCAQedj%2F%2B6bCMA%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Market Strategy & Understanding",Ipsos North America,"Vancouver, British Columbia, Canada","Job Description + +What you can expect to be doing: + +Support a diverse portfolio of projects across Ipsos NA including predictive modeling, text analytics, data mining, exploration, regression, and time series analyses. +Design, train, and utilize machine learning algorithms and data processing pipelines. +Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services. +Research and develop new solutions and deployable tools to facilitate market research. +Communicate with and provide consulting for internal teams and external clients on data models, analysis findings, process efficiency, and marketing science best practices. +Create data visualizations, reports, and sometimes dashboards. +Stay abreast of the latest data science techniques and tools available. + +This might be the job for you if you have: + +Bachelor’s degree (or equivalent) in statistics, computer science, or related field +Proficiency in Python and SQL +Strong technical communication skills +Proficiency in data mining, statistical analysis, time series analysis, and machine learning +Proficiency with data science toolkits (e.g., NumPy, Pandas, SciKit Learn, SciPy, etc.) +Experience with data visualization tools (e.g., MatPlotLib, Plotly, Tableau, D3.js, etc.) +Good time management, collaboration, and self-sufficiency skills + +Nice to haves: + +Proficiency in R, JavaScript +Experience with natural language processing, large language models, geospatial analysis, and neural networks +Experience with cloud computing platforms (AWS, GCP) +Experience with big data technologies (Spark, Hadoop, etc.) +Project management experience + +We are willing to hire from following cities in the US and Canada: + +Cincinnati, OH, United States +Chicago, IL, United States +Culver City, CA, United States +Detroit, MI, United States +New York, NY, United States +Norwalk, CT, United States +San Francisco, CA, United States +Seattle, WA, United States +Toronto, ON, Canada +Troy, MI, United States +Vancouver, BC, Canada +Washington, DC, United States + +If you don’t meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you’re applying to! + +In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $105,000 to $130,000. Your final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications. + +What’s in it for you: + +At Ipsos you’ll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture. + +To find out more about all the great reasons to work at Ipsos, how we’re making an impact around the world, and more about our benefits and employee programs, please visit: + +Why Work at Ipsos | US + +Commitment to Diversity + +Ipsos recognizes the necessity of building an inclusive culture that values each employee’s individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos’ diverse employees who compile and analyze this data—they are the essence of who we are and what we do. + +We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual. + +Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability. + +About Us + +Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years . With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we’re proud to share we’ve received our Great Place to Work Certification in 2022 & 2023! + +About The Team + +The Market Strategy & Understanding (MSU) Service Line performs strategic research to deliver contextual understanding to help clients navigate dynamic markets. Our offer portfolio consists of strategic brand research as well as category & consumer fundamentals. We work with clients to understand the size and composition of a market as well as the segments/profiles/demand spaces therein. We also specialize in brand equity, brand assets, brand stretch and open category opportunities (e.g. whitespace). + +Show more ","
    + + + + + +
    +
    +

    Job Description

    What you can expect to be doing:

    • Support a diverse portfolio of projects across Ipsos NA including predictive modeling, text analytics, data mining, exploration, regression, and time series analyses.
    • Design, train, and utilize machine learning algorithms and data processing pipelines.
    • Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services.
    • Research and develop new solutions and deployable tools to facilitate market research.
    • Communicate with and provide consulting for internal teams and external clients on data models, analysis findings, process efficiency, and marketing science best practices.
    • Create data visualizations, reports, and sometimes dashboards.
    • Stay abreast of the latest data science techniques and tools available.

    This might be the job for you if you have:

    • Bachelor’s degree (or equivalent) in statistics, computer science, or related field
    • Proficiency in Python and SQL
    • Strong technical communication skills
    • Proficiency in data mining, statistical analysis, time series analysis, and machine learning
    • Proficiency with data science toolkits (e.g., NumPy, Pandas, SciKit Learn, SciPy, etc.)
    • Experience with data visualization tools (e.g., MatPlotLib, Plotly, Tableau, D3.js, etc.)
    • Good time management, collaboration, and self-sufficiency skills

    Nice to haves:

    • Proficiency in R, JavaScript
    • Experience with natural language processing, large language models, geospatial analysis, and neural networks
    • Experience with cloud computing platforms (AWS, GCP)
    • Experience with big data technologies (Spark, Hadoop, etc.)
    • Project management experience

    We are willing to hire from following cities in the US and Canada:

    • Cincinnati, OH, United States
    • Chicago, IL, United States
    • Culver City, CA, United States
    • Detroit, MI, United States
    • New York, NY, United States
    • Norwalk, CT, United States
    • San Francisco, CA, United States
    • Seattle, WA, United States
    • Toronto, ON, Canada
    • Troy, MI, United States
    • Vancouver, BC, Canada
    • Washington, DC, United States

    If you don’t meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you’re applying to!

    In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $105,000 to $130,000. Your final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications.

    What’s in it for you:

    At Ipsos you’ll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.

    To find out more about all the great reasons to work at Ipsos, how we’re making an impact around the world, and more about our benefits and employee programs, please visit:

    Why Work at Ipsos | US

    Commitment to Diversity

    Ipsos recognizes the necessity of building an inclusive culture that values each employee’s individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos’ diverse employees who compile and analyze this data—they are the essence of who we are and what we do.

    We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual.

    Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.

    About Us

    Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years . With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we’re proud to share we’ve received our Great Place to Work Certification in 2022 & 2023!

    About The Team

    The Market Strategy & Understanding (MSU) Service Line performs strategic research to deliver contextual understanding to help clients navigate dynamic markets. Our offer portfolio consists of strategic brand research as well as category & consumer fundamentals. We work with clients to understand the size and composition of a market as well as the segments/profiles/demand spaces therein. We also specialize in brand equity, brand assets, brand stretch and open category opportunities (e.g. whitespace).

    +
    + + + + + + + + + + + + + + + + + + +
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    ",2024-07-24,[] +3980768949,https://ca.linkedin.com/jobs/view/mobile-application-developer-at-altea-healthcare-3980768949?position=13&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=FvHn6ZnKckR5a%2Fi%2FdqI9Ng%3D%3D&trk=public_jobs_jserp-result_search-card,Mobile Application Developer,Altea Healthcare,"Vancouver, British Columbia, Canada","Job Summary + +We are seeking experienced Mobile App Developers to join our team. The ideal candidate will have a strong background in developing mobile applications using React Native and Typescript, with a thorough understanding of Redux for state management and RESTful APIs for backend communication. This role is perfect for someone who is looking to take their career to the next level and contribute to impactful projects. + +Key Responsibilities + +Develop and maintain mobile applications using React Native and Typescript. +Implement state management using Redux. +Integrate and manage RESTful APIs to connect the app with backend services. +Collaborate with cross-functional teams to define, design, and ship new features. +Write clean, maintainable, and testable code. +Troubleshoot and debug application issues to ensure optimal performance. +Participate in code reviews to maintain high-quality code standards. +Stay up-to-date with the latest industry trends and technologies to ensure the application remains modern and competitive. + +Qualifications + +Experience Level: Intermediate to Senior +Required Skills: +Proficiency in React Native and Typescript. +Strong understanding of Redux for state management. +Experience with RESTful API integration. +Preferred Skills: +Experience with iOS/Android native development. +Experience with other cross-platform mobile development framework: Flutter or Xamarin.Forms(NET MAUI) +Knowledge of cloud services, particularly Azure or AWS. +Prior experience in the healthcare industry is a significant plus. + + + + +Seniority Level +Not Applicable +Industry +Hospitals and Health Care +Employment Type +Full-time +Job Functions +Information Technology +Engineering +Skills +React Native +TypeScript +Show more ","
    + + + + + +
    +
    +

    Job Summary

    We are seeking experienced Mobile App Developers to join our team. The ideal candidate will have a strong background in developing mobile applications using React Native and Typescript, with a thorough understanding of Redux for state management and RESTful APIs for backend communication. This role is perfect for someone who is looking to take their career to the next level and contribute to impactful projects.

    Key Responsibilities

    • Develop and maintain mobile applications using React Native and Typescript.
    • Implement state management using Redux.
    • Integrate and manage RESTful APIs to connect the app with backend services.
    • Collaborate with cross-functional teams to define, design, and ship new features.
    • Write clean, maintainable, and testable code.
    • Troubleshoot and debug application issues to ensure optimal performance.
    • Participate in code reviews to maintain high-quality code standards.
    • Stay up-to-date with the latest industry trends and technologies to ensure the application remains modern and competitive.

    Qualifications

    • Experience Level: Intermediate to Senior
    • Required Skills:
    • Proficiency in React Native and Typescript.
    • Strong understanding of Redux for state management.
    • Experience with RESTful API integration.
    • Preferred Skills:
    • Experience with iOS/Android native development.
    • Experience with other cross-platform mobile development framework: Flutter or Xamarin.Forms(NET MAUI)
    • Knowledge of cloud services, particularly Azure or AWS.
    • Prior experience in the healthcare industry is a significant plus.


    • Seniority Level
    • Not Applicable
    • Industry
    • Hospitals and Health Care
    • Employment Type
    • Full-time
    • Job Functions
    • Information Technology
    • Engineering
    • Skills
    • React Native
    • TypeScript
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    + +
    ",2024-07-23,[] +3985112073,https://ca.linkedin.com/jobs/view/software-engineer-at-bloom-recruitment-inc-3985112073?position=14&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=NPY2g2vMNOMqxdvT7qF4iQ%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer,Bloom Recruitment Inc,"Richmond, British Columbia, Canada","Bloom Recruitment is in search of an L3/L4 Software Engineer for our client located in Richmond, BC. They specialize in seamlessly integrating advanced software with state-of-the-art hardware, creating cutting-edge camera technologies. They are dedicated to enhancing their product line with robust mobile and tablet applications for both iOS and Android platforms. They’re committed to delivering exceptional products designed to save lives and improve safety. Their team is driven by a culture of innovation, excellence, and a relentless pursuit of technical growth. + + + + +You will play a pivotal role in driving the development of next-generation tools and technologies. This position is crucial as they expand their capabilities and continue to innovate at the forefront of the industry. You will be deeply involved in designing and implementing complex software solutions that integrate seamlessly with their hardware, contributing to products that are not only innovative but also vital in life-saving situations. This role offers the opportunity to challenge and expand your skills in a dynamic, mission-driven environment. + + + + +Key Responsibilities: + +Design and develop high-performance mobile applications for iOS and Android platforms using both native and cross-platform frameworks. +Optimize application performance, including multi-threading and low-level networking, to ensure smooth and efficient operation. +Develop and optimize algorithms to enhance graphical performance and overall application functionality. +Collaborate with a team to define, design, and ship new features +Identify and resolve technical challenges, ensuring the stability and scalability of applications. +Work in tandem with hardware and electronics team to design and integrate new products + +Essential Skills: + +BS/MS in Computing Science, similar field or 3-5 years equivalent work experience +Experience with at least one of following: Kotlin, Swift, C, Typescript +Strong experience in native mobile development on Android and iOS platforms. +Solid understanding of multi-threading, data structures, and performance-critical application development +Expertise in TCP/IP networking and low-level networking protocols. +Experience with media streaming technologies and protocols, such as GStreamer, RTP, RTSP, and HLS. +Proficient in GPU rendering techniques and shader programming (Vulkan, OpenGL). +Excellent communication skills; able to share thoughts and ideas clearly in code and writing + + + + +Preferred Skills: + +Experience with Cross platform frameworks such as React Native +Functional Understanding of React Native architecture +Familiarity with declarative UI frameworks like Jetpack Compose or SwiftUI. +Open source contributions are a big plus! + + + + +Why This Team? + +Lead the development of groundbreaking tools with state-of-the-art technologies +Contribute to the creation of life-saving products, making a significant and meaningful impact +Grow into senior engineering roles with increasing responsibility and complexity +Join a team that prioritizes innovation, quality, and excellence in hardware-software integration. + + + + +Additional Information: + +Permanent, Full-Time (36 hours/week, Monday to Thursday). +Full Time In office. +Located in Richmond. Onsite parking is provided. +Probation Period: 3 months +Benefits (health, dental, and life insurance) after probation. +Language: English +Show more ","
    + + + + + +
    +
    +

    Bloom Recruitment is in search of an L3/L4 Software Engineer for our client located in Richmond, BC. They specialize in seamlessly integrating advanced software with state-of-the-art hardware, creating cutting-edge camera technologies. They are dedicated to enhancing their product line with robust mobile and tablet applications for both iOS and Android platforms. They’re committed to delivering exceptional products designed to save lives and improve safety. Their team is driven by a culture of innovation, excellence, and a relentless pursuit of technical growth.


    You will play a pivotal role in driving the development of next-generation tools and technologies. This position is crucial as they expand their capabilities and continue to innovate at the forefront of the industry. You will be deeply involved in designing and implementing complex software solutions that integrate seamlessly with their hardware, contributing to products that are not only innovative but also vital in life-saving situations. This role offers the opportunity to challenge and expand your skills in a dynamic, mission-driven environment.


    Key Responsibilities:

    • Design and develop high-performance mobile applications for iOS and Android platforms using both native and cross-platform frameworks.
    • Optimize application performance, including multi-threading and low-level networking, to ensure smooth and efficient operation.
    • Develop and optimize algorithms to enhance graphical performance and overall application functionality.
    • Collaborate with a team to define, design, and ship new features
    • Identify and resolve technical challenges, ensuring the stability and scalability of applications.
    • Work in tandem with hardware and electronics team to design and integrate new products

    Essential Skills:

    • BS/MS in Computing Science, similar field or 3-5 years equivalent work experience
    • Experience with at least one of following: Kotlin, Swift, C, Typescript
    • Strong experience in native mobile development on Android and iOS platforms.
    • Solid understanding of multi-threading, data structures, and performance-critical application development
    • Expertise in TCP/IP networking and low-level networking protocols.
    • Experience with media streaming technologies and protocols, such as GStreamer, RTP, RTSP, and HLS.
    • Proficient in GPU rendering techniques and shader programming (Vulkan, OpenGL).
    • Excellent communication skills; able to share thoughts and ideas clearly in code and writing


    Preferred Skills:

    • Experience with Cross platform frameworks such as React Native
    • Functional Understanding of React Native architecture
    • Familiarity with declarative UI frameworks like Jetpack Compose or SwiftUI.
    • Open source contributions are a big plus!


    Why This Team?

    • Lead the development of groundbreaking tools with state-of-the-art technologies
    • Contribute to the creation of life-saving products, making a significant and meaningful impact
    • Grow into senior engineering roles with increasing responsibility and complexity
    • Join a team that prioritizes innovation, quality, and excellence in hardware-software integration.


    Additional Information:

    • Permanent, Full-Time (36 hours/week, Monday to Thursday).
    • Full Time In office.
    • Located in Richmond. Onsite parking is provided.
    • Probation Period: 3 months
    • Benefits (health, dental, and life insurance) after probation.
    • Language: English
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3983190345,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-acceler8-talent-3983190345?position=16&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=GVBRFsQWJ7dMS3QBhhPcQw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Acceler8 Talent,"Vancouver, British Columbia, Canada","Robotics Machine Learning Engineer Opportunity: + + + + +We are looking for a Machine Learning Engineer to join our team of seasoned engineers, researchers, and scientists. As a Machine Learning Engineer, you will be responsible for crafting and deploying innovative algorithms, rigorously testing them in both simulated environments and real-world scenarios. + + + + +In Your New Role as a Machine Learning Engineer: + +Collaborate and Innovate: As a Machine Learning Engineer, you will work with cross-functional teams to identify opportunities for applying machine learning techniques to complex problems. +Design and Develop: Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges. +Optimize Solutions: Implement scalable and efficient software solutions to integrate machine learning models into production systems. +Test and Validate: Conduct thorough testing and validation of machine learning models to ensure robustness and reliability. +Stay Current: Stay updated on the latest developments in machine learning and communicate promising research directions to the team. +Mentor and Guide: Provide technical guidance and mentorship to junior team members. + + + + +What We’re Looking for in a Machine Learning Engineer: + +Educational Background: A Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. +Experience: 3+ years of demonstrated experience with a variety of ML methods, focusing on areas such as dexterous manipulation, computer vision for robotics, or natural language processing. +Software Engineering: 4+ years of experience in software engineering, with a focus on developing and deploying production-grade applications. +Technical Skills: Working experience with ROS2, parallel computing technologies (e.g., CUDA, OpenMP), and machine learning frameworks (e.g., TensorFlow, PyTorch). +Production Experience: Experience taking ML models to production and hands-on experience with cloud platforms (e.g., AWS, Azure) is a plus. +Publications: Publications in leading AI, ML, or robotics conferences are highly desirable. + + + + +Skills Required for the Machine Learning Engineer Role: + +Programming Proficiency: Strong proficiency in Python or C++. +ML Techniques: Extensive knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing. +Frameworks: Working knowledge of PyTorch and/or TensorFlow. +Problem-Solving: Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. +Communication: Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. + + + + +Traits of an Ideal Machine Learning Engineer: + +Positive Attitude: A consistently positive attitude and a willingness to tackle complex problems with robust solutions. +Listening and Resolution: Optimistic listening and conflict resolution capabilities. +Influence: Demonstrated ability to influence others without authority. +Tenacity: Eagerness to take on new challenges with persistence and positivity. +Attention to Detail: Patience and attention to detail when resolving performance issues. +Passion: An obsession with bringing human-like intelligence to machines. + + + + +Benefits: + +Medical/Dental/Vision Coverage +Life Insurance and Wellness Programs +Stock Options +Paid Time Off: 3 weeks of vacation annually, paid statutory holidays, sick leave, and parental leave. +Flexibility: Scheduling and worksite flexibility based on role. + +Show more ","
    + + + + + +
    +
    +

    Robotics Machine Learning Engineer Opportunity:


    We are looking for a Machine Learning Engineer to join our team of seasoned engineers, researchers, and scientists. As a Machine Learning Engineer, you will be responsible for crafting and deploying innovative algorithms, rigorously testing them in both simulated environments and real-world scenarios.


    In Your New Role as a Machine Learning Engineer:

    • Collaborate and Innovate: As a Machine Learning Engineer, you will work with cross-functional teams to identify opportunities for applying machine learning techniques to complex problems.
    • Design and Develop: Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
    • Optimize Solutions: Implement scalable and efficient software solutions to integrate machine learning models into production systems.
    • Test and Validate: Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.
    • Stay Current: Stay updated on the latest developments in machine learning and communicate promising research directions to the team.
    • Mentor and Guide: Provide technical guidance and mentorship to junior team members.


    What We’re Looking for in a Machine Learning Engineer:

    • Educational Background: A Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
    • Experience: 3+ years of demonstrated experience with a variety of ML methods, focusing on areas such as dexterous manipulation, computer vision for robotics, or natural language processing.
    • Software Engineering: 4+ years of experience in software engineering, with a focus on developing and deploying production-grade applications.
    • Technical Skills: Working experience with ROS2, parallel computing technologies (e.g., CUDA, OpenMP), and machine learning frameworks (e.g., TensorFlow, PyTorch).
    • Production Experience: Experience taking ML models to production and hands-on experience with cloud platforms (e.g., AWS, Azure) is a plus.
    • Publications: Publications in leading AI, ML, or robotics conferences are highly desirable.


    Skills Required for the Machine Learning Engineer Role:

    • Programming Proficiency: Strong proficiency in Python or C++.
    • ML Techniques: Extensive knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
    • Frameworks: Working knowledge of PyTorch and/or TensorFlow.
    • Problem-Solving: Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
    • Communication: Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.


    Traits of an Ideal Machine Learning Engineer:

    • Positive Attitude: A consistently positive attitude and a willingness to tackle complex problems with robust solutions.
    • Listening and Resolution: Optimistic listening and conflict resolution capabilities.
    • Influence: Demonstrated ability to influence others without authority.
    • Tenacity: Eagerness to take on new challenges with persistence and positivity.
    • Attention to Detail: Patience and attention to detail when resolving performance issues.
    • Passion: An obsession with bringing human-like intelligence to machines.


    Benefits:

    • Medical/Dental/Vision Coverage
    • Life Insurance and Wellness Programs
    • Stock Options
    • Paid Time Off: 3 weeks of vacation annually, paid statutory holidays, sick leave, and parental leave.
    • Flexibility: Scheduling and worksite flexibility based on role.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3921091695,https://ca.linkedin.com/jobs/view/data-scientist-at-clio-cloud-based-legal-technology-3921091695?position=17&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=BDcoysJrsEXpRCD9zJjIDQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Clio - Cloud-Based Legal Technology,"Vancouver, British Columbia, Canada","Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. + +Summary: + +We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams. + +You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products. + +The team: + +You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate. + +Who you are: + +We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is: + + +Passionate about driving growth empirically; +Always looking to innovate with data and explore open-ended questions; +Strategically minded and never shies away from a challenge; +Self-motivated and able to work autonomously and collaboratively; +Agile and responsive, and comfortable with constant change. + + +You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives. + +What you'll work on: + + +Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth. +Suggest new questions about our business, product, and customers that lead to impactful insights. +Work with other team members to develop predictive AI and ML solutions and deploy them in production. +Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives. +Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities. +Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example. +Effectively communicate complex technical concepts and findings to both technical and non-technical audiences. + + +What you may have: + + +3+ years applied experience in data science. +The ability to translate business requirements into data science solutions. +Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn) +Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively. +Excellent written and verbal communication skills. +Ability to write structured SQL queries for answering questions and manipulating data. + + +Serious bonus points if you have: + + +Understanding of SaaS business metrics and growth drivers. +Experience with FinTech concepts. +Experience in analytics working with product and user behavior data, e.g., retention or churn analysis +Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow) +Experience with large data sets and user behavior data. +Experience with NLP and LLMs. +A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering) + + +What you will find here: + +Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. + +Some highlights of our Total Rewards program include: + + +Competitive, equitable salary with top-tier health benefits, dental, and vision insurance +Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day. +Flexible time off policy, with an encouraged 20 days off per year. +$2000 annual counseling benefit +RRSP matching and RESP contribution +Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years + + +The expected salary range* for this role is $106,500 to $144,200 CAD. Please note there are a separate set of salary bands for other regions based on local currency. + + +Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate. + + +Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility + +Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. + +Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. + +Learn more about our culture at clio.com/careers +Show more ","
    + + + + + +
    +
    + Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

    Summary:

    We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams.

    You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products.

    The team:

    You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate.

    Who you are:

    We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

    • Passionate about driving growth empirically;
    • Always looking to innovate with data and explore open-ended questions;
    • Strategically minded and never shies away from a challenge;
    • Self-motivated and able to work autonomously and collaboratively;
    • Agile and responsive, and comfortable with constant change.

    You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.

    What you'll work on:

    • Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth.
    • Suggest new questions about our business, product, and customers that lead to impactful insights.
    • Work with other team members to develop predictive AI and ML solutions and deploy them in production.
    • Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives.
    • Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities.
    • Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.
    • Effectively communicate complex technical concepts and findings to both technical and non-technical audiences.

    What you may have:

    • 3+ years applied experience in data science.
    • The ability to translate business requirements into data science solutions.
    • Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
    • Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
    • Excellent written and verbal communication skills.
    • Ability to write structured SQL queries for answering questions and manipulating data.

    Serious bonus points if you have:

    • Understanding of SaaS business metrics and growth drivers.
    • Experience with FinTech concepts.
    • Experience in analytics working with product and user behavior data, e.g., retention or churn analysis
    • Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow)
    • Experience with large data sets and user behavior data.
    • Experience with NLP and LLMs.
    • A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering)

    What you will find here:

    Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

    Some highlights of our Total Rewards program include:

    • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
    • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day.
    • Flexible time off policy, with an encouraged 20 days off per year.
    • $2000 annual counseling benefit
    • RRSP matching and RESP contribution
    • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

    The expected salary range* for this role is $106,500 to $144,200 CAD. Please note there are a separate set of salary bands for other regions based on local currency.

    • Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

    Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

    Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

    Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

    Learn more about our culture at clio.com/careers +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-04,[] +3898169033,https://ca.linkedin.com/jobs/view/computer-vision-developer-at-clearvision-technologies-inc-3898169033?position=18&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=QIavCmlporsVIR3ss7%2BJKw%3D%3D&trk=public_jobs_jserp-result_search-card,Computer Vision Developer,"ClearVision Technologies, Inc.","Vancouver, British Columbia, Canada","ClearVision is involved in the design and manufacture of machine vision systems for quality control. Our primary customers are manufacturers in the paper, carton, and corrugated box industries. We assemble industrial cameras, sensors, our own lighting and control systems, industrial PCs, and touchscreen interfaces to create a complete inspection system. We then integrate this product with our customers' machinery on site. + + + + +Our camera systems inspect various high-speed processes including glue application, flexographic printing, barcoding, and braille dot embossing. Manufacturing and worldwide sales for the ClearVision brand are now handled by our parent company, Valco Melton, in Cincinnati, Ohio. This allows the ClearVision location in Mt. Pleasant, Vancouver to function as a design office focused on R&D, prototyping, and software development. + + + + +About the Position: + + + + +ClearVision will give you the opportunity to be an important member of a dynamic multi-disciplinary design team. The Computer Vision Developer will create and improve Machine Vision algorithms for new and existing products. The position consists of the full development cycle from concept to development, to field testing and deployment. + + + + +The position will also involve direct communication with the field service engineers, writing basic documentation and providing office hours support to customers and field service engineers. + + + + +Some travel is expected for this position to assist with product development. You will work with the ClearVision team in Vancouver as well as with Valco Melton engineers around the world. ClearVision has a social and supportive work environment with organized lunches and other employee events. + + + + +Duties & Responsibilities: + + + + +Development of Machine Vision algorithms that are efficient and robust. +Working with other Software and Mechatronics developers to produce a comprehensive quality assurance solution. +Testing of algorithms in an industrial environment. + + + + +Required Experience: + + + + +4+ years of Machine Vision programming experience. +2+ years working in industry. +2+ years of either C++ or C# experience. +2+ years of OpenCV experience. +2+ years of Machine Learning. + + + + +Required Competencies: + + + + +Ability to create reliable machine vision algorithms that work well under varying lighting and imaging conditions. +Ability to use creative ideas to design fast and well-optimized algorithms. +Ability to create and train datasets to produce robust models that can be deployed to customer sites. + + + + +Preferred Competencies: + + + + +Visual Studio. +Git, source code revision control. +Lighting and imaging understanding. + + + + +Preferred Personal Skills: + + + + +Good communication skills. +Willingness to travel. +Good troubleshooting and problem solving. +Customer oriented. +Driver's license class 5. + + + + +Education: + + + + +Bachelor’s degree in engineering- or science-related field. +Master’s degree preferred. +Show more ","
    + + + + + +
    +
    +

    ClearVision is involved in the design and manufacture of machine vision systems for quality control. Our primary customers are manufacturers in the paper, carton, and corrugated box industries. We assemble industrial cameras, sensors, our own lighting and control systems, industrial PCs, and touchscreen interfaces to create a complete inspection system. We then integrate this product with our customers' machinery on site.


    Our camera systems inspect various high-speed processes including glue application, flexographic printing, barcoding, and braille dot embossing. Manufacturing and worldwide sales for the ClearVision brand are now handled by our parent company, Valco Melton, in Cincinnati, Ohio. This allows the ClearVision location in Mt. Pleasant, Vancouver to function as a design office focused on R&D, prototyping, and software development.


    About the Position:


    ClearVision will give you the opportunity to be an important member of a dynamic multi-disciplinary design team. The Computer Vision Developer will create and improve Machine Vision algorithms for new and existing products. The position consists of the full development cycle from concept to development, to field testing and deployment.


    The position will also involve direct communication with the field service engineers, writing basic documentation and providing office hours support to customers and field service engineers.


    Some travel is expected for this position to assist with product development. You will work with the ClearVision team in Vancouver as well as with Valco Melton engineers around the world. ClearVision has a social and supportive work environment with organized lunches and other employee events.


    Duties & Responsibilities:


    • Development of Machine Vision algorithms that are efficient and robust.
    • Working with other Software and Mechatronics developers to produce a comprehensive quality assurance solution.
    • Testing of algorithms in an industrial environment.


    Required Experience:


    • 4+ years of Machine Vision programming experience.
    • 2+ years working in industry.
    • 2+ years of either C++ or C# experience.
    • 2+ years of OpenCV experience.
    • 2+ years of Machine Learning.


    Required Competencies:


    • Ability to create reliable machine vision algorithms that work well under varying lighting and imaging conditions.
    • Ability to use creative ideas to design fast and well-optimized algorithms.
    • Ability to create and train datasets to produce robust models that can be deployed to customer sites.


    Preferred Competencies:


    • Visual Studio.
    • Git, source code revision control.
    • Lighting and imaging understanding.


    Preferred Personal Skills:


    • Good communication skills.
    • Willingness to travel.
    • Good troubleshooting and problem solving.
    • Customer oriented.
    • Driver's license class 5.


    Education:


    • Bachelor’s degree in engineering- or science-related field.
    • Master’s degree preferred.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-11,[] +3977229168,https://ca.linkedin.com/jobs/view/full-stack-engineer-at-plexus-resource-solutions-3977229168?position=19&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=icDxGlDCwy5DvX7RGcFMFg%3D%3D&trk=public_jobs_jserp-result_search-card,Full Stack Engineer,Plexus Resource Solutions,"Vancouver, British Columbia, Canada","Fullstack Engineer - $110k-$150k (Canadian) - Hybrid (Vancouver) + + + + + + + +Plexus has partnered with a pioneering data infrastructure company. We are on the look for a talented Fullstack Engineer (Backend weighted) to help build out the product and be a part of a talented team of Web3 engineers + + + + +Responsibilities + +Building out the product +Work in 2-week blocks - must be dynamic +Take responsibility for helping decide strategic direction + +Requirement + +Node.js, SQL, Familiarity with RPC +5 Years Engineering +1+ Years Crypto + +Benefits + +$110-150k (Canadian) +Potential Equity +Large Tokens when live + +Show more ","
    + + + + + +
    +
    +

    Fullstack Engineer - $110k-$150k (Canadian) - Hybrid (Vancouver)



    Plexus has partnered with a pioneering data infrastructure company. We are on the look for a talented Fullstack Engineer (Backend weighted) to help build out the product and be a part of a talented team of Web3 engineers


    Responsibilities

    • Building out the product
    • Work in 2-week blocks - must be dynamic
    • Take responsibility for helping decide strategic direction

    Requirement

    • Node.js, SQL, Familiarity with RPC
    • 5 Years Engineering
    • 1+ Years Crypto

    Benefits

    • $110-150k (Canadian)
    • Potential Equity
    • Large Tokens when live

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-17,[] +3984737620,https://ca.linkedin.com/jobs/view/full-stack-developer-at-thought-shop-creative-inc-3984737620?position=20&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=%2FOOmyCGYn%2BDWr83mzQvmNQ%3D%3D&trk=public_jobs_jserp-result_search-card,Full Stack Developer,Thought Shop Creative Inc,"Vancouver, British Columbia, Canada","About the Company: + +We are a dynamic branding and marketing agency that specializes in crafting visual identities and impactful marketing campaigns for real estate developments throughout BC. With a passion for thinking outside the box, we thrive in fast-paced environments and are dedicated to delivering quality service and innovative solutions. + + + + +Job Description: + +As a Full Stack Developer at Thought Shop, you will play a crucial role in building websites using the latest technologies. You will work closely with a team of talented individuals, including designers and other developers, to create a seamless user experience. Your expertise in React, Next.js, and Firebase will be essential in developing robust and scalable applications. + + + + +Responsibilities: + +Collaborate with the team to design, develop, and maintain web and mobile applications using React, Next.js, and Firebase. +Write clean, maintainable, and efficient code while adhering to best practices and coding standards. +Participate in the entire application lifecycle, from concept and design to testing and deployment. +Conduct thorough testing and debugging to ensure the quality and performance of the applications. +Work closely with designers to implement intuitive and visually appealing user interfaces. +Optimize applications for maximum speed and scalability. +Stay up-to-date with emerging technologies and industry trends, and propose innovative solutions to enhance our products. + + + + +Requirements: + +Proven experience as a Full Stack Developer, specifically with React, Next.js, and Firebase. +Strong proficiency in JavaScript, HTML, CSS, and related web technologies. +Experience in building responsive web and mobile applications. +Experience in database design and system architecture +Familiarity with RESTful APIs and integration of external services. +Solid understanding of software development principles, including Agile methodologies. +Excellent problem-solving and analytical skills. +Ability to work effectively in a collaborative team environment. +Good communication skills, both verbal and written. +Self-motivated and able to work independently, with a proactive and positive attitude. + + + + +Benefits: + +Competitive salary and benefits package. +Professional development opportunities to enhance your skills and knowledge. +Flexible work hours and a supportive work culture. + + + + +If you are a highly motivated Full Stack Developer with expertise in React, Next.js, and Firebase, and you are excited about joining a dynamic startup, we would love to hear from you. Please submit your resume and a cover letter detailing your relevant experience and why you are interested in this position. + +Show more ","
    + + + + + +
    +
    +

    About the Company:

    We are a dynamic branding and marketing agency that specializes in crafting visual identities and impactful marketing campaigns for real estate developments throughout BC. With a passion for thinking outside the box, we thrive in fast-paced environments and are dedicated to delivering quality service and innovative solutions.


    Job Description:

    As a Full Stack Developer at Thought Shop, you will play a crucial role in building websites using the latest technologies. You will work closely with a team of talented individuals, including designers and other developers, to create a seamless user experience. Your expertise in React, Next.js, and Firebase will be essential in developing robust and scalable applications.


    Responsibilities:

    • Collaborate with the team to design, develop, and maintain web and mobile applications using React, Next.js, and Firebase.
    • Write clean, maintainable, and efficient code while adhering to best practices and coding standards.
    • Participate in the entire application lifecycle, from concept and design to testing and deployment.
    • Conduct thorough testing and debugging to ensure the quality and performance of the applications.
    • Work closely with designers to implement intuitive and visually appealing user interfaces.
    • Optimize applications for maximum speed and scalability.
    • Stay up-to-date with emerging technologies and industry trends, and propose innovative solutions to enhance our products.


    Requirements:

    • Proven experience as a Full Stack Developer, specifically with React, Next.js, and Firebase.
    • Strong proficiency in JavaScript, HTML, CSS, and related web technologies.
    • Experience in building responsive web and mobile applications.
    • Experience in database design and system architecture
    • Familiarity with RESTful APIs and integration of external services.
    • Solid understanding of software development principles, including Agile methodologies.
    • Excellent problem-solving and analytical skills.
    • Ability to work effectively in a collaborative team environment.
    • Good communication skills, both verbal and written.
    • Self-motivated and able to work independently, with a proactive and positive attitude.


    Benefits:

    • Competitive salary and benefits package.
    • Professional development opportunities to enhance your skills and knowledge.
    • Flexible work hours and a supportive work culture.


    If you are a highly motivated Full Stack Developer with expertise in React, Next.js, and Firebase, and you are excited about joining a dynamic startup, we would love to hear from you. Please submit your resume and a cover letter detailing your relevant experience and why you are interested in this position.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3984563069,https://ca.linkedin.com/jobs/view/senior-machine-learning-engineer-at-klue-3984563069?position=23&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=0hLOUE%2BPv2wzV0Tz43ozaQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer,Klue,"Vancouver, British Columbia, Canada","We are looking for Senior Machine Learning Engineers to work with our team to deliver high quality products in the most efficient way. + +We build machine learning services and data pipelines to automatically extract insights about competitors from both public and internal data sources. Every day, our services process millions of data points, including news articles, press releases, webpage changes, Slack posts, emails, reviews, CRM opportunities, and user actions. We utilize a broad array of ML techniques, including classification, clustering, recommendation, summarization, prompt engineering, vector search, and retrieval augmented generation. + +💡Klue + You? + +Q: Klue who? + +A: We’re Klue and from a technical perspective, Klue’s mission is to descale huge amounts of data to the human level, so people can process it and make use of it. Klue is that trusted intermediary, right now it’s proven for sales enablement, but tomorrow it’s all teams enablement. + +Q: What level of experience are we looking for? + +A: Right now, we are looking for experienced senior-level Machine Learning Engineers. + +Q: What are we working on? + +A: Services for collecting, processing and generating timely, relevant intel that is accurately linked to competitors, products, industries, and people. Our Machine Learning Engineers are primarily focused on the training, evaluation, and deployment of models to label, score, cluster, and generate insights. + +Q: What technologies do we use? + +A: Python, Transformers, Pytorch, Hugging Face, Spacy, Sklearn, Pinecone, Kubeflow, Vertex AI, BentoML, Aporia, JS, PostgreSQL, Elasticsearch, Redis, GCP, BigQuery, Docker/Kubernetes, Github, GPT. + +We believe in using whatever tools make sense to get the job done and support our game-changing innovation. + +Q: What skills do you bring? + + +A: You are an expert on the landscape of transformer models and are proficient with popular ML frameworks such as PyTorch, Hugging Face, or Scikit-Learn. +You stay up to date on recent advances with LLMs and you demonstrate astute judgment in deciding whether to train a model with a custom architecture or leverage GPT. +You ensure your experiments are reproducible, balancing swift discovery with scientific rigor. +You are proficient in designing, implementing, and deploying RESTful APIs and you have experience with (non)relational and vector databases. +You demonstrate good judgment when making architectural decisions and you understand how those decisions fit into the bigger picture. + + +Q: How do teams work? + + +Hybrid. Best of both worlds (remote & in-office) +Our main Canadian hubs are in Vancouver and Toronto, and most of our teams are located in EST and PST. +You and your team will be in office at least 2 days per week. + + +Q: What about total compensation & benefits? + + +Benefits. We currently have extended health benefits starting on your 1st day. +Time off. Take what you need. We want the team to prioritize wellness and avoid burnout. Vacation usually falls into 3 categories: recharging, life-event, & keeping a work-life balance. Just ensure the required work gets done and clear it with your team in advance. You need to take at least two weeks off every year. The average Klue team member takes 2-4 weeks of PTO per year. + + +⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ + +Lastly, we take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application. Reach out and let’s see if there is a home here for you now or in the future. + +We’ve made a commitment to support and contribute to a diverse environment; on our teams and in our community. We’re early in our journey; we've started employee led resource groups, committed to Pay Up For Progress, and use success profiles for roles instead of 'years of experience'. We continue to scale our efforts as Klue grows. We’re proud to be an equal opportunity employer and have dedicated that commitment to our current and future #kluecrew. During the interview process, please let us know if there is anything we need to make more accessible or accommodate to support you to be successful. + +All interviews will be conducted via video calls. We work in a hybrid model of WFH (remote) and in-office. We’re excited to meet you and in the meantime, get to know us: + +🌈 Pay Up For Progress & 50 - 30 Challenge & Klue Blog + +✅✅ Win-Loss Acquisition (2023) + +🅰️ Series A (2020) + +🐅 Series B (2021) + +🏆 Culture, culture, culture! + +🎧 Winning as Women & Competitive Enablement Show + +🔍 Glassdoor + +🐝 About Us + +🐥 Twitter + +📸 Instagram + +☕️ LinkedIn + +🦄 Wellfound (AngelList) + +Compensation Range: CA$180K - CA$200K +Show more ","
    + + + + + +
    +
    + We are looking for Senior Machine Learning Engineers to work with our team to deliver high quality products in the most efficient way.

    We build machine learning services and data pipelines to automatically extract insights about competitors from both public and internal data sources. Every day, our services process millions of data points, including news articles, press releases, webpage changes, Slack posts, emails, reviews, CRM opportunities, and user actions. We utilize a broad array of ML techniques, including classification, clustering, recommendation, summarization, prompt engineering, vector search, and retrieval augmented generation.

    💡Klue + You?

    Q: Klue who?

    A: We’re Klue and from a technical perspective, Klue’s mission is to descale huge amounts of data to the human level, so people can process it and make use of it. Klue is that trusted intermediary, right now it’s proven for sales enablement, but tomorrow it’s all teams enablement.

    Q: What level of experience are we looking for?

    A: Right now, we are looking for experienced senior-level Machine Learning Engineers.

    Q: What are we working on?

    A: Services for collecting, processing and generating timely, relevant intel that is accurately linked to competitors, products, industries, and people. Our Machine Learning Engineers are primarily focused on the training, evaluation, and deployment of models to label, score, cluster, and generate insights.

    Q: What technologies do we use?

    A: Python, Transformers, Pytorch, Hugging Face, Spacy, Sklearn, Pinecone, Kubeflow, Vertex AI, BentoML, Aporia, JS, PostgreSQL, Elasticsearch, Redis, GCP, BigQuery, Docker/Kubernetes, Github, GPT.

    We believe in using whatever tools make sense to get the job done and support our game-changing innovation.

    Q: What skills do you bring?

    • A: You are an expert on the landscape of transformer models and are proficient with popular ML frameworks such as PyTorch, Hugging Face, or Scikit-Learn.
    • You stay up to date on recent advances with LLMs and you demonstrate astute judgment in deciding whether to train a model with a custom architecture or leverage GPT.
    • You ensure your experiments are reproducible, balancing swift discovery with scientific rigor.
    • You are proficient in designing, implementing, and deploying RESTful APIs and you have experience with (non)relational and vector databases.
    • You demonstrate good judgment when making architectural decisions and you understand how those decisions fit into the bigger picture.

    Q: How do teams work?

    • Hybrid. Best of both worlds (remote & in-office)
    • Our main Canadian hubs are in Vancouver and Toronto, and most of our teams are located in EST and PST.
    • You and your team will be in office at least 2 days per week.

    Q: What about total compensation & benefits?

    • Benefits. We currently have extended health benefits starting on your 1st day.
    • Time off. Take what you need. We want the team to prioritize wellness and avoid burnout. Vacation usually falls into 3 categories: recharging, life-event, & keeping a work-life balance. Just ensure the required work gets done and clear it with your team in advance. You need to take at least two weeks off every year. The average Klue team member takes 2-4 weeks of PTO per year.

    ⬇️ ⬇️ ⬇️ ⬇️ ⬇️ ⬇️

    Lastly, we take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application. Reach out and let’s see if there is a home here for you now or in the future.

    We’ve made a commitment to support and contribute to a diverse environment; on our teams and in our community. We’re early in our journey; we've started employee led resource groups, committed to Pay Up For Progress, and use success profiles for roles instead of 'years of experience'. We continue to scale our efforts as Klue grows. We’re proud to be an equal opportunity employer and have dedicated that commitment to our current and future #kluecrew. During the interview process, please let us know if there is anything we need to make more accessible or accommodate to support you to be successful.

    All interviews will be conducted via video calls. We work in a hybrid model of WFH (remote) and in-office. We’re excited to meet you and in the meantime, get to know us:

    🌈 Pay Up For Progress & 50 - 30 Challenge & Klue Blog

    ✅✅ Win-Loss Acquisition (2023)

    🅰️ Series A (2020)

    🐅 Series B (2021)

    🏆 Culture, culture, culture!

    🎧 Winning as Women & Competitive Enablement Show

    🔍 Glassdoor

    🐝 About Us

    🐥 Twitter

    📸 Instagram

    ☕️ LinkedIn

    🦄 Wellfound (AngelList)

    Compensation Range: CA$180K - CA$200K +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-25,[] +3984586268,https://ca.linkedin.com/jobs/view/data-science-co-op-fall-2024-at-later-3984586268?position=24&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=PcSkSkJG9cnSHXeN4isJXQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Co-op (Fall 2024),Later,"Vancouver, British Columbia, Canada","Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool. + +We're trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest. + +In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity. We're now on a mission to build the world's first Social Revenue Platform. + +Later will be the first inclusive platform where social media managers, influencer managers, and creators can come together to collaborate on content. We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI. + +As a trusted partner and go-to source for social media advice, we help create an engaged community for reliable performance and repeatable growth. + +About this position: + +Later is looking for a full-time co-op starting September 2024 to help support the product team; you will be working on new product features and having a meaningful impact on the company. If you enjoy tackling challenges, learning about new technologies, thinking of creative solutions, and sometimes blazing a new trail, we want to talk to you. This position is the perfect opportunity for you to learn and grow. + +Technical Qualifications: + + +In the 3rd year of statistics, computer science, math, physics, economics, or other technical undergraduate program; consideration may be given to graduate students as well. Creative thinker, fast learner, good grades. +Strong coding ability in R and/or Python, passionate about data science and the technology industry. Some experience with SQL is a plus. +Experience with and technical understanding of statistical modeling & machine learning techniques. +Experience with big data/deploying models into production is a plus (Spark, AWS, Docker, Flask, plumber). +A passion for social media (Instagram, TikTok, Pinterest, etc.) is a big plus. + + +We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply! + + +A passion for data science - you care about performing unbiased & rigorous analysis. +Excellent problem-solving skills - you come with not only creative solutions but also understand the right questions that need to be asked when needed. +Strong customer service orientation - everything we do is in service of our clients. +Business acumen - making sure your work is practical and useful +Strong communication skills - we are a team, we expect you to work collaboratively across all functions. You will have constant communication with non-technical stakeholders. +Ability to excel in a fast-paced, agile environment where critical thinking and strong problem solving skills are imperative. + + +Application Process: + +If you think you would be a fit, we'd love to hear from you. Please submit your resume, cover letter, and an unofficial transcript - please highlight relevant courses or other academic achievements, competitions etc. And if you have a personal portfolio or Git account, send us the links so we can see how you shine. + +Our approach to compensation: + +We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. + +Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. + +To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. + +Additionally, all permanent team members are granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package. + +Salary Range: $3,500 per month + +Some perks of being on our team: + + +Flexible PTO: We want you to take the time off when you want or need to recharge! +Learning & Development: We provide growth opportunities through training, coaching, mentorship programs, and workshops. +Parental benefits: We offer parental leave top-ups, family forming support, and a life-transitions program to ensure you and your family are well supported when returning to work. +Healthcare: Our comprehensive benefits package includes health, dental, vision, STD & LTD, 401k contribution plans (US-based employees), and an Employee and Family Assistance Program to support the well-being of you and your family. +Employee Resource Groups: Belonging is an important part of doing your best work. These ERGs provide support and community for employees. +Co-op team members are not eligible for company benefits. + + +Where we work + +We hire into our hub cities of Boston, MA; Vancouver, BC; Toronto, ON. We also have team members based remotely for select positions. We post our positions in the hub location(s) where we are open to having the successful candidate be located. + +Diversity, inclusion, and accessibility + +We value diversity of thought; we are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process. + + +Show more ","
    + + + + + +
    +
    + Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool.

    We're trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest.

    In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity. We're now on a mission to build the world's first Social Revenue Platform.

    Later will be the first inclusive platform where social media managers, influencer managers, and creators can come together to collaborate on content. We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI.

    As a trusted partner and go-to source for social media advice, we help create an engaged community for reliable performance and repeatable growth.

    About this position:

    Later is looking for a full-time co-op starting September 2024 to help support the product team; you will be working on new product features and having a meaningful impact on the company. If you enjoy tackling challenges, learning about new technologies, thinking of creative solutions, and sometimes blazing a new trail, we want to talk to you. This position is the perfect opportunity for you to learn and grow.

    Technical Qualifications:

    • In the 3rd year of statistics, computer science, math, physics, economics, or other technical undergraduate program; consideration may be given to graduate students as well. Creative thinker, fast learner, good grades.
    • Strong coding ability in R and/or Python, passionate about data science and the technology industry. Some experience with SQL is a plus.
    • Experience with and technical understanding of statistical modeling & machine learning techniques.
    • Experience with big data/deploying models into production is a plus (Spark, AWS, Docker, Flask, plumber).
    • A passion for social media (Instagram, TikTok, Pinterest, etc.) is a big plus.

    We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!

    • A passion for data science - you care about performing unbiased & rigorous analysis.
    • Excellent problem-solving skills - you come with not only creative solutions but also understand the right questions that need to be asked when needed.
    • Strong customer service orientation - everything we do is in service of our clients.
    • Business acumen - making sure your work is practical and useful
    • Strong communication skills - we are a team, we expect you to work collaboratively across all functions. You will have constant communication with non-technical stakeholders.
    • Ability to excel in a fast-paced, agile environment where critical thinking and strong problem solving skills are imperative.

    Application Process:

    If you think you would be a fit, we'd love to hear from you. Please submit your resume, cover letter, and an unofficial transcript - please highlight relevant courses or other academic achievements, competitions etc. And if you have a personal portfolio or Git account, send us the links so we can see how you shine.

    Our approach to compensation:

    We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

    Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

    To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.

    Additionally, all permanent team members are granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package.

    Salary Range: $3,500 per month

    Some perks of being on our team:

    • Flexible PTO: We want you to take the time off when you want or need to recharge!
    • Learning & Development: We provide growth opportunities through training, coaching, mentorship programs, and workshops.
    • Parental benefits: We offer parental leave top-ups, family forming support, and a life-transitions program to ensure you and your family are well supported when returning to work.
    • Healthcare: Our comprehensive benefits package includes health, dental, vision, STD & LTD, 401k contribution plans (US-based employees), and an Employee and Family Assistance Program to support the well-being of you and your family.
    • Employee Resource Groups: Belonging is an important part of doing your best work. These ERGs provide support and community for employees.
    • Co-op team members are not eligible for company benefits.

    Where we work

    We hire into our hub cities of Boston, MA; Vancouver, BC; Toronto, ON. We also have team members based remotely for select positions. We post our positions in the hub location(s) where we are open to having the successful candidate be located.

    Diversity, inclusion, and accessibility

    We value diversity of thought; we are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-25,[] +3967492222,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-visionaire-partners-3967492222?position=28&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=OwnBagNmUCys98hB17EUWA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Visionaire Partners,"Vancouver, British Columbia, Canada","Senior Data Scientist + + + + +This is a tremendous opportunity for a Senior Data Scientist to join a dynamic technology company developing innovative AI solutions to automate business processes. + + + + +RESPONSIBILITIES: + +Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks. +Conduct and validate model performance through comprehensive evaluation metrics. +Analyze large datasets to extract actionable insights and trends. +Implement machine learning models into production environments ensuring scalability and reliability. +Monitor and maintain the performance of deployed models, making updates and improvements as necessary. +Work closely with data engineer and Principal ML engineer. +Stay updated with the latest advancements in machine learning, AI, and data science. + +This opportunity is a direct hire position in Vancouver. You can usually work remotely and only need to come into the office for important team meetings. This is an exciting opportunity to work on innovative AI automation projects at a growing technology firm. + +REQUIRED SKILLS: + +3+ years' as a Data Scientist with a strong understanding of MLOps including ML algorithms and experience deploying ML models/solutions to production environments +Python development experience +Experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, Scikit-Learn, etc.) +Knowledge of database technologies (such as SQL, MongoDB, Databricks) and data pipeline tools. +Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation. +Familiar with cloud platforms (such as AWS, GCP, Azure) and containerization (Docker or Kubernetes). +Ability to stay updated with the latest advancements in machine learning, AI, and data science. +Self-managed and motivated +Excellent communication skills + +PREFERRED SKILLS: + +Experience building an enterprise-class business automation solution +Large Language Models (LLM) +Azure + + + + +Must be authorized to work in the US. Sponsorships are not available. + +Show more ","
    + + + + + +
    +
    +

    Senior Data Scientist


    This is a tremendous opportunity for a Senior Data Scientist to join a dynamic technology company developing innovative AI solutions to automate business processes.


    RESPONSIBILITIES:

    • Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks.
    • Conduct and validate model performance through comprehensive evaluation metrics.
    • Analyze large datasets to extract actionable insights and trends.
    • Implement machine learning models into production environments ensuring scalability and reliability.
    • Monitor and maintain the performance of deployed models, making updates and improvements as necessary.
    • Work closely with data engineer and Principal ML engineer.
    • Stay updated with the latest advancements in machine learning, AI, and data science.

    This opportunity is a direct hire position in Vancouver. You can usually work remotely and only need to come into the office for important team meetings. This is an exciting opportunity to work on innovative AI automation projects at a growing technology firm.

    REQUIRED SKILLS:

    • 3+ years' as a Data Scientist with a strong understanding of MLOps including ML algorithms and experience deploying ML models/solutions to production environments
    • Python development experience
    • Experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, Scikit-Learn, etc.)
    • Knowledge of database technologies (such as SQL, MongoDB, Databricks) and data pipeline tools.
    • Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation.
    • Familiar with cloud platforms (such as AWS, GCP, Azure) and containerization (Docker or Kubernetes).
    • Ability to stay updated with the latest advancements in machine learning, AI, and data science.
    • Self-managed and motivated
    • Excellent communication skills

    PREFERRED SKILLS:

    • Experience building an enterprise-class business automation solution
    • Large Language Models (LLM)
    • Azure


    Must be authorized to work in the US. Sponsorships are not available.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-09,[] +3975314595,https://ca.linkedin.com/jobs/view/machine-learning-scientist-at-darkvision-3975314595?position=29&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=ICqVHNMN9RS6B3xnoDk4FA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Scientist,DarkVision,"North Vancouver, British Columbia, Canada","Your Job + +DarkVision, part of Koch Engineered Solutions, is looking for an intermediate to senior level Machine Learning Scientist. DarkVision’s ultrasound imaging asset inspection system collects huge datasets in the order of hundreds of gigabytes that are several kilometers long where a defect may be on the order of a few millimetres. It is essential that we develop algorithms for automated processing, measuring, classification, and visualization of this data since manual processing is both time consuming and inconsistent. + + + + +As a Machine Learning Scientist, you will be involved in researching, designing, and implementing deep learning architectures that learn efficient generalizable representations for several vision-based tasks. You will report to our Vice President of Research & Innovation and be responsible for developing machine learning pipelines for continuous training, evaluation, and deployment of deep learning models. You will also help mentor other members of our ML team. + + + + +Our management process is light and generally milestone driven, using pseudo-Agile sprints derived from our quarterly and yearly goals. All goals are internally generated with plenty of room for feedback. + + + + +This is an on-site regular full-time position in our HQ in North Vancouver, BC. + + + + +Our Team + +With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures. + + + + +What You Will Do + +Research: Rapid model prototyping, training, and deployment of state-of-the-art deep learning models to solve large-scale industrial problems. You will be investigating image classification, object detection, instance segmentation, semantic segmentation, anomaly detection, and other bespoke tasks for processing industrial ultrasonic array data. +Pipeline: Work with our ML Ops team to build cloud-based pipelines for large-scale image pre-processing, data-augmentation, training, post-processing, and inference. +Deploy: Work with the Software Development Team to deploy model in production for its end-users. +Monitor: Continuously monitor success matrices of the assigned ML project and make continuous improvements for increasing model robustness and efficiency. +Data Analysis: Work closely with our Data Analysts to explore, analyze, and organize data; perform data extraction and preprocessing for training and evaluation purposes. +Document: Document model architecture, training details, dataset extraction, and cleaning procedures for reproducibility, product management, and internal training. + + + + +Opportunities to Learn + +Applying deep learning to real world industrial datasets containing billions of images. +Exploration of the state-of-the-art methodologies in computer vision like self-supervised learning and unsupervised learning for the purpose of non-destructive testing. +Exposure to full ML lifecycle and orchestration management tools like Prefect, Kubeflow, AWS SageMaker, Weights, and Biases. +Converting ideas into intellectual property assets (e.g. patents). + + + + +Who You Are (Basic Qualifications) + +Experience developing deep learning models for computer vision tasks. +Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or a ML/AI related field; PhD preferred. +Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, JAX, etc. + + + + +What Will Put You Ahead + +Experience with medical or industrial ultrasound images for deep learning-related projects. +Experience in deep learning projects for industrial non-destructive testing. +Experience leading and mentoring ML engineers and ML scientists. +Hands-on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GPC Vertex AI, etc. +Hands-on experience with orchestration tools like Kubeflow, Prefect, Airflow, etc. +Working knowledge of Git, Docker, and cloud services like AWS and GPC. +Publications in top tier venues likes CVPR, ICCV, etc. +Great communicator with excellent data presentation, and report writing skills. +Be able to work in a fast-paced, self-driven environment. + + + + +General Salary Range + +For this role, we anticipate paying $130,000 - $180,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form. + + + + +At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. + + + + +Who We Are + +DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world’s most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets. + + + + +Backed by Koch Industries, one of the world’s largest privately held companies, DarkVision’s team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company’s current and upcoming products. + + + + +We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging. + + + + +At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. + + + + +Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. + + + + +How To Apply + +If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted. + + + + +We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage. + + + + +Successful candidates will be required to complete a criminal background check. + + + + +Keywords: machine learning, ML, deep learning, DL, computer vision, imaging, image processing, ultrasound, ultrasonic, non-destructive testing, NDT, NDE, industrial, PyTorch, Tensorflow + +Show more ","
    + + + + + +
    +
    +

    Your Job

    DarkVision, part of Koch Engineered Solutions, is looking for an intermediate to senior level Machine Learning Scientist. DarkVision’s ultrasound imaging asset inspection system collects huge datasets in the order of hundreds of gigabytes that are several kilometers long where a defect may be on the order of a few millimetres. It is essential that we develop algorithms for automated processing, measuring, classification, and visualization of this data since manual processing is both time consuming and inconsistent.


    As a Machine Learning Scientist, you will be involved in researching, designing, and implementing deep learning architectures that learn efficient generalizable representations for several vision-based tasks. You will report to our Vice President of Research & Innovation and be responsible for developing machine learning pipelines for continuous training, evaluation, and deployment of deep learning models. You will also help mentor other members of our ML team.


    Our management process is light and generally milestone driven, using pseudo-Agile sprints derived from our quarterly and yearly goals. All goals are internally generated with plenty of room for feedback.


    This is an on-site regular full-time position in our HQ in North Vancouver, BC.


    Our Team

    With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures.


    What You Will Do

    • Research: Rapid model prototyping, training, and deployment of state-of-the-art deep learning models to solve large-scale industrial problems. You will be investigating image classification, object detection, instance segmentation, semantic segmentation, anomaly detection, and other bespoke tasks for processing industrial ultrasonic array data.
    • Pipeline: Work with our ML Ops team to build cloud-based pipelines for large-scale image pre-processing, data-augmentation, training, post-processing, and inference.
    • Deploy: Work with the Software Development Team to deploy model in production for its end-users.
    • Monitor: Continuously monitor success matrices of the assigned ML project and make continuous improvements for increasing model robustness and efficiency.
    • Data Analysis: Work closely with our Data Analysts to explore, analyze, and organize data; perform data extraction and preprocessing for training and evaluation purposes.
    • Document: Document model architecture, training details, dataset extraction, and cleaning procedures for reproducibility, product management, and internal training.


    Opportunities to Learn

    • Applying deep learning to real world industrial datasets containing billions of images.
    • Exploration of the state-of-the-art methodologies in computer vision like self-supervised learning and unsupervised learning for the purpose of non-destructive testing.
    • Exposure to full ML lifecycle and orchestration management tools like Prefect, Kubeflow, AWS SageMaker, Weights, and Biases.
    • Converting ideas into intellectual property assets (e.g. patents).


    Who You Are (Basic Qualifications)

    • Experience developing deep learning models for computer vision tasks.
    • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or a ML/AI related field; PhD preferred.
    • Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, JAX, etc.


    What Will Put You Ahead

    • Experience with medical or industrial ultrasound images for deep learning-related projects.
    • Experience in deep learning projects for industrial non-destructive testing.
    • Experience leading and mentoring ML engineers and ML scientists.
    • Hands-on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GPC Vertex AI, etc.
    • Hands-on experience with orchestration tools like Kubeflow, Prefect, Airflow, etc.
    • Working knowledge of Git, Docker, and cloud services like AWS and GPC.
    • Publications in top tier venues likes CVPR, ICCV, etc.
    • Great communicator with excellent data presentation, and report writing skills.
    • Be able to work in a fast-paced, self-driven environment.


    General Salary Range

    For this role, we anticipate paying $130,000 - $180,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.


    At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.


    Who We Are

    DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world’s most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.


    Backed by Koch Industries, one of the world’s largest privately held companies, DarkVision’s team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company’s current and upcoming products.


    We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.


    At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.


    Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.


    How To Apply

    If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.


    We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.


    Successful candidates will be required to complete a criminal background check.


    Keywords: machine learning, ML, deep learning, DL, computer vision, imaging, image processing, ultrasound, ultrasonic, non-destructive testing, NDT, NDE, industrial, PyTorch, Tensorflow

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    ",2024-07-18,[] +3984814767,https://ca.linkedin.com/jobs/view/software-developer-python-at-visier-inc-3984814767?position=31&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=7fgcs23fftWtPscEuby%2FAw%3D%3D&trk=public_jobs_jserp-result_search-card,Software Developer (Python),Visier Inc.,"Vancouver, British Columbia, Canada","Visier is the leader in people analytics and we believe in a 'people-first' approach to business strategy. Our innovative technology transforms the way that organisations make decisions, allowing them to elevate their employees and drive better business outcomes. Embarking on an exciting new chapter in our growth story, we are looking for talented individuals who can help both Visier and our customers grow, evolve and win! + +Our engineering team is building innovative AI solutions for people analytics, providing HR and business leaders with intuitive insights on-demand. We recently released Vee, a generative AI digital assistant for people analytics, and are exploring LLM, NLP, and other AI technologies in order to build further, novel solutions that enhance our category-leading analytics software. + +What You’ll Be Doing…. + + +Developing the core technology for innovative, high-performing, cloud-based applications in generative AI and machine learning +Engineering prompt retrieval and augmentation +Creating effective tests for prompts +Developing and maintaining data connectors to various data sources +Mentoring our junior software developers +Establishing good development practices in the team +Gathering requirements and designing new software features +Contributing innovative ideas to enhance features, product, technology, and processes + + +What You’ll Bring To The Table…. + + +Experienced in designing and developing B2B SaaS applications +Proficiency in Python +Strong knowledge of data structures and algorithms +Exceptional problem-solving and critical-thinking skills +Ability to excel in a fast-paced, proactive work environment +Commitment to disciplined and top-quality software development +Strong communication skills +Academic qualifications in Computer Science + + +Additional assets would include + + +experience with prompt engineering and LLMs, +LLM application frameworks such as LangChain, +prompt testing, +client-server programming, as well as familiarity with modern web technologies. + + +The base pay range for this position in Canada is $90k - $136k / year + bonus. + +The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role. + +See the #VisierLife in action + +Instagram - @visierlife + +Linkedin - https://www.linkedin.com/company/visier-analytics/ + +Hear What It's Like To Work Visier Here + +Visier Candidate Privacy Notice and Recruiter Policy +Show more ","
    + + + + + +
    +
    + Visier is the leader in people analytics and we believe in a 'people-first' approach to business strategy. Our innovative technology transforms the way that organisations make decisions, allowing them to elevate their employees and drive better business outcomes. Embarking on an exciting new chapter in our growth story, we are looking for talented individuals who can help both Visier and our customers grow, evolve and win!

    Our engineering team is building innovative AI solutions for people analytics, providing HR and business leaders with intuitive insights on-demand. We recently released Vee, a generative AI digital assistant for people analytics, and are exploring LLM, NLP, and other AI technologies in order to build further, novel solutions that enhance our category-leading analytics software.

    What You’ll Be Doing….

    • Developing the core technology for innovative, high-performing, cloud-based applications in generative AI and machine learning
    • Engineering prompt retrieval and augmentation
    • Creating effective tests for prompts
    • Developing and maintaining data connectors to various data sources
    • Mentoring our junior software developers
    • Establishing good development practices in the team
    • Gathering requirements and designing new software features
    • Contributing innovative ideas to enhance features, product, technology, and processes

    What You’ll Bring To The Table….

    • Experienced in designing and developing B2B SaaS applications
    • Proficiency in Python
    • Strong knowledge of data structures and algorithms
    • Exceptional problem-solving and critical-thinking skills
    • Ability to excel in a fast-paced, proactive work environment
    • Commitment to disciplined and top-quality software development
    • Strong communication skills
    • Academic qualifications in Computer Science

    Additional assets would include

    • experience with prompt engineering and LLMs,
    • LLM application frameworks such as LangChain,
    • prompt testing,
    • client-server programming, as well as familiarity with modern web technologies.

    The base pay range for this position in Canada is $90k - $136k / year + bonus.

    The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.

    See the #VisierLife in action

    Instagram - @visierlife

    Linkedin - https://www.linkedin.com/company/visier-analytics/

    Hear What It's Like To Work Visier Here

    Visier Candidate Privacy Notice and Recruiter Policy +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3967197000,https://ca.linkedin.com/jobs/view/full-stack-developer-id%234574-at-new-value-solutions-3967197000?position=32&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=rCRV3f0qQH9tsKqSAfXQuQ%3D%3D&trk=public_jobs_jserp-result_search-card,Full Stack Developer (ID#4574),New Value Solutions,"Richmond, British Columbia, Canada","New Value Solutions, a national IT consulting company, is seeking a Full Stack Developer to help our client develop one or more parts of their application systems (systems of engagement and/or systems of record) and integrate it with other systems. This will include designing it to fit into the architecture, prototyping the user interface, implementing, unit-testing, and integrating the components that are part of the solution. + + + + +Requirements: + + + + +6+ years of work experience in IT. +4 years of experience with agile methodologies and cloud, DevOps environment, involving continuous process improvement, IT development, unit testing, production support and problem resolution, analysis, and/or technical proficiency. +Significant experience with Microsoft Stack with technologies and frameworks like .Net, C#, ASP.net Core, JavaScript, SQL, XUnit, NUnit, Entity Framework, TDD, and Azure. +Exposure to microservices is preferred. +Experience with frontend development such as ASP.net Core, Razor components, Angular 16 and up, HTML, CSS, and JQuery are desirable assets. +Exposure to ASP.net Core Blazor, .net MAUI is an asset. +PowerBuilder experience is an asset. +1+ years of experience acting in an unofficial technical leadership position helping to support, coach, and mentor intermediate and junior developers. +Significant experience participating in all activities that support consistent, and high-quality team delivery, especially in small team and complex enterprise scale environments and accustomed to collaborating with interdependent teams and removing impediments. +Very quality minded and can test code (manually and automated) all the way through to production, as well as document tests for audit and reusability. +Interested to learn about the business and build an understanding of the business processes and requirements which inform the system design. +Scaled Agile Framework (SAFe) training and certification like SAFe Practitioner, or willingness to take the course and obtain certification within 2 months from commencement of work. + + + + +If you have this expertise, and are able to work in Canada, please submit your resume. While we thank all candidates in advance for their application, only those candidates who are shortlisted will be contacted. + + + + +ID#4574 + + + + +The hourly rate range for this position is $65 - $95, with the final rate based on consultant experience and fit for the role. + +Show more ","
    + + + + + +
    +
    +

    New Value Solutions, a national IT consulting company, is seeking a Full Stack Developer to help our client develop one or more parts of their application systems (systems of engagement and/or systems of record) and integrate it with other systems. This will include designing it to fit into the architecture, prototyping the user interface, implementing, unit-testing, and integrating the components that are part of the solution.


    Requirements:


    • 6+ years of work experience in IT.
    • 4 years of experience with agile methodologies and cloud, DevOps environment, involving continuous process improvement, IT development, unit testing, production support and problem resolution, analysis, and/or technical proficiency.
    • Significant experience with Microsoft Stack with technologies and frameworks like .Net, C#, ASP.net Core, JavaScript, SQL, XUnit, NUnit, Entity Framework, TDD, and Azure.
    • Exposure to microservices is preferred.
    • Experience with frontend development such as ASP.net Core, Razor components, Angular 16 and up, HTML, CSS, and JQuery are desirable assets.
    • Exposure to ASP.net Core Blazor, .net MAUI is an asset.
    • PowerBuilder experience is an asset.
    • 1+ years of experience acting in an unofficial technical leadership position helping to support, coach, and mentor intermediate and junior developers.
    • Significant experience participating in all activities that support consistent, and high-quality team delivery, especially in small team and complex enterprise scale environments and accustomed to collaborating with interdependent teams and removing impediments.
    • Very quality minded and can test code (manually and automated) all the way through to production, as well as document tests for audit and reusability.
    • Interested to learn about the business and build an understanding of the business processes and requirements which inform the system design.
    • Scaled Agile Framework (SAFe) training and certification like SAFe Practitioner, or willingness to take the course and obtain certification within 2 months from commencement of work.


    If you have this expertise, and are able to work in Canada, please submit your resume. While we thank all candidates in advance for their application, only those candidates who are shortlisted will be contacted.


    ID#4574


    The hourly rate range for this position is $65 - $95, with the final rate based on consultant experience and fit for the role.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-08,[] +3984108879,https://ca.linkedin.com/jobs/view/software-engineer-for-ai-training-data-python-at-g2i-inc-3984108879?position=34&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=x7fTRhKrO3QIsjtAUrsvOA%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer for AI Training Data (Python),G2i Inc.,"Vancouver, British Columbia, Canada","Tech Stack + +It does not matter which programming language is your primary and we accept engineers with Python (however, you must be willing to work using Swift). Previous Swift experience is not required. + +Accepted Locations + +We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations, click here. This work is 100% remote. + +Loom Video + +Our Founder/CEO, Gabe Greenberg, created a more in depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40 + +Job Overview + +We are currently seeking Developers for project-specific roles focused on RLHF. This role will play a key part in our reinforcement learning from human feedback (RLHF) initiatives, contributing to cutting-edge projects. + +You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 4+ years of experience to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! + +What Will I Be Doing? + + +Evaluating the quality of AI-generated code, including human-readable summaries of your rationale +Solve coding problems, writing functional and efficient code +Writing robust test cases to confirm code works efficiently and effectively +We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from ""which piece of Python code is better?"" to ""make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster"" + + +Contract Length + + +This project is expected to last until the end of September and you'll be able to continue to work on other projects (though likely not in Swift). +You can end the contract at any time. + + +Flexible Schedules + + +Developers can set their own hours - ideal candidates will be interested in spending 15+ hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but incredibly flexible on working hours. +Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours. + + +Compensation + + +US: $50 /hr +Brazil: $28.70/hr +Egypt: $22.05/hr +Phillipines: $25.55/hr +All other countries: $35/hr +Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid per hour of work done on the platform. + + +Interview Process + +We've created a 3.5 hour screening and onboarding process to join as a Software Engineer for AI Training Data which can be accomplished in 1 week or less. We purposely perform most of these steps asynchronously because most of the RLHF work is async and self guided. After you apply, if you look like a good fit we'll provide you access to the G2i dashboard to go through this simple screening process. + +Step 1: Learn in depth about the role (35 min) + +Step 2: Perform a simple RLHF code review (35 min) + +Step 3: Receive platform credentials, pass ID verification (5 min), and choose your project (30 min). + +Step 4: Perform a production level RLHF task (75 min) ""aka the final interview"" + +Join us: Based on your final interview, you'll will put you on the right difficulty RLHF project + + +Show more ","
    + + + + + +
    +
    + Tech Stack

    It does not matter which programming language is your primary and we accept engineers with Python (however, you must be willing to work using Swift). Previous Swift experience is not required.

    Accepted Locations

    We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations, click here. This work is 100% remote.

    Loom Video

    Our Founder/CEO, Gabe Greenberg, created a more in depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40

    Job Overview

    We are currently seeking Developers for project-specific roles focused on RLHF. This role will play a key part in our reinforcement learning from human feedback (RLHF) initiatives, contributing to cutting-edge projects.

    You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 4+ years of experience to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open!

    What Will I Be Doing?

    • Evaluating the quality of AI-generated code, including human-readable summaries of your rationale
    • Solve coding problems, writing functional and efficient code
    • Writing robust test cases to confirm code works efficiently and effectively
    • We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from ""which piece of Python code is better?"" to ""make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster""

    Contract Length

    • This project is expected to last until the end of September and you'll be able to continue to work on other projects (though likely not in Swift).
    • You can end the contract at any time.

    Flexible Schedules

    • Developers can set their own hours - ideal candidates will be interested in spending 15+ hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but incredibly flexible on working hours.
    • Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours.

    Compensation

    • US: $50 /hr
    • Brazil: $28.70/hr
    • Egypt: $22.05/hr
    • Phillipines: $25.55/hr
    • All other countries: $35/hr
    • Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid per hour of work done on the platform.

    Interview Process

    We've created a 3.5 hour screening and onboarding process to join as a Software Engineer for AI Training Data which can be accomplished in 1 week or less. We purposely perform most of these steps asynchronously because most of the RLHF work is async and self guided. After you apply, if you look like a good fit we'll provide you access to the G2i dashboard to go through this simple screening process.

    Step 1: Learn in depth about the role (35 min)

    Step 2: Perform a simple RLHF code review (35 min)

    Step 3: Receive platform credentials, pass ID verification (5 min), and choose your project (30 min).

    Step 4: Perform a production level RLHF task (75 min) ""aka the final interview""

    Join us: Based on your final interview, you'll will put you on the right difficulty RLHF project

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3948470037,https://ca.linkedin.com/jobs/view/software-developer-at-corpay-3948470037?position=35&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=MeXQ%2B%2BWNSBd9NShHbbjkfw%3D%3D&trk=public_jobs_jserp-result_search-card,Software Developer,Corpay,"Vancouver, British Columbia, Canada","Your role + +As an experienced Software Developer, you’ll develop major components that power our consumer apps and global platform enabling over 17 million users to conveniently pay for parking. + +What You'll Be Doing + +Software Developer + +What We Need + +Corpay is currently hiring a remote Software Develop for the PaybyPhone line of business. In this role, you will develop major components that power our consumer apps and global platform enabling over 17 million users to conveniently pay for parking. Additionally, Corpay is looking for an active problem solver who enjoys seeking out the best and cost-effective solution. Write and test-drive code for new features and bugfixes. Investigate application issues within defined timelines and early demonstrate and explain the solution to others. Work with the team to design and develop automated test suites, refine acceptance criteria, and establish test plans. Participate in code reviews to share knowledge and improve code quality. Learn from your teammates and help them learn through pairing and mob programming sessions. Build and deploy software through an automated CI/CD pipeline, helping refine the process. Maintain cloud infrastructure for your team’s products and monitor the health and success of your team’s products through application, system, and business metrics. Advise users on appropriate action/workaround where applicable. Document, track, monitor problems and escalate issues to ensure a timely resolution. Contribute to technical documentation. Own the success of the systems you and your team develop. This includes monitoring, investigating issues, and supporting the service during outages including rotational on-call. Carry out regular checks on key metrics in Production environments. You must maintain a personal data plan to fulfill your responsibilities for on-call support. + +How We Work + +The Software Developer will be expected to work in a virtual environment, with occasional in office work days in Vancouver. Corpay will set you up for success by providing: + + +Assigned workspace in home office setup +Company-issued equipment +Virtual training +Monthly home Internet stipend + + +Role Responsibilities + +The responsibilities of the role will include: + + +Experience working in agile environment using processes like Kanban or Scrum +Intermediate level ability to code in object-oriented programming language preferably C#, python +Experience with automated unit testing, and an interest in techniques such as TDD and BDD +Excellent understanding of software engineering principles +Experience with cloud platforms like AWS/Azure preferably AWS +Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB +Experience improving legacy systems, or migrating them to a microservice architecture +Experience with Docker, Terraform +Experience with refactoring +Experience with service-oriented or microservices architecture using synchronous (REST) and asynchronous (event-driven) integration +Experience with React +Familiarity with Domain Driven Design concepts +Experience with production monitoring and observability +You’re excited about building robust and extensible 24/7 back-end services for a global market + + +Qualifications & Skills + + +3+ years’ experience designing and developing clean, maintainable software that stands up to real-world users and production conditions +Bachelor’s degree in Computer Science or Software Engineering (nice to have) +Writing clean, maintainable code with good test coverage +Effectively communicating technical decisions +Collaborating with and learning from your teammates +Making regular contributions to the team's processes, roadmap, and architecture +Helping improve the operational reliability of the team's systems +Demonstrated experience / projects +You’ve worked in or want to work in an agile environment using processes like Kanban or Scrum +Intermediate level ability to code in object-oriented programming language preferably C#, python +Experience with automated unit testing, and an interest in techniques such as TDD and BDD +Excellent understanding of software engineering principles +Experience with cloud platforms like AWS/Azure preferably AWS +Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB +Experience improving legacy systems, or migrating them to a microservice architecture +Experience with Docker, Terraform +Experience with refactoring +Demonstrated experience / projects +You’ve worked in or want to work in an agile environment using processes like Kanban or Scrum +Intermediate level ability to code in object-oriented programming language preferably C#, python +Experience with automated unit testing, and an interest in techniques such as TDD and BDD +Excellent understanding of software engineering principles +Experience with cloud platforms like AWS/Azure preferably AWS +Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB +Experience improving legacy systems, or migrating them to a microservice architecture +Experience with Docker, Terraform +Experience with refactoring + + +Salary Band $84,000 - $105,000 + +#Remote #INDTECH + +About Corpay + +Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. + +All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpay's Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. + +Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. + +Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CV's from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. + + +Show more ","
    + + + + + +
    +
    + Your role

    As an experienced Software Developer, you’ll develop major components that power our consumer apps and global platform enabling over 17 million users to conveniently pay for parking.

    What You'll Be Doing

    Software Developer

    What We Need

    Corpay is currently hiring a remote Software Develop for the PaybyPhone line of business. In this role, you will develop major components that power our consumer apps and global platform enabling over 17 million users to conveniently pay for parking. Additionally, Corpay is looking for an active problem solver who enjoys seeking out the best and cost-effective solution. Write and test-drive code for new features and bugfixes. Investigate application issues within defined timelines and early demonstrate and explain the solution to others. Work with the team to design and develop automated test suites, refine acceptance criteria, and establish test plans. Participate in code reviews to share knowledge and improve code quality. Learn from your teammates and help them learn through pairing and mob programming sessions. Build and deploy software through an automated CI/CD pipeline, helping refine the process. Maintain cloud infrastructure for your team’s products and monitor the health and success of your team’s products through application, system, and business metrics. Advise users on appropriate action/workaround where applicable. Document, track, monitor problems and escalate issues to ensure a timely resolution. Contribute to technical documentation. Own the success of the systems you and your team develop. This includes monitoring, investigating issues, and supporting the service during outages including rotational on-call. Carry out regular checks on key metrics in Production environments. You must maintain a personal data plan to fulfill your responsibilities for on-call support.

    How We Work

    The Software Developer will be expected to work in a virtual environment, with occasional in office work days in Vancouver. Corpay will set you up for success by providing:

    • Assigned workspace in home office setup
    • Company-issued equipment
    • Virtual training
    • Monthly home Internet stipend

    Role Responsibilities

    The responsibilities of the role will include:

    • Experience working in agile environment using processes like Kanban or Scrum
    • Intermediate level ability to code in object-oriented programming language preferably C#, python
    • Experience with automated unit testing, and an interest in techniques such as TDD and BDD
    • Excellent understanding of software engineering principles
    • Experience with cloud platforms like AWS/Azure preferably AWS
    • Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB
    • Experience improving legacy systems, or migrating them to a microservice architecture
    • Experience with Docker, Terraform
    • Experience with refactoring
    • Experience with service-oriented or microservices architecture using synchronous (REST) and asynchronous (event-driven) integration
    • Experience with React
    • Familiarity with Domain Driven Design concepts
    • Experience with production monitoring and observability
    • You’re excited about building robust and extensible 24/7 back-end services for a global market

    Qualifications & Skills

    • 3+ years’ experience designing and developing clean, maintainable software that stands up to real-world users and production conditions
    • Bachelor’s degree in Computer Science or Software Engineering (nice to have)
    • Writing clean, maintainable code with good test coverage
    • Effectively communicating technical decisions
    • Collaborating with and learning from your teammates
    • Making regular contributions to the team's processes, roadmap, and architecture
    • Helping improve the operational reliability of the team's systems
    • Demonstrated experience / projects
    • You’ve worked in or want to work in an agile environment using processes like Kanban or Scrum
    • Intermediate level ability to code in object-oriented programming language preferably C#, python
    • Experience with automated unit testing, and an interest in techniques such as TDD and BDD
    • Excellent understanding of software engineering principles
    • Experience with cloud platforms like AWS/Azure preferably AWS
    • Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB
    • Experience improving legacy systems, or migrating them to a microservice architecture
    • Experience with Docker, Terraform
    • Experience with refactoring
    • Demonstrated experience / projects
    • You’ve worked in or want to work in an agile environment using processes like Kanban or Scrum
    • Intermediate level ability to code in object-oriented programming language preferably C#, python
    • Experience with automated unit testing, and an interest in techniques such as TDD and BDD
    • Excellent understanding of software engineering principles
    • Experience with cloud platforms like AWS/Azure preferably AWS
    • Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB
    • Experience improving legacy systems, or migrating them to a microservice architecture
    • Experience with Docker, Terraform
    • Experience with refactoring

    Salary Band $84,000 - $105,000

    #Remote #INDTECH

    About Corpay

    Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.

    All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpay's Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements.

    Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities.

    Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CV's from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[] +3990048749,https://ca.linkedin.com/jobs/view/deep-learning-researcher-%E2%80%94-speech-scientist-at-picovoice-3990048749?position=36&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=fzuItf9LQl7XF6Is6K1TAw%3D%3D&trk=public_jobs_jserp-result_search-card,Deep Learning Researcher — Speech Scientist,Picovoice,"Vancouver, British Columbia, Canada","A steadily growing and profitable AI startup seeks applied speech scientists. The ability to solve vague and nontrivial problems on a tight schedule is critical. Top-notch written and verbal communication skills are essential. A strong sense of ownership is a prerequisite. Expect to work with intense, motivated, and competent peers. + + + + +Requirements +Deep expertise in speech-to-text, text-to-speech, and speaker recognition +Solid understanding of theory, applications, and limitations of deep learning +Experience with at least one mainstream deep learning framework +Practical knowledge of data structures and algorithms +Experience building complex and extensible software +Hands-on experience with Python +Hands-on experience with C +Hands-on experience with PyTorch +Hands-on experience with CUDA +Knowledge of graph theory +Knowledge of probability theory + + + + +Show more ","
    + + + + + +
    +
    +

    A steadily growing and profitable AI startup seeks applied speech scientists. The ability to solve vague and nontrivial problems on a tight schedule is critical. Top-notch written and verbal communication skills are essential. A strong sense of ownership is a prerequisite. Expect to work with intense, motivated, and competent peers.


    Requirements
    • Deep expertise in speech-to-text, text-to-speech, and speaker recognition
    • Solid understanding of theory, applications, and limitations of deep learning
    • Experience with at least one mainstream deep learning framework
    • Practical knowledge of data structures and algorithms
    • Experience building complex and extensible software
    • Hands-on experience with Python
    • Hands-on experience with C
    • Hands-on experience with PyTorch
    • Hands-on experience with CUDA
    • Knowledge of graph theory
    • Knowledge of probability theory


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-03,[] +3898173991,https://ca.linkedin.com/jobs/view/senior-computer-vision-developer-at-clearvision-technologies-inc-3898173991?position=39&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=54F0skIsc4FisVYi5BJxsA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Computer Vision Developer,"ClearVision Technologies, Inc.",Greater Vancouver Metropolitan Area,"ClearVision is involved in the design and manufacture of machine vision systems for quality control. Our primary customers are manufacturers in the paper, carton, and corrugated box industries. We assemble industrial cameras, sensors, our own lighting and control systems, industrial PCs, and touchscreen interfaces to create a complete inspection system. We then integrate this product with our customers' machinery on site. + + + + +Our camera systems inspect various high-speed processes including glue application, flexographic printing, barcoding, and braille dot embossing. Manufacturing and worldwide sales for the ClearVision brand are now handled by our parent company, Valco Melton, in Cincinnati, Ohio. This allows the ClearVision location in Mt. Pleasant, Vancouver to function as a design office focused on R&D, prototyping, and software development. + + + + +About the Position: + + + + +ClearVision will give you the opportunity to be an important member of a dynamic multi-disciplinary design team. The Senior Computer Vision Developer will create and improve Machine Vision algorithms for new and existing products. The position consists of the full development cycle from concept to development, to field testing and deployment. + + + + +The position will also involve direct communication with the field service engineers, writing basic documentation and providing office hours support to customers and field service engineers. + + + + +Some travel is expected for this position to assist with product development. You will work with the ClearVision team in Vancouver as well as with Valco Melton engineers around the world. ClearVision has an energetic and fun work environment with organized lunches and other employee events. + + + + +Duties & Responsibilities: + + + + +Development of Machine Vision algorithms that are efficient and robust. +Working with other Software and Mechatronics developers to produce a comprehensive quality assurance solution. +Testing of algorithms in an industrial environment. + + + + +Required Experience: + + + + +8+ years of Machine Vision programming experience. +6+ years working in industry. +4+ years of either C++ or C# experience. +4+ years of OpenCV experience. +2+ years of Machine Learning. + + + + +Required Competencies: + + + + +Ability to create reliable machine vision algorithms that work well under varying lighting and imaging conditions. +Ability to use creative ideas to design fast and well-optimized algorithms. +Ability to create and train datasets to produce robust models that can be deployed to customer sites. + + + + +Preferred Competencies: + + + + +Visual Studio. +Git, source code revision control. +Experience in vision-based print inspection. +Lighting and imaging understanding. + + + + +Preferred Personal Skills: + + + + +Good communication skills. +Willingness to travel. +Good troubleshooting and problem solving. +Customer oriented. +Driver's license class 5. + + + + +Education: + + + + +Bachelor’s degree in engineering- or science-related field. +Master’s degree preferred. +Show more ","
    + + + + + +
    +
    +

    ClearVision is involved in the design and manufacture of machine vision systems for quality control. Our primary customers are manufacturers in the paper, carton, and corrugated box industries. We assemble industrial cameras, sensors, our own lighting and control systems, industrial PCs, and touchscreen interfaces to create a complete inspection system. We then integrate this product with our customers' machinery on site.


    Our camera systems inspect various high-speed processes including glue application, flexographic printing, barcoding, and braille dot embossing. Manufacturing and worldwide sales for the ClearVision brand are now handled by our parent company, Valco Melton, in Cincinnati, Ohio. This allows the ClearVision location in Mt. Pleasant, Vancouver to function as a design office focused on R&D, prototyping, and software development.


    About the Position:


    ClearVision will give you the opportunity to be an important member of a dynamic multi-disciplinary design team. The Senior Computer Vision Developer will create and improve Machine Vision algorithms for new and existing products. The position consists of the full development cycle from concept to development, to field testing and deployment.


    The position will also involve direct communication with the field service engineers, writing basic documentation and providing office hours support to customers and field service engineers.


    Some travel is expected for this position to assist with product development. You will work with the ClearVision team in Vancouver as well as with Valco Melton engineers around the world. ClearVision has an energetic and fun work environment with organized lunches and other employee events.


    Duties & Responsibilities:


    • Development of Machine Vision algorithms that are efficient and robust.
    • Working with other Software and Mechatronics developers to produce a comprehensive quality assurance solution.
    • Testing of algorithms in an industrial environment.


    Required Experience:


    • 8+ years of Machine Vision programming experience.
    • 6+ years working in industry.
    • 4+ years of either C++ or C# experience.
    • 4+ years of OpenCV experience.
    • 2+ years of Machine Learning.


    Required Competencies:


    • Ability to create reliable machine vision algorithms that work well under varying lighting and imaging conditions.
    • Ability to use creative ideas to design fast and well-optimized algorithms.
    • Ability to create and train datasets to produce robust models that can be deployed to customer sites.


    Preferred Competencies:


    • Visual Studio.
    • Git, source code revision control.
    • Experience in vision-based print inspection.
    • Lighting and imaging understanding.


    Preferred Personal Skills:


    • Good communication skills.
    • Willingness to travel.
    • Good troubleshooting and problem solving.
    • Customer oriented.
    • Driver's license class 5.


    Education:


    • Bachelor’s degree in engineering- or science-related field.
    • Master’s degree preferred.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-11,[] +3959868355,https://ca.linkedin.com/jobs/view/senior-frontend-developer-at-pixieset-3959868355?position=40&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=vNHC29cr6RfFFIrUUqqhNQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Frontend Developer,Pixieset,"Vancouver, British Columbia, Canada","Opportunity Snapshot + +We’re hiring a Senior Software Developer, Front End to create intuitive and visually stunning web applications for over 1 million photographers and creative professionals worldwide. Pixieset is the market leader in software for photography businesses, and as we expand our product suite, we're looking to scale our Engineering team to drive the next phase of our growth. You will have the opportunity to showcase your expertise in front-end development while working collaboratively with a talented team. Your high level of attention to detail, ability to implement pixel-perfect designs, and experience owning a product from concept to delivery will be key to success. + + + + +Your Impact + +Design, develop and implement product features in Vue.js, React, Javascript, HTML, and CSS +Write clean, efficient, and well-documented code +Implement pixel-perfect web UI for both mobile and desktop devices according to design +Build beautiful user-centered experiences and ensure a consistent user experience across various browsers, devices, and operating systems +Produce robust and reusable code and resolve issues +Participate in code reviews and ensure coding standards are met +Collaborate with stakeholders to define requirements and estimate project timelines +Provide mentorship to more junior developers, participate in code reviews and ensure adherence to coding standards +Research and integrate new technologies to drive our front-end development forward + + + + +Role Requirements + +5+ years of professional experience as a Full Stack or Front End Developer +2+ years of experience with Vue.js +Experience in HTML, CSS, Javascript ES6 +Experience with cross-browser compatibility, web accessibility, validation and responsive web development +Experience in following wireframes, mockups, etc. +Good understanding of asynchronous request handling, partial page updates, single-page applications, and AJAX +Experience with source control and issue tracking like Git, Atlassian JIRA +Strives for pixel-perfect, extremely detail-oriented, takes great pride in achieving excellence, strong problem solving skills, and demonstrates a sense of ownership +Experience with UX/UI, PHP and its frameworks, and design tools such as Figma is a bonus + + + + +What We Offer + +Hybrid work environment (2 in-office days per week) +4 weeks of annual vacation & paid time off for office holiday closure +RRSP matching +$2,000 annual health & lifestyle spending account +$1,000 annual education budget +$1,000 annual charitable donation matching +Comprehensive benefits: extended health, critical illness, long-term disability & life insurance +Company-issued MacBook & home office budget +Anniversary rewards & complimentary Pixieset premium account +Team-building activities & company-wide events + + + + +The typical salary range for this position is CAD 107,350 - $144,900 annually. Salary offered will be based on skills, experience and market data. + + + + +Working at Pixieset + +We’re dedicated to providing photographers and creative professionals with the tools they need to showcase their talent and grow their business. We offer a unique all-in-one platform that allows users to easily create and share stunning online galleries, sell their finished work, build an online presence, and manage their business. + + + + +Our culture is dynamic, collaborative, and encourages continuous learning and growth. Ideas and feedback are always welcomed and employees are encouraged to share their skills and knowledge with the team. We value dedication, innovation, and teamwork, and we are passionate about technology and providing simple solutions to complex challenges. + + + + +As a member of our team, you will have the opportunity to work on exciting projects, collaborate with talented and passionate individuals, and make a real impact on the success of the company as we execute our ambitious product roadmap. + + + + +We are proud to be certified as a Great Place to Work™, Best Workplace in Technology™, and Best Workplace for Inclusion™. We love what we do, and we love the people we work with. Our commitment to a diverse and inclusive workplace is one of our keys for success. We believe that talent is talent and having many different perspectives, backgrounds, and experiences makes for a stronger team, product, and company. + + + + +For more information on Pixieset, please visit our careers page and follow us Facebook, LinkedIn, Twitter and Instagram! + +Show more ","
    + + + + + +
    +
    +

    Opportunity Snapshot

    We’re hiring a Senior Software Developer, Front End to create intuitive and visually stunning web applications for over 1 million photographers and creative professionals worldwide. Pixieset is the market leader in software for photography businesses, and as we expand our product suite, we're looking to scale our Engineering team to drive the next phase of our growth. You will have the opportunity to showcase your expertise in front-end development while working collaboratively with a talented team. Your high level of attention to detail, ability to implement pixel-perfect designs, and experience owning a product from concept to delivery will be key to success.


    Your Impact

    • Design, develop and implement product features in Vue.js, React, Javascript, HTML, and CSS
    • Write clean, efficient, and well-documented code
    • Implement pixel-perfect web UI for both mobile and desktop devices according to design
    • Build beautiful user-centered experiences and ensure a consistent user experience across various browsers, devices, and operating systems
    • Produce robust and reusable code and resolve issues
    • Participate in code reviews and ensure coding standards are met
    • Collaborate with stakeholders to define requirements and estimate project timelines
    • Provide mentorship to more junior developers, participate in code reviews and ensure adherence to coding standards
    • Research and integrate new technologies to drive our front-end development forward


    Role Requirements

    • 5+ years of professional experience as a Full Stack or Front End Developer
    • 2+ years of experience with Vue.js
    • Experience in HTML, CSS, Javascript ES6
    • Experience with cross-browser compatibility, web accessibility, validation and responsive web development
    • Experience in following wireframes, mockups, etc.
    • Good understanding of asynchronous request handling, partial page updates, single-page applications, and AJAX
    • Experience with source control and issue tracking like Git, Atlassian JIRA
    • Strives for pixel-perfect, extremely detail-oriented, takes great pride in achieving excellence, strong problem solving skills, and demonstrates a sense of ownership
    • Experience with UX/UI, PHP and its frameworks, and design tools such as Figma is a bonus


    What We Offer

    • Hybrid work environment (2 in-office days per week)
    • 4 weeks of annual vacation & paid time off for office holiday closure
    • RRSP matching
    • $2,000 annual health & lifestyle spending account
    • $1,000 annual education budget
    • $1,000 annual charitable donation matching
    • Comprehensive benefits: extended health, critical illness, long-term disability & life insurance
    • Company-issued MacBook & home office budget
    • Anniversary rewards & complimentary Pixieset premium account
    • Team-building activities & company-wide events


    The typical salary range for this position is CAD 107,350 - $144,900 annually. Salary offered will be based on skills, experience and market data.


    Working at Pixieset

    We’re dedicated to providing photographers and creative professionals with the tools they need to showcase their talent and grow their business. We offer a unique all-in-one platform that allows users to easily create and share stunning online galleries, sell their finished work, build an online presence, and manage their business.


    Our culture is dynamic, collaborative, and encourages continuous learning and growth. Ideas and feedback are always welcomed and employees are encouraged to share their skills and knowledge with the team. We value dedication, innovation, and teamwork, and we are passionate about technology and providing simple solutions to complex challenges.


    As a member of our team, you will have the opportunity to work on exciting projects, collaborate with talented and passionate individuals, and make a real impact on the success of the company as we execute our ambitious product roadmap.


    We are proud to be certified as a Great Place to Work™, Best Workplace in Technology™, and Best Workplace for Inclusion™. We love what we do, and we love the people we work with. Our commitment to a diverse and inclusive workplace is one of our keys for success. We believe that talent is talent and having many different perspectives, backgrounds, and experiences makes for a stronger team, product, and company.


    For more information on Pixieset, please visit our careers page and follow us Facebook, LinkedIn, Twitter and Instagram!

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-22,[] +3981080695,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-fraser-health-authority-3981080695?position=41&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=F8C8CKhSo1tyw7H0glHpMg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Fraser Health Authority,"Surrey, British Columbia, Canada","Salary range + +The salary range for this position is CAD $59.56 - $85.62 / hour + +Come work with us! + +Fraser Health is responsible for the delivery of hospital and community-based health services to over 1.9 million people in 20 diverse communities from Burnaby to Fraser Canyon on the traditional territories of the Coast Salish and Nlaka’pamux Nations. Our team of 48,000+ staff, medical staff and volunteers is dedicated to serving our patients, families and communities to deliver on our vision: Better health, best in health care. + +As a Senior Data Scientist you will be responsible for the assigned machine learning and artificial intelligence (ML/AI) projects, providing end-to-end technical execution and project management across a multi-disciplinary technical team comprised of Senior Operations Engineers, Operations Research Scientists, Data Scientists, Data Analysts, Solutions Architect and Data Engineers. The Senior Data Scientist will design, develop and deploy cloud or on-premises innovative advanced analytics, machine learning and artificial intelligence solutions to improve service quality, patient safety and patient outcomes. + +At The Center for Advanced Analytics, Data Science and Innovation (CAADSI) of Fraser Health, we are looking for a Senior Data Scientist to join our agile and fast paced team. Reporting to the Director of Data Science, a senior data scientist is a multifaceted professional who plays a pivotal role in guiding a team of data scientists. They are responsible for overseeing the execution of data science projects, maintaining technical expertise, solving complex data-related challenges, collaborating with cross-functional teams, and driving the organization's data strategy. Additionally, they facilitate the growth and development of their team, ensure data quality and ethical standards, manage risks, promote innovation, and communicate effectively with non-technical stakeholders through compelling storytelling techniques. This comprehensive role blends technical acumen, leadership, project management, and strategic thinking to drive data-driven success and deliver valuable insights that impact Fraser Health's decision-making processes. + +We currently have a Full Time vacancy for this role based at our Central City offices in Surrey, BC, with access to rapid transit, shopping, restaurants, on-site gym and other amenities. + +Job duties: + + +Provides technical direction and project oversight to the Data Scientists, ensuring clarity around priorities and goals, as well as working across functions with peers in the other Health Informatics groups to ensure collaboration for shared goals. +Guarantees best practices of data science, ML/AI and Operations Research techniques are appropriately applied to the projects, including scalable deployment of AI solutions to clinical settings as per industry standards in MLOps, alignment with the business objectives, clinical workflow, and organizational technologies and infrastructure both current and future. +Develops annual strategic roadmap within a set of assigned portfolios and programs, focused on driving transformational results through advanced analytics in conjunction with other partners, communicates our strategy with partners internal and external to FHA and tracks progress towards key milestones. +Leads the design, development, quality assurance, deployment, and transition to support of Advanced Analytics solutions utilizing optimization and data science techniques for FHA clients with scalability to health care industry clients. +Liaises with FHA HIIT, PHSA IMITS, and major Cloud vendors (Microsoft Azure, Amazon AWS) to ensure effective utilization of cloud resources to build and manage advanced analytics applications. +Supports Managing Consultants and Operations Engineers in user change management and workflow (re)designs around ML/AI solutions. + + +Qualifications: + + +PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Healthcare Research, Math, Physics or a related Engineering degree +Seven (7) years’ experience developing advanced analytics solutions preferably in the Health Care industry, including two (2) years’ leadership experience + + +An equivalent combination of education, training and experience may be considered. + +Curious to learn what it’s like to work here? Like us on Facebook (@fraserhealthcareers), follow us on Twitter & Instagram (@FHCareer), or connect with us on LinkedIn (fraserhealthcareers) for first-hand employee insights. + +Detailed Overview + +Supporting the Vision, Values, Purpose and Commitments of Fraser Health including service delivery that is centered around patients/clients/residents and families: + +Reporting to the Director, Data Science, the Senior Data Scientist is responsible for the assigned machine learning and artificial intelligence (ML/AI) projects, providing end-to-end technical execution and project management across a multi-disciplinary technical team comprised of Senior Operations Engineers, Operations Research Scientists, Data Scientists, Data Analysts, Solutions Architect and Data Engineers to design, develop and deploy cloud or on-premises innovative advanced analytics, machine learning and artificial intelligence solutions to improve service quality, patient safety and patient outcomes. The Senior Data Scientist assesses and executes data science and operations research best practices across assigned portfolios, including the development and use of data science, technical deployment strategies as per industry standards in MLOps, optimization (operational research) and artificial intelligence techniques for a wide range of healthcare applications such as system capacity projections, operating room planning, staff scheduling, emergency department staffing, radiotherapy treatment planning, higher level of care coordination, home healthcare planning, long-term care planning and scheduling and to gain unprecedented insights into diagnostics, care processes, treatment variability, and patient outcomes. This role is responsible to work with the Data Science Director and Senior Leadership to create ML/AI product vision and product roadmap for targeted clinical programs and networks. The Senior Data Scientist partners with Managing Consultant team for alignment with organization's Strategic Priorities to understand business pain points and workflow processes, identify opportunities, and propose ML/AI approaches to challenges. The Senior Data Scientist closely partners with Technical Infrastructure team and ensures the proposed ML/AI solution is strategically aligned with the organization's evolving technologies and infrastructure. In addition, this role collaborates closely with other technical teams within Fraser Health and across other Health Authorities to collaborate on cross-functional initiatives. + +The Senior Data Scientist brings deep knowledge of analytic techniques and methodologies such as mathematical modeling, machine learning, statistical analysis, optimization, simulation, natural language processing, pattern matching, non-linear forecasting, visualization, large language modelling, conversational AI, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, process mining and complex event processing to better understand complex systems, help transition traditional analytics and reporting toward predictive and prescriptive analytics, and aid in decision-making through surfacing insights and supporting change initiatives. + +Responsibilities + + +Provides technical direction and project oversight to the Data Scientists, ensuring clarity around priorities and goals, as well as working across functions with peers in the other Health Informatics groups to ensure collaboration for shared goals. +Guarantees best practices of data science, ML/AI and Operations Research techniques are appropriately applied to the projects, including scalable deployment of AI solutions to clinical settings as per industry standards in MLOps, alignment with the business objectives, clinical workflow, and organizational technologies and infrastructure both current and future. +Develops annual strategic roadmap within a set of assigned portfolios and programs, focused on driving transformational results through advanced analytics in conjunction with other partners, communicates our strategy with partners internal and external to FHA and tracks progress towards key milestones. +Leads the design, development, quality assurance, deployment, and transition to support of Advanced Analytics solutions utilizing optimization and data science techniques for FHA clients with scalability to health care industry clients. +Liaises with FHA HIIT, PHSA IMITS, and major Cloud vendors (Microsoft Azure, Amazon AWS) to ensure effective utilization of cloud resources to build and manage advanced analytics applications. +Supports Managing Consultants and Operations Engineers in user change management and workflow (re)designs around ML/AI solutions. +Collaborates with leadership to share success stories (and failures) in an effort to increase operations research and data science literacy and adoption across the organization. +Actively contributes to research community through journal publications, participation at conferences, seminars, workshops, university relations. +Serves as a senior consultant and project manager for assigned data analytics projects, including the development, monitoring and evaluation of project plans and deliverables. Collaborates with leaders across the organization to enable system improvement outcomes. +Collaborates with Senior Leadership Team on data-driven innovations and preparation of confidential analytical analysis and briefings for the Board as required, and using information at the national, provincial and regional levels in addition to corporate information sources. +Builds effective relationships with internal/external partners and ensures alignment. +Holds responsibility for hiring, supervising, disciplining and terminating team staff members. Escalates tactical and strategic capacity issues to Data Science Manager. + + +Qualifications + +PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Healthcare Research, Math, Physics or a related Engineering degree and seven (7) years’ experience developing advanced analytics solutions preferably in the Health Care industry, including two (2) years’ leadership experience, or an equivalent combination of education, training and experience. + +Experience in the following areas is also required: + + +Installing data architectures on-prem infrastructure and Cloud providers (e.g. MS Azure, AWS), using DevOps tools; +Automating data pipelines for model building, testing, validation and deployment; +Working on Data bricks, PySpark, Azure Data Factory and other Azure data solutions ecosystems; +Working on data-intensive projects, using modern data platforms and tools and advanced analytics methods and approaches; +Working on large language models such as developed by OpenAI, Meta, Google; +Managing and analyzing large scale structured and unstructured data using a data and analytics programming language, preferably Python; and +Analytics and optimization frameworks and packages such as Numpy, Scipy, Pandas, Gurobi, CPLEX, Xpress, Simulated Annealing; +Data visualization tools such as PowerBI; +Change management processes and with project management methodologies. + + +COMPETENCIES: + +Demonstrates the leadership practices of the Fraser Health Leadership Framework of Clear, Caring and Courageous and creates the conditions for people to succeed. + +Professional/Technical Capabilities + + +Demonstrated ability in building and leading an advanced analytics & ML/AI team with diverse and complementary strengths, and in coaching, mentoring and providing opportunities for growth and technical development. +Expertise in the fields of data science, optimization (operational research) and artificial intelligence, including building models and developing algorithms for optimization, machine learning, statistics, mathematical programming, and simulation in the Health Care industry. +Ability to lead cross-functional teams to drive operationalization of analytic products and help teams transform processes through analytics in a unified direction as well as an ability to influence leadership and executives using consultative, project and change management approaches. +Knowledge of end-to-end implementation in data analytics solutions (data ingestion, processing, provisioning and visualization) for largescale and complex environments. +Knowledge of distributed computing solutions and ability to leverage them towards gaining faster insights from data. +Knowledge of Data Management, Data Governance, and technical architecture required to enable advanced analytics capabilities. +General knowledge of current health care issues and trends. +Proven ability to communicate complex concepts and insights verbally and in writing to colleagues and clients with varying degrees of technical knowledge. +Outstanding people leadership skills with a keen focus on developing and fostering an innovative and engaged culture. +Demonstrated ability in managing complex analytics projects as part of an overall program and leading them across all phases including project planning, business discovery, data discovery, implementation, business readiness and roll out. +Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights. +Demonstrated ability to drive change and influence across enterprise. +Demonstrated ability in building and maintaining effective working relationships with business leaders, partners, users and partners to integrate programs into overall strategic objectives. +Demonstrated ability to exercise sound judgment, critical thinking and effective decision making. +Demonstrated ability to respond to changing priorities and unforeseen circumstances. +Demonstrated ability to effectively manage budget and staff resources. +Physical ability to perform the duties of the job. +Show more ","
    + + + + + +
    +
    + Salary range

    The salary range for this position is CAD $59.56 - $85.62 / hour

    Come work with us!

    Fraser Health is responsible for the delivery of hospital and community-based health services to over 1.9 million people in 20 diverse communities from Burnaby to Fraser Canyon on the traditional territories of the Coast Salish and Nlaka’pamux Nations. Our team of 48,000+ staff, medical staff and volunteers is dedicated to serving our patients, families and communities to deliver on our vision: Better health, best in health care.

    As a Senior Data Scientist you will be responsible for the assigned machine learning and artificial intelligence (ML/AI) projects, providing end-to-end technical execution and project management across a multi-disciplinary technical team comprised of Senior Operations Engineers, Operations Research Scientists, Data Scientists, Data Analysts, Solutions Architect and Data Engineers. The Senior Data Scientist will design, develop and deploy cloud or on-premises innovative advanced analytics, machine learning and artificial intelligence solutions to improve service quality, patient safety and patient outcomes.

    At The Center for Advanced Analytics, Data Science and Innovation (CAADSI) of Fraser Health, we are looking for a Senior Data Scientist to join our agile and fast paced team. Reporting to the Director of Data Science, a senior data scientist is a multifaceted professional who plays a pivotal role in guiding a team of data scientists. They are responsible for overseeing the execution of data science projects, maintaining technical expertise, solving complex data-related challenges, collaborating with cross-functional teams, and driving the organization's data strategy. Additionally, they facilitate the growth and development of their team, ensure data quality and ethical standards, manage risks, promote innovation, and communicate effectively with non-technical stakeholders through compelling storytelling techniques. This comprehensive role blends technical acumen, leadership, project management, and strategic thinking to drive data-driven success and deliver valuable insights that impact Fraser Health's decision-making processes.

    We currently have a Full Time vacancy for this role based at our Central City offices in Surrey, BC, with access to rapid transit, shopping, restaurants, on-site gym and other amenities.

    Job duties:

    • Provides technical direction and project oversight to the Data Scientists, ensuring clarity around priorities and goals, as well as working across functions with peers in the other Health Informatics groups to ensure collaboration for shared goals.
    • Guarantees best practices of data science, ML/AI and Operations Research techniques are appropriately applied to the projects, including scalable deployment of AI solutions to clinical settings as per industry standards in MLOps, alignment with the business objectives, clinical workflow, and organizational technologies and infrastructure both current and future.
    • Develops annual strategic roadmap within a set of assigned portfolios and programs, focused on driving transformational results through advanced analytics in conjunction with other partners, communicates our strategy with partners internal and external to FHA and tracks progress towards key milestones.
    • Leads the design, development, quality assurance, deployment, and transition to support of Advanced Analytics solutions utilizing optimization and data science techniques for FHA clients with scalability to health care industry clients.
    • Liaises with FHA HIIT, PHSA IMITS, and major Cloud vendors (Microsoft Azure, Amazon AWS) to ensure effective utilization of cloud resources to build and manage advanced analytics applications.
    • Supports Managing Consultants and Operations Engineers in user change management and workflow (re)designs around ML/AI solutions.

    Qualifications:

    • PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Healthcare Research, Math, Physics or a related Engineering degree
    • Seven (7) years’ experience developing advanced analytics solutions preferably in the Health Care industry, including two (2) years’ leadership experience

    An equivalent combination of education, training and experience may be considered.

    Curious to learn what it’s like to work here? Like us on Facebook (@fraserhealthcareers), follow us on Twitter & Instagram (@FHCareer), or connect with us on LinkedIn (fraserhealthcareers) for first-hand employee insights.

    Detailed Overview

    Supporting the Vision, Values, Purpose and Commitments of Fraser Health including service delivery that is centered around patients/clients/residents and families:

    Reporting to the Director, Data Science, the Senior Data Scientist is responsible for the assigned machine learning and artificial intelligence (ML/AI) projects, providing end-to-end technical execution and project management across a multi-disciplinary technical team comprised of Senior Operations Engineers, Operations Research Scientists, Data Scientists, Data Analysts, Solutions Architect and Data Engineers to design, develop and deploy cloud or on-premises innovative advanced analytics, machine learning and artificial intelligence solutions to improve service quality, patient safety and patient outcomes. The Senior Data Scientist assesses and executes data science and operations research best practices across assigned portfolios, including the development and use of data science, technical deployment strategies as per industry standards in MLOps, optimization (operational research) and artificial intelligence techniques for a wide range of healthcare applications such as system capacity projections, operating room planning, staff scheduling, emergency department staffing, radiotherapy treatment planning, higher level of care coordination, home healthcare planning, long-term care planning and scheduling and to gain unprecedented insights into diagnostics, care processes, treatment variability, and patient outcomes. This role is responsible to work with the Data Science Director and Senior Leadership to create ML/AI product vision and product roadmap for targeted clinical programs and networks. The Senior Data Scientist partners with Managing Consultant team for alignment with organization's Strategic Priorities to understand business pain points and workflow processes, identify opportunities, and propose ML/AI approaches to challenges. The Senior Data Scientist closely partners with Technical Infrastructure team and ensures the proposed ML/AI solution is strategically aligned with the organization's evolving technologies and infrastructure. In addition, this role collaborates closely with other technical teams within Fraser Health and across other Health Authorities to collaborate on cross-functional initiatives.

    The Senior Data Scientist brings deep knowledge of analytic techniques and methodologies such as mathematical modeling, machine learning, statistical analysis, optimization, simulation, natural language processing, pattern matching, non-linear forecasting, visualization, large language modelling, conversational AI, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, process mining and complex event processing to better understand complex systems, help transition traditional analytics and reporting toward predictive and prescriptive analytics, and aid in decision-making through surfacing insights and supporting change initiatives.

    Responsibilities

    • Provides technical direction and project oversight to the Data Scientists, ensuring clarity around priorities and goals, as well as working across functions with peers in the other Health Informatics groups to ensure collaboration for shared goals.
    • Guarantees best practices of data science, ML/AI and Operations Research techniques are appropriately applied to the projects, including scalable deployment of AI solutions to clinical settings as per industry standards in MLOps, alignment with the business objectives, clinical workflow, and organizational technologies and infrastructure both current and future.
    • Develops annual strategic roadmap within a set of assigned portfolios and programs, focused on driving transformational results through advanced analytics in conjunction with other partners, communicates our strategy with partners internal and external to FHA and tracks progress towards key milestones.
    • Leads the design, development, quality assurance, deployment, and transition to support of Advanced Analytics solutions utilizing optimization and data science techniques for FHA clients with scalability to health care industry clients.
    • Liaises with FHA HIIT, PHSA IMITS, and major Cloud vendors (Microsoft Azure, Amazon AWS) to ensure effective utilization of cloud resources to build and manage advanced analytics applications.
    • Supports Managing Consultants and Operations Engineers in user change management and workflow (re)designs around ML/AI solutions.
    • Collaborates with leadership to share success stories (and failures) in an effort to increase operations research and data science literacy and adoption across the organization.
    • Actively contributes to research community through journal publications, participation at conferences, seminars, workshops, university relations.
    • Serves as a senior consultant and project manager for assigned data analytics projects, including the development, monitoring and evaluation of project plans and deliverables. Collaborates with leaders across the organization to enable system improvement outcomes.
    • Collaborates with Senior Leadership Team on data-driven innovations and preparation of confidential analytical analysis and briefings for the Board as required, and using information at the national, provincial and regional levels in addition to corporate information sources.
    • Builds effective relationships with internal/external partners and ensures alignment.
    • Holds responsibility for hiring, supervising, disciplining and terminating team staff members. Escalates tactical and strategic capacity issues to Data Science Manager.

    Qualifications

    PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Healthcare Research, Math, Physics or a related Engineering degree and seven (7) years’ experience developing advanced analytics solutions preferably in the Health Care industry, including two (2) years’ leadership experience, or an equivalent combination of education, training and experience.

    Experience in the following areas is also required:

    • Installing data architectures on-prem infrastructure and Cloud providers (e.g. MS Azure, AWS), using DevOps tools;
    • Automating data pipelines for model building, testing, validation and deployment;
    • Working on Data bricks, PySpark, Azure Data Factory and other Azure data solutions ecosystems;
    • Working on data-intensive projects, using modern data platforms and tools and advanced analytics methods and approaches;
    • Working on large language models such as developed by OpenAI, Meta, Google;
    • Managing and analyzing large scale structured and unstructured data using a data and analytics programming language, preferably Python; and
    • Analytics and optimization frameworks and packages such as Numpy, Scipy, Pandas, Gurobi, CPLEX, Xpress, Simulated Annealing;
    • Data visualization tools such as PowerBI;
    • Change management processes and with project management methodologies.

    COMPETENCIES:

    Demonstrates the leadership practices of the Fraser Health Leadership Framework of Clear, Caring and Courageous and creates the conditions for people to succeed.

    Professional/Technical Capabilities

    • Demonstrated ability in building and leading an advanced analytics & ML/AI team with diverse and complementary strengths, and in coaching, mentoring and providing opportunities for growth and technical development.
    • Expertise in the fields of data science, optimization (operational research) and artificial intelligence, including building models and developing algorithms for optimization, machine learning, statistics, mathematical programming, and simulation in the Health Care industry.
    • Ability to lead cross-functional teams to drive operationalization of analytic products and help teams transform processes through analytics in a unified direction as well as an ability to influence leadership and executives using consultative, project and change management approaches.
    • Knowledge of end-to-end implementation in data analytics solutions (data ingestion, processing, provisioning and visualization) for largescale and complex environments.
    • Knowledge of distributed computing solutions and ability to leverage them towards gaining faster insights from data.
    • Knowledge of Data Management, Data Governance, and technical architecture required to enable advanced analytics capabilities.
    • General knowledge of current health care issues and trends.
    • Proven ability to communicate complex concepts and insights verbally and in writing to colleagues and clients with varying degrees of technical knowledge.
    • Outstanding people leadership skills with a keen focus on developing and fostering an innovative and engaged culture.
    • Demonstrated ability in managing complex analytics projects as part of an overall program and leading them across all phases including project planning, business discovery, data discovery, implementation, business readiness and roll out.
    • Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights.
    • Demonstrated ability to drive change and influence across enterprise.
    • Demonstrated ability in building and maintaining effective working relationships with business leaders, partners, users and partners to integrate programs into overall strategic objectives.
    • Demonstrated ability to exercise sound judgment, critical thinking and effective decision making.
    • Demonstrated ability to respond to changing priorities and unforeseen circumstances.
    • Demonstrated ability to effectively manage budget and staff resources.
    • Physical ability to perform the duties of the job.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3965983668,https://ca.linkedin.com/jobs/view/fitl-data-scientist-at-fujitsu-3965983668?position=47&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=XFTxjwi5f3TYFQzzHScvFg%3D%3D&trk=public_jobs_jserp-result_search-card,FITL Data Scientist,Fujitsu,"Vancouver, British Columbia, Canada","Job Description + +Fujitsu Intelligence Technology + +Fujitsu Intelligence Technology Limited (FITL) is an emerging center of excellence and forward-looking innovation center in Fujitsu’s global operations for data science, artificial intelligence, optimization, and digital transformation. Located in Vancouver, Canada, and operating as a gateway to Fujitsu’s profound global engineering and innovation ecosystem, FITL is positioned as a digital transformation catalyst, working to grow Fujitsu’s AI and optimization business in North America and globally. + +Comprised of a diverse and talented team of professionals committed to helping Fujitsu’s customers navigate an increasingly digital world, FITL believes that employee development, health and wellbeing, work-life balance, and diversity and inclusion are as important to them as being leaders in digital innovation. FITL’s goal is to create an environment where employees feel free to be their authentic selves at work and realize their full potential all while working collaboratively together to co-create transformative solutions at the heart of reimagining how businesses and society can thrive in this millennium. + +Position Summary + +We're looking for an experienced Data Scientist to join Fujitsu's AI and optimization team to help solve real-world challenges facing society and businesses across different industries, including manufacturing, healthcare, pharmaceutical, oil and gas, and financial services. + +As a Data Scientist, you are passionate about solving problems that make a difference to people, business, and society. You will play a crucial role in identifying and developing innovative advanced analytics solutions & services to support business outcomes. In this position, you will be working in a fast-paced, collaborative team environment to solve customer problems through data, using best-of-breed open source and proprietary technologies. + +About The Position + +A successful candidate will perform the following: + + +Collaborate with our clients and internal stakeholders to understand business processes, identify opportunities, and propose approaches to challenges in a consultative manner +Design, develop and lead the implementation of cloud or on-premises analytics solutions +Acquire, explore, analyze, visualize, cleanse, and transform large sets of data from various external or internal sources +Select and apply appropriate algorithms, methods, and tools +Create scalable data pipelines and machine learning systems +Clearly and objectively communicate progress, results, and insights to clients +Investigate, define, select, and promote the use of processes, tools, frameworks, and best practices +Share ideas and expertise with colleagues in a collaborative team environment + + +Basic Qualifications + +We recognize that not every candidate will meet every qualification listed in our job description. However, we value diverse perspectives and experiences, and we believe in hiring individuals who bring unique strengths to our team. If you are passionate about this role and our mission, we encourage you to apply even if your qualifications do not perfectly align with the requirements. You may be the ideal candidate for this or other opportunities within our organization. We are committed to fostering an inclusive and diverse workplace and look forward to learning more about what you can contribute + + +Master’s or PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Finance, Math, Physics or a related Engineering degree +3+ years of applied experience in data science +Experience in Data Science using machine learning frameworks and packages such as Scikit-learn, PyTorch, and Huggingface +Experience working with software development tools including git +Experience working in an Agile development environment, including participation in sprints, stand-ups, and retrospectives +Proven ability to communicate complex concepts and insights verbally and in writing to colleagues and clients with varying degrees of technical knowledge +Organized, articulate, team player, open to collaborative workstyles and able to manage multiple deliverables for different projects at any given time +Familiarity and willingness to work in cross-cultural and geo-diverse teams + + +Preferred Qualifications + + +Experience in designing and building production analytics solutions +Consulting or experience in a client-facing role +Experience with optimization solvers such as Gurobi, CPLEX, Xpress, Simulated Annealing +Experience with visualization platforms such as Tableau and PowerBI +Experience with relational databases, SQL, and data modeling + + +Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $94,707.20 to $118,384.00 CAD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance. + +As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, RRSP, and other benefits. + +About Us + +Fujitsu at a Glance + +Fujitsu is a leading information and communication technology (ICT) company, headquartered in Japan, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. + +We are a corporate culture that places great value on the pursuit of new possibilities previously unimagined and brings them to fruition. This has been the foundation of Fujitsu’s success since its inception. In an increasingly competitive world, in which the pace of change continues to accelerate, Fujitsu must strive for continuous innovation. Each and every employee will rise to the challenge of creating new value amid changes in the management environment, technology, society and the marketplace. With a spirit of challenge, we are committed to the continuous creation of new value. Fujitsu wants innovators like you! + +At Fujitsu, one of our corporate principles is ""We respect human rights."" This principle underpins all our corporate and individual activities and guides the actions of every Fujitsu Group member. We embrace diversity and equal opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, ethnic or national origin, citizenship, political belief, social condition, family, marital or civil status, genetics, disability, age, veteran status, or conviction of an offence that is unrelated to employment. By empowering people, we can unleash our collective strengths to create a better experience for our employees, our customers, and our partners. +Show more ","
    + + + + + +
    +
    + Job Description

    Fujitsu Intelligence Technology

    Fujitsu Intelligence Technology Limited (FITL) is an emerging center of excellence and forward-looking innovation center in Fujitsu’s global operations for data science, artificial intelligence, optimization, and digital transformation. Located in Vancouver, Canada, and operating as a gateway to Fujitsu’s profound global engineering and innovation ecosystem, FITL is positioned as a digital transformation catalyst, working to grow Fujitsu’s AI and optimization business in North America and globally.

    Comprised of a diverse and talented team of professionals committed to helping Fujitsu’s customers navigate an increasingly digital world, FITL believes that employee development, health and wellbeing, work-life balance, and diversity and inclusion are as important to them as being leaders in digital innovation. FITL’s goal is to create an environment where employees feel free to be their authentic selves at work and realize their full potential all while working collaboratively together to co-create transformative solutions at the heart of reimagining how businesses and society can thrive in this millennium.

    Position Summary

    We're looking for an experienced Data Scientist to join Fujitsu's AI and optimization team to help solve real-world challenges facing society and businesses across different industries, including manufacturing, healthcare, pharmaceutical, oil and gas, and financial services.

    As a Data Scientist, you are passionate about solving problems that make a difference to people, business, and society. You will play a crucial role in identifying and developing innovative advanced analytics solutions & services to support business outcomes. In this position, you will be working in a fast-paced, collaborative team environment to solve customer problems through data, using best-of-breed open source and proprietary technologies.

    About The Position

    A successful candidate will perform the following:

    • Collaborate with our clients and internal stakeholders to understand business processes, identify opportunities, and propose approaches to challenges in a consultative manner
    • Design, develop and lead the implementation of cloud or on-premises analytics solutions
    • Acquire, explore, analyze, visualize, cleanse, and transform large sets of data from various external or internal sources
    • Select and apply appropriate algorithms, methods, and tools
    • Create scalable data pipelines and machine learning systems
    • Clearly and objectively communicate progress, results, and insights to clients
    • Investigate, define, select, and promote the use of processes, tools, frameworks, and best practices
    • Share ideas and expertise with colleagues in a collaborative team environment

    Basic Qualifications

    We recognize that not every candidate will meet every qualification listed in our job description. However, we value diverse perspectives and experiences, and we believe in hiring individuals who bring unique strengths to our team. If you are passionate about this role and our mission, we encourage you to apply even if your qualifications do not perfectly align with the requirements. You may be the ideal candidate for this or other opportunities within our organization. We are committed to fostering an inclusive and diverse workplace and look forward to learning more about what you can contribute

    • Master’s or PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Finance, Math, Physics or a related Engineering degree
    • 3+ years of applied experience in data science
    • Experience in Data Science using machine learning frameworks and packages such as Scikit-learn, PyTorch, and Huggingface
    • Experience working with software development tools including git
    • Experience working in an Agile development environment, including participation in sprints, stand-ups, and retrospectives
    • Proven ability to communicate complex concepts and insights verbally and in writing to colleagues and clients with varying degrees of technical knowledge
    • Organized, articulate, team player, open to collaborative workstyles and able to manage multiple deliverables for different projects at any given time
    • Familiarity and willingness to work in cross-cultural and geo-diverse teams

    Preferred Qualifications

    • Experience in designing and building production analytics solutions
    • Consulting or experience in a client-facing role
    • Experience with optimization solvers such as Gurobi, CPLEX, Xpress, Simulated Annealing
    • Experience with visualization platforms such as Tableau and PowerBI
    • Experience with relational databases, SQL, and data modeling

    Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $94,707.20 to $118,384.00 CAD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.

    As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, RRSP, and other benefits.

    About Us

    Fujitsu at a Glance

    Fujitsu is a leading information and communication technology (ICT) company, headquartered in Japan, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers.

    We are a corporate culture that places great value on the pursuit of new possibilities previously unimagined and brings them to fruition. This has been the foundation of Fujitsu’s success since its inception. In an increasingly competitive world, in which the pace of change continues to accelerate, Fujitsu must strive for continuous innovation. Each and every employee will rise to the challenge of creating new value amid changes in the management environment, technology, society and the marketplace. With a spirit of challenge, we are committed to the continuous creation of new value. Fujitsu wants innovators like you!

    At Fujitsu, one of our corporate principles is ""We respect human rights."" This principle underpins all our corporate and individual activities and guides the actions of every Fujitsu Group member. We embrace diversity and equal opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, ethnic or national origin, citizenship, political belief, social condition, family, marital or civil status, genetics, disability, age, veteran status, or conviction of an offence that is unrelated to employment. By empowering people, we can unleash our collective strengths to create a better experience for our employees, our customers, and our partners. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-25,[] +3980932375,https://ca.linkedin.com/jobs/view/field-applications-engineer-software-at-lumotive-3980932375?position=48&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=IUoNYS3GHf%2BFqml7ZVa31w%3D%3D&trk=public_jobs_jserp-result_search-card,Field Applications Engineer (Software),Lumotive,"Vancouver, British Columbia, Canada","Company Description + +Lumotive's revolutionary programmable optical semiconductors enhance perception, boost computing power, and ensure robust high-speed communication across various markets. + +The award-winning, highly patented Light Control Metasurface (LCM™) chip is the first commercially available software-defined photonic beamforming solid-state technology addressing critical gaps in multiple industries, from 3D sensing to AI computing. + +Our LCM™ chip has already secured multiple design wins in our initial market, positioning it at the forefront of the 3D sensing evolution. By merging lidar and ToF camera technologies, it caters to a wide range of markets, including consumer electronics, robotics, industrial, and automotive sectors. + +Lumotive was named Fast Company’s Next Big Thing in Tech and won two CES Innovation Awards. Headquartered in Redmond, WA, with offices in San Jose, CA, and Vancouver, Canada, Lumotive is backed by notable investors, including Gates Frontier, MetaVC Partners, Quan Funds, Samsung Ventures, and Uniquest. + +Job Description + +We are seeking a versatile and highly motivated Software Field Applications Engineer (FAE) to provide first-level support for our customers across the full software stack, from the applications layer down to embedded firmware. This individual will be passionate about learning and becoming an expert on our existing products, while also contributing to sustaining them. The ideal candidate will possess excellent communication and technical writing skills, and be eager to create application-specific demonstrations to showcase the uniqueness of our solutions. + +Key Responsibilities + + +Customer Support and Engagement: +Serve as the first point of contact for customer inquiries and technical support related to our software stack. +Provide hands-on assistance to customers, troubleshooting issues, and guiding them through problem resolution. +Collaborate with internal engineering teams to escalate and resolve more complex issues. +Technical Expertise and Learning: +Continuously learn and stay updated on our lidar technology, software stack, and product features. +Develop deep expertise in existing products to provide effective support and sustainment. +Documentation and Knowledge Base: +Create and update technical documentation, including user guides, FAQs, and troubleshooting articles. +Contribute to the development and maintenance of the company's knowledge base. +Demonstrations and Applications: +Work hands-on with lidar sensors to create application-specific demonstrations. +Develop demos and prototypes to highlight the unique features and advantages of our solutions. +Present technical demonstrations to customers, showcasing product capabilities and use cases. +Communication and Collaboration: +Communicate effectively with customers, understanding their needs and providing clear, concise support. +Collaborate with cross-functional teams, including hardware and software engineering, to ensure comprehensive support. + + + +Qualifications + + +Bachelor’s degree in computer science, Electrical Engineering, or a related field. +3+ years of experience in a technical support or field applications engineering role. +Strong technical background with experience in software development, embedded systems, and firmware. +Proficiency with programming languages (e.g., C, C++, Python) and software tools. +Excellent problem-solving skills and a passion for continuous learning. +Exceptional communication and technical writing skills. +Hands-on experience with lidar technology or sensors is highly desirable. +Ability to create and present technical demonstrations and prototypes. +Willingness to travel occasionally to customer sites or industry events. + + + +Additional Information + +Base salary range is $108,000 to $120,000(CAD) + Performance based Quarterly Bonus + Equity depending on experience. + +Benefits + + +Health Insurance +Dental +Vision +14 Paid Holidays +Company paid Benefits +Life Insurance +Long Term Disability +Short Term Disability + +Lumotive is an equal opportunity employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or any other legally protected status. + +All your information will be kept confidential. +Show more ","
    + + + + + +
    +
    + Company Description

    Lumotive's revolutionary programmable optical semiconductors enhance perception, boost computing power, and ensure robust high-speed communication across various markets.

    The award-winning, highly patented Light Control Metasurface (LCM™) chip is the first commercially available software-defined photonic beamforming solid-state technology addressing critical gaps in multiple industries, from 3D sensing to AI computing.

    Our LCM™ chip has already secured multiple design wins in our initial market, positioning it at the forefront of the 3D sensing evolution. By merging lidar and ToF camera technologies, it caters to a wide range of markets, including consumer electronics, robotics, industrial, and automotive sectors.

    Lumotive was named Fast Company’s Next Big Thing in Tech and won two CES Innovation Awards. Headquartered in Redmond, WA, with offices in San Jose, CA, and Vancouver, Canada, Lumotive is backed by notable investors, including Gates Frontier, MetaVC Partners, Quan Funds, Samsung Ventures, and Uniquest.

    Job Description

    We are seeking a versatile and highly motivated Software Field Applications Engineer (FAE) to provide first-level support for our customers across the full software stack, from the applications layer down to embedded firmware. This individual will be passionate about learning and becoming an expert on our existing products, while also contributing to sustaining them. The ideal candidate will possess excellent communication and technical writing skills, and be eager to create application-specific demonstrations to showcase the uniqueness of our solutions.

    Key Responsibilities

    • Customer Support and Engagement:
    • Serve as the first point of contact for customer inquiries and technical support related to our software stack.
    • Provide hands-on assistance to customers, troubleshooting issues, and guiding them through problem resolution.
    • Collaborate with internal engineering teams to escalate and resolve more complex issues.
    • Technical Expertise and Learning:
    • Continuously learn and stay updated on our lidar technology, software stack, and product features.
    • Develop deep expertise in existing products to provide effective support and sustainment.
    • Documentation and Knowledge Base:
    • Create and update technical documentation, including user guides, FAQs, and troubleshooting articles.
    • Contribute to the development and maintenance of the company's knowledge base.
    • Demonstrations and Applications:
    • Work hands-on with lidar sensors to create application-specific demonstrations.
    • Develop demos and prototypes to highlight the unique features and advantages of our solutions.
    • Present technical demonstrations to customers, showcasing product capabilities and use cases.
    • Communication and Collaboration:
    • Communicate effectively with customers, understanding their needs and providing clear, concise support.
    • Collaborate with cross-functional teams, including hardware and software engineering, to ensure comprehensive support.


    Qualifications

    • Bachelor’s degree in computer science, Electrical Engineering, or a related field.
    • 3+ years of experience in a technical support or field applications engineering role.
    • Strong technical background with experience in software development, embedded systems, and firmware.
    • Proficiency with programming languages (e.g., C, C++, Python) and software tools.
    • Excellent problem-solving skills and a passion for continuous learning.
    • Exceptional communication and technical writing skills.
    • Hands-on experience with lidar technology or sensors is highly desirable.
    • Ability to create and present technical demonstrations and prototypes.
    • Willingness to travel occasionally to customer sites or industry events.


    Additional Information

    Base salary range is $108,000 to $120,000(CAD) + Performance based Quarterly Bonus + Equity depending on experience.

    Benefits

    • Health Insurance
    • Dental
    • Vision
    • 14 Paid Holidays
    • Company paid Benefits
      • Life Insurance
      • Long Term Disability
      • Short Term Disability
    Lumotive is an equal opportunity employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or any other legally protected status.

    All your information will be kept confidential. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-23,[] +3980792980,https://ca.linkedin.com/jobs/view/lead-sdet-qa-at-zortech-solutions-3980792980?position=49&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=PZ5g9q3zY0Yep8Xgolnq6A%3D%3D&trk=public_jobs_jserp-result_search-card,Lead SDET-QA,Zortech Solutions,"Vancouver, British Columbia, Canada","Job Title: Lead SDET-QA + +Duration: Contract / Full Time + +Location: Onsite in Vancouver BC + +Job Description: + +Data QA experience - Be able to research, test, create test cases, attention to detail. + +Intermediate to Advanced SQL skills. This individual needs to be capable of creating complex queries and leveraging SQL for testing batch & real-time data. + +3+ years' experience with data-centric testing in Business Intelligence/Data Engineering projects. This individual needs to have hands-on experience with ETL testing & BI reports testing (ideally with PowerBi). + +3+ years' experience with test automation in a DevOps environment. This individual will be involved in creating and executing scripts, and both integrating and running these through the CI/CD pipelines. + +Nice to Haves: Kafka, running pipelines in ADF (Azure Data Factory), Snowflake + +Job Description: + +Identify and execute regression scenarios using automation scripts. + +Strive for continuous improvement of QA practices. + +Self-learn new technologies and deliver on them. + +Understand, leverage, and apply best practices effectively. + +Collaborate with cross-functional teams business stakeholders, engineers, program management, project management, etc. - to produce the best testing solutions possible. + +Contribute to story sizing and work on estimates for test planning, execution, delivery, and documentation. + +Ensure quality test deliverables with thorough test coverage. + +Able to work as an individual contributor as well as a team player. + +Additional Skills & Qualifications: + +BS in Computer Science or related + +QA + team lead experience. + +8+ years of experience as SDET in BI space is needed + +Experience in ETL/DWH and BI reports testing. + +Proficient in complex SQL scripting. + +Expertise in creating test automation scripts. + +Able to create test strategy, test cases, test execution & reporting. + +Expertise in testing both batch & real-time data using SQL queries. + +Working experience with reporting layer - Power BI is desirable. + +Experience working with large volume data. + +Retail experience strongly desired. + +Working knowledge of CI/CD model. + +Experience working with cloud-based systems - Azure & Snowflake data warehouses. + +Working knowledge of building data integrity checks as part of delivery of applications. + +Able to work as an individual contributor as well as a team player. + +Communicates with honesty, kindness and creates the space for others to do the same. + +Fosters connection by putting people first and building trusting relationships. + +Integrates fun and joy as a way of being and working, aka doesn't take themselves too seriously. +Show more ","
    + + + + + +
    +
    + Job Title: Lead SDET-QA

    Duration: Contract / Full Time

    Location: Onsite in Vancouver BC

    Job Description:

    Data QA experience - Be able to research, test, create test cases, attention to detail.

    Intermediate to Advanced SQL skills. This individual needs to be capable of creating complex queries and leveraging SQL for testing batch & real-time data.

    3+ years' experience with data-centric testing in Business Intelligence/Data Engineering projects. This individual needs to have hands-on experience with ETL testing & BI reports testing (ideally with PowerBi).

    3+ years' experience with test automation in a DevOps environment. This individual will be involved in creating and executing scripts, and both integrating and running these through the CI/CD pipelines.

    Nice to Haves: Kafka, running pipelines in ADF (Azure Data Factory), Snowflake

    Job Description:

    Identify and execute regression scenarios using automation scripts.

    Strive for continuous improvement of QA practices.

    Self-learn new technologies and deliver on them.

    Understand, leverage, and apply best practices effectively.

    Collaborate with cross-functional teams business stakeholders, engineers, program management, project management, etc. - to produce the best testing solutions possible.

    Contribute to story sizing and work on estimates for test planning, execution, delivery, and documentation.

    Ensure quality test deliverables with thorough test coverage.

    Able to work as an individual contributor as well as a team player.

    Additional Skills & Qualifications:

    BS in Computer Science or related

    QA + team lead experience.

    8+ years of experience as SDET in BI space is needed

    Experience in ETL/DWH and BI reports testing.

    Proficient in complex SQL scripting.

    Expertise in creating test automation scripts.

    Able to create test strategy, test cases, test execution & reporting.

    Expertise in testing both batch & real-time data using SQL queries.

    Working experience with reporting layer - Power BI is desirable.

    Experience working with large volume data.

    Retail experience strongly desired.

    Working knowledge of CI/CD model.

    Experience working with cloud-based systems - Azure & Snowflake data warehouses.

    Working knowledge of building data integrity checks as part of delivery of applications.

    Able to work as an individual contributor as well as a team player.

    Communicates with honesty, kindness and creates the space for others to do the same.

    Fosters connection by putting people first and building trusting relationships.

    Integrates fun and joy as a way of being and working, aka doesn't take themselves too seriously. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-23,[] +3945043624,https://ca.linkedin.com/jobs/view/software-engineer-data-at-autodesk-3945043624?position=51&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=24rAdDc%2BF2dNzfNrdvqE0A%3D%3D&trk=public_jobs_jserp-result_search-card,"Software Engineer, Data",Autodesk,"Vancouver, British Columbia, Canada","Job Requisition ID # + +24WD79318 + +Position Overview + +The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. + +As a Software Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers to build new ML-powered product features that will help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You have experience building scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a strong software engineering base. You are excited to collaborate with AI researchers to build state-of-the-art generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product. + +Location: The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both. + +Responsibilities + + +Collaborate on engineering projects for product with a diverse, global team of researchers and engineers +Develop and deploy highly scalable distributed systems to process, filter, and deploy datasets for use with machine learning +Process large, unstructured, disparate multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning +Conduct and analyze experiments on data to provide insights +Produce data visualizations and summaries to communicate data characteristics to researchers and leadership +Work with our legal and trust teams to ensure compliant and ethical use of data +Develop and deploy data pipelines into secure remote environments respecting and demonstrating security best practices +Writing robust, testable code that is well documented and easy to understand +Analyze errors and provide solutions to problems that arise + + +Minimum Qualifications + + +BSc or MSc in Computer Science, or equivalent industry experience +Experience with software version control, unit tests, and deployment pipelines +Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry +Experience with cloud services & architectures (AWS, Azure, etc.) +Excellent written communication skills to document code, architectures, and experiments +Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) +Experience with frameworks such as Ray data, Metaflow, Hadoop, Spark, or Hive +Experience with vector data stores +Proficiency with Linux systems and bash terminals +Knowledge of cloud architectures and networking + + +Preferred Qualifications + + +Experience with computational geometry such as mesh or boundary representation data processing +Experience with CAD model search and retrieval, in PLM systems or other searchable CAD databases +Knowledge of statistics +Ability to analyze data and communicate results effectively using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others +Knowledge of the design, manufacturing, AEC, or media & entertainment industries +Experience with Autodesk or similar products (CAD, CAE, CAM, etc.) + + +The Ideal Candidate + + +A self-starter with initiative to search for solutions and execute on problems with minimal supervision +Comfortable building prototypes from scratch as well as writing maintainable code within existing codebases +A curious, creative problem-solver who is excited to learn & develop new technologies +A fast learner & excellent communicator who can effectively collaborate across global locations +Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills +Takes a great satisfaction in building scalable and maintainable systems that will be relied on by others + + +At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. + +Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers. +Show more ","
    + + + + + +
    +
    + Job Requisition ID #

    24WD79318

    Position Overview

    The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

    As a Software Engineer at Autodesk Research, you will be working side-by-side with world-class researchers and engineers to build new ML-powered product features that will help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You have experience building scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a strong software engineering base. You are excited to collaborate with AI researchers to build state-of-the-art generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product.

    Location: The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.

    Responsibilities

    • Collaborate on engineering projects for product with a diverse, global team of researchers and engineers
    • Develop and deploy highly scalable distributed systems to process, filter, and deploy datasets for use with machine learning
    • Process large, unstructured, disparate multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning
    • Conduct and analyze experiments on data to provide insights
    • Produce data visualizations and summaries to communicate data characteristics to researchers and leadership
    • Work with our legal and trust teams to ensure compliant and ethical use of data
    • Develop and deploy data pipelines into secure remote environments respecting and demonstrating security best practices
    • Writing robust, testable code that is well documented and easy to understand
    • Analyze errors and provide solutions to problems that arise

    Minimum Qualifications

    • BSc or MSc in Computer Science, or equivalent industry experience
    • Experience with software version control, unit tests, and deployment pipelines
    • Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry
    • Experience with cloud services & architectures (AWS, Azure, etc.)
    • Excellent written communication skills to document code, architectures, and experiments
    • Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
    • Experience with frameworks such as Ray data, Metaflow, Hadoop, Spark, or Hive
    • Experience with vector data stores
    • Proficiency with Linux systems and bash terminals
    • Knowledge of cloud architectures and networking

    Preferred Qualifications

    • Experience with computational geometry such as mesh or boundary representation data processing
    • Experience with CAD model search and retrieval, in PLM systems or other searchable CAD databases
    • Knowledge of statistics
    • Ability to analyze data and communicate results effectively using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others
    • Knowledge of the design, manufacturing, AEC, or media & entertainment industries
    • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

    The Ideal Candidate

    • A self-starter with initiative to search for solutions and execute on problems with minimal supervision
    • Comfortable building prototypes from scratch as well as writing maintainable code within existing codebases
    • A curious, creative problem-solver who is excited to learn & develop new technologies
    • A fast learner & excellent communicator who can effectively collaborate across global locations
    • Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
    • Takes a great satisfaction in building scalable and maintainable systems that will be relied on by others

    At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

    Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-26,[] +3915610668,https://ca.linkedin.com/jobs/view/gameplay-software-engineer-at-ea-sports-3915610668?position=56&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=LLm%2FFlbQobMkta%2FqyEGT3g%3D%3D&trk=public_jobs_jserp-result_search-card,Gameplay Software Engineer,EA SPORTS,"Vancouver, British Columbia, Canada","Gameplay Programmers are versatile generalists who focus on game strategy and the ""feel"" of a game. However, they will inevitably be involved with the more specialized areas of the game's development, such as graphics and sound. Gameplay programmers may implement strategy tables, tweak input code, or adjust other factors that alter the game. You will report to the Senior Engineer and work with your peers to deliver gameplay features envisioned by producers and designers. + +Your Responsibilities + + +Bring the vision of the artists and designers to life. +Design and write the code that runs and controls the game, incorporating and adapting existing libraries and writing custom code. +Prototype new mechanics to prove designs and improve on mechanics. +Design technical designs for Gameplay systems. +Develop tools and workflows to produce new game features. +Work with a proprietary engine to develop shareable code and interface correctly with the engine. + + +Your Qualifications + + +Bachelor's degree in computer science or related field, or equivalent training and professional experience +3+ years of experience working with C++ +3+ years of experience working in a gameplay engineering domain. +Experience architecting and implementing A.I., character control, path finding, multiplayer, or other gameplay-related systems. +Understand performance implication of Gameplay systems & algorithms and how to improve. + + +Bc Compensation And Benefits + +The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location. + +EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, geographic location, and business or organizational needs. + +BASE SALARY RANGES + + +British Columbia (depending on location e.g. Vancouver vs. Victoria): + + +º $115,100 - $161,200 CAN Annually + +Base salary is just one part of the compensation at EA. We also offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. +Show more ","
    + + + + + +
    +
    + Gameplay Programmers are versatile generalists who focus on game strategy and the ""feel"" of a game. However, they will inevitably be involved with the more specialized areas of the game's development, such as graphics and sound. Gameplay programmers may implement strategy tables, tweak input code, or adjust other factors that alter the game. You will report to the Senior Engineer and work with your peers to deliver gameplay features envisioned by producers and designers.

    Your Responsibilities

    • Bring the vision of the artists and designers to life.
    • Design and write the code that runs and controls the game, incorporating and adapting existing libraries and writing custom code.
    • Prototype new mechanics to prove designs and improve on mechanics.
    • Design technical designs for Gameplay systems.
    • Develop tools and workflows to produce new game features.
    • Work with a proprietary engine to develop shareable code and interface correctly with the engine.

    Your Qualifications

    • Bachelor's degree in computer science or related field, or equivalent training and professional experience
    • 3+ years of experience working with C++
    • 3+ years of experience working in a gameplay engineering domain.
    • Experience architecting and implementing A.I., character control, path finding, multiplayer, or other gameplay-related systems.
    • Understand performance implication of Gameplay systems & algorithms and how to improve.

    Bc Compensation And Benefits

    The base salary ranges listed below are for the defined geographic market pay zones in these locations. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location.

    EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, geographic location, and business or organizational needs.

    BASE SALARY RANGES

    • British Columbia (depending on location e.g. Vancouver vs. Victoria):

    º $115,100 - $161,200 CAN Annually

    Base salary is just one part of the compensation at EA. We also offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-23,[] +3970754943,https://ca.linkedin.com/jobs/view/machine-learning-engineer-shop-ads-at-tiktok-3970754943?position=58&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=%2Bsv0Mr0mY%2BXj0pM0fb34gw%3D%3D&trk=public_jobs_jserp-result_search-card,"Machine Learning Engineer, Shop Ads",TikTok,"Vancouver, British Columbia, Canada","Responsibilities + +TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. + +Why Join Us +Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. +Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. +To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. +At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. +Join us. + +TikTok Closed-loop Shop Ads team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong Machine Learning Engineers who are excited to grow their business understanding, build highly scalable and reliable software, and partner across disciplines with global teams in pursuit of excellence. + +What You'll Do +• Apply state-of-the-art machine learning techniques to optimize advertisers' marketing strategies. +• Connect with businesses directly to understand and develop solutions for their jobs-to-be-done. +• Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok. +• Capitalize on the organic shopping behaviors on TikTok today and facilitate retentive behaviors to provide more people value and business value. + +Qualifications + +Minimum Qualifications: +• BS/MS degree in Computer Science or similar fields, with related industry experience. +• Solid programming skills, proficient in Python/Golang/Java/C/C++. +• Familiarity with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet) and its architecture and implementation mechanism. +• Familiarity with deep learning algorithms (CNN/RNN/LSTM, etc.). +• Team-player with strong communication skills who can also work independently. + +Preferred Qualifications: +• Familiarity with main components for Ads systems, including bidding, ranking, and auction. +• Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow). + +TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. + +TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2 + +Job Information: + +【For Pay Transparency】Compensation Description (annually) + +The base salary range for this position in the selected city is CAD$ 117000- CAD$ 210960 annually.​ + +Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​ + +The compensation for this position is based on a monthly compensation structure. The range specified is the expected annual compensation for a person in this position.​ + +Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:​ + +We cover 100% premium coverage for employee and dependent's extended health care insurance. As well as Short/Long term Disability, Basic Life, Survivor Benefit and AD&D insurance plans.​ + +Our time off and leave plans are: 11 paid holidays per year plus 19 days of vacation (prorated upon hire and increased by tenure) and 7 paid sick days per year as well as 13 weeks of supplemental paid maternity leave top-up and 10 weeks of Supplemental Paid Parental Leave top-up.​ + +We also provide generous benefits such as RRSP company match, EAP, gym and cell phone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​ + +Show more ","
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    +
    + Responsibilities

    TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

    Why Join Us
    Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
    Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
    To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
    At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
    Join us.

    TikTok Closed-loop Shop Ads team has a strong user focus and a dedication to technical excellence. We aim to meet our users' needs with reliable and high-performing platforms and services. We are looking for strong Machine Learning Engineers who are excited to grow their business understanding, build highly scalable and reliable software, and partner across disciplines with global teams in pursuit of excellence.

    What You'll Do
    • Apply state-of-the-art machine learning techniques to optimize advertisers' marketing strategies.
    • Connect with businesses directly to understand and develop solutions for their jobs-to-be-done.
    • Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
    • Capitalize on the organic shopping behaviors on TikTok today and facilitate retentive behaviors to provide more people value and business value.

    Qualifications

    Minimum Qualifications:
    • BS/MS degree in Computer Science or similar fields, with related industry experience.
    • Solid programming skills, proficient in Python/Golang/Java/C/C++.
    • Familiarity with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet) and its architecture and implementation mechanism.
    • Familiarity with deep learning algorithms (CNN/RNN/LSTM, etc.).
    • Team-player with strong communication skills who can also work independently.

    Preferred Qualifications:
    • Familiarity with main components for Ads systems, including bidding, ranking, and auction.
    • Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).

    TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

    TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

    Job Information:

    【For Pay Transparency】Compensation Description (annually)

    The base salary range for this position in the selected city is CAD$ 117000- CAD$ 210960 annually.

    Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

    The compensation for this position is based on a monthly compensation structure. The range specified is the expected annual compensation for a person in this position.

    Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

    We cover 100% premium coverage for employee and dependent's extended health care insurance. As well as Short/Long term Disability, Basic Life, Survivor Benefit and AD&D insurance plans.

    Our time off and leave plans are: 11 paid holidays per year plus 19 days of vacation (prorated upon hire and increased by tenure) and 7 paid sick days per year as well as 13 weeks of supplemental paid maternity leave top-up and 10 weeks of Supplemental Paid Parental Leave top-up.

    We also provide generous benefits such as RRSP company match, EAP, gym and cell phone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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    + +
    ",2024-07-31,[] +3984650300,https://ca.linkedin.com/jobs/view/senior-data-scientist-caadsi-at-fraser-health-authority-3984650300?position=59&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=H%2BwgWZPVYi3CUUSEkisXaA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist (CAADSI),Fraser Health Authority,"Surrey, British Columbia, Canada","Fraser Health is responsible for the delivery of hospital and community-based health services to over 1.9 million people in 20 diverse communities from Burnaby to Fraser Canyon on the traditional territories of the Coast Salish and Nlaka’pamux Nations. Our team of 48,000+ staff, medical staff and volunteers is dedicated to serving our patients, families and communities to deliver on our vision: Better health, best in health care. + + + + +As a Senior Data Scientist you will be responsible for the assigned machine learning and artificial intelligence (ML/AI) projects, providing end-to-end technical execution and project management across a multi-disciplinary technical team comprised of Senior Operations Engineers, Operations Research Scientists, Data Scientists, Data Analysts, Solutions Architect and Data Engineers. The Senior Data Scientist will design, develop and deploy cloud or on-premises innovative advanced analytics, machine learning and artificial intelligence solutions to improve service quality, patient safety and patient outcomes. + + + + +At The Center for Advanced Analytics, Data Science and Innovation (CAADSI) of Fraser Health, we are looking for a Senior Data Scientist to join our agile and fast paced team. Reporting to the Director of Data Science, a senior data scientist is a multifaceted professional who plays a pivotal role in guiding a team of data scientists. They are responsible for overseeing the execution of data science projects, maintaining technical expertise, solving complex data-related challenges, collaborating with cross-functional teams, and driving the organization's data strategy. Additionally, they facilitate the growth and development of their team, ensure data quality and ethical standards, manage risks, promote innovation, and communicate effectively with non-technical stakeholders through compelling storytelling techniques. This comprehensive role blends technical acumen, leadership, project management, and strategic thinking to drive data-driven success and deliver valuable insights that impact Fraser Health's decision-making processes. + + + + +We currently have a Full Time vacancy for this role based at our Central City offices in Surrey, BC, with access to rapid transit, shopping, restaurants, on-site gym and other amenities. + + + + +Job duties: + +Provides technical direction and project oversight to the Data Scientists, ensuring clarity around priorities and goals, as well as working across functions with peers in the other Health Informatics groups to ensure collaboration for shared goals. +Guarantees best practices of data science, ML/AI and Operations Research techniques are appropriately applied to the projects, including scalable deployment of AI solutions to clinical settings as per industry standards in MLOps, alignment with the business objectives, clinical workflow, and organizational technologies and infrastructure both current and future. +Develops annual strategic roadmap within a set of assigned portfolios and programs, focused on driving transformational results through advanced analytics in conjunction with other partners, communicates our strategy with partners internal and external to FHA and tracks progress towards key milestones. +Leads the design, development, quality assurance, deployment, and transition to support of Advanced Analytics solutions utilizing optimization and data science techniques for FHA clients with scalability to health care industry clients. +Liaises with FHA HIIT, PHSA IMITS, and major Cloud vendors (Microsoft Azure, Amazon AWS) to ensure effective utilization of cloud resources to build and manage advanced analytics applications. +Supports Managing Consultants and Operations Engineers in user change management and workflow (re)designs around ML/AI solutions. + + + + +Qualifications: + +PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Healthcare Research, Math, Physics or a related Engineering degree +Seven (7) years’ experience developing advanced analytics solutions preferably in the Health Care industry, including two (2) years’ leadership experience + +An equivalent combination of education, training and experience may be considered. + + + + +Effective October 26th 2021, all new hires to Fraser Health will need to have full COVID 19 vaccination (have received a full series of a World Health Organization “WHO” approved vaccine against infection by SARS-COV-2, or a combination of approved WHO vaccines). Please note this applies to all postings, and individual medical exemptions must be approved by the Provincial Health Officer. + + + + +Curious to learn what it’s like to work here? Like us on Facebook (@fraserhealthcareers), follow us on Twitter & Instagram (@FHCareer), or connect with us on LinkedIn (fraserhealthcareers) for first-hand employee insights. + + + + +Show more ","
    + + + + + +
    +
    +

    Fraser Health is responsible for the delivery of hospital and community-based health services to over 1.9 million people in 20 diverse communities from Burnaby to Fraser Canyon on the traditional territories of the Coast Salish and Nlaka’pamux Nations. Our team of 48,000+ staff, medical staff and volunteers is dedicated to serving our patients, families and communities to deliver on our vision: Better health, best in health care.


    As a Senior Data Scientist you will be responsible for the assigned machine learning and artificial intelligence (ML/AI) projects, providing end-to-end technical execution and project management across a multi-disciplinary technical team comprised of Senior Operations Engineers, Operations Research Scientists, Data Scientists, Data Analysts, Solutions Architect and Data Engineers. The Senior Data Scientist will design, develop and deploy cloud or on-premises innovative advanced analytics, machine learning and artificial intelligence solutions to improve service quality, patient safety and patient outcomes.


    At The Center for Advanced Analytics, Data Science and Innovation (CAADSI) of Fraser Health, we are looking for a Senior Data Scientist to join our agile and fast paced team. Reporting to the Director of Data Science, a senior data scientist is a multifaceted professional who plays a pivotal role in guiding a team of data scientists. They are responsible for overseeing the execution of data science projects, maintaining technical expertise, solving complex data-related challenges, collaborating with cross-functional teams, and driving the organization's data strategy. Additionally, they facilitate the growth and development of their team, ensure data quality and ethical standards, manage risks, promote innovation, and communicate effectively with non-technical stakeholders through compelling storytelling techniques. This comprehensive role blends technical acumen, leadership, project management, and strategic thinking to drive data-driven success and deliver valuable insights that impact Fraser Health's decision-making processes.


    We currently have a Full Time vacancy for this role based at our Central City offices in Surrey, BC, with access to rapid transit, shopping, restaurants, on-site gym and other amenities.


    Job duties:

    • Provides technical direction and project oversight to the Data Scientists, ensuring clarity around priorities and goals, as well as working across functions with peers in the other Health Informatics groups to ensure collaboration for shared goals.
    • Guarantees best practices of data science, ML/AI and Operations Research techniques are appropriately applied to the projects, including scalable deployment of AI solutions to clinical settings as per industry standards in MLOps, alignment with the business objectives, clinical workflow, and organizational technologies and infrastructure both current and future.
    • Develops annual strategic roadmap within a set of assigned portfolios and programs, focused on driving transformational results through advanced analytics in conjunction with other partners, communicates our strategy with partners internal and external to FHA and tracks progress towards key milestones.
    • Leads the design, development, quality assurance, deployment, and transition to support of Advanced Analytics solutions utilizing optimization and data science techniques for FHA clients with scalability to health care industry clients.
    • Liaises with FHA HIIT, PHSA IMITS, and major Cloud vendors (Microsoft Azure, Amazon AWS) to ensure effective utilization of cloud resources to build and manage advanced analytics applications.
    • Supports Managing Consultants and Operations Engineers in user change management and workflow (re)designs around ML/AI solutions.


    Qualifications:

    • PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Healthcare Research, Math, Physics or a related Engineering degree
    • Seven (7) years’ experience developing advanced analytics solutions preferably in the Health Care industry, including two (2) years’ leadership experience

    An equivalent combination of education, training and experience may be considered.


    Effective October 26th 2021, all new hires to Fraser Health will need to have full COVID 19 vaccination (have received a full series of a World Health Organization “WHO” approved vaccine against infection by SARS-COV-2, or a combination of approved WHO vaccines). Please note this applies to all postings, and individual medical exemptions must be approved by the Provincial Health Officer.


    Curious to learn what it’s like to work here? Like us on Facebook (@fraserhealthcareers), follow us on Twitter & Instagram (@FHCareer), or connect with us on LinkedIn (fraserhealthcareers) for first-hand employee insights.


    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-25,[] +3988836984,https://ca.linkedin.com/jobs/view/junior-software-engineer-trilogy-remote-%24100-000-year-usd-at-crossover-3988836984?position=60&pageNum=0&refId=uyP0gkCDkJkBu3uwfVv0aA%3D%3D&trackingId=H%2FqDQkW%2FI22Zi3SV9tcZ%2Bw%3D%3D&trk=public_jobs_jserp-result_search-card,"Junior Software Engineer, Trilogy (Remote) - $100,000/year USD",Crossover,"Vancouver, British Columbia, Canada","Crossover is the world's #1 source of full-time remote jobs. Our clients offer top-tier pay for top-tier talent. We're recruiting this role for our client, Trilogy. Have you got what it takes? + +Ready to leverage your mastery of LLMs to drive productivity? At Trilogy, we're opening doors to an exceptional tech career, welcoming those who've honed their AI skills to elevate their expertise in a dynamic environment. We're offering a rare chance where your primary focus will be to further expand your proficiency in LLMs. + +In an industry often filled with more buzzwords than tangible progress, Trilogy stands out as a hub of genuine innovation. Our focus is on practical, real-world applications aimed at reshaping industries. Imagine creating AI-driven tools that streamline workflow, automate tasks, or enhance decision-making processes, all to significantly boost productivity. + +Your mandate? Harnessing LLMs to revolutionize how businesses operate, improving efficiency and effectiveness. You'll be architecting solutions that integrate AI seamlessly, making intricate processes more accessible and refining workflows for maximum output. Here, you won't be lost in bureaucratic hurdles or pitching ideas into the void. Instead, you'll witness the direct impact of your efforts, as your work directly influences the evolution of productivity tools. + +Ready to unleash your expertise and become a force of change? Let's explore if you're the catalyst we're seeking for this exciting opportunity! + +What You Will Be Doing + + +Designing and building high-quality AI automations to streamline processes, enhance productivity, and deliver robust, scalable solutions across diverse applications +Experimenting with state-of-the-art AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our developmental process to assess and enhance their utility +Evaluating and optimizing the implementation of AI solutions across various infrastructures, including AWS, to ensure seamless performance and integration + + +What You Won’t Be Doing + + +Traditional coding - our AI does the heavy lifting, freeing you to innovate and strategize +Being stuck on repetitive tasks - no two problems are the same + + +Junior Software Engineer Key Responsibilities + +Architecting and deploying sophisticated, fully-automated AI systems that require zero human intervention for a truly scalable impact + +Basic Requirements + + +Professional experience leveraging LLMs, such as ChatGPT, Bing, Bard, or Claude, to automate manual tasks and boost your company's productivity +At least 2 years of professional work experience +Proficiency in Python and API integration +Proficiency in AWS + + +About Trilogy + +Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. + +There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! + +Working with Crossover + +This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. + +What to expect next: + + +You will receive an email with a link to start your self-paced, online job application. +Our hiring platform will guide you through a series of online “screening” assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments. + + +Important! If you do not receive an email from us: + + +First, emails may take up to 15 minutes to send, refresh and check again. +Second, check your spam and junk folders for an email from Crossover.com, mark as “Not Spam” since you will receive other emails as well. +Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked. +If all else fails, just reset your password by visiting https://www.crossover.com/auth/password-recovery if you already applied using LinkedIn EasyApply. + + +Crossover Job Code: LJ-5105-CA-Vancouve-JuniorSoftware.018 + + +Show more ","
    + + + + + +
    +
    + Crossover is the world's #1 source of full-time remote jobs. Our clients offer top-tier pay for top-tier talent. We're recruiting this role for our client, Trilogy. Have you got what it takes?

    Ready to leverage your mastery of LLMs to drive productivity? At Trilogy, we're opening doors to an exceptional tech career, welcoming those who've honed their AI skills to elevate their expertise in a dynamic environment. We're offering a rare chance where your primary focus will be to further expand your proficiency in LLMs.

    In an industry often filled with more buzzwords than tangible progress, Trilogy stands out as a hub of genuine innovation. Our focus is on practical, real-world applications aimed at reshaping industries. Imagine creating AI-driven tools that streamline workflow, automate tasks, or enhance decision-making processes, all to significantly boost productivity.

    Your mandate? Harnessing LLMs to revolutionize how businesses operate, improving efficiency and effectiveness. You'll be architecting solutions that integrate AI seamlessly, making intricate processes more accessible and refining workflows for maximum output. Here, you won't be lost in bureaucratic hurdles or pitching ideas into the void. Instead, you'll witness the direct impact of your efforts, as your work directly influences the evolution of productivity tools.

    Ready to unleash your expertise and become a force of change? Let's explore if you're the catalyst we're seeking for this exciting opportunity!

    What You Will Be Doing

    • Designing and building high-quality AI automations to streamline processes, enhance productivity, and deliver robust, scalable solutions across diverse applications
    • Experimenting with state-of-the-art AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our developmental process to assess and enhance their utility
    • Evaluating and optimizing the implementation of AI solutions across various infrastructures, including AWS, to ensure seamless performance and integration

    What You Won’t Be Doing

    • Traditional coding - our AI does the heavy lifting, freeing you to innovate and strategize
    • Being stuck on repetitive tasks - no two problems are the same

    Junior Software Engineer Key Responsibilities

    Architecting and deploying sophisticated, fully-automated AI systems that require zero human intervention for a truly scalable impact

    Basic Requirements

    • Professional experience leveraging LLMs, such as ChatGPT, Bing, Bard, or Claude, to automate manual tasks and boost your company's productivity
    • At least 2 years of professional work experience
    • Proficiency in Python and API integration
    • Proficiency in AWS

    About Trilogy

    Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds.

    There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!

    Working with Crossover

    This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.

    What to expect next:

    • You will receive an email with a link to start your self-paced, online job application.
    • Our hiring platform will guide you through a series of online “screening” assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments.

    Important! If you do not receive an email from us:

    • First, emails may take up to 15 minutes to send, refresh and check again.
    • Second, check your spam and junk folders for an email from Crossover.com, mark as “Not Spam” since you will receive other emails as well.
    • Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked.
    • If all else fails, just reset your password by visiting https://www.crossover.com/auth/password-recovery if you already applied using LinkedIn EasyApply.

    Crossover Job Code: LJ-5105-CA-Vancouve-JuniorSoftware.018

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    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-08-05,[] +3967492222,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-visionaire-partners-3967492222?position=3&pageNum=2&refId=psT5ybRovSVk3%2FwtHI%2FH0w%3D%3D&trackingId=pRklObunvX0NvUwjV0Df0Q%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Visionaire Partners,"Vancouver, British Columbia, Canada","Senior Data Scientist + + + + +This is a tremendous opportunity for a Senior Data Scientist to join a dynamic technology company developing innovative AI solutions to automate business processes. + + + + +RESPONSIBILITIES: + +Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks. +Conduct and validate model performance through comprehensive evaluation metrics. +Analyze large datasets to extract actionable insights and trends. +Implement machine learning models into production environments ensuring scalability and reliability. +Monitor and maintain the performance of deployed models, making updates and improvements as necessary. +Work closely with data engineer and Principal ML engineer. +Stay updated with the latest advancements in machine learning, AI, and data science. + +This opportunity is a direct hire position in Vancouver. You can usually work remotely and only need to come into the office for important team meetings. This is an exciting opportunity to work on innovative AI automation projects at a growing technology firm. + +REQUIRED SKILLS: + +3+ years' as a Data Scientist with a strong understanding of MLOps including ML algorithms and experience deploying ML models/solutions to production environments +Python development experience +Experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, Scikit-Learn, etc.) +Knowledge of database technologies (such as SQL, MongoDB, Databricks) and data pipeline tools. +Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation. +Familiar with cloud platforms (such as AWS, GCP, Azure) and containerization (Docker or Kubernetes). +Ability to stay updated with the latest advancements in machine learning, AI, and data science. +Self-managed and motivated +Excellent communication skills + +PREFERRED SKILLS: + +Experience building an enterprise-class business automation solution +Large Language Models (LLM) +Azure + + + + +Must be authorized to work in the US. Sponsorships are not available. + +Show more ","
    + + + + + +
    +
    +

    Senior Data Scientist


    This is a tremendous opportunity for a Senior Data Scientist to join a dynamic technology company developing innovative AI solutions to automate business processes.


    RESPONSIBILITIES:

    • Experiment with various machine learning algorithms and techniques to identify the most suitable ones for given tasks.
    • Conduct and validate model performance through comprehensive evaluation metrics.
    • Analyze large datasets to extract actionable insights and trends.
    • Implement machine learning models into production environments ensuring scalability and reliability.
    • Monitor and maintain the performance of deployed models, making updates and improvements as necessary.
    • Work closely with data engineer and Principal ML engineer.
    • Stay updated with the latest advancements in machine learning, AI, and data science.

    This opportunity is a direct hire position in Vancouver. You can usually work remotely and only need to come into the office for important team meetings. This is an exciting opportunity to work on innovative AI automation projects at a growing technology firm.

    REQUIRED SKILLS:

    • 3+ years' as a Data Scientist with a strong understanding of MLOps including ML algorithms and experience deploying ML models/solutions to production environments
    • Python development experience
    • Experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, Scikit-Learn, etc.)
    • Knowledge of database technologies (such as SQL, MongoDB, Databricks) and data pipeline tools.
    • Familiar with ML CI/CD pipelines for development, testing, versioning, and task automation.
    • Familiar with cloud platforms (such as AWS, GCP, Azure) and containerization (Docker or Kubernetes).
    • Ability to stay updated with the latest advancements in machine learning, AI, and data science.
    • Self-managed and motivated
    • Excellent communication skills

    PREFERRED SKILLS:

    • Experience building an enterprise-class business automation solution
    • Large Language Models (LLM)
    • Azure


    Must be authorized to work in the US. Sponsorships are not available.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-09,[] +3975314595,https://ca.linkedin.com/jobs/view/machine-learning-scientist-at-darkvision-3975314595?position=4&pageNum=2&refId=psT5ybRovSVk3%2FwtHI%2FH0w%3D%3D&trackingId=D8tPi5vjsqiTmgOYYsHjVw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Scientist,DarkVision,"North Vancouver, British Columbia, Canada","Your Job + +DarkVision, part of Koch Engineered Solutions, is looking for an intermediate to senior level Machine Learning Scientist. DarkVision’s ultrasound imaging asset inspection system collects huge datasets in the order of hundreds of gigabytes that are several kilometers long where a defect may be on the order of a few millimetres. It is essential that we develop algorithms for automated processing, measuring, classification, and visualization of this data since manual processing is both time consuming and inconsistent. + + + + +As a Machine Learning Scientist, you will be involved in researching, designing, and implementing deep learning architectures that learn efficient generalizable representations for several vision-based tasks. You will report to our Vice President of Research & Innovation and be responsible for developing machine learning pipelines for continuous training, evaluation, and deployment of deep learning models. You will also help mentor other members of our ML team. + + + + +Our management process is light and generally milestone driven, using pseudo-Agile sprints derived from our quarterly and yearly goals. All goals are internally generated with plenty of room for feedback. + + + + +This is an on-site regular full-time position in our HQ in North Vancouver, BC. + + + + +Our Team + +With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures. + + + + +What You Will Do + +Research: Rapid model prototyping, training, and deployment of state-of-the-art deep learning models to solve large-scale industrial problems. You will be investigating image classification, object detection, instance segmentation, semantic segmentation, anomaly detection, and other bespoke tasks for processing industrial ultrasonic array data. +Pipeline: Work with our ML Ops team to build cloud-based pipelines for large-scale image pre-processing, data-augmentation, training, post-processing, and inference. +Deploy: Work with the Software Development Team to deploy model in production for its end-users. +Monitor: Continuously monitor success matrices of the assigned ML project and make continuous improvements for increasing model robustness and efficiency. +Data Analysis: Work closely with our Data Analysts to explore, analyze, and organize data; perform data extraction and preprocessing for training and evaluation purposes. +Document: Document model architecture, training details, dataset extraction, and cleaning procedures for reproducibility, product management, and internal training. + + + + +Opportunities to Learn + +Applying deep learning to real world industrial datasets containing billions of images. +Exploration of the state-of-the-art methodologies in computer vision like self-supervised learning and unsupervised learning for the purpose of non-destructive testing. +Exposure to full ML lifecycle and orchestration management tools like Prefect, Kubeflow, AWS SageMaker, Weights, and Biases. +Converting ideas into intellectual property assets (e.g. patents). + + + + +Who You Are (Basic Qualifications) + +Experience developing deep learning models for computer vision tasks. +Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or a ML/AI related field; PhD preferred. +Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, JAX, etc. + + + + +What Will Put You Ahead + +Experience with medical or industrial ultrasound images for deep learning-related projects. +Experience in deep learning projects for industrial non-destructive testing. +Experience leading and mentoring ML engineers and ML scientists. +Hands-on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GPC Vertex AI, etc. +Hands-on experience with orchestration tools like Kubeflow, Prefect, Airflow, etc. +Working knowledge of Git, Docker, and cloud services like AWS and GPC. +Publications in top tier venues likes CVPR, ICCV, etc. +Great communicator with excellent data presentation, and report writing skills. +Be able to work in a fast-paced, self-driven environment. + + + + +General Salary Range + +For this role, we anticipate paying $130,000 - $180,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form. + + + + +At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. + + + + +Who We Are + +DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world’s most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets. + + + + +Backed by Koch Industries, one of the world’s largest privately held companies, DarkVision’s team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company’s current and upcoming products. + + + + +We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging. + + + + +At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. + + + + +Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. + + + + +How To Apply + +If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted. + + + + +We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage. + + + + +Successful candidates will be required to complete a criminal background check. + + + + +Keywords: machine learning, ML, deep learning, DL, computer vision, imaging, image processing, ultrasound, ultrasonic, non-destructive testing, NDT, NDE, industrial, PyTorch, Tensorflow + +Show more ","
    + + + + + +
    +
    +

    Your Job

    DarkVision, part of Koch Engineered Solutions, is looking for an intermediate to senior level Machine Learning Scientist. DarkVision’s ultrasound imaging asset inspection system collects huge datasets in the order of hundreds of gigabytes that are several kilometers long where a defect may be on the order of a few millimetres. It is essential that we develop algorithms for automated processing, measuring, classification, and visualization of this data since manual processing is both time consuming and inconsistent.


    As a Machine Learning Scientist, you will be involved in researching, designing, and implementing deep learning architectures that learn efficient generalizable representations for several vision-based tasks. You will report to our Vice President of Research & Innovation and be responsible for developing machine learning pipelines for continuous training, evaluation, and deployment of deep learning models. You will also help mentor other members of our ML team.


    Our management process is light and generally milestone driven, using pseudo-Agile sprints derived from our quarterly and yearly goals. All goals are internally generated with plenty of room for feedback.


    This is an on-site regular full-time position in our HQ in North Vancouver, BC.


    Our Team

    With the largest ultrasound datasets globally, DarkVision's Research & Innovation team unites top-tier PhDs, engineers, and research scientists to pioneer automated image processing and deep learning architectures.


    What You Will Do

    • Research: Rapid model prototyping, training, and deployment of state-of-the-art deep learning models to solve large-scale industrial problems. You will be investigating image classification, object detection, instance segmentation, semantic segmentation, anomaly detection, and other bespoke tasks for processing industrial ultrasonic array data.
    • Pipeline: Work with our ML Ops team to build cloud-based pipelines for large-scale image pre-processing, data-augmentation, training, post-processing, and inference.
    • Deploy: Work with the Software Development Team to deploy model in production for its end-users.
    • Monitor: Continuously monitor success matrices of the assigned ML project and make continuous improvements for increasing model robustness and efficiency.
    • Data Analysis: Work closely with our Data Analysts to explore, analyze, and organize data; perform data extraction and preprocessing for training and evaluation purposes.
    • Document: Document model architecture, training details, dataset extraction, and cleaning procedures for reproducibility, product management, and internal training.


    Opportunities to Learn

    • Applying deep learning to real world industrial datasets containing billions of images.
    • Exploration of the state-of-the-art methodologies in computer vision like self-supervised learning and unsupervised learning for the purpose of non-destructive testing.
    • Exposure to full ML lifecycle and orchestration management tools like Prefect, Kubeflow, AWS SageMaker, Weights, and Biases.
    • Converting ideas into intellectual property assets (e.g. patents).


    Who You Are (Basic Qualifications)

    • Experience developing deep learning models for computer vision tasks.
    • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering or a ML/AI related field; PhD preferred.
    • Proficient in Python and at least one mainstream deep learning framework, such as PyTorch, TensorFlow, JAX, etc.


    What Will Put You Ahead

    • Experience with medical or industrial ultrasound images for deep learning-related projects.
    • Experience in deep learning projects for industrial non-destructive testing.
    • Experience leading and mentoring ML engineers and ML scientists.
    • Hands-on experience with ML lifecycle management tools like MLFlow, Amazon SageMaker, GPC Vertex AI, etc.
    • Hands-on experience with orchestration tools like Kubeflow, Prefect, Airflow, etc.
    • Working knowledge of Git, Docker, and cloud services like AWS and GPC.
    • Publications in top tier venues likes CVPR, ICCV, etc.
    • Great communicator with excellent data presentation, and report writing skills.
    • Be able to work in a fast-paced, self-driven environment.


    General Salary Range

    For this role, we anticipate paying $130,000 - $180,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.


    At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.


    Who We Are

    DarkVision Technologies Inc. is a Canada-based tech company disrupting the industrial imaging market since 2013. We have created the world’s most advanced acoustic-based imaging platform. We are packaging it into multiple new product lines, revolutionizing how our clients quantify and visualize the integrity of their critical assets.


    Backed by Koch Industries, one of the world’s largest privately held companies, DarkVision’s team of Mechanical, Skunkworks, Electrical, Software, and Machine Learning Engineers is rapidly expanding to meet the demand for the company’s current and upcoming products.


    We allow employees to work on cutting-edge technologies that blend science with real-world applications. We invite you to join our team for the exciting journey ahead as we become the global leader in industrial imaging.


    At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.


    Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.


    How To Apply

    If you have the above qualifications, we would like to hear from you. We thank all applicants in advance, but please be advised that only those selected for an interview will be contacted.


    We are an equal opportunity employer. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the kochcareers.com webpage.


    Successful candidates will be required to complete a criminal background check.


    Keywords: machine learning, ML, deep learning, DL, computer vision, imaging, image processing, ultrasound, ultrasonic, non-destructive testing, NDT, NDE, industrial, PyTorch, Tensorflow

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    + +
    ",2024-07-18,[] +3939159259,https://ca.linkedin.com/jobs/view/machine-learning-engineer-growth-at-grammarly-3939159259?position=5&pageNum=2&refId=psT5ybRovSVk3%2FwtHI%2FH0w%3D%3D&trackingId=wLVcGww3CeTSJ8lAx%2BAuzQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Machine Learning Engineer, Growth",Grammarly,"Vancouver, British Columbia, Canada","Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in the United States or Canada, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based. + +This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity. + +About Grammarly + +Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces. + +The Opportunity + +To achieve our ambitious goals, we’re looking for a Machine Learning Engineer to join our Marketing Technology team. This team is responsible for building systems that empower and enhance the company's marketing efforts and strategies. The person in this role will help shape marketing strategies, enhance customer experiences, and optimize marketing campaigns. They will be responsible for leveraging data and advanced algorithms to improve the performance and efficiency of advertising campaigns with the goal of maximizing the return on investment (ROI) for ad spend and delivering targeted ads to the right audience. + +Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog. + +As a Lead Machine Learning Engineer of the Growth org, you will transform the way ML is applied to solve Growth problems. Your work will directly impact the topline KPIs that Growth team contributes to the overall business. You will lead research, exploration and help establish a robust ML development process for the organization. This is a high-impact role with a direct line of the channel with the area leads and the senior leadership team. + +In This Role, You Will + + +Drive business impact by building scalable end-to-end machine learning solutions for challenging marketing problems. +Help Growth EPD and Marketing teams make data-driven decisions. +Your work will help drive multiple topline KPIs - LTV/CAC, number of activated and retained users, bookings revenue, etc. +Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design. +Work cross-functionally with various teams: Marketing, Marketing Analytics, Data Science, ML Infrastructure, and Product, to name a few. +Effectively communicate technical machine learning results in a business context where most people are not machine learning experts. + + +Qualifications + + +Has solid software engineering fundamentals, including knowledge of classical algorithms and data structures. +Has a solid understanding of the principles and best practices of developing software systems on a large scale. +Has the ability to apply machine learning algorithms to ad optimization tasks effectively. +Has strong knowledge of probability and statistics. +Has expertise in Python, its ecosystem, and Python-based ML tools and frameworks. +Has experience in Ad Optimization domain: knowledge of different types of ad channels, multi-channel budget allocation, key marketing performance metrics. +Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable. +Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust. +Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based. + + +Compensation And Benefits + +Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more: + + +Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) +Disability and life insurance options +401(k) and RRSP matching +Paid parental leave +20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days +Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) +Annual professional development budget and opportunities + + +Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. + +Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. + +United States + +Zone 1: $329,000 – $399,000/year (USD) + +Zone 2: $254,000 – $359,000/year (USD) + +Canada + +Zone 1: $279,000 – $361,000/year (CAD) + +For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. + +We encourage you to apply + +At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada). + +Please note that EEOC is optional and specific to US-based candidates. + +#NA + + +Show more ","
    + + + + + +
    +
    + Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in the United States or Canada, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.

    This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

    About Grammarly

    Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 7 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

    The Opportunity

    To achieve our ambitious goals, we’re looking for a Machine Learning Engineer to join our Marketing Technology team. This team is responsible for building systems that empower and enhance the company's marketing efforts and strategies. The person in this role will help shape marketing strategies, enhance customer experiences, and optimize marketing campaigns. They will be responsible for leveraging data and advanced algorithms to improve the performance and efficiency of advertising campaigns with the goal of maximizing the return on investment (ROI) for ad spend and delivering targeted ads to the right audience.

    Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

    As a Lead Machine Learning Engineer of the Growth org, you will transform the way ML is applied to solve Growth problems. Your work will directly impact the topline KPIs that Growth team contributes to the overall business. You will lead research, exploration and help establish a robust ML development process for the organization. This is a high-impact role with a direct line of the channel with the area leads and the senior leadership team.

    In This Role, You Will

    • Drive business impact by building scalable end-to-end machine learning solutions for challenging marketing problems.
    • Help Growth EPD and Marketing teams make data-driven decisions.
    • Your work will help drive multiple topline KPIs - LTV/CAC, number of activated and retained users, bookings revenue, etc.
    • Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design.
    • Work cross-functionally with various teams: Marketing, Marketing Analytics, Data Science, ML Infrastructure, and Product, to name a few.
    • Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.

    Qualifications

    • Has solid software engineering fundamentals, including knowledge of classical algorithms and data structures.
    • Has a solid understanding of the principles and best practices of developing software systems on a large scale.
    • Has the ability to apply machine learning algorithms to ad optimization tasks effectively.
    • Has strong knowledge of probability and statistics.
    • Has expertise in Python, its ecosystem, and Python-based ML tools and frameworks.
    • Has experience in Ad Optimization domain: knowledge of different types of ad channels, multi-channel budget allocation, key marketing performance metrics.
    • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
    • Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
    • Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

    Compensation And Benefits

    Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:

    • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
    • Disability and life insurance options
    • 401(k) and RRSP matching
    • Paid parental leave
    • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and unlimited sick days
    • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
    • Annual professional development budget and opportunities

    Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index.

    Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.

    United States

    Zone 1: $329,000 – $399,000/year (USD)

    Zone 2: $254,000 – $359,000/year (USD)

    Canada

    Zone 1: $279,000 – $361,000/year (CAD)

    For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.

    We encourage you to apply

    At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

    Please note that EEOC is optional and specific to US-based candidates.

    #NA

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3984814767,https://ca.linkedin.com/jobs/view/software-developer-python-at-visier-inc-3984814767?position=6&pageNum=2&refId=psT5ybRovSVk3%2FwtHI%2FH0w%3D%3D&trackingId=gMWylJC5tbwgeoHrHeuxZw%3D%3D&trk=public_jobs_jserp-result_search-card,Software Developer (Python),Visier Inc.,"Vancouver, British Columbia, Canada","Visier is the leader in people analytics and we believe in a 'people-first' approach to business strategy. Our innovative technology transforms the way that organisations make decisions, allowing them to elevate their employees and drive better business outcomes. Embarking on an exciting new chapter in our growth story, we are looking for talented individuals who can help both Visier and our customers grow, evolve and win! + +Our engineering team is building innovative AI solutions for people analytics, providing HR and business leaders with intuitive insights on-demand. We recently released Vee, a generative AI digital assistant for people analytics, and are exploring LLM, NLP, and other AI technologies in order to build further, novel solutions that enhance our category-leading analytics software. + +What You’ll Be Doing…. + + +Developing the core technology for innovative, high-performing, cloud-based applications in generative AI and machine learning +Engineering prompt retrieval and augmentation +Creating effective tests for prompts +Developing and maintaining data connectors to various data sources +Mentoring our junior software developers +Establishing good development practices in the team +Gathering requirements and designing new software features +Contributing innovative ideas to enhance features, product, technology, and processes + + +What You’ll Bring To The Table…. + + +Experienced in designing and developing B2B SaaS applications +Proficiency in Python +Strong knowledge of data structures and algorithms +Exceptional problem-solving and critical-thinking skills +Ability to excel in a fast-paced, proactive work environment +Commitment to disciplined and top-quality software development +Strong communication skills +Academic qualifications in Computer Science + + +Additional assets would include + + +experience with prompt engineering and LLMs, +LLM application frameworks such as LangChain, +prompt testing, +client-server programming, as well as familiarity with modern web technologies. + + +The base pay range for this position in Canada is $90k - $136k / year + bonus. + +The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role. + +See the #VisierLife in action + +Instagram - @visierlife + +Linkedin - https://www.linkedin.com/company/visier-analytics/ + +Hear What It's Like To Work Visier Here + +Visier Candidate Privacy Notice and Recruiter Policy +Show more ","
    + + + + + +
    +
    + Visier is the leader in people analytics and we believe in a 'people-first' approach to business strategy. Our innovative technology transforms the way that organisations make decisions, allowing them to elevate their employees and drive better business outcomes. Embarking on an exciting new chapter in our growth story, we are looking for talented individuals who can help both Visier and our customers grow, evolve and win!

    Our engineering team is building innovative AI solutions for people analytics, providing HR and business leaders with intuitive insights on-demand. We recently released Vee, a generative AI digital assistant for people analytics, and are exploring LLM, NLP, and other AI technologies in order to build further, novel solutions that enhance our category-leading analytics software.

    What You’ll Be Doing….

    • Developing the core technology for innovative, high-performing, cloud-based applications in generative AI and machine learning
    • Engineering prompt retrieval and augmentation
    • Creating effective tests for prompts
    • Developing and maintaining data connectors to various data sources
    • Mentoring our junior software developers
    • Establishing good development practices in the team
    • Gathering requirements and designing new software features
    • Contributing innovative ideas to enhance features, product, technology, and processes

    What You’ll Bring To The Table….

    • Experienced in designing and developing B2B SaaS applications
    • Proficiency in Python
    • Strong knowledge of data structures and algorithms
    • Exceptional problem-solving and critical-thinking skills
    • Ability to excel in a fast-paced, proactive work environment
    • Commitment to disciplined and top-quality software development
    • Strong communication skills
    • Academic qualifications in Computer Science

    Additional assets would include

    • experience with prompt engineering and LLMs,
    • LLM application frameworks such as LangChain,
    • prompt testing,
    • client-server programming, as well as familiarity with modern web technologies.

    The base pay range for this position in Canada is $90k - $136k / year + bonus.

    The compensation offered will be determined by factors such as relevant qualifications, experience, knowledge and skills. Many of our positions are eligible for additional types of compensation (e.g., commission plans, bonus, etc.) which our Talent Acquisition team will share with you if you interview for the role.

    See the #VisierLife in action

    Instagram - @visierlife

    Linkedin - https://www.linkedin.com/company/visier-analytics/

    Hear What It's Like To Work Visier Here

    Visier Candidate Privacy Notice and Recruiter Policy +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-29,[] +3967197000,https://ca.linkedin.com/jobs/view/full-stack-developer-id%234574-at-new-value-solutions-3967197000?position=7&pageNum=2&refId=psT5ybRovSVk3%2FwtHI%2FH0w%3D%3D&trackingId=9wsBSHYMEOWcRp6gUOlpQA%3D%3D&trk=public_jobs_jserp-result_search-card,Full Stack Developer (ID#4574),New Value Solutions,"Richmond, British Columbia, Canada","New Value Solutions, a national IT consulting company, is seeking a Full Stack Developer to help our client develop one or more parts of their application systems (systems of engagement and/or systems of record) and integrate it with other systems. This will include designing it to fit into the architecture, prototyping the user interface, implementing, unit-testing, and integrating the components that are part of the solution. + + + + +Requirements: + + + + +6+ years of work experience in IT. +4 years of experience with agile methodologies and cloud, DevOps environment, involving continuous process improvement, IT development, unit testing, production support and problem resolution, analysis, and/or technical proficiency. +Significant experience with Microsoft Stack with technologies and frameworks like .Net, C#, ASP.net Core, JavaScript, SQL, XUnit, NUnit, Entity Framework, TDD, and Azure. +Exposure to microservices is preferred. +Experience with frontend development such as ASP.net Core, Razor components, Angular 16 and up, HTML, CSS, and JQuery are desirable assets. +Exposure to ASP.net Core Blazor, .net MAUI is an asset. +PowerBuilder experience is an asset. +1+ years of experience acting in an unofficial technical leadership position helping to support, coach, and mentor intermediate and junior developers. +Significant experience participating in all activities that support consistent, and high-quality team delivery, especially in small team and complex enterprise scale environments and accustomed to collaborating with interdependent teams and removing impediments. +Very quality minded and can test code (manually and automated) all the way through to production, as well as document tests for audit and reusability. +Interested to learn about the business and build an understanding of the business processes and requirements which inform the system design. +Scaled Agile Framework (SAFe) training and certification like SAFe Practitioner, or willingness to take the course and obtain certification within 2 months from commencement of work. + + + + +If you have this expertise, and are able to work in Canada, please submit your resume. While we thank all candidates in advance for their application, only those candidates who are shortlisted will be contacted. + + + + +ID#4574 + + + + +The hourly rate range for this position is $65 - $95, with the final rate based on consultant experience and fit for the role. + +Show more ","
    + + + + + +
    +
    +

    New Value Solutions, a national IT consulting company, is seeking a Full Stack Developer to help our client develop one or more parts of their application systems (systems of engagement and/or systems of record) and integrate it with other systems. This will include designing it to fit into the architecture, prototyping the user interface, implementing, unit-testing, and integrating the components that are part of the solution.


    Requirements:


    • 6+ years of work experience in IT.
    • 4 years of experience with agile methodologies and cloud, DevOps environment, involving continuous process improvement, IT development, unit testing, production support and problem resolution, analysis, and/or technical proficiency.
    • Significant experience with Microsoft Stack with technologies and frameworks like .Net, C#, ASP.net Core, JavaScript, SQL, XUnit, NUnit, Entity Framework, TDD, and Azure.
    • Exposure to microservices is preferred.
    • Experience with frontend development such as ASP.net Core, Razor components, Angular 16 and up, HTML, CSS, and JQuery are desirable assets.
    • Exposure to ASP.net Core Blazor, .net MAUI is an asset.
    • PowerBuilder experience is an asset.
    • 1+ years of experience acting in an unofficial technical leadership position helping to support, coach, and mentor intermediate and junior developers.
    • Significant experience participating in all activities that support consistent, and high-quality team delivery, especially in small team and complex enterprise scale environments and accustomed to collaborating with interdependent teams and removing impediments.
    • Very quality minded and can test code (manually and automated) all the way through to production, as well as document tests for audit and reusability.
    • Interested to learn about the business and build an understanding of the business processes and requirements which inform the system design.
    • Scaled Agile Framework (SAFe) training and certification like SAFe Practitioner, or willingness to take the course and obtain certification within 2 months from commencement of work.


    If you have this expertise, and are able to work in Canada, please submit your resume. While we thank all candidates in advance for their application, only those candidates who are shortlisted will be contacted.


    ID#4574


    The hourly rate range for this position is $65 - $95, with the final rate based on consultant experience and fit for the role.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-08,[] +3986061124,https://ca.linkedin.com/jobs/view/global-oil-gas-senior-data-scientist-at-matchatalent-3986061124?position=8&pageNum=2&refId=psT5ybRovSVk3%2FwtHI%2FH0w%3D%3D&trackingId=BaIUHDXJxFNtaG%2FtRCVwEQ%3D%3D&trk=public_jobs_jserp-result_search-card,(Global Oil Gas) Senior Data Scientist,MatchaTalent,"Vancouver, British Columbia, Canada","This role required candidate to permanently relocate at Dhahran, Saudi Arabia. + +About the Company + + + +This company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments: Upstream, Downstream, and Corporate. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers. The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, 1933 and is headquartered in Dhahran, Saudi Arabia. + +Job Summary + +We are seeking a Data Scientist to join the Sales & Operations Planning Division's (S&OP) under the Global Optimizer Department. S&OP's primary responsibility is to optimize crude allocation and operations across global manufacturing facilities. This optimization aims to maximize revenue, increase profitability, and capitalize on international market opportunities. + +The division serves as the gatekeeper for linear programming (LP) at wholly owned refineries and oversees the integrated global MPIMS model. This model is crucial for optimizing global crude allocation, exploring new international markets, and integrating operational options. + +As a Data Scientist, your main role will involve analyzing and structuring large volumes of real-time and historical data. You will build algorithms and solutions around this data to facilitate decision-making within the company. Your work will be pivotal in supporting the company's forecasting and predictive digital strategy, contributing to the development of advanced solutions at the Downstream Digital Center. + +Key Responsibilities: + +Formulate and lead multifaceted analytic studies against large volumes of data. +Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method. +Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. +Experiment against data points, provide information based on experiment results, and offer previously undiscovered solutions to complex data challenges. +Lead all data experiments tasked by the Data Science Team. +Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. +Develop methodology and processes for prioritization and scheduling of projects. +Analyze problems and determine root causes. +Define company data assets (data models), Spark, SparkSQL, and HiveSQL jobs to populate data models. +Work closely with all business units and engineering teams to develop strategy for long-term data platform architecture. + + + +Requirements: + +Willingness to relocate to Dhahran, Saudi Arabia. +Hold a Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred. +Have 5-7 years of professional experience in a related field. +Proficiency with one or more programming languages (Java, C++, Python, R, etc.). +Demonstrate experience applying data science methods to real-world data problems. +Experience in utilizing visualization tools to leverage the growing volume of available information. +Show more ","
    + + + + + +
    +
    +

    This role required candidate to permanently relocate at Dhahran, Saudi Arabia.

    About the Company



    This company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments: Upstream, Downstream, and Corporate. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers. The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, 1933 and is headquartered in Dhahran, Saudi Arabia.

    Job Summary

    We are seeking a Data Scientist to join the Sales & Operations Planning Division's (S&OP) under the Global Optimizer Department. S&OP's primary responsibility is to optimize crude allocation and operations across global manufacturing facilities. This optimization aims to maximize revenue, increase profitability, and capitalize on international market opportunities.

    The division serves as the gatekeeper for linear programming (LP) at wholly owned refineries and oversees the integrated global MPIMS model. This model is crucial for optimizing global crude allocation, exploring new international markets, and integrating operational options.

    As a Data Scientist, your main role will involve analyzing and structuring large volumes of real-time and historical data. You will build algorithms and solutions around this data to facilitate decision-making within the company. Your work will be pivotal in supporting the company's forecasting and predictive digital strategy, contributing to the development of advanced solutions at the Downstream Digital Center.

    Key Responsibilities:

    • Formulate and lead multifaceted analytic studies against large volumes of data.
    • Interpret and analyze data using exploratory mathematical and statistical techniques based on the scientific method.
    • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
    • Experiment against data points, provide information based on experiment results, and offer previously undiscovered solutions to complex data challenges.
    • Lead all data experiments tasked by the Data Science Team.
    • Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
    • Develop methodology and processes for prioritization and scheduling of projects.
    • Analyze problems and determine root causes.
    • Define company data assets (data models), Spark, SparkSQL, and HiveSQL jobs to populate data models.
    • Work closely with all business units and engineering teams to develop strategy for long-term data platform architecture.

    Requirements:

    • Willingness to relocate to Dhahran, Saudi Arabia.
    • Hold a Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. An advanced degree is preferred.
    • Have 5-7 years of professional experience in a related field.
    • Proficiency with one or more programming languages (Java, C++, Python, R, etc.).
    • Demonstrate experience applying data science methods to real-world data problems.
    • Experience in utilizing visualization tools to leverage the growing volume of available information.
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[] +3984108879,https://ca.linkedin.com/jobs/view/software-engineer-for-ai-training-data-python-at-g2i-inc-3984108879?position=9&pageNum=2&refId=psT5ybRovSVk3%2FwtHI%2FH0w%3D%3D&trackingId=kciRVgoWBAWKAc8Xe6XO2Q%3D%3D&trk=public_jobs_jserp-result_search-card,Software Engineer for AI Training Data (Python),G2i Inc.,"Vancouver, British Columbia, Canada","Tech Stack + +It does not matter which programming language is your primary and we accept engineers with Python (however, you must be willing to work using Swift). Previous Swift experience is not required. + +Accepted Locations + +We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations, click here. This work is 100% remote. + +Loom Video + +Our Founder/CEO, Gabe Greenberg, created a more in depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40 + +Job Overview + +We are currently seeking Developers for project-specific roles focused on RLHF. This role will play a key part in our reinforcement learning from human feedback (RLHF) initiatives, contributing to cutting-edge projects. + +You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 4+ years of experience to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! + +What Will I Be Doing? + + +Evaluating the quality of AI-generated code, including human-readable summaries of your rationale +Solve coding problems, writing functional and efficient code +Writing robust test cases to confirm code works efficiently and effectively +We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from ""which piece of Python code is better?"" to ""make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster"" + + +Contract Length + + +This project is expected to last until the end of September and you'll be able to continue to work on other projects (though likely not in Swift). +You can end the contract at any time. + + +Flexible Schedules + + +Developers can set their own hours - ideal candidates will be interested in spending 15+ hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but incredibly flexible on working hours. +Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours. + + +Compensation + + +US: $50 /hr +Brazil: $28.70/hr +Egypt: $22.05/hr +Phillipines: $25.55/hr +All other countries: $35/hr +Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid per hour of work done on the platform. + + +Interview Process + +We've created a 3.5 hour screening and onboarding process to join as a Software Engineer for AI Training Data which can be accomplished in 1 week or less. We purposely perform most of these steps asynchronously because most of the RLHF work is async and self guided. After you apply, if you look like a good fit we'll provide you access to the G2i dashboard to go through this simple screening process. + +Step 1: Learn in depth about the role (35 min) + +Step 2: Perform a simple RLHF code review (35 min) + +Step 3: Receive platform credentials, pass ID verification (5 min), and choose your project (30 min). + +Step 4: Perform a production level RLHF task (75 min) ""aka the final interview"" + +Join us: Based on your final interview, you'll will put you on the right difficulty RLHF project + + +Show more ","
    + + + + + +
    +
    + Tech Stack

    It does not matter which programming language is your primary and we accept engineers with Python (however, you must be willing to work using Swift). Previous Swift experience is not required.

    Accepted Locations

    We are accepting applicants from the US, Canada, and most countries in LATAM and Europe. We are accepting some countries in Africa and Asia. For the full list of accepted locations, click here. This work is 100% remote.

    Loom Video

    Our Founder/CEO, Gabe Greenberg, created a more in depth Loom video that we highly recommend you watch! Check it out here: https://www.loom.com/share/5a8972c7fbbf46aaa3f389b2b6391c40

    Job Overview

    We are currently seeking Developers for project-specific roles focused on RLHF. This role will play a key part in our reinforcement learning from human feedback (RLHF) initiatives, contributing to cutting-edge projects.

    You’ll join an expert annotation team to create training data for for the worlds most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the biggest players in the AI/LLM space today. We are seeking software engineers with 4+ years of experience to train AI large language models, helping cutting-edge generative AI models write better code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open!

    What Will I Be Doing?

    • Evaluating the quality of AI-generated code, including human-readable summaries of your rationale
    • Solve coding problems, writing functional and efficient code
    • Writing robust test cases to confirm code works efficiently and effectively
    • We asked the technical project manager to go into even more detail and this is how he answered: It is solving coding challenges, creating instructions to help others, reviewing the code before it goes into the model, and there's a ton of variety in the projects. We have everything from ""which piece of Python code is better?"" to ""make a full mobile application using this chatbot, and improve the chatbot's responses afterwards to make it faster""

    Contract Length

    • This project is expected to last until the end of September and you'll be able to continue to work on other projects (though likely not in Swift).
    • You can end the contract at any time.

    Flexible Schedules

    • Developers can set their own hours - ideal candidates will be interested in spending 15+ hours a week. They will be with teams, so strong performers will adapt to the urgency of projects and stay engaged, but incredibly flexible on working hours.
    • Take a 3 hour lunch, no problem. You are paid according to time spent on the platform, which is calculated in the coding exercises, as opposed to tracking your own hours.

    Compensation

    • US: $50 /hr
    • Brazil: $28.70/hr
    • Egypt: $22.05/hr
    • Phillipines: $25.55/hr
    • All other countries: $35/hr
    • Expectations are 15+ hours per week however there is no upper limit. We have engineers working 20-40 hrs per week and some that are working 40+ hours per week. You can work as much as you want to. You'll get paid on a weekly basis. You get paid per hour of work done on the platform.

    Interview Process

    We've created a 3.5 hour screening and onboarding process to join as a Software Engineer for AI Training Data which can be accomplished in 1 week or less. We purposely perform most of these steps asynchronously because most of the RLHF work is async and self guided. After you apply, if you look like a good fit we'll provide you access to the G2i dashboard to go through this simple screening process.

    Step 1: Learn in depth about the role (35 min)

    Step 2: Perform a simple RLHF code review (35 min)

    Step 3: Receive platform credentials, pass ID verification (5 min), and choose your project (30 min).

    Step 4: Perform a production level RLHF task (75 min) ""aka the final interview""

    Join us: Based on your final interview, you'll will put you on the right difficulty RLHF project

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-24,[] +3948470037,https://ca.linkedin.com/jobs/view/software-developer-at-corpay-3948470037?position=10&pageNum=2&refId=psT5ybRovSVk3%2FwtHI%2FH0w%3D%3D&trackingId=rgGkBd8%2BacUAWVqU3q%2BFmQ%3D%3D&trk=public_jobs_jserp-result_search-card,Software Developer,Corpay,"Vancouver, British Columbia, Canada","Your role + +As an experienced Software Developer, you’ll develop major components that power our consumer apps and global platform enabling over 17 million users to conveniently pay for parking. + +What You'll Be Doing + +Software Developer + +What We Need + +Corpay is currently hiring a remote Software Develop for the PaybyPhone line of business. In this role, you will develop major components that power our consumer apps and global platform enabling over 17 million users to conveniently pay for parking. Additionally, Corpay is looking for an active problem solver who enjoys seeking out the best and cost-effective solution. Write and test-drive code for new features and bugfixes. Investigate application issues within defined timelines and early demonstrate and explain the solution to others. Work with the team to design and develop automated test suites, refine acceptance criteria, and establish test plans. Participate in code reviews to share knowledge and improve code quality. Learn from your teammates and help them learn through pairing and mob programming sessions. Build and deploy software through an automated CI/CD pipeline, helping refine the process. Maintain cloud infrastructure for your team’s products and monitor the health and success of your team’s products through application, system, and business metrics. Advise users on appropriate action/workaround where applicable. Document, track, monitor problems and escalate issues to ensure a timely resolution. Contribute to technical documentation. Own the success of the systems you and your team develop. This includes monitoring, investigating issues, and supporting the service during outages including rotational on-call. Carry out regular checks on key metrics in Production environments. You must maintain a personal data plan to fulfill your responsibilities for on-call support. + +How We Work + +The Software Developer will be expected to work in a virtual environment, with occasional in office work days in Vancouver. Corpay will set you up for success by providing: + + +Assigned workspace in home office setup +Company-issued equipment +Virtual training +Monthly home Internet stipend + + +Role Responsibilities + +The responsibilities of the role will include: + + +Experience working in agile environment using processes like Kanban or Scrum +Intermediate level ability to code in object-oriented programming language preferably C#, python +Experience with automated unit testing, and an interest in techniques such as TDD and BDD +Excellent understanding of software engineering principles +Experience with cloud platforms like AWS/Azure preferably AWS +Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB +Experience improving legacy systems, or migrating them to a microservice architecture +Experience with Docker, Terraform +Experience with refactoring +Experience with service-oriented or microservices architecture using synchronous (REST) and asynchronous (event-driven) integration +Experience with React +Familiarity with Domain Driven Design concepts +Experience with production monitoring and observability +You’re excited about building robust and extensible 24/7 back-end services for a global market + + +Qualifications & Skills + + +3+ years’ experience designing and developing clean, maintainable software that stands up to real-world users and production conditions +Bachelor’s degree in Computer Science or Software Engineering (nice to have) +Writing clean, maintainable code with good test coverage +Effectively communicating technical decisions +Collaborating with and learning from your teammates +Making regular contributions to the team's processes, roadmap, and architecture +Helping improve the operational reliability of the team's systems +Demonstrated experience / projects +You’ve worked in or want to work in an agile environment using processes like Kanban or Scrum +Intermediate level ability to code in object-oriented programming language preferably C#, python +Experience with automated unit testing, and an interest in techniques such as TDD and BDD +Excellent understanding of software engineering principles +Experience with cloud platforms like AWS/Azure preferably AWS +Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB +Experience improving legacy systems, or migrating them to a microservice architecture +Experience with Docker, Terraform +Experience with refactoring +Demonstrated experience / projects +You’ve worked in or want to work in an agile environment using processes like Kanban or Scrum +Intermediate level ability to code in object-oriented programming language preferably C#, python +Experience with automated unit testing, and an interest in techniques such as TDD and BDD +Excellent understanding of software engineering principles +Experience with cloud platforms like AWS/Azure preferably AWS +Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB +Experience improving legacy systems, or migrating them to a microservice architecture +Experience with Docker, Terraform +Experience with refactoring + + +Salary Band $84,000 - $105,000 + +#Remote #INDTECH + +About Corpay + +Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. + +All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpay's Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. + +Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. + +Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CV's from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. + + +Show more ","
    + + + + + +
    +
    + Your role

    As an experienced Software Developer, you’ll develop major components that power our consumer apps and global platform enabling over 17 million users to conveniently pay for parking.

    What You'll Be Doing

    Software Developer

    What We Need

    Corpay is currently hiring a remote Software Develop for the PaybyPhone line of business. In this role, you will develop major components that power our consumer apps and global platform enabling over 17 million users to conveniently pay for parking. Additionally, Corpay is looking for an active problem solver who enjoys seeking out the best and cost-effective solution. Write and test-drive code for new features and bugfixes. Investigate application issues within defined timelines and early demonstrate and explain the solution to others. Work with the team to design and develop automated test suites, refine acceptance criteria, and establish test plans. Participate in code reviews to share knowledge and improve code quality. Learn from your teammates and help them learn through pairing and mob programming sessions. Build and deploy software through an automated CI/CD pipeline, helping refine the process. Maintain cloud infrastructure for your team’s products and monitor the health and success of your team’s products through application, system, and business metrics. Advise users on appropriate action/workaround where applicable. Document, track, monitor problems and escalate issues to ensure a timely resolution. Contribute to technical documentation. Own the success of the systems you and your team develop. This includes monitoring, investigating issues, and supporting the service during outages including rotational on-call. Carry out regular checks on key metrics in Production environments. You must maintain a personal data plan to fulfill your responsibilities for on-call support.

    How We Work

    The Software Developer will be expected to work in a virtual environment, with occasional in office work days in Vancouver. Corpay will set you up for success by providing:

    • Assigned workspace in home office setup
    • Company-issued equipment
    • Virtual training
    • Monthly home Internet stipend

    Role Responsibilities

    The responsibilities of the role will include:

    • Experience working in agile environment using processes like Kanban or Scrum
    • Intermediate level ability to code in object-oriented programming language preferably C#, python
    • Experience with automated unit testing, and an interest in techniques such as TDD and BDD
    • Excellent understanding of software engineering principles
    • Experience with cloud platforms like AWS/Azure preferably AWS
    • Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB
    • Experience improving legacy systems, or migrating them to a microservice architecture
    • Experience with Docker, Terraform
    • Experience with refactoring
    • Experience with service-oriented or microservices architecture using synchronous (REST) and asynchronous (event-driven) integration
    • Experience with React
    • Familiarity with Domain Driven Design concepts
    • Experience with production monitoring and observability
    • You’re excited about building robust and extensible 24/7 back-end services for a global market

    Qualifications & Skills

    • 3+ years’ experience designing and developing clean, maintainable software that stands up to real-world users and production conditions
    • Bachelor’s degree in Computer Science or Software Engineering (nice to have)
    • Writing clean, maintainable code with good test coverage
    • Effectively communicating technical decisions
    • Collaborating with and learning from your teammates
    • Making regular contributions to the team's processes, roadmap, and architecture
    • Helping improve the operational reliability of the team's systems
    • Demonstrated experience / projects
    • You’ve worked in or want to work in an agile environment using processes like Kanban or Scrum
    • Intermediate level ability to code in object-oriented programming language preferably C#, python
    • Experience with automated unit testing, and an interest in techniques such as TDD and BDD
    • Excellent understanding of software engineering principles
    • Experience with cloud platforms like AWS/Azure preferably AWS
    • Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB
    • Experience improving legacy systems, or migrating them to a microservice architecture
    • Experience with Docker, Terraform
    • Experience with refactoring
    • Demonstrated experience / projects
    • You’ve worked in or want to work in an agile environment using processes like Kanban or Scrum
    • Intermediate level ability to code in object-oriented programming language preferably C#, python
    • Experience with automated unit testing, and an interest in techniques such as TDD and BDD
    • Excellent understanding of software engineering principles
    • Experience with cloud platforms like AWS/Azure preferably AWS
    • Experience with relational and non-relational databases such as Oracle, MySQL, MongoDB, or DynamoDB
    • Experience improving legacy systems, or migrating them to a microservice architecture
    • Experience with Docker, Terraform
    • Experience with refactoring

    Salary Band $84,000 - $105,000

    #Remote #INDTECH

    About Corpay

    Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.

    All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpay's Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements.

    Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities.

    Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CV's from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-07-28,[]