From ae67da19fce0c22524911828c521f28197078eb2 Mon Sep 17 00:00:00 2001 From: github-actions Date: Sat, 10 Aug 2024 12:38:14 +0000 Subject: [PATCH] update --- data/data_analyst_20240810.csv | 4200 +++++++++++ data/data_scientist_20240810.csv | 10929 +++++++++++++++++++++++++++++ 2 files changed, 15129 insertions(+) create mode 100644 data/data_analyst_20240810.csv create mode 100644 data/data_scientist_20240810.csv diff --git a/data/data_analyst_20240810.csv b/data/data_analyst_20240810.csv new file mode 100644 index 0000000..ee6d6c5 --- /dev/null +++ b/data/data_analyst_20240810.csv @@ -0,0 +1,4200 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +3989064618,https://bg.linkedin.com/jobs/view/junior-data-analyst-at-experian-3989064618?position=2&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=4o9ocL4I%2FTWakQ2QcN3AQA%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Analyst,Experian,"Sofia, Sofia City, Bulgaria","Company Description + +Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. + +We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. + +We invest in people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. + +Job Description + +We are recruiting for a fundamental role within our Marketing Analytics team. The Junior Data Analyst position is an important role within the department, reporting into the Targeting Analytics Manager. + +What you'll be doing? + +You will deliver analytical projects; this will involve analysing data sets, getting to the bottom of what is going on with the data and communicating your findings to different stakeholders within Experian. + +Working with your team, you will blend a knowledge of mathematical, analytical or spatial techniques with a natural curiosity for understanding and analysing data. + +Qualifications + +What you'll bring? + +Skills + +We're after a team player who has a desire to deliver analysis projects to budgeted time, with accuracy, using core analytical techniques and applications. You will have a drive and determination to develop your skills. Therefore, you'll bring: + + +Мathematical competency; +Geospatial/GIS expertise; +Data analysis and interpretation. + + +The following additional skills would be advantageous but not essential: + + +Regression Modelling; +Segmentation; +Machine Learning; +Location analysis. + + +It Would Be Great If You Have Previous Experience Of Data Analysis And Interpretation And An Understanding Of Any Programming Languages And Applications Such As + + +R; +Python; +SAS; +Alteryx; +VBA; +SQL; +Tableau, MicroStrategy or PowerBI; +ArcGIS, MapIinfo or other GIS software. + + +Additional Information + +Why Us? + +No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we're committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works. + +We like to strike a balance between how much time we spend on work and how much we keep for ourselves. After all, we've all got commitments and interests outside the office. So, talk to us about how you'd best like to work with us. We're flexible and interested in helping you to get the best out of working with us. + +What You Will Get + + +Work environment - excellent work conditions with friendly environment, recognized strong team spirit, and fun and quality recreation time. +Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more! +Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events. +Opportunity for flexible working hours and home office. +Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials & books. + + +Our Social Benefits Package - the way we care for our People + +Experian Careers - Creating a better tomorrow together + +Find out what its like to work for Experian by clicking here +Show more ","
+ + + + + +
+
+ Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.

Job Description

We are recruiting for a fundamental role within our Marketing Analytics team. The Junior Data Analyst position is an important role within the department, reporting into the Targeting Analytics Manager.

What you'll be doing?

You will deliver analytical projects; this will involve analysing data sets, getting to the bottom of what is going on with the data and communicating your findings to different stakeholders within Experian.

Working with your team, you will blend a knowledge of mathematical, analytical or spatial techniques with a natural curiosity for understanding and analysing data.

Qualifications

What you'll bring?

Skills

We're after a team player who has a desire to deliver analysis projects to budgeted time, with accuracy, using core analytical techniques and applications. You will have a drive and determination to develop your skills. Therefore, you'll bring:

  • Мathematical competency;
  • Geospatial/GIS expertise;
  • Data analysis and interpretation.

The following additional skills would be advantageous but not essential:

  • Regression Modelling;
  • Segmentation;
  • Machine Learning;
  • Location analysis.

It Would Be Great If You Have Previous Experience Of Data Analysis And Interpretation And An Understanding Of Any Programming Languages And Applications Such As

  • R;
  • Python;
  • SAS;
  • Alteryx;
  • VBA;
  • SQL;
  • Tableau, MicroStrategy or PowerBI;
  • ArcGIS, MapIinfo or other GIS software.

Additional Information

Why Us?

No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we're committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works.

We like to strike a balance between how much time we spend on work and how much we keep for ourselves. After all, we've all got commitments and interests outside the office. So, talk to us about how you'd best like to work with us. We're flexible and interested in helping you to get the best out of working with us.

What You Will Get

  • Work environment - excellent work conditions with friendly environment, recognized strong team spirit, and fun and quality recreation time.
  • Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
  • Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
  • Opportunity for flexible working hours and home office.
  • Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials & books.

Our Social Benefits Package - the way we care for our People

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3997301402,https://de.linkedin.com/jobs/view/data-analyst-at-payabl-3997301402?position=6&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=QoyiwfbN%2FjUvPol2QfsG1g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,payabl.,"Frankfurt, Hesse, Germany","payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to business and make them all available in one place on our platform we call payabl.one. + +As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts. With offices located in Frankfurt, Amsterdam, Limassol, and London, we are currently undergoing significant expansion and are looking for a Data Analyst to join our team. This role can be in one of our offices in Frankfurt, Limassol, Amsterdam, or London, it can also be remote anywhere in Europe. + +This role is about: + +The Data Analyst role is responsible for collecting, processing data of business information systems to discover useful information, suggest conclusions, and support decision-making. Furthermore you will identify challenges and opportunities within the organization and provide solutions that help achieve the business' goals. Strong technology, analytical and communication skills are must-have traits. You will be a driving force in data systems development, backing up suggestions with evidence. + +You will: + + +Analyse data, outlining challenges, opportunities and solutions based on the internal and external data +Filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance +Use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends +Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance +Prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes +Work with other departments to understand their data needs and help them make informed decisions based on data insights + + + +What we need: + + +Excellent communication and interpersonal skills +Excellent at presenting data analysis insights to any type of audience in a clear and actionable way +Have a sense of ownership and assume end-to-end responsibility in everything you do +Experience working with senior decision makers +Conduct data analysis with Python (Pandas, Matplotlib, SciPy), SQL, Excel +Experience with data visualization tools (Power BI, Tableau or Qlik) and databases (PostgreSQL, BigQuery, Apache Druid) +Ability to automate data reports, ensuring efficiency and accuracy in data delivery +Familiarity with tools and software that enable scheduling and automatic generation of reports (e.g., cron jobs, Apache Airflow, Microsoft Power Automate) +Experience with Event Tracking, conceptualizing product events, and product analytics tools (Amplitude, Google Analytics, Matomo, etc.) + + + +The perks of being a payabler: + + +🚗 Drive in Style: After your probation, a sleek company car is all yours. +Future-Proof Your Finances: Jump on board, and after your probation period, we'll kickstart your Provident Fund +🌱 Grow Without Limits: Our environment is all about nurturing your talents and fueling your ambition with endless opportunities for professional development. +Speak Like a Local: Greek language classes, offered twice a week for all team members. +💳 Shop and Save: Get exclusive access to a discount card at various local businesses. +🌍Thrive in a multicultural workplace that celebrates diversity and values your unique contributions. Here, every perspective is appreciated, and every voice is heard. +Lead the Charge in Pioneering Projects: Be at the forefront of innovation by playing a key role in groundbreaking projects. +🏝 Max Out Your Downtime: With 25 days off plus public holidays, and an extra 10 days for when you're under the weather, we make sure you have ample time to relax, recharge, and return brighter. +📚 Support for Your Educational Aspirations: We're here to support your educational pursuits because we believe in investing in your growth. +🍔 Wolt Your Way Through Lunch: Enjoy a Wolt lunch allowance of €150 per month + + +Ready to Join Us? + +Let's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team! + +If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our privacy policy at https://www.payabl.com/privacy-policy +Show more ","
+ + + + + +
+
+ payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to business and make them all available in one place on our platform we call payabl.one.

As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts. With offices located in Frankfurt, Amsterdam, Limassol, and London, we are currently undergoing significant expansion and are looking for a Data Analyst to join our team. This role can be in one of our offices in Frankfurt, Limassol, Amsterdam, or London, it can also be remote anywhere in Europe.

This role is about:

The Data Analyst role is responsible for collecting, processing data of business information systems to discover useful information, suggest conclusions, and support decision-making. Furthermore you will identify challenges and opportunities within the organization and provide solutions that help achieve the business' goals. Strong technology, analytical and communication skills are must-have traits. You will be a driving force in data systems development, backing up suggestions with evidence.

You will:

  • Analyse data, outlining challenges, opportunities and solutions based on the internal and external data
  • Filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance
  • Use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends
  • Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance
  • Prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes
  • Work with other departments to understand their data needs and help them make informed decisions based on data insights


What we need:

  • Excellent communication and interpersonal skills
  • Excellent at presenting data analysis insights to any type of audience in a clear and actionable way
  • Have a sense of ownership and assume end-to-end responsibility in everything you do
  • Experience working with senior decision makers
  • Conduct data analysis with Python (Pandas, Matplotlib, SciPy), SQL, Excel
  • Experience with data visualization tools (Power BI, Tableau or Qlik) and databases (PostgreSQL, BigQuery, Apache Druid)
  • Ability to automate data reports, ensuring efficiency and accuracy in data delivery
  • Familiarity with tools and software that enable scheduling and automatic generation of reports (e.g., cron jobs, Apache Airflow, Microsoft Power Automate)
  • Experience with Event Tracking, conceptualizing product events, and product analytics tools (Amplitude, Google Analytics, Matomo, etc.)


The perks of being a payabler:

  • 🚗 Drive in Style: After your probation, a sleek company car is all yours.
  • Future-Proof Your Finances: Jump on board, and after your probation period, we'll kickstart your Provident Fund
  • 🌱 Grow Without Limits: Our environment is all about nurturing your talents and fueling your ambition with endless opportunities for professional development.
  • Speak Like a Local: Greek language classes, offered twice a week for all team members.
  • 💳 Shop and Save: Get exclusive access to a discount card at various local businesses.
  • 🌍Thrive in a multicultural workplace that celebrates diversity and values your unique contributions. Here, every perspective is appreciated, and every voice is heard.
  • Lead the Charge in Pioneering Projects: Be at the forefront of innovation by playing a key role in groundbreaking projects.
  • 🏝 Max Out Your Downtime: With 25 days off plus public holidays, and an extra 10 days for when you're under the weather, we make sure you have ample time to relax, recharge, and return brighter.
  • 📚 Support for Your Educational Aspirations: We're here to support your educational pursuits because we believe in investing in your growth.
  • 🍔 Wolt Your Way Through Lunch: Enjoy a Wolt lunch allowance of €150 per month

Ready to Join Us?

Let's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team!

If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our privacy policy at https://www.payabl.com/privacy-policy +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3982415059,https://es.linkedin.com/jobs/view/data-analyst-analista-de-datos-at-universidad-camilo-jos%C3%A9-cela-3982415059?position=7&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=30xxMSlprc%2FMzNHd7%2FdG7Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Analista de Datos),Universidad Camilo José Cela,"Villanueva de la Cañada, Community of Madrid, Spain","SEK Education Group busca incorporar un/a Analista de Datos. + +FUNCIONES: + +Gestión de Datos: Recolectar, integrar, limpiar y preparar datos de diversas fuentes para su análisis. +Análisis de Datos: Realizar análisis detallados, incluyendo análisis exploratorio, modelado estadístico y análisis predictivo para obtener insights. +Comunicación de Insights: Visualizar los hallazgos a través de informes, paneles y presentaciones para facilitar la toma de decisiones informadas en toda la organización. + + + + +REQUISITOS: + +Grado universitario en Estadística, Matemáticas, Informática, Ingeniería u otro campo relacionado. +Al menos 2 años de experiencia en un rol técnico, preferiblemente de analista de datos. +Español (hablado y escrito); conocimiento de inglés recomendable. +Conocimientos técnicos mínimos: PowerBI, SQL y Azure Data Factory. +Skills Deseables: Conocimientos Azure, APIs: (REST APIs), Microsoft Fabric, Conocimientos de frameworks de gobierno del dato, dominio de herramientas de análisis de datos y modelos estadísticos (Python). + +SE OFRECE: + +Contrato indefinido. +Horario: Lunes a Viernes, de 9:00 a.m. a 6:00 p.m. + +Show more ","
+ + + + + +
+
+

SEK Education Group busca incorporar un/a Analista de Datos.

FUNCIONES:

  • Gestión de Datos: Recolectar, integrar, limpiar y preparar datos de diversas fuentes para su análisis.
  • Análisis de Datos: Realizar análisis detallados, incluyendo análisis exploratorio, modelado estadístico y análisis predictivo para obtener insights.
  • Comunicación de Insights: Visualizar los hallazgos a través de informes, paneles y presentaciones para facilitar la toma de decisiones informadas en toda la organización.


REQUISITOS:

  • Grado universitario en Estadística, Matemáticas, Informática, Ingeniería u otro campo relacionado.
  • Al menos 2 años de experiencia en un rol técnico, preferiblemente de analista de datos.
  • Español (hablado y escrito); conocimiento de inglés recomendable.
  • Conocimientos técnicos mínimos: PowerBI, SQL y Azure Data Factory.
  • Skills Deseables: Conocimientos Azure, APIs: (REST APIs), Microsoft Fabric, Conocimientos de frameworks de gobierno del dato, dominio de herramientas de análisis de datos y modelos estadísticos (Python).

SE OFRECE:

  • Contrato indefinido.
  • Horario: Lunes a Viernes, de 9:00 a.m. a 6:00 p.m.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3997300655,https://cy.linkedin.com/jobs/view/data-analyst-at-payabl-3997300655?position=9&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=eMyHhn2N77spl9DRXIl%2BqA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,payabl.,"Limassol, Limassol, Cyprus","payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to business and make them all available in one place on our platform we call payabl.one. + +As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts. With offices located in Frankfurt, Amsterdam, Limassol, and London, we are currently undergoing significant expansion and are looking for a Data Analyst to join our team. This role can be in one of our offices in Frankfurt, Limassol, Amsterdam, or London, it can also be remote anywhere in Europe. + +This role is about: + +The Data Analyst role is responsible for collecting, processing data of business information systems to discover useful information, suggest conclusions, and support decision-making. Furthermore you will identify challenges and opportunities within the organization and provide solutions that help achieve the business' goals. Strong technology, analytical and communication skills are must-have traits. You will be a driving force in data systems development, backing up suggestions with evidence. + +You will: + + +Analyse data, outlining challenges, opportunities and solutions based on the internal and external data +Filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance +Use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends +Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance +Prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes +Work with other departments to understand their data needs and help them make informed decisions based on data insights + + + +What we need: + + +Excellent communication and interpersonal skills +Excellent at presenting data analysis insights to any type of audience in a clear and actionable way +Have a sense of ownership and assume end-to-end responsibility in everything you do +Experience working with senior decision makers +Conduct data analysis with Python (Pandas, Matplotlib, SciPy), SQL, Excel +Experience with data visualization tools (Power BI, Tableau or Qlik) and databases (PostgreSQL, BigQuery, Apache Druid) +Ability to automate data reports, ensuring efficiency and accuracy in data delivery +Familiarity with tools and software that enable scheduling and automatic generation of reports (e.g., cron jobs, Apache Airflow, Microsoft Power Automate) +Experience with Event Tracking, conceptualizing product events, and product analytics tools (Amplitude, Google Analytics, Matomo, etc.) + + + +The perks of being a payabler: + + +🚗 Drive in Style: After your probation, a sleek company car is all yours. +Future-Proof Your Finances: Jump on board, and after your probation period, we'll kickstart your Provident Fund +🌱 Grow Without Limits: Our environment is all about nurturing your talents and fueling your ambition with endless opportunities for professional development. +Speak Like a Local: Greek language classes, offered twice a week for all team members. +💳 Shop and Save: Get exclusive access to a discount card at various local businesses. +🌍Thrive in a multicultural workplace that celebrates diversity and values your unique contributions. Here, every perspective is appreciated, and every voice is heard. +Lead the Charge in Pioneering Projects: Be at the forefront of innovation by playing a key role in groundbreaking projects. +🏝 Max Out Your Downtime: With 25 days off plus public holidays, and an extra 10 days for when you're under the weather, we make sure you have ample time to relax, recharge, and return brighter. +📚 Support for Your Educational Aspirations: We're here to support your educational pursuits because we believe in investing in your growth. +🍔 Wolt Your Way Through Lunch: Enjoy a Wolt lunch allowance of €150 per month + + +Ready to Join Us? + +Let's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team! + +If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our privacy policy at https://www.payabl.com/privacy-policy +Show more ","
+ + + + + +
+
+ payabl. empowers businesses to grow through payments innovation and banking services. Our ambition is to expand our strong portfolio of global financial services we provide to business and make them all available in one place on our platform we call payabl.one.

As a licensed financial company with principal membership with card schemes, we specialize in global payments and providing businesses with multi-currency accounts. With offices located in Frankfurt, Amsterdam, Limassol, and London, we are currently undergoing significant expansion and are looking for a Data Analyst to join our team. This role can be in one of our offices in Frankfurt, Limassol, Amsterdam, or London, it can also be remote anywhere in Europe.

This role is about:

The Data Analyst role is responsible for collecting, processing data of business information systems to discover useful information, suggest conclusions, and support decision-making. Furthermore you will identify challenges and opportunities within the organization and provide solutions that help achieve the business' goals. Strong technology, analytical and communication skills are must-have traits. You will be a driving force in data systems development, backing up suggestions with evidence.

You will:

  • Analyse data, outlining challenges, opportunities and solutions based on the internal and external data
  • Filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance
  • Use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends
  • Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance
  • Prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes
  • Work with other departments to understand their data needs and help them make informed decisions based on data insights


What we need:

  • Excellent communication and interpersonal skills
  • Excellent at presenting data analysis insights to any type of audience in a clear and actionable way
  • Have a sense of ownership and assume end-to-end responsibility in everything you do
  • Experience working with senior decision makers
  • Conduct data analysis with Python (Pandas, Matplotlib, SciPy), SQL, Excel
  • Experience with data visualization tools (Power BI, Tableau or Qlik) and databases (PostgreSQL, BigQuery, Apache Druid)
  • Ability to automate data reports, ensuring efficiency and accuracy in data delivery
  • Familiarity with tools and software that enable scheduling and automatic generation of reports (e.g., cron jobs, Apache Airflow, Microsoft Power Automate)
  • Experience with Event Tracking, conceptualizing product events, and product analytics tools (Amplitude, Google Analytics, Matomo, etc.)


The perks of being a payabler:

  • 🚗 Drive in Style: After your probation, a sleek company car is all yours.
  • Future-Proof Your Finances: Jump on board, and after your probation period, we'll kickstart your Provident Fund
  • 🌱 Grow Without Limits: Our environment is all about nurturing your talents and fueling your ambition with endless opportunities for professional development.
  • Speak Like a Local: Greek language classes, offered twice a week for all team members.
  • 💳 Shop and Save: Get exclusive access to a discount card at various local businesses.
  • 🌍Thrive in a multicultural workplace that celebrates diversity and values your unique contributions. Here, every perspective is appreciated, and every voice is heard.
  • Lead the Charge in Pioneering Projects: Be at the forefront of innovation by playing a key role in groundbreaking projects.
  • 🏝 Max Out Your Downtime: With 25 days off plus public holidays, and an extra 10 days for when you're under the weather, we make sure you have ample time to relax, recharge, and return brighter.
  • 📚 Support for Your Educational Aspirations: We're here to support your educational pursuits because we believe in investing in your growth.
  • 🍔 Wolt Your Way Through Lunch: Enjoy a Wolt lunch allowance of €150 per month

Ready to Join Us?

Let's embark on a journey to redefine the landscape of payments together. We're not just offering a role; we're inviting you to be a part of something bigger. Join our team, and let's innovate, disrupt, and lead the future of payments. Together, we can make an impact that resonates. Welcome to the team!

If this role seems like a good match, please submit your resume all applications are treated with the strictest confidentiality. Please note that we may keep your CV for a period of one (1) year for future relevant job opportunities. For more information about how we process your data please see our privacy policy at https://www.payabl.com/privacy-policy +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3993294201,https://ro.linkedin.com/jobs/view/data-analyst-at-vois-3993294201?position=10&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=ftKs0jzR%2FCQyCn1UUEXzdg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,_VOIS,"Bucharest, Romania","Your day to day: + +Your work involves research into finding and implementing the proper technical solutions that correspond to business requirements and at the same time that fit Vodafone’s strategy. The developed solutions are complex, containing databases, business logic, user interfaces and integrations with other components and systems. In this process you the opportunity to experiment various technologies and tools. + + + + +With these activities you will have a great impact on our business: + +Create, define and maintain data pipelines using Google Cloud Platform Dataflow or Data Fusion to support the creation of detailed business cases +Orchestrate the flows – using Cloud Composer on GCP (open source service built on Apache Airflow) +Move the data to BigQuery and GCS +The main activity as part of a greater project - building data ocean for all Local markets and Vodafone entities +You will create data analytical use cases passing data to data scientists team for ML model (clean, consistent datasets) +Enable automation of analysis and reporting in BI tools + + + + + + + +With these skills you are a great candidate: + +Experience using Google Cloud products - Dataflow, Dataproc, Data Fusion is preferable +Significant experience using Python is essential; expertise in data manipulation: use of structured data tools (e.g., SQL & Python). +Strong data mapping and data analysis skills +Previous experience - 2-3 years work experience +Show more ","
+ + + + + +
+
+

Your day to day:

  • Your work involves research into finding and implementing the proper technical solutions that correspond to business requirements and at the same time that fit Vodafone’s strategy. The developed solutions are complex, containing databases, business logic, user interfaces and integrations with other components and systems. In this process you the opportunity to experiment various technologies and tools.


With these activities you will have a great impact on our business:

  • Create, define and maintain data pipelines using Google Cloud Platform Dataflow or Data Fusion to support the creation of detailed business cases
  • Orchestrate the flows – using Cloud Composer on GCP (open source service built on Apache Airflow)
  • Move the data to BigQuery and GCS
  • The main activity as part of a greater project - building data ocean for all Local markets and Vodafone entities
  • You will create data analytical use cases passing data to data scientists team for ML model (clean, consistent datasets)
  • Enable automation of analysis and reporting in BI tools



With these skills you are a great candidate:

  • Experience using Google Cloud products - Dataflow, Dataproc, Data Fusion is preferable
  • Significant experience using Python is essential; expertise in data manipulation: use of structured data tools (e.g., SQL & Python).
  • Strong data mapping and data analysis skills
  • Previous experience - 2-3 years work experience
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",2024-08-07,[] +3983528346,https://ie.linkedin.com/jobs/view/data-analyst-at-azon-recruitment-group-3983528346?position=14&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=XEg3r7wfc8VKGUrhaMvbuw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Azon Recruitment Group,"Dublin, County Dublin, Ireland","My client is an indigenous financial services company based in Dublin city centre and they are looking to expand on their already-existing Data Analyst division. + + + + +Salary: €40,000-€45,000 + +Hybrid working: 1 day in the office a week + + + + +Get in touch for more information and the requirements are below. + + + + +Qualifications + +Outstanding mathematical, analytical and problem-solving skills; +Excellent data wrangling skills from discovery to publishing; +Clear experience in database interrogation, analysis tools and data visualisation, including the use of SQL (Power BI a plus) +Exceptional communication and presentation skills for explaining your work to people who don't understand the mechanics behind data analysis; +Effective listening skills for understanding the requirements of the business; +Excellent planning, time management and organisational skills; +The ability to deliver under pressure and to tight deadlines with flexibility to adapt in a changing environment; +Excellent attention to detail; +Teamworking skills and a collaborative approach to sharing ideas, insights and finding solutions; +Excellent knowledge of databases (relational & non-relational) and experience working with and creating data architectures; + + + + + + + +By applying for this job you are indicating your permission for Azon to process your personal details in the manner described in our Privacy Policy. + +Show more ","
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+

My client is an indigenous financial services company based in Dublin city centre and they are looking to expand on their already-existing Data Analyst division.


Salary: €40,000-€45,000

Hybrid working: 1 day in the office a week


Get in touch for more information and the requirements are below.


Qualifications

  • Outstanding mathematical, analytical and problem-solving skills;
  • Excellent data wrangling skills from discovery to publishing;
  • Clear experience in database interrogation, analysis tools and data visualisation, including the use of SQL (Power BI a plus)
  • Exceptional communication and presentation skills for explaining your work to people who don't understand the mechanics behind data analysis;
  • Effective listening skills for understanding the requirements of the business;
  • Excellent planning, time management and organisational skills;
  • The ability to deliver under pressure and to tight deadlines with flexibility to adapt in a changing environment;
  • Excellent attention to detail;
  • Teamworking skills and a collaborative approach to sharing ideas, insights and finding solutions;
  • Excellent knowledge of databases (relational & non-relational) and experience working with and creating data architectures;



By applying for this job you are indicating your permission for Azon to process your personal details in the manner described in our Privacy Policy.

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+ + + + + + + + + + + + + + + + + + +
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",2024-07-31,[] +3984310165,https://es.linkedin.com/jobs/view/data-analyst-at-hays-3984310165?position=19&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=VWPvfb7Db847xYZJAeOQxQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Hays,"Madrid, Community of Madrid, Spain","Desde HAYS estamos colaborando con una compañía líder global en consultoría tecnológica, dedicada al desarrollo tecnológico de soluciones adaptadas a las necesidades empresariales del cliente, desde la estrategia y el diseño hasta la gestión de operaciones. Para hacerlo, cuentan con una profunda experiencia en la industria y un dominio de los campos en constante evolución de la nube, los datos, la inteligencia artificial, la conectividad, el software, la ingeniería digital y las plataformas. + + + + +Actualmente buscamos un/a Data Analyst para incorporarse a su equipo, a través de una modalidad laboral 100% remoto. + + + + +¿Cuáles serán tus funciones? + +Liderar iniciativas de análisis de modelos de datos, especialmente en el contexto de una migración de datos. +Investigar y proponer soluciones de mapeo de datos para cumplir con los modelos de datos objetivo. +Participar activamente en conversaciones con expertos en calidad de datos, propietarios de datos y responsables de datos, así como con expertos en la materia. +Brindar soporte durante los ciclos de pruebas para aclarar dudas y resolver incidencias. +Informar sobre el progreso a la alta dirección. + + + + +¿Cuáles son los requisitos? + +Titulación universitaria en tecnología, preferiblemente en informática. +Más de 3 años de experiencia laboral como analista de datos. +Experiencia en análisis y diseño de sistemas de recopilación de datos. +Historial de desarrollo de análisis de alta calidad que ha resultado en definiciones y migraciones exitosas de modelos de datos. +Mantenimiento de relaciones internas y externas para garantizar el cumplimiento en todas las actividades. +Fuertes habilidades analíticas con la capacidad de recopilar, organizar, analizar y difundir cantidades significativas de información con atención al detalle y precisión. + + + + +¿Qué ofrecemos? + +Proyecto estable. +Modalidad 100% remoto. +Contratación inicialmente con HAYS, y luego pasas a cliente final. + + + + + + + +Estamos esperando perfiles como el tuyo, apasionados con la tecnología y que quiera enfrentarse a un nuevo reto. Si es tu caso, responde a este email enviando tu CV para que podamos contarte más! + +Show more ","
+ + + + + +
+
+

Desde HAYS estamos colaborando con una compañía líder global en consultoría tecnológica, dedicada al desarrollo tecnológico de soluciones adaptadas a las necesidades empresariales del cliente, desde la estrategia y el diseño hasta la gestión de operaciones. Para hacerlo, cuentan con una profunda experiencia en la industria y un dominio de los campos en constante evolución de la nube, los datos, la inteligencia artificial, la conectividad, el software, la ingeniería digital y las plataformas.


Actualmente buscamos un/a Data Analyst para incorporarse a su equipo, a través de una modalidad laboral 100% remoto.


¿Cuáles serán tus funciones?

  • Liderar iniciativas de análisis de modelos de datos, especialmente en el contexto de una migración de datos.
  • Investigar y proponer soluciones de mapeo de datos para cumplir con los modelos de datos objetivo.
  • Participar activamente en conversaciones con expertos en calidad de datos, propietarios de datos y responsables de datos, así como con expertos en la materia.
  • Brindar soporte durante los ciclos de pruebas para aclarar dudas y resolver incidencias.
  • Informar sobre el progreso a la alta dirección.


¿Cuáles son los requisitos?

  • Titulación universitaria en tecnología, preferiblemente en informática.
  • Más de 3 años de experiencia laboral como analista de datos.
  • Experiencia en análisis y diseño de sistemas de recopilación de datos.
  • Historial de desarrollo de análisis de alta calidad que ha resultado en definiciones y migraciones exitosas de modelos de datos.
  • Mantenimiento de relaciones internas y externas para garantizar el cumplimiento en todas las actividades.
  • Fuertes habilidades analíticas con la capacidad de recopilar, organizar, analizar y difundir cantidades significativas de información con atención al detalle y precisión.


¿Qué ofrecemos?

  • Proyecto estable.
  • Modalidad 100% remoto.
  • Contratación inicialmente con HAYS, y luego pasas a cliente final.



Estamos esperando perfiles como el tuyo, apasionados con la tecnología y que quiera enfrentarse a un nuevo reto. Si es tu caso, responde a este email enviando tu CV para que podamos contarte más!

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",2024-07-25,[] +3990666430,https://es.linkedin.com/jobs/view/data-analyst-beca-at-vml-3990666430?position=20&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=5FAB4Cx0cEE4uDzSUq8fwg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Beca),VML,"Madrid, Community of Madrid, Spain","Así somos: + +VML es una agencia de innovación y crecimiento en un mundo en constante evolución. Contamos con un legado de un siglo de experiencia combinada, donde la creatividad se une a la tecnología para potenciar la inspiración. + + + + +Nuestra experiencia abarca todo el recorrido del cliente, ofreciendo profundos conocimientos en comunicación, comercio, consultoría, CRM, CX, datos, producción y tecnología. Proporcionamos soluciones integrales que resultan en proyectos revolucionarios. + + + + +Contamos con un equipo global de más de 30. 000 empleados en más de 150 oficinas en 64 mercados, cada uno contribuyendo a una cultura que valora la conexión, el sentido de pertenencia y el poder de las diferencias. + + + + +Este es el reto: + +Buscamos a una persona que haya cursado o esté cursando alguna carrera relacionada con el análisis de datos y Big Data. + + + + +Nos ayudarás en las labores diarias en un proyecto internacional, utilizando herramientas como Phyton, SQL o Power BI. + + + + +Requisitos: + +Tener disponibilidad para incorporarte el 7 de octubre. +Tener conocimientos básicos de las herramientas descritas. +Tener interés por desarrollarte en el mundo de data +Buen nivel de inglés hablado y escrito. +Poder firmar un convenio de prácticas con tu centro educativo sería genial. + + + + +La experiencia en VML: + +Nuestras becas son un espacio donde hay lugar para el debate, la innovación y la transformación. +Las prácticas son remuneradas y la jornada laboral es de 25h/semana. +Nuestro modelo de trabajo es híbrido, pero se requerirá una mayor presencialidad en nuestras oficinas de Madrid. +No tenemos dress code. Ven como quieras a trabajar. + + + + +Próximos pasos: + +Si has llegado hasta aquí es porque hemos conseguido llamar tu atención.😉 + +Apúntate a la oferta y el equipo de People echará un vistazo a tu CV. Si coincide con lo que buscamos, recibirás una llamada para conocernos mejor y que podamos contarte más sobre VML y sobre el rol. + + + + +Si necesitas un tip para el proceso: simplemente queremos que seas tú. + + + + +¿Te vienes? 🚀 + +Show more ","
+ + + + + +
+
+

Así somos:

VML es una agencia de innovación y crecimiento en un mundo en constante evolución. Contamos con un legado de un siglo de experiencia combinada, donde la creatividad se une a la tecnología para potenciar la inspiración.


Nuestra experiencia abarca todo el recorrido del cliente, ofreciendo profundos conocimientos en comunicación, comercio, consultoría, CRM, CX, datos, producción y tecnología. Proporcionamos soluciones integrales que resultan en proyectos revolucionarios.


Contamos con un equipo global de más de 30. 000 empleados en más de 150 oficinas en 64 mercados, cada uno contribuyendo a una cultura que valora la conexión, el sentido de pertenencia y el poder de las diferencias.


Este es el reto:

Buscamos a una persona que haya cursado o esté cursando alguna carrera relacionada con el análisis de datos y Big Data.


Nos ayudarás en las labores diarias en un proyecto internacional, utilizando herramientas como Phyton, SQL o Power BI.


Requisitos:

  • Tener disponibilidad para incorporarte el 7 de octubre.
  • Tener conocimientos básicos de las herramientas descritas.
  • Tener interés por desarrollarte en el mundo de data
  • Buen nivel de inglés hablado y escrito.
  • Poder firmar un convenio de prácticas con tu centro educativo sería genial.


La experiencia en VML:

  • Nuestras becas son un espacio donde hay lugar para el debate, la innovación y la transformación.
  • Las prácticas son remuneradas y la jornada laboral es de 25h/semana.
  • Nuestro modelo de trabajo es híbrido, pero se requerirá una mayor presencialidad en nuestras oficinas de Madrid.
  • No tenemos dress code. Ven como quieras a trabajar.


Próximos pasos:

Si has llegado hasta aquí es porque hemos conseguido llamar tu atención.😉

Apúntate a la oferta y el equipo de People echará un vistazo a tu CV. Si coincide con lo que buscamos, recibirás una llamada para conocernos mejor y que podamos contarte más sobre VML y sobre el rol.


Si necesitas un tip para el proceso: simplemente queremos que seas tú.


¿Te vienes? 🚀

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",2024-08-02,[] +3982041411,https://lt.linkedin.com/jobs/view/data-analyst-at-nord-security-3982041411?position=21&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=L3HZtYIDSiZyXDY6KiX5Hg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Nord Security,"Vilnius, Vilniaus, Lithuania","Main Responsibilities + + +Collect and analyze financial data from both internal and external sources +Ensure data accuracy and integrity through comprehensive data validation and quality assurance procedures +Work with automation initiatives to optimize data handling and reporting processes, reducing manual efforts +Prepare findings and insights to stakeholders, supporting strategic planning and operational improvements + + + + + +Core Requirements + + +Proficiency in SQL for querying and manipulating data, preferably using Google BigQuery +Excellent communication skills and the ability to collaborate effectively with stakeholders from different departments +Knowledge of process improvement and automation, working with technical teams +Basic understanding of python or other programming languages would be an advantage + + + + + +Tools You Will Use + + + +SQL; +BigQuery; +dbt; +Microsoft Excel; +Google Sheets; +Jira; +Confluence + + + + + +Salary Range + + + +Gross Salary 1990 - 3560 EUR/Month + + + + +Show more ","
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+ Main Responsibilities

  • Collect and analyze financial data from both internal and external sources
  • Ensure data accuracy and integrity through comprehensive data validation and quality assurance procedures
  • Work with automation initiatives to optimize data handling and reporting processes, reducing manual efforts
  • Prepare findings and insights to stakeholders, supporting strategic planning and operational improvements




Core Requirements

  • Proficiency in SQL for querying and manipulating data, preferably using Google BigQuery
  • Excellent communication skills and the ability to collaborate effectively with stakeholders from different departments
  • Knowledge of process improvement and automation, working with technical teams
  • Basic understanding of python or other programming languages would be an advantage




Tools You Will Use


  • SQL;
  • BigQuery;
  • dbt;
  • Microsoft Excel;
  • Google Sheets;
  • Jira;
  • Confluence




Salary Range


  • Gross Salary 1990 - 3560 EUR/Month



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",2024-07-25,[] +3984615566,https://fr.linkedin.com/jobs/view/data-analyst-f-h-at-cr%C3%A9dit-agricole-technologies-et-services-3984615566?position=24&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=n17s3GIuIk7PIsyoM58i%2BA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (F/H),Crédit Agricole Technologies et Services,"Nantes, Pays de la Loire, France","⭐ 𝐓𝐮 𝐜𝐡𝐞𝐫𝐜𝐡𝐞𝐬 𝐚̀ 𝐭𝐫𝐨𝐮𝐯𝐞𝐫 𝐝𝐮 𝐬𝐞𝐧𝐬 𝐚̀ 𝐭𝐨𝐧 𝐭𝐫𝐚𝐯𝐚𝐢𝐥 𝐞𝐭 à 𝐚𝐯𝐨𝐢𝐫 𝐮𝐧 𝐢𝐦𝐩𝐚𝐜𝐭 𝐩𝐨𝐬𝐢𝐭𝐢𝐟 𝐬𝐮𝐫 𝐥𝐞 𝐪𝐮𝐨𝐭𝐢𝐝𝐢𝐞𝐧 𝐝𝐞 𝐦𝐢𝐥𝐥𝐢𝐨𝐧𝐬 𝐝𝐞 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐛𝐚𝐧𝐜𝐚𝐢𝐫𝐞𝐬 𝐞𝐧 𝐅𝐫𝐚𝐧𝐜𝐞 ? + + + + + + + +💥 𝐓𝐮 𝐬𝐨𝐮𝐡𝐚𝐢𝐭𝐞𝐬 𝐞́𝐯𝐨𝐥𝐮𝐞𝐫 𝐝𝐚𝐧𝐬 𝐮𝐧 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐧𝐞𝐦𝐞𝐧𝐭 𝐚𝐠𝐢𝐥𝐞, 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐟 𝐞𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐪𝐮𝐞 𝐞𝐧 𝐞́𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐩𝐞𝐫𝐦𝐚𝐧𝐞𝐧𝐭𝐞 ? + + + + +Alors notre entreprise, 𝐂𝐫𝐞́𝐝𝐢𝐭 𝐀𝐠𝐫𝐢𝐜𝐨𝐥𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐞𝐭 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬, pourrait te correspondre ! + + + + +𝐐𝐮𝐞 𝐟𝐚𝐢𝐬𝐨𝐧𝐬-𝐧𝐨𝐮𝐬 ? Nous fabriquons les outils informatiques des conseillers bancaires et de nos clients du réseau bancaire des Caisses Régionales du groupe Crédit Agricole. + + + + +𝐐𝐮𝐞 𝐟𝐞𝐫𝐨𝐧𝐬-𝐧𝐨𝐮𝐬 𝐞𝐧𝐬𝐞𝐦𝐛𝐥𝐞 ? Nous continuerons, 𝐚𝐯𝐞𝐜 𝐭𝐨𝐢 𝐞𝐭 𝐧𝐨𝐬 𝟏𝟖𝟓𝟎 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞𝐮𝐫𝐬 𝐞𝐭 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐫𝐢𝐜𝐞𝐬, à « 𝑓𝑎𝑖𝑟𝑒 𝑑𝑒 𝐶𝐴-𝑇𝑆, 𝑙'𝑎𝑐𝑡𝑒𝑢𝑟 𝐼𝑇 𝑑𝑒 𝑟𝑒́𝑓𝑒́𝑟𝑒𝑛𝑐𝑒 𝑒𝑛 𝑡𝑒𝑟𝑚𝑒𝑠 𝑑𝑒 𝑝𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒, 𝑑𝑒 𝑡𝑒𝑐ℎ𝑛𝑜𝑙𝑜𝑔𝑖𝑒 𝑒𝑡 𝑑𝑒 𝑟𝑒𝑠𝑝𝑜𝑛𝑠𝑎𝑏𝑖𝑙𝑖𝑡𝑒́ 𝑠𝑜𝑐𝑖𝑒́𝑡𝑎𝑙𝑒 » avec comme objectif commun : la satisfaction client + + + + + + + +Quelle est t𝐚 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐞𝐧 𝐭𝐚𝐧𝐭 𝐪𝐮𝐞 Data Analyst 𝐚𝐮 𝐬𝐞𝐢𝐧 de la squad Data As A Service 🌟 ? + + + + +En tant que Data analyst, tu seras accueilli.e comme un véritable moteur à notre efficacité collective. Plus largement, tu rejoindras la tribu DATAHUB, en charge de la fabrication de l’offre de services Data des 39 Caisses Régionales. + + + + +En intégrant la squad Data As A Service, composée d’une douzaine de collaborateurs et collaboratrices (Product Owner, Scrum master, Data analyst), tu auras un impact majeur sur la bonne utilisation des produits d’aide à décision de la Tribu auprès des Caisses Régionales et sur le respect des bonnes pratiques de fabrication auprès des équipes de développement de CATS. + + + + + + + +𝐓𝐮 𝐚𝐮𝐫𝐚𝐬 𝐥’𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐞́ : + + + + + + + +🚀 D’assurer le support à une utilisation performante des outils d’aide à la décision pour les Caisses Régionales (Direction stratégique, Back Office, réseau d’agences) : + + + + + + + +En étant le contact privilégié des utilisateurs des Caisses Régionales sur le volet des outils décisionnels et sur les données du Système d’information bancaire + + + + +En favorisant, par la pédagogie de tes réponses, le quotidien des utilisateurs, et ainsi en contribuant à la satisfaction de nos 21 millions de clients à travers la France. + + + + +En participant à la mesure de la satisfaction des utilisateurs en contribuant à l’élaboration et au dépouillement d’enquêtes. + + + + +En favorisant l’autonomie des équipes de développement en Caisse Régionale en leur transmettant les bonnes pratiques. + + + + +En mettant à disposition des utilisateurs les outils d’aide à l’utilisation et à la fabrication : les outils de supervision. + + + + +En communiquant vers les utilisateurs sur les incidents ou les changements avec interruption de service de nos produits. + + + + +En participant aux cellules de résolution des incidents majeurs. + + + + + + + +💡 D’être le garant du bon fonctionnement de nos plateformes (plateforme de fabrication et de consommation) + + + + + + + +En facilitant la bonne appropriation des normes de développement auprès de l’ensemble des équipes de fabrication de CATS + + + + +En validant la performance des tableaux de bord avant leur mise à disposition + + + + + + + +🔍 D’évoluer dans un environnement agile stimulant : + + + + + + + +En t’appropriant les modèles de données des informations bancaires + + + + +En analysant les besoins métiers exprimés par les utilisateurs à travers les incidents ou les assistances + + + + +En t’alimentant de l’expertise de la squad, traduite au travers de bases de connaissance, arbres de décision… + + + + +En t’inspirant des retours d’expérience à l’occasion des cérémonies AGILE + + + + + + + +💻Tu utiliseras toute la palette de tes compétences : + + + + +• En nourrissant ta curiosité et ta soif d'apprentissage dans un environnement technique très large : Entrepôts de données sous SQL Server, TERADATA, Outils BI MicroSTrategy, BO Bi4 + + + + +• Au quotidien, tu utiliseras SQL pour requêter et extraire des données pertinentes à partir de différentes sources de données pour pouvoir disposer des bons éléments. + + + + +• Notre environnement de travail est large et les interlocuteurs sont nombreux : Pôle Utilisateurs, autres squads Data & produits, référents CR… la communication et la pédagogie sont la clé ! + + + + +• En évoluant dans un environnement Agile favorisant l’approche collective dans un cadre SCRUM + + + + + + + +Ta Vie au sein de la SQUAD + + + + + + + +✅ Une équipe axée sur le service client, la qualité et l’intelligence collective + + + + +🤝 Un esprit d’entraide et de collaboration + + + + +🤩 De la bonne humeur et des collègues passionnés et passionnants ! + + + + +🧠 Une équipe pluridisciplinaire en termes de connaissances techniques + + + + +🌟 Un environnement de travail favorisant l’amélioration continue des process et des connaissances de l’équipe + + + + +🌟 Accès continu à la connaissance grâce à un catalogue très riche de formations en savoir-faire et en savoir-être, des accès aux salons, conférences et événements (Devoxx, DevFest, Vivatech, Salon de la data et de l’IA, ..) pour rester à la pointe des dernières tendances et meilleures pratiques + + + + +👪 Un accueil personnalisé assuré par tes collègues en complément du management et des référents RH pour t’aider à maximiser ton potentiel + + + + + + + +Découvrez le site de Nantes. + + + + +𝐂𝐞 𝐪𝐮𝐞 𝐧𝐨𝐮𝐬 𝐟𝐚𝐢𝐬𝐨𝐧𝐬 𝐩𝐨𝐮𝐫 𝐟𝐚𝐜𝐢𝐥𝐢𝐭𝐞𝐫 𝐭𝐚 𝐯𝐢𝐞 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐧𝐞𝐥𝐥𝐞 𝐞𝐭 𝐩𝐞𝐫𝐬𝐨𝐧𝐧𝐞𝐥𝐥𝐞 : + + + + +Nous te proposons : + +🚀 De participer à l’évolution de CA-TS en matière de performance, de technologie et de responsabilité sociétale : participation aux projets d’entreprise, développement de la fabrication responsable, contribution à la diminution de notre empreinte carbone. + + + + +👥De rejoindre CATECHS : LA communauté des techs de CA-TS. Et y retrouver des Techtalks, des sérious games, du Mob Programming, de la veille techno… + + + + +👨‍💻 De prendre part à des projets agiles complexes et innovants, de bout en bout : volumétrie clients importante, diversité technologique et métier, relation étroite avec tous nos clients (Conseillers bancaires en Caisses Régionales, clients du Crédit Agricole) + + + + +🏦 D’évoluer dans un environnement alliant modernité (espaces agiles et de créativité, télétravail) et prônant la Qualité de Vie au Travail (équilibre vie professionnelle/vie personnelle, avantages parentalité, forfait mobilité durable) + + + + + + + +👫 De faire partie d’une entreprise motrice sur la diversité et l’égalité (94/100 sur l’index égalité Femmes / Hommes qui évalue la politique en matière d’égalité salariale et promotion entre femmes et hommes.) + + + + +🌿 De rejoindre une entreprise labélisée numérique responsable qui participe aux enjeux de sobriété et d’inclusion numérique (par exemple l’écoconception et l’accessibilité numérique) qui sont au cœur de la fabrication + + + + +🧠 De continuer à développer tes compétences et connaissances, à être accompagné∙e ou accompagner à ton tour (formations, intégration, mentoring, mobilité interne, actions marque employeur) + + + + +⭐ De faire évoluer ta carrière professionnelle et t’investir durablement (mobilités interne et groupe). + + + + + + + +𝐓𝐨𝐮𝐭 𝐜̧𝐚, 𝐞𝐧 𝐭𝐞 𝐩𝐞𝐫𝐦𝐞𝐭𝐭𝐚𝐧𝐭 : + + + + +💻 D’être cadre au forfait en ayant de la flexibilité sur la gestion du temps de travail, tu pourras travailler à distance 2 jours par semaine. + + + + +🏖 De disposer, en moyenne chaque année, de 46 jours de congés, et un compte épargne temps pour vous reposer et faire ce que vous aimez chaque année. + + + + +👪 D’avoir la possibilité de recevoir un intéressement important en lien avec les résultats de CATS. + + + + +🚎🌿 D’avoir un remboursement à hauteur de 75% de tes transports en commun / une Prime mobilité verte de 500 euros par an. + + + + +💳 D’avoir accès à un restaurant d’entreprise, aux avantages bancaires et assurances du Groupe CA, un CSE compétitif ainsi que d’une excellente couverture santé pour prendre soin de vous et de votre famille. + + + + +💟 De participer au programme de l’arrondi sur salaire au bénéfice d’associations... + + + + +𝐀̀ 𝐪𝐮𝐨𝐢 𝐫𝐞𝐬𝐬𝐞𝐦𝐛𝐥𝐞𝐫𝐚 𝐭𝐨𝐧 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐮𝐬 𝐝𝐞 𝐫𝐞𝐜𝐫𝐮𝐭𝐞𝐦𝐞𝐧𝐭 ? + + + + +- Un premier échange avec ton Talent Acquisition Specialist Linda - 1h + +- Un second échange avec un ou une de nos expert.es - 1h + +- Un échange avec Jean-François, ton futur Leader ! - 1h + + + + +« 𝑃𝑎𝑟𝑐𝑒 𝑞𝑢𝑒 𝑙𝑒 ℎ𝑎𝑛𝑑𝑖𝑐𝑎𝑝 𝑛𝑒 𝑑𝑜𝑖𝑡 𝑝𝑙𝑢𝑠 𝑒̂𝑡𝑟𝑒 𝑢𝑛 ℎ𝑎𝑛𝑑𝑖𝑐𝑎𝑝 𝑒𝑛 𝑒𝑛𝑡𝑟𝑒𝑝𝑟𝑖𝑠𝑒, 𝑛𝑜𝑢𝑠, 𝐶𝑟𝑒́𝑑𝑖𝑡 𝐴𝑔𝑟𝑖𝑐𝑜𝑙𝑒 𝑇𝑒𝑐ℎ𝑛𝑜𝑙𝑜𝑔𝑖𝑒𝑠 𝑒𝑡 𝑆𝑒𝑟𝑣𝑖𝑐𝑒𝑠, 𝑎𝑣𝑜𝑛𝑠 𝑜𝑢𝑣𝑒𝑟𝑡 𝑛𝑜𝑠 𝑚𝑒́𝑡𝑖𝑒𝑟𝑠 𝑎̀ 𝑡𝑜𝑢𝑠 𝑙𝑒𝑠 𝑡𝑎𝑙𝑒𝑛𝑡𝑠, 𝑠𝑎𝑛𝑠 𝑒𝑥𝑐𝑒𝑝𝑡𝑖𝑜𝑛.» + +Show more ","
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⭐ 𝐓𝐮 𝐜𝐡𝐞𝐫𝐜𝐡𝐞𝐬 𝐚̀ 𝐭𝐫𝐨𝐮𝐯𝐞𝐫 𝐝𝐮 𝐬𝐞𝐧𝐬 𝐚̀ 𝐭𝐨𝐧 𝐭𝐫𝐚𝐯𝐚𝐢𝐥 𝐞𝐭 à 𝐚𝐯𝐨𝐢𝐫 𝐮𝐧 𝐢𝐦𝐩𝐚𝐜𝐭 𝐩𝐨𝐬𝐢𝐭𝐢𝐟 𝐬𝐮𝐫 𝐥𝐞 𝐪𝐮𝐨𝐭𝐢𝐝𝐢𝐞𝐧 𝐝𝐞 𝐦𝐢𝐥𝐥𝐢𝐨𝐧𝐬 𝐝𝐞 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐛𝐚𝐧𝐜𝐚𝐢𝐫𝐞𝐬 𝐞𝐧 𝐅𝐫𝐚𝐧𝐜𝐞 ?



💥 𝐓𝐮 𝐬𝐨𝐮𝐡𝐚𝐢𝐭𝐞𝐬 𝐞́𝐯𝐨𝐥𝐮𝐞𝐫 𝐝𝐚𝐧𝐬 𝐮𝐧 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐧𝐞𝐦𝐞𝐧𝐭 𝐚𝐠𝐢𝐥𝐞, 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐟 𝐞𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐪𝐮𝐞 𝐞𝐧 𝐞́𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐩𝐞𝐫𝐦𝐚𝐧𝐞𝐧𝐭𝐞 ?


Alors notre entreprise, 𝐂𝐫𝐞́𝐝𝐢𝐭 𝐀𝐠𝐫𝐢𝐜𝐨𝐥𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐞𝐭 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬, pourrait te correspondre !


𝐐𝐮𝐞 𝐟𝐚𝐢𝐬𝐨𝐧𝐬-𝐧𝐨𝐮𝐬 ? Nous fabriquons les outils informatiques des conseillers bancaires et de nos clients du réseau bancaire des Caisses Régionales du groupe Crédit Agricole.


𝐐𝐮𝐞 𝐟𝐞𝐫𝐨𝐧𝐬-𝐧𝐨𝐮𝐬 𝐞𝐧𝐬𝐞𝐦𝐛𝐥𝐞 ? Nous continuerons, 𝐚𝐯𝐞𝐜 𝐭𝐨𝐢 𝐞𝐭 𝐧𝐨𝐬 𝟏𝟖𝟓𝟎 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞𝐮𝐫𝐬 𝐞𝐭 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐫𝐢𝐜𝐞𝐬, à « 𝑓𝑎𝑖𝑟𝑒 𝑑𝑒 𝐶𝐴-𝑇𝑆, 𝑙'𝑎𝑐𝑡𝑒𝑢𝑟 𝐼𝑇 𝑑𝑒 𝑟𝑒́𝑓𝑒́𝑟𝑒𝑛𝑐𝑒 𝑒𝑛 𝑡𝑒𝑟𝑚𝑒𝑠 𝑑𝑒 𝑝𝑒𝑟𝑓𝑜𝑟𝑚𝑎𝑛𝑐𝑒, 𝑑𝑒 𝑡𝑒𝑐ℎ𝑛𝑜𝑙𝑜𝑔𝑖𝑒 𝑒𝑡 𝑑𝑒 𝑟𝑒𝑠𝑝𝑜𝑛𝑠𝑎𝑏𝑖𝑙𝑖𝑡𝑒́ 𝑠𝑜𝑐𝑖𝑒́𝑡𝑎𝑙𝑒 » avec comme objectif commun : la satisfaction client



Quelle est t𝐚 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐞𝐧 𝐭𝐚𝐧𝐭 𝐪𝐮𝐞 Data Analyst 𝐚𝐮 𝐬𝐞𝐢𝐧 de la squad Data As A Service 🌟 ?


En tant que Data analyst, tu seras accueilli.e comme un véritable moteur à notre efficacité collective. Plus largement, tu rejoindras la tribu DATAHUB, en charge de la fabrication de l’offre de services Data des 39 Caisses Régionales.


En intégrant la squad Data As A Service, composée d’une douzaine de collaborateurs et collaboratrices (Product Owner, Scrum master, Data analyst), tu auras un impact majeur sur la bonne utilisation des produits d’aide à décision de la Tribu auprès des Caisses Régionales et sur le respect des bonnes pratiques de fabrication auprès des équipes de développement de CATS.



𝐓𝐮 𝐚𝐮𝐫𝐚𝐬 𝐥’𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐞́ :



🚀 D’assurer le support à une utilisation performante des outils d’aide à la décision pour les Caisses Régionales (Direction stratégique, Back Office, réseau d’agences) :



  • En étant le contact privilégié des utilisateurs des Caisses Régionales sur le volet des outils décisionnels et sur les données du Système d’information bancaire


  • En favorisant, par la pédagogie de tes réponses, le quotidien des utilisateurs, et ainsi en contribuant à la satisfaction de nos 21 millions de clients à travers la France.


  • En participant à la mesure de la satisfaction des utilisateurs en contribuant à l’élaboration et au dépouillement d’enquêtes.


  • En favorisant l’autonomie des équipes de développement en Caisse Régionale en leur transmettant les bonnes pratiques.


  • En mettant à disposition des utilisateurs les outils d’aide à l’utilisation et à la fabrication : les outils de supervision.


  • En communiquant vers les utilisateurs sur les incidents ou les changements avec interruption de service de nos produits.


  • En participant aux cellules de résolution des incidents majeurs.



💡 D’être le garant du bon fonctionnement de nos plateformes (plateforme de fabrication et de consommation)



  • En facilitant la bonne appropriation des normes de développement auprès de l’ensemble des équipes de fabrication de CATS


  • En validant la performance des tableaux de bord avant leur mise à disposition



🔍 D’évoluer dans un environnement agile stimulant :



  • En t’appropriant les modèles de données des informations bancaires


  • En analysant les besoins métiers exprimés par les utilisateurs à travers les incidents ou les assistances


  • En t’alimentant de l’expertise de la squad, traduite au travers de bases de connaissance, arbres de décision…


  • En t’inspirant des retours d’expérience à l’occasion des cérémonies AGILE



💻Tu utiliseras toute la palette de tes compétences :


• En nourrissant ta curiosité et ta soif d'apprentissage dans un environnement technique très large : Entrepôts de données sous SQL Server, TERADATA, Outils BI MicroSTrategy, BO Bi4


• Au quotidien, tu utiliseras SQL pour requêter et extraire des données pertinentes à partir de différentes sources de données pour pouvoir disposer des bons éléments.


• Notre environnement de travail est large et les interlocuteurs sont nombreux : Pôle Utilisateurs, autres squads Data & produits, référents CR… la communication et la pédagogie sont la clé !


• En évoluant dans un environnement Agile favorisant l’approche collective dans un cadre SCRUM



Ta Vie au sein de la SQUAD



✅ Une équipe axée sur le service client, la qualité et l’intelligence collective


🤝 Un esprit d’entraide et de collaboration


🤩 De la bonne humeur et des collègues passionnés et passionnants !


🧠 Une équipe pluridisciplinaire en termes de connaissances techniques


🌟 Un environnement de travail favorisant l’amélioration continue des process et des connaissances de l’équipe


🌟 Accès continu à la connaissance grâce à un catalogue très riche de formations en savoir-faire et en savoir-être, des accès aux salons, conférences et événements (Devoxx, DevFest, Vivatech, Salon de la data et de l’IA, ..) pour rester à la pointe des dernières tendances et meilleures pratiques


👪 Un accueil personnalisé assuré par tes collègues en complément du management et des référents RH pour t’aider à maximiser ton potentiel



Découvrez le site de Nantes.


𝐂𝐞 𝐪𝐮𝐞 𝐧𝐨𝐮𝐬 𝐟𝐚𝐢𝐬𝐨𝐧𝐬 𝐩𝐨𝐮𝐫 𝐟𝐚𝐜𝐢𝐥𝐢𝐭𝐞𝐫 𝐭𝐚 𝐯𝐢𝐞 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐧𝐞𝐥𝐥𝐞 𝐞𝐭 𝐩𝐞𝐫𝐬𝐨𝐧𝐧𝐞𝐥𝐥𝐞 :


Nous te proposons :

🚀 De participer à l’évolution de CA-TS en matière de performance, de technologie et de responsabilité sociétale : participation aux projets d’entreprise, développement de la fabrication responsable, contribution à la diminution de notre empreinte carbone.


👥De rejoindre CATECHS : LA communauté des techs de CA-TS. Et y retrouver des Techtalks, des sérious games, du Mob Programming, de la veille techno…


👨‍💻 De prendre part à des projets agiles complexes et innovants, de bout en bout : volumétrie clients importante, diversité technologique et métier, relation étroite avec tous nos clients (Conseillers bancaires en Caisses Régionales, clients du Crédit Agricole)


🏦 D’évoluer dans un environnement alliant modernité (espaces agiles et de créativité, télétravail) et prônant la Qualité de Vie au Travail (équilibre vie professionnelle/vie personnelle, avantages parentalité, forfait mobilité durable)



👫 De faire partie d’une entreprise motrice sur la diversité et l’égalité (94/100 sur l’index égalité Femmes / Hommes qui évalue la politique en matière d’égalité salariale et promotion entre femmes et hommes.)


🌿 De rejoindre une entreprise labélisée numérique responsable qui participe aux enjeux de sobriété et d’inclusion numérique (par exemple l’écoconception et l’accessibilité numérique) qui sont au cœur de la fabrication


🧠 De continuer à développer tes compétences et connaissances, à être accompagné∙e ou accompagner à ton tour (formations, intégration, mentoring, mobilité interne, actions marque employeur)


⭐ De faire évoluer ta carrière professionnelle et t’investir durablement (mobilités interne et groupe).



𝐓𝐨𝐮𝐭 𝐜̧𝐚, 𝐞𝐧 𝐭𝐞 𝐩𝐞𝐫𝐦𝐞𝐭𝐭𝐚𝐧𝐭 :


💻 D’être cadre au forfait en ayant de la flexibilité sur la gestion du temps de travail, tu pourras travailler à distance 2 jours par semaine.


🏖 De disposer, en moyenne chaque année, de 46 jours de congés, et un compte épargne temps pour vous reposer et faire ce que vous aimez chaque année.


👪 D’avoir la possibilité de recevoir un intéressement important en lien avec les résultats de CATS.


🚎🌿 D’avoir un remboursement à hauteur de 75% de tes transports en commun / une Prime mobilité verte de 500 euros par an.


💳 D’avoir accès à un restaurant d’entreprise, aux avantages bancaires et assurances du Groupe CA, un CSE compétitif ainsi que d’une excellente couverture santé pour prendre soin de vous et de votre famille.


💟 De participer au programme de l’arrondi sur salaire au bénéfice d’associations...


𝐀̀ 𝐪𝐮𝐨𝐢 𝐫𝐞𝐬𝐬𝐞𝐦𝐛𝐥𝐞𝐫𝐚 𝐭𝐨𝐧 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐮𝐬 𝐝𝐞 𝐫𝐞𝐜𝐫𝐮𝐭𝐞𝐦𝐞𝐧𝐭 ?


- Un premier échange avec ton Talent Acquisition Specialist Linda - 1h

- Un second échange avec un ou une de nos expert.es - 1h

- Un échange avec Jean-François, ton futur Leader ! - 1h


« 𝑃𝑎𝑟𝑐𝑒 𝑞𝑢𝑒 𝑙𝑒 ℎ𝑎𝑛𝑑𝑖𝑐𝑎𝑝 𝑛𝑒 𝑑𝑜𝑖𝑡 𝑝𝑙𝑢𝑠 𝑒̂𝑡𝑟𝑒 𝑢𝑛 ℎ𝑎𝑛𝑑𝑖𝑐𝑎𝑝 𝑒𝑛 𝑒𝑛𝑡𝑟𝑒𝑝𝑟𝑖𝑠𝑒, 𝑛𝑜𝑢𝑠, 𝐶𝑟𝑒́𝑑𝑖𝑡 𝐴𝑔𝑟𝑖𝑐𝑜𝑙𝑒 𝑇𝑒𝑐ℎ𝑛𝑜𝑙𝑜𝑔𝑖𝑒𝑠 𝑒𝑡 𝑆𝑒𝑟𝑣𝑖𝑐𝑒𝑠, 𝑎𝑣𝑜𝑛𝑠 𝑜𝑢𝑣𝑒𝑟𝑡 𝑛𝑜𝑠 𝑚𝑒́𝑡𝑖𝑒𝑟𝑠 𝑎̀ 𝑡𝑜𝑢𝑠 𝑙𝑒𝑠 𝑡𝑎𝑙𝑒𝑛𝑡𝑠, 𝑠𝑎𝑛𝑠 𝑒𝑥𝑐𝑒𝑝𝑡𝑖𝑜𝑛.»

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",2024-07-25,[] +3993927108,https://fr.linkedin.com/jobs/view/data-analyst-en-alternance-at-akademija-oxford-3993927108?position=25&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=oyVvQufUy2xs62T%2B%2FhtYtg%3D%3D&trk=public_jobs_jserp-result_search-card,DATA ANALYST EN ALTERNANCE,Akademija Oxford,"Ille-et-Vilaine, Brittany, France","Vous avez envie d’intégrer une école à taille humaine ? Vous êtes intéressé.es par l’analyse et le traitement des données ? Sup de Vinci propose une formation complète, en bachelor Big Data. + +L’école Sup de Vinci, Rennes, accompagne l’une de ses entreprises partenaires dans son projet de recrutement d’un profil Big Data en alternance pour la rentrée de Septembre 2021. +Show more ","
+ + + + + +
+
+ Vous avez envie d’intégrer une école à taille humaine ? Vous êtes intéressé.es par l’analyse et le traitement des données ? Sup de Vinci propose une formation complète, en bachelor Big Data.

L’école Sup de Vinci, Rennes, accompagne l’une de ses entreprises partenaires dans son projet de recrutement d’un profil Big Data en alternance pour la rentrée de Septembre 2021. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3994730909,https://fr.linkedin.com/jobs/view/data-analyst-at-acolad-group-3994730909?position=29&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=HPENxqQhBBxyDnDkWIp6fw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Acolad group,"Boulogne-Billancourt, Île-de-France, France","Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world. + +At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed. + +Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world's leading brands. + +We are seeking a motivated and detail-oriented Entry-Level Data Analyst to join our team. The ideal candidate will be passionate about data, possess strong analytical skills, and be eager to solve complex problems. As a Data Analyst, you will work closely with business partners across various departments to support data-driven decision-making. This role offers a great opportunity to work on a wide range of subjects, always in a hands-on capacity. + +Key Responsibilities: + +Analyze data provided by data engineers to support business operations and decision-making. +Develop and maintain reports using Tableau and manage them in Tableau Cloud to provide insights to business partners. +Write complex SQL queries to extract and manipulate data from databases. +Utilize Python for data analysis and/or automation. +Collaborate with cross-functional teams to understand their data needs and provide actionable insights. +Present findings and recommendations to stakeholders in a clear and concise manner. +Continuously seek to improve processes and data quality. +Stay curious and proactive in identifying new opportunities and challenges within the data. + + + +Requirements + + +Master's degree in Data Science, Analytics, Computer Science, or a related data-focused field. +Fluency in English is required. +Proficiency in SQL for data extraction and manipulation. +Experience with Tableau (or equivalent) for data visualization and management in Tableau Cloud (or equivalent). +Strong knowledge of Python for data analysis and scripting. +Excellent analytical and problem-solving skills. +Strong attention to detail and a commitment to data accuracy. +Effective communication skills, with the ability to explain complex concepts to non-technical stakeholders. +Curiosity and eagerness to tackle new challenges. + +Preferred Qualifications: + +Internship or academic project experience in data analysis or a related field is a plus. +Knowledge of data warehousing concepts and tools is advantageous. +Experience working with large datasets is a plus. + + + +Benefits + + +Competitive salary and performance-based bonuses +Work in an international and multi-cultural environment +Up to 2 days remote per week + +Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms - gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation - enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds. + +Show more ","
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+
+

Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world.

At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed.

Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world's leading brands.

We are seeking a motivated and detail-oriented Entry-Level Data Analyst to join our team. The ideal candidate will be passionate about data, possess strong analytical skills, and be eager to solve complex problems. As a Data Analyst, you will work closely with business partners across various departments to support data-driven decision-making. This role offers a great opportunity to work on a wide range of subjects, always in a hands-on capacity.

Key Responsibilities:

  • Analyze data provided by data engineers to support business operations and decision-making.
  • Develop and maintain reports using Tableau and manage them in Tableau Cloud to provide insights to business partners.
  • Write complex SQL queries to extract and manipulate data from databases.
  • Utilize Python for data analysis and/or automation.
  • Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Continuously seek to improve processes and data quality.
  • Stay curious and proactive in identifying new opportunities and challenges within the data.


Requirements

  • Master's degree in Data Science, Analytics, Computer Science, or a related data-focused field.
  • Fluency in English is required.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Tableau (or equivalent) for data visualization and management in Tableau Cloud (or equivalent).
  • Strong knowledge of Python for data analysis and scripting.
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and a commitment to data accuracy.
  • Effective communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Curiosity and eagerness to tackle new challenges.

Preferred Qualifications:

  • Internship or academic project experience in data analysis or a related field is a plus.
  • Knowledge of data warehousing concepts and tools is advantageous.
  • Experience working with large datasets is a plus.


Benefits

  • Competitive salary and performance-based bonuses
  • Work in an international and multi-cultural environment
  • Up to 2 days remote per week

Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms - gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation - enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds.

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",2024-08-06,[] +3989120951,https://pl.linkedin.com/jobs/view/associate-data-analyst-at-sphera-3989120951?position=31&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=focElZ7U1NpFwPa7HiSWug%3D%3D&trk=public_jobs_jserp-result_search-card,Associate Data Analyst,Sphera,Poland,"Responsibilities + + + + +Supporting onboarding activities for our customers, case management and case handling +Resolving customer data related cases (checking data, correcting data, validating data, preparing reports, importing data etc.) +Aligning internally on customer questions with the other team and company colleagues +Generating reports from SQL databases and creating queries +Preparing dashboards for customers and for internal purposes +Working with data maintenance, including importing, extracting, correcting and validating data +Recognizing and adopting best practices in reporting and analysis: data integrity, analysis, validation, and documentation +In-depth working with multiple source data, including extraction, manipulation and modelling + + + + +Requirements + + + + +Working experience in data extraction, manipulation, modelling and reporting – minimum 2 years +Excellent Excel skills +Advanced SQL skills +Good Power Query skills +Experience creating data models, projections, pivot tables from multiple source data +Strong spoken and written English + +Show more ","
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+
+

Responsibilities


  • Supporting onboarding activities for our customers, case management and case handling
  • Resolving customer data related cases (checking data, correcting data, validating data, preparing reports, importing data etc.)
  • Aligning internally on customer questions with the other team and company colleagues
  • Generating reports from SQL databases and creating queries
  • Preparing dashboards for customers and for internal purposes
  • Working with data maintenance, including importing, extracting, correcting and validating data
  • Recognizing and adopting best practices in reporting and analysis: data integrity, analysis, validation, and documentation
  • In-depth working with multiple source data, including extraction, manipulation and modelling


Requirements


  • Working experience in data extraction, manipulation, modelling and reporting – minimum 2 years
  • Excellent Excel skills
  • Advanced SQL skills
  • Good Power Query skills
  • Experience creating data models, projections, pivot tables from multiple source data
  • Strong spoken and written English

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",2024-08-02,[] +3991303451,https://es.linkedin.com/jobs/view/data-analyst-controlling-at-mango-3991303451?position=32&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=OIeUMCC%2F95SdPWtqjI5clw%3D%3D&trk=public_jobs_jserp-result_search-card,DATA ANALYST - CONTROLLING,MANGO,"Palau-solità i Plegamans, Catalonia, Spain","En Mango inspiramos y unimos mediante nuestra pasión por el estilo y la cultura. Estamos en más de 115 países y nuestra presencia online se extiende a más de 110 países. Nuestro equipo está formado por personas de 112 nacionalidades y en un 78% por mujeres. + +Buscamos un/a + +DATA ANALYST - CONTROLLING + +¿CÓMO SERIA TU DÍA A DÍA EN MANGO? + +Para formar parte de nuestro equipo de Reporting dentro del departamento de Control de gestión buscamos un/a Data Analyst. + +Participarás en proyectos con el objetivo de simplificar el acceso a la información, generar valor con los datos y capacitar a los usuarios de herramientas para acelerar la toma de decisiones. + +Funciones + + +Participarás en proyectos con el objetivo de simplificar el acceso a la información, generar valor con los datos y capacitar a los usuarios de herramientas para acelerar la toma de decisiones +Crearás una red de contactos multidisciplinares en la organización para garantizar el éxito de los proyectos +Darás soporte en la elaboración y análisis del reporting mensual financiero +Darás soporte en la creación y mantenimiento de dashboards en diferentes herramientas de BI: Looker, PowerBI y SAP BO +Liderarás la automatización y simplificación del reporting mensual financiero a través de PowerBI +Realizarás análisis complejos para permitir la toma de decisiones basada en datos +Sintetizarás los datos procedentes de múltiples fuentes y desarrollar hipótesis +Proporcionarás ideas clave, recomendaciones y presentarlas a los diferentes interlocutores + + +¿QUÉ ESPERAMOS DE TI? + + +Master en Ingeniería, ADE, Estadística o Matemáticas +Experiencia mínima de 1-2 años en Análisis de datos, consultoría de BI o consultoría de negocio +Conocimientos en SQL, herramientas de BI y lenguajes de programación +Dominio de Excel +Buscamos personas con Learning Agility, influyentes, analíticas, rigurosas, con buenas dotes de comunicación, capacidad resolutiva y altamente orientada a cliente interno & negocio +Orientación a negocio y mentalidad resolutiva: capacidad de analizar, interpretar, sintetizar y comunicar impactos y tendencias a través de los datos + + +¿QUÉ NOS HACE ESPECIALES? + + +Horario Flexible (entrada de 8h a 9h30 y salida de 17h a 18h30), jornada intensiva los viernes (de 8h a 9h hasta las 14h / 15h) y mayoría de vigilias de festivos +Posibilidad de Teletrabajo +Descuento en todas nuestras líneas (Woman, Man, Kids, Teen & Home) además de un Market de muestrario para renovar tu armario dos veces al año +Servicio de comedor y cocina en las instalaciones de central. La empresa subvenciona parte del menú diario, así como los artículos de cafetería +Retribución flexible con ventajas fiscales: seguro médico, formación, descuento comedor, guarderías etc. +Transporte gratuito de empresa desde Barcelona y el Vallés +Oportunidades constantes de desarrollo con retos muy variados que generan aprendizaje en el puesto de trabajo y cursos específicos en función de tus necesidades +Workshops, meetups, comunidades de prácticas, team buildings y company meetings sobre transformación digital, moda y actividades de nuestros equipos +Servicio médico propio, servicio de fisioterapia una vez a la semana, sala de fitness y vestuarios en nuestras oficinas centrales +Formarás parte de una empresa líder en el sector de la moda, dinámica, en plena innovación, con gran concienciación y realizando acciones hacia la sostenibilidad con un ambiente de trabajo cercano, inspirador y ambicioso + + +You got it? + +We like you! +Show more ","
+ + + + + +
+
+ En Mango inspiramos y unimos mediante nuestra pasión por el estilo y la cultura. Estamos en más de 115 países y nuestra presencia online se extiende a más de 110 países. Nuestro equipo está formado por personas de 112 nacionalidades y en un 78% por mujeres.

Buscamos un/a

DATA ANALYST - CONTROLLING

¿CÓMO SERIA TU DÍA A DÍA EN MANGO?

Para formar parte de nuestro equipo de Reporting dentro del departamento de Control de gestión buscamos un/a Data Analyst.

Participarás en proyectos con el objetivo de simplificar el acceso a la información, generar valor con los datos y capacitar a los usuarios de herramientas para acelerar la toma de decisiones.

Funciones

  • Participarás en proyectos con el objetivo de simplificar el acceso a la información, generar valor con los datos y capacitar a los usuarios de herramientas para acelerar la toma de decisiones
  • Crearás una red de contactos multidisciplinares en la organización para garantizar el éxito de los proyectos
  • Darás soporte en la elaboración y análisis del reporting mensual financiero
  • Darás soporte en la creación y mantenimiento de dashboards en diferentes herramientas de BI: Looker, PowerBI y SAP BO
  • Liderarás la automatización y simplificación del reporting mensual financiero a través de PowerBI
  • Realizarás análisis complejos para permitir la toma de decisiones basada en datos
  • Sintetizarás los datos procedentes de múltiples fuentes y desarrollar hipótesis
  • Proporcionarás ideas clave, recomendaciones y presentarlas a los diferentes interlocutores

¿QUÉ ESPERAMOS DE TI?

  • Master en Ingeniería, ADE, Estadística o Matemáticas
  • Experiencia mínima de 1-2 años en Análisis de datos, consultoría de BI o consultoría de negocio
  • Conocimientos en SQL, herramientas de BI y lenguajes de programación
  • Dominio de Excel
  • Buscamos personas con Learning Agility, influyentes, analíticas, rigurosas, con buenas dotes de comunicación, capacidad resolutiva y altamente orientada a cliente interno & negocio
  • Orientación a negocio y mentalidad resolutiva: capacidad de analizar, interpretar, sintetizar y comunicar impactos y tendencias a través de los datos

¿QUÉ NOS HACE ESPECIALES?

  • Horario Flexible (entrada de 8h a 9h30 y salida de 17h a 18h30), jornada intensiva los viernes (de 8h a 9h hasta las 14h / 15h) y mayoría de vigilias de festivos
  • Posibilidad de Teletrabajo
  • Descuento en todas nuestras líneas (Woman, Man, Kids, Teen & Home) además de un Market de muestrario para renovar tu armario dos veces al año
  • Servicio de comedor y cocina en las instalaciones de central. La empresa subvenciona parte del menú diario, así como los artículos de cafetería
  • Retribución flexible con ventajas fiscales: seguro médico, formación, descuento comedor, guarderías etc.
  • Transporte gratuito de empresa desde Barcelona y el Vallés
  • Oportunidades constantes de desarrollo con retos muy variados que generan aprendizaje en el puesto de trabajo y cursos específicos en función de tus necesidades
  • Workshops, meetups, comunidades de prácticas, team buildings y company meetings sobre transformación digital, moda y actividades de nuestros equipos
  • Servicio médico propio, servicio de fisioterapia una vez a la semana, sala de fitness y vestuarios en nuestras oficinas centrales
  • Formarás parte de una empresa líder en el sector de la moda, dinámica, en plena innovación, con gran concienciación y realizando acciones hacia la sostenibilidad con un ambiente de trabajo cercano, inspirador y ambicioso

You got it?

We like you! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3995246313,https://lv.linkedin.com/jobs/view/business-data-analyst-at-xpate-3995246313?position=34&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=XGntgb6qCYelZS9W0icgwg%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,xpate,"Riga, Riga, Latvia","At xpate we're a small, agile team dedicated to simplifying and enhancing the way merchants and consumers connect globally. We are the Cashflow Champions that enable companies to accelerate their growth. As a startup, every member of our team plays a critical role in shaping our journey and success and today we are looking for a Business Data Analyst. + +Responsibilities: + + +Contribute to the development and refinement of the pricing engine to support dynamic pricing strategies and improve profitability +Continuously evaluate and improve financial systems to support operational excellence and business growth +Develop financial models, conduct benchmarking, and analyze processes to identify cost-reduction opportunities and improve profitability +Collaborate with cross-functional teams to understand business drivers, provide data-backed insights, and support informed decision-making +Automate and enhance analytics by setting up ETL processes, building and improving dashboards in BI tools +Gather and refine business requirements, translating them into detailed technical tasks, and communicate with the IT team for implementation + + +Qualifications: + + +Strong experience in writing queries in SQL +Proven work experience as a Data Analyst or in a similar role, with expertise in building content using BI tools (e.g., Tableau, Power BI) +Experience in the payment industry or education in a related field would be an advantage +An understanding of accounting principles, along with the ability to demonstrate creative thinking and a passion for data, data analysis is a plus +Strong attention to detail and thoroughness in work +Willingness to acquire additional technical skills to enhance work efficiency +Fluent communication in English, both verbally and in writing +Hands-on experience with AI technologies or a passion for exploring AI tools will give you a significant edge + + +What's in it for you: + + +A dynamic, ambitious work environment that values innovation, performance, and quality +A competitive monthly gross compensation package starting at 3500 EUR (depending on your experience and competencies) +Supportive and caring leadership +Stack of work equipment from Apple as our hardware of choice +Extra 3 paid days off per quarter for personal time & sick days to boost productivity +Birthday off. You can take this day off on your birthday (of course) or on any other day on your birthday month +A modern, fully equipped office in the Riga city center with an in-house canteen, chill area, drink, snack bar for refreshing breaks at work +Private health insurance +Flexible working hours and a hybrid work model +Corporate events and fun activities + + +We've got more benefits in the pipeline, as we are just beginning. + +You will get a high degree of collaboration and autonomy while working with a group of peers who have getting things done attitude. If you want to get a feeling of being valued at work and the opportunity to leave a footprint on an exciting fintech product that brings value to its customers, feel free to join the xpate team! + +Powered by JazzHR + +Jj24BFeOss +Show more ","
+ + + + + +
+
+ At xpate we're a small, agile team dedicated to simplifying and enhancing the way merchants and consumers connect globally. We are the Cashflow Champions that enable companies to accelerate their growth. As a startup, every member of our team plays a critical role in shaping our journey and success and today we are looking for a Business Data Analyst.

Responsibilities:

  • Contribute to the development and refinement of the pricing engine to support dynamic pricing strategies and improve profitability
  • Continuously evaluate and improve financial systems to support operational excellence and business growth
  • Develop financial models, conduct benchmarking, and analyze processes to identify cost-reduction opportunities and improve profitability
  • Collaborate with cross-functional teams to understand business drivers, provide data-backed insights, and support informed decision-making
  • Automate and enhance analytics by setting up ETL processes, building and improving dashboards in BI tools
  • Gather and refine business requirements, translating them into detailed technical tasks, and communicate with the IT team for implementation

Qualifications:

  • Strong experience in writing queries in SQL
  • Proven work experience as a Data Analyst or in a similar role, with expertise in building content using BI tools (e.g., Tableau, Power BI)
  • Experience in the payment industry or education in a related field would be an advantage
  • An understanding of accounting principles, along with the ability to demonstrate creative thinking and a passion for data, data analysis is a plus
  • Strong attention to detail and thoroughness in work
  • Willingness to acquire additional technical skills to enhance work efficiency
  • Fluent communication in English, both verbally and in writing
  • Hands-on experience with AI technologies or a passion for exploring AI tools will give you a significant edge

What's in it for you:

  • A dynamic, ambitious work environment that values innovation, performance, and quality
  • A competitive monthly gross compensation package starting at 3500 EUR (depending on your experience and competencies)
  • Supportive and caring leadership
  • Stack of work equipment from Apple as our hardware of choice
  • Extra 3 paid days off per quarter for personal time & sick days to boost productivity
  • Birthday off. You can take this day off on your birthday (of course) or on any other day on your birthday month
  • A modern, fully equipped office in the Riga city center with an in-house canteen, chill area, drink, snack bar for refreshing breaks at work
  • Private health insurance
  • Flexible working hours and a hybrid work model
  • Corporate events and fun activities

We've got more benefits in the pipeline, as we are just beginning.

You will get a high degree of collaboration and autonomy while working with a group of peers who have getting things done attitude. If you want to get a feeling of being valued at work and the opportunity to leave a footprint on an exciting fintech product that brings value to its customers, feel free to join the xpate team!

Powered by JazzHR

Jj24BFeOss +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3988978617,https://nl.linkedin.com/jobs/view/data-analyst-at-doghouse-recruitment-3988978617?position=37&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=e9%2Bgo3L5I7ov4JCjlzhDKw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Doghouse Recruitment,"Amsterdam, North Holland, Netherlands","Data Analyst-Betting Company- SaaS- Hybrid- Amsterdam- 65k + + + + +My client is the premier destination for sports betting and the ultimate online (live) casino experience in the Netherlands. As pioneers in the industry, they are committed to reshaping entertainment while maintaining responsible gambling. Their goal is to create an environment where players can enjoy themselves responsibly without losing control. + + + + +An exciting opportunity awaits a Data Analyst to have a significant impact on attracting more consumers through campaigns in an Amsterdam-based online betting company. Collaborate closely with the Head of Data Analytics, who is enthusiastic about sharing knowledge with you. + + + + +In this role, you will be responsible for analyzing dashboards and data to understand where the customers are coming from and how to retain them. The IT infrastructure is state-of-the-art, utilizing all that Google has to offer, including Google Analytics, cloud resources, and data warehousing. Your responsibilities include analyzing, building, and automating new solutions. + + + + +Requirements: + +3+ years of experience in data analysis (SQL & Python) +Strong analytical mindset +Good communication skills and stakeholder management +Preferably experience working in a B2C environment + + + + +Benefits + +Salary up to €65k +Travel allowance +27 vacation days +Hybrid work environment +Flat organizational structure +Social drinks and lunch events + + + + +Interested? Contact me via glenn@doghouse-recruitment.nl + + + + +Unfortunately, No Visa Sponsorship / Client is not IND registered yet + +Show more ","
+ + + + + +
+
+

Data Analyst-Betting Company- SaaS- Hybrid- Amsterdam- 65k


My client is the premier destination for sports betting and the ultimate online (live) casino experience in the Netherlands. As pioneers in the industry, they are committed to reshaping entertainment while maintaining responsible gambling. Their goal is to create an environment where players can enjoy themselves responsibly without losing control.


An exciting opportunity awaits a Data Analyst to have a significant impact on attracting more consumers through campaigns in an Amsterdam-based online betting company. Collaborate closely with the Head of Data Analytics, who is enthusiastic about sharing knowledge with you.


In this role, you will be responsible for analyzing dashboards and data to understand where the customers are coming from and how to retain them. The IT infrastructure is state-of-the-art, utilizing all that Google has to offer, including Google Analytics, cloud resources, and data warehousing. Your responsibilities include analyzing, building, and automating new solutions.


Requirements:

  • 3+ years of experience in data analysis (SQL & Python)
  • Strong analytical mindset
  • Good communication skills and stakeholder management
  • Preferably experience working in a B2C environment


Benefits

  • Salary up to €65k
  • Travel allowance
  • 27 vacation days
  • Hybrid work environment
  • Flat organizational structure
  • Social drinks and lunch events


Interested? Contact me via glenn@doghouse-recruitment.nl


Unfortunately, No Visa Sponsorship / Client is not IND registered yet

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3984638685,https://pt.linkedin.com/jobs/view/bi-data-analyst-at-multivision-consulting-3984638685?position=39&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=jiSyWoqeAXk9HS%2BOXNuyBA%3D%3D&trk=public_jobs_jserp-result_search-card,BI Data Analyst,Multivision Consulting,"Lisbon, Lisbon, Portugal","Lisbon. 100% On-site position + + + + +(NOTE: all certificates must be attached to the application in order to be consider) + + + + +The BI Business Analyst will integrate our Quality Department and play a key role in analysing data and generating actionable insights to drive organisational decision-making. + + + + +Responsibilities + +Collaborate closely with business stakeholders to identify their data needs and define clear analytics objectives that support business goals. +Design, develop, and maintain scalable analytics frameworks, leveraging SQL and Power BI to extract, transform, and analyse datasets. +Create compelling, clear, concise reports and dashboards using Power BI, ensuring business users can easily understand and act upon the insights provided. +Conduct data validation and error-checking processes to guarantee the reliability and accuracy of analytics outputs, thereby upholding the trust in data-driven decision-making. +Identify trends, patterns, and correlations in the data to provide actionable insights that guide business strategies and decision-making. +Collaborate with cross-functional teams to understand data analysis needs and provide guidance on how best to use data to achieve objectives. +Keeping up to date with emerging trends and technologies in BI and data analysis and continually looking for ways to improve the organisation's data analysis processes and practices. + + + + +Requirements + +Bachelor’s or master’s degree in Business Management, Computer Science, Information Technology, Data Analysis or related fields. ++1 year of experience in Power BI for developing reports, dashboards, and data visualizations. +Previous experience in data analysis, preferably in a corporate environment. +Strong analytical skills and the ability to translate complex data into actionable insights. +Excellent verbal and written communication skills, with the ability to present analysis results clearly and understandably. +Ability to work independently and as part of a team, with a strong focus on results. +Fluency in English and Portuguese (written and spoken). + + + + +We Offer: + +Attractive salary package; +Vibrant culture, in a company that is actively involved in social responsibility; +Integration in a dynamic, passionate and enthusiastic team; +Equal opportunity mindset and encouragement to be innovative; +Personal and professional development; +Contact to a demanding industry with challenging projects; +Company-sponsored events, parties and concerts; + + + + +Enjoy the unique experience of working at MULTIVISION! If you are interested in this role, please send us your CV and certificates (mandatory) motivation letter. + + + + + + + +MULTIVISION is proud to be an equal opportunity employer and workplace. We value diversity at our company regardless of race, color, ancestry, national origin, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status or disability status. + +Show more ","
+ + + + + +
+
+

Lisbon. 100% On-site position


(NOTE: all certificates must be attached to the application in order to be consider)


The BI Business Analyst will integrate our Quality Department and play a key role in analysing data and generating actionable insights to drive organisational decision-making.


Responsibilities

  • Collaborate closely with business stakeholders to identify their data needs and define clear analytics objectives that support business goals.
  • Design, develop, and maintain scalable analytics frameworks, leveraging SQL and Power BI to extract, transform, and analyse datasets.
  • Create compelling, clear, concise reports and dashboards using Power BI, ensuring business users can easily understand and act upon the insights provided.
  • Conduct data validation and error-checking processes to guarantee the reliability and accuracy of analytics outputs, thereby upholding the trust in data-driven decision-making.
  • Identify trends, patterns, and correlations in the data to provide actionable insights that guide business strategies and decision-making.
  • Collaborate with cross-functional teams to understand data analysis needs and provide guidance on how best to use data to achieve objectives.
  • Keeping up to date with emerging trends and technologies in BI and data analysis and continually looking for ways to improve the organisation's data analysis processes and practices.


Requirements

  • Bachelor’s or master’s degree in Business Management, Computer Science, Information Technology, Data Analysis or related fields.
  • +1 year of experience in Power BI for developing reports, dashboards, and data visualizations.
  • Previous experience in data analysis, preferably in a corporate environment.
  • Strong analytical skills and the ability to translate complex data into actionable insights.
  • Excellent verbal and written communication skills, with the ability to present analysis results clearly and understandably.
  • Ability to work independently and as part of a team, with a strong focus on results.
  • Fluency in English and Portuguese (written and spoken).


We Offer:

  • Attractive salary package;
  • Vibrant culture, in a company that is actively involved in social responsibility;
  • Integration in a dynamic, passionate and enthusiastic team;
  • Equal opportunity mindset and encouragement to be innovative;
  • Personal and professional development;
  • Contact to a demanding industry with challenging projects;
  • Company-sponsored events, parties and concerts;


Enjoy the unique experience of working at MULTIVISION! If you are interested in this role, please send us your CV and certificates (mandatory) motivation letter.



MULTIVISION is proud to be an equal opportunity employer and workplace. We value diversity at our company regardless of race, color, ancestry, national origin, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status or disability status.

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+ +
",2024-07-25,[] +3985277487,https://es.linkedin.com/jobs/view/data-analyst-power-bi-at-knowmad-mood-3985277487?position=43&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=2P%2F5ZiA8Knd01EyfBcHs8A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst (Power BI),knowmad mood,Spain,"¡knowmad mood, anteriormente atSistemas! + + + + +Si eres un apasionado/a del mundo del dato y estás en busca de un reto profesional, ¡esta oferta es para ti! + + + + +En estos momentos estamos buscando incorporar al equipo un/a data analyst con experiencia en: + + + + +Experiencia de al menos 3 años en la elaboración de Dashboards e informes en PowerBI. +Formación, conocimiento y/o experiencia con PowerApps. +Modelado de datos en estrella. + + + + +¿Cuáles serán tus funciones? + + + + +Creación de informes +Replicar informes ya existentes +Modelado de datos. +Realizar pruebas a los sets de datos para revisar posibles errores. + + + + +¿Desde dónde trabajarás? + + + + +100% remoto. + + + + +knowmad mood life experience + + + + +knowmad mood es una compañía donde nos preocupamos por tu persona, tu felicidad, tu bienestar y tu salud. + +Apostamos por la formación y el desarrollo de carrera. +Cultura human centric. +Potenciamos engagement y la escucha activa con las personas. +Nos preocupamos por la felicidad y el bienestar de las personas. + +Work mood: + +Vacaciones: Descansa para volver con más fuerza + +22 días de vacaciones + 2 días de libre disposición + 24 y 31 de diciembre. + +Our mood: + +Ofrecemos una nueva forma de trabajar más flexible + +Flex work: favorecemos una jornada diaria flexible para que tú decidas a tu ritmo cuándo empieza tu vida personal y cuando termina tu jornada laboral. +Smart working: lo importante es que tú estés bien, tu desarrollo, y la orientación a resultados, no si vienes a la oficina.​ Por eso no hace falta ni que tengas la oficina cerca, mientras tengas una buena conexión, todo es posible. +Beneficios y ventajas: destina parte de tu salario a determinados productos como tarjeta de transporte, tarjeta restaurante, cheques guardería, seguro médico o formación.​ Además disfruta en nuestra plataforma interna de todos los descuentos exclusivos para tu vida fuera de la compañía. + + + + +knowmad mood nos encargamos de cuidar a nuestras personas y es un lugar fantástico en el que trabajar, convivir y desarrollarte. + +Nos gusta escucharte: encuesta de felicidad, línea directa CEO, evaluación 360º +Cuidamos tu bienestar: a través de nuestro programa de bienestar integral centrado en: actividad física, nutrición saludable y equilibrio emocional.​ +Y de tu vida: programa de conciliación 24 horas al día y 365 días del año para ti, tu pareja y tu familia: Consultas legales, asistente personal, plan dental, consulta veterinaria, gestor administrativa +Hacemos equipo: compartimos momentos de diversión, porque sabemos lo importante que es dedicar espacios donde conectar y reírnos más allá de los proyectos y equipos con nuestras actividades de team building:videojuegos online, scape room, ajedrez, etc +Nos gusta juntarnos: celebramos el verano y nos reencontramos en nuestra Santa´s Summer Party. + + + + +Si tienes cualquier duda o quieres ampliar la información, no dudes en contactar con cualquiera de los compañeros de People & Talent. + +Show more ","
+ + + + + +
+
+

¡knowmad mood, anteriormente atSistemas!


Si eres un apasionado/a del mundo del dato y estás en busca de un reto profesional, ¡esta oferta es para ti!


En estos momentos estamos buscando incorporar al equipo un/a data analyst con experiencia en:


  • Experiencia de al menos 3 años en la elaboración de Dashboards e informes en PowerBI.
  • Formación, conocimiento y/o experiencia con PowerApps.
  • Modelado de datos en estrella.


¿Cuáles serán tus funciones?


  • Creación de informes
  • Replicar informes ya existentes
  • Modelado de datos.
  • Realizar pruebas a los sets de datos para revisar posibles errores.


¿Desde dónde trabajarás?


100% remoto.


knowmad mood life experience


knowmad mood es una compañía donde nos preocupamos por tu persona, tu felicidad, tu bienestar y tu salud.

  • Apostamos por la formación y el desarrollo de carrera.
  • Cultura human centric.
  • Potenciamos engagement y la escucha activa con las personas.
  • Nos preocupamos por la felicidad y el bienestar de las personas.

Work mood:

  • Vacaciones: Descansa para volver con más fuerza

22 días de vacaciones + 2 días de libre disposición + 24 y 31 de diciembre.

Our mood:

Ofrecemos una nueva forma de trabajar más flexible

  • Flex work: favorecemos una jornada diaria flexible para que tú decidas a tu ritmo cuándo empieza tu vida personal y cuando termina tu jornada laboral.
  • Smart working: lo importante es que tú estés bien, tu desarrollo, y la orientación a resultados, no si vienes a la oficina.​ Por eso no hace falta ni que tengas la oficina cerca, mientras tengas una buena conexión, todo es posible.
  • Beneficios y ventajas: destina parte de tu salario a determinados productos como tarjeta de transporte, tarjeta restaurante, cheques guardería, seguro médico o formación.​ Además disfruta en nuestra plataforma interna de todos los descuentos exclusivos para tu vida fuera de la compañía.


knowmad mood nos encargamos de cuidar a nuestras personas y es un lugar fantástico en el que trabajar, convivir y desarrollarte.

  • Nos gusta escucharte: encuesta de felicidad, línea directa CEO, evaluación 360º
  • Cuidamos tu bienestar: a través de nuestro programa de bienestar integral centrado en: actividad física, nutrición saludable y equilibrio emocional.​
  • Y de tu vida: programa de conciliación 24 horas al día y 365 días del año para ti, tu pareja y tu familia: Consultas legales, asistente personal, plan dental, consulta veterinaria, gestor administrativa
  • Hacemos equipo: compartimos momentos de diversión, porque sabemos lo importante que es dedicar espacios donde conectar y reírnos más allá de los proyectos y equipos con nuestras actividades de team building:videojuegos online, scape room, ajedrez, etc
  • Nos gusta juntarnos: celebramos el verano y nos reencontramos en nuestra Santa´s Summer Party.


Si tienes cualquier duda o quieres ampliar la información, no dudes en contactar con cualquiera de los compañeros de People & Talent.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3991645505,https://nl.linkedin.com/jobs/view/data-analyst-at-yolk-recruitment-ltd-3991645505?position=44&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=f%2Fn%2FJlb%2FAN%2BUh1vQsSBVNg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Yolk Recruitment Ltd,"Rotterdam, South Holland, Netherlands","Data Analyst – Rotterdam, Netherlands – 7 months (extensions likely) – Rate: up to €5,792 – one stage interview - Sector: Energy + + + + + + + +Yolk recruitment is recruiting for a Data Analyst to work with a global energy giant to create reports and provide insights into their portfolio. You will analyse how much capacity has been deployed and provide insight into the phase projects are in. Furthermore, the tasks include providing an overview of data processes and thinking along in uniformity for the Portfolio Managers. + + + + +Closing date for submission is the 8th of August + + + + + + + +Responsibilities: + +The Portfolio Management Department is a new department within the Business Project unit. Within this unit, you provide the right data, independently make analyses and solve it by switching with the business. Your reports are needed, among other things, to match supply and demand. We use Sales & Operations Planning (S&OP) for this. + +The company uses Power BI to create reports. The task of building these reports lies with the colleagues of the Analysis and Reporting Team, with whom you will work regularly. It is useful for this if you are familiar with Power BI and can understand the data models. Together with your environment, you can fine-tune which analysis tool you will use yourself. + + + + +Experience Required: + + + + +You have completed a university education or have completed a college education and can demonstrably think conceptually. + +You have at least 3-5 years of relevant work experience. + +You have experience in projects where you have had to work together with different organizational units and with different management levels. + + + + +You have experience with PowerBI and PowerQuery + + + + +Desirable Experience: + + + + +Experience with a grid operator + + + + +Experience with SAP +Show more ","
+ + + + + +
+
+

Data Analyst – Rotterdam, Netherlands – 7 months (extensions likely) – Rate: up to €5,792 – one stage interview - Sector: Energy



Yolk recruitment is recruiting for a Data Analyst to work with a global energy giant to create reports and provide insights into their portfolio. You will analyse how much capacity has been deployed and provide insight into the phase projects are in. Furthermore, the tasks include providing an overview of data processes and thinking along in uniformity for the Portfolio Managers.


Closing date for submission is the 8th of August



Responsibilities:

The Portfolio Management Department is a new department within the Business Project unit. Within this unit, you provide the right data, independently make analyses and solve it by switching with the business. Your reports are needed, among other things, to match supply and demand. We use Sales & Operations Planning (S&OP) for this.

The company uses Power BI to create reports. The task of building these reports lies with the colleagues of the Analysis and Reporting Team, with whom you will work regularly. It is useful for this if you are familiar with Power BI and can understand the data models. Together with your environment, you can fine-tune which analysis tool you will use yourself.


Experience Required:


  • You have completed a university education or have completed a college education and can demonstrably think conceptually.

  • You have at least 3-5 years of relevant work experience.

  • You have experience in projects where you have had to work together with different organizational units and with different management levels.


  • You have experience with PowerBI and PowerQuery


Desirable Experience:


  • Experience with a grid operator


  • Experience with SAP
+
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+ +
",2024-08-05,[] +3982423326,https://pt.linkedin.com/jobs/view/data-analyst-at-affinity-3982423326?position=45&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=8AvfbGCNpfPlb2ePZGbAKg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Affinity,"Porto, Portugal","A Job? Or a Lifetime Experience? Start Yours Here! + + + + +A nossa missão é ser uma parte significativa da carreira das nossas pessoas. À medida que crescemos, cresce também a determinação em oferecer a melhor experiência aos nossos colaboradores e clientes e é exatamente isso que nos move. Somos uma empresa portuguesa de consultoria tecnológica com escritórios em Lisboa, Porto e Óbidos e representações no Brasil, Tunísia e Índia. Contamos com mais de 11 anos de expertise no mercado, e hoje somos um universo de cerca de 400 pessoas a trabalhar em contexto presencial, remoto ou híbrido em projetos em mais de 20 países. + + + + +Acreditamos que grandes pessoas fazem empresas de sucesso e por isso mesmo defendemos a valorização, reconhecimento e crescimento dos nossos profissionais. + + + + +Não queremos ser mais uma linha do teu CV, queremos que connosco vivas uma Lifetime Experience. Apostamos em formações e certificações que confirmam a tua real progressão, na promoção de um saudável work-life balance e na oferta de benefícios com impacto na tua vida pessoal e carreira. + + + + +O que procuramos + + + + +· Licenciatura em Engenharia Informática ou similar; + +· Experiência mínima de 2 anos a trabalhar como Data Analyst; + +· Experiência de 2 anos com Power BI (obrigatório); + +. Bons conhecimentos de Alteryx (Obrigatório); + +. Domínio de Python (Nice to Have); + +· Domínio da língua Inglesa (B2/C1) Obrigatório. + + + + +Ser Affinity + + + + +#Affinidade – Criares relações de proximidade e empatia com colegas, clientes e candidatos (e não apenas com tecnologias, linguagens e plataformas). Espírito de equipa e boa disposição; +#Ambição – Quereres fazer mais e melhor. Vontade de exceder expectativas e evoluir pessoal e profissionalmente; +#Ação – Energia para fazer acontecer. Mostrares proatividade e capacidade de iniciativa; +#Aprendizagem – Vontade de evoluir individual e coletivamente e tornares-te um expert no mercado tecnológico. + + + + +A tua #LifetimeExperience + + + + +Participar em projetos nacionais e internacionais numa empresa baseada em relacionamentos pessoais, na simplicidade e na eficiência, com uma ação disruptiva no mercado tecnológico; +Aceder a um plano de carreira e formação personalizado e diretamente proporcional ao teu desempenho e interesse; +Fazer parte de um ambiente acolhedor, de confiança, respeito e informalidade; +Integrar as nossas Affinity Communities (de desporto, tecnologia, hobbies, etc.) e participar ativamente em projetos de responsabilidade social e ambiental; +Tirar partido de um conjunto de benefícios, parcerias, descontos eventos e dinâmicas internas. + + + + +Para além da tua satisfação profissional queremos proporcionar-te oportunidades de lazer e convívio memoráveis e dignos de uma experiência Affinity. + + + + +Join the Experience! + +Show more ","
+ + + + + +
+
+

A Job? Or a Lifetime Experience? Start Yours Here!


A nossa missão é ser uma parte significativa da carreira das nossas pessoas. À medida que crescemos, cresce também a determinação em oferecer a melhor experiência aos nossos colaboradores e clientes e é exatamente isso que nos move. Somos uma empresa portuguesa de consultoria tecnológica com escritórios em Lisboa, Porto e Óbidos e representações no Brasil, Tunísia e Índia. Contamos com mais de 11 anos de expertise no mercado, e hoje somos um universo de cerca de 400 pessoas a trabalhar em contexto presencial, remoto ou híbrido em projetos em mais de 20 países.


Acreditamos que grandes pessoas fazem empresas de sucesso e por isso mesmo defendemos a valorização, reconhecimento e crescimento dos nossos profissionais.


Não queremos ser mais uma linha do teu CV, queremos que connosco vivas uma Lifetime Experience. Apostamos em formações e certificações que confirmam a tua real progressão, na promoção de um saudável work-life balance e na oferta de benefícios com impacto na tua vida pessoal e carreira.


O que procuramos


· Licenciatura em Engenharia Informática ou similar;

· Experiência mínima de 2 anos a trabalhar como Data Analyst;

· Experiência de 2 anos com Power BI (obrigatório);

. Bons conhecimentos de Alteryx (Obrigatório);

. Domínio de Python (Nice to Have);

· Domínio da língua Inglesa (B2/C1) Obrigatório.


Ser Affinity


  • #Affinidade – Criares relações de proximidade e empatia com colegas, clientes e candidatos (e não apenas com tecnologias, linguagens e plataformas). Espírito de equipa e boa disposição;
  • #Ambição – Quereres fazer mais e melhor. Vontade de exceder expectativas e evoluir pessoal e profissionalmente;
  • #Ação – Energia para fazer acontecer. Mostrares proatividade e capacidade de iniciativa;
  • #Aprendizagem – Vontade de evoluir individual e coletivamente e tornares-te um expert no mercado tecnológico.


A tua #LifetimeExperience


  • Participar em projetos nacionais e internacionais numa empresa baseada em relacionamentos pessoais, na simplicidade e na eficiência, com uma ação disruptiva no mercado tecnológico;
  • Aceder a um plano de carreira e formação personalizado e diretamente proporcional ao teu desempenho e interesse;
  • Fazer parte de um ambiente acolhedor, de confiança, respeito e informalidade;
  • Integrar as nossas Affinity Communities (de desporto, tecnologia, hobbies, etc.) e participar ativamente em projetos de responsabilidade social e ambiental;
  • Tirar partido de um conjunto de benefícios, parcerias, descontos eventos e dinâmicas internas.


Para além da tua satisfação profissional queremos proporcionar-te oportunidades de lazer e convívio memoráveis e dignos de uma experiência Affinity.


Join the Experience!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3986937370,https://pt.linkedin.com/jobs/view/data-analyst-at-affinity-3986937370?position=46&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=CzEZbQRSZdMdzmUrP7WKKQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Affinity,Lisbon Metropolitan Area,"TA Job? Or a Lifetime Experience? Start Yours Here! + + + + +A nossa missão é ser uma parte significativa da carreira das nossas pessoas. À medida que crescemos, cresce também a determinação em oferecer a melhor experiência aos nossos colaboradores e clientes e é exatamente isso que nos move. Somos uma empresa portuguesa de consultoria tecnológica com escritórios em Lisboa, Porto e Óbidos e representações no Brasil, Tunísia e Índia. Contamos com mais de 11 anos de expertise no mercado, e hoje somos um universo de cerca de 400 pessoas a trabalhar em contexto presencial, remoto ou híbrido em projetos em mais de 20 países. + + + + +Acreditamos que grandes pessoas fazem empresas de sucesso e por isso mesmo defendemos a valorização, reconhecimento e crescimento dos nossos profissionais. + + + + +Não queremos ser mais uma linha do teu CV, queremos que connosco vivas uma Lifetime Experience. Apostamos em formações e certificações que confirmam a tua real progressão, na promoção de um saudável work-life balance e na oferta de benefícios com impacto na tua vida pessoal e carreira. + + + + +O que procuramos + + + + +Formação em Engenharia Informática ou similar; +Mais de 5 anos experiência em Talend; +Conhecimentos sólidos de SQL Server; +Bons conhecimentos de inglês (B2 ou superior). + + + + +Ser Affinity + + + + +#Affinidade – Criares relações de proximidade e empatia com colegas, clientes e candidatos (e não apenas com tecnologias, linguagens e plataformas). Espírito de equipa e boa disposição; +#Ambição – Quereres fazer mais e melhor. Vontade de exceder expectativas e evoluir pessoal e profissionalmente; +#Ação – Energia para fazer acontecer. Mostrares proatividade e capacidade de iniciativa; +#Aprendizagem – Vontade de evoluir individual e coletivamente e tornares-te um expert no mercado tecnológico. + + + + +A tua #LifetimeExperience + + + + +Participar em projetos nacionais e internacionais numa empresa baseada em relacionamentos pessoais, na simplicidade e na eficiência, com uma ação disruptiva no mercado tecnológico; +Aceder a um plano de carreira e formação personalizado e diretamente proporcional ao teu desempenho e interesse; +Fazer parte de um ambiente acolhedor, de confiança, respeito e informalidade; +Integrar as nossas Affinity Communities (de desporto, tecnologia, hobbies, etc.) e participar ativamente em projetos de responsabilidade social e ambiental; +Tirar partido de um conjunto de benefícios, parcerias, descontos eventos e dinâmicas internas. + + + + +Para além da tua satisfação profissional queremos proporcionar-te oportunidades de lazer e convívio memoráveis e dignos de uma experiência Affinity. + + + + +Join the Experience! + + + + +Envia-nos a tua candidatura e aproveita para nos conhecer e ir acompanhando em: + +https://www.instagram.com/affinityportugal/ + +https://www.linkedin.com/company/2701281/admin/ + +https://twitter.com/WithAffinity + +Show more ","
+ + + + + +
+
+

TA Job? Or a Lifetime Experience? Start Yours Here!


A nossa missão é ser uma parte significativa da carreira das nossas pessoas. À medida que crescemos, cresce também a determinação em oferecer a melhor experiência aos nossos colaboradores e clientes e é exatamente isso que nos move. Somos uma empresa portuguesa de consultoria tecnológica com escritórios em Lisboa, Porto e Óbidos e representações no Brasil, Tunísia e Índia. Contamos com mais de 11 anos de expertise no mercado, e hoje somos um universo de cerca de 400 pessoas a trabalhar em contexto presencial, remoto ou híbrido em projetos em mais de 20 países.


Acreditamos que grandes pessoas fazem empresas de sucesso e por isso mesmo defendemos a valorização, reconhecimento e crescimento dos nossos profissionais.


Não queremos ser mais uma linha do teu CV, queremos que connosco vivas uma Lifetime Experience. Apostamos em formações e certificações que confirmam a tua real progressão, na promoção de um saudável work-life balance e na oferta de benefícios com impacto na tua vida pessoal e carreira.


O que procuramos


  • Formação em Engenharia Informática ou similar;
  • Mais de 5 anos experiência em Talend;
  • Conhecimentos sólidos de SQL Server;
  • Bons conhecimentos de inglês (B2 ou superior).


Ser Affinity


  • #Affinidade – Criares relações de proximidade e empatia com colegas, clientes e candidatos (e não apenas com tecnologias, linguagens e plataformas). Espírito de equipa e boa disposição;
  • #Ambição – Quereres fazer mais e melhor. Vontade de exceder expectativas e evoluir pessoal e profissionalmente;
  • #Ação – Energia para fazer acontecer. Mostrares proatividade e capacidade de iniciativa;
  • #Aprendizagem – Vontade de evoluir individual e coletivamente e tornares-te um expert no mercado tecnológico.


A tua #LifetimeExperience


  • Participar em projetos nacionais e internacionais numa empresa baseada em relacionamentos pessoais, na simplicidade e na eficiência, com uma ação disruptiva no mercado tecnológico;
  • Aceder a um plano de carreira e formação personalizado e diretamente proporcional ao teu desempenho e interesse;
  • Fazer parte de um ambiente acolhedor, de confiança, respeito e informalidade;
  • Integrar as nossas Affinity Communities (de desporto, tecnologia, hobbies, etc.) e participar ativamente em projetos de responsabilidade social e ambiental;
  • Tirar partido de um conjunto de benefícios, parcerias, descontos eventos e dinâmicas internas.


Para além da tua satisfação profissional queremos proporcionar-te oportunidades de lazer e convívio memoráveis e dignos de uma experiência Affinity.


Join the Experience!


Envia-nos a tua candidatura e aproveita para nos conhecer e ir acompanhando em:

https://www.instagram.com/affinityportugal/

https://www.linkedin.com/company/2701281/admin/

https://twitter.com/WithAffinity

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3986412431,https://pt.linkedin.com/jobs/view/data-analyst-at-celfocus-3986412431?position=51&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=GQukO2CyLIRY5bk2eSbk%2FA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Celfocus,"Lisbon, Lisbon, Portugal"," + +Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative. + +Be part of the team that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients. + +Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity. + +About The Role + +Data Analyst is responsible for examining and interpreting complex data sets to derive meaningful insights and support business decision-making. Focused on descriptive and diagnostic analytics to answer questions of where your company has been, where it is now, why things are the way they are now, and support the decision about what are the next steps. + +Their mission involves organizing data, conducting statistical analysis, creating data models, and collecting data requirements from Businesses. + +Data analysts collaborate with different teams to understand their analytical requirements, identify key metrics, and communicate data-driven findings to stakeholders effectively. + +As a part of your job, you will: + + +Gathering and analyzing business requirements to determine the best solution for data reporting and analysis; +Designing data solutions such as data warehousing, data marts, dashboards, and reporting systems; +Developing and maintaining data models, reports, and visualizations; +Collaborating with IT teams to ensure proper data integration and management; +Assisting stakeholders in interpreting data insights and making informed business decisions. + + + +What are we looking for? + + +Proficiency in SQL for data querying and analysis; +Experience with data visualization tools (e.g., Tableau, Power BI, or matplotlib); +Knowledge of statistical analysis techniques and tools (e.g., R, Python libraries like pandas); +Ability to interpret and analyze complex data sets; +Familiarity with data cleansing and preparation techniques. + + + +Personal traits: + +Ability to adapt to different contexts, teams and Clients + +Teamwork skills but also sense of autonomy + +Motivation for international projects and ok if travel is included + +Willingness to collaborate with other players + +Strong communication skills + +We want people who like to roll up their sleeves and open their minds. Believe this is you? Come join the Team! + +Celfocus is a European high-tech system integrator, providing professional services focused on creating business value through Analytics and Cognitive solutions – addressing Telecommunications, Energy & Utilities, Financial Services and other markets' strategic opportunities. + +Serving Clients in 25+ countries, Celfocus delivers solutions such as accelerating digital network transformation in Autonomous Networks, elevating and monetising business services in B2B2x ecosystems, and providing highly relevant customer experiences through Hyper-personalisation solutions. +Show more ","
+ + + + + +
+
+

Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative.

Be part of the team that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.

Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity.

About The Role

Data Analyst is responsible for examining and interpreting complex data sets to derive meaningful insights and support business decision-making. Focused on descriptive and diagnostic analytics to answer questions of where your company has been, where it is now, why things are the way they are now, and support the decision about what are the next steps.

Their mission involves organizing data, conducting statistical analysis, creating data models, and collecting data requirements from Businesses.

Data analysts collaborate with different teams to understand their analytical requirements, identify key metrics, and communicate data-driven findings to stakeholders effectively.

As a part of your job, you will:

  • Gathering and analyzing business requirements to determine the best solution for data reporting and analysis;
  • Designing data solutions such as data warehousing, data marts, dashboards, and reporting systems;
  • Developing and maintaining data models, reports, and visualizations;
  • Collaborating with IT teams to ensure proper data integration and management;
  • Assisting stakeholders in interpreting data insights and making informed business decisions.


What are we looking for?

  • Proficiency in SQL for data querying and analysis;
  • Experience with data visualization tools (e.g., Tableau, Power BI, or matplotlib);
  • Knowledge of statistical analysis techniques and tools (e.g., R, Python libraries like pandas);
  • Ability to interpret and analyze complex data sets;
  • Familiarity with data cleansing and preparation techniques.


Personal traits:

Ability to adapt to different contexts, teams and Clients

Teamwork skills but also sense of autonomy

Motivation for international projects and ok if travel is included

Willingness to collaborate with other players

Strong communication skills

We want people who like to roll up their sleeves and open their minds. Believe this is you? Come join the Team!

Celfocus is a European high-tech system integrator, providing professional services focused on creating business value through Analytics and Cognitive solutions – addressing Telecommunications, Energy & Utilities, Financial Services and other markets' strategic opportunities.

Serving Clients in 25+ countries, Celfocus delivers solutions such as accelerating digital network transformation in Autonomous Networks, elevating and monetising business services in B2B2x ecosystems, and providing highly relevant customer experiences through Hyper-personalisation solutions. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3986543255,https://es.linkedin.com/jobs/view/data-analyst-at-innoit-consulting-3986543255?position=58&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=3nAGsrQ1QdomkMAmPbLQGQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,InnoIT Consulting,"Barcelona, Catalonia, Spain","🌐 Híbrido - EVALUAREMOS SOLO PROFESIONALES DE BARCELONA + +⌛ Tiempo completo + +👨‍💻 Nivel Medio + + + + +Sobre INNOIT + +En INNOIT, nos especializamos en la gestión de carreras profesionales en el ámbito de la tecnología de la información. Somos una consultora tecnológica y digital con sede en España, contamos con un equipo de más de 200 profesionales del sector y llevamos más de seis años participando en la transformación digital de destacadas empresas a nivel nacional e internacional. + + + + +✍️Responsabilidades: + +Comprender los problemas del día a día a los que se enfrenta el negocio. +Recopilar y analizar datos relacionados con diferentes temas del negocio. +Analizar datos de diferentes sitios de la empresa para obtener la información necesaria. +Desarrollar visualizaciones claras para transmitir datos complejos a una manera sencilla. + + + + +👍Tu perfil: + ++3 años de experiencia en análisis de datos. ++3 años de experiencia en Python y SQL. ++2 años de experiencia en Power BI. +Persona colaborativa para trabajar eficazmente con equipos multifuncionales en un entorno ágil. Su busca una persona organizad y con buena capacidad de gestión del tiempo. +Castellano e inglés oral alto + + + + +🚀 Lo que te ofrecemos: + +⏱ Horarios flexibles + +💰 Salario competitivo + retribución flexible + +🩺 Seguro médico + +🎓 Formaciones técnicas y no técnicas + +📚 Cursos de idiomas + +🤓 Comunidades tecnológicas + +🔄 Seguimiento continuo + +🚀 Trayectoria profesional + + + + +Únete al equipo InnoIT, desarrolla tu talento en IT, aprende, crea y diviértete! + + + + +Te estamos esperando 😊así que si quieres saberlo todo, ¡contactanos ya! + + + + +Si quieres conocernos más, puedes visitar nuestra web y nuestra app de Meetup: + +www.inno-it.es: + +https://www.inno-it.es/ + + + + +Meetup de InnoIT Consulting en Barcelona: + +https://www.meetup.com/es-ES/Meetup-de-InnoIT-Consulting-en-Barcelona/?_locale=es-ES + + + + +Meetup de InnoIT Consulting en Madrid: + +https://www.meetup.com/es-ES/meetup-de-innoit-consulting-en-madrid/ + +Show more ","
+ + + + + +
+
+

🌐 Híbrido - EVALUAREMOS SOLO PROFESIONALES DE BARCELONA

⌛ Tiempo completo

👨‍💻 Nivel Medio


Sobre INNOIT

En INNOIT, nos especializamos en la gestión de carreras profesionales en el ámbito de la tecnología de la información. Somos una consultora tecnológica y digital con sede en España, contamos con un equipo de más de 200 profesionales del sector y llevamos más de seis años participando en la transformación digital de destacadas empresas a nivel nacional e internacional.


✍️Responsabilidades:

  • Comprender los problemas del día a día a los que se enfrenta el negocio.
  • Recopilar y analizar datos relacionados con diferentes temas del negocio.
  • Analizar datos de diferentes sitios de la empresa para obtener la información necesaria.
  • Desarrollar visualizaciones claras para transmitir datos complejos a una manera sencilla.


👍Tu perfil:

  • +3 años de experiencia en análisis de datos.
  • +3 años de experiencia en Python y SQL.
  • +2 años de experiencia en Power BI.
  • Persona colaborativa para trabajar eficazmente con equipos multifuncionales en un entorno ágil. Su busca una persona organizad y con buena capacidad de gestión del tiempo.
  • Castellano e inglés oral alto


🚀 Lo que te ofrecemos:

⏱ Horarios flexibles

💰 Salario competitivo + retribución flexible

🩺 Seguro médico

🎓 Formaciones técnicas y no técnicas

📚 Cursos de idiomas

🤓 Comunidades tecnológicas

🔄 Seguimiento continuo

🚀 Trayectoria profesional


Únete al equipo InnoIT, desarrolla tu talento en IT, aprende, crea y diviértete!


Te estamos esperando 😊así que si quieres saberlo todo, ¡contactanos ya!


Si quieres conocernos más, puedes visitar nuestra web y nuestra app de Meetup:

www.inno-it.es:

https://www.inno-it.es/


Meetup de InnoIT Consulting en Barcelona:

https://www.meetup.com/es-ES/Meetup-de-InnoIT-Consulting-en-Barcelona/?_locale=es-ES


Meetup de InnoIT Consulting en Madrid:

https://www.meetup.com/es-ES/meetup-de-innoit-consulting-en-madrid/

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3995250432,https://se.linkedin.com/jobs/view/data-analyst-to-h-m-%E2%80%93-supply-planning-at-h-m-group-3995250432?position=59&pageNum=0&refId=OjaYD4LdMRGpYu8wycsxlA%3D%3D&trackingId=zORHSKMwttKWGuBo483yUA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst to H&M – Supply Planning,H&M Group,"Stockholm, Stockholm County, Sweden","Company Description + +H&M is a workplace where you’ll join a global fashion family that combines teamwork with individual expression and gives you the challenges and opportunities that can help you learn, grow, and succeed. We believe that it’s when you mix and match different talents, experiences, and styles that the real magic happens. That’s why our teams are built with different personalities, talents and people from all kinds of backgrounds. If you are willing to learn, grow and help our customers and your colleagues, H&M will always be a place for you to both express your individuality and feel like you belong. We also believe that you can’t change the world without great people on your side. So, we offer all our employee’s generous benefits, lots of learning opportunities and the possibility to start building a more long-term career. Bring your whole personality to work, stay as long as you want, and grow more than you ever thought was possible. Be yourself & more at H&M. + +The advertised role is the unit of Supply Planning which is part of the Supply Chain function. The mission of the Supply Planning unit is to enable Region and Business units to maximize the value of availability, lead-time, cost, and inventory in a sustainable way. We do this by leading the development, implementation and follow up of supply planning strategies, processes, and technology.  + +Job Description + +Are you interested working with data analytics in the field of supply planning in the ever-evolving fashion retail and e-commerce industry? This is a unique opportunity to nurture your analytical side working with big data to provide insights that will lead our area in their decision making. We want to release the power of people and believe the best ideas evolve when great minds with different perspectives meet. We believe in our people, and always encourage new ideas and initiatives. + +The role + +We are recruiting for two data analyst vacancies, one in the in-season stock management field and one in the end-to-end enablers field of our Supply Planning Unit. In both roles you will work as a key enabler to secure realization of business and customer value from analytics, data and modelling of our supply planning capabilities and logics within our logistical network. You have a strong supply chain focus, a commercial mindset and innate curiosity, you keep the customer at heart, and you love making data talk! At H&M Supply Planning you will get the opportunity to work in a large data analyst community and in an organization, which heavily relies on making data driven decisions. We have over 1 billion customers with 130 million members in 70 different markets along with 8 unique brands in a fast-paced retail industry. + +Some of your main responsibilities & tasks will include: + + +Be the driver for data driven decision making in your initiative/product team by taking data into insights and provide the team with clear, data driven recommendations. +Apply advanced analytics and tools to model, execute and follow up initiatives from idea to industrialization. +Use SQL and potentially further programming languages to gather, clean and prepare data for analysis. +Define and set up measurable KPI’s and OKRs, own and maintain their visualization for value reporting. +Be the go-to person in your product team/initiative for data and analytics knowledge. +Work as a part of an agile organization to support product development and support building business cases to showcase the value of new undertakings. +Participate in the wider analytics community, both within Supply Planning and the wider H&M group! + + + +Qualifications + +Just like everyone at H&M, we believe you are a business-minded, open, communicative, and ambitious team player full of drive and optimism. You have a robust analytical ability with an eye for change and improvement opportunities. + + +Academic degree within Economics, Business, Supply Chain, Mathematics, Engineering, or similar +Previous experience within supply chain, retail, fashion, or tech product driven companies preferred. +Profound work experience in the field of analytics related to product/business development. +Ability to define, align and confidently lead analytical assignments with the strategic goals of the business. +Confidently working with analytical programming languages such as SQL, Python, or R +Experience in working with data visualization tools e.g., Power BI, Looker +Understanding of using numerical, statistical, and analytical methods to apply to data processing. +Demonstrated ability to analyze large amounts of data into clear insights. +Ability to work with multiple stakeholders across different competences (Product Mgrs., Software Engineers, etc.) +Strong communication and storytelling skills and ability to communicate and explain data and its implications to various stakeholders . +Be comfortable with working within a large matrix organization. +Analytical mindset with strong problem-solving skills. +Experience and/or interest in technical product development. + + + +Additional Information + +This is a full time position based in Stockholm. If you believe you will bring value to this role and want to join our fantastic team, please upload your CV (in English) as soon as possible. Responsible recruiter is Sarah Assem. We look forward to receiving your application! + +H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age. +Show more ","
+ + + + + +
+
+ Company Description

H&M is a workplace where you’ll join a global fashion family that combines teamwork with individual expression and gives you the challenges and opportunities that can help you learn, grow, and succeed. We believe that it’s when you mix and match different talents, experiences, and styles that the real magic happens. That’s why our teams are built with different personalities, talents and people from all kinds of backgrounds. If you are willing to learn, grow and help our customers and your colleagues, H&M will always be a place for you to both express your individuality and feel like you belong. We also believe that you can’t change the world without great people on your side. So, we offer all our employee’s generous benefits, lots of learning opportunities and the possibility to start building a more long-term career. Bring your whole personality to work, stay as long as you want, and grow more than you ever thought was possible. Be yourself & more at H&M.

The advertised role is the unit of Supply Planning which is part of the Supply Chain function. The mission of the Supply Planning unit is to enable Region and Business units to maximize the value of availability, lead-time, cost, and inventory in a sustainable way. We do this by leading the development, implementation and follow up of supply planning strategies, processes, and technology. 

Job Description

Are you interested working with data analytics in the field of supply planning in the ever-evolving fashion retail and e-commerce industry? This is a unique opportunity to nurture your analytical side working with big data to provide insights that will lead our area in their decision making. We want to release the power of people and believe the best ideas evolve when great minds with different perspectives meet. We believe in our people, and always encourage new ideas and initiatives.

The role

We are recruiting for two data analyst vacancies, one in the in-season stock management field and one in the end-to-end enablers field of our Supply Planning Unit. In both roles you will work as a key enabler to secure realization of business and customer value from analytics, data and modelling of our supply planning capabilities and logics within our logistical network. You have a strong supply chain focus, a commercial mindset and innate curiosity, you keep the customer at heart, and you love making data talk! At H&M Supply Planning you will get the opportunity to work in a large data analyst community and in an organization, which heavily relies on making data driven decisions. We have over 1 billion customers with 130 million members in 70 different markets along with 8 unique brands in a fast-paced retail industry.

Some of your main responsibilities & tasks will include:

  • Be the driver for data driven decision making in your initiative/product team by taking data into insights and provide the team with clear, data driven recommendations.
  • Apply advanced analytics and tools to model, execute and follow up initiatives from idea to industrialization.
  • Use SQL and potentially further programming languages to gather, clean and prepare data for analysis.
  • Define and set up measurable KPI’s and OKRs, own and maintain their visualization for value reporting.
  • Be the go-to person in your product team/initiative for data and analytics knowledge.
  • Work as a part of an agile organization to support product development and support building business cases to showcase the value of new undertakings.
  • Participate in the wider analytics community, both within Supply Planning and the wider H&M group!


Qualifications

Just like everyone at H&M, we believe you are a business-minded, open, communicative, and ambitious team player full of drive and optimism. You have a robust analytical ability with an eye for change and improvement opportunities.

  • Academic degree within Economics, Business, Supply Chain, Mathematics, Engineering, or similar
  • Previous experience within supply chain, retail, fashion, or tech product driven companies preferred.
  • Profound work experience in the field of analytics related to product/business development.
  • Ability to define, align and confidently lead analytical assignments with the strategic goals of the business.
  • Confidently working with analytical programming languages such as SQL, Python, or R
  • Experience in working with data visualization tools e.g., Power BI, Looker
  • Understanding of using numerical, statistical, and analytical methods to apply to data processing.
  • Demonstrated ability to analyze large amounts of data into clear insights.
  • Ability to work with multiple stakeholders across different competences (Product Mgrs., Software Engineers, etc.)
  • Strong communication and storytelling skills and ability to communicate and explain data and its implications to various stakeholders .
  • Be comfortable with working within a large matrix organization.
  • Analytical mindset with strong problem-solving skills.
  • Experience and/or interest in technical product development.


Additional Information

This is a full time position based in Stockholm. If you believe you will bring value to this role and want to join our fantastic team, please upload your CV (in English) as soon as possible. Responsible recruiter is Sarah Assem. We look forward to receiving your application!

H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3989593744,https://nl.linkedin.com/jobs/view/data-analyst-at-capitole-3989593744?position=1&pageNum=2&refId=o2SKy%2BoIKv6pQ58876Uw6w%3D%3D&trackingId=62MJZ14J8Bgml2O3LF4CmA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Capitole,"South Holland, Netherlands","🔵 Capitole is still growing and we want to do it with you! 🚀 + + + + +We are looking for an experienced Data Analyst responsible to create reports and provide insights into our portfolio. You will analyze how much capacity is being utilized and make clear the phases in which projects are. Additionally, your tasks will include delivering an overview of data processes and contributing to uniformity for the Portfolio Managers. + + + + + + + +🤖 Responsabilities and requirements: + + + + +Analyze capacity utilization, Clarify project phases, Deliver data process overviews, standardize for Portfolio Managers, Align supply and demand using S&OP. +Ensure correct data in the Business Project unit, perform independent data analyses, resolve issues by liaising with the business. +Communicate across organizational layers, collaborate with the Analysis and Reporting Team, foster support for high-quality data delivery and use. +Transform ad-hoc data issues into structural solutions, standardize data processes for Portfolio Management, propose improvements from analyses, clarify the data landscape for Portfolio Management. +Link systems based on data models, automate portfolio consolidation, build mechanisms to ensure data quality. + + + + + + + +🛠️ Technical Requirements: + +Completed education at a university level or higher professional education with conceptual thinking ability. +At least 3-5 years in projects requiring collaboration with various organizational units and management levels. +Preferably, experience in an organization with many stakeholders and a complex data landscape. +Familiarity with PowerBI and PowerQuery, ability to quickly master a data landscape, experience with a grid operator (preferred), experience with SAP (preferred). +Strong analytical insight, good with numbers, ability to distinguish between main and side issues, convert data into information for process proposals at operational and tactical levels. + + + + + + + +🎉 Why Capitole? + +🤝 Our employees come first. We believe in a different, more human model, placing people at the center of our company. + +📜 Permanent contract +💵 Competitive salary range: 4000-6000 € +🌴 Holiday allowance +🚗 Mobility allowance (depending on seniority) +🎁 Bonus: 10% on top of the year salary +📚 Training budget: 1200 € per year +💼 Pension scheme contribution +💻 IT supplies +🏠💼 Hybrid working (1 time per week on Wednesday) +💼 Work 4 days per week + + + + +Don't know us yet? Discover us!! + +https://capitole-consulting.com/ + + + + +Don't hesitate to send us your profile, we are looking forward to meeting you! ☎📩 + +Show more ","
+ + + + + +
+
+

🔵 Capitole is still growing and we want to do it with you! 🚀


We are looking for an experienced Data Analyst responsible to create reports and provide insights into our portfolio. You will analyze how much capacity is being utilized and make clear the phases in which projects are. Additionally, your tasks will include delivering an overview of data processes and contributing to uniformity for the Portfolio Managers.



🤖 Responsabilities and requirements:


  • Analyze capacity utilization, Clarify project phases, Deliver data process overviews, standardize for Portfolio Managers, Align supply and demand using S&OP.
  • Ensure correct data in the Business Project unit, perform independent data analyses, resolve issues by liaising with the business.
  • Communicate across organizational layers, collaborate with the Analysis and Reporting Team, foster support for high-quality data delivery and use.
  • Transform ad-hoc data issues into structural solutions, standardize data processes for Portfolio Management, propose improvements from analyses, clarify the data landscape for Portfolio Management.
  • Link systems based on data models, automate portfolio consolidation, build mechanisms to ensure data quality.



🛠️ Technical Requirements:

  • Completed education at a university level or higher professional education with conceptual thinking ability.
  • At least 3-5 years in projects requiring collaboration with various organizational units and management levels.
  • Preferably, experience in an organization with many stakeholders and a complex data landscape.
  • Familiarity with PowerBI and PowerQuery, ability to quickly master a data landscape, experience with a grid operator (preferred), experience with SAP (preferred).
  • Strong analytical insight, good with numbers, ability to distinguish between main and side issues, convert data into information for process proposals at operational and tactical levels.



🎉 Why Capitole?

🤝 Our employees come first. We believe in a different, more human model, placing people at the center of our company.

  • 📜 Permanent contract
  • 💵 Competitive salary range: 4000-6000 €
  • 🌴 Holiday allowance
  • 🚗 Mobility allowance (depending on seniority)
  • 🎁 Bonus: 10% on top of the year salary
  • 📚 Training budget: 1200 € per year
  • 💼 Pension scheme contribution
  • 💻 IT supplies
  • 🏠💼 Hybrid working (1 time per week on Wednesday)
  • 💼 Work 4 days per week


Don't know us yet? Discover us!!

https://capitole-consulting.com/


Don't hesitate to send us your profile, we are looking forward to meeting you! ☎📩

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3994730909,https://fr.linkedin.com/jobs/view/data-analyst-at-acolad-group-3994730909?position=4&pageNum=2&refId=o2SKy%2BoIKv6pQ58876Uw6w%3D%3D&trackingId=osr7Et2GKTcul%2Bj6b%2Fo2dg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Acolad group,"Boulogne-Billancourt, Île-de-France, France","Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world. + +At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed. + +Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world's leading brands. + +We are seeking a motivated and detail-oriented Entry-Level Data Analyst to join our team. The ideal candidate will be passionate about data, possess strong analytical skills, and be eager to solve complex problems. As a Data Analyst, you will work closely with business partners across various departments to support data-driven decision-making. This role offers a great opportunity to work on a wide range of subjects, always in a hands-on capacity. + +Key Responsibilities: + +Analyze data provided by data engineers to support business operations and decision-making. +Develop and maintain reports using Tableau and manage them in Tableau Cloud to provide insights to business partners. +Write complex SQL queries to extract and manipulate data from databases. +Utilize Python for data analysis and/or automation. +Collaborate with cross-functional teams to understand their data needs and provide actionable insights. +Present findings and recommendations to stakeholders in a clear and concise manner. +Continuously seek to improve processes and data quality. +Stay curious and proactive in identifying new opportunities and challenges within the data. + + + +Requirements + + +Master's degree in Data Science, Analytics, Computer Science, or a related data-focused field. +Fluency in English is required. +Proficiency in SQL for data extraction and manipulation. +Experience with Tableau (or equivalent) for data visualization and management in Tableau Cloud (or equivalent). +Strong knowledge of Python for data analysis and scripting. +Excellent analytical and problem-solving skills. +Strong attention to detail and a commitment to data accuracy. +Effective communication skills, with the ability to explain complex concepts to non-technical stakeholders. +Curiosity and eagerness to tackle new challenges. + +Preferred Qualifications: + +Internship or academic project experience in data analysis or a related field is a plus. +Knowledge of data warehousing concepts and tools is advantageous. +Experience working with large datasets is a plus. + + + +Benefits + + +Competitive salary and performance-based bonuses +Work in an international and multi-cultural environment +Up to 2 days remote per week + +Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms - gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation - enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds. + +Show more ","
+ + + + + +
+
+

Acolad is the global leader in content and language solutions. Its mission is to support companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise. Established in 1993, the group is present in 23 countries across Europe, North America, and Asia, with over 1.800 employees supported by a network of +20.000 linguists around the world.

At Acolad, every position is key to our global growth: we know that we will only succeed if our people succeed.

Joining Acolad means a unique opportunity for professional development through a collaborative global environment that promotes talent and creativity. We are continuously looking for new talent (like you!) to support our mission to drive growth and innovation across some of the world's leading brands.

We are seeking a motivated and detail-oriented Entry-Level Data Analyst to join our team. The ideal candidate will be passionate about data, possess strong analytical skills, and be eager to solve complex problems. As a Data Analyst, you will work closely with business partners across various departments to support data-driven decision-making. This role offers a great opportunity to work on a wide range of subjects, always in a hands-on capacity.

Key Responsibilities:

  • Analyze data provided by data engineers to support business operations and decision-making.
  • Develop and maintain reports using Tableau and manage them in Tableau Cloud to provide insights to business partners.
  • Write complex SQL queries to extract and manipulate data from databases.
  • Utilize Python for data analysis and/or automation.
  • Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Continuously seek to improve processes and data quality.
  • Stay curious and proactive in identifying new opportunities and challenges within the data.


Requirements

  • Master's degree in Data Science, Analytics, Computer Science, or a related data-focused field.
  • Fluency in English is required.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Tableau (or equivalent) for data visualization and management in Tableau Cloud (or equivalent).
  • Strong knowledge of Python for data analysis and scripting.
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and a commitment to data accuracy.
  • Effective communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Curiosity and eagerness to tackle new challenges.

Preferred Qualifications:

  • Internship or academic project experience in data analysis or a related field is a plus.
  • Knowledge of data warehousing concepts and tools is advantageous.
  • Experience working with large datasets is a plus.


Benefits

  • Competitive salary and performance-based bonuses
  • Work in an international and multi-cultural environment
  • Up to 2 days remote per week

Acolad is committed to creating a diverse and equitable workforce. We believe that diversity, equity, and inclusion in all its forms - gender, age, disability, marital status, ethnic or social origin, religion, belief, or sexual orientation - enrich the workplace. It opens opportunities for individuals to express their talents, both individually and collectively, and strengthens our ability to adapt to a changing world. As an equal opportunity employer, we welcome and consider applications from all qualified candidates, regardless of their backgrounds.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3988582793,https://nl.linkedin.com/jobs/view/data-analyst-at-everfield-3988582793?position=5&pageNum=2&refId=o2SKy%2BoIKv6pQ58876Uw6w%3D%3D&trackingId=6G8w2vnCb0y9RzWiJIQ8Wg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Everfield,Amsterdam Area,"Data Analyst (CRM Specialisation) + + + + +As Data Analyst with CRM Specialisation, you will contribute to the success of the Sales & Marketing teams of Everfield's portfolio across Europe: + +Use your experience in Sales & Marketing analytics to present actionable insights to our Sales & Marketing teams (HQ & Portfolio). +Work with implementation partners and portfolio companies to ensure CRM systems are implemented in alignment with Everfield standards. +Cooperate with Data Engineers to create sustainable data pipelines from various CRM systems. + + + + +The company: + +Everfield is a platform with a mission in acquiring, building and operating vertical market and specialist software companies, focused on European businesses. We invest in and provide support and best practices to software companies in order for them to live up to their full potential by offering a very established approach to promote growth. + + + + +Everfield seeks to deliver innovation and growth to its acquired companies by providing best practices and operational support to help identify opportunities and install proven methodologies to accelerate customer and market share. Everfield is located throughout Europe, with offices in UK, Germany, the Netherlands, France, Poland, Spain, and Latvia. + + + + +The team: + +You will join the Business Intelligence (BI) team as the fourth member. Currently the team consists of two Data Engineers and a hands-on team lead. The BI team creates value for various stakeholders (CEO, Finance, COO, Sales, Marketing, and Everfield’s portfolio companies), by creating insights, delivering analysis, automating reporting processes and improving data quality. + + + + +The team builds pipelines with Synapse to ingest the data into our data platform, uses Databricks for data transformation and Power BI for data visualization. For analytics the team also uses SQL. + + + + +The scope of the team is expected to scale with the company’s growth and maturity level. Everfield will scale from 16 portfolio companies currently, to approximately 90 companies in the next 4 years. + + + + +Responsibilities: + +Requirements gathering + +Align with key stakeholders to understand reporting requirements +Create feature development and communication plans + +Data Analysis + +Perform Sales & Marketing analysis such as Cohort, Funnel, Pipeline coverage analyses, Revenue forecasting, etc. + +Data Visualization + +Design proof of concept solutions to showcase new features with shortened feedback loop +Create and maintain Power BI reports used by hundreds of users + +Data Ingestion, Verification and Validation + +Extract raw data from upstream sources +Improving data quality and efficiency​ + +Data modelling and Transformation + +Build data systems and pipelines​ based on a medallion architecture + +Structure sales processes + +Go beyond the data and work together with Everfield’s Sales Lead to structure sales processes in the portfolio companies +Support portfolio companies in implementing Everfield’s suggested data structure on CRMs and ensure consistency of definitions across the portfolio + + + + +Ideal candidate profile: + +The position requires a self-starting personality, that fits into an environment that is characterised by entrepreneurship and has a customer centric approach. +The candidate will have at least 3 years of experience within an international or complex environment and the right drive and ambition to make the difference. +Experienced with Sales analysis and business partnership with sales teams. +Relevant experience with Synapse or Azure Data Factory and Databricks is a plus-point. +Knowledge and hands on experience with Python (PySpark, Pandas). +Experienced with data modelling. +Experience with working in a DevOps team, following a structured, iterative Agile development process. +Fluent in English. +Above all, a great colleague, enthusiastic, approachable, honest, committed, result focused, a team player who wants to achieve the best results together. + + + + +What’s in it for you? + +Grow your career in a fast-paced and growing organization. +Enable exponential growth by designing a world class data platform. +Working with the latest Data Analytics & Data Visualisation technologies. +Long term career opportunities. +Working closer to leadership teams within the Head Quarters and Portfolio. +Flexible work environment with offices around Europe (Netherlands, UK, Spain, France, Poland, Germany). + + + + +Continue the conversation + +Interested? We would love to hear from you! + + + + +Apply now with your CV and if you are selected our Talent Acquisition colleague will contact you to schedule the 1st call and start our hiring process. + +Show more ","
+ + + + + +
+
+

Data Analyst (CRM Specialisation)


As Data Analyst with CRM Specialisation, you will contribute to the success of the Sales & Marketing teams of Everfield's portfolio across Europe:

  • Use your experience in Sales & Marketing analytics to present actionable insights to our Sales & Marketing teams (HQ & Portfolio).
  • Work with implementation partners and portfolio companies to ensure CRM systems are implemented in alignment with Everfield standards.
  • Cooperate with Data Engineers to create sustainable data pipelines from various CRM systems.


The company:

Everfield is a platform with a mission in acquiring, building and operating vertical market and specialist software companies, focused on European businesses. We invest in and provide support and best practices to software companies in order for them to live up to their full potential by offering a very established approach to promote growth.


Everfield seeks to deliver innovation and growth to its acquired companies by providing best practices and operational support to help identify opportunities and install proven methodologies to accelerate customer and market share. Everfield is located throughout Europe, with offices in UK, Germany, the Netherlands, France, Poland, Spain, and Latvia.


The team:

You will join the Business Intelligence (BI) team as the fourth member. Currently the team consists of two Data Engineers and a hands-on team lead. The BI team creates value for various stakeholders (CEO, Finance, COO, Sales, Marketing, and Everfield’s portfolio companies), by creating insights, delivering analysis, automating reporting processes and improving data quality.


The team builds pipelines with Synapse to ingest the data into our data platform, uses Databricks for data transformation and Power BI for data visualization. For analytics the team also uses SQL.


The scope of the team is expected to scale with the company’s growth and maturity level. Everfield will scale from 16 portfolio companies currently, to approximately 90 companies in the next 4 years.


Responsibilities:

Requirements gathering

  • Align with key stakeholders to understand reporting requirements
  • Create feature development and communication plans

Data Analysis

  • Perform Sales & Marketing analysis such as Cohort, Funnel, Pipeline coverage analyses, Revenue forecasting, etc.

Data Visualization

  • Design proof of concept solutions to showcase new features with shortened feedback loop
  • Create and maintain Power BI reports used by hundreds of users

Data Ingestion, Verification and Validation

  • Extract raw data from upstream sources
  • Improving data quality and efficiency​

Data modelling and Transformation

  • Build data systems and pipelines​ based on a medallion architecture

Structure sales processes

  • Go beyond the data and work together with Everfield’s Sales Lead to structure sales processes in the portfolio companies
  • Support portfolio companies in implementing Everfield’s suggested data structure on CRMs and ensure consistency of definitions across the portfolio


Ideal candidate profile:

  • The position requires a self-starting personality, that fits into an environment that is characterised by entrepreneurship and has a customer centric approach.
  • The candidate will have at least 3 years of experience within an international or complex environment and the right drive and ambition to make the difference.
  • Experienced with Sales analysis and business partnership with sales teams.
  • Relevant experience with Synapse or Azure Data Factory and Databricks is a plus-point.
  • Knowledge and hands on experience with Python (PySpark, Pandas).
  • Experienced with data modelling.
  • Experience with working in a DevOps team, following a structured, iterative Agile development process.
  • Fluent in English.
  • Above all, a great colleague, enthusiastic, approachable, honest, committed, result focused, a team player who wants to achieve the best results together.


What’s in it for you?

  • Grow your career in a fast-paced and growing organization.
  • Enable exponential growth by designing a world class data platform.
  • Working with the latest Data Analytics & Data Visualisation technologies.
  • Long term career opportunities.
  • Working closer to leadership teams within the Head Quarters and Portfolio.
  • Flexible work environment with offices around Europe (Netherlands, UK, Spain, France, Poland, Germany).


Continue the conversation

Interested? We would love to hear from you!


Apply now with your CV and if you are selected our Talent Acquisition colleague will contact you to schedule the 1st call and start our hiring process.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3989120951,https://pl.linkedin.com/jobs/view/associate-data-analyst-at-sphera-3989120951?position=6&pageNum=2&refId=o2SKy%2BoIKv6pQ58876Uw6w%3D%3D&trackingId=6xDGDFIyvozd0FqNc58ftw%3D%3D&trk=public_jobs_jserp-result_search-card,Associate Data Analyst,Sphera,Poland,"Responsibilities + + + + +Supporting onboarding activities for our customers, case management and case handling +Resolving customer data related cases (checking data, correcting data, validating data, preparing reports, importing data etc.) +Aligning internally on customer questions with the other team and company colleagues +Generating reports from SQL databases and creating queries +Preparing dashboards for customers and for internal purposes +Working with data maintenance, including importing, extracting, correcting and validating data +Recognizing and adopting best practices in reporting and analysis: data integrity, analysis, validation, and documentation +In-depth working with multiple source data, including extraction, manipulation and modelling + + + + +Requirements + + + + +Working experience in data extraction, manipulation, modelling and reporting – minimum 2 years +Excellent Excel skills +Advanced SQL skills +Good Power Query skills +Experience creating data models, projections, pivot tables from multiple source data +Strong spoken and written English + +Show more ","
+ + + + + +
+
+

Responsibilities


  • Supporting onboarding activities for our customers, case management and case handling
  • Resolving customer data related cases (checking data, correcting data, validating data, preparing reports, importing data etc.)
  • Aligning internally on customer questions with the other team and company colleagues
  • Generating reports from SQL databases and creating queries
  • Preparing dashboards for customers and for internal purposes
  • Working with data maintenance, including importing, extracting, correcting and validating data
  • Recognizing and adopting best practices in reporting and analysis: data integrity, analysis, validation, and documentation
  • In-depth working with multiple source data, including extraction, manipulation and modelling


Requirements


  • Working experience in data extraction, manipulation, modelling and reporting – minimum 2 years
  • Excellent Excel skills
  • Advanced SQL skills
  • Good Power Query skills
  • Experience creating data models, projections, pivot tables from multiple source data
  • Strong spoken and written English

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3991303451,https://es.linkedin.com/jobs/view/data-analyst-controlling-at-mango-3991303451?position=7&pageNum=2&refId=o2SKy%2BoIKv6pQ58876Uw6w%3D%3D&trackingId=IQAgpBPW05tPntUp9sbIKw%3D%3D&trk=public_jobs_jserp-result_search-card,DATA ANALYST - CONTROLLING,MANGO,"Palau-solità i Plegamans, Catalonia, Spain","En Mango inspiramos y unimos mediante nuestra pasión por el estilo y la cultura. Estamos en más de 115 países y nuestra presencia online se extiende a más de 110 países. Nuestro equipo está formado por personas de 112 nacionalidades y en un 78% por mujeres. + +Buscamos un/a + +DATA ANALYST - CONTROLLING + +¿CÓMO SERIA TU DÍA A DÍA EN MANGO? + +Para formar parte de nuestro equipo de Reporting dentro del departamento de Control de gestión buscamos un/a Data Analyst. + +Participarás en proyectos con el objetivo de simplificar el acceso a la información, generar valor con los datos y capacitar a los usuarios de herramientas para acelerar la toma de decisiones. + +Funciones + + +Participarás en proyectos con el objetivo de simplificar el acceso a la información, generar valor con los datos y capacitar a los usuarios de herramientas para acelerar la toma de decisiones +Crearás una red de contactos multidisciplinares en la organización para garantizar el éxito de los proyectos +Darás soporte en la elaboración y análisis del reporting mensual financiero +Darás soporte en la creación y mantenimiento de dashboards en diferentes herramientas de BI: Looker, PowerBI y SAP BO +Liderarás la automatización y simplificación del reporting mensual financiero a través de PowerBI +Realizarás análisis complejos para permitir la toma de decisiones basada en datos +Sintetizarás los datos procedentes de múltiples fuentes y desarrollar hipótesis +Proporcionarás ideas clave, recomendaciones y presentarlas a los diferentes interlocutores + + +¿QUÉ ESPERAMOS DE TI? + + +Master en Ingeniería, ADE, Estadística o Matemáticas +Experiencia mínima de 1-2 años en Análisis de datos, consultoría de BI o consultoría de negocio +Conocimientos en SQL, herramientas de BI y lenguajes de programación +Dominio de Excel +Buscamos personas con Learning Agility, influyentes, analíticas, rigurosas, con buenas dotes de comunicación, capacidad resolutiva y altamente orientada a cliente interno & negocio +Orientación a negocio y mentalidad resolutiva: capacidad de analizar, interpretar, sintetizar y comunicar impactos y tendencias a través de los datos + + +¿QUÉ NOS HACE ESPECIALES? + + +Horario Flexible (entrada de 8h a 9h30 y salida de 17h a 18h30), jornada intensiva los viernes (de 8h a 9h hasta las 14h / 15h) y mayoría de vigilias de festivos +Posibilidad de Teletrabajo +Descuento en todas nuestras líneas (Woman, Man, Kids, Teen & Home) además de un Market de muestrario para renovar tu armario dos veces al año +Servicio de comedor y cocina en las instalaciones de central. La empresa subvenciona parte del menú diario, así como los artículos de cafetería +Retribución flexible con ventajas fiscales: seguro médico, formación, descuento comedor, guarderías etc. +Transporte gratuito de empresa desde Barcelona y el Vallés +Oportunidades constantes de desarrollo con retos muy variados que generan aprendizaje en el puesto de trabajo y cursos específicos en función de tus necesidades +Workshops, meetups, comunidades de prácticas, team buildings y company meetings sobre transformación digital, moda y actividades de nuestros equipos +Servicio médico propio, servicio de fisioterapia una vez a la semana, sala de fitness y vestuarios en nuestras oficinas centrales +Formarás parte de una empresa líder en el sector de la moda, dinámica, en plena innovación, con gran concienciación y realizando acciones hacia la sostenibilidad con un ambiente de trabajo cercano, inspirador y ambicioso + + +You got it? + +We like you! +Show more ","
+ + + + + +
+
+ En Mango inspiramos y unimos mediante nuestra pasión por el estilo y la cultura. Estamos en más de 115 países y nuestra presencia online se extiende a más de 110 países. Nuestro equipo está formado por personas de 112 nacionalidades y en un 78% por mujeres.

Buscamos un/a

DATA ANALYST - CONTROLLING

¿CÓMO SERIA TU DÍA A DÍA EN MANGO?

Para formar parte de nuestro equipo de Reporting dentro del departamento de Control de gestión buscamos un/a Data Analyst.

Participarás en proyectos con el objetivo de simplificar el acceso a la información, generar valor con los datos y capacitar a los usuarios de herramientas para acelerar la toma de decisiones.

Funciones

  • Participarás en proyectos con el objetivo de simplificar el acceso a la información, generar valor con los datos y capacitar a los usuarios de herramientas para acelerar la toma de decisiones
  • Crearás una red de contactos multidisciplinares en la organización para garantizar el éxito de los proyectos
  • Darás soporte en la elaboración y análisis del reporting mensual financiero
  • Darás soporte en la creación y mantenimiento de dashboards en diferentes herramientas de BI: Looker, PowerBI y SAP BO
  • Liderarás la automatización y simplificación del reporting mensual financiero a través de PowerBI
  • Realizarás análisis complejos para permitir la toma de decisiones basada en datos
  • Sintetizarás los datos procedentes de múltiples fuentes y desarrollar hipótesis
  • Proporcionarás ideas clave, recomendaciones y presentarlas a los diferentes interlocutores

¿QUÉ ESPERAMOS DE TI?

  • Master en Ingeniería, ADE, Estadística o Matemáticas
  • Experiencia mínima de 1-2 años en Análisis de datos, consultoría de BI o consultoría de negocio
  • Conocimientos en SQL, herramientas de BI y lenguajes de programación
  • Dominio de Excel
  • Buscamos personas con Learning Agility, influyentes, analíticas, rigurosas, con buenas dotes de comunicación, capacidad resolutiva y altamente orientada a cliente interno & negocio
  • Orientación a negocio y mentalidad resolutiva: capacidad de analizar, interpretar, sintetizar y comunicar impactos y tendencias a través de los datos

¿QUÉ NOS HACE ESPECIALES?

  • Horario Flexible (entrada de 8h a 9h30 y salida de 17h a 18h30), jornada intensiva los viernes (de 8h a 9h hasta las 14h / 15h) y mayoría de vigilias de festivos
  • Posibilidad de Teletrabajo
  • Descuento en todas nuestras líneas (Woman, Man, Kids, Teen & Home) además de un Market de muestrario para renovar tu armario dos veces al año
  • Servicio de comedor y cocina en las instalaciones de central. La empresa subvenciona parte del menú diario, así como los artículos de cafetería
  • Retribución flexible con ventajas fiscales: seguro médico, formación, descuento comedor, guarderías etc.
  • Transporte gratuito de empresa desde Barcelona y el Vallés
  • Oportunidades constantes de desarrollo con retos muy variados que generan aprendizaje en el puesto de trabajo y cursos específicos en función de tus necesidades
  • Workshops, meetups, comunidades de prácticas, team buildings y company meetings sobre transformación digital, moda y actividades de nuestros equipos
  • Servicio médico propio, servicio de fisioterapia una vez a la semana, sala de fitness y vestuarios en nuestras oficinas centrales
  • Formarás parte de una empresa líder en el sector de la moda, dinámica, en plena innovación, con gran concienciación y realizando acciones hacia la sostenibilidad con un ambiente de trabajo cercano, inspirador y ambicioso

You got it?

We like you! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3979146879,https://es.linkedin.com/jobs/view/analista-de-datos-at-hays-3979146879?position=8&pageNum=2&refId=o2SKy%2BoIKv6pQ58876Uw6w%3D%3D&trackingId=rSt4vMuPaEYVz%2BCP4uo2ew%3D%3D&trk=public_jobs_jserp-result_search-card,Analista de datos,Hays,"Madrid, Community of Madrid, Spain","Desde HAYS estamos colaborando con una importante empresa enfocada en el sector de energías renovables y poseen activos fotovoltaicos y eólicos en España y Japón.Su negocio está enfocado en obtener oportunidades de inversión actualmente nos encontramos buscando un perfil de data analyst para incorporarse en su empresa. + + + + +Conocimientos imprescindibles: + + + + +Experiencia como analista de datos (3 años) +Experiencia avanzada con Excell +Experiencia con PowerBI y SQL. + + + + +Que ofrecemos: + + + + +Contrato indefinido con cliente final +Ubicación Madrid, presencial +Banda salarial: 35.000€ - 40.000€ + + + + + + + +Si estás interesado en un cambio no dudes en aplicar a la oferta para comentarte más detalles! + +Show more ","
+ + + + + +
+
+

Desde HAYS estamos colaborando con una importante empresa enfocada en el sector de energías renovables y poseen activos fotovoltaicos y eólicos en España y Japón.Su negocio está enfocado en obtener oportunidades de inversión actualmente nos encontramos buscando un perfil de data analyst para incorporarse en su empresa.


Conocimientos imprescindibles:


  • Experiencia como analista de datos (3 años)
  • Experiencia avanzada con Excell
  • Experiencia con PowerBI y SQL.


Que ofrecemos:


  • Contrato indefinido con cliente final
  • Ubicación Madrid, presencial
  • Banda salarial: 35.000€ - 40.000€



Si estás interesado en un cambio no dudes en aplicar a la oferta para comentarte más detalles!

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",2024-07-23,[] +3995246313,https://lv.linkedin.com/jobs/view/business-data-analyst-at-xpate-3995246313?position=9&pageNum=2&refId=o2SKy%2BoIKv6pQ58876Uw6w%3D%3D&trackingId=ONRAzB550AzeJikPLo3%2B6Q%3D%3D&trk=public_jobs_jserp-result_search-card,Business Data Analyst,xpate,"Riga, Riga, Latvia","At xpate we're a small, agile team dedicated to simplifying and enhancing the way merchants and consumers connect globally. We are the Cashflow Champions that enable companies to accelerate their growth. As a startup, every member of our team plays a critical role in shaping our journey and success and today we are looking for a Business Data Analyst. + +Responsibilities: + + +Contribute to the development and refinement of the pricing engine to support dynamic pricing strategies and improve profitability +Continuously evaluate and improve financial systems to support operational excellence and business growth +Develop financial models, conduct benchmarking, and analyze processes to identify cost-reduction opportunities and improve profitability +Collaborate with cross-functional teams to understand business drivers, provide data-backed insights, and support informed decision-making +Automate and enhance analytics by setting up ETL processes, building and improving dashboards in BI tools +Gather and refine business requirements, translating them into detailed technical tasks, and communicate with the IT team for implementation + + +Qualifications: + + +Strong experience in writing queries in SQL +Proven work experience as a Data Analyst or in a similar role, with expertise in building content using BI tools (e.g., Tableau, Power BI) +Experience in the payment industry or education in a related field would be an advantage +An understanding of accounting principles, along with the ability to demonstrate creative thinking and a passion for data, data analysis is a plus +Strong attention to detail and thoroughness in work +Willingness to acquire additional technical skills to enhance work efficiency +Fluent communication in English, both verbally and in writing +Hands-on experience with AI technologies or a passion for exploring AI tools will give you a significant edge + + +What's in it for you: + + +A dynamic, ambitious work environment that values innovation, performance, and quality +A competitive monthly gross compensation package starting at 3500 EUR (depending on your experience and competencies) +Supportive and caring leadership +Stack of work equipment from Apple as our hardware of choice +Extra 3 paid days off per quarter for personal time & sick days to boost productivity +Birthday off. You can take this day off on your birthday (of course) or on any other day on your birthday month +A modern, fully equipped office in the Riga city center with an in-house canteen, chill area, drink, snack bar for refreshing breaks at work +Private health insurance +Flexible working hours and a hybrid work model +Corporate events and fun activities + + +We've got more benefits in the pipeline, as we are just beginning. + +You will get a high degree of collaboration and autonomy while working with a group of peers who have getting things done attitude. If you want to get a feeling of being valued at work and the opportunity to leave a footprint on an exciting fintech product that brings value to its customers, feel free to join the xpate team! + +Powered by JazzHR + +Jj24BFeOss +Show more ","
+ + + + + +
+
+ At xpate we're a small, agile team dedicated to simplifying and enhancing the way merchants and consumers connect globally. We are the Cashflow Champions that enable companies to accelerate their growth. As a startup, every member of our team plays a critical role in shaping our journey and success and today we are looking for a Business Data Analyst.

Responsibilities:

  • Contribute to the development and refinement of the pricing engine to support dynamic pricing strategies and improve profitability
  • Continuously evaluate and improve financial systems to support operational excellence and business growth
  • Develop financial models, conduct benchmarking, and analyze processes to identify cost-reduction opportunities and improve profitability
  • Collaborate with cross-functional teams to understand business drivers, provide data-backed insights, and support informed decision-making
  • Automate and enhance analytics by setting up ETL processes, building and improving dashboards in BI tools
  • Gather and refine business requirements, translating them into detailed technical tasks, and communicate with the IT team for implementation

Qualifications:

  • Strong experience in writing queries in SQL
  • Proven work experience as a Data Analyst or in a similar role, with expertise in building content using BI tools (e.g., Tableau, Power BI)
  • Experience in the payment industry or education in a related field would be an advantage
  • An understanding of accounting principles, along with the ability to demonstrate creative thinking and a passion for data, data analysis is a plus
  • Strong attention to detail and thoroughness in work
  • Willingness to acquire additional technical skills to enhance work efficiency
  • Fluent communication in English, both verbally and in writing
  • Hands-on experience with AI technologies or a passion for exploring AI tools will give you a significant edge

What's in it for you:

  • A dynamic, ambitious work environment that values innovation, performance, and quality
  • A competitive monthly gross compensation package starting at 3500 EUR (depending on your experience and competencies)
  • Supportive and caring leadership
  • Stack of work equipment from Apple as our hardware of choice
  • Extra 3 paid days off per quarter for personal time & sick days to boost productivity
  • Birthday off. You can take this day off on your birthday (of course) or on any other day on your birthday month
  • A modern, fully equipped office in the Riga city center with an in-house canteen, chill area, drink, snack bar for refreshing breaks at work
  • Private health insurance
  • Flexible working hours and a hybrid work model
  • Corporate events and fun activities

We've got more benefits in the pipeline, as we are just beginning.

You will get a high degree of collaboration and autonomy while working with a group of peers who have getting things done attitude. If you want to get a feeling of being valued at work and the opportunity to leave a footprint on an exciting fintech product that brings value to its customers, feel free to join the xpate team!

Powered by JazzHR

Jj24BFeOss +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3982048632,https://lt.linkedin.com/jobs/view/data-analyst-at-nord-security-3982048632?position=10&pageNum=2&refId=o2SKy%2BoIKv6pQ58876Uw6w%3D%3D&trackingId=SdlH0FW%2BzE5aYL8I6P5xgQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Nord Security,"Vilnius, Vilniaus, Lithuania","The Marketing department aims to encourage the world to be as enthusiastic about our products as we are. We have more than twenty different teams with specific areas of focus. Our teams are sharp, highly skilled, and data-driven, focusing on customer acquisition and monetization initiatives. + +Main Responsibilities + + +Work mainly on SEO and Paid channels data; +Help to define and calculate KPIs and key metrics for the teams, monitor them in automated reports and dashboards; +Analyse users and product to find new business opportunities and areas for improvement; +Execute ad-hoc analyses; +Present insights to SEO, Paid teams; +Build, support and replicate data structures (including database structures, table building, reporting, data visualization, regression analysis, time series, etc.) + + + + + +Core Requirements + + +Experience in e-commerce, SaaS or digital marketing environment; +Solid understanding and experience of SQL (Google BigQuery as an advantage) and Python or R (for data modeling and general development); +Strong communication skills, a proactive approach, analytical problem-solving abilities, and a collaborative mindset, being an effective and versatile team player; +Experience with Google Analytics; +Proven experience with various data visualization and statistical analysis methods; +Experience with a/b testing analysis is a plus + + + + + +Salary Range + + + +Gross Salary 2980-4300 EUR/Month + + + + + +About Us +Nord Security is a global leader in internet privacy and security solutions and Lithuania’s second tech unicorn. Established in 2012, Nord Security now has more than 1400 employees and serves millions of users worldwide. Our team has a global mission to shape a more secure and peaceful online future for people everywhere. With that in mind, we built several advanced cybersecurity solutions: NordVPN, NordLayer, NordLocker, NordPass, NordProtect, NordStellar, and Saily. + +NordVPN is the world’s most advanced VPN service provider, used by millions of internet users worldwide. NordVPN provides double VPN encryption and Onion Over VPN and guarantees privacy with zero tracking. One of the key features of the product is Threat Protection, which blocks malicious websites, malware, trackers, and ads. NordVPN is very user friendly, offers one of the best prices on the market, and has over 5,000 servers in 59 countries worldwide. + +And we’re always looking to expand our team of: + + + +Future shapers +Restless achievers +Self-movers +Honest communicators +Team players + + + + + +What We Offer + + +Access to Nord Security products. We build solutions used by millions of users worldwide, and you’ll get to experience our products firsthand; +Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential; +Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best; +Mental wellbeing. Access to mental health tools like Calm, Headspace, and Mindletic. Options for therapy to keep your emotional wellbeing in check; +Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us; +More free time. Stay with us and additional vacation days will be added to your calendar; +Additional paid leave. Additional days are covered by us in cases of illness or special occasions; +Flexibility. Flexible working time arrangement + + + + + +Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes: https://bit.ly/3urJdOL +Show more ","
+ + + + + +
+
+ The Marketing department aims to encourage the world to be as enthusiastic about our products as we are. We have more than twenty different teams with specific areas of focus. Our teams are sharp, highly skilled, and data-driven, focusing on customer acquisition and monetization initiatives.

Main Responsibilities

  • Work mainly on SEO and Paid channels data;
  • Help to define and calculate KPIs and key metrics for the teams, monitor them in automated reports and dashboards;
  • Analyse users and product to find new business opportunities and areas for improvement;
  • Execute ad-hoc analyses;
  • Present insights to SEO, Paid teams;
  • Build, support and replicate data structures (including database structures, table building, reporting, data visualization, regression analysis, time series, etc.)




Core Requirements

  • Experience in e-commerce, SaaS or digital marketing environment;
  • Solid understanding and experience of SQL (Google BigQuery as an advantage) and Python or R (for data modeling and general development);
  • Strong communication skills, a proactive approach, analytical problem-solving abilities, and a collaborative mindset, being an effective and versatile team player;
  • Experience with Google Analytics;
  • Proven experience with various data visualization and statistical analysis methods;
  • Experience with a/b testing analysis is a plus




Salary Range


  • Gross Salary 2980-4300 EUR/Month




About Us
Nord Security is a global leader in internet privacy and security solutions and Lithuania’s second tech unicorn. Established in 2012, Nord Security now has more than 1400 employees and serves millions of users worldwide. Our team has a global mission to shape a more secure and peaceful online future for people everywhere. With that in mind, we built several advanced cybersecurity solutions: NordVPN, NordLayer, NordLocker, NordPass, NordProtect, NordStellar, and Saily.

NordVPN is the world’s most advanced VPN service provider, used by millions of internet users worldwide. NordVPN provides double VPN encryption and Onion Over VPN and guarantees privacy with zero tracking. One of the key features of the product is Threat Protection, which blocks malicious websites, malware, trackers, and ads. NordVPN is very user friendly, offers one of the best prices on the market, and has over 5,000 servers in 59 countries worldwide.

And we’re always looking to expand our team of:


  • Future shapers
  • Restless achievers
  • Self-movers
  • Honest communicators
  • Team players




What We Offer

  • Access to Nord Security products. We build solutions used by millions of users worldwide, and you’ll get to experience our products firsthand;
  • Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential;
  • Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best;
  • Mental wellbeing. Access to mental health tools like Calm, Headspace, and Mindletic. Options for therapy to keep your emotional wellbeing in check;
  • Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us;
  • More free time. Stay with us and additional vacation days will be added to your calendar;
  • Additional paid leave. Additional days are covered by us in cases of illness or special occasions;
  • Flexibility. Flexible working time arrangement




Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes: https://bit.ly/3urJdOL +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3986412431,https://pt.linkedin.com/jobs/view/data-analyst-at-celfocus-3986412431?position=1&pageNum=5&refId=jBMQwvXbAVy45dlXqYPegg%3D%3D&trackingId=BwIjkt%2BHnrlD%2BfICwQn52A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Celfocus,"Lisbon, Lisbon, Portugal"," + +Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative. + +Be part of the team that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients. + +Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity. + +About The Role + +Data Analyst is responsible for examining and interpreting complex data sets to derive meaningful insights and support business decision-making. Focused on descriptive and diagnostic analytics to answer questions of where your company has been, where it is now, why things are the way they are now, and support the decision about what are the next steps. + +Their mission involves organizing data, conducting statistical analysis, creating data models, and collecting data requirements from Businesses. + +Data analysts collaborate with different teams to understand their analytical requirements, identify key metrics, and communicate data-driven findings to stakeholders effectively. + +As a part of your job, you will: + + +Gathering and analyzing business requirements to determine the best solution for data reporting and analysis; +Designing data solutions such as data warehousing, data marts, dashboards, and reporting systems; +Developing and maintaining data models, reports, and visualizations; +Collaborating with IT teams to ensure proper data integration and management; +Assisting stakeholders in interpreting data insights and making informed business decisions. + + + +What are we looking for? + + +Proficiency in SQL for data querying and analysis; +Experience with data visualization tools (e.g., Tableau, Power BI, or matplotlib); +Knowledge of statistical analysis techniques and tools (e.g., R, Python libraries like pandas); +Ability to interpret and analyze complex data sets; +Familiarity with data cleansing and preparation techniques. + + + +Personal traits: + +Ability to adapt to different contexts, teams and Clients + +Teamwork skills but also sense of autonomy + +Motivation for international projects and ok if travel is included + +Willingness to collaborate with other players + +Strong communication skills + +We want people who like to roll up their sleeves and open their minds. Believe this is you? Come join the Team! + +Celfocus is a European high-tech system integrator, providing professional services focused on creating business value through Analytics and Cognitive solutions – addressing Telecommunications, Energy & Utilities, Financial Services and other markets' strategic opportunities. + +Serving Clients in 25+ countries, Celfocus delivers solutions such as accelerating digital network transformation in Autonomous Networks, elevating and monetising business services in B2B2x ecosystems, and providing highly relevant customer experiences through Hyper-personalisation solutions. +Show more ","
+ + + + + +
+
+

Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative.

Be part of the team that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.

Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity.

About The Role

Data Analyst is responsible for examining and interpreting complex data sets to derive meaningful insights and support business decision-making. Focused on descriptive and diagnostic analytics to answer questions of where your company has been, where it is now, why things are the way they are now, and support the decision about what are the next steps.

Their mission involves organizing data, conducting statistical analysis, creating data models, and collecting data requirements from Businesses.

Data analysts collaborate with different teams to understand their analytical requirements, identify key metrics, and communicate data-driven findings to stakeholders effectively.

As a part of your job, you will:

  • Gathering and analyzing business requirements to determine the best solution for data reporting and analysis;
  • Designing data solutions such as data warehousing, data marts, dashboards, and reporting systems;
  • Developing and maintaining data models, reports, and visualizations;
  • Collaborating with IT teams to ensure proper data integration and management;
  • Assisting stakeholders in interpreting data insights and making informed business decisions.


What are we looking for?

  • Proficiency in SQL for data querying and analysis;
  • Experience with data visualization tools (e.g., Tableau, Power BI, or matplotlib);
  • Knowledge of statistical analysis techniques and tools (e.g., R, Python libraries like pandas);
  • Ability to interpret and analyze complex data sets;
  • Familiarity with data cleansing and preparation techniques.


Personal traits:

Ability to adapt to different contexts, teams and Clients

Teamwork skills but also sense of autonomy

Motivation for international projects and ok if travel is included

Willingness to collaborate with other players

Strong communication skills

We want people who like to roll up their sleeves and open their minds. Believe this is you? Come join the Team!

Celfocus is a European high-tech system integrator, providing professional services focused on creating business value through Analytics and Cognitive solutions – addressing Telecommunications, Energy & Utilities, Financial Services and other markets' strategic opportunities.

Serving Clients in 25+ countries, Celfocus delivers solutions such as accelerating digital network transformation in Autonomous Networks, elevating and monetising business services in B2B2x ecosystems, and providing highly relevant customer experiences through Hyper-personalisation solutions. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3987049375,https://pt.linkedin.com/jobs/view/data-analyst-at-decskill-3987049375?position=3&pageNum=5&refId=jBMQwvXbAVy45dlXqYPegg%3D%3D&trackingId=n0Buk2DY61gqRMn807Z8aQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,Decskill,Porto Metropolitan Area,"Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas: + + + + +Decskill Talent: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth. + + + + +Decskill Boost: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations. + + + + +Decskill Connect: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value. + + + + +At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress. + + + + +We are looking for a Data Analyst for a project based in Porto (hybrid - twice a week at the office). + + + + +Requirements: + +BS/MS Degree in Computer Engineering, Computer Science, Applied Math or a similar area; +Experience in data workflow creation (data preparation and data reconciliation) in Alteryx or similar data analytics tools (for example Dataiku, Knime, etc.); +Experience with Business Intelligence - Data visualization tools, mainly Power BI; +Experience to develop and maintain Power Apps and Power Automate solutions; +Good knowledge about SQL; +Fluent English (mandatory). + + + + +If you’re interested in this job please send your CV in English to catarina.sa@decskill.com with reference “CS/Data_Analyst”. + + + + +Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being. + +Show more ","
+ + + + + +
+
+

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas:


Decskill Talent: We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth.


Decskill Boost: Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations.


Decskill Connect: Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value.


At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress.


We are looking for a Data Analyst for a project based in Porto (hybrid - twice a week at the office).


Requirements:

  • BS/MS Degree in Computer Engineering, Computer Science, Applied Math or a similar area;
  • Experience in data workflow creation (data preparation and data reconciliation) in Alteryx or similar data analytics tools (for example Dataiku, Knime, etc.);
  • Experience with Business Intelligence - Data visualization tools, mainly Power BI;
  • Experience to develop and maintain Power Apps and Power Automate solutions;
  • Good knowledge about SQL;
  • Fluent English (mandatory).


If you’re interested in this job please send your CV in English to catarina.sa@decskill.com with reference “CS/Data_Analyst”.


Decskill is committed to equality and non-discrimination with all our talents. We recruit and promote talent, based on diversity and inclusion, regardless of age, gender, ethnicity, race, nationality or any other form of discrimination incompatible with the dignity of the human being.

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",2024-07-29,[] +3993462878,https://it.linkedin.com/jobs/view/data-analyst-internship-at-santander-italia-3993462878?position=4&pageNum=5&refId=jBMQwvXbAVy45dlXqYPegg%3D%3D&trackingId=Z%2FF%2F1lzGMcgy2C6WWqTVLw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst Internship,Santander - Italia,"Turin, Piedmont, Italy","Siamo una realtà internazionale che è tra i gruppi finanziari più grandi al mondo. Santander Italia è infatti parte del solido Gruppo bancario Santander, che ha oltre 200.000 dipendenti, circa 157 milioni di clienti e 4 milioni di azionisti. + +Le persone sono al centro del nostro lavoro ed è per questo che offriamo un'ampia gamma di servizi finanziari per le esigenze di ognuno: prestiti personali richiedibili anche online, cessione del quinto, trattamento di fine servizio, leasing e conti deposito. + + + + +Anche al nostro interno poniamo grande attenzione alle persone perché ogni giorno diamo valore e spazio alla collaborazione, all’entusiasmo e allo sviluppo professionale. + +Proprio per questo Great Place to Work ci ha riconosciuti come una delle migliori aziende italiane per le eccellenti condizioni di lavoro. + + + + +Nell'innovativo Palazzo Santander di Torino, il profilo ricercato in stage darà supporto all’interno della nostra Direzione Collection Business Unit per le seguenti attività: + + + + +Analisi dei report finanziari e qualitativi; +Analisi dell’informazioni con lo scopo di implementare cambiamenti strategici di attività di recupero +Gestione delle richieste da parte fornitori esterni e da parte di altri uffici/direzioni della Banca; +Promuovere iniziative, progetti e best practice utili al miglioramento delle attività; +Supporto vendita NPL e gestione richieste Buyer post cessione; +Monitoraggio processo Repossession. + + + + + + + +Requisiti richiesti: + +Laurea in discipline economiche/ingegneria gestionale; +Conoscenza di Excel e PowerPoint con plus su Access; +Buon livello di lingua inglese; +Spiccata capacità analitica e orientamento al risultato; +Capacità di lavorare in team; +Problem Solving; +Affidabilità, flessibilità e dinamismo. + + + + +Modalità di lavoro: in presenza. + +Sede lavorativa: Torino. + + + + +Come Banca, abbiamo una forte cultura del rischio e ci aspettiamo che tutti i nostri professionisti siano proattivi e responsabili nella gestione dei rischi. + + + + +Qualora l’annuncio sia di tuo interesse, non esitare a candidarti! Santander Consumer Bank S.p.A. promuove i principi di parità di trattamento e di divieto di discriminazione sul luogo di lavoro in applicazione del D.Lgs. 198/2006, del D.Lgs. 215/2003 e del D.Lgs. 216/2003. + +Show more ","
+ + + + + +
+
+

Siamo una realtà internazionale che è tra i gruppi finanziari più grandi al mondo. Santander Italia è infatti parte del solido Gruppo bancario Santander, che ha oltre 200.000 dipendenti, circa 157 milioni di clienti e 4 milioni di azionisti.

Le persone sono al centro del nostro lavoro ed è per questo che offriamo un'ampia gamma di servizi finanziari per le esigenze di ognuno: prestiti personali richiedibili anche online, cessione del quinto, trattamento di fine servizio, leasing e conti deposito.


Anche al nostro interno poniamo grande attenzione alle persone perché ogni giorno diamo valore e spazio alla collaborazione, all’entusiasmo e allo sviluppo professionale.

Proprio per questo Great Place to Work ci ha riconosciuti come una delle migliori aziende italiane per le eccellenti condizioni di lavoro.


Nell'innovativo Palazzo Santander di Torino, il profilo ricercato in stage darà supporto all’interno della nostra Direzione Collection Business Unit per le seguenti attività:


  • Analisi dei report finanziari e qualitativi;
  • Analisi dell’informazioni con lo scopo di implementare cambiamenti strategici di attività di recupero
  • Gestione delle richieste da parte fornitori esterni e da parte di altri uffici/direzioni della Banca;
  • Promuovere iniziative, progetti e best practice utili al miglioramento delle attività;
  • Supporto vendita NPL e gestione richieste Buyer post cessione;
  • Monitoraggio processo Repossession.



Requisiti richiesti:

  • Laurea in discipline economiche/ingegneria gestionale;
  • Conoscenza di Excel e PowerPoint con plus su Access;
  • Buon livello di lingua inglese;
  • Spiccata capacità analitica e orientamento al risultato;
  • Capacità di lavorare in team;
  • Problem Solving;
  • Affidabilità, flessibilità e dinamismo.


Modalità di lavoro: in presenza.

Sede lavorativa: Torino.


Come Banca, abbiamo una forte cultura del rischio e ci aspettiamo che tutti i nostri professionisti siano proattivi e responsabili nella gestione dei rischi.


Qualora l’annuncio sia di tuo interesse, non esitare a candidarti! Santander Consumer Bank S.p.A. promuove i principi di parità di trattamento e di divieto di discriminazione sul luogo di lavoro in applicazione del D.Lgs. 198/2006, del D.Lgs. 215/2003 e del D.Lgs. 216/2003.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3986543255,https://es.linkedin.com/jobs/view/data-analyst-at-innoit-consulting-3986543255?position=8&pageNum=5&refId=jBMQwvXbAVy45dlXqYPegg%3D%3D&trackingId=qFdFLpuZHt%2FAGtZBedF2dA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst,InnoIT Consulting,"Barcelona, Catalonia, Spain","🌐 Híbrido - EVALUAREMOS SOLO PROFESIONALES DE BARCELONA + +⌛ Tiempo completo + +👨‍💻 Nivel Medio + + + + +Sobre INNOIT + +En INNOIT, nos especializamos en la gestión de carreras profesionales en el ámbito de la tecnología de la información. Somos una consultora tecnológica y digital con sede en España, contamos con un equipo de más de 200 profesionales del sector y llevamos más de seis años participando en la transformación digital de destacadas empresas a nivel nacional e internacional. + + + + +✍️Responsabilidades: + +Comprender los problemas del día a día a los que se enfrenta el negocio. +Recopilar y analizar datos relacionados con diferentes temas del negocio. +Analizar datos de diferentes sitios de la empresa para obtener la información necesaria. +Desarrollar visualizaciones claras para transmitir datos complejos a una manera sencilla. + + + + +👍Tu perfil: + ++3 años de experiencia en análisis de datos. ++3 años de experiencia en Python y SQL. ++2 años de experiencia en Power BI. +Persona colaborativa para trabajar eficazmente con equipos multifuncionales en un entorno ágil. Su busca una persona organizad y con buena capacidad de gestión del tiempo. +Castellano e inglés oral alto + + + + +🚀 Lo que te ofrecemos: + +⏱ Horarios flexibles + +💰 Salario competitivo + retribución flexible + +🩺 Seguro médico + +🎓 Formaciones técnicas y no técnicas + +📚 Cursos de idiomas + +🤓 Comunidades tecnológicas + +🔄 Seguimiento continuo + +🚀 Trayectoria profesional + + + + +Únete al equipo InnoIT, desarrolla tu talento en IT, aprende, crea y diviértete! + + + + +Te estamos esperando 😊así que si quieres saberlo todo, ¡contactanos ya! + + + + +Si quieres conocernos más, puedes visitar nuestra web y nuestra app de Meetup: + +www.inno-it.es: + +https://www.inno-it.es/ + + + + +Meetup de InnoIT Consulting en Barcelona: + +https://www.meetup.com/es-ES/Meetup-de-InnoIT-Consulting-en-Barcelona/?_locale=es-ES + + + + +Meetup de InnoIT Consulting en Madrid: + +https://www.meetup.com/es-ES/meetup-de-innoit-consulting-en-madrid/ + +Show more ","
+ + + + + +
+
+

🌐 Híbrido - EVALUAREMOS SOLO PROFESIONALES DE BARCELONA

⌛ Tiempo completo

👨‍💻 Nivel Medio


Sobre INNOIT

En INNOIT, nos especializamos en la gestión de carreras profesionales en el ámbito de la tecnología de la información. Somos una consultora tecnológica y digital con sede en España, contamos con un equipo de más de 200 profesionales del sector y llevamos más de seis años participando en la transformación digital de destacadas empresas a nivel nacional e internacional.


✍️Responsabilidades:

  • Comprender los problemas del día a día a los que se enfrenta el negocio.
  • Recopilar y analizar datos relacionados con diferentes temas del negocio.
  • Analizar datos de diferentes sitios de la empresa para obtener la información necesaria.
  • Desarrollar visualizaciones claras para transmitir datos complejos a una manera sencilla.


👍Tu perfil:

  • +3 años de experiencia en análisis de datos.
  • +3 años de experiencia en Python y SQL.
  • +2 años de experiencia en Power BI.
  • Persona colaborativa para trabajar eficazmente con equipos multifuncionales en un entorno ágil. Su busca una persona organizad y con buena capacidad de gestión del tiempo.
  • Castellano e inglés oral alto


🚀 Lo que te ofrecemos:

⏱ Horarios flexibles

💰 Salario competitivo + retribución flexible

🩺 Seguro médico

🎓 Formaciones técnicas y no técnicas

📚 Cursos de idiomas

🤓 Comunidades tecnológicas

🔄 Seguimiento continuo

🚀 Trayectoria profesional


Únete al equipo InnoIT, desarrolla tu talento en IT, aprende, crea y diviértete!


Te estamos esperando 😊así que si quieres saberlo todo, ¡contactanos ya!


Si quieres conocernos más, puedes visitar nuestra web y nuestra app de Meetup:

www.inno-it.es:

https://www.inno-it.es/


Meetup de InnoIT Consulting en Barcelona:

https://www.meetup.com/es-ES/Meetup-de-InnoIT-Consulting-en-Barcelona/?_locale=es-ES


Meetup de InnoIT Consulting en Madrid:

https://www.meetup.com/es-ES/meetup-de-innoit-consulting-en-madrid/

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3995250432,https://se.linkedin.com/jobs/view/data-analyst-to-h-m-%E2%80%93-supply-planning-at-h-m-group-3995250432?position=9&pageNum=5&refId=jBMQwvXbAVy45dlXqYPegg%3D%3D&trackingId=L1SK2r30s0vsKyepKyB%2BdQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst to H&M – Supply Planning,H&M Group,"Stockholm, Stockholm County, Sweden","Company Description + +H&M is a workplace where you’ll join a global fashion family that combines teamwork with individual expression and gives you the challenges and opportunities that can help you learn, grow, and succeed. We believe that it’s when you mix and match different talents, experiences, and styles that the real magic happens. That’s why our teams are built with different personalities, talents and people from all kinds of backgrounds. If you are willing to learn, grow and help our customers and your colleagues, H&M will always be a place for you to both express your individuality and feel like you belong. We also believe that you can’t change the world without great people on your side. So, we offer all our employee’s generous benefits, lots of learning opportunities and the possibility to start building a more long-term career. Bring your whole personality to work, stay as long as you want, and grow more than you ever thought was possible. Be yourself & more at H&M. + +The advertised role is the unit of Supply Planning which is part of the Supply Chain function. The mission of the Supply Planning unit is to enable Region and Business units to maximize the value of availability, lead-time, cost, and inventory in a sustainable way. We do this by leading the development, implementation and follow up of supply planning strategies, processes, and technology.  + +Job Description + +Are you interested working with data analytics in the field of supply planning in the ever-evolving fashion retail and e-commerce industry? This is a unique opportunity to nurture your analytical side working with big data to provide insights that will lead our area in their decision making. We want to release the power of people and believe the best ideas evolve when great minds with different perspectives meet. We believe in our people, and always encourage new ideas and initiatives. + +The role + +We are recruiting for two data analyst vacancies, one in the in-season stock management field and one in the end-to-end enablers field of our Supply Planning Unit. In both roles you will work as a key enabler to secure realization of business and customer value from analytics, data and modelling of our supply planning capabilities and logics within our logistical network. You have a strong supply chain focus, a commercial mindset and innate curiosity, you keep the customer at heart, and you love making data talk! At H&M Supply Planning you will get the opportunity to work in a large data analyst community and in an organization, which heavily relies on making data driven decisions. We have over 1 billion customers with 130 million members in 70 different markets along with 8 unique brands in a fast-paced retail industry. + +Some of your main responsibilities & tasks will include: + + +Be the driver for data driven decision making in your initiative/product team by taking data into insights and provide the team with clear, data driven recommendations. +Apply advanced analytics and tools to model, execute and follow up initiatives from idea to industrialization. +Use SQL and potentially further programming languages to gather, clean and prepare data for analysis. +Define and set up measurable KPI’s and OKRs, own and maintain their visualization for value reporting. +Be the go-to person in your product team/initiative for data and analytics knowledge. +Work as a part of an agile organization to support product development and support building business cases to showcase the value of new undertakings. +Participate in the wider analytics community, both within Supply Planning and the wider H&M group! + + + +Qualifications + +Just like everyone at H&M, we believe you are a business-minded, open, communicative, and ambitious team player full of drive and optimism. You have a robust analytical ability with an eye for change and improvement opportunities. + + +Academic degree within Economics, Business, Supply Chain, Mathematics, Engineering, or similar +Previous experience within supply chain, retail, fashion, or tech product driven companies preferred. +Profound work experience in the field of analytics related to product/business development. +Ability to define, align and confidently lead analytical assignments with the strategic goals of the business. +Confidently working with analytical programming languages such as SQL, Python, or R +Experience in working with data visualization tools e.g., Power BI, Looker +Understanding of using numerical, statistical, and analytical methods to apply to data processing. +Demonstrated ability to analyze large amounts of data into clear insights. +Ability to work with multiple stakeholders across different competences (Product Mgrs., Software Engineers, etc.) +Strong communication and storytelling skills and ability to communicate and explain data and its implications to various stakeholders . +Be comfortable with working within a large matrix organization. +Analytical mindset with strong problem-solving skills. +Experience and/or interest in technical product development. + + + +Additional Information + +This is a full time position based in Stockholm. If you believe you will bring value to this role and want to join our fantastic team, please upload your CV (in English) as soon as possible. Responsible recruiter is Sarah Assem. We look forward to receiving your application! + +H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age. +Show more ","
+ + + + + +
+
+ Company Description

H&M is a workplace where you’ll join a global fashion family that combines teamwork with individual expression and gives you the challenges and opportunities that can help you learn, grow, and succeed. We believe that it’s when you mix and match different talents, experiences, and styles that the real magic happens. That’s why our teams are built with different personalities, talents and people from all kinds of backgrounds. If you are willing to learn, grow and help our customers and your colleagues, H&M will always be a place for you to both express your individuality and feel like you belong. We also believe that you can’t change the world without great people on your side. So, we offer all our employee’s generous benefits, lots of learning opportunities and the possibility to start building a more long-term career. Bring your whole personality to work, stay as long as you want, and grow more than you ever thought was possible. Be yourself & more at H&M.

The advertised role is the unit of Supply Planning which is part of the Supply Chain function. The mission of the Supply Planning unit is to enable Region and Business units to maximize the value of availability, lead-time, cost, and inventory in a sustainable way. We do this by leading the development, implementation and follow up of supply planning strategies, processes, and technology. 

Job Description

Are you interested working with data analytics in the field of supply planning in the ever-evolving fashion retail and e-commerce industry? This is a unique opportunity to nurture your analytical side working with big data to provide insights that will lead our area in their decision making. We want to release the power of people and believe the best ideas evolve when great minds with different perspectives meet. We believe in our people, and always encourage new ideas and initiatives.

The role

We are recruiting for two data analyst vacancies, one in the in-season stock management field and one in the end-to-end enablers field of our Supply Planning Unit. In both roles you will work as a key enabler to secure realization of business and customer value from analytics, data and modelling of our supply planning capabilities and logics within our logistical network. You have a strong supply chain focus, a commercial mindset and innate curiosity, you keep the customer at heart, and you love making data talk! At H&M Supply Planning you will get the opportunity to work in a large data analyst community and in an organization, which heavily relies on making data driven decisions. We have over 1 billion customers with 130 million members in 70 different markets along with 8 unique brands in a fast-paced retail industry.

Some of your main responsibilities & tasks will include:

  • Be the driver for data driven decision making in your initiative/product team by taking data into insights and provide the team with clear, data driven recommendations.
  • Apply advanced analytics and tools to model, execute and follow up initiatives from idea to industrialization.
  • Use SQL and potentially further programming languages to gather, clean and prepare data for analysis.
  • Define and set up measurable KPI’s and OKRs, own and maintain their visualization for value reporting.
  • Be the go-to person in your product team/initiative for data and analytics knowledge.
  • Work as a part of an agile organization to support product development and support building business cases to showcase the value of new undertakings.
  • Participate in the wider analytics community, both within Supply Planning and the wider H&M group!


Qualifications

Just like everyone at H&M, we believe you are a business-minded, open, communicative, and ambitious team player full of drive and optimism. You have a robust analytical ability with an eye for change and improvement opportunities.

  • Academic degree within Economics, Business, Supply Chain, Mathematics, Engineering, or similar
  • Previous experience within supply chain, retail, fashion, or tech product driven companies preferred.
  • Profound work experience in the field of analytics related to product/business development.
  • Ability to define, align and confidently lead analytical assignments with the strategic goals of the business.
  • Confidently working with analytical programming languages such as SQL, Python, or R
  • Experience in working with data visualization tools e.g., Power BI, Looker
  • Understanding of using numerical, statistical, and analytical methods to apply to data processing.
  • Demonstrated ability to analyze large amounts of data into clear insights.
  • Ability to work with multiple stakeholders across different competences (Product Mgrs., Software Engineers, etc.)
  • Strong communication and storytelling skills and ability to communicate and explain data and its implications to various stakeholders .
  • Be comfortable with working within a large matrix organization.
  • Analytical mindset with strong problem-solving skills.
  • Experience and/or interest in technical product development.


Additional Information

This is a full time position based in Stockholm. If you believe you will bring value to this role and want to join our fantastic team, please upload your CV (in English) as soon as possible. Responsible recruiter is Sarah Assem. We look forward to receiving your application!

H&M is committed to creating a Diverse & Inclusive environment and we are actively looking for qualified candidates irrespective of race, gender, gender identity, sexual orientation, ethnicity, religion, national origin, disability or age. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] diff --git a/data/data_scientist_20240810.csv b/data/data_scientist_20240810.csv new file mode 100644 index 0000000..2e1d979 --- /dev/null +++ b/data/data_scientist_20240810.csv @@ -0,0 +1,10929 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +3995432942,https://www.linkedin.com/jobs/view/data-scientist-at-skai-3995432942?position=1&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=bgOdY%2FwZC9lxQ8hJ9KZlTg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Skai,"San Francisco, CA","Skai's Data Science team is hiring! + + + + + + + +The role of the Data Science team is to build AI proof of concepts to advance the Product roadmap and empower customers to leverage Skai's suite of algorithmic products. + + + + + + + +The ideal candidate should have strong data analysis and programming skills, excellent analytical and problem solving skills, a good understanding of AI concepts, and the ability to coherently describe complex mathematical concepts to a non-technical audience. + + + + + + + +The candidate should also demonstrate a consultative approach to addressing client needs. + + + + + + + +This role will report to the in-market Data Science Lead and will be positioned in one of Skai's North America Offices (San Francisco, Chicago, New York). + + + + + + + +Responsibilities: + + + + + + + +● Build and own proof of concepts from ideation to productization, demoing solutions to clients and iterating quickly on feedback + +● Represent Skai Research in conversations with clients and partners. Advocate for our algorithmic solutions, data driven approaches and provide consultation on how to best set up and leverage Skai's optimization products. + +● Have a full understanding of Skai's optimization capabilities and relevant products, for customers and internal training and support. + +● Be part of our research team to provide both client feedback and analysis to help guide data driven decision making to advance the product roadmap. + +● Perform analysis of customer data using ML and statistical methods to provide clients with an understanding of how to read AB test results, compare attribution strategies and more. + +● Help build internal tools that allow the automation of data analysis to provide both proactive and reactive support for Skai's optimization products. + + + + + + + +Requirements: + + + + + + + +Skills/Attributes Required: + + + + + + + +● Strong analytical and problem solving capabilities. + +● Experience leveraging AI/ML/GenAI methods to solve business challenges. + +● Experience with Python. + +● SQL capabilities - experience querying data from relational DB engines. + +● Good working knowledge of statistics, modeling, and NLP. + +● Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact. + +● Strong written and verbal communication skills - be able to take complex math and analytical concepts and explain to working teams and client executives. + +● Passionate about communicating an effective data story. + +● Strong teamwork - internally with our teams as well as with clients. + +● Prior experience in the internet marketing industry is a plus. + +● Knowledge and experience in A/B testing would be a plus. + + + + + + + +Education/Experience: + + + + + + + +● BS/BA required, having an advanced degree is a plus. Ideally in a relevant field to analytics (finance, business, engineering, information systems, math, science, etc). + +● 2+ years in consulting/data science/marketing analytics roles. + + + + +The annual salary range for this position is $110,000-140,000. The actual salary will vary depending on the applicants experience, skills and abilities as well as internal equity and market data. + + + + +Equal Opportunity Employer + + + + +Skai is an Equal Opportunity Employer. At Skai, we believe ensuring a diverse, equitable, and inclusive workplace is not just an ideal to strive for; it is right, necessary, and our responsibility as humans. Our full DE&I commitment and global framework can be viewed on our company website and are aligned to our core values. We strongly encourage and seek applications from women, people of color, and bilingual and bicultural individuals, as well as members of the lesbian, gay, bisexual, and transgender communities. Applicants shall not be discriminated against because of race, religion, sex, national origin, ethnicity, age, disability, political affiliation, sexual orientation, gender identity, color, marital status, medical condition including acquired immune deficiency syndrome (AIDS) and AIDS-related conditions, or any other protected status. Also pursuant to the San Francisco Fair Chance Ordinance, we encourage and will consider for employment qualified applicants with arrest and conviction records. + + + + +Applicants with Disabilities + + + + +Reasonable accommodation will be made so that qualified disabled applicants may participate in the application process. Please advise in writing of special needs at the time of application. + + + + +Skai is an E-Verify employer. + +Show more ","
+ + + + + +
+
+

Skai's Data Science team is hiring!



The role of the Data Science team is to build AI proof of concepts to advance the Product roadmap and empower customers to leverage Skai's suite of algorithmic products.



The ideal candidate should have strong data analysis and programming skills, excellent analytical and problem solving skills, a good understanding of AI concepts, and the ability to coherently describe complex mathematical concepts to a non-technical audience.



The candidate should also demonstrate a consultative approach to addressing client needs.



This role will report to the in-market Data Science Lead and will be positioned in one of Skai's North America Offices (San Francisco, Chicago, New York).



Responsibilities:



● Build and own proof of concepts from ideation to productization, demoing solutions to clients and iterating quickly on feedback

● Represent Skai Research in conversations with clients and partners. Advocate for our algorithmic solutions, data driven approaches and provide consultation on how to best set up and leverage Skai's optimization products.

● Have a full understanding of Skai's optimization capabilities and relevant products, for customers and internal training and support.

● Be part of our research team to provide both client feedback and analysis to help guide data driven decision making to advance the product roadmap.

● Perform analysis of customer data using ML and statistical methods to provide clients with an understanding of how to read AB test results, compare attribution strategies and more.

● Help build internal tools that allow the automation of data analysis to provide both proactive and reactive support for Skai's optimization products.



Requirements:



Skills/Attributes Required:



● Strong analytical and problem solving capabilities.

● Experience leveraging AI/ML/GenAI methods to solve business challenges.

● Experience with Python.

● SQL capabilities - experience querying data from relational DB engines.

● Good working knowledge of statistics, modeling, and NLP.

● Ability to thrive in an unstructured environment, working autonomously on a strong team to find opportunity and deliver business impact.

● Strong written and verbal communication skills - be able to take complex math and analytical concepts and explain to working teams and client executives.

● Passionate about communicating an effective data story.

● Strong teamwork - internally with our teams as well as with clients.

● Prior experience in the internet marketing industry is a plus.

● Knowledge and experience in A/B testing would be a plus.



Education/Experience:



● BS/BA required, having an advanced degree is a plus. Ideally in a relevant field to analytics (finance, business, engineering, information systems, math, science, etc).

● 2+ years in consulting/data science/marketing analytics roles.


The annual salary range for this position is $110,000-140,000. The actual salary will vary depending on the applicants experience, skills and abilities as well as internal equity and market data.


Equal Opportunity Employer


Skai is an Equal Opportunity Employer. At Skai, we believe ensuring a diverse, equitable, and inclusive workplace is not just an ideal to strive for; it is right, necessary, and our responsibility as humans. Our full DE&I commitment and global framework can be viewed on our company website and are aligned to our core values. We strongly encourage and seek applications from women, people of color, and bilingual and bicultural individuals, as well as members of the lesbian, gay, bisexual, and transgender communities. Applicants shall not be discriminated against because of race, religion, sex, national origin, ethnicity, age, disability, political affiliation, sexual orientation, gender identity, color, marital status, medical condition including acquired immune deficiency syndrome (AIDS) and AIDS-related conditions, or any other protected status. Also pursuant to the San Francisco Fair Chance Ordinance, we encourage and will consider for employment qualified applicants with arrest and conviction records.


Applicants with Disabilities


Reasonable accommodation will be made so that qualified disabled applicants may participate in the application process. Please advise in writing of special needs at the time of application.


Skai is an E-Verify employer.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3946901661,https://www.linkedin.com/jobs/view/data-scientist-decisions-lyft-business-at-lyft-3946901661?position=4&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=sDCtOr7vmIr7AQtEHT7Jhg%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Decisions - Lyft Business",Lyft,"San Francisco County, CA","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. You will work in a dynamic, impact-oriented 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. + +For this role in the Lyft Business org, you will be working on one of the most profitable centers in our company. We serve the transportation needs of outside enterprises ranging from medical care providers to management consultancies and rental car companies. This role will require developing keen insights about the enterprises we do business and how best we can serve them using our unique capabilities. + +Responsibilities: + + +Set business metrics that measure the health of our products, as well as passenger and driver experience +Partner with product managers, engineers, marketers, designers, and operators to translate business insights into decisions and action +Find opportunities for growth and efficiency for Lyft +Design and analyze product experiments; communicate results and launch decisions +Develop analytical frameworks to monitor and visualize business and product performance +Be a mentor to junior data scientists and a data-driven thought leader to cross-functional managers + + +Experience & Skills: + + +Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees (Master’s or PhD) are preferred but not required +2+ years of industry experience in a product analytics-based science or stats 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 +Experience with Machine Learning at a basic or higher level is desirable +Experience in experimentation and statistical analysis +Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business + + +Benefits: + + +Great medical, dental, and vision insurance options +Mental health benefits +Family building benefits +In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off +401(k) plan to help save for your future +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible +Pre-tax commuter benefits +Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Progra + + +Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. + +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. + +The expected base pay range for this position in the San Francisco area is $128,000 - $150,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. +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. You will work in a dynamic, impact-oriented 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.

For this role in the Lyft Business org, you will be working on one of the most profitable centers in our company. We serve the transportation needs of outside enterprises ranging from medical care providers to management consultancies and rental car companies. This role will require developing keen insights about the enterprises we do business and how best we can serve them using our unique capabilities.

Responsibilities:

  • Set business metrics that measure the health of our products, as well as passenger and driver experience
  • Partner with product managers, engineers, marketers, designers, and operators to translate business insights into decisions and action
  • Find opportunities for growth and efficiency for Lyft
  • Design and analyze product experiments; communicate results and launch decisions
  • Develop analytical frameworks to monitor and visualize business and product performance
  • Be a mentor to junior data scientists and a data-driven thought leader to cross-functional managers

Experience & Skills:

  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees (Master’s or PhD) are preferred but not required
  • 2+ years of industry experience in a product analytics-based science or stats 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
  • Experience with Machine Learning at a basic or higher level is desirable
  • Experience in experimentation and statistical analysis
  • Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business

Benefits:

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • Family building benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Progra

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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.

The expected base pay range for this position in the San Francisco area is $128,000 - $150,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3811307283,https://www.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-3811307283?position=7&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=quC8g%2FUJB3MqFheF0aGd0Q%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Product Analytics",Meta,"Burlingame, CA","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: + + +Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. +A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.) +Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) +Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. +Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. + + +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. + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +$109,000/year to $171,000/year + bonus + equity + benefits + +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:

  • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
  • A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.)
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$109,000/year to $171,000/year + bonus + equity + benefits

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,[] +3876164107,https://www.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-3876164107?position=12&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=fEjeet1byJXladrx7doIUQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Product Analytics",Meta,"San Francisco, CA","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) +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. + + +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. + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +$173,000/year to $242,000/year + bonus + equity + benefits + +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)
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$173,000/year to $242,000/year + bonus + equity + benefits

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,[] +3811302909,https://www.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-3811302909?position=15&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=x891jWbW3EVe6zqta1iZqQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Product Analytics",Meta,"Burlingame, CA","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) +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. + + +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. + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +$173,000/year to $242,000/year + bonus + equity + benefits + +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)
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$173,000/year to $242,000/year + bonus + equity + benefits

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,[] +3928346591,https://www.linkedin.com/jobs/view/data-scientist-iii-research-at-google-3928346591?position=18&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=36C%2FEyvz3Jt%2FGg3B3%2BCVPQ%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist III, Research",Google,"San Francisco, CA","Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA; New York, NY, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications: + + +Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. +3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. + + +Preferred qualifications: + + +5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. + + +About The Job + +Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user. + +The US base salary range for this full-time position is $127,000-$187,000 + bonus + 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 salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. + +Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . + +Responsibilities + + +Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. +Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. +Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. +Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. + + + +Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +Show more ","
+ + + + + +
+
+ Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA; New York, NY, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:

  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

About The Job

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.

The US base salary range for this full-time position is $127,000-$187,000 + bonus + 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 salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.


Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-21,[] +3901705813,https://www.linkedin.com/jobs/view/senior-data-scientist-engagement-at-nextdoor-3901705813?position=20&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=q8IDzrYIkr6xNXBSfaEyCg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - Engagement,Nextdoor,"San Francisco, CA","#TeamNextdoor + +Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. + +Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries. + +Meet Your Future Neighbors + +As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, own complex analysis to drive company and product strategy, and deploy online and offline models to a production environment. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product. + +At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. + +The Impact You’ll Make + +As a Data Scientist on the Core Product team, you will focus on product-driven user acquisition by using data insights in close collaboration with our cross-functional teams, developing models to understand user engagement, causal effects, and new user ecosystems. You will define and own the ways we measure success for the team. + +We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights. + +Successful candidates will exhibit technical acumen, product sense and business savvy, which are enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. + +Your Responsibilities Will Include + + +Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups +Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team +Conduct causal inference studies to deeply understand Nextdoor’s user behavior and acquisition pattern +Build scalable metrics and dashboards to inform product strategy +Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations) +Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow +Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises +Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values + + +What You’ll Bring To The Team + + +4+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. +Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python +Experience in designing trustworthy experimentation and analyzing complex product a/b testing results +Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn +Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives +Ability to solve ambiguous business problems with structured analytics framework +Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies + + +Rewards + +Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. + +The starting salary for this role is expected to range from $145,000 to $218,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. + +We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. + +Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. + +At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. + +For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +Show more ","
+ + + + + +
+
+ #TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, own complex analysis to drive company and product strategy, and deploy online and offline models to a production environment. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.

The Impact You’ll Make

As a Data Scientist on the Core Product team, you will focus on product-driven user acquisition by using data insights in close collaboration with our cross-functional teams, developing models to understand user engagement, causal effects, and new user ecosystems. You will define and own the ways we measure success for the team.

We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights.

Successful candidates will exhibit technical acumen, product sense and business savvy, which are enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility.

Your Responsibilities Will Include

  • Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups
  • Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team
  • Conduct causal inference studies to deeply understand Nextdoor’s user behavior and acquisition pattern
  • Build scalable metrics and dashboards to inform product strategy
  • Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations)
  • Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow
  • Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises
  • Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values

What You’ll Bring To The Team

  • 4+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
  • Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python
  • Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
  • Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
  • Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives
  • Ability to solve ambiguous business problems with structured analytics framework
  • Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $145,000 to $218,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3961795912,https://www.linkedin.com/jobs/view/senior-data-scientist-business-intelligence-at-nextdoor-3961795912?position=21&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=%2FMvqDbFp%2FvsDStu2IBdhWg%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - Business Intelligence,Nextdoor,"San Francisco, CA","#TeamNextdoor + +Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. + +Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries. + +Meet Your Future Neighbors + +Product finance, strategy and operations (“Product FSO”) is committed to driving growth through new user acquisition and increasing engagement amongst our existing user base of Neighbors. Today, we work closely with product and engineering teams to understand the impact and trends across growth and engagement while building and maintaining quarterly and long-range forecasts. Historically, we’ve been strong in our reporting and forecasting; however, are still building the bandwidth and capabilities to dive deeper into our data to better understand “why” we’re seeing what we’re seeing to subsequently get to “what” we should be doing about it. + +We are looking for an entrepreneurial and driven Senior Data Scientist to build these Business Intelligence capabilities and establish the foundation of our data and analytics work. You will work closely with various cross-functional teams such as product, engineering, etc. to develop a BI layer and assist us in better understanding key metrics through causal analyses, data tooling, and dashboarding. Successful candidates will exhibit technical acumen, product sense and business savvy. You are passionate about leveraging the power of data to drive product changes with quality and agility. You are a team player. + +At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. + +The Impact You’ll Make + +Role + +The work of Product FSO is essential to the growth and success of the company and involves frequent opportunities to showcase key metrics and findings to senior leadership. In this role, you will: + + +Partner closely with Finance and ProdDev leads to identifying strategic, high-impact analytical problems and innovative ways to solve them with data +Insight discovery: Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations. Additionally, analyze data to identify trends, discrepancies, and opportunities for improvement. Provide actionable recommendations and insights to senior management to facilitate informed decision-making +Analytics and Forecasting: Conduct statistical analyses and modeling, exploratory/causal analysis, and metric development to uncover data insights that in turn better inform key decisions and enable driver-based forecasting of user activity. +Performance management support: Assist in our weekly performance tracking and management of business operations. Ensure accuracy and timeliness in performance reporting, helping the team meet its short and long-term objectives +Analytics foundation: Partner with our Analytics Engineering team to create and maintain a solid data foundation using advanced data analysis tools and techniques. Extract and manipulate large datasets to create meaningful metrics and insights that inform strategic decisions +Collaboration: Facilitate data ownership and accountability by closely partnering with data science, product, and engineering partners to improve data robustness +Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises +Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values + + +What You’ll Bring To The Team + + +6 - 8+ years working in data science, product analytics, or business intelligence, or equivalent (starting level is flexible) +Strategic-minded, impact-driven, and capable of incorporating larger business context into data questions and product development +Experience architecting, debugging, and executing SQL queries +Excellent knowledge of Looker (preferred) or another BI/visualization tool +Comfortable knowledge of Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn +Comfort with methods, tools, and packages for statistical modeling and machine learning +Experience formulating, running, and sharing complex analyses, including different types of experiments, cohort retention studies, and other exploratory analysis work +Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark +Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders +Curiosity about how things work, from both a business and technical perspective +A self-starter who thrives under a high level of ambiguity and autonomy + + +It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us! + +Bonus Points + + +Past experience in solving problems in Finance or other business-facing areas +Work experience related to social or community-based products +Work experience related to small businesses and marketplaces +Work experience related to advertising and auction systems +Expertise deploying models to production +Expertise in testing and evaluating the impact of network effects +Knowledge of web applications and service-oriented architecture + + +Rewards + +Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. + +The starting salary for this role is expected to range from $175,000 to $210,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. + +We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. + +Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. + +At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. + +For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +Show more ","
+ + + + + +
+
+ #TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

Product finance, strategy and operations (“Product FSO”) is committed to driving growth through new user acquisition and increasing engagement amongst our existing user base of Neighbors. Today, we work closely with product and engineering teams to understand the impact and trends across growth and engagement while building and maintaining quarterly and long-range forecasts. Historically, we’ve been strong in our reporting and forecasting; however, are still building the bandwidth and capabilities to dive deeper into our data to better understand “why” we’re seeing what we’re seeing to subsequently get to “what” we should be doing about it.

We are looking for an entrepreneurial and driven Senior Data Scientist to build these Business Intelligence capabilities and establish the foundation of our data and analytics work. You will work closely with various cross-functional teams such as product, engineering, etc. to develop a BI layer and assist us in better understanding key metrics through causal analyses, data tooling, and dashboarding. Successful candidates will exhibit technical acumen, product sense and business savvy. You are passionate about leveraging the power of data to drive product changes with quality and agility. You are a team player.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.

The Impact You’ll Make

Role

The work of Product FSO is essential to the growth and success of the company and involves frequent opportunities to showcase key metrics and findings to senior leadership. In this role, you will:

  • Partner closely with Finance and ProdDev leads to identifying strategic, high-impact analytical problems and innovative ways to solve them with data
  • Insight discovery: Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations. Additionally, analyze data to identify trends, discrepancies, and opportunities for improvement. Provide actionable recommendations and insights to senior management to facilitate informed decision-making
  • Analytics and Forecasting: Conduct statistical analyses and modeling, exploratory/causal analysis, and metric development to uncover data insights that in turn better inform key decisions and enable driver-based forecasting of user activity.
  • Performance management support: Assist in our weekly performance tracking and management of business operations. Ensure accuracy and timeliness in performance reporting, helping the team meet its short and long-term objectives
  • Analytics foundation: Partner with our Analytics Engineering team to create and maintain a solid data foundation using advanced data analysis tools and techniques. Extract and manipulate large datasets to create meaningful metrics and insights that inform strategic decisions
  • Collaboration: Facilitate data ownership and accountability by closely partnering with data science, product, and engineering partners to improve data robustness
  • Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises
  • Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values

What You’ll Bring To The Team

  • 6 - 8+ years working in data science, product analytics, or business intelligence, or equivalent (starting level is flexible)
  • Strategic-minded, impact-driven, and capable of incorporating larger business context into data questions and product development
  • Experience architecting, debugging, and executing SQL queries
  • Excellent knowledge of Looker (preferred) or another BI/visualization tool
  • Comfortable knowledge of Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
  • Comfort with methods, tools, and packages for statistical modeling and machine learning
  • Experience formulating, running, and sharing complex analyses, including different types of experiments, cohort retention studies, and other exploratory analysis work
  • Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark
  • Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders
  • Curiosity about how things work, from both a business and technical perspective
  • A self-starter who thrives under a high level of ambiguity and autonomy

It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us!

Bonus Points

  • Past experience in solving problems in Finance or other business-facing areas
  • Work experience related to social or community-based products
  • Work experience related to small businesses and marketplaces
  • Work experience related to advertising and auction systems
  • Expertise deploying models to production
  • Expertise in testing and evaluating the impact of network effects
  • Knowledge of web applications and service-oriented architecture

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $175,000 to $210,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3916970161,https://www.linkedin.com/jobs/view/staff-data-scientist-growth-at-nextdoor-3916970161?position=22&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=kqz7%2F3PD5SUOnA%2FETFJD%2Fw%3D%3D&trk=public_jobs_jserp-result_search-card,Staff Data Scientist - Growth,Nextdoor,"San Francisco, CA","#TeamNextdoor + +Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. + +Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries. + +Meet Your Future Neighbors + +As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, and own complex analysis to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product. + +At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. + +The Impact You’ll Make + +As a Data Scientist on the Growth Product team, you will focus on product-driven user retention by using data insights in close collaboration with our cross-functional teams, developing models to understand user engagement, causal effects, and new user ecosystems. You will define and own the ways we measure success for the team. + +We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights. + +Successful candidates will exhibit technical acumen, product sense and business savvy, which are enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. + +Your Responsibilities Will Include + + +Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups +Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team +Conduct causal inference studies to deeply understand Nextdoor’s user behavior and acquisition pattern +Build scalable metrics and dashboards to inform product strategy +Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations) +Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow +Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises +Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values + + +What You’ll Bring To The Team + + +7+ years of data science and product analytics experience with at least 2+ of those years leading teams technically. MS or PhD in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc. +Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python +Experience in designing trustworthy experimentation and analyzing complex product a/b testing results +Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn +Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives +Ability to solve ambiguous business problems with structured analytics framework +Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies + + +Rewards + +Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. + +The starting salary for this role is expected to range from $167,000 to $250,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. + +We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. + +Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. + +At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. + +For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +Show more ","
+ + + + + +
+
+ #TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, and own complex analysis to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.

The Impact You’ll Make

As a Data Scientist on the Growth Product team, you will focus on product-driven user retention by using data insights in close collaboration with our cross-functional teams, developing models to understand user engagement, causal effects, and new user ecosystems. You will define and own the ways we measure success for the team.

We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights.

Successful candidates will exhibit technical acumen, product sense and business savvy, which are enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility.

Your Responsibilities Will Include

  • Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups
  • Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team
  • Conduct causal inference studies to deeply understand Nextdoor’s user behavior and acquisition pattern
  • Build scalable metrics and dashboards to inform product strategy
  • Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations)
  • Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow
  • Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises
  • Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values

What You’ll Bring To The Team

  • 7+ years of data science and product analytics experience with at least 2+ of those years leading teams technically. MS or PhD in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.
  • Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python
  • Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
  • Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
  • Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives
  • Ability to solve ambiguous business problems with structured analytics framework
  • Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $167,000 to $250,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3990949370,https://www.linkedin.com/jobs/view/junior-data-scientist-remote-at-synergisticit-3990949370?position=23&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=pSF1%2B7Cy3YIU%2BP2Uwv40Fg%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Scientist - Remote,SynergisticIT,"San Francisco, CA","Since 2010 Synergisticit has helped Jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers. + +In this Job market also, our candidates are able to achieve multiple job offers and $100k + salaries. + +please check the below links to see the success outcomes and salaries of our candidates . + +https://www.synergisticit.com/candidate-outcomes/ + +https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog + +We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java one (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 + +https://synergisticit.wistia.com/medias/tmwjwchxz5 + +https://synergisticit.wistia.com/medias/n8487768di + +https://synergisticit.wistia.com/medias/o5gmv7i9eu + +https://synergisticit.wistia.com/medias/k6t6a1n4kb + +https://synergisticit.wistia.com/medias/pgrvq4fgni + +https://synergisticit.wistia.com/medias/ce4syhm853 + +All Positions are open for all visas and US citizens + +We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few. + +Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients. + +Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry. + +We assist in filing for STEM extension and also for H1b and Green card filing to Candidates + +We want Data Science/Machine learning/Data Analyst and Java Full stack candidates + +For data Science/Machine learning Positions + +Required Skills + +Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT + +Project work on the technologies needed + +Highly motivated, self-learner, and technically inquisitive + +Experience in programming language Java and understanding of the software development life cycle + +Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools + +Excellent written and verbal communication skills + +Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow + +Required Skills + +REQUIRED SKILLS For Java /Full stack/Software Positions + +Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT + +Highly motivated, self-learner, and technically inquisitive + +Experience in programming language Java and understanding of the software development life cycle + +Project work on the skills + +Knowledge of Core Java, Javascript, C++, or software programming + +Spring boot, Microservices, Docker, Jenkins, Github, Kubernates, and REST API's experience + +Excellent written and verbal communication skills + +If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who are matching client requirements. + +No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or c2c candidates +Show more ","
+ + + + + +
+
+ Since 2010 Synergisticit has helped Jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.

In this Job market also, our candidates are able to achieve multiple job offers and $100k + salaries.

please check the below links to see the success outcomes and salaries of our candidates .

https://www.synergisticit.com/candidate-outcomes/

https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog

We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java one (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023

https://synergisticit.wistia.com/medias/tmwjwchxz5

https://synergisticit.wistia.com/medias/n8487768di

https://synergisticit.wistia.com/medias/o5gmv7i9eu

https://synergisticit.wistia.com/medias/k6t6a1n4kb

https://synergisticit.wistia.com/medias/pgrvq4fgni

https://synergisticit.wistia.com/medias/ce4syhm853

All Positions are open for all visas and US citizens

We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.

Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.

We assist in filing for STEM extension and also for H1b and Green card filing to Candidates

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates

For data Science/Machine learning Positions

Required Skills

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Project work on the technologies needed

Highly motivated, self-learner, and technically inquisitive

Experience in programming language Java and understanding of the software development life cycle

Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools

Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow

Required Skills

 REQUIRED SKILLS For Java /Full stack/Software Positions

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Highly motivated, self-learner, and technically inquisitive

Experience in programming language Java and understanding of the software development life cycle

Project work on the skills

Knowledge of Core Java, Javascript, C++, or software programming

Spring boot, Microservices, Docker, Jenkins, Github, Kubernates, and REST API's experience

Excellent written and verbal communication skills

If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who are matching client requirements.

No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or c2c candidates +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3941965819,https://www.linkedin.com/jobs/view/data-scientist-iii-research-at-google-3941965819?position=24&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=%2Ba9ArqTuGy5RE5iW4iOm9A%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist III, Research",Google,"San Bruno, CA","Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA; New York, NY, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications: + + +Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. +3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. + + +Preferred qualifications: + + +5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. + + +About The Job + +Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user. + +The US base salary range for this full-time position is $127,000-$187,000 + bonus + 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 salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. + +Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . + +Responsibilities + + +Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. +Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. +Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. +Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. + + + +Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +Show more ","
+ + + + + +
+
+ Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA; New York, NY, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications:

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:

  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

About The Job

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.

The US base salary range for this full-time position is $127,000-$187,000 + bonus + 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 salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.


Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3912844864,https://www.linkedin.com/jobs/view/senior-data-scientist-marketing-at-nextdoor-3912844864?position=27&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=KMR0n%2FrmznUA2%2FoZOmDczA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - Marketing,Nextdoor,"San Francisco, CA","#TeamNextdoor + +Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. + +Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries. + +Meet Your Future Neighbors + +At Nextdoor, our Growth Marketing team is charged with driving member growth and revenues from businesses advertising on the platform. This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform. We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions of new and existing advertisers. + +You will design/deploy complex models that enable optimization of investments and decisions, alongside using best practices for experimentation, measurement and reporting of results. You will bring a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with many leaders and stakeholders including but not limited to finance, data science, marketing, engineering, and product. + +The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product. + +At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. + +The Impact You’ll Make + +You will have an opportunity to work in a growth focused organization and make a huge impact by optimizing how we use a multi-million dollar marketing budget. Your work will come to life through strategic/analytical thinking, operational excellence, and creatively solving complex business problems. The team is responsible for the growth of the number of neighbors joining the platform but also the number of businesses joining the platform to advertise to different communities. + +We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, and design to develop and deliver metrics, analyses, solutions, and insights. + +Successful candidates will exhibit technical acumen, product sense and be business savvy. Candidates should be enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility. + +Your Responsibilities Will Include + + +Own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion +Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies based on data driven insights and past campaign performance +Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups +Build scalable metrics and dashboards to inform product strategy +Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow +Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values and educate stakeholders by explaining the “Why” behind the “What” + + +What You’ll Bring To The Team + + +3+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc +3+ years of experience partnering with Marketing teams to optimize decision making +Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions +Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python, R is ok +Experience in designing trustworthy experimentation and analyzing complex product a/b testing results +Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn +Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives +Ability to solve ambiguous business problems with structured analytics framework +Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies + + +Bonus Points + + +Familiarity with marketing in the B2B space +Experience with complex attribution solutions +Experience building predictive models using machine learning algorithms +Knowledge of online advertising and ad tech space; robust understanding of online advertising best practices + + +Rewards + +Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. + +The starting salary for this role is expected to range from $151,000 to $200,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography. + +We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. + +Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. + +We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. + +At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. + +For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +Show more ","
+ + + + + +
+
+ #TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

At Nextdoor, our Growth Marketing team is charged with driving member growth and revenues from businesses advertising on the platform. This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform. We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions of new and existing advertisers.

You will design/deploy complex models that enable optimization of investments and decisions, alongside using best practices for experimentation, measurement and reporting of results. You will bring a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with many leaders and stakeholders including but not limited to finance, data science, marketing, engineering, and product.

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.

The Impact You’ll Make

You will have an opportunity to work in a growth focused organization and make a huge impact by optimizing how we use a multi-million dollar marketing budget. Your work will come to life through strategic/analytical thinking, operational excellence, and creatively solving complex business problems. The team is responsible for the growth of the number of neighbors joining the platform but also the number of businesses joining the platform to advertise to different communities.

We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, and design to develop and deliver metrics, analyses, solutions, and insights.

Successful candidates will exhibit technical acumen, product sense and be business savvy. Candidates should be enthusiastic about making an impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility.

Your Responsibilities Will Include

  • Own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion
  • Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies based on data driven insights and past campaign performance
  • Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups
  • Build scalable metrics and dashboards to inform product strategy
  • Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow
  • Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values and educate stakeholders by explaining the “Why” behind the “What”

What You’ll Bring To The Team

  • 3+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc
  • 3+ years of experience partnering with Marketing teams to optimize decision making
  • Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions
  • Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python, R is ok
  • Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
  • Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
  • Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives
  • Ability to solve ambiguous business problems with structured analytics framework
  • Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies

Bonus Points

  • Familiarity with marketing in the B2B space
  • Experience with complex attribution solutions
  • Experience building predictive models using machine learning algorithms
  • Knowledge of online advertising and ad tech space; robust understanding of online advertising best practices

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $151,000 to $200,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.

We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3984806072,https://www.linkedin.com/jobs/view/sr-data-scientist-at-unitedmasters-3984806072?position=28&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=NCgyIGBXReTpp9VnBjNkrA%3D%3D&trk=public_jobs_jserp-result_search-card,Sr. Data Scientist,UnitedMasters,"San Francisco, CA","Who We Are + +UnitedMasters is building a marketplace that connects artists, brands and fans - empowering artists to earn and grow. UnitedMasters has taken the bold step of building a music distribution service that, radically, puts artists first - disrupting the legacy music business by letting up-and-coming artists distribute their music directly to fans through streaming services while maintaining ownership of their master recording rights and up to 100% of royalties. Through the combination of UnitedMasters’ music distribution platform and its deep ties to brands, UnitedMasters enables independent artists and change-makers to grow and earn unlike any other platform. + +The UnitedMasters team is made up of musicians, marketers, engineers, and storytellers with backgrounds from YouTube, SoundCloud, Pandora, Facebook, Uber, Dropbox, Complex, VICE, and more. We work hand in hand with the award-winning creative teams that forge those innovative partnerships at Translation (our in-house creative advertising agency). + +We are looking for a Senior Data Scientist to join UnitedMasters! Please note that this is a Hybrid role: two days in office and three days remote. + +What You'll Do + +As a Senior Data Scientist, you’ll develop analytic capabilities that fuel artist success. You’ll partner with the Music, Product and Engineering teams to infuse UnitedMasters’ products and processes with signals that help us sign artist talent, drive more meaningful product engagement and deliver artist outcomes. You will: + + +Solve for the unknown. You’ll translate Music and Product challenges into analytic objectives, then develop and execute on a technical plan to solve for strategic opportunities and sticky business problems. +Make your partners superheroes. You’ll collaborate with cross-functional teams and empower partners and customers with data assets and analytic insights that shape the artist, brand and fan marketplace. +Drive product innovation. You’ll infuse the UnitedMasters product with responsive, algorithmic insights that highlight systemic opportunities for artists to expand their influence and put themselves on the path to success. +Evangelize robust measurement. You will develop robust measurement strategies across experimentation, modeling, and analytics, including owning the process of gathering, extracting and compiling data sources across relevant tools like SQL, DBT and Python. You will challenge others to use data that is accurate and unbiased. +Develop deeper customer intelligence. You will enable the team to more deeply understand our artists and the opportunities we have to fuel their success. + + +Knowledge, Skills And Abilities + +You’re a we-first team player who loves music and is passionate about helping artists grow, earn, and thrive. You anchor all that you do on customer needs, you know how to tell stories with data, and you have deep experience deploying analytic methods to solve amorphous business challenges. You’ll have: + + +Analytical mindset - you have exceptional quantitative, problem-solving, and critical thinking skills +Persistence and resilience in driving impact - you have worked through enough adversity to come away with a simultaneously deep appreciation and sensitivity towards people, culture, and values +Self-accountability - you are proactive, detail-oriented, organized, and adaptive to changing organizational imperatives and shifting priorities +Empathetic partnership - you are a top-decile listener with ability to express research and recommendations in clear and concise written documents and present those documents to a variety of stakeholders + + +Minimum Qualifications + + +You have 3+ years of experience within Data Science or Product Analytics deploying impactful analytic solutions +Fluent with SQL and/or Python, bonus for prior experience with Amplitude, Sigma BI, Snowflake, DBT, experimentation frameworks and machine learning modeling + + +Preferred Qualifications + + +Passionate about independent music and improving outcomes for independent artists + + +About UnitedMasters, Inc. + +UnitedMasters Inc. represents the creative solutions company, Translation, and the leading software and services platform for independent creators, UnitedMasters. UnitedMasters enables ownership, exposure, and new paths for financial return for independent creators, while Translation helps brands leverage the power of contemporary culture to achieve transformational growth. Combined, UnitedMasters, Inc. is the world’s leading marketplace for cultural capital, connecting independent artists and brands to realize a future in which all creators own their future. Backed by Alphabet, Andreessen Horowitz, and Apple, UnitedMasters, Inc. is reimagining how brands and artists come together to tell their stories, build profitable growth, and push culture forward. + +Salary Hiring Range: $195,000 - $230,000 + +Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide (e.g. bonus, stock options, 401(k) match, etc.) + +Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. + +The range above is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate. + +The salary range above is for the NY/CA. As a company, we have a location based strategy, which means the salary range could be lower or higher than this if the role is hired in another location. + + +Show more ","
+ + + + + +
+
+ Who We Are

UnitedMasters is building a marketplace that connects artists, brands and fans - empowering artists to earn and grow. UnitedMasters has taken the bold step of building a music distribution service that, radically, puts artists first - disrupting the legacy music business by letting up-and-coming artists distribute their music directly to fans through streaming services while maintaining ownership of their master recording rights and up to 100% of royalties. Through the combination of UnitedMasters’ music distribution platform and its deep ties to brands, UnitedMasters enables independent artists and change-makers to grow and earn unlike any other platform.

The UnitedMasters team is made up of musicians, marketers, engineers, and storytellers with backgrounds from YouTube, SoundCloud, Pandora, Facebook, Uber, Dropbox, Complex, VICE, and more. We work hand in hand with the award-winning creative teams that forge those innovative partnerships at Translation (our in-house creative advertising agency).

We are looking for a Senior Data Scientist to join UnitedMasters! Please note that this is a Hybrid role: two days in office and three days remote.

What You'll Do

As a Senior Data Scientist, you’ll develop analytic capabilities that fuel artist success. You’ll partner with the Music, Product and Engineering teams to infuse UnitedMasters’ products and processes with signals that help us sign artist talent, drive more meaningful product engagement and deliver artist outcomes. You will:

  • Solve for the unknown. You’ll translate Music and Product challenges into analytic objectives, then develop and execute on a technical plan to solve for strategic opportunities and sticky business problems.
  • Make your partners superheroes. You’ll collaborate with cross-functional teams and empower partners and customers with data assets and analytic insights that shape the artist, brand and fan marketplace.
  • Drive product innovation. You’ll infuse the UnitedMasters product with responsive, algorithmic insights that highlight systemic opportunities for artists to expand their influence and put themselves on the path to success.
  • Evangelize robust measurement. You will develop robust measurement strategies across experimentation, modeling, and analytics, including owning the process of gathering, extracting and compiling data sources across relevant tools like SQL, DBT and Python. You will challenge others to use data that is accurate and unbiased.
  • Develop deeper customer intelligence. You will enable the team to more deeply understand our artists and the opportunities we have to fuel their success.

Knowledge, Skills And Abilities

You’re a we-first team player who loves music and is passionate about helping artists grow, earn, and thrive. You anchor all that you do on customer needs, you know how to tell stories with data, and you have deep experience deploying analytic methods to solve amorphous business challenges. You’ll have:

  • Analytical mindset - you have exceptional quantitative, problem-solving, and critical thinking skills
  • Persistence and resilience in driving impact - you have worked through enough adversity to come away with a simultaneously deep appreciation and sensitivity towards people, culture, and values
  • Self-accountability - you are proactive, detail-oriented, organized, and adaptive to changing organizational imperatives and shifting priorities
  • Empathetic partnership - you are a top-decile listener with ability to express research and recommendations in clear and concise written documents and present those documents to a variety of stakeholders

Minimum Qualifications

  • You have 3+ years of experience within Data Science or Product Analytics deploying impactful analytic solutions
  • Fluent with SQL and/or Python, bonus for prior experience with Amplitude, Sigma BI, Snowflake, DBT, experimentation frameworks and machine learning modeling

Preferred Qualifications

  • Passionate about independent music and improving outcomes for independent artists

About UnitedMasters, Inc.

UnitedMasters Inc. represents the creative solutions company, Translation, and the leading software and services platform for independent creators, UnitedMasters. UnitedMasters enables ownership, exposure, and new paths for financial return for independent creators, while Translation helps brands leverage the power of contemporary culture to achieve transformational growth. Combined, UnitedMasters, Inc. is the world’s leading marketplace for cultural capital, connecting independent artists and brands to realize a future in which all creators own their future. Backed by Alphabet, Andreessen Horowitz, and Apple, UnitedMasters, Inc. is reimagining how brands and artists come together to tell their stories, build profitable growth, and push culture forward.

Salary Hiring Range: $195,000 - $230,000

Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide (e.g. bonus, stock options, 401(k) match, etc.)

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors.

The range above is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

The salary range above is for the NY/CA. As a company, we have a location based strategy, which means the salary range could be lower or higher than this if the role is hired in another location.

 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3995465053,https://www.linkedin.com/jobs/view/senior-data-scientist-analytics-ads-quests-at-discord-3995465053?position=29&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=IEV3aC%2Bhzzl8sbLQcoCENg%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Scientist, Analytics - Ads (Quests)",Discord,"San Francisco, CA","Discord is about giving people the power to create space to find belonging in their lives. We want to make it easier for you to talk regularly with the people you care about. We want you to build genuine relationships with your friends and communities close to home or around the world. Original, reliable, playful, and relatable. These are the values that connect our users and our employees at Discord. + +Discord, an inclusive community for all, is looking for an accomplished and passionate data scientist to join our Data+ML team, focusing on Quests! Quests is our unique win-win-win advertising product, where we reward users for playing their favorite games. As a Senior DS supporting Quests, you’ll conduct analysis, run experiments, and build tools, partnering closely with our Product & Business teams to make Quests better for our users & game developers. If using data and working with amazing teammates to make a great product even better sounds exciting, we encourage you to apply! + +What You'll Be Doing + + +Partner with Product & business teams throughout the full lifecycle of our marketing solutions, from ideation and exploratory analysis, to running experiments, to building dashboards +Define metrics to understand Quest campaign performance & help identify areas for improvement, encapsulating these measures in easy-to-use dashboards that provide the company with timely and actionable information +Proactively generate & socialize insights and recommendations with technical and non-technical audiences +Collaborate closely with data science, machine learning, and engineering teams to improve Quests-related capabilities like instrumentation & targeting +Leverage A/B testing to continuously iterate and improve on the Quests experience + + +What You Should Have + + +4+ years of experience of analytics in marketing solutions and advertising, translating ambiguous business problems into deep & actionable insights +4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing intuitive visualizations +3+ years experience writing excellent SQL and Python +Strong communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways +2+ years of experience in the design, analysis, and interpretation of A/B tests for a large-scale user product +A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord +Last but not least - you have a collaborative approach to work and a knack for curiosity! + + +Bonus Points + + +Passion for Discord and/or gaming in general +Experience with writing production ETL +Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV/user-lifecycle analysis, funnel analysis, etc + + +The US base salary range for this full-time position is $183,000 - $201,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. + +Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and use of personal information relating to the application and recruitment process by clicking here. + +Discord is an equal opportunity employer that believes diversity inspires creativity and innovation. We are committed to fostering an inclusive environment where employees can do their best work free of harassment or discrimination, regardless of race, ethnicity, religion, gender identity or expression, sexual orientation, age, disability, military status, or any other protected characteristics or identities. We encourage all candidates to apply for roles where they may make the most impact. + +About Us + +Discord is a voice, video and text app that helps friends come together to hang out, have fun, and play games. With over 150 million monthly users, Discord has grown to become one of the most popular communications services in the world. Discord offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations. + +We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us! + + +Show more ","
+ + + + + +
+
+ Discord is about giving people the power to create space to find belonging in their lives. We want to make it easier for you to talk regularly with the people you care about. We want you to build genuine relationships with your friends and communities close to home or around the world. Original, reliable, playful, and relatable. These are the values that connect our users and our employees at Discord.

Discord, an inclusive community for all, is looking for an accomplished and passionate data scientist to join our Data+ML team, focusing on Quests! Quests is our unique win-win-win advertising product, where we reward users for playing their favorite games. As a Senior DS supporting Quests, you’ll conduct analysis, run experiments, and build tools, partnering closely with our Product & Business teams to make Quests better for our users & game developers. If using data and working with amazing teammates to make a great product even better sounds exciting, we encourage you to apply!

What You'll Be Doing

  • Partner with Product & business teams throughout the full lifecycle of our marketing solutions, from ideation and exploratory analysis, to running experiments, to building dashboards
  • Define metrics to understand Quest campaign performance & help identify areas for improvement, encapsulating these measures in easy-to-use dashboards that provide the company with timely and actionable information
  • Proactively generate & socialize insights and recommendations with technical and non-technical audiences
  • Collaborate closely with data science, machine learning, and engineering teams to improve Quests-related capabilities like instrumentation & targeting
  • Leverage A/B testing to continuously iterate and improve on the Quests experience

What You Should Have

  • 4+ years of experience of analytics in marketing solutions and advertising, translating ambiguous business problems into deep & actionable insights
  • 4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing intuitive visualizations
  • 3+ years experience writing excellent SQL and Python
  • Strong communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
  • 2+ years of experience in the design, analysis, and interpretation of A/B tests for a large-scale user product
  • A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
  • Last but not least - you have a collaborative approach to work and a knack for curiosity!

Bonus Points

  • Passion for Discord and/or gaming in general
  • Experience with writing production ETL
  • Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV/user-lifecycle analysis, funnel analysis, etc

The US base salary range for this full-time position is $183,000 - $201,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and use of personal information relating to the application and recruitment process by clicking here.

Discord is an equal opportunity employer that believes diversity inspires creativity and innovation. We are committed to fostering an inclusive environment where employees can do their best work free of harassment or discrimination, regardless of race, ethnicity, religion, gender identity or expression, sexual orientation, age, disability, military status, or any other protected characteristics or identities. We encourage all candidates to apply for roles where they may make the most impact.

About Us

Discord is a voice, video and text app that helps friends come together to hang out, have fun, and play games. With over 150 million monthly users, Discord has grown to become one of the most popular communications services in the world. Discord offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.

We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!

 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-10,[] +3832778676,https://www.linkedin.com/jobs/view/data-scientist-at-envoy-3832778676?position=30&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=6KJeqhn%2FGH6TA17Ygzi92Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Envoy,"San Francisco, CA","About Envoy + +Envoy’s workplace platform has redefined how companies welcome visitors, improve the onsite experience, book desks and meeting rooms, manage deliveries, and access accurate and unified workplace data in 16,000 locations around the globe by designing products that solve common workplace problems. + +Envoy provides a simple way to manage your complex safety, security, and compliance needs across all your workplace locations—wherever you need to bring people together. + +Rely on smart, automated solutions to common workplace problems, like freeing up unused space and eliminating repetitive tasks. Not only does this allow you to make the most efficient use of your space and resources, it frees up your team’s time to focus on the work that matters. + +With Envoy’s intuitive technology that employees actually enjoy using, you can create a great workplace experience that fosters community and togetherness by making it easy for teams to coordinate working onsite. + +Unlike companies that offer disconnected workplace solutions and disparate (and often imprecise) data sources, Envoy’s platform provides accurate, comprehensive, and unified workplace data so you can make informed business decisions. Envoy’s integrated solutions pull data from multiple sources to ensure that you always have the most accurate data available. + +For more information, visit Envoy.com . + +About The Role + +We are a top-notch data organization with a great culture and have the same high standards with our code, systems, practices, and people. We value learning and growth and hire diverse, well-rounded, communicative people. + +We are looking for a talented and driven technical leader to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, and engineering to develop and deliver predictive models that drive impact. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. If you’re looking to challenge the status quo and build the Office OS, come join us. + +This is a hybrid position that requires at least 3 days a week (Tuesday - Thursday) in our San Francisco HQ. + +You will + + +Partner closely with Product and Go-to-Market teams to understand the technical and business context of their work, define measurable KPIs and goals, and build new data science/ML models that drive business value +Design, implement, and analyze A/B experiments and develop causal research to measure the impact of business initiatives +Distill complex data and findings into understandable narratives, communicate with cross-functional stakeholders and make actionable recommendations +Mentor junior members of the team + + +You have + + +4+ years of professional experience as a data scientist in the SaaS industry +Mastery of SQL +Experience with Python for statistical analysis and building machine learning models +Working knowledge of Unix command-line/shell and git +Experience deploying models in a production environment, ideally with Databricks +Strong presentation and written communication skills with the ability to build consensus with multi level cross-functional stakeholders + + +You are + + +Someone with extremely high standards that obsesses over data accuracy. You’re practical and know perfect is the enemy of good, but you aspire for us to be great. You care deeply about the quality of your work and our data. You are passionate about finding the insights and “truth” that data can give. +A big picture, systems thinker. You think about how the whole is a sum of many parts and how we can properly measure them end to end such that we have the per context for insights. +An owner. You feel personally accountable and responsible and know seeing the problem is less than half of it. You look for problems and inefficiencies and find elegant solutions to them before they become major issues. +Fast-paced. You love the speed of and impact you have in startups. Conversely you never, ever want to be a tiny cog in a gigantic machine. +An open-minded learner. You live to learn new things, like staying up to date on new technologies, tools, and techniques. You are inspired by what people inside and outside Envoy know and are eager to incorporate the world's knowledge into your work. +Emotionally mature & humble. You care about being effective over being right. Ideally you’ve made major changes & decisions in your life and learned from the results. +Communicative & empathetic. You are happy when helping others succeed, particularly your team and partners across the company. + + +Nice to have + + +You have experience working in a fast paced startup environment +Experience with dbt or similar analytics workflow tools a big plus +Proven record of writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs + + +You'll get + + +A high degree of trust in your ideas and execution +An opportunity to partner and collaborate with other talented people +An inclusive community where you feel welcomed and cared for as a person +The ability to make an immediate impact helping customers create a great workplace experience +Support for your personal and professional growth + + +Compensation Description + +Envoy's compensation package includes market competitive salary, equity for all full time roles, and great benefits. If you are located in San Francisco Bay Area , our expected cash compensation for this role is $152,000 - $180,000 (Annually). Final offers may vary within the range provided based on experience, expertise, and other factors. + +If you have any questions related to compensation, please contact Recruiting after you apply. + +By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked here . Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application. Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law. + + +Show more ","
+ + + + + +
+
+ About Envoy

Envoy’s workplace platform has redefined how companies welcome visitors, improve the onsite experience, book desks and meeting rooms, manage deliveries, and access accurate and unified workplace data in 16,000 locations around the globe by designing products that solve common workplace problems.

Envoy provides a simple way to manage your complex safety, security, and compliance needs across all your workplace locations—wherever you need to bring people together.

Rely on smart, automated solutions to common workplace problems, like freeing up unused space and eliminating repetitive tasks. Not only does this allow you to make the most efficient use of your space and resources, it frees up your team’s time to focus on the work that matters.

With Envoy’s intuitive technology that employees actually enjoy using, you can create a great workplace experience that fosters community and togetherness by making it easy for teams to coordinate working onsite.

Unlike companies that offer disconnected workplace solutions and disparate (and often imprecise) data sources, Envoy’s platform provides accurate, comprehensive, and unified workplace data so you can make informed business decisions. Envoy’s integrated solutions pull data from multiple sources to ensure that you always have the most accurate data available.

For more information, visit Envoy.com .

About The Role

We are a top-notch data organization with a great culture and have the same high standards with our code, systems, practices, and people. We value learning and growth and hire diverse, well-rounded, communicative people.

We are looking for a talented and driven technical leader to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, and engineering to develop and deliver predictive models that drive impact. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. If you’re looking to challenge the status quo and build the Office OS, come join us.

This is a hybrid position that requires at least 3 days a week (Tuesday - Thursday) in our San Francisco HQ.

You will

  • Partner closely with Product and Go-to-Market teams to understand the technical and business context of their work, define measurable KPIs and goals, and build new data science/ML models that drive business value
  • Design, implement, and analyze A/B experiments and develop causal research to measure the impact of business initiatives
  • Distill complex data and findings into understandable narratives, communicate with cross-functional stakeholders and make actionable recommendations
  • Mentor junior members of the team

You have

  • 4+ years of professional experience as a data scientist in the SaaS industry
  • Mastery of SQL
  • Experience with Python for statistical analysis and building machine learning models
  • Working knowledge of Unix command-line/shell and git
  • Experience deploying models in a production environment, ideally with Databricks
  • Strong presentation and written communication skills with the ability to build consensus with multi level cross-functional stakeholders

You are

  • Someone with extremely high standards that obsesses over data accuracy. You’re practical and know perfect is the enemy of good, but you aspire for us to be great. You care deeply about the quality of your work and our data. You are passionate about finding the insights and “truth” that data can give.
  • A big picture, systems thinker. You think about how the whole is a sum of many parts and how we can properly measure them end to end such that we have the per context for insights.
  • An owner. You feel personally accountable and responsible and know seeing the problem is less than half of it. You look for problems and inefficiencies and find elegant solutions to them before they become major issues.
  • Fast-paced. You love the speed of and impact you have in startups. Conversely you never, ever want to be a tiny cog in a gigantic machine.
  • An open-minded learner. You live to learn new things, like staying up to date on new technologies, tools, and techniques. You are inspired by what people inside and outside Envoy know and are eager to incorporate the world's knowledge into your work.
  • Emotionally mature & humble. You care about being effective over being right. Ideally you’ve made major changes & decisions in your life and learned from the results.
  • Communicative & empathetic. You are happy when helping others succeed, particularly your team and partners across the company.

Nice to have

  • You have experience working in a fast paced startup environment
  • Experience with dbt or similar analytics workflow tools a big plus
  • Proven record of writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs

You'll get

  • A high degree of trust in your ideas and execution
  • An opportunity to partner and collaborate with other talented people
  • An inclusive community where you feel welcomed and cared for as a person
  • The ability to make an immediate impact helping customers create a great workplace experience
  • Support for your personal and professional growth

Compensation Description

Envoy's compensation package includes market competitive salary, equity for all full time roles, and great benefits. If you are located in San Francisco Bay Area , our expected cash compensation for this role is $152,000 - $180,000 (Annually). Final offers may vary within the range provided based on experience, expertise, and other factors.

If you have any questions related to compensation, please contact Recruiting after you apply.

By applying for this position, you acknowledge that you have fully read and understand the job requirements and received the Envoy Privacy Notice for applicants, which is linked here . Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Envoy to process your application. Envoy is an EEO Employer and does not discriminate on the basis of any characteristic protected by local, state or federal law.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-03,[] +3995778097,https://www.linkedin.com/jobs/view/ai-ml-developer-at-petadata-3995778097?position=31&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=Cwj6z%2FEa8ft3TXQvK77inw%3D%3D&trk=public_jobs_jserp-result_search-card,AI/ML Developer,PETADATA,"San Francisco, CA","Position: AI/ML Developer + +Location: San Francisco, CA / New York City, NY + +Experience: 8-12 years + +Work Type: Fulltime + +PETADATA is currently looking to hire an AI/ML Developer for FULLTIME. + +Role & Responsibilities + + +The Ideal Candidate should have to manage and direct processes and R&D (research and development) to meet the needs of our AI strategy. +Should understand the needs of company and client challenges and how integrating AI capabilities can help lead to solutions. +Must lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefits. +Have to analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards. +Should have to advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI. +Need to work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership. +Have to articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. +Must have to manage a team in conducting assessments of the AI and automation market and competitor landscape. +Should serve as the liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation. +Have to stay up to date with the latest advancements in AI and ML technologies. +Must have the zeal to experiment with new algorithms and techniques to enhance the capabilities of our AI/ML systems. + + +Required Skills + + +The Ideal candidate have 8+ years of experience in applying AI to practical and comprehensive technology solutions. +Must be an expert in ML, deep learning, TensorFlow, Python, and NLP. +Should have skills like program leadership, governance, and change enablement. +Must have hands-on experience in ChatGPT, and LLMs. +Having knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns. +Must have hands-on experience using Flask, OOPs concepts, GIT, and basic Unix. +Good to have knowledge of reporting tools like Power BI. +Need to have exposure to cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) for model deployment. +Must have experience in REST API development, NoSQL database design, and RDBMS design and optimizations. + + +Note + +Candidates are required to attend Phone/Video Call / In-person interviews and after Selection of candidates (He/She) should go through all background checks on Education and Experience. + +Please email your resume to: bhanupriyam@petadata.co + +After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps. +Show more ","
+ + + + + +
+
+ Position: AI/ML Developer

Location: San Francisco, CA / New York City, NY

Experience: 8-12 years

Work Type: Fulltime

PETADATA is currently looking to hire an AI/ML Developer for FULLTIME.

Role & Responsibilities

  • The Ideal Candidate should have to manage and direct processes and R&D (research and development) to meet the needs of our AI strategy.
  • Should understand the needs of company and client challenges and how integrating AI capabilities can help lead to solutions.
  • Must lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefits.
  • Have to analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.
  • Should have to advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI.
  • Need to work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership.
  • Have to articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation.
  • Must have to manage a team in conducting assessments of the AI and automation market and competitor landscape.
  • Should serve as the liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation.
  • Have to stay up to date with the latest advancements in AI and ML technologies.
  • Must have the zeal to experiment with new algorithms and techniques to enhance the capabilities of our AI/ML systems.

Required Skills

  • The Ideal candidate have 8+ years of experience in applying AI to practical and comprehensive technology solutions.
  • Must be an expert in ML, deep learning, TensorFlow, Python, and NLP.
  • Should have skills like program leadership, governance, and change enablement.
  • Must have hands-on experience in ChatGPT, and LLMs.
  • Having knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns.
  • Must have hands-on experience using Flask, OOPs concepts, GIT, and basic Unix.
  • Good to have knowledge of reporting tools like Power BI.
  • Need to have exposure to cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) for model deployment.
  • Must have experience in REST API development, NoSQL database design, and RDBMS design and optimizations.

Note

Candidates are required to attend Phone/Video Call / In-person interviews and after Selection of candidates (He/She) should go through all background checks on Education and Experience.

Please email your resume to: bhanupriyam@petadata.co

After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3986723069,https://www.linkedin.com/jobs/view/senior-data-scientist-risk-analytics-models-at-sofi-3986723069?position=36&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=z35AJUe7bn957Mr8CjmgGA%3D%3D&trk=public_jobs_jserp-result_search-card,"Senior Data Scientist, Risk Analytics Models",SoFi,"San Francisco, CA","Employee Applicant Privacy Notice + +Who we are: + +Shape a brighter financial future with us. + +Together with our members, we’re changing the way people think about and interact with personal finance. + +We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. + +The role: + +We are looking for a Senior Data Scientist to join our Risk Analytics Modeling Team within Risk Analytics. This team member’s responsibilities include model development and performance monitoring supporting data-driven decision-making within our second line of defense. The Senior Data Scientist will play a key role in developing loss forecasting and CECL models across various SoFi products including but not limited to Personal Loans, Student Loans and Credit Cards. The Senior Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages as well as strong problem solving and communication skills. The ideal candidate should have hands-on knowledge on common loss forecasting methodologies (e.g. econometrics modeling, survival modeling, state transition, Markov Chain etc.) and excellent knowledge of data science, statistical methodologies and machine learning models (e.g. linear regression, logistic regression, decision trees, gradient boosting, random forests, neural network, clustering analysis etc.). + +By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team. + +What you’ll do: + +The Senior Data Scientist will help SoFi develop better data driven modeling solutions by: + + + +Developing quantitative/machine learning models to forecast product losses +Aggregating and synthesizing datasets from multiple data environments +Analyzing complex datasets to understand the performance and drivers for losses across various products +Investigating external credit data to identify trends in the market and industry +Conducting loss sensitivity analysis +Automating models and analytical dashboards +Monitoring the models’ performance and re-calibrating the models as needed +Working with Business Units, Operations, Product, Capital Markets, Finance, Accounting and Risk partners to ensure correct loss expectations and trend of losses are communicated effectively and executed appropriately + + + +What you’ll need: + + + +5+ years of statistical modeling experience with a Master’s or PhD degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a quantitative field +Proficient in Python, SQL & Tableau +Experienced in model development and data analysis +Excellent knowledge of data science, statistical methodologies and machine learning models, e.g. linear regression, logistic regression, decision trees, gradient boosting, random forests, neural network, clustering analysis etc. +Hands-on knowledge on common loss forecasting methodologies, e.g. econometrics modeling, discrete survival modeling, state transition, Markov Chain etc. +Strong communications and presentation skills +Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environment + + + +Nice to have: + + + +Familiarity working with bureau sandbox data a plus +Experience with generating credit reporting dashboard a plus +Experience with developing and productionizing models in the AWS environment a plus + + + +Compensation And Benefits + +The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. + +To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! + +SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. + +The Company hires the best qualified candidate for the job, without regard to protected characteristics. + +Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. + +New York applicants: Notice of Employee Rights + +SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. + +Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. + +Internal Employees + +If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. +Show more ","
+ + + + + +
+
+ Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role:

We are looking for a Senior Data Scientist to join our Risk Analytics Modeling Team within Risk Analytics. This team member’s responsibilities include model development and performance monitoring supporting data-driven decision-making within our second line of defense. The Senior Data Scientist will play a key role in developing loss forecasting and CECL models across various SoFi products including but not limited to Personal Loans, Student Loans and Credit Cards. The Senior Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses. She/He will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk groups. This position requires knowledge of data analytics and modeling using Python and machine learning/analytical packages as well as strong problem solving and communication skills. The ideal candidate should have hands-on knowledge on common loss forecasting methodologies (e.g. econometrics modeling, survival modeling, state transition, Markov Chain etc.) and excellent knowledge of data science, statistical methodologies and machine learning models (e.g. linear regression, logistic regression, decision trees, gradient boosting, random forests, neural network, clustering analysis etc.).

By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.

What you’ll do:

The Senior Data Scientist will help SoFi develop better data driven modeling solutions by:


  • Developing quantitative/machine learning models to forecast product losses
  • Aggregating and synthesizing datasets from multiple data environments
  • Analyzing complex datasets to understand the performance and drivers for losses across various products
  • Investigating external credit data to identify trends in the market and industry
  • Conducting loss sensitivity analysis
  • Automating models and analytical dashboards
  • Monitoring the models’ performance and re-calibrating the models as needed
  • Working with Business Units, Operations, Product, Capital Markets, Finance, Accounting and Risk partners to ensure correct loss expectations and trend of losses are communicated effectively and executed appropriately


What you’ll need:


  • 5+ years of statistical modeling experience with a Master’s or PhD degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a quantitative field
  • Proficient in Python, SQL & Tableau
  • Experienced in model development and data analysis
  • Excellent knowledge of data science, statistical methodologies and machine learning models, e.g. linear regression, logistic regression, decision trees, gradient boosting, random forests, neural network, clustering analysis etc.
  • Hands-on knowledge on common loss forecasting methodologies, e.g. econometrics modeling, discrete survival modeling, state transition, Markov Chain etc.
  • Strong communications and presentation skills
  • Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environment


Nice to have:


  • Familiarity working with bureau sandbox data a plus
  • Experience with generating credit reporting dashboard a plus
  • Experience with developing and productionizing models in the AWS environment a plus


Compensation And Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3997294747,https://www.linkedin.com/jobs/view/junior-machine-learning-engineer-at-hiremefast-llc-3997294747?position=40&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=Y3LUt2n4z%2B%2ByMnozOpXF3w%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Machine Learning Engineer,HireMeFast LLC,"Oakland, CA","This is a remote position. + +DISCLAIMER: This job posting is intended for active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future job openings. Should your application align with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately. Please note that this does not guarantee immediate placement or contact. Additionally, we exclusively consider applications from individuals who are currently reside in the US/Canada during their application process. + +Salary: $62,000 - $72,000 per annum + +Experience Required: Minimum 1 year of project experience + +Role Description + +This is a full-time remote position for an Artificial Intelligence Engineer. The AI Engineer will be responsible for developing and testing AI models, designing and implementing machine learning algorithms, and researching and implementing artificial intelligence techniques. The AI Engineer will also work closely with cross-functional teams to integrate AI/ML solutions. + +Qualifications + + +Strong background in Computer Science and Software Development +Experience in Pattern Recognition, Neural Networks, and Natural Language Processing (NLP) +Experience with relevant programming languages such as Python, C++, and Java +Ability to design, develop, and test AI models and machine learning algorithms +Excellent problem-solving skills and creativity +Experience with cloud computing and big data technologies +Strong verbal and written communication skills +Bachelor's or Master's degree in Computer Science or related field +Show more ","
+ + + + + +
+
+ This is a remote position.

DISCLAIMER: This job posting is intended for active pooling of candidates who will become part of our talent pool. Your qualifications will be assessed against both current and future job openings. Should your application align with a role that corresponds to your skills and experience, and an opportunity arises, our recruitment team will reach out to you immediately. Please note that this does not guarantee immediate placement or contact. Additionally, we exclusively consider applications from individuals who are currently reside in the US/Canada during their application process.

Salary: $62,000 - $72,000 per annum

Experience Required: Minimum 1 year of project experience

Role Description

This is a full-time remote position for an Artificial Intelligence Engineer. The AI Engineer will be responsible for developing and testing AI models, designing and implementing machine learning algorithms, and researching and implementing artificial intelligence techniques. The AI Engineer will also work closely with cross-functional teams to integrate AI/ML solutions.

Qualifications

  • Strong background in Computer Science and Software Development
  • Experience in Pattern Recognition, Neural Networks, and Natural Language Processing (NLP)
  • Experience with relevant programming languages such as Python, C++, and Java
  • Ability to design, develop, and test AI models and machine learning algorithms
  • Excellent problem-solving skills and creativity
  • Experience with cloud computing and big data technologies
  • Strong verbal and written communication skills
  • Bachelor's or Master's degree in Computer Science or related field
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3812450043,https://www.linkedin.com/jobs/view/machine-learning-engineer-new-verticals-at-doordash-3812450043?position=42&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=zuW0%2FA2K9t88gXYTIy%2Ftxg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer - New Verticals,DoorDash,"San Francisco, CA","About The Team + +Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business. + +About The Role + +We’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams. + +You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote. + +You’re Excited About This Opportunity Because You Will… + + +Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building. +Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business. +Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. + + +You can find out more on our ML blog post here + +We're Excited About You Because You Have… + + +1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact +Experience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision. +Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks. +M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields. +The desire for impact with a growth-minded and collaborative mindset + + +About DoorDash + +At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. + +DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. + +Our Commitment to Diversity and Inclusion + +We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. + +Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. + +Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. + +If you need any accommodations, please inform your recruiting contact upon initial connection. + +Compensation + +The location-specific base salary range for this position is listed below. Compensation in other geographies may vary. + +Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information. + +DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others. + +In addition to base salary, the compensation package for this role also includes opportunities for equity grants. + +We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024. + +Please see the independent bias audit report covering our use of Covey here. + +California Pay Range: + +$140,100—$210,100 USD + +New York Pay Range: + +$140,100—$210,100 USD + +Washington Pay Range: + +$140,100—$210,100 USD +Show more ","
+ + + + + +
+
+ About The Team

Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.

About The Role

We’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.

You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.

You’re Excited About This Opportunity Because You Will…

  • Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.
  • Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.
  • Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience.

You can find out more on our ML blog post here

We're Excited About You Because You Have…

  • 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact
  • Experience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.
  • Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.
  • The desire for impact with a growth-minded and collaborative mindset

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Compensation

The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.

Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.

DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.

In addition to base salary, the compensation package for this role also includes opportunities for equity grants.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.

Please see the independent bias audit report covering our use of Covey here.

California Pay Range:

$140,100—$210,100 USD

New York Pay Range:

$140,100—$210,100 USD

Washington Pay Range:

$140,100—$210,100 USD +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3971247499,https://www.linkedin.com/jobs/view/staff-data-scientist-risk-at-cash-app-3971247499?position=44&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=i8CZRZbQoZnChQB0FgKbbA%3D%3D&trk=public_jobs_jserp-result_search-card,Staff Data Scientist - Risk,Cash App,"San Francisco, CA","Company Description + +It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. + +Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. + +Check out our locations, benefits, and more at cash.app/careers. + +Job Description + +Cash App is hiring a Staff Data Scientist to establish and scale a first line risk management program. This individual will be a key strategic partner to the Head of First Line Risk and Monitoring as well as Cash App’s Chief Operating Officer and help develop and implement a data-driven and comprehensive risk management program. + +They will be responsible for leveraging data to enable robust testing and monitoring processes and risk management strategies against existing risks across Cash App’s ecosystem, as well as new and emerging risks. This individual will use data to help facilitate decision-making across various company-wide initiatives and risk programs. + +You will: + + +Perform in-depth analysis of large datasets using SQL and scripting languages to deliver actionable insights and identify opportunities for cross-functional partners and senior management across Cash Product, Business, Compliance, and Legal teams +Approach problems from first principles and apply a systems-thinking approach to solve a diverse array of problems +Develop, forecast, and report on key metrics that drive strategic decisions and facilitate decision-making for critical risk and business initiatives +Become a subject matter expert in first line risk management, anticipating emerging business risks and customer behaviors and understanding their impact on measurement and insights +Establish the framework for a consolidated risk management dashboard, including data and dashboard modeling, ensuring a comprehensive view of risk across the organization +Build and share data visualizations and create self-serve dashboards for partners +Write efficient code for processing, cleansing, and integrating data from various sources, resulting in curated ETL datasets that the broader team can easily utilize + + + +Qualifications + +You have: + + +A bachelor degree in statistics, data science, or similar STEM field with 12+ years of experience in a relevant role OR +A graduate degree in statistics, data science, or similar STEM field with 6-8+ years of experience in a relevant role +Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) +Experience with scripting and data analysis programming languages, such as Python or R +Strong knowledge and hands-on experience in several of the following areas: statistics, optimization, product analytics, causal inference, and/or experimentation +Responsible for the entire analytics process, including problem definition, developing metrics, data extraction and manipulation, visualization, and the creation and implementation of analytical/statistical models +A knack for turning ambiguous problems into clear deliverables and actionable insights +World-class communication skills and the ability to present complex data in a simple and clear manner + + + +Technologies we use and teach: + + +SQL, Snowflake, etc +Python (Pandas, Numpy) +Tableau, Airflow, Looker, Mode, Prefect + + + +Additional Information + +Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. + +Zone A: USD $207,900 - USD $311,900 + +Zone B: USD $207,900 - USD $311,900 + +Zone C: USD $207,900 - USD $311,900 + +Zone D: USD $207,900 - USD $311,900 + +To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. + +Full-time employee benefits include the following: + + +Healthcare coverage (Medical, Vision and Dental insurance) +Health Savings Account and Flexible Spending Account +Retirement Plans including company match +Employee Stock Purchase Program +Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance +Paid parental and caregiving leave +Paid time off (including 12 paid holidays) +Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) +Learning and Development resources +Paid Life insurance, AD&D, and disability benefits + + + +These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. + +We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. + +We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. + +Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. + +Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. + +While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate. +Show more ","
+ + + + + +
+
+ Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

Check out our locations, benefits, and more at cash.app/careers.

Job Description

Cash App is hiring a Staff Data Scientist to establish and scale a first line risk management program. This individual will be a key strategic partner to the Head of First Line Risk and Monitoring as well as Cash App’s Chief Operating Officer and help develop and implement a data-driven and comprehensive risk management program.

They will be responsible for leveraging data to enable robust testing and monitoring processes and risk management strategies against existing risks across Cash App’s ecosystem, as well as new and emerging risks. This individual will use data to help facilitate decision-making across various company-wide initiatives and risk programs.

You will:

  • Perform in-depth analysis of large datasets using SQL and scripting languages to deliver actionable insights and identify opportunities for cross-functional partners and senior management across Cash Product, Business, Compliance, and Legal teams
  • Approach problems from first principles and apply a systems-thinking approach to solve a diverse array of problems
  • Develop, forecast, and report on key metrics that drive strategic decisions and facilitate decision-making for critical risk and business initiatives
  • Become a subject matter expert in first line risk management, anticipating emerging business risks and customer behaviors and understanding their impact on measurement and insights
  • Establish the framework for a consolidated risk management dashboard, including data and dashboard modeling, ensuring a comprehensive view of risk across the organization
  • Build and share data visualizations and create self-serve dashboards for partners
  • Write efficient code for processing, cleansing, and integrating data from various sources, resulting in curated ETL datasets that the broader team can easily utilize


Qualifications

You have:

  • A bachelor degree in statistics, data science, or similar STEM field with 12+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, or similar STEM field with 6-8+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Strong knowledge and hands-on experience in several of the following areas: statistics, optimization, product analytics, causal inference, and/or experimentation
  • Responsible for the entire analytics process, including problem definition, developing metrics, data extraction and manipulation, visualization, and the creation and implementation of analytical/statistical models
  • A knack for turning ambiguous problems into clear deliverables and actionable insights
  • World-class communication skills and the ability to present complex data in a simple and clear manner


Technologies we use and teach:

  • SQL, Snowflake, etc
  • Python (Pandas, Numpy)
  • Tableau, Airflow, Looker, Mode, Prefect


Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $207,900 - USD $311,900

Zone B: USD $207,900 - USD $311,900

Zone C: USD $207,900 - USD $311,900

Zone D: USD $207,900 - USD $311,900

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Full-time employee benefits include the following:

  • Healthcare coverage (Medical, Vision and Dental insurance)
  • Health Savings Account and Flexible Spending Account
  • Retirement Plans including company match
  • Employee Stock Purchase Program
  • Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
  • Paid parental and caregiving leave
  • Paid time off (including 12 paid holidays)
  • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
  • Learning and Development resources
  • Paid Life insurance, AD&D, and disability benefits


These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3843572269,https://www.linkedin.com/jobs/view/machine-learning-engineer-risk-at-stripe-3843572269?position=47&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=jkxakkPbKAA8j9d74OBl3w%3D%3D&trk=public_jobs_jserp-result_search-card,"Machine Learning Engineer, Risk",Stripe,"San Francisco, CA","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’s mission is to build the economic infrastructure for the internet. Risk Engineering brings together machine learning with product development to lower Stripe’s financial and regulatory risk at scale, while retaining a best in class user experience. We build ML and backend systems to catch fraudsters, understand users’ cash flow and financial health, and ensure Stripe’s users are compliant with regulatory and financial partner requirements. We protect Stripe’s brand while also protecting the company from financial losses that can put Stripe’s business at risk. + +The Risk group consists of machine learning, backend, and full stack engineers who tackle this problem through creative new product ideas and impactful machine learning models. We are undertaking several new efforts, where you can have an outsized impact on the architecture, implementation, and design choices behind these systems. + +What you’ll do + +Responsibilities + + +Designing, training, improving & launching models +Proposing and implementing ideas that directly reduce Stripe’s financial losses +Building systems that evaluate businesses for risk and take appropriate actions +Working with our partner teams to launch new policies that directly impact Stripe’s bottom line +Helping engineers across the company to develop technologies for scaling our infrastructure +Debugging production issues across services and multiple levels of the stack + + + +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 + + +Have at least 2 years of industry experience in training ML models +Enjoy and have experience shipping ML models in a large-scale production environment +Hold yourself and others to a high bar when working with production systems +Take pride in taking ownership and driving projects to business impact +Thrive in a collaborative environment + + + +Preferred Qualifications + + +Have experience in Python, Scala (Spark), or Ruby + + + +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 $192,000 - $288,000. 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’s mission is to build the economic infrastructure for the internet. Risk Engineering brings together machine learning with product development to lower Stripe’s financial and regulatory risk at scale, while retaining a best in class user experience. We build ML and backend systems to catch fraudsters, understand users’ cash flow and financial health, and ensure Stripe’s users are compliant with regulatory and financial partner requirements. We protect Stripe’s brand while also protecting the company from financial losses that can put Stripe’s business at risk.

The Risk group consists of machine learning, backend, and full stack engineers who tackle this problem through creative new product ideas and impactful machine learning models. We are undertaking several new efforts, where you can have an outsized impact on the architecture, implementation, and design choices behind these systems.

What you’ll do

Responsibilities

  • Designing, training, improving & launching models
  • Proposing and implementing ideas that directly reduce Stripe’s financial losses
  • Building systems that evaluate businesses for risk and take appropriate actions
  • Working with our partner teams to launch new policies that directly impact Stripe’s bottom line
  • Helping engineers across the company to develop technologies for scaling our infrastructure
  • Debugging production issues across services and multiple levels of the stack


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

  • Have at least 2 years of industry experience in training ML models
  • Enjoy and have experience shipping ML models in a large-scale production environment
  • Hold yourself and others to a high bar when working with production systems
  • Take pride in taking ownership and driving projects to business impact
  • Thrive in a collaborative environment


Preferred Qualifications

  • Have experience in Python, Scala (Spark), or Ruby


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 $192,000 - $288,000. 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,[] +3988211680,https://www.linkedin.com/jobs/view/data-scientist-at-university-of-california-san-francisco-3988211680?position=48&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=UsggOayLgoUbujkStFjv2Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,"University of California, San Francisco","San Francisco, CA","Neuro-Memory and Aging + +Full Time + +80127BR + +Job Summary + +Uses skills as a seasoned, experienced research professional with a full understanding of in-depth statistical analyses and/or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions + +Responsibilities + +The Data Scientist will be responsible for managing, analyzing, and interpreting large-scale, high-dimensional datasets, encompassing both multi-omics data and digital health data (e.g., smartphone-based metrics). The scope of this role includes: + + +Multi-Omics Data Analysis: +Integrate and analyze datasets from various omics platforms, including genomics, transcriptomics, proteomics, and metabolomics. +Develop and apply advanced bioinformatics pipelines and tools for multi-omics data integration and analysis. +Identify biomarkers and molecular signatures associated with neurodegenerative diseases. +High-Dimensional Digital Health Data: +Manage and analyze high-dimensional digital health data collected from smartphones and other wearable devices. +Develop methodologies to process and interpret large-scale digital health datasets. +Combine digital health data with clinical and multi-omics data to gain comprehensive insights into disease progression and patient outcomes. +Expertise in Large-Scale Datasets: +Utilize statistical and computational methods to query, clean, analyze, and visualize large-scale datasets. +Ensure data quality, consistency, and security in handling extensive research data. +Collaborate with cross-functional teams to leverage large-scale data for research and clinical applications. +Stay updated with the latest advancements in data science, bioinformatics, and digital health analytics to continuously improve analytical capabilities. +By integrating and analyzing diverse datasets, the Data Scientist will contribute to advancing our understanding of neurodegenerative diseases and support the development of innovative biomarkers and digital health solutions. + +The final salary and offer components are subject to additional approvals based on UC policy. + +Your placement within the salary range is dependent on several factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. + +The salary range for this position is $84,400 - $120,100 (Annual Rate). + +To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html + +Department Description + +The UCSF Memory and Aging Center (MAC) is an internationally renowned clinical research center with over 200 full-time employees with offices and clinical research space located in the Sandler Neurosciences Building and other buildings on the UCSF Mission Bay Campus. The MAC provides clinical care for patients suffering from neurodegenerative disease processes; from this clinical population, external referrals, and direct recruitment efforts we enroll patients into more than 50 structured research protocols and/or treatment trials. We are a California Alzheimer’s Research Center and a federal Alzheimer’s Disease Research Center. + +Required Qualifications + + +Bachelor's degree in a related area and/or equivalent experience/training. +Thorough skills associated with statistical analysis and systems programming. +Thorough skills in analysis and consultation. +Skills to communicate complex information clearly and concisely both verbally and in writing. +Research skills at a level to evaluate alternate solutions and develop recommendations. +Proven track record of success managing and maintaining accurate data in a complex data environment +Demonstrated proficiency in statistical analysis, data transformation and linking, data systems programming, and/or data schema design and documentation +Ability to multitask and be organized in a dynamic environment with competing priorities +Strong programming skills in R, Python, or similar languages. +Minimum 3+ years of related experience + + +Preferred Qualifications + + +Advanced degree (MS, PhD) in a related area (ex. Neuroscience, Bioinformatics, Data Science, Computational Biology, Psychology, Statistics) and/or equivalent experience/training +Thorough knowledge of research function. +Skills in project management. +Minimum of 5 years of research or clinical data management experience +Experience in data consultation in a cross-functional environment + + +About UCSF + +The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. + +Pride Values + +UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values. + +In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu + +Join us to find a rewarding career contributing to improving healthcare worldwide. + +Equal Employment Opportunity + +The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. + +Organization + +Campus + +Job Code and Payroll Title + +006257 RSCH DATA ANL 3 + +Job Category + +Professional (Non-Clinical), Research and Scientific + +Bargaining Unit + +99 - Policy-Covered (No Bargaining Unit) + +Employee Class + +Career + +Percentage + +100% + +Location + +Mission Bay (SF) + +Shift + +Days + +Shift Length + +8 Hours + +Additional Shift Details + +M-F, 8h/day +Show more ","
+ + + + + +
+
+ Neuro-Memory and Aging

Full Time

80127BR

Job Summary

Uses skills as a seasoned, experienced research professional with a full understanding of in-depth statistical analyses and/or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions

Responsibilities

The Data Scientist will be responsible for managing, analyzing, and interpreting large-scale, high-dimensional datasets, encompassing both multi-omics data and digital health data (e.g., smartphone-based metrics). The scope of this role includes:

  • Multi-Omics Data Analysis:
    • Integrate and analyze datasets from various omics platforms, including genomics, transcriptomics, proteomics, and metabolomics.
    • Develop and apply advanced bioinformatics pipelines and tools for multi-omics data integration and analysis.
    • Identify biomarkers and molecular signatures associated with neurodegenerative diseases.
  • High-Dimensional Digital Health Data:
    • Manage and analyze high-dimensional digital health data collected from smartphones and other wearable devices.
    • Develop methodologies to process and interpret large-scale digital health datasets.
    • Combine digital health data with clinical and multi-omics data to gain comprehensive insights into disease progression and patient outcomes.
  • Expertise in Large-Scale Datasets:
    • Utilize statistical and computational methods to query, clean, analyze, and visualize large-scale datasets.
    • Ensure data quality, consistency, and security in handling extensive research data.
    • Collaborate with cross-functional teams to leverage large-scale data for research and clinical applications.
    • Stay updated with the latest advancements in data science, bioinformatics, and digital health analytics to continuously improve analytical capabilities.
By integrating and analyzing diverse datasets, the Data Scientist will contribute to advancing our understanding of neurodegenerative diseases and support the development of innovative biomarkers and digital health solutions.

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on several factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

The salary range for this position is $84,400 - $120,100 (Annual Rate).

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Department Description

The UCSF Memory and Aging Center (MAC) is an internationally renowned clinical research center with over 200 full-time employees with offices and clinical research space located in the Sandler Neurosciences Building and other buildings on the UCSF Mission Bay Campus. The MAC provides clinical care for patients suffering from neurodegenerative disease processes; from this clinical population, external referrals, and direct recruitment efforts we enroll patients into more than 50 structured research protocols and/or treatment trials. We are a California Alzheimer’s Research Center and a federal Alzheimer’s Disease Research Center.

Required Qualifications

  • Bachelor's degree in a related area and/or equivalent experience/training.
  • Thorough skills associated with statistical analysis and systems programming.
  • Thorough skills in analysis and consultation.
  • Skills to communicate complex information clearly and concisely both verbally and in writing.
  • Research skills at a level to evaluate alternate solutions and develop recommendations.
  • Proven track record of success managing and maintaining accurate data in a complex data environment
  • Demonstrated proficiency in statistical analysis, data transformation and linking, data systems programming, and/or data schema design and documentation
  • Ability to multitask and be organized in a dynamic environment with competing priorities
  • Strong programming skills in R, Python, or similar languages.
  • Minimum 3+ years of related experience

Preferred Qualifications

  • Advanced degree (MS, PhD) in a related area (ex. Neuroscience, Bioinformatics, Data Science, Computational Biology, Psychology, Statistics) and/or equivalent experience/training
  • Thorough knowledge of research function.
  • Skills in project management.
  • Minimum of 5 years of research or clinical data management experience
  • Experience in data consultation in a cross-functional environment

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Organization

Campus

Job Code and Payroll Title

006257 RSCH DATA ANL 3

Job Category

Professional (Non-Clinical), Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

Mission Bay (SF)

Shift

Days

Shift Length

8 Hours

Additional Shift Details

M-F, 8h/day +
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",2024-08-01,[] +3620845206,https://www.linkedin.com/jobs/view/data-scientist-at-coinbase-3620845206?position=50&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=f3zjVPJS1Z9iqDVK7XmHKA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Coinbase,"San Francisco, CA","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. + + +Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. + +What You'll Be Doing + + +Perform analyses on products to answer open-ended questions and provide strategic recommendations. +Design and guide experiments/analysis to measure impact and drive product improvements. +Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis. + + +What We Look For In You + + +At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience. +Experience driving impact for a digital product with an iterative development cycle. +Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.). +Experience in data analyses using SQL. +Experience in programming/modeling in Python. +Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. + + +ID: G2462 + +Pay Transparency Notice: Depending on your work location, 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, vision and 401(k)). + +Pay Range + +$140,250—$165,000 USD + +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.

Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.

What You'll Be Doing

  • Perform analyses on products to answer open-ended questions and provide strategic recommendations.
  • Design and guide experiments/analysis to measure impact and drive product improvements.
  • Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis.

What We Look For In You

  • At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience.
  • Experience driving impact for a digital product with an iterative development cycle.
  • Understanding of statistical concepts and practical experience applying them (in A|B testing, causal inference, ML, etc.).
  • Experience in data analyses using SQL.
  • Experience in programming/modeling in Python.
  • Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

ID: G2462

Pay Transparency Notice: Depending on your work location, 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, vision and 401(k)).

Pay Range

$140,250—$165,000 USD

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. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3962656325,https://www.linkedin.com/jobs/view/data-scientist-instagram-capacity-at-instagram-3962656325?position=53&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=uC5aSR3nYy%2BLJVSCRuf5%2Fw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Instagram Capacity,Instagram,"San Francisco, CA","As the most experienced Data Scientist on Instagram's Capacity Team, you have the opportunity to shape the compute and storage strategy for an app that serves content to over a 2 Billion per month. This strategy will inform the investments we are able to take on and will shape the future of people-facing and business-facing products we build. You will collaborate with our internal Instagram Capacity Team, in addition to several other teams within Instagram (like our Ranking and Algorithms teams, our forecasting team, ecosystems team) as well as several teams throughout the company including Capacity teams throughout Meta and the CFO organization responsible for our compute spending. 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 - Instagram Capacity 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: + + +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. +A minimum of 10 years of work experience in analytics +Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) + + +Preferred Qualifications: + + +Experience working with Data Infrastructure teams +Familiarity with time series forecasting tools such as ARIMA, Prophet, LSTM etc +Experience working with Finance Teams + + +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. + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +$206,000/year to $281,000/year + bonus + equity + benefits + +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 the most experienced Data Scientist on Instagram's Capacity Team, you have the opportunity to shape the compute and storage strategy for an app that serves content to over a 2 Billion per month. This strategy will inform the investments we are able to take on and will shape the future of people-facing and business-facing products we build. You will collaborate with our internal Instagram Capacity Team, in addition to several other teams within Instagram (like our Ranking and Algorithms teams, our forecasting team, ecosystems team) as well as several teams throughout the company including Capacity teams throughout Meta and the CFO organization responsible for our compute spending. 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 - Instagram Capacity 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:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • A minimum of 10 years of work experience in analytics
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications:

  • Experience working with Data Infrastructure teams
  • Familiarity with time series forecasting tools such as ARIMA, Prophet, LSTM etc
  • Experience working with Finance Teams

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$206,000/year to $281,000/year + bonus + equity + benefits

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.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-10,[] +3974452539,https://www.linkedin.com/jobs/view/applied-scientist-at-twitch-3974452539?position=54&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=TZLVxbQdiA86vAG4NNCtQQ%3D%3D&trk=public_jobs_jserp-result_search-card,Applied Scientist,Twitch,"San Francisco, CA","About Us + +Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. + +We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and Twitter, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. + +About The Role + +We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of recommendations, search, ranking and information retrieval. As an Applied Scientist on Twitch's Community team, you will use ML to help viewers find streamers and communities they’ll love. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities. + +You will report to the Applied Science Manager on the Community Discovery Team. This position is located in San Francisco, CA. + +You Will: + + + +Develop and Productionize ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch. +Collaborate with our Product and Engineering teams to work backwards from customer discovery problems, to determine the ML solution (algorithm and pipeline) to have the biggest impact on our user base in the real world. +Participate in the scientific community at Twitch, Amazon, and the broader ML and risk community. + + + +You Have: + + + +BS in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or equivalent relevant industry experience. We welcome applicants with non-traditional backgrounds. +Hands-on experience with predictive modeling and analysis to solve real-world problems. +Proficiency with Python and Deep Learning Frameworks such as PyTorch or TensorFlow, basic proficiency with SQL. + + + +Bonus Points + + + +MS or Ph.D. in relevant field or a Degree with a specialization in Machine Learning. +Experience shipping your ML models to production. +1+ years of experience working in the recommendations or search. +Papers in top ML conferences of journals such as NeurIPS, RecSys, ICLR, ICML etc. +Familiarity with Twitch, its business, and its community. + + + +Perks + + + +Medical, Dental, Vision & Disability Insurance +401(k) +Maternity & Parental Leave +Flexible PTO +Amazon Employee Discount + + + +We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. + +Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. + +Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates. + +Job ID: TW8532 + +Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site. + +Remote US Pay Per Year + +$129,400—$212,800 USD +Show more ","
+ + + + + +
+
+ About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and Twitter, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About The Role

We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of recommendations, search, ranking and information retrieval. As an Applied Scientist on Twitch's Community team, you will use ML to help viewers find streamers and communities they’ll love. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.

You will report to the Applied Science Manager on the Community Discovery Team. This position is located in San Francisco, CA.

You Will:


  • Develop and Productionize ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.
  • Collaborate with our Product and Engineering teams to work backwards from customer discovery problems, to determine the ML solution (algorithm and pipeline) to have the biggest impact on our user base in the real world.
  • Participate in the scientific community at Twitch, Amazon, and the broader ML and risk community.


You Have:


  • BS in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or equivalent relevant industry experience. We welcome applicants with non-traditional backgrounds.
  • Hands-on experience with predictive modeling and analysis to solve real-world problems.
  • Proficiency with Python and Deep Learning Frameworks such as PyTorch or TensorFlow, basic proficiency with SQL.


Bonus Points


  • MS or Ph.D. in relevant field or a Degree with a specialization in Machine Learning.
  • Experience shipping your ML models to production.
  • 1+ years of experience working in the recommendations or search.
  • Papers in top ML conferences of journals such as NeurIPS, RecSys, ICLR, ICML etc.
  • Familiarity with Twitch, its business, and its community.


Perks


  • Medical, Dental, Vision & Disability Insurance
  • 401(k)
  • Maternity & Parental Leave
  • Flexible PTO
  • Amazon Employee Discount


We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

Job ID: TW8532

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.

Remote US Pay Per Year

$129,400—$212,800 USD +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3815980090,https://www.linkedin.com/jobs/view/machine-learning-engineer-delivery-excellence-at-doordash-3815980090?position=58&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=Tzn%2FMTf1NxRTGY%2BB%2FYT2Fg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer - Delivery Excellence,DoorDash,"San Francisco, CA","About The Team + +Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the delivery service quality for DoorDash's three-sided marketplace of consumers, merchants, and dashers. As a fundamental area of investment for DoorDash, Delivery Excellence has among the coolest problems to solve at scale and creates a major impact on the company and our customers. We are looking for Machine Learning Engineers, Economists, Mathematicians, Statisticians, and Senior Quantitative Researchers from all disciplines. + +About The Role + +As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers. + +You’re Excited About This Opportunity Because You Will… + + +Build statistical and ML models that run in production to help enhance the consumer experience by reducing cancellations, pickup waiting times, delivery lateness, missing and incorrect items and non fulfilled orders +Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance +Being exposed to new opportunities where delivery quality can be used as a lever for demand shaping, search ranking, customer segmentation, etc +Mentor and uplevel a talented team of ML Engineers +You can find out more on our ML blog post here + + +We’re Excited About You Because… + + +High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down +You’re an owner — driven, focused, and quick to take ownership of your work +Humble — you’re willing to jump in and you’re open to feedback +Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up! +Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting +Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team + + +Experience + + +1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact +M.S., or PhD. in Machine Learning, Statistics, Computer Science, Applied Mathematics or other related quantitative fields +Demonstrated expertise with programming languages, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc +Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting and Experimentation +Experience of shipping production-grade ML models and optimization systems, and designing sophisticated experimentation techniques +You are located or are planning to relocate to San Francisco, CA, Sunnyvale, CA, or Seattle, WA + + +About DoorDash + +At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. + +DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. + +Our Commitment to Diversity and Inclusion + +We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. + +Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. + +Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. + +If you need any accommodations, please inform your recruiting contact upon initial connection. + +Compensation + +The location-specific base salary range for this position is listed below. Compensation in other geographies may vary. + +Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information. + +DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others. + +In addition to base salary, the compensation package for this role also includes opportunities for equity grants. + +We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024. + +Please see the independent bias audit report covering our use of Covey here. + +California Pay Range: + +$140,100—$255,800 USD + +Washington Pay Range: + +$140,100—$255,800 USD +Show more ","
+ + + + + +
+
+ About The Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the delivery service quality for DoorDash's three-sided marketplace of consumers, merchants, and dashers. As a fundamental area of investment for DoorDash, Delivery Excellence has among the coolest problems to solve at scale and creates a major impact on the company and our customers. We are looking for Machine Learning Engineers, Economists, Mathematicians, Statisticians, and Senior Quantitative Researchers from all disciplines.

About The Role

As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.

You’re Excited About This Opportunity Because You Will…

  • Build statistical and ML models that run in production to help enhance the consumer experience by reducing cancellations, pickup waiting times, delivery lateness, missing and incorrect items and non fulfilled orders
  • Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance
  • Being exposed to new opportunities where delivery quality can be used as a lever for demand shaping, search ranking, customer segmentation, etc
  • Mentor and uplevel a talented team of ML Engineers
  • You can find out more on our ML blog post here

We’re Excited About You Because…

  • High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
  • You’re an owner — driven, focused, and quick to take ownership of your work
  • Humble — you’re willing to jump in and you’re open to feedback
  • Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!
  • Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
  • Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team

Experience

  • 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impact
  • M.S., or PhD. in Machine Learning, Statistics, Computer Science, Applied Mathematics or other related quantitative fields
  • Demonstrated expertise with programming languages, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc
  • Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting and Experimentation
  • Experience of shipping production-grade ML models and optimization systems, and designing sophisticated experimentation techniques
  • You are located or are planning to relocate to San Francisco, CA, Sunnyvale, CA, or Seattle, WA

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Compensation

The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.

Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.

DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.

In addition to base salary, the compensation package for this role also includes opportunities for equity grants.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.

Please see the independent bias audit report covering our use of Covey here.

California Pay Range:

$140,100—$255,800 USD

Washington Pay Range:

$140,100—$255,800 USD +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3992218574,https://www.linkedin.com/jobs/view/data-scientist-social-at-roblox-3992218574?position=59&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=zWccg3WmUSiLRW0zVw5Alg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Social,Roblox,"San Mateo, CA","Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. + +At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. + +A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. + +WHY DATA SCIENCE & ANALYTICS? + +The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of our business decisions and to empower and scale product innovations. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers. + +WHY SOCIAL? + +Roblox is a social platform with billions of friendships. Our company vision is to connect a billion users with safety and civility. Our Social teams are pioneering the way users communicate and co experience in the metaverse. As a Data Scientist within our Social team, you'll leverage your technical chops to influence Social product strategy. + +You Will + + +Develop and propose strategies for improving communication and co-experience products on Roblox. +Analyze feature adoption, engagement and monetization and highlight areas of opportunity. +Conduct metric research to understand tradeoffs between voice engagement and safety and performance. +Design and evaluate A/B tests autonomously, and drive our understanding of leverage in the context of experiments. +Develop opportunity sizing models, metric targets, and own reporting and metric narratives shared with c-suite. +Establish foundational metrics framework and reporting; partner with engineers to scale foundational datasets to drive insights + + +You Have + + +An Advanced or equivalent Degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or another technical field +4+ years of industry or equivalent experience in Data Science and Analytics +4+ years of experience using big data query/processing languages such as SQL, PostgreSQL, Hive, or Spark to transform/manipulate extensive datasets +4+ years of experience in one or more scripting languages such as Python or R +Experience building a team from scratch as an individual contributor +Experience working with content platforms, specifically user-generated content +The ability to use analytics results and data storytelling to influence product teams and leaders + + +For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits. + +Annual Salary Range + +$200,740—$253,430 USD + +Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted). + +You’ll Love + + +Industry-leading compensation package +Excellent medical, dental, and vision coverage +A rewarding 401k program +Flexible vacation policy +Roflex - Flexible and supportive work policy +Roblox Admin badge for your avatar +At Roblox HQ: +Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks +Onsite fitness center and fitness program credit +Annual CalTrain Go Pass + +Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process. +Show more ","
+ + + + + +
+
+ Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

WHY DATA SCIENCE & ANALYTICS?

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of our business decisions and to empower and scale product innovations. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers.

WHY SOCIAL?

Roblox is a social platform with billions of friendships. Our company vision is to connect a billion users with safety and civility. Our Social teams are pioneering the way users communicate and co experience in the metaverse. As a Data Scientist within our Social team, you'll leverage your technical chops to influence Social product strategy.

You Will

  • Develop and propose strategies for improving communication and co-experience products on Roblox.
  • Analyze feature adoption, engagement and monetization and highlight areas of opportunity.
  • Conduct metric research to understand tradeoffs between voice engagement and safety and performance.
  • Design and evaluate A/B tests autonomously, and drive our understanding of leverage in the context of experiments.
  • Develop opportunity sizing models, metric targets, and own reporting and metric narratives shared with c-suite.
  • Establish foundational metrics framework and reporting; partner with engineers to scale foundational datasets to drive insights

You Have

  • An Advanced or equivalent Degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or another technical field
  • 4+ years of industry or equivalent experience in Data Science and Analytics
  • 4+ years of experience using big data query/processing languages such as SQL, PostgreSQL, Hive, or Spark to transform/manipulate extensive datasets
  • 4+ years of experience in one or more scripting languages such as Python or R
  • Experience building a team from scratch as an individual contributor
  • Experience working with content platforms, specifically user-generated content
  • The ability to use analytics results and data storytelling to influence product teams and leaders

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.

Annual Salary Range

$200,740—$253,430 USD

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

You’ll Love

  • Industry-leading compensation package
  • Excellent medical, dental, and vision coverage
  • A rewarding 401k program
  • Flexible vacation policy
  • Roflex - Flexible and supportive work policy
  • Roblox Admin badge for your avatar
  • At Roblox HQ:
    • Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
    • Onsite fitness center and fitness program credit
    • Annual CalTrain Go Pass
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3983450699,https://www.linkedin.com/jobs/view/machine-learning-engineer-at-uber-3983450699?position=60&pageNum=0&refId=NQcqCKT%2F2MMpN2mCRWSnTw%3D%3D&trackingId=a0RTKRdyrPLWFguX42GvUQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Uber,"San Francisco, CA","About The Role + +The Coordinated Structural Pricing and Simulator team is at the center of managing Uber's pricing and marketplace balance all over the world. Our team is responsible for controlling the balance of Mobility pricing in order to aggressively achieve growth, while maintaining a healthy marketplace. We achieve this goal by employing a variety of techniques, including machine learning, experimentation and causal-ML, economic modeling, and simulation and optimization. Our problem space sits at the intersection of machine learning and economics, and is a unique opportunity to leverage rich data to build high-quality simulations and do sophisticated policy optimizations. We are actively working on a new pricing and simulation tech focused on highly accurate forecasting and exploring many different avenues for simulation, both ML-driven and structural economics-driven. We are looking for candidates who are proficient in coding and building numerical models and simulation, as well as those who have prior experience in one or more of the areas: experimentation and causal ML, economic modeling, supervised machine learning, and reinforcement learning. + +What The Candidate Will Do + + +Design and build Machine Learning models with optimization engines. +Productionize and deploy these models for real-world application. +Review code and designs of teammates, providing constructive feedback. +Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product. + + +Basic Qualifications: + + +Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 2+ years of full-time engineering experience or PhD new grad +Experience working with multiple multi-functional teams(product, science, product ops etc). +Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++). + + +Preferred Qualifications: + + +1+ year of ML/economics experience and building ML/economic models +Experience with the design and architecture of ML systems and workflows. +Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments. +Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact. +Experience with optimizing Spark queries for better CPU and memory efficiency. +Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, JAX, Ray, etc. +Experience owning and delivering a technically challenging, multi-quarter project end to end. +Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc. + + +For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. +Show more ","
+ + + + + +
+
+ About The Role

The Coordinated Structural Pricing and Simulator team is at the center of managing Uber's pricing and marketplace balance all over the world. Our team is responsible for controlling the balance of Mobility pricing in order to aggressively achieve growth, while maintaining a healthy marketplace. We achieve this goal by employing a variety of techniques, including machine learning, experimentation and causal-ML, economic modeling, and simulation and optimization. Our problem space sits at the intersection of machine learning and economics, and is a unique opportunity to leverage rich data to build high-quality simulations and do sophisticated policy optimizations. We are actively working on a new pricing and simulation tech focused on highly accurate forecasting and exploring many different avenues for simulation, both ML-driven and structural economics-driven. We are looking for candidates who are proficient in coding and building numerical models and simulation, as well as those who have prior experience in one or more of the areas: experimentation and causal ML, economic modeling, supervised machine learning, and reinforcement learning.

What The Candidate Will Do

  • Design and build Machine Learning models with optimization engines.
  • Productionize and deploy these models for real-world application.
  • Review code and designs of teammates, providing constructive feedback.
  • Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.

Basic Qualifications:

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 2+ years of full-time engineering experience or PhD new grad
  • Experience working with multiple multi-functional teams(product, science, product ops etc).
  • Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

Preferred Qualifications:

  • 1+ year of ML/economics experience and building ML/economic models
  • Experience with the design and architecture of ML systems and workflows.
  • Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
  • Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
  • Experience with optimizing Spark queries for better CPU and memory efficiency.
  • Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, JAX, Ray, etc.
  • Experience owning and delivering a technically challenging, multi-quarter project end to end.
  • Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc.

For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3982460838,https://www.linkedin.com/jobs/view/data-scientist-l5-identity-algorithms-at-netflix-3982460838?position=3&pageNum=2&refId=zjelRxEaulHxus%2F08aO0FA%3D%3D&trackingId=hgz8ZHT5I0fR4sCvYcOV3A%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (L5) - Identity Algorithms,Netflix,"Los Gatos, CA","Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. + +The Role + +About + +Netflix is one of the world's leading entertainment services with 270 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. As Netflix expands into delivering a broader range of entertainment options and business models, it is increasingly important we build a holistic and personal view of who our consumers are. We are looking for a Senior Data Scientist to support the vision, strategies, and development of new systems that provide intelligence about our consumers. This high-impact role will be pivotal in uncovering opportunities, influencing product decisions, and informing future directions. The ideal candidate will excel in opportunity discovery, experimentation & causal inference studies, cross-functional & cross-domain collaboration, and share a passion for enabling more at-scale data science applications to continuously improve the holistic understanding of our consumers. In this role, you will: + + +Be a strong thought partner influencing strategic decision-making through data-driven insights and recommendations. +Proactively identify and perform data exploration to inform future product directions. +Make data-driven recommendations for opportunities, prioritization, and resource allocation. +Understand where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items. +Effectively identify and apply analytics, experimentation, and causal inference techniques for business problems. +Develop and validate the appropriate metrics to measure success in a given product area. +Cultivate strong partnerships with cross-functional partners from product, engineering, design, consumer research, etc. +Cultivate strong partnerships with cross-domain partners from Content, Ads, Games, Personalization, etc. +Present your research and insights to all levels of the company. + + +You Are + + +A highly skilled professional with expertise in product knowledge and intuition, ideally applied in consumer product development settings. +A statistical expert with strong statistical knowledge and intuition, ideally applied in experimentation and observational causal studies settings. +Proficient in quantitative programming languages, such as Python or R. +Skilled in SQL and familiar with distributed data stores like S3, Presto, Hive, and Spark. +Highly effective in engaging with diverse stakeholders and adept at cultivating strong partnerships. +Excellent with communication, conveying technical content to non-technical audiences, and collaborating across different functions to ensure real business impact. +Strategic-minded, impact-driven, and able to incorporate a larger business context into data questions and product development. +Passionate about driving and influencing product strategies in a fast-paced, cross-functional environment. +Comfortable with ambiguity, demonstrating the capability to thrive with minimal oversight and navigate complex processes. +Experience in building real-world machine learning models with demonstrated impact is a plus. +Familiarity with software engineering practice and working with APIs is a plus. + + +Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here. Netflix is a unique culture and environment. Learn more here. + +We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. + +Job is open for no less than 20 days and will be removed when the position is filled. +Show more ","
+ + + + + +
+
+ Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

About

Netflix is one of the world's leading entertainment services with 270 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. As Netflix expands into delivering a broader range of entertainment options and business models, it is increasingly important we build a holistic and personal view of who our consumers are. We are looking for a Senior Data Scientist to support the vision, strategies, and development of new systems that provide intelligence about our consumers. This high-impact role will be pivotal in uncovering opportunities, influencing product decisions, and informing future directions. The ideal candidate will excel in opportunity discovery, experimentation & causal inference studies, cross-functional & cross-domain collaboration, and share a passion for enabling more at-scale data science applications to continuously improve the holistic understanding of our consumers. In this role, you will:

  • Be a strong thought partner influencing strategic decision-making through data-driven insights and recommendations.
  • Proactively identify and perform data exploration to inform future product directions.
  • Make data-driven recommendations for opportunities, prioritization, and resource allocation.
  • Understand where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items.
  • Effectively identify and apply analytics, experimentation, and causal inference techniques for business problems.
  • Develop and validate the appropriate metrics to measure success in a given product area.
  • Cultivate strong partnerships with cross-functional partners from product, engineering, design, consumer research, etc.
  • Cultivate strong partnerships with cross-domain partners from Content, Ads, Games, Personalization, etc.
  • Present your research and insights to all levels of the company.

You Are

  • A highly skilled professional with expertise in product knowledge and intuition, ideally applied in consumer product development settings.
  • A statistical expert with strong statistical knowledge and intuition, ideally applied in experimentation and observational causal studies settings.
  • Proficient in quantitative programming languages, such as Python or R.
  • Skilled in SQL and familiar with distributed data stores like S3, Presto, Hive, and Spark.
  • Highly effective in engaging with diverse stakeholders and adept at cultivating strong partnerships.
  • Excellent with communication, conveying technical content to non-technical audiences, and collaborating across different functions to ensure real business impact.
  • Strategic-minded, impact-driven, and able to incorporate a larger business context into data questions and product development.
  • Passionate about driving and influencing product strategies in a fast-paced, cross-functional environment.
  • Comfortable with ambiguity, demonstrating the capability to thrive with minimal oversight and navigate complex processes.
  • Experience in building real-world machine learning models with demonstrated impact is a plus.
  • Familiarity with software engineering practice and working with APIs is a plus.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here. Netflix is a unique culture and environment. Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 20 days and will be removed when the position is filled. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-24,[] +3811302909,https://www.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-3811302909?position=5&pageNum=2&refId=zjelRxEaulHxus%2F08aO0FA%3D%3D&trackingId=UZnqDmyCkA3JpG%2B92iNN4w%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Product Analytics",Meta,"Burlingame, CA","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) +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. + + +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. + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +$173,000/year to $242,000/year + bonus + equity + benefits + +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)
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$173,000/year to $242,000/year + bonus + equity + benefits

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,[] +3972730804,https://www.linkedin.com/jobs/view/senior-data-scientist-at-sofi-3972730804?position=6&pageNum=2&refId=zjelRxEaulHxus%2F08aO0FA%3D%3D&trackingId=qbZweiS04fZEUFLFdSN9tA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,SoFi,"San Francisco, CA","Employee Applicant Privacy Notice + +Who we are: + +Shape a brighter financial future with us. + +Together with our members, we’re changing the way people think about and interact with personal finance. + +We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. + +The Role + +We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi, supporting SoFi’s B2B business channel called SoFi At Work. The goal of this platform is to provide new ways for our partners to help their employees get their money right across every life stage. + +Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. + +This role + +What you’ll do: + + + +Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions. +Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics. +Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports. +Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams. +Build self-service systems to enable others in the organization to leverage your work. +Analyze and perform statistical analysis on data that underlies product experiments. +Build models to help decision makers understand customer behaviors and segmentation +You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast. + + + +What you’ll need: + + + +Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field. +4+ years of relevant work experience +Intellectual curiosity and aptitude to pick up new technical skills +Exceptional problem-solving skills +Ability to initiate and drive projects to completion with minimal guidance +High EQ with ability to influence outcomes and communicate technical content to general audiences +Strong programming skills in SQL, Python and proficiency in Tableau +Experience with experimentation and hypothesis testing +Ability to work in a dynamic, cross-functional environment, with strong attention to detail +Strong relationship building and collaborative skills +Experience with using DBT/Airflow to build Data Pipelines in Snowflake + + + +Compensation And Benefits + +The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. + +To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! + +SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. + +The Company hires the best qualified candidate for the job, without regard to protected characteristics. + +Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. + +New York applicants: Notice of Employee Rights + +SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. + +Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. + +Internal Employees + +If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. +Show more ","
+ + + + + +
+
+ Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The Role

We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights. This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi, supporting SoFi’s B2B business channel called SoFi At Work. The goal of this platform is to provide new ways for our partners to help their employees get their money right across every life stage.

Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together.

This role

What you’ll do:


  • Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
  • Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
  • Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.
  • Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams.
  • Build self-service systems to enable others in the organization to leverage your work.
  • Analyze and perform statistical analysis on data that underlies product experiments.
  • Build models to help decision makers understand customer behaviors and segmentation
  • You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast.


What you’ll need:


  • Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field.
  • 4+ years of relevant work experience
  • Intellectual curiosity and aptitude to pick up new technical skills
  • Exceptional problem-solving skills
  • Ability to initiate and drive projects to completion with minimal guidance
  • High EQ with ability to influence outcomes and communicate technical content to general audiences
  • Strong programming skills in SQL, Python and proficiency in Tableau
  • Experience with experimentation and hypothesis testing
  • Ability to work in a dynamic, cross-functional environment, with strong attention to detail
  • Strong relationship building and collaborative skills
  • Experience with using DBT/Airflow to build Data Pipelines in Snowflake


Compensation And Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3876164107,https://www.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-3876164107?position=7&pageNum=2&refId=zjelRxEaulHxus%2F08aO0FA%3D%3D&trackingId=TTSmU5NVoEEYwK8yUSu0sg%3D%3D&trk=public_jobs_jserp-result_search-card,"Data Scientist, Product Analytics",Meta,"San Francisco, CA","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) +Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. + + +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. + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +$173,000/year to $242,000/year + bonus + equity + benefits + +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)
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$173,000/year to $242,000/year + bonus + equity + benefits

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,[] +3818210284,https://www.linkedin.com/jobs/view/machine-learning-engineer-forecast-platform-at-doordash-3818210284?position=8&pageNum=2&refId=zjelRxEaulHxus%2F08aO0FA%3D%3D&trackingId=Ly9UAjICsengsX%2Bu0kiU1Q%3D%3D&trk=public_jobs_jserp-result_search-card,"Machine Learning Engineer, Forecast Platform",DoorDash,"Sunnyvale, CA","About The Team + +Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series. + +About The Role + +As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers. + +You’re Excited About This Opportunity Because You Will… + + +Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotions +Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance +Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilities +Research new tools within the Forecasting space (e.g. TimeGPT, LLM extensions) +You can find out more on our ML blog post here + + +We’re Excited About You Because… + + +High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down +You’re an owner — driven, focused, and quick to take ownership of your work +Humble — you’re willing to jump in and you’re open to feedback +Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up! +Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting +Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team + + +Experience + + +M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production +Demonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc +Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting +Experience of shipping production-grade ML models and optimization systems + + +About DoorDash + +At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. + +DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. + +Our Commitment to Diversity and Inclusion + +We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. + +Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. + +Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. + +If you need any accommodations, please inform your recruiting contact upon initial connection. + +Compensation + +The location-specific base salary range for this position is listed below. Compensation in other geographies may vary. + +Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information. + +DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others. + +In addition to base salary, the compensation package for this role also includes opportunities for equity grants. + +We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024. + +Please see the independent bias audit report covering our use of Covey here. + +California Pay Range: + +$140,100—$210,100 USD + +Washington Pay Range: + +$140,100—$210,100 USD +Show more ","
+ + + + + +
+
+ About The Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series.

About The Role

As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.

You’re Excited About This Opportunity Because You Will…

  • Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotions
  • Own the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance
  • Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilities
  • Research new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)
  • You can find out more on our ML blog post here

We’re Excited About You Because…

  • High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
  • You’re an owner — driven, focused, and quick to take ownership of your work
  • Humble — you’re willing to jump in and you’re open to feedback
  • Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!
  • Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
  • Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team

Experience

  • M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production
  • Demonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etc
  • Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting
  • Experience of shipping production-grade ML models and optimization systems

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Compensation

The location-specific base salary range for this position is listed below. Compensation in other geographies may vary.

Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.

DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.

In addition to base salary, the compensation package for this role also includes opportunities for equity grants.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.

Please see the independent bias audit report covering our use of Covey here.

California Pay Range:

$140,100—$210,100 USD

Washington Pay Range:

$140,100—$210,100 USD +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3961795912,https://www.linkedin.com/jobs/view/senior-data-scientist-business-intelligence-at-nextdoor-3961795912?position=9&pageNum=2&refId=zjelRxEaulHxus%2F08aO0FA%3D%3D&trackingId=nwZwercmlDOQuYGhlnMuFA%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - Business Intelligence,Nextdoor,"San Francisco, CA","#TeamNextdoor + +Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. + +Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries. + +Meet Your Future Neighbors + +Product finance, strategy and operations (“Product FSO”) is committed to driving growth through new user acquisition and increasing engagement amongst our existing user base of Neighbors. Today, we work closely with product and engineering teams to understand the impact and trends across growth and engagement while building and maintaining quarterly and long-range forecasts. Historically, we’ve been strong in our reporting and forecasting; however, are still building the bandwidth and capabilities to dive deeper into our data to better understand “why” we’re seeing what we’re seeing to subsequently get to “what” we should be doing about it. + +We are looking for an entrepreneurial and driven Senior Data Scientist to build these Business Intelligence capabilities and establish the foundation of our data and analytics work. You will work closely with various cross-functional teams such as product, engineering, etc. to develop a BI layer and assist us in better understanding key metrics through causal analyses, data tooling, and dashboarding. Successful candidates will exhibit technical acumen, product sense and business savvy. You are passionate about leveraging the power of data to drive product changes with quality and agility. You are a team player. + +At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees. + +The Impact You’ll Make + +Role + +The work of Product FSO is essential to the growth and success of the company and involves frequent opportunities to showcase key metrics and findings to senior leadership. In this role, you will: + + +Partner closely with Finance and ProdDev leads to identifying strategic, high-impact analytical problems and innovative ways to solve them with data +Insight discovery: Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations. Additionally, analyze data to identify trends, discrepancies, and opportunities for improvement. Provide actionable recommendations and insights to senior management to facilitate informed decision-making +Analytics and Forecasting: Conduct statistical analyses and modeling, exploratory/causal analysis, and metric development to uncover data insights that in turn better inform key decisions and enable driver-based forecasting of user activity. +Performance management support: Assist in our weekly performance tracking and management of business operations. Ensure accuracy and timeliness in performance reporting, helping the team meet its short and long-term objectives +Analytics foundation: Partner with our Analytics Engineering team to create and maintain a solid data foundation using advanced data analysis tools and techniques. Extract and manipulate large datasets to create meaningful metrics and insights that inform strategic decisions +Collaboration: Facilitate data ownership and accountability by closely partnering with data science, product, and engineering partners to improve data robustness +Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises +Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values + + +What You’ll Bring To The Team + + +6 - 8+ years working in data science, product analytics, or business intelligence, or equivalent (starting level is flexible) +Strategic-minded, impact-driven, and capable of incorporating larger business context into data questions and product development +Experience architecting, debugging, and executing SQL queries +Excellent knowledge of Looker (preferred) or another BI/visualization tool +Comfortable knowledge of Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn +Comfort with methods, tools, and packages for statistical modeling and machine learning +Experience formulating, running, and sharing complex analyses, including different types of experiments, cohort retention studies, and other exploratory analysis work +Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark +Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders +Curiosity about how things work, from both a business and technical perspective +A self-starter who thrives under a high level of ambiguity and autonomy + + +It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us! + +Bonus Points + + +Past experience in solving problems in Finance or other business-facing areas +Work experience related to social or community-based products +Work experience related to small businesses and marketplaces +Work experience related to advertising and auction systems +Expertise deploying models to production +Expertise in testing and evaluating the impact of network effects +Knowledge of web applications and service-oriented architecture + + +Rewards + +Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. + +The starting salary for this role is expected to range from $175,000 to $210,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. + +We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. + +Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care. + +At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. + +For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +Show more ","
+ + + + + +
+
+ #TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 315,000 neighborhoods across 11 countries.

Meet Your Future Neighbors

Product finance, strategy and operations (“Product FSO”) is committed to driving growth through new user acquisition and increasing engagement amongst our existing user base of Neighbors. Today, we work closely with product and engineering teams to understand the impact and trends across growth and engagement while building and maintaining quarterly and long-range forecasts. Historically, we’ve been strong in our reporting and forecasting; however, are still building the bandwidth and capabilities to dive deeper into our data to better understand “why” we’re seeing what we’re seeing to subsequently get to “what” we should be doing about it.

We are looking for an entrepreneurial and driven Senior Data Scientist to build these Business Intelligence capabilities and establish the foundation of our data and analytics work. You will work closely with various cross-functional teams such as product, engineering, etc. to develop a BI layer and assist us in better understanding key metrics through causal analyses, data tooling, and dashboarding. Successful candidates will exhibit technical acumen, product sense and business savvy. You are passionate about leveraging the power of data to drive product changes with quality and agility. You are a team player.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.

The Impact You’ll Make

Role

The work of Product FSO is essential to the growth and success of the company and involves frequent opportunities to showcase key metrics and findings to senior leadership. In this role, you will:

  • Partner closely with Finance and ProdDev leads to identifying strategic, high-impact analytical problems and innovative ways to solve them with data
  • Insight discovery: Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations. Additionally, analyze data to identify trends, discrepancies, and opportunities for improvement. Provide actionable recommendations and insights to senior management to facilitate informed decision-making
  • Analytics and Forecasting: Conduct statistical analyses and modeling, exploratory/causal analysis, and metric development to uncover data insights that in turn better inform key decisions and enable driver-based forecasting of user activity.
  • Performance management support: Assist in our weekly performance tracking and management of business operations. Ensure accuracy and timeliness in performance reporting, helping the team meet its short and long-term objectives
  • Analytics foundation: Partner with our Analytics Engineering team to create and maintain a solid data foundation using advanced data analysis tools and techniques. Extract and manipulate large datasets to create meaningful metrics and insights that inform strategic decisions
  • Collaboration: Facilitate data ownership and accountability by closely partnering with data science, product, and engineering partners to improve data robustness
  • Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises
  • Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values

What You’ll Bring To The Team

  • 6 - 8+ years working in data science, product analytics, or business intelligence, or equivalent (starting level is flexible)
  • Strategic-minded, impact-driven, and capable of incorporating larger business context into data questions and product development
  • Experience architecting, debugging, and executing SQL queries
  • Excellent knowledge of Looker (preferred) or another BI/visualization tool
  • Comfortable knowledge of Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
  • Comfort with methods, tools, and packages for statistical modeling and machine learning
  • Experience formulating, running, and sharing complex analyses, including different types of experiments, cohort retention studies, and other exploratory analysis work
  • Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark
  • Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders
  • Curiosity about how things work, from both a business and technical perspective
  • A self-starter who thrives under a high level of ambiguity and autonomy

It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us!

Bonus Points

  • Past experience in solving problems in Finance or other business-facing areas
  • Work experience related to social or community-based products
  • Work experience related to small businesses and marketplaces
  • Work experience related to advertising and auction systems
  • Expertise deploying models to production
  • Expertise in testing and evaluating the impact of network effects
  • Knowledge of web applications and service-oriented architecture

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting salary for this role is expected to range from $175,000 to $210,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3996374518,https://it.linkedin.com/jobs/view/data-scientist-at-bdo-3996374518?position=1&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=4iD%2FR2%2Fh2NJ%2BZvE4FqlDGA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,BDO,"Milan, Lombardy, Italy","WHAT WILL YOU DO? + + + + +Nel nostro team AI & Data Analytics sarai il fulcro di un sistema mirato a guidare le principali realtà enterprise italiane e non verso la Trasformazione Digitale tramite l’Intelligenza Artificiale e la Data Analytics. + +Sarai in una posizione privilegiata per poter cogliere esigenze nascenti e offrire risposte professionali, occupandoti di: + + + + +Sviluppo e implementazione di modelli di machine learning e intelligenza artificiale su piattaforme cloud Azure +Analisi e interpretazione di grandi set di dati per generare insights utili per il business +Collaborare con i team di sviluppo e gli stakeholder aziendali per comprendere le esigenze del business e tradurle in soluzioni tecniche. +Partecipare alla progettazione e all’ottimizzazione delle pipeline ETL +Sviluppare e mantenere script e applicazioni in Python per l’analisi dei dati e l’automazione dei processi. +Monitoraggio delle performance dei modelli di AI e miglioramento continuo delle soluzioni implementate. + + + + +YOU ARE THE RIGHT TALENT IF YOU BRING US: + + + + +Il/la candidato/a ideale sarà un/una Data Scientist con una combinazione vincente di background tecnico e spiccato Business Sense. + + + + +Laurea in Informatica, Ingegneria, Fisica, Matematica, Statistica o altre discipline affini; +Esperienza nel settore: junior/intermediate (dai neolaureati a profili con almeno 2 anni di esperienza) middle-senior (dai 3 ai 6 anni di esperienza). +Conoscenza delle tecniche ed algoritmi dei principali ambiti del mondo Data Science (Machine Learning, Deep Learning, Ottimizzazione e Inferenza Causale, Time Series Analysis); +Conoscenza di uno o più linguaggi di programmazione, preferibilmente Python con librerie principali in ambito Data Science e IDE di sviluppo; +Conoscenza avanzata del linguaggio SQL; +Conoscenza delle best practice da seguire nello sviluppo di una soluzione di Intelligenza Artificiale; +Esperienza con i servizi Azure per la gestione e l'elaborazione dei dati; +Mentalità analitica che ti consente di approcciarti ai dati e alle situazioni in modo critico, identificando soluzioni e prendendo decisioni rapide e consapevoli; +Eccellente comprensione del business e capacità di tradurre i requisiti aziendali in soluzioni tecniche; +Esperienza lavorativa in società di consulenza direzionale o informatica sarà considerata un forte plus. + +YOU FEEL WELCOMED EVERY DAY BECAUSE: + +ti sentirai da subito parte della squadra, supportato nel proporre le tue idee e visioni +respirerai un dinamismo che dà energia, un concetto di collaborazione che fa crescere la professionalità di ognuno e la qualità del team +scoprirai una forma di ambizione che sposta sempre in avanti il punto di arrivo e rende appassionante il percorso per raggiungerlo +apprezzerai il supporto di un People coach, che ti aiuterà a sviluppare il tuo potenziale e le tue competenze +troverai percorsi di carriera disegnati sulle tue ambizioni e capacità +sperimenterai i benefici della flessibilità e dello smart working + +WE ARE QUALITY SEEKERS, CLIENT SUPPORTERS, TEAM BELIEVERS & PASSION PROMOTERS + +Ci impegniamo per offrire al paese un modello di crescita sostenibile. Siamo appassionati di consulenza e di revisione ed è proprio la passione che ci ha resi una delle più importanti società mondiali in questo campo. Ci guida una motivazione forte, che si diffonde in ognuna delle nostre sedi in 164 Paesi e che troverai nei nostri 14 uffici in Italia. Amiamo il talento e le idee nuove e cresciamo grazie all’attenzione che riserviamo alla competenza delle persone e alla qualità delle relazioni: quelle all'interno della nostra società e quelle con i clienti e i fornitori. + +MAKE YOUR CAREER DEEPLY SIGNIFICANT, JOIN US AND SHARE OUR PURPOSE. + +Show more ","
+ + + + + +
+
+

WHAT WILL YOU DO?


Nel nostro team AI & Data Analytics sarai il fulcro di un sistema mirato a guidare le principali realtà enterprise italiane e non verso la Trasformazione Digitale tramite l’Intelligenza Artificiale e la Data Analytics.

Sarai in una posizione privilegiata per poter cogliere esigenze nascenti e offrire risposte professionali, occupandoti di:


  • Sviluppo e implementazione di modelli di machine learning e intelligenza artificiale su piattaforme cloud Azure
  • Analisi e interpretazione di grandi set di dati per generare insights utili per il business
  • Collaborare con i team di sviluppo e gli stakeholder aziendali per comprendere le esigenze del business e tradurle in soluzioni tecniche.
  • Partecipare alla progettazione e all’ottimizzazione delle pipeline ETL
  • Sviluppare e mantenere script e applicazioni in Python per l’analisi dei dati e l’automazione dei processi.
  • Monitoraggio delle performance dei modelli di AI e miglioramento continuo delle soluzioni implementate.


YOU ARE THE RIGHT TALENT IF YOU BRING US:


Il/la candidato/a ideale sarà un/una Data Scientist con una combinazione vincente di background tecnico e spiccato Business Sense.


  • Laurea in Informatica, Ingegneria, Fisica, Matematica, Statistica o altre discipline affini;
  • Esperienza nel settore: junior/intermediate (dai neolaureati a profili con almeno 2 anni di esperienza) middle-senior (dai 3 ai 6 anni di esperienza).
  • Conoscenza delle tecniche ed algoritmi dei principali ambiti del mondo Data Science (Machine Learning, Deep Learning, Ottimizzazione e Inferenza Causale, Time Series Analysis);
  • Conoscenza di uno o più linguaggi di programmazione, preferibilmente Python con librerie principali in ambito Data Science e IDE di sviluppo;
  • Conoscenza avanzata del linguaggio SQL;
  • Conoscenza delle best practice da seguire nello sviluppo di una soluzione di Intelligenza Artificiale;
  • Esperienza con i servizi Azure per la gestione e l'elaborazione dei dati;
  • Mentalità analitica che ti consente di approcciarti ai dati e alle situazioni in modo critico, identificando soluzioni e prendendo decisioni rapide e consapevoli;
  • Eccellente comprensione del business e capacità di tradurre i requisiti aziendali in soluzioni tecniche;
  • Esperienza lavorativa in società di consulenza direzionale o informatica sarà considerata un forte plus.

YOU FEEL WELCOMED EVERY DAY BECAUSE:

  • ti sentirai da subito parte della squadra, supportato nel proporre le tue idee e visioni
  • respirerai un dinamismo che dà energia, un concetto di collaborazione che fa crescere la professionalità di ognuno e la qualità del team
  • scoprirai una forma di ambizione che sposta sempre in avanti il punto di arrivo e rende appassionante il percorso per raggiungerlo
  • apprezzerai il supporto di un People coach, che ti aiuterà a sviluppare il tuo potenziale e le tue competenze
  • troverai percorsi di carriera disegnati sulle tue ambizioni e capacità
  • sperimenterai i benefici della flessibilità e dello smart working

WE ARE QUALITY SEEKERS, CLIENT SUPPORTERS, TEAM BELIEVERS & PASSION PROMOTERS

Ci impegniamo per offrire al paese un modello di crescita sostenibile. Siamo appassionati di consulenza e di revisione ed è proprio la passione che ci ha resi una delle più importanti società mondiali in questo campo. Ci guida una motivazione forte, che si diffonde in ognuna delle nostre sedi in 164 Paesi e che troverai nei nostri 14 uffici in Italia. Amiamo il talento e le idee nuove e cresciamo grazie all’attenzione che riserviamo alla competenza delle persone e alla qualità delle relazioni: quelle all'interno della nostra società e quelle con i clienti e i fornitori.

MAKE YOUR CAREER DEEPLY SIGNIFICANT, JOIN US AND SHARE OUR PURPOSE.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3991586482,https://pt.linkedin.com/jobs/view/data-scientist-at-jer%C3%B3nimo-martins-3991586482?position=2&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=8q%2B7tUIghDvDvLQ8SRw06Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Jerónimo Martins,"Lisbon, Portugal","A TUA MISSÃO + +Desenvolver metodologias e estratégias de Data & Analytics, com o objetivo de adquirir um conhecimento aprofundado sobre o negócio e os clientes na perspetiva de melhoria contínua. + + + + +O QUE VAIS FAZER + +Garantir o desenvolvimento e a otimização das análises necessárias ao negócio em articulação com as diferentes áreas funcionais da Companhia; +Identificar e propor novos procedimentos e funcionalidades que contribuam para a melhoria contínua dos processos do Pingo Doce; +Analisar e consequentemente aprofundar o conhecimento dos processos do negócio Pingo doce, potenciando as ferramentas de melhoria contínua enquanto vantagem competitiva para o negócio; +Contribuir de forma ativa para a disseminação das competências de analytics nas áreas operacionais; +Assegurar a resolução de problemas relacionados com o negócio usando técnicas orientadas por data. + + + + +O TEU PERFIL + +Licenciatura e/ou Mestrado em Gestão de Informação, Estatística, Matemática, Economia ou áreas similares; +Experiência profissional no mínimo de 3 anos em funções analíticas; +Experiência em gestão de projetos; +Domínio de Excel (avançado); +Conhecimentos de Power Query, Power BI, Python, SQL, R e Power Apps serão valorizados; +Fluência na língua inglesa; +Gosto por trabalho em equipa e facilidade de relacionamento interpessoal; +Proatividade, autonomia e elevado sentido de responsabilidade. + + + + +Show more ","
+ + + + + +
+
+

A TUA MISSÃO

Desenvolver metodologias e estratégias de Data & Analytics, com o objetivo de adquirir um conhecimento aprofundado sobre o negócio e os clientes na perspetiva de melhoria contínua.


O QUE VAIS FAZER

  • Garantir o desenvolvimento e a otimização das análises necessárias ao negócio em articulação com as diferentes áreas funcionais da Companhia;
  • Identificar e propor novos procedimentos e funcionalidades que contribuam para a melhoria contínua dos processos do Pingo Doce;
  • Analisar e consequentemente aprofundar o conhecimento dos processos do negócio Pingo doce, potenciando as ferramentas de melhoria contínua enquanto vantagem competitiva para o negócio;
  • Contribuir de forma ativa para a disseminação das competências de analytics nas áreas operacionais;
  • Assegurar a resolução de problemas relacionados com o negócio usando técnicas orientadas por data.


O TEU PERFIL

  • Licenciatura e/ou Mestrado em Gestão de Informação, Estatística, Matemática, Economia ou áreas similares;
  • Experiência profissional no mínimo de 3 anos em funções analíticas;
  • Experiência em gestão de projetos;
  • Domínio de Excel (avançado);
  • Conhecimentos de Power Query, Power BI, Python, SQL, R e Power Apps serão valorizados;
  • Fluência na língua inglesa;
  • Gosto por trabalho em equipa e facilidade de relacionamento interpessoal;
  • Proatividade, autonomia e elevado sentido de responsabilidade.


+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3994672451,https://it.linkedin.com/jobs/view/data-scientist-at-sky-italia-3994672451?position=3&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=0tgG3Z3H1LW%2Bs7pL3LmIKA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Sky Italia,"Milan, Lombardy, Italy","We’re looking for a passionate and talented Data Scientist to join our team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of topics + + + + + + + +Activities + +Apply data workflow tasks as extraction, mining, preparation, quality control, KPI optimization, modelling, validation and business insight consideration. +Apply advanced analytics techniques in a big data paradigm considering multiple data sources +Develop and deploy machine/deep learning models applied to cross-functional use cases to increase customer value or operational efficiency + + + + +. + +Preferred Qualifications + +A Master’s Degree in a highly quantitative field (Statistics, Computer Science, Machine Learning, Data Science, etc.) or equivalent experience +2+ years of industry experience in predictive modeling, data science and analysis +Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering, segmentation, clustering and PCA +Strong working knowledge on programming languages as Python, SQL, R, data science libraries (Pandas, Scikit-learn, XGBoost) and MLOps tools (Git, Airflow, Kubernetes) +Experience using ML/DP libraries, such as scikit-learn, caret, mlr, mllib, Keras, TensorFlow, PyTor +chExperience with cloud resources, usage of IDE (PyCharm, visualbasic) and version control systems (git) are highly valued +Experience working with GPUs to develop models +Preferred experience with Natural Language and Cognitive applications +Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment +Strong written and verbal communication skills +Fluent in Italian and English +Familiarity with digital marketing or advertising is a plus +Show more ","
+ + + + + +
+
+

We’re looking for a passionate and talented Data Scientist to join our team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of topics



Activities

  • Apply data workflow tasks as extraction, mining, preparation, quality control, KPI optimization, modelling, validation and business insight consideration.
  • Apply advanced analytics techniques in a big data paradigm considering multiple data sources
  • Develop and deploy machine/deep learning models applied to cross-functional use cases to increase customer value or operational efficiency


.

Preferred Qualifications

  • A Master’s Degree in a highly quantitative field (Statistics, Computer Science, Machine Learning, Data Science, etc.) or equivalent experience
  • 2+ years of industry experience in predictive modeling, data science and analysis
  • Fluent in data wrangling and preparation: exploratory analysis, profiling & cleansing, feature selection, feature engineering, segmentation, clustering and PCA
  • Strong working knowledge on programming languages as Python, SQL, R, data science libraries (Pandas, Scikit-learn, XGBoost) and MLOps tools (Git, Airflow, Kubernetes)
  • Experience using ML/DP libraries, such as scikit-learn, caret, mlr, mllib, Keras, TensorFlow, PyTor
  • chExperience with cloud resources, usage of IDE (PyCharm, visualbasic) and version control systems (git) are highly valued
  • Experience working with GPUs to develop models
  • Preferred experience with Natural Language and Cognitive applications
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Strong written and verbal communication skills
  • Fluent in Italian and English
  • Familiarity with digital marketing or advertising is a plus
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3980189649,https://es.linkedin.com/jobs/view/data-scientist-w-m-at-deutsche-telekom-3980189649?position=4&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=8%2BX18piU9jaLDPmxFSpauA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist (w/m),Deutsche Telekom,"Valencia, Valencian Community, Spain","We are Deutsche Telekom IT Spain, located in a digital, scientific, and cultural hub of Spain - Valencia. + + + + +We work as part of T-Systems Iberia though with a separate structure and projects. Our team is growing, and we are looking forward to meeting more talented employees. + +With our highly skilled engineers and experts, we are committed to continue developing the culture of creativity and agility, foster innovations, and be an international tech center! + + + + +Our Data team is looking for Data Scientist! + +This Team is working around several directions: + +Modeling customer individual network perception by Implementing initial data model representing e.g., mobile inventory, performance and usage data. Generate new insights by understanding detractor and promotor data pattern. Push positive network perception. + +Drive quality improvements through cross-functional use case development. Provide technology data products based on OSS- and live network components, e.g., performance, event and line configuration data. Support centrally Fault 2 repair process. + +Push data driven e2e use cases for fiber business. Powered by a consolidated data foundation as single point of truth. In order to enable a collaborative, cross-functional fiber steering + + + + +What we expect: + +As a data scientist you are part mathematician, part computer scientist, and you rule the world of big data. + +You will both do classical data analytics as well as create machine learning models for explaining and predicting home network events. You will cooperate closely with our business colleagues to derive actions based on your analytics to increase our home network CX. + + + + +Required Skills and experience: + +• CDSW (Cloudera Data Science Workbench) + +• Jira + +• Hue + +• Knime + +• ODL + +• ODE + +• SQL + +• Python + +• Pandas + +• PythonSpark + +• English level B2 + +• Willingness to work in an agile environment. + + + + +🤲What do we offer you? + + + + +International, positive, dynamic, and motivated work environment. +Hybrid work model (telework/face-to-face). +Flexible schedule. +Continuous training. +Flexible Compensation Plan. +Life and accident insurance. + + + + +And many more advantages of being part of T-Systems! + + + + +If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. + + + + +Join our team! + +Show more ","
+ + + + + +
+
+

We are Deutsche Telekom IT Spain, located in a digital, scientific, and cultural hub of Spain - Valencia.


We work as part of T-Systems Iberia though with a separate structure and projects. Our team is growing, and we are looking forward to meeting more talented employees.

With our highly skilled engineers and experts, we are committed to continue developing the culture of creativity and agility, foster innovations, and be an international tech center!


Our Data team is looking for Data Scientist!

This Team is working around several directions:

  • Modeling customer individual network perception by Implementing initial data model representing e.g., mobile inventory, performance and usage data. Generate new insights by understanding detractor and promotor data pattern. Push positive network perception.

  • Drive quality improvements through cross-functional use case development. Provide technology data products based on OSS- and live network components, e.g., performance, event and line configuration data. Support centrally Fault 2 repair process.

  • Push data driven e2e use cases for fiber business. Powered by a consolidated data foundation as single point of truth. In order to enable a collaborative, cross-functional fiber steering


What we expect:

As a data scientist you are part mathematician, part computer scientist, and you rule the world of big data.

You will both do classical data analytics as well as create machine learning models for explaining and predicting home network events. You will cooperate closely with our business colleagues to derive actions based on your analytics to increase our home network CX.


Required Skills and experience:

• CDSW (Cloudera Data Science Workbench)

• Jira

• Hue

• Knime

• ODL

• ODE

• SQL

• Python

• Pandas

• PythonSpark

• English level B2

• Willingness to work in an agile environment.


🤲What do we offer you?


  • International, positive, dynamic, and motivated work environment.
  • Hybrid work model (telework/face-to-face).
  • Flexible schedule.
  • Continuous training.
  • Flexible Compensation Plan.
  • Life and accident insurance.


And many more advantages of being part of T-Systems!


If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English.


Join our team!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3994735635,https://it.linkedin.com/jobs/view/junior-data-scientist-at-sesa-spa-3994735635?position=6&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=NTuuhC%2BQ9tS6To5ExyoomA%3D%3D&trk=public_jobs_jserp-result_search-card,Junior Data Scientist,Sesa Spa,"Florence, Tuscany, Italy","Il Gruppo Sesa S.p.A., operatore di riferimento del settore IT in Italia, è alla ricerca di una figura Junior Data Scientist da inserire all'interno della propria realtà Adiacent, global digital business partner di riferimento per la Total Experience. + + + + +La persona inserita nel ruolo si occuperà di: + + + + +Analizzare i dati grezzi: valutazione della qualità, pulizia, strutturazione per l'elaborazione successiva +Progettare algoritmi di analisi dati accurati e scalabili +Collaborare con il team di sviluppo per portare i prototipi analitici in produzione +Generare actionable insights per il business del cliente + + + + +Requisiti richiesti nel ruolo: + + + + +Conoscenza minimale di utilizzo delle basi di dati (linguaggio SQL) +Conoscenza delle tecniche di ETL e ELT +Passione per i numeri +Capacità di problem solving + +Soft skills: + +Predisposizione per la precisione e l’affidabilità nel proprio lavoro +Capacità verbali nella spiegazione di concetti anche complessi (matematici) +Piacere nel relazionarsi con le persone +Incline al lavoro in team, ma con capacità di lavorare in autonomia + +Completano il profilo: + +Conoscenza di pacchetti software (R, Python, Git) +Conoscenza tool statistici (SPSS, SAS) +Buona conoscenza dell’inglese +Esperienza di coding (programmazione) + + + + +Sede di lavoro: Empoli (FI) + + + + +L’inquadramento e pacchetto retributivo saranno definiti in relazione alle capacità e all’esperienza maturata del candidato. + + + + +SeSa S.p.A. promuove e persegue politiche di inclusione sociale, tutela della diversità e dell’equità, con un impegno costante verso la valorizzazione del proprio capitale umano e della cultura aziendale, contro ogni forma di discriminazione. + +SeSa S.p.A. garantisce un approccio equo, meritocratico e trasparente al fine di creare un’organizzazione che ponga al centro la persona, valorizzando i differenti background, esperienze e competenze di ciascun individuo. Miriamo ad attirare, selezionare e trattenere i migliori talenti, attuando processi di selezione obiettivi ed imparziali ed offrendo piani di sviluppo professionale tesi alla valorizzazione delle competenze e delle capacità personali. + +Show more ","
+ + + + + +
+
+

Il Gruppo Sesa S.p.A., operatore di riferimento del settore IT in Italia, è alla ricerca di una figura Junior Data Scientist da inserire all'interno della propria realtà Adiacent, global digital business partner di riferimento per la Total Experience.


La persona inserita nel ruolo si occuperà di:


  • Analizzare i dati grezzi: valutazione della qualità, pulizia, strutturazione per l'elaborazione successiva
  • Progettare algoritmi di analisi dati accurati e scalabili
  • Collaborare con il team di sviluppo per portare i prototipi analitici in produzione
  • Generare actionable insights per il business del cliente


Requisiti richiesti nel ruolo:


  • Conoscenza minimale di utilizzo delle basi di dati (linguaggio SQL)
  • Conoscenza delle tecniche di ETL e ELT
  • Passione per i numeri
  • Capacità di problem solving

Soft skills:

  • Predisposizione per la precisione e l’affidabilità nel proprio lavoro
  • Capacità verbali nella spiegazione di concetti anche complessi (matematici)
  • Piacere nel relazionarsi con le persone
  • Incline al lavoro in team, ma con capacità di lavorare in autonomia

Completano il profilo:

  • Conoscenza di pacchetti software (R, Python, Git)
  • Conoscenza tool statistici (SPSS, SAS)
  • Buona conoscenza dell’inglese
  • Esperienza di coding (programmazione)


Sede di lavoro: Empoli (FI)


L’inquadramento e pacchetto retributivo saranno definiti in relazione alle capacità e all’esperienza maturata del candidato.


SeSa S.p.A. promuove e persegue politiche di inclusione sociale, tutela della diversità e dell’equità, con un impegno costante verso la valorizzazione del proprio capitale umano e della cultura aziendale, contro ogni forma di discriminazione.

SeSa S.p.A. garantisce un approccio equo, meritocratico e trasparente al fine di creare un’organizzazione che ponga al centro la persona, valorizzando i differenti background, esperienze e competenze di ciascun individuo. Miriamo ad attirare, selezionare e trattenere i migliori talenti, attuando processi di selezione obiettivi ed imparziali ed offrendo piani di sviluppo professionale tesi alla valorizzazione delle competenze e delle capacità personali.

+
+ + + + + + + + + + + + + + + + + + +
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",2024-08-06,[] +3988566272,https://it.linkedin.com/jobs/view/data-scientist-at-terna-spa-3988566272?position=8&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=qxG32e47rNXt2nl9Bb%2BR5w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Terna SpA,"Rome, Latium, Italy","Terna, gestore della rete di trasmissione nazionale (RTN), è impegnata nel processo di transizione ecologica e come regista del sistema elettrico e abilitatore della Twin Transition (transizione energetica e innovazione digitale), ha il compito di sviluppare una rete in grado di gestire una sempre migliore integrazione delle rinnovabili e consentire la progressiva decarbonizzazione del sistema, garantendo al contempo il costante bilanciamento tra energia prodotta e consumata. + +Vuoi essere protagonista della transizione energetica e vuoi dare il tuo contributo per la costruzione del sistema energetico di domani? + + + + + + + +Terna, nell’area di Digital Solutions, è alla ricerca di persone da inserire nel ruolo di Data Scientist per la sede di Roma. + + + + + + + +Le principali attività saranno: + + + + +Gestione del ciclo di vita dei progetti di Data & Analytics, dalla pianificazione all'implementazione e al monitoraggio; +Collaborazione con le diverse funzioni aziendali per comprendere le loro esigenze e tradurre in progetti concreti; +Ricerca e selezione di tecnologie e strumenti per l'analisi dei dati; +Sviluppo e implementazione di best practice per la governance dei dati; +Comunicazione efficace dei risultati dei progetti ai diversi stakeholder. + + + + +Requisiti Necessari: + + + + +Laurea in Matematica, Ingegneria, Statistica, Fisica, Data Science o similare; +Almeno 4 anni di esperienza in Data & Analytics, con focus sulla gestione di progetti complessi; +Esperienza di lavoro in un contesto aziendale di grandi dimensioni; +Dimestichezza con le metodologie di gestione dei progetti (Agile, Waterfall, etc.); +Conoscenza approfondita di tecniche di data mining, analisi statistica e machine learning; +Padronanza di linguaggi di programmazione per l'analisi dei dati (Python, R, SQL, etc.); +Ottime capacità di comunicazione e presentazione in italiano e inglese; + + + + + + + +Requisiti Preferenziali: + + + + +Eccellenti capacità di riconoscimento dei modelli e di modellizzazione predittiva; +Conoscenza elevata di strumenti di data mining avanzati (es. R, Python e Scala); +Buona conoscenza dei toolkit di deep learning e machine learning (es. TensorFlow, Keras, PyTorch, Hugginface); +Esperienza con tecnologie di big data (es. Hadoop, Spark, Kafka); +Competenze in tecniche di modellizzazione avanzate, inclusi modelli di machine learning supervisionati e non supervisionati, reti neurali, algoritmi di boosting e bagging; +Familiarità con l'implementazione di modelli in ambienti di produzione e utilizzo di MLOps (Machine Learning Operations) per il deployment e il monitoraggio continuo dei modelli; +Esperienza con piattaforme di cloud computing come AWS, Google Cloud, Azure per lo sviluppo e la scalabilità dei modelli di machine learning; +Conoscenza di tecnologie e pratiche di data governance e data privacy; +Esperienza con Large Language Models (LLM) come GPT-3/4 e BERT, inclusa la messa a punto e l'implementazione. + + + + + + + + + + +Offriamo un contesto in cui le persone possano essere intraprendenti e partecipare alla costruzione di un ambiente di lavoro innovativo e orientato al benessere organizzativo. Siamo impegnati a valorizzare l'unicità di tutti in una comunità di lavoro inclusiva e a prendere in considerazione le candidature con le qualifiche richieste, offrendo pari opportunità di lavoro.​ Assicuriamo a tutte le nostre persone un programma di on boarding, sessioni di training mediante Terna Academy e processi di sviluppo per il miglioramento personale. + + + + +È possibile candidarsi entro e non oltre il 02/09/2024 cliccando su “Candidati ora”. Referente per la selezione: Simona Sapio - talentacquisition@terna.it + + + + +Ricordiamo che i CV inviati tramite e-mail non verranno presi in considerazione. I candidati considerati in linea con il profilo saranno contattati nelle prossime settimane. Ringraziamo tutti gli altri che hanno inviato la propria candidatura per l’interesse dimostrato verso il nostro Gruppo e confermiamo che la candidatura sarà tenuta in considerazione nel caso di ulteriori future opportunità professionali. + +Show more ","
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+

Terna, gestore della rete di trasmissione nazionale (RTN), è impegnata nel processo di transizione ecologica e come regista del sistema elettrico e abilitatore della Twin Transition (transizione energetica e innovazione digitale), ha il compito di sviluppare una rete in grado di gestire una sempre migliore integrazione delle rinnovabili e consentire la progressiva decarbonizzazione del sistema, garantendo al contempo il costante bilanciamento tra energia prodotta e consumata.

Vuoi essere protagonista della transizione energetica e vuoi dare il tuo contributo per la costruzione del sistema energetico di domani?



Terna, nell’area di Digital Solutions, è alla ricerca di persone da inserire nel ruolo di Data Scientist per la sede di Roma.



Le principali attività saranno:


  • Gestione del ciclo di vita dei progetti di Data & Analytics, dalla pianificazione all'implementazione e al monitoraggio;
  • Collaborazione con le diverse funzioni aziendali per comprendere le loro esigenze e tradurre in progetti concreti;
  • Ricerca e selezione di tecnologie e strumenti per l'analisi dei dati;
  • Sviluppo e implementazione di best practice per la governance dei dati;
  • Comunicazione efficace dei risultati dei progetti ai diversi stakeholder.


Requisiti Necessari:


  • Laurea in Matematica, Ingegneria, Statistica, Fisica, Data Science o similare;
  • Almeno 4 anni di esperienza in Data & Analytics, con focus sulla gestione di progetti complessi;
  • Esperienza di lavoro in un contesto aziendale di grandi dimensioni;
  • Dimestichezza con le metodologie di gestione dei progetti (Agile, Waterfall, etc.);
  • Conoscenza approfondita di tecniche di data mining, analisi statistica e machine learning;
  • Padronanza di linguaggi di programmazione per l'analisi dei dati (Python, R, SQL, etc.);
  • Ottime capacità di comunicazione e presentazione in italiano e inglese;



Requisiti Preferenziali:


  • Eccellenti capacità di riconoscimento dei modelli e di modellizzazione predittiva;
  • Conoscenza elevata di strumenti di data mining avanzati (es. R, Python e Scala);
  • Buona conoscenza dei toolkit di deep learning e machine learning (es. TensorFlow, Keras, PyTorch, Hugginface);
  • Esperienza con tecnologie di big data (es. Hadoop, Spark, Kafka);
  • Competenze in tecniche di modellizzazione avanzate, inclusi modelli di machine learning supervisionati e non supervisionati, reti neurali, algoritmi di boosting e bagging;
  • Familiarità con l'implementazione di modelli in ambienti di produzione e utilizzo di MLOps (Machine Learning Operations) per il deployment e il monitoraggio continuo dei modelli;
  • Esperienza con piattaforme di cloud computing come AWS, Google Cloud, Azure per lo sviluppo e la scalabilità dei modelli di machine learning;
  • Conoscenza di tecnologie e pratiche di data governance e data privacy;
  • Esperienza con Large Language Models (LLM) come GPT-3/4 e BERT, inclusa la messa a punto e l'implementazione.




Offriamo un contesto in cui le persone possano essere intraprendenti e partecipare alla costruzione di un ambiente di lavoro innovativo e orientato al benessere organizzativo. Siamo impegnati a valorizzare l'unicità di tutti in una comunità di lavoro inclusiva e a prendere in considerazione le candidature con le qualifiche richieste, offrendo pari opportunità di lavoro.​ Assicuriamo a tutte le nostre persone un programma di on boarding, sessioni di training mediante Terna Academy e processi di sviluppo per il miglioramento personale.


È possibile candidarsi entro e non oltre il 02/09/2024 cliccando su “Candidati ora”. Referente per la selezione: Simona Sapio - talentacquisition@terna.it


Ricordiamo che i CV inviati tramite e-mail non verranno presi in considerazione. I candidati considerati in linea con il profilo saranno contattati nelle prossime settimane. Ringraziamo tutti gli altri che hanno inviato la propria candidatura per l’interesse dimostrato verso il nostro Gruppo e confermiamo che la candidatura sarà tenuta in considerazione nel caso di ulteriori future opportunità professionali.

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",2024-07-31,[] +3993928022,https://fr.linkedin.com/jobs/view/apprenti-e-data-scientist-at-akademija-oxford-3993928022?position=9&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=TGTnt5Jy1pW0F54gPn5FNw%3D%3D&trk=public_jobs_jserp-result_search-card,APPRENTI.E DATA SCIENTIST,Akademija Oxford,"Val-d'Oise, Île-de-France, France","Un acteur majeur et en pleine croissance de la Biologie Médicale en Ile de France, recrute un.e Apprenti.e Data Scientist en alternance. Ce contrat d’apprentissage d’une durée de 12 mois débute en Octobre 2021. +Show more ","
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+ Un acteur majeur et en pleine croissance de la Biologie Médicale en Ile de France, recrute un.e Apprenti.e Data Scientist en alternance. Ce contrat d’apprentissage d’une durée de 12 mois débute en Octobre 2021. +
+ + + + + + + + + + + + + + + + + + +
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",2024-08-05,[] +3997643672,https://fi.linkedin.com/jobs/view/ml-engineer-at-neurons-lab-3997643672?position=10&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=1YrZRplzGl%2FzuCR9apROMQ%3D%3D&trk=public_jobs_jserp-result_search-card,ML Engineer,Neurons Lab,Finland,"About The Project + +Duration: 6+ months + +Stage: solution development from scratch + +Objective + +The objective of this project is to develop a conversational AI system that will empower different internal teams to coordinate their work faster. The AI system will have to take data from internal and external different sources (i.e. project boards, reports, news, etc) and to be able to answer about the progress on different company’s projects and activities and suggest improvements and refer them to the right teams and data streams + +Areas of responsibilities + Skills + Knowledge + + +Proficient in machine learning and natural language processing techniques, with a focus on Large Language Models (LLMs) like OpenAI's GPT series. +Experience with embedding models and vector database search technologies (Chroma, Elasticsearch) for efficient information retrieval and analysis. +Skilled in prompt engineering and tuning for various LLMs, including OpenAI models and Gemini, to optimize model responses for specific tasks. +Familiarity with agent building tools (e.g., Langchain) for creating AI agents capable of synthesizing and interacting with information. +Experience in designing and managing data ingestion pipelines using tools like Apache Airflow for streamlined data collection and processing. +Programming skills in Python, with the ability to utilize relevant AI and machine learning libraries effectively for project needs. +Optional knowledge of TensorFlow, PyTorch, and understanding of Transformers for model fine-tuning is advantageous but not essential. + + +Experience + + +1-2 years of development with LLMs +3-5+ years of machine learning development overall + + +Terms & conditions + +Allocation: 1.0 FTE + +Time zone: Europe + +We offer + + +Scientific or engineering challenges +Work with disruptive deep-tech startups +Work with rock stars (senior-level engineers, Ph.D.) +Meaningful social and environmental projects +Transparent, professional growth plan depending on your impact +Remote work from any location +Flexible working hours +Regular Team Building & company-wide team events + + +Show more ","
+ + + + + +
+
+ About The Project

Duration: 6+ months

Stage: solution development from scratch

Objective

The objective of this project is to develop a conversational AI system that will empower different internal teams to coordinate their work faster. The AI system will have to take data from internal and external different sources (i.e. project boards, reports, news, etc) and to be able to answer about the progress on different company’s projects and activities and suggest improvements and refer them to the right teams and data streams

Areas of responsibilities + Skills + Knowledge

  • Proficient in machine learning and natural language processing techniques, with a focus on Large Language Models (LLMs) like OpenAI's GPT series.
  • Experience with embedding models and vector database search technologies (Chroma, Elasticsearch) for efficient information retrieval and analysis.
  • Skilled in prompt engineering and tuning for various LLMs, including OpenAI models and Gemini, to optimize model responses for specific tasks.
  • Familiarity with agent building tools (e.g., Langchain) for creating AI agents capable of synthesizing and interacting with information.
  • Experience in designing and managing data ingestion pipelines using tools like Apache Airflow for streamlined data collection and processing.
  • Programming skills in Python, with the ability to utilize relevant AI and machine learning libraries effectively for project needs.
  • Optional knowledge of TensorFlow, PyTorch, and understanding of Transformers for model fine-tuning is advantageous but not essential.

Experience

  • 1-2 years of development with LLMs
  • 3-5+ years of machine learning development overall

Terms & conditions

Allocation: 1.0 FTE

Time zone: Europe

We offer

  • Scientific or engineering challenges
  • Work with disruptive deep-tech startups
  • Work with rock stars (senior-level engineers, Ph.D.)
  • Meaningful social and environmental projects
  • Transparent, professional growth plan depending on your impact
  • Remote work from any location
  • Flexible working hours
  • Regular Team Building & company-wide team events

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3993923587,https://fr.linkedin.com/jobs/view/apprenti-e-data-scientist-at-akademija-oxford-3993923587?position=11&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=B0nxaFtArwXEWL84ELaNLg%3D%3D&trk=public_jobs_jserp-result_search-card,APPRENTI.E DATA SCIENTIST,Akademija Oxford,"Val-De-Marne, Île-de-France, France","Une des entreprises leader sur le marché de la santé, située dans le Val-De-Marne, recherche un.e Apprenti.e Data Scientist dans le cadre d’un contrat d’apprentissage et pour un démarrage en Octobre 2021. +Show more ","
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+ Une des entreprises leader sur le marché de la santé, située dans le Val-De-Marne, recherche un.e Apprenti.e Data Scientist dans le cadre d’un contrat d’apprentissage et pour un démarrage en Octobre 2021. +
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",2024-08-05,[] +3997228304,https://hu.linkedin.com/jobs/view/machine-learning-engineer-hu-at-premier-media-3997228304?position=16&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=ht21NrEtWfHDV9ZPOMU%2BmA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer HU,Premier Media,Hungary,"Hello, Machine Learning Engineers! + +My name is Nate Ginsburg and I am a serial entrepreneur. I'm the founder of SellerPlex, host of the Ecom Exits Podcast, and partner in a handful of other online businesses. + +About the company: + +SellerPlex is growing fast and we are in need of awesome people to help us give value to our clients and build awesome professional relationships with them. + +Our mission is to help empower e-commerce/FBA entrepreneurs to run better businesses by supporting them with Supply Chain, Finance, and Operations services. We're a huge believer in the importance of being a culture fit for long-term success. + +About the role: + +As a Machine Learning Engineer, you will design, implement, and deploy advanced machine learning models and algorithms to tackle complex business challenges. Your expertise will be instrumental in creating systems that can learn from and make predictions based on data, which is crucial for optimizing processes in areas like Supply Chain. + +This is an Hourly Remote Role. + +Responsibilities: + + +Develop and train machine learning models to solve specific business problems +Implement and optimize algorithms for performance and scalability +Collaborate with data scientists and engineers to integrate models into production systems +Monitor and evaluate model performance, making adjustments as needed +Stay updated with the latest advancements in machine learning and artificial intelligence + + + +Requirements + + +Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field +Master's degree or PhD in Machine Learning, Artificial Intelligence, or a related field (preferred) +3-5 years of experience in machine learning or a related role +Strong programming skills in Python, Java, or C++ +Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn +Knowledge of algorithm design and implementation +Familiarity with cloud platforms like AWS, Azure, or Google Cloud + + + +Benefits + + +Working completely remote +Location independence +Great opportunity to grow +You'll be joining a high-level and fast-paced team, working with exciting businesses and projects + + +If this sounds interesting to you please proceed with your application. + +Kindly be advised that the recruitment process is being managed by Premier Media. For any further details or inquiries, please reach out to the Premier Media recruitment team, as they oversee all our hiring procedures. + +The application procedure is simple: + +After submitting your proposal, I'll send you some questions regarding your experience. Shortlisted candidates will be invited to perform a test project or a remote interview. + +Thanks and I look forward to hearing from you! +Show more ","
+ + + + + +
+
+ Hello, Machine Learning Engineers!

My name is Nate Ginsburg and I am a serial entrepreneur. I'm the founder of SellerPlex, host of the Ecom Exits Podcast, and partner in a handful of other online businesses.

About the company:

SellerPlex is growing fast and we are in need of awesome people to help us give value to our clients and build awesome professional relationships with them.

Our mission is to help empower e-commerce/FBA entrepreneurs to run better businesses by supporting them with Supply Chain, Finance, and Operations services. We're a huge believer in the importance of being a culture fit for long-term success.

About the role:

As a Machine Learning Engineer, you will design, implement, and deploy advanced machine learning models and algorithms to tackle complex business challenges. Your expertise will be instrumental in creating systems that can learn from and make predictions based on data, which is crucial for optimizing processes in areas like Supply Chain.

This is an Hourly Remote Role.

Responsibilities:

  • Develop and train machine learning models to solve specific business problems
  • Implement and optimize algorithms for performance and scalability
  • Collaborate with data scientists and engineers to integrate models into production systems
  • Monitor and evaluate model performance, making adjustments as needed
  • Stay updated with the latest advancements in machine learning and artificial intelligence


Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
  • Master's degree or PhD in Machine Learning, Artificial Intelligence, or a related field (preferred)
  • 3-5 years of experience in machine learning or a related role
  • Strong programming skills in Python, Java, or C++
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn
  • Knowledge of algorithm design and implementation
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud


Benefits

  • Working completely remote
  • Location independence
  • Great opportunity to grow
  • You'll be joining a high-level and fast-paced team, working with exciting businesses and projects

If this sounds interesting to you please proceed with your application.

Kindly be advised that the recruitment process is being managed by Premier Media. For any further details or inquiries, please reach out to the Premier Media recruitment team, as they oversee all our hiring procedures.

The application procedure is simple:

After submitting your proposal, I'll send you some questions regarding your experience. Shortlisted candidates will be invited to perform a test project or a remote interview.

Thanks and I look forward to hearing from you! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3979984605,https://nl.linkedin.com/jobs/view/biological-data-scientist-at-syngenta-3979984605?position=20&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=mqbc6eGl4yMNZZuyJCyXTg%3D%3D&trk=public_jobs_jserp-result_search-card,Biological Data Scientist,Syngenta,"Enkhuizen, North Holland, Netherlands","Company Description + +The Company + +Syngenta is a leading developer and producer of seeds. We bring farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. + +For a new opening in the team, we are looking for a: + +Biological Data Scientist + +Job Description + +Into Action + +Are you ready to make a significant impact in the agricultural industry? Look no further! The Vegetable Seed Enhancement Team (VSET) at Syngenta is seeking a highly motivated and talented Data Scientist to join our dynamic team. As a Data Scientist at VSET, you will be an integral part of a multidisciplinary team, working closely with stakeholders across the vegetable business. Your primary focus will be on designing and implementing imaging technologies, algorithms, and artificial intelligence systems. By automating measurements and leveraging AI, you will gain a deep understanding of seed physiology and develop data-based solutions for the challenges faced by the global vegetable business. + +The Challenge + +When you are established in your role, you will work with the VSET team to; + + +Automate seed and plant measurements, developing algorithms for predicting seed performance. +Combine expertise in image analysis, machine learning, seed physiology, and biological experimentation. +Lead implementation and technology transfer to processing sites. +Actively participate in Syngenta's network of imaging and AI technologies. + + +Qualifications + +Your Profile + + +To succeed in this role, you preferably have a Ph.D. or MSc degree with 3+ years of experience in machine learning and artificial intelligence or equivalent qualifications. +You are familiar with machine/deep learning frameworks, such as TensorFlow, Keras, and PyTorch. +Experience in deploying image analysis pipelines on the edge or in the cloud would be advantageous. +It would be a big plus if you have a strong interest in developing skills in chemometrics, spectroscopy, hyperspectral imaging, and establish a strong basic understanding of seed and plant biology. +You have good communication skills to interact with diverse internal stakeholders. +You are willing to work in Enkhuizen on a fulltime basis. + + +We will take care of a great onboarding, to make sure you feel comfortable and have all the necessary tools to start your new challenge. + +Additional Information + +Your Chance! + +Join us at Syngenta and be part of a diverse and inclusive team that is passionate about shaping the future of sustainable agriculture. We offer a competitive salary package, excellent benefits and ample opportunities for professional growth and development. + +If you recognize yourself in the profile and would like to apply for this position, please apply online via www.syngenta.com If you would like to have more information about this vacancy please contact our recruiter Nienke Terluin by email to nienke.terluin@syngenta.com +Show more ","
+ + + + + +
+
+ Company Description

The Company

Syngenta is a leading developer and producer of seeds. We bring farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

For a new opening in the team, we are looking for a:

Biological Data Scientist

Job Description

Into Action

Are you ready to make a significant impact in the agricultural industry? Look no further! The Vegetable Seed Enhancement Team (VSET) at Syngenta is seeking a highly motivated and talented Data Scientist to join our dynamic team. As a Data Scientist at VSET, you will be an integral part of a multidisciplinary team, working closely with stakeholders across the vegetable business. Your primary focus will be on designing and implementing imaging technologies, algorithms, and artificial intelligence systems. By automating measurements and leveraging AI, you will gain a deep understanding of seed physiology and develop data-based solutions for the challenges faced by the global vegetable business.

The Challenge

When you are established in your role, you will work with the VSET team to;

  • Automate seed and plant measurements, developing algorithms for predicting seed performance.
  • Combine expertise in image analysis, machine learning, seed physiology, and biological experimentation.
  • Lead implementation and technology transfer to processing sites.
  • Actively participate in Syngenta's network of imaging and AI technologies.

Qualifications

Your Profile

  • To succeed in this role, you preferably have a Ph.D. or MSc degree with 3+ years of experience in machine learning and artificial intelligence or equivalent qualifications.
  • You are familiar with machine/deep learning frameworks, such as TensorFlow, Keras, and PyTorch.
  • Experience in deploying image analysis pipelines on the edge or in the cloud would be advantageous.
  • It would be a big plus if you have a strong interest in developing skills in chemometrics, spectroscopy, hyperspectral imaging, and establish a strong basic understanding of seed and plant biology.
  • You have good communication skills to interact with diverse internal stakeholders.
  • You are willing to work in Enkhuizen on a fulltime basis.

We will take care of a great onboarding, to make sure you feel comfortable and have all the necessary tools to start your new challenge.

Additional Information

Your Chance!

Join us at Syngenta and be part of a diverse and inclusive team that is passionate about shaping the future of sustainable agriculture. We offer a competitive salary package, excellent benefits and ample opportunities for professional growth and development.

If you recognize yourself in the profile and would like to apply for this position, please apply online via www.syngenta.com If you would like to have more information about this vacancy please contact our recruiter Nienke Terluin by email to nienke.terluin@syngenta.com +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-10,[] +3987940951,https://be.linkedin.com/jobs/view/machine-learning-engineer-f-m-x-at-mantu-3987940951?position=21&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=fJujwkSOxyWENvyQMpLmgQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer F/M/X,Mantu,"Brussels, Brussels Region, Belgium","We are currently seeking a Machine Learning Engineer to join our dynamic team at Amaris Consulting, located in Belgium. This role is a unique opportunity for those passionate about AI and machine learning, looking to apply their skills in a challenging yet rewarding environment. + +🔥Your Responsibilities: + +Developing machine learning models from scratch and improving existing ones +Collaborating with cross-functional teams to understand business requirements and provide appropriate solutions. +Data preprocessing including data cleaning, normalization, and transformation. +Evaluating model performance using suitable metrics and validation techniques +Maintaining clear documentation of the development process for future reference and audits +Staying updated with the latest trends in machine learning algorithms, tools, industry best practices +Promoting knowledge sharing within the team through presentations or workshops on new findings or technologies related to ML/AI +Troubleshooting any issues that arise during the development or deployment of ML models + +🎯 Your Profile: + +The ideal candidate is a recent graduate who has a strong passion for artificial intelligence (AI) & machine learning (ML). You should be eager to learn new things continuously while being able to work effectively as part of a diverse team. + +A bachelor’s degree in computer science/engineering/mathematics or related field is required; a masters degree is advantageous. +Familiarity with Python programming language along with libraries such as TensorFlow/Keras/PyTorch used in ML applications. +An understanding of various Machine Learning algorithms like Regression Models, Decision Trees etc., along with their real-world advantages/drawbacks. +Good understanding of data structures, data modeling and software architecture +An analytical mindset with problem-solving skills. +Ability to troubleshoot complex software issues +Excellent communication skills to effectively collaborate with team members and stakeholders +Able to work independently as well as in a team environment. +Excellent written and verbal communication skills in English and French or Dutch. +Minimum 1 to 7 years of experience. + + + + +🚀 Advantages: + +An international learning environment +Extensive training and certifications. +A R&D laboratory where you can develop your skills on innovative projects. +The opportunity to bring new ideas to develop a thriving business. +Individual coaching and mentoring, as well as the chance to learn from experts for your professional and personal growth. +An attractive, tailor-made, and evolving career path. + +💡 We are an independent company that values: + +Agility: thrive in a flexible, dynamic, and stimulating environment. +International scope: enjoy daily international exchanges and numerous mobility opportunities in over 60 countries. +Intrapreneurship: engage in related topics or develop your own Business Unit. +Attentive management: with a limited number of consultants, your manager will adapt to your profile and support you throughout your professional journey. + + + + +Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. + +Show more ","
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We are currently seeking a Machine Learning Engineer to join our dynamic team at Amaris Consulting, located in Belgium. This role is a unique opportunity for those passionate about AI and machine learning, looking to apply their skills in a challenging yet rewarding environment.

🔥Your Responsibilities:

  • Developing machine learning models from scratch and improving existing ones
  • Collaborating with cross-functional teams to understand business requirements and provide appropriate solutions.
  • Data preprocessing including data cleaning, normalization, and transformation.
  • Evaluating model performance using suitable metrics and validation techniques
  • Maintaining clear documentation of the development process for future reference and audits
  • Staying updated with the latest trends in machine learning algorithms, tools, industry best practices
  • Promoting knowledge sharing within the team through presentations or workshops on new findings or technologies related to ML/AI
  • Troubleshooting any issues that arise during the development or deployment of ML models

🎯 Your Profile:

The ideal candidate is a recent graduate who has a strong passion for artificial intelligence (AI) & machine learning (ML). You should be eager to learn new things continuously while being able to work effectively as part of a diverse team.

  • A bachelor’s degree in computer science/engineering/mathematics or related field is required; a masters degree is advantageous.
  • Familiarity with Python programming language along with libraries such as TensorFlow/Keras/PyTorch used in ML applications.
  • An understanding of various Machine Learning algorithms like Regression Models, Decision Trees etc., along with their real-world advantages/drawbacks.
  • Good understanding of data structures, data modeling and software architecture
  • An analytical mindset with problem-solving skills.
  • Ability to troubleshoot complex software issues
  • Excellent communication skills to effectively collaborate with team members and stakeholders
  • Able to work independently as well as in a team environment.
  • Excellent written and verbal communication skills in English and French or Dutch.
  • Minimum 1 to 7 years of experience.


🚀 Advantages:

  • An international learning environment
  • Extensive training and certifications.
  • A R&D laboratory where you can develop your skills on innovative projects.
  • The opportunity to bring new ideas to develop a thriving business.
  • Individual coaching and mentoring, as well as the chance to learn from experts for your professional and personal growth.
  • An attractive, tailor-made, and evolving career path.

💡 We are an independent company that values:

  • Agility: thrive in a flexible, dynamic, and stimulating environment.
  • International scope: enjoy daily international exchanges and numerous mobility opportunities in over 60 countries.
  • Intrapreneurship: engage in related topics or develop your own Business Unit.
  • Attentive management: with a limited number of consultants, your manager will adapt to your profile and support you throughout your professional journey.


Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

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",2024-08-01,[] +3991716166,https://pl.linkedin.com/jobs/view/machine-learning-engineer-at-career-renew-3991716166?position=23&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=WNymkCipUr1NyGxMo2rLxQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Career Renew,Poland,"Career Renew is recruiting for one of its clients a Machine Learning Engineer - candidates need to be based in US, Canada or Europe. + +We are an early-stage startup that is on a mission to democratize the future of AI. Through our first product we provide universal access to public web data, and a system where ordinary people can participate in the process - and share in the benefits. + +This project is for those who lead with initiative, seek to challenge themselves and thrive on curiosity. + +We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet. + +The Role. + +We are looking for a Machine Learning Engineer who is skilled and has significant experience in developing machine learning models. You will join a small, innovative team and lead efforts to advance our capabilities, drive model development, and support our vision for a future where we are transformative in the evolution of the internet. + +What You'll Be Doing. + + +Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis +Designing and implementing pipelines for processing and analyzing large text datasets +Analyzing and interpreting complex time series data to provide actionable insights and solutions +Designing, implementing, and maintaining data-driven models and algorithms +Collaborating with cross-functional teams to understand data needs and deliver timely solutions +Ensuring data quality and integrity throughout all processes +Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data +Continuously researching and implementing best practices in data science and machine learning +Contributing to the development and improvement of internal data processing tools and infrastructure + + + +Requirements + +Bachelor's, Master's, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field. + +A minimum of 3 years of work or research experience dealing with large datasets. + +Strong coding skills in Python +Show more ","
+ + + + + +
+
+ Career Renew is recruiting for one of its clients a Machine Learning Engineer - candidates need to be based in US, Canada or Europe.

We are an early-stage startup that is on a mission to democratize the future of AI. Through our first product we provide universal access to public web data, and a system where ordinary people can participate in the process - and share in the benefits.

This project is for those who lead with initiative, seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

The Role.

We are looking for a Machine Learning Engineer who is skilled and has significant experience in developing machine learning models. You will join a small, innovative team and lead efforts to advance our capabilities, drive model development, and support our vision for a future where we are transformative in the evolution of the internet.

What You'll Be Doing.

  • Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis
  • Designing and implementing pipelines for processing and analyzing large text datasets
  • Analyzing and interpreting complex time series data to provide actionable insights and solutions
  • Designing, implementing, and maintaining data-driven models and algorithms
  • Collaborating with cross-functional teams to understand data needs and deliver timely solutions
  • Ensuring data quality and integrity throughout all processes
  • Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data
  • Continuously researching and implementing best practices in data science and machine learning
  • Contributing to the development and improvement of internal data processing tools and infrastructure


Requirements

Bachelor's, Master's, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.

A minimum of 3 years of work or research experience dealing with large datasets.

Strong coding skills in Python +
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",2024-08-02,[] +3994726621,https://lt.linkedin.com/jobs/view/senior-data-scientist-threat-intelligence-team-at-nord-security-3994726621?position=27&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=cVv2nshch8GytG7z7CC18g%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist (Threat Intelligence team),Nord Security,"Vilnius, Vilniaus, Lithuania","Our Threat Intelligence team is dedicated to providing accurate and timely information on potential threats to our products. Our team of skilled professionals from various fields, including Data Science, Malware Research, Development, and Privacy, are focused on achieving a common goal by utilizing feeds, heuristics, algorithms, and machine learning. + +Main Responsibilities + + +Design solutions to problems while researching, debugging, and analyzing data using different data sources; +Take ownership of projects from idea to completion, demonstrating the ability to oversee all aspects of the project lifecycle, including planning, execution, monitoring, and delivery; +Create scalable & reliable code, as well as writing documentation for the parts that you’ve contributed to or explored; +Research, develop & deliver data science solutions to production; +Develops custom ML metrics that would help to monitor model performance; +Analyze validation/testing results, explain them and improve model design accordingly; +Plan the deliverables with the team members; +Code reviews; +Constant communication about the progress; +Mentoring & knowledge sharing; +Suggest improvements of current solutions + + + + + +Core Requirements + + +At least 3 years of experience of data science or mathematical modeling; +Solid knowledge of statistics (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference); +In-depth knowledge and hands-on experience in machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.; +Proficient in deep learning methodologies with a comprehensive understanding and extensive practical experience in their application; +Proficiency in Python and hands-on experience of the PyData stack (e.g., Pandas, Numpy, MatPlotLib, Spark) for analytics/machine learning; +Experience in cloud services ( we use AWS ); +Excellent problem-solving skills (researching, debugging, instrumentation); +Ability to break down and prioritize work, make informed decisions about which tools and algorithms to use for specific problems; +Willingness to explore, grow, and mentor others while keeping up with the latest innovations in data science + + + + + +Bonus Points For + + + +Understanding of networking and internet protocols +Ability to highlight potential problems in machine learning solutions at early stages +Released & maintained machine learning services in production + + + + + +Salary Range + + + +Monthly gross salary from 3310-6620 EUR + + + + + +About Us +Nord Security is a global leader in internet privacy and security solutions and Lithuania’s second tech unicorn. Established in 2012, Nord Security now has more than 1400 employees and serves millions of users worldwide. Our team has a global mission to shape a more secure and peaceful online future for people everywhere. With that in mind, we built several advanced cybersecurity solutions: NordVPN, NordLayer, NordLocker, NordPass, NordProtect, NordStellar, and Saily. + +NordVPN is the world’s most advanced VPN service provider, used by millions of internet users worldwide. NordVPN provides double VPN encryption and Onion Over VPN and guarantees privacy with zero tracking. One of the key features of the product is Threat Protection, which blocks malicious websites, malware, trackers, and ads. NordVPN is very user friendly, offers one of the best prices on the market, and has over 5,000 servers in 59 countries worldwide. + +And we’re always looking to expand our team of: + + + +Future shapers +Restless achievers +Self-movers +Honest communicators +Team players + + + + + +What We Offer + + +Access to Nord Security products. We build solutions used by millions of users worldwide, and you’ll get to experience our products firsthand; +Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential; +Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best; +Mental wellbeing. Access to mental health tools like Calm, Headspace, and Mindletic. Options for therapy to keep your emotional wellbeing in check; +Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us; +More free time. Stay with us and additional vacation days will be added to your calendar; +Additional paid leave. Additional days are covered by us in cases of illness or special occasions; +Flexibility. Flexible working time arrangement + + + + + +Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes: https://bit.ly/3urJdOL +Show more ","
+ + + + + +
+
+ Our Threat Intelligence team is dedicated to providing accurate and timely information on potential threats to our products. Our team of skilled professionals from various fields, including Data Science, Malware Research, Development, and Privacy, are focused on achieving a common goal by utilizing feeds, heuristics, algorithms, and machine learning.

Main Responsibilities

  • Design solutions to problems while researching, debugging, and analyzing data using different data sources;
  • Take ownership of projects from idea to completion, demonstrating the ability to oversee all aspects of the project lifecycle, including planning, execution, monitoring, and delivery;
  • Create scalable & reliable code, as well as writing documentation for the parts that you’ve contributed to or explored;
  • Research, develop & deliver data science solutions to production;
  • Develops custom ML metrics that would help to monitor model performance;
  • Analyze validation/testing results, explain them and improve model design accordingly;
  • Plan the deliverables with the team members;
  • Code reviews;
  • Constant communication about the progress;
  • Mentoring & knowledge sharing;
  • Suggest improvements of current solutions




Core Requirements

  • At least 3 years of experience of data science or mathematical modeling;
  • Solid knowledge of statistics (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference);
  • In-depth knowledge and hands-on experience in machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.;
  • Proficient in deep learning methodologies with a comprehensive understanding and extensive practical experience in their application;
  • Proficiency in Python and hands-on experience of the PyData stack (e.g., Pandas, Numpy, MatPlotLib, Spark) for analytics/machine learning;
  • Experience in cloud services ( we use AWS );
  • Excellent problem-solving skills (researching, debugging, instrumentation);
  • Ability to break down and prioritize work, make informed decisions about which tools and algorithms to use for specific problems;
  • Willingness to explore, grow, and mentor others while keeping up with the latest innovations in data science




Bonus Points For


  • Understanding of networking and internet protocols
  • Ability to highlight potential problems in machine learning solutions at early stages
  • Released & maintained machine learning services in production




Salary Range


  • Monthly gross salary from 3310-6620 EUR




About Us
Nord Security is a global leader in internet privacy and security solutions and Lithuania’s second tech unicorn. Established in 2012, Nord Security now has more than 1400 employees and serves millions of users worldwide. Our team has a global mission to shape a more secure and peaceful online future for people everywhere. With that in mind, we built several advanced cybersecurity solutions: NordVPN, NordLayer, NordLocker, NordPass, NordProtect, NordStellar, and Saily.

NordVPN is the world’s most advanced VPN service provider, used by millions of internet users worldwide. NordVPN provides double VPN encryption and Onion Over VPN and guarantees privacy with zero tracking. One of the key features of the product is Threat Protection, which blocks malicious websites, malware, trackers, and ads. NordVPN is very user friendly, offers one of the best prices on the market, and has over 5,000 servers in 59 countries worldwide.

And we’re always looking to expand our team of:


  • Future shapers
  • Restless achievers
  • Self-movers
  • Honest communicators
  • Team players




What We Offer

  • Access to Nord Security products. We build solutions used by millions of users worldwide, and you’ll get to experience our products firsthand;
  • Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential;
  • Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best;
  • Mental wellbeing. Access to mental health tools like Calm, Headspace, and Mindletic. Options for therapy to keep your emotional wellbeing in check;
  • Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us;
  • More free time. Stay with us and additional vacation days will be added to your calendar;
  • Additional paid leave. Additional days are covered by us in cases of illness or special occasions;
  • Flexibility. Flexible working time arrangement




Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes: https://bit.ly/3urJdOL +
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",2024-08-06,[] +3991349567,https://pt.linkedin.com/jobs/view/data-scientist-at-allegiance-group-3991349567?position=31&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=y3mTehAcrmQdVzRqOFKbxg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Allegiance Group,"Lisbon, Portugal","Job Title: Data Scientist + +Location: Lisbon - Hybrid + +Salary: €60,000 - €65,000 + + + + +We are seeking a skilled Data Scientist / Machine Learning Engineer to join our team. The ideal candidate will have a strong background in Python, data types, and basic algorithms, with expertise in memory management, data manipulation using Pandas and Numpy, and scientific computing with Scipy. Additionally, a solid understanding of probability theory, time series analysis, classical machine learning algorithms, and deep learning is essential. + + + + +Key Responsibilities: + + + + +Data Manipulation and Analysis: + +Utilize Pandas, Numpy, and Scipy for efficient data manipulation and analysis. +Implement and optimize basic algorithms with a focus on memory management. + + + + +Probability and Statistics: + +Apply probability theory concepts including probability density, cumulative distribution function, normal distribution, and quantiles. +Conduct time series analysis, focusing on autocorrelations, stationarity, and statistical criteria for time series. + + + + +Machine Learning: + +Develop and implement forecasting algorithms and evaluate their performance using relevant metrics. +Apply classical machine learning algorithms including decision trees, gradient boosting, and xgboost. +Design, train, evaluate, and deploy deep learning models using Pytorch. + + + + +System Design and Deployment: + +Ensure effective model monitoring and horizontal scaling. +Address system design topics to optimize model deployment and performance. + + + + +Requirements: + + + + +Technical Skills: + +Proficient in Python, with a deep understanding of data types, basic algorithms, and memory management. +Experience with data manipulation and analysis using Pandas, Numpy, and Scipy. +Strong knowledge of probability theory and its applications in data science. +Expertise in time series analysis and forecasting. +Proficient in classical machine learning algorithms and boosting techniques. +Experienced in deep learning with a focus on neural networks and Pytorch. + + + + +Additional Skills: + +Ability to train, evaluate, and deploy machine learning models. +Strong understanding of model monitoring and horizontal scaling. +Familiarity with system design concepts related to data science and machine learning. + + + + +If you are interested in finding out more, please APPLY & get in touch with Libby Dewar @ Allegiance Technology + +Show more ","
+ + + + + +
+
+

Job Title: Data Scientist

Location: Lisbon - Hybrid

Salary: €60,000 - €65,000


We are seeking a skilled Data Scientist / Machine Learning Engineer to join our team. The ideal candidate will have a strong background in Python, data types, and basic algorithms, with expertise in memory management, data manipulation using Pandas and Numpy, and scientific computing with Scipy. Additionally, a solid understanding of probability theory, time series analysis, classical machine learning algorithms, and deep learning is essential.


Key Responsibilities:


Data Manipulation and Analysis:

  • Utilize Pandas, Numpy, and Scipy for efficient data manipulation and analysis.
  • Implement and optimize basic algorithms with a focus on memory management.


Probability and Statistics:

  • Apply probability theory concepts including probability density, cumulative distribution function, normal distribution, and quantiles.
  • Conduct time series analysis, focusing on autocorrelations, stationarity, and statistical criteria for time series.


Machine Learning:

  • Develop and implement forecasting algorithms and evaluate their performance using relevant metrics.
  • Apply classical machine learning algorithms including decision trees, gradient boosting, and xgboost.
  • Design, train, evaluate, and deploy deep learning models using Pytorch.


System Design and Deployment:

  • Ensure effective model monitoring and horizontal scaling.
  • Address system design topics to optimize model deployment and performance.


Requirements:


Technical Skills:

  • Proficient in Python, with a deep understanding of data types, basic algorithms, and memory management.
  • Experience with data manipulation and analysis using Pandas, Numpy, and Scipy.
  • Strong knowledge of probability theory and its applications in data science.
  • Expertise in time series analysis and forecasting.
  • Proficient in classical machine learning algorithms and boosting techniques.
  • Experienced in deep learning with a focus on neural networks and Pytorch.


Additional Skills:

  • Ability to train, evaluate, and deploy machine learning models.
  • Strong understanding of model monitoring and horizontal scaling.
  • Familiarity with system design concepts related to data science and machine learning.


If you are interested in finding out more, please APPLY & get in touch with Libby Dewar @ Allegiance Technology

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",2024-08-02,[] +3991710966,https://fr.linkedin.com/jobs/view/machine-learning-engineer-at-career-renew-3991710966?position=32&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=UHoFqTSdgshoskBS3mwPNw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Career Renew,France,"Career Renew is recruiting for one of its clients a Machine Learning Engineer - candidates need to be based in US, Canada or Europe. + +We are an early-stage startup that is on a mission to democratize the future of AI. Through our first product we provide universal access to public web data, and a system where ordinary people can participate in the process - and share in the benefits. + +This project is for those who lead with initiative, seek to challenge themselves and thrive on curiosity. + +We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet. + +The Role. + +We are looking for a Machine Learning Engineer who is skilled and has significant experience in developing machine learning models. You will join a small, innovative team and lead efforts to advance our capabilities, drive model development, and support our vision for a future where we are transformative in the evolution of the internet. + +What You'll Be Doing. + + +Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis +Designing and implementing pipelines for processing and analyzing large text datasets +Analyzing and interpreting complex time series data to provide actionable insights and solutions +Designing, implementing, and maintaining data-driven models and algorithms +Collaborating with cross-functional teams to understand data needs and deliver timely solutions +Ensuring data quality and integrity throughout all processes +Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data +Continuously researching and implementing best practices in data science and machine learning +Contributing to the development and improvement of internal data processing tools and infrastructure + + + +Requirements + +Bachelor's, Master's, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field. + +A minimum of 3 years of work or research experience dealing with large datasets. + +Strong coding skills in Python +Show more ","
+ + + + + +
+
+ Career Renew is recruiting for one of its clients a Machine Learning Engineer - candidates need to be based in US, Canada or Europe.

We are an early-stage startup that is on a mission to democratize the future of AI. Through our first product we provide universal access to public web data, and a system where ordinary people can participate in the process - and share in the benefits.

This project is for those who lead with initiative, seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

The Role.

We are looking for a Machine Learning Engineer who is skilled and has significant experience in developing machine learning models. You will join a small, innovative team and lead efforts to advance our capabilities, drive model development, and support our vision for a future where we are transformative in the evolution of the internet.

What You'll Be Doing.

  • Developing, fine-tuning, and deploying LLMs for various NLP tasks such as text generation, summarization, translation, and sentiment analysis
  • Designing and implementing pipelines for processing and analyzing large text datasets
  • Analyzing and interpreting complex time series data to provide actionable insights and solutions
  • Designing, implementing, and maintaining data-driven models and algorithms
  • Collaborating with cross-functional teams to understand data needs and deliver timely solutions
  • Ensuring data quality and integrity throughout all processes
  • Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data
  • Continuously researching and implementing best practices in data science and machine learning
  • Contributing to the development and improvement of internal data processing tools and infrastructure


Requirements

Bachelor's, Master's, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.

A minimum of 3 years of work or research experience dealing with large datasets.

Strong coding skills in Python +
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+ +
",2024-08-02,[] +3986516937,https://be.linkedin.com/jobs/view/machine-learning-engineer-llms-at-sinch-3986516937?position=33&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=ZTeca0yL8M%2BW%2BXO%2BNL%2BhEg%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer (LLMs),Sinch,"Antwerp, Flemish Region, Belgium","At Sinch, we pioneer the way the world communicates. Our customer communications cloud empowers businesses to reach everyone in world, in seconds or less, through mobile messaging, email, voice and video. We reach every phone on the planet 7 times a year and 8 out of 10 largest US tech companies are our customers. Sinch AI adds a layer of intentional intelligence on top of that, to build smarter, safer conversational experiences, faster. + +As a Machine Learning (ML) Engineer, you will play a vital role in building and expanding the core machine learning capabilities of Conversational AI at Sinch. Working as part of a dynamic and cross-functional team, you will have the autonomy to define objectives and goals, taking ownership of the entire product development life cycle - from planning and design to implementation, testing, deployment, monitoring, and maintenance. + +You will work on the intersection of the Generative AI team and the Conversational AI team of Sinch. The Conversational AI team is responsible for all conversational experiences in Sinch Chatlayer, Sinch Engage, and Sinch MessageMedia. Here, your focus will be on leveraging Large Language Models (LLMs) and generative AI to both make bot building much easier and bots themselves much more effective, natural and enjoyable. You will evaluate, test, customize, deploy, and integrate the latest LLMs into the platform to create more advanced and intuitive conversational experiences. + +Our tech stack: Python, Kubernetes, GCP, AWS, PyTorch, MLFlow, OpenSearch, LangChain, OpenAI LLMs, Gemini LLMs, Open-Source LLMs like LLama + +As a Machine Learning Engineer, Your Responsibilities Will Include + + +Experimenting with, applying, and benchmarking new algorithms, with a strong emphasis on LLMs and generative AI +Deploying machine learning code in the cloud +Proactively exploring new and emerging (generative) AI solutions that can enhance the value delivered to our product and customers +Contributing your innovative ideas to enable the development of human-like chat and voice bots using the latest advancements in generative AI +Setting up proof-of-concepts and transforming them into production-ready features + + +Requirements + + +You are an AI enthusiast who keeps up with the latest trends in AI and ML, and loves to use these new technologies to solve real-world problems +You have worked with machine learning for at least three years and are familiar with common natural language processing and machine learning concepts such as clustering, embeddings, neural networks,... +You have put machine learning applications in production before and are familiar with concepts such as unit testing, CI/CD pipelines and monitoring, but also on how you measure the quality of the machine learning solution +You have built an LLM-based application and are keen to build many more! +You are proficient in Python +You are fluent in English + + +Benefits + +Sinch is a global company composed of people from different countries and cultures. Our benefits adjust regionally to support employees and help them to thrive in every stage of life. We offer valuable benefits and resources, including health and life insurance, a flexible work environment, retirement savings plans, and more. + +Our Hiring Process + +In Sinch, we are committed to following a recruitment process that is fair, objective, consistent, and equal opportunity. Our Talent Acquisition team, together with hiring managers and the rest of the interviewing team, persistently works towards identifying the people that best fit each open job, based on Sinch' s hiring needs and candidates' career expectations. + +We encourage applications from strong candidates with relevant professional backgrounds for this role. Not all applicants will meet all job requirements exactly! Don't let that stop you from considering Sinch for the next step in your career. We are always open to candidates that could bring new insights and perspectives to Sinch! +Show more ","
+ + + + + +
+
+ At Sinch, we pioneer the way the world communicates. Our customer communications cloud empowers businesses to reach everyone in world, in seconds or less, through mobile messaging, email, voice and video. We reach every phone on the planet 7 times a year and 8 out of 10 largest US tech companies are our customers. Sinch AI adds a layer of intentional intelligence on top of that, to build smarter, safer conversational experiences, faster.

As a Machine Learning (ML) Engineer, you will play a vital role in building and expanding the core machine learning capabilities of Conversational AI at Sinch. Working as part of a dynamic and cross-functional team, you will have the autonomy to define objectives and goals, taking ownership of the entire product development life cycle - from planning and design to implementation, testing, deployment, monitoring, and maintenance.

You will work on the intersection of the Generative AI team and the Conversational AI team of Sinch. The Conversational AI team is responsible for all conversational experiences in Sinch Chatlayer, Sinch Engage, and Sinch MessageMedia. Here, your focus will be on leveraging Large Language Models (LLMs) and generative AI to both make bot building much easier and bots themselves much more effective, natural and enjoyable. You will evaluate, test, customize, deploy, and integrate the latest LLMs into the platform to create more advanced and intuitive conversational experiences.

Our tech stack: Python, Kubernetes, GCP, AWS, PyTorch, MLFlow, OpenSearch, LangChain, OpenAI LLMs, Gemini LLMs, Open-Source LLMs like LLama

As a Machine Learning Engineer, Your Responsibilities Will Include

  • Experimenting with, applying, and benchmarking new algorithms, with a strong emphasis on LLMs and generative AI
  • Deploying machine learning code in the cloud
  • Proactively exploring new and emerging (generative) AI solutions that can enhance the value delivered to our product and customers
  • Contributing your innovative ideas to enable the development of human-like chat and voice bots using the latest advancements in generative AI
  • Setting up proof-of-concepts and transforming them into production-ready features

Requirements

  • You are an AI enthusiast who keeps up with the latest trends in AI and ML, and loves to use these new technologies to solve real-world problems
  • You have worked with machine learning for at least three years and are familiar with common natural language processing and machine learning concepts such as clustering, embeddings, neural networks,...
  • You have put machine learning applications in production before and are familiar with concepts such as unit testing, CI/CD pipelines and monitoring, but also on how you measure the quality of the machine learning solution
  • You have built an LLM-based application and are keen to build many more!
  • You are proficient in Python
  • You are fluent in English

Benefits

Sinch is a global company composed of people from different countries and cultures. Our benefits adjust regionally to support employees and help them to thrive in every stage of life. We offer valuable benefits and resources, including health and life insurance, a flexible work environment, retirement savings plans, and more.

Our Hiring Process

In Sinch, we are committed to following a recruitment process that is fair, objective, consistent, and equal opportunity. Our Talent Acquisition team, together with hiring managers and the rest of the interviewing team, persistently works towards identifying the people that best fit each open job, based on Sinch' s hiring needs and candidates' career expectations.

We encourage applications from strong candidates with relevant professional backgrounds for this role. Not all applicants will meet all job requirements exactly! Don't let that stop you from considering Sinch for the next step in your career. We are always open to candidates that could bring new insights and perspectives to Sinch! +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3984784374,https://be.linkedin.com/jobs/view/data-scientist-machine-learning-engineer-at-royal-military-academy-belgium-3984784374?position=34&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=I7K44opLGfdgIJlmFbEstg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist/Machine Learning Engineer,"Royal Military Academy, Belgium","Brussels, Brussels Region, Belgium","APPLICATION BY EMAIL according to the application rules hereunder (not via LinkedIn). Please attach all the documents asked. + + + + +About the project + +On the battlefield, injured soldiers can face significant delays in medical treatment or evacuation due to ongoing hostilities and treacherous terrain. Traditional methods of casualty care rely on limited information and may put medics at unnecessary risk: medics often lack a comprehensive picture of the battlefield, hindering their ability to locate and prioritise casualties while minimising exposure to threats. The TaMaCare project emerges from this critical observation, aiming to revolutionise battlefield casualty care by creating a real-time digital twin of the frontline. More precisely, we aim to improve response times and decision-making in critical situations. The proposed digital twin aims to provide medics with a clear view of the battlefield, encompassing the location of injured soldiers, their vital signs, and any structures or potential dangers present in the vicinity. + + + + +Expected results + +The impact of TaMaCare on battlefield casualty care is multifaceted and far-reaching: + +Faster and better decision making: TaMaCare will create a digital twin of the battlefield for use by the rear echelon and decision makers, allowing faster response times and improved decision-making. The digital twin will provide real-time information of the environment, casualty location and their health status, allowing medics to make informed decisions about treatment priorities and evacuation routes, considering factors like urgency, (environmental) hazards, and resource availability. The detailed 3D map, including casualties and threats, can also be used to plan optimal evacuation routes, taking into account terrain, obstacles, and the physical condition of casualties. +Reduced risk for soldiers and medics: The digital twin will be created using unmanned systems, i.e. without putting soldiers in harm’s way. By providing a clear picture of potential threats, TaMaCare allows medics to navigate the battlefield with greater awareness and minimise their exposure to danger. +Post-action analysis: The digital twin allows for an after action analysis of the decision and actions that were made, allowing to draw lessons for future interventions. + +The benefits of TaMaCare extend beyond immediate casualty care and contribute to a broader strengthening of defence capabilities. In fact, the project fosters advancements in 3D mapping, threat detection/assessment through image processing, and Ultra-Wide Band (UWB) localization networks. These advancements have broader applications for military and civilian operations and for intelligence gathering: planning for offensive/defensive operations, re-assessment of the geometrical environment after man-made or natural calamities, improved navigation of unmanned vehicles, removal of UXO/IED (Unexploded Ordnance/Improvised Explosive Devices), etc. + + + + +Your role + +The research in TaMaCare will be performed by a Belgian consortium. The role of the researcher hired for this job offer will focus on the development of AI models and ML techniques to facilitate, automate and simplify detection of threats on the battlefield using electromagnetic (panchromatic, multispectral or hyperspectral) sensors in the visible and infrared spectrum based on their spatial or spatio-spectral signature. This knowledge will also be applied to other projects within RMA with similar needs. + + + + +Required skills + +Technical skills + +The applicant shall have a Master Degree in Engineering Science, Applied Sciences, Civil Engineering, Physics, Computer Science or Mathematics. + +Training or experience in Artificial Intelligence, Machine Learning and/or Deep Learning is essential; +Experience in programming with C++ or Python is essential; +Experience with OpenCV, PyTorch or Tensorflow is highly recommended; +Experience with Computer Vision is highly recommended; +Experience with the Robotic Operating System (ROS) or Linux is recommended; +Training or experience in multi- or hyperspectral imaging or other EO technologies is an added value; +Training or experience in processing of large scale data is an added value; +Training or experience in agile workflow methodologies is an added value; +Training or experience in applied, collaborative research is an added value; + +Other skills + +The applicant shall have very good knowledge of English (oral / written). +The applicant shall preferably have knowledge of either French or Dutch and a minimum knowledge of the other language in order to allow collaboration with peers. This will be tested during the selection process. + +Specific requirements + +Interest in starting a PhD is an added value. +The researcher may be exposed to classified information and will therefore have to obtain the required security clearance. The candidate must consent with the background check required to obtain this clearance, which will be executed by the Belgian Defence. +A driver’s licence valid in Belgium is an added value. +Working for the Patrimony requires living in Belgium for the duration of the study. + + + + +Application + +You will be working in a military environment. That is why everyone is expected to undergo a security verification. A passport issued by a country that is both member of the EU and NATO is required. Please add to your application the filled-out document. The form can be downloaded from: + +http://www.rma.ac.be/nl/aanvraag-veiligheidsverificatie (Dutch) or + +https://rma.ac.be/sites/default/files/2021-03/Demande%20d%27Avis%20de%20S%C3%A9curit%C3%A9_F.pdf (French). + +There is unfortunately no English version of this document. + +Please send your complete application by e-mail. Incomplete applications will not be considered. We do not accept applications via LinkedIn. Send ALL of the following elements to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be), ir Charles HAMESSE (charles.hamesse@mil.be) and Dr ir Helena BRUYNINCKX (erm-deao-rswo@mil.be): + +a CV and a motivational letter +a scan of your ID card (both sides); +the filled-out security document (Please do not forget to sign & add the denomination “GELEZEN EN GOEDGEKEURD” (Dutch) or “LU ET APPROUVE” (French)) +your relevant publications (a link to an online open access repository is acceptable) + +Please mention clearly the reference of the project in the subject line of your mail: “TaMaCare”. + +(Mails received without this reference or applications sent other than by email to all the above addresses will not be considered. Applications that do not contain all the above elements will also not be considered.) + +Application deadline: 16th of August 2024 + +The interviews will take place at the Royal Military Academy, Hobbemastraat 8, 1000 Brussels. In specific cases, on-line interviews can take place. The date and time of the interview will be communicated to the preselected candidates. + + + + +Contract + +Date of selection: September 26th 2024 +Start of contract: December 1st 2024. +This contract depends on the acceptance of a study proposal. Acceptance will only be known on September 25th. This means that the job offer is currently provisional until that date. +Status: Full-time employment (38 hours / week) based on an open-ended contract with the Patrimony of the Royal Military Academy (you will not be a civil servant). +To be very clear: your contract will be open-ended, but the financing of the contract will be tied to a project that ends on November 30th 2027. The financing of your contract beyond that period is therefore not 100% guaranteed. However, the chance that we will be able to offer a follow-up project beyond that date is high. +Wage scale: class A1 (holder of a Master's Degree in Science, doctor’s degree in the same area of expertise); class A2 (holder of an Ir degree or equivalent Master's degree in Engineering Sciences, doctor’s degree in the same area of expertise). RMA-Patrimony applies a merit-based research career track, allowing researchers to advance in wage scale based upon annual evaluations. +Holiday pay. + +Extra-legal benefits + +Possibility to benefit from a bilingualism allowance (Dutch/French) following a SELOR test; +End-of-year bonus; +Free DKV hospitalization insurance. Possibility of additional affiliation for one or more persons living under the same roof: spouse, child(ren) (50% of the price per additional member); +Bike allowance / Free public transport (home-work commute); +Free access to campus sports facilities outside working hours; +On-campus restaurant and cafeteria with democratic prices (discount on the daily menu); +Meal vouchers (6€/day) +Flexible working hours within the 38-hour week + Teleworking possible with allowance; +Holidays o 29 days holiday / year from the 1st year of contract (then from 45 years: +1 day holiday every 5 years) o + 1 week OFF every year between Christmas and New year’s Eve +Advantages and interesting offers thanks to the Benefits@work card (discounts, vouchers...); +Entitlement to services offered by the ‘Office Central d'Action Sociale et Culturelle de la Défense’ (OCASC): among others holiday centres, discount on travel organised by the tour operator...; +Possibility of benefiting from the nursery funded by Belgian Defence (subject to availability). + + + + +Workplace + +Royal Military Academy, Avenue de la Renaissance 30, 1000 Brussels; +Occasional travels abroad for scientific conferences, etc. + +Points of contact + +Concerning the research project: to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be ) +Concerning the recruitment modalities: Dr ir Helena Bruyninckx (erm-deao-rswo@mil.be) +For more information about the Royal Military Academy, see http://www.rma.ac.be +Show more ","
+ + + + + +
+
+

APPLICATION BY EMAIL according to the application rules hereunder (not via LinkedIn). Please attach all the documents asked.


About the project

On the battlefield, injured soldiers can face significant delays in medical treatment or evacuation due to ongoing hostilities and treacherous terrain. Traditional methods of casualty care rely on limited information and may put medics at unnecessary risk: medics often lack a comprehensive picture of the battlefield, hindering their ability to locate and prioritise casualties while minimising exposure to threats. The TaMaCare project emerges from this critical observation, aiming to revolutionise battlefield casualty care by creating a real-time digital twin of the frontline. More precisely, we aim to improve response times and decision-making in critical situations. The proposed digital twin aims to provide medics with a clear view of the battlefield, encompassing the location of injured soldiers, their vital signs, and any structures or potential dangers present in the vicinity.


Expected results

The impact of TaMaCare on battlefield casualty care is multifaceted and far-reaching:

  • Faster and better decision making: TaMaCare will create a digital twin of the battlefield for use by the rear echelon and decision makers, allowing faster response times and improved decision-making. The digital twin will provide real-time information of the environment, casualty location and their health status, allowing medics to make informed decisions about treatment priorities and evacuation routes, considering factors like urgency, (environmental) hazards, and resource availability. The detailed 3D map, including casualties and threats, can also be used to plan optimal evacuation routes, taking into account terrain, obstacles, and the physical condition of casualties.
  • Reduced risk for soldiers and medics: The digital twin will be created using unmanned systems, i.e. without putting soldiers in harm’s way. By providing a clear picture of potential threats, TaMaCare allows medics to navigate the battlefield with greater awareness and minimise their exposure to danger.
  • Post-action analysis: The digital twin allows for an after action analysis of the decision and actions that were made, allowing to draw lessons for future interventions.

The benefits of TaMaCare extend beyond immediate casualty care and contribute to a broader strengthening of defence capabilities. In fact, the project fosters advancements in 3D mapping, threat detection/assessment through image processing, and Ultra-Wide Band (UWB) localization networks. These advancements have broader applications for military and civilian operations and for intelligence gathering: planning for offensive/defensive operations, re-assessment of the geometrical environment after man-made or natural calamities, improved navigation of unmanned vehicles, removal of UXO/IED (Unexploded Ordnance/Improvised Explosive Devices), etc.


Your role

The research in TaMaCare will be performed by a Belgian consortium. The role of the researcher hired for this job offer will focus on the development of AI models and ML techniques to facilitate, automate and simplify detection of threats on the battlefield using electromagnetic (panchromatic, multispectral or hyperspectral) sensors in the visible and infrared spectrum based on their spatial or spatio-spectral signature. This knowledge will also be applied to other projects within RMA with similar needs.


Required skills

Technical skills

The applicant shall have a Master Degree in Engineering Science, Applied Sciences, Civil Engineering, Physics, Computer Science or Mathematics.

  • Training or experience in Artificial Intelligence, Machine Learning and/or Deep Learning is essential;
  • Experience in programming with C++ or Python is essential;
  • Experience with OpenCV, PyTorch or Tensorflow is highly recommended;
  • Experience with Computer Vision is highly recommended;
  • Experience with the Robotic Operating System (ROS) or Linux is recommended;
  • Training or experience in multi- or hyperspectral imaging or other EO technologies is an added value;
  • Training or experience in processing of large scale data is an added value;
  • Training or experience in agile workflow methodologies is an added value;
  • Training or experience in applied, collaborative research is an added value;

Other skills

  • The applicant shall have very good knowledge of English (oral / written).
  • The applicant shall preferably have knowledge of either French or Dutch and a minimum knowledge of the other language in order to allow collaboration with peers. This will be tested during the selection process.

Specific requirements

  • Interest in starting a PhD is an added value.
  • The researcher may be exposed to classified information and will therefore have to obtain the required security clearance. The candidate must consent with the background check required to obtain this clearance, which will be executed by the Belgian Defence.
  • A driver’s licence valid in Belgium is an added value.
  • Working for the Patrimony requires living in Belgium for the duration of the study.


Application

You will be working in a military environment. That is why everyone is expected to undergo a security verification. A passport issued by a country that is both member of the EU and NATO is required. Please add to your application the filled-out document. The form can be downloaded from:

http://www.rma.ac.be/nl/aanvraag-veiligheidsverificatie (Dutch) or

https://rma.ac.be/sites/default/files/2021-03/Demande%20d%27Avis%20de%20S%C3%A9curit%C3%A9_F.pdf (French).

There is unfortunately no English version of this document.

Please send your complete application by e-mail. Incomplete applications will not be considered. We do not accept applications via LinkedIn. Send ALL of the following elements to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be), ir Charles HAMESSE (charles.hamesse@mil.be) and Dr ir Helena BRUYNINCKX (erm-deao-rswo@mil.be):

  • a CV and a motivational letter
  • a scan of your ID card (both sides);
  • the filled-out security document (Please do not forget to sign & add the denomination “GELEZEN EN GOEDGEKEURD” (Dutch) or “LU ET APPROUVE” (French))
  • your relevant publications (a link to an online open access repository is acceptable)

Please mention clearly the reference of the project in the subject line of your mail: “TaMaCare”.

(Mails received without this reference or applications sent other than by email to all the above addresses will not be considered. Applications that do not contain all the above elements will also not be considered.)

Application deadline: 16th of August 2024

The interviews will take place at the Royal Military Academy, Hobbemastraat 8, 1000 Brussels. In specific cases, on-line interviews can take place. The date and time of the interview will be communicated to the preselected candidates.


Contract

  • Date of selection: September 26th 2024
  • Start of contract: December 1st 2024.
  • This contract depends on the acceptance of a study proposal. Acceptance will only be known on September 25th. This means that the job offer is currently provisional until that date.
  • Status: Full-time employment (38 hours / week) based on an open-ended contract with the Patrimony of the Royal Military Academy (you will not be a civil servant).
  • To be very clear: your contract will be open-ended, but the financing of the contract will be tied to a project that ends on November 30th 2027. The financing of your contract beyond that period is therefore not 100% guaranteed. However, the chance that we will be able to offer a follow-up project beyond that date is high.
  • Wage scale: class A1 (holder of a Master's Degree in Science, doctor’s degree in the same area of expertise); class A2 (holder of an Ir degree or equivalent Master's degree in Engineering Sciences, doctor’s degree in the same area of expertise). RMA-Patrimony applies a merit-based research career track, allowing researchers to advance in wage scale based upon annual evaluations.
  • Holiday pay.

Extra-legal benefits

  • Possibility to benefit from a bilingualism allowance (Dutch/French) following a SELOR test;
  • End-of-year bonus;
  • Free DKV hospitalization insurance. Possibility of additional affiliation for one or more persons living under the same roof: spouse, child(ren) (50% of the price per additional member);
  • Bike allowance / Free public transport (home-work commute);
  • Free access to campus sports facilities outside working hours;
  • On-campus restaurant and cafeteria with democratic prices (discount on the daily menu);
  • Meal vouchers (6€/day)
  • Flexible working hours within the 38-hour week + Teleworking possible with allowance;
  • Holidays o 29 days holiday / year from the 1st year of contract (then from 45 years: +1 day holiday every 5 years) o + 1 week OFF every year between Christmas and New year’s Eve
  • Advantages and interesting offers thanks to the Benefits@work card (discounts, vouchers...);
  • Entitlement to services offered by the ‘Office Central d'Action Sociale et Culturelle de la Défense’ (OCASC): among others holiday centres, discount on travel organised by the tour operator...;
  • Possibility of benefiting from the nursery funded by Belgian Defence (subject to availability).


Workplace

  • Royal Military Academy, Avenue de la Renaissance 30, 1000 Brussels;
  • Occasional travels abroad for scientific conferences, etc.

Points of contact

  • Concerning the research project: to Prof Dr ir Rob HAELTERMAN (rob.haelterman@mil.be )
  • Concerning the recruitment modalities: Dr ir Helena Bruyninckx (erm-deao-rswo@mil.be)
  • For more information about the Royal Military Academy, see http://www.rma.ac.be
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3987017083,https://de.linkedin.com/jobs/view/junior-machine-learning-engineer-m-f-d-at-zdf-sparks-3987017083?position=35&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=aOK6Ht8ez6E0PpyihfQDIg%3D%3D&trk=public_jobs_jserp-result_search-card,(Junior) Machine Learning Engineer (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) Machine Learning Engineer (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 machine learning and data science team with + + +Design, review, implementation and modernization of ML & DL algorithms +Design of new ML, DL, RL and LLM systems and their data pipelines +Help to train new models for various use cases from POC to production  +Develop tools and processes to monitor and analyze the performance and accuracy of models +Work on solutions across multiple media formats such as text, image, audio and video +Open source ML algorithms and explain them for larger audiences + + +Your Profile + + +Proficiency in Python, including frameworks like TensorFlow, PyTorch, Keras, and scikit-learn, and familiarity with pandas and XGBoost. +Experience in building production-ready and scalable machine learning applications, with best practices in software engineering. +Knowledge of AI/ML frameworks and initial professional experience in analyzing complex data using NLP models and LLMs. +Familiarity with data analytics and visualization tools, and containerization/orchestration technologies such as Docker and Kubernetes. +Experience with Google Machine Learning products and cloud platforms, such as AutoML and Document AI, and knowledge of infrastructures like Terraform. +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) Machine Learning Engineer (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 machine learning and data science team with

  • Design, review, implementation and modernization of ML & DL algorithms
  • Design of new ML, DL, RL and LLM systems and their data pipelines
  • Help to train new models for various use cases from POC to production 
  • Develop tools and processes to monitor and analyze the performance and accuracy of models
  • Work on solutions across multiple media formats such as text, image, audio and video
  • Open source ML algorithms and explain them for larger audiences

Your Profile

  • Proficiency in Python, including frameworks like TensorFlow, PyTorch, Keras, and scikit-learn, and familiarity with pandas and XGBoost.
  • Experience in building production-ready and scalable machine learning applications, with best practices in software engineering.
  • Knowledge of AI/ML frameworks and initial professional experience in analyzing complex data using NLP models and LLMs.
  • Familiarity with data analytics and visualization tools, and containerization/orchestration technologies such as Docker and Kubernetes.
  • Experience with Google Machine Learning products and cloud platforms, such as AutoML and Document AI, and knowledge of infrastructures like Terraform.
  • 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,[] +3980250181,https://it.linkedin.com/jobs/view/data-scientist-internship-at-translated-3980250181?position=38&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=%2Fvqt5eTb6r2YDF3Y9du0OA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist Internship,Translated,"Rome, Latium, Italy","About Translated + +Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language. + +Our success stems from a unique blend of the world’s #1 adaptive neural machine translation technology (IDC MarketScape 2022), the largest network of vetted, native-speaking professional translators, and top-ranked AI-enabled text, audio, and video translation tools (Gartner, 2022). + +By leveraging a seamless symbiosis of artificial intelligence and human creativity, we design custom localization projects that were previously unthinkable, helping more than 280,000 clients grow their businesses worldwide. + +We offer: Data Scientist Internship to join the Translated Data Science and AI Production team in our HQ in Pi Campus, Rome. The candidate will be responsible for building Machine Learning services and analyze company data. + +What You’ll Do + + +Machine Learning Projects such as Classification Models, Text Categorization +Building and maintaining company-wide KPIs +ETL pipelines +Analyze company data to improve process and KPIs + + +Qualifications Required + + +MSc in Computer Science, Mathematics, Physics, Statistics +Experience of Python programming, Machine Learning and Data manipulation libraries +Experience in data wrangling, cleaning, exploration, and feature extraction. +Experience with Relational DBMS ( MySQL, PostgreSQL ) +Experience with NoSQL DBMS ( Redis, MongoDB ) +Experience with version control GIT and Github workflow +Experience in Natural Language Processing (NLP) +Excellent knowledge of Italian, English and preferably another language. +Excellent interpersonal and communication skills. +Ability to rapidly define ideas and solutions, develop critical analyses, and use creative approaches to solve complex problems. + + +Headquarter + +Translated is hosted at Pi Campus, a working environment immersed in nature where 5 luxury villas have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups. + +Benefits and Perks + + +Gym +Swimming Pool +Kickboxing +Water aerobics +Fitness +Pilates +Table Tennis and Football table +Kitchen and snacks + + +Learn more about our company: https://translated.com/work-at-translated-onboarding + +Diversity statement + +At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential. + +Privacy Policy +Show more ","
+ + + + + +
+
+ About Translated

Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language.

Our success stems from a unique blend of the world’s #1 adaptive neural machine translation technology (IDC MarketScape 2022), the largest network of vetted, native-speaking professional translators, and top-ranked AI-enabled text, audio, and video translation tools (Gartner, 2022).

By leveraging a seamless symbiosis of artificial intelligence and human creativity, we design custom localization projects that were previously unthinkable, helping more than 280,000 clients grow their businesses worldwide.

We offer: Data Scientist Internship to join the Translated Data Science and AI Production team in our HQ in Pi Campus, Rome. The candidate will be responsible for building Machine Learning services and analyze company data.

What You’ll Do

  • Machine Learning Projects such as Classification Models, Text Categorization
  • Building and maintaining company-wide KPIs
  • ETL pipelines
  • Analyze company data to improve process and KPIs

Qualifications Required

  • MSc in Computer Science, Mathematics, Physics, Statistics
  • Experience of Python programming, Machine Learning and Data manipulation libraries
  • Experience in data wrangling, cleaning, exploration, and feature extraction.
  • Experience with Relational DBMS ( MySQL, PostgreSQL )
  • Experience with NoSQL DBMS ( Redis, MongoDB )
  • Experience with version control GIT and Github workflow
  • Experience in Natural Language Processing (NLP)
  • Excellent knowledge of Italian, English and preferably another language.
  • Excellent interpersonal and communication skills.
  • Ability to rapidly define ideas and solutions, develop critical analyses, and use creative approaches to solve complex problems.

Headquarter

Translated is hosted at Pi Campus, a working environment immersed in nature where 5 luxury villas have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Benefits and Perks

  • Gym
  • Swimming Pool
  • Kickboxing
  • Water aerobics
  • Fitness
  • Pilates
  • Table Tennis and Football table
  • Kitchen and snacks

Learn more about our company: https://translated.com/work-at-translated-onboarding

Diversity statement

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

Privacy Policy +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3990695956,https://es.linkedin.com/jobs/view/data-scientist-at-sportium-3990695956?position=39&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=Z4Is93t5RCE%2BA6W09JmlqQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Sportium,"Sant Cugat del Vallès, Catalonia, Spain","¿Quieres formar parte de una consolidada empresa en el sector del Ocio y Entretenimiento donde se trabaja siempre con las últimas tecnologías y que te de libertad de gestión? + + + + +¡Actualmente buscamos un/a Data Scientist para nuestras oficinas ubicadas en Sant Cugat! + + + + +¿Qué podemos ofrecerte? + + + + +⌚Flexibilidad horaria. + +🤝 Bonus referral por referenciar a una persona que cumpla con el perfil que buscamos. ¡Tu recomendación es garantía extra de calidad! + +💳 Paquete de retribución flexible con beneficios en tributación (tarjeta restaurante, seguro médico, bono transporte, formación o guardería) + +📚 Formación continua con un amplio catálogo de cursos a tu alcance + +✅ Programa de Becas CIRSA para formarte en lo que quieras + +🌱 Empresa comprometida socialmente a través de la ESG + +🧘‍♀️ Programas de wellbeing: risoterapia, alimentación saludable, yoga … + +🚴 Clubes deportivos CIRSA: running club, bike club y pádel club dónde podrás competir en torneos internos y contra otras empresas. + + + + +¿Qué harás en la posición? + + + + +Utilizarás técnicas estadísticas avanzadas para analizar grandes conjuntos de datos y extraer patrones significativos. +Identificarás oportunidades y desafíos a través de la exploración y análisis de datos. +Desarrollarás modelos predictivos y prescriptivos para mejorar la toma de decisiones. +Evaluarás y mejorarás continuamente el rendimiento de los modelos existentes. +Aplicarás algoritmos de aprendizaje automático para resolver problemas empresariales. +Colaborarás con otros equipos para implementar soluciones basadas en modelos de machine learning. +Crearás visualizaciones efectivas para comunicar resultados y tendencias a diferentes audiencias. +Desarrollarás cuadros de mando interactivos para facilitar la toma de decisiones. +Trabajarás estrechamente con equipos de negocio y tecnología para entender los requisitos y objetivos. +Colaborarás en la definición de arquitecturas de datos eficientes y escalables. + + + + +¿Qué te hará triunfar? + + + + +Título universitario en Ciencias de la Computación, Estadísticas, Matemáticas, Ingeniería u otro campo relacionado. +Muy valorable tener formación en Data Science. +Habilidades sólidas en visualización de datos utilizando herramientas como Tableau, Power BI, etc. +Experiencia práctica con herramientas y bibliotecas de machine learning. +Conocimiento de lenguajes de programación como Python o R. +Experiencia comprobada en proyectos de análisis de datos y modelado predictivo. +Comprensión de los principios de la ética en el manejo de datos y la privacidad. +Excelentes habilidades de comunicación y capacidad para trabajar en equipo. +Trabajarás estrechamente con equipos de negocio y tecnología para entender los requisitos y objetivos. + + + + +Si eres una persona apasionada de tu trabajo y quieres seguir desarrollando tu carrera profesional ¡Inscríbete! + + + + +“CIRSA es una compañía implicada con la Igualdad de Oportunidades. Por ello, nos responsabilizamos para que nuestros procesos de selección se lleven a cabo en igualdad de condiciones y sin discriminaciones por razón de nacimiento, edad, raza, sexo, orientación sexual, religión, estatus marital, opinión o cualquier otra condición física, personal o social protegida por las leyes”. + +Show more ","
+ + + + + +
+
+

¿Quieres formar parte de una consolidada empresa en el sector del Ocio y Entretenimiento donde se trabaja siempre con las últimas tecnologías y que te de libertad de gestión?


¡Actualmente buscamos un/a Data Scientist para nuestras oficinas ubicadas en Sant Cugat!


¿Qué podemos ofrecerte?


⌚Flexibilidad horaria.

🤝 Bonus referral por referenciar a una persona que cumpla con el perfil que buscamos. ¡Tu recomendación es garantía extra de calidad!

💳 Paquete de retribución flexible con beneficios en tributación (tarjeta restaurante, seguro médico, bono transporte, formación o guardería)

📚 Formación continua con un amplio catálogo de cursos a tu alcance

✅ Programa de Becas CIRSA para formarte en lo que quieras

🌱 Empresa comprometida socialmente a través de la ESG

🧘‍♀️ Programas de wellbeing: risoterapia, alimentación saludable, yoga …

🚴 Clubes deportivos CIRSA: running club, bike club y pádel club dónde podrás competir en torneos internos y contra otras empresas.


¿Qué harás en la posición?


  • Utilizarás técnicas estadísticas avanzadas para analizar grandes conjuntos de datos y extraer patrones significativos.
  • Identificarás oportunidades y desafíos a través de la exploración y análisis de datos.
  • Desarrollarás modelos predictivos y prescriptivos para mejorar la toma de decisiones.
  • Evaluarás y mejorarás continuamente el rendimiento de los modelos existentes.
  • Aplicarás algoritmos de aprendizaje automático para resolver problemas empresariales.
  • Colaborarás con otros equipos para implementar soluciones basadas en modelos de machine learning.
  • Crearás visualizaciones efectivas para comunicar resultados y tendencias a diferentes audiencias.
  • Desarrollarás cuadros de mando interactivos para facilitar la toma de decisiones.
  • Trabajarás estrechamente con equipos de negocio y tecnología para entender los requisitos y objetivos.
  • Colaborarás en la definición de arquitecturas de datos eficientes y escalables.


¿Qué te hará triunfar?


  • Título universitario en Ciencias de la Computación, Estadísticas, Matemáticas, Ingeniería u otro campo relacionado.
  • Muy valorable tener formación en Data Science.
  • Habilidades sólidas en visualización de datos utilizando herramientas como Tableau, Power BI, etc.
  • Experiencia práctica con herramientas y bibliotecas de machine learning.
  • Conocimiento de lenguajes de programación como Python o R.
  • Experiencia comprobada en proyectos de análisis de datos y modelado predictivo.
  • Comprensión de los principios de la ética en el manejo de datos y la privacidad.
  • Excelentes habilidades de comunicación y capacidad para trabajar en equipo.
  • Trabajarás estrechamente con equipos de negocio y tecnología para entender los requisitos y objetivos.


Si eres una persona apasionada de tu trabajo y quieres seguir desarrollando tu carrera profesional ¡Inscríbete!


“CIRSA es una compañía implicada con la Igualdad de Oportunidades. Por ello, nos responsabilizamos para que nuestros procesos de selección se lleven a cabo en igualdad de condiciones y sin discriminaciones por razón de nacimiento, edad, raza, sexo, orientación sexual, religión, estatus marital, opinión o cualquier otra condición física, personal o social protegida por las leyes”.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3987675756,https://ee.linkedin.com/jobs/view/senior-data-scientist-sanctions-screening-at-wise-3987675756?position=40&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=dqGcFIdSmmQ%2FZDgY50tOLw%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist - Sanctions Screening,Wise,"Tallinn, Harjumaa, Estonia","Company Description + +Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. + +Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money. + +As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. + +More about our mission. + +Job Description + +We’re looking for a Senior Data Scientist to join our growing Sanctions Screening Team in Tallinn. + +This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. + +About The Role + +Our screening team is responsible for sanctions, PEPs (Politically Exposed Persons) and Adverse Media screening. + +The screening team has a name matching service that is routinely tested against an internal benchmarking suite, and annually against external benchmarking suites. + +We are looking for someone to own the testing, tuning and optimisation of these matching algorithms. The candidate will own this function - be responsible for the overall testing and tuning strategy, deep dive testing results, understanding how to optimise rules for efficiency and effectiveness and create rules for complex controls. + +Here’s How You’ll Be Contributing + + +Automatising algorithm testing on real customer data as well as synthetic data. Packaging the service into a library or deploying it to staging or production environments +Benchmark testing +Analyse results from exact name matching and fuzzy name matching against internal and external benchmarks +Identify and categorise types of missed cases and map those to known or new issues +Propose technical solutions to reduce the number of missed cases identified +Benchmark creation +Design an internal test set to evaluate both the precision and recall of the screening engine +Align performance on the test set with real-life production performance +Extend internal benchmarking to new scenarios for better coverage of screening algorithms +Define an overall strategy for testing and tuning +Evaluate the use of an internal benchmarking tool +Evaluate testing capabilities of external vendors in the market to define the most effective method of continuous external benchmarking, processes of governance +Tailor business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies and work with product managers, compliance and engineers to ensure roadmap alignment +Rule optimisation +Tweaking engine configuration to find the sweet spot for precision and recall. +Provide answers on how many historical true positives we would miss based on different optimisations +Work on advanced rules for complicated controls, such as vessel screening +Uncover and action on opportunities to help the Screening operational team scale +Automatising or creating solutions to assist operations in their work +Modify existing tooling introducing LLM assistants to improve the efficiency of agents and speed of case resolution + +A Bit About You + + +Experience implementing, testing and evaluating performance of multiple rules across systems; +Strong Python knowledge. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services; +Strong algorithmic design and testing skills. A big plus for proven experience with name matching algorithms; +Experience with statistical analysis and good presentation skills to drive insight into action; +A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; +Good communication skills and ability to get the point across to non-technical individuals; +Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. + + +Some Extra Skills That Are Great (but Not Essential) + + +Familiarity with automating operational processes through technical solution, for example Large Language Models; +Knowledge of Sanctions and Name Screening Optimisation and Tuning +Experience working in a heavily regulated business domain. + + +Additional Information + +For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. + +We're proud to have a truly international team, and we celebrate our differences. + +Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. + +If you want to find out more about what it's like to work at Wise visit Wise.Jobs. + +Keep up to date with life at Wise by following us on LinkedIn and Instagram. + + +Show more ","
+ + + + + +
+
+ Company Description

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their life easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.

More about our mission.

Job Description

We’re looking for a Senior Data Scientist to join our growing Sanctions Screening Team in Tallinn.

This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers.

About The Role

Our screening team is responsible for sanctions, PEPs (Politically Exposed Persons) and Adverse Media screening.

The screening team has a name matching service that is routinely tested against an internal benchmarking suite, and annually against external benchmarking suites.

We are looking for someone to own the testing, tuning and optimisation of these matching algorithms. The candidate will own this function - be responsible for the overall testing and tuning strategy, deep dive testing results, understanding how to optimise rules for efficiency and effectiveness and create rules for complex controls.

Here’s How You’ll Be Contributing

  • Automatising algorithm testing on real customer data as well as synthetic data. Packaging the service into a library or deploying it to staging or production environments
  • Benchmark testing
    • Analyse results from exact name matching and fuzzy name matching against internal and external benchmarks
    • Identify and categorise types of missed cases and map those to known or new issues
    • Propose technical solutions to reduce the number of missed cases identified
  • Benchmark creation
    • Design an internal test set to evaluate both the precision and recall of the screening engine
    • Align performance on the test set with real-life production performance
    • Extend internal benchmarking to new scenarios for better coverage of screening algorithms
  • Define an overall strategy for testing and tuning
    • Evaluate the use of an internal benchmarking tool
    • Evaluate testing capabilities of external vendors in the market to define the most effective method of continuous external benchmarking, processes of governance
    • Tailor business rules to reduce hit rate, prepare tuning data, reviewing hit reduction strategies and work with product managers, compliance and engineers to ensure roadmap alignment
  • Rule optimisation
    • Tweaking engine configuration to find the sweet spot for precision and recall.
    • Provide answers on how many historical true positives we would miss based on different optimisations
    • Work on advanced rules for complicated controls, such as vessel screening
  • Uncover and action on opportunities to help the Screening operational team scale
    • Automatising or creating solutions to assist operations in their work
    • Modify existing tooling introducing LLM assistants to improve the efficiency of agents and speed of case resolution
A Bit About You

  • Experience implementing, testing and evaluating performance of multiple rules across systems;
  • Strong Python knowledge. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services;
  • Strong algorithmic design and testing skills. A big plus for proven experience with name matching algorithms;
  • Experience with statistical analysis and good presentation skills to drive insight into action;
  • A strong product mindset with the ability to work independently in a cross-functional and cross-team environment;
  • Good communication skills and ability to get the point across to non-technical individuals;
  • Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.

Some Extra Skills That Are Great (but Not Essential)

  • Familiarity with automating operational processes through technical solution, for example Large Language Models;
  • Knowledge of Sanctions and Name Screening Optimisation and Tuning
  • Experience working in a heavily regulated business domain.

Additional Information

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.

Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-31,[] +3977770236,https://mt.linkedin.com/jobs/view/data-scientist-at-ancient-gaming-3977770236?position=42&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=3HnGdutPo8ImwDfB84mOoA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Ancient Gaming,Malta,"🌟 Allow us to introduce ourselves: + +Ancient Gaming, an innovative software creator for the future of iGaming, bucks the trend that has lacked innovation for two decades. We're not trend followers; we're trendsetters. As iGaming pioneers, we challenge the status quo, crafting not just appealing software but a whole new experience for the innovative, high-spending generation seeking to reinvent gaming interactions. + +Founded in 2018 in Malta, we've become a global presence with 100+ dedicated team members spanning across 30+ countries. And yes, we're proudly remote-first! + + + + +🚀 Your mission as a Data Scientist! + +As a Data Scientist, you will play a pivotal role in leveraging data to drive business insights, optimize player experiences, and shape the future of iGaming. You will work closely with cross-functional teams, including product development, marketing, and customer support, to analyze large datasets and provide actionable recommendations. Your work will directly impact our strategic decisions and contribute to our continued growth and success. + + + + +You will be working on: + +CSGORoll: the world’s #1 skin gaming site. A community social gaming platform targeted towards CS2 players, featuring unique in-house custom-built games such as Roulette, Crash, Unboxing, and PVP. + + + + +What you’ll be doing: + +Analyzing and interpreting complex datasets to extract actionable insights and trends. +Developing and implementing data models, algorithms, and statistical techniques to solve business problems and improve player engagement. +Collaborating with product and marketing teams to identify data-driven opportunities and strategies. +Designing and conducting A/B tests to evaluate the impact of new features and changes. +Creating data visualizations and dashboards to communicate findings to stakeholders. +Stay up-to-date with the latest industry trends and advancements in data science and machine learning. + + + + +You will thrive in this role if you have: + +Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. +At least 4 years of experience in a data science role within the Gaming/iGaming industry. +Proficiency in programming languages such as Python, R, or SQL. +Strong experience with data visualization tools (e.g., Tableau, Power BI). +Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch). +Excellent analytical and problem-solving skills. +Ability to communicate complex data findings in a clear and concise manner. + + + + +What’s in it for you? + +Flexibility Policy – It's about giving you the freedom to structure your workday in a way that best suits your lifestyle and responsibilities outside of work +Work-from-anywhere Policy – you have the chance to work from anywhere in the world, we are a remote-first company and we are proud of it! +Every year for our team-building we choose a location and go there to celebrate our achievements together +A dedicated budget to purchase all the equipment you need to set up your home office +L&D budget for you to develop your skills! +Spill Mental Health Service – full access to counseling for any employees who need it +Innovative, fun, flat structured rapidly growing company with endless opportunities to grow + + + + +This post not only outlines our ideal candidate but also serves as an inspiration for what this role can evolve into. Even if you consider yourself an 80% fit but have a genuine passion for this position, we encourage you to apply. We're eager to hear from individuals who share our enthusiasm. Ancient Gaming is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. + +Show more ","
+ + + + + +
+
+

🌟 Allow us to introduce ourselves:

Ancient Gaming, an innovative software creator for the future of iGaming, bucks the trend that has lacked innovation for two decades. We're not trend followers; we're trendsetters. As iGaming pioneers, we challenge the status quo, crafting not just appealing software but a whole new experience for the innovative, high-spending generation seeking to reinvent gaming interactions.

Founded in 2018 in Malta, we've become a global presence with 100+ dedicated team members spanning across 30+ countries. And yes, we're proudly remote-first!


🚀 Your mission as a Data Scientist!

As a Data Scientist, you will play a pivotal role in leveraging data to drive business insights, optimize player experiences, and shape the future of iGaming. You will work closely with cross-functional teams, including product development, marketing, and customer support, to analyze large datasets and provide actionable recommendations. Your work will directly impact our strategic decisions and contribute to our continued growth and success.


You will be working on:

  • CSGORoll: the world’s #1 skin gaming site. A community social gaming platform targeted towards CS2 players, featuring unique in-house custom-built games such as Roulette, Crash, Unboxing, and PVP.


What you’ll be doing:

  • Analyzing and interpreting complex datasets to extract actionable insights and trends.
  • Developing and implementing data models, algorithms, and statistical techniques to solve business problems and improve player engagement.
  • Collaborating with product and marketing teams to identify data-driven opportunities and strategies.
  • Designing and conducting A/B tests to evaluate the impact of new features and changes.
  • Creating data visualizations and dashboards to communicate findings to stakeholders.
  • Stay up-to-date with the latest industry trends and advancements in data science and machine learning.


You will thrive in this role if you have:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • At least 4 years of experience in a data science role within the Gaming/iGaming industry.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Strong experience with data visualization tools (e.g., Tableau, Power BI).
  • Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Excellent analytical and problem-solving skills.
  • Ability to communicate complex data findings in a clear and concise manner.


What’s in it for you?

  • Flexibility Policy – It's about giving you the freedom to structure your workday in a way that best suits your lifestyle and responsibilities outside of work
  • Work-from-anywhere Policy – you have the chance to work from anywhere in the world, we are a remote-first company and we are proud of it!
  • Every year for our team-building we choose a location and go there to celebrate our achievements together
  • A dedicated budget to purchase all the equipment you need to set up your home office
  • L&D budget for you to develop your skills!
  • Spill Mental Health Service – full access to counseling for any employees who need it
  • Innovative, fun, flat structured rapidly growing company with endless opportunities to grow


This post not only outlines our ideal candidate but also serves as an inspiration for what this role can evolve into. Even if you consider yourself an 80% fit but have a genuine passion for this position, we encourage you to apply. We're eager to hear from individuals who share our enthusiasm. Ancient Gaming is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-19,[] +3981615607,https://lt.linkedin.com/jobs/view/data-analyst-scientist-at-infuse-3981615607?position=46&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=YFf56I0P9jima3sZumCXUw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Analyst/Scientist,INFUSE,"Vilnius, Vilniaus, Lithuania","OUR HIRING PROCESS: + + +We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. +We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. +At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. +From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. After all, we consider our team members our family, and we want you to feel comfortable and welcomed. + + +We are seeking a highly skilled and motivated Data Analyst/Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, with a keen ability to translate data insights into actionable business strategies. + +Key Responsibilities: + + +Develop and implement AI/ML models and algorithms, particularly focusing on LLM. +Managing the entire data lifecycle, from data collection and cleaning to model training, deployment, and inference. +Be proficient in utilizing various data engineering tools and frameworks to ensure seamless data flow and possess the ability to build, train, and deploy machine learning models in production environments. +Analyze complex datasets using strong analytical skills to identify trends, patterns, and actionable insights. +Conduct a thorough evaluation of AI and machine learning tools and strategically adopt those that have the potential to improve key business processes significantly. +Collaborate on defining and implementing KPIs to measure business success based on insights derived from machine learning models and data analysis. +Ensure data quality by cleaning and validating results data for accuracy. +Analyze current data structures, tagging, and quality standards. Recommend improvements and identify and address data anomalies. + + +Qualifications: + + +Master's degree in statistics, mathematics, economics, financial engineering, or a similar field. +Minimum of 3 years of proven experience as a Data Analyst or Business Data Analyst. +E2E data flow, model training/deployment and inference expertise +Expertise in developing and deploying AI/ML models using Python libraries, including pre-processing, analysis, model selection, and performance evaluation. +Demonstrated experience with Generative AI, feature repository development for AI/ML models, LLM embeddings and fine-tuningon custom datasets for specific use cases. +Strong analytical skills for data manipulation, cleaning, and insightful reporting with meticulous attention to detail and accuracy. +Strong proficiency in SQL and experience working with relational databases. +Experience in business analysis and design, data modeling (including planning, requirement gathering, and documentation). +Technical expertise in data models, database design development, data mining, and segmentation techniques. +Excellent problem-solving skills with the ability to think critically and provide innovative solutions. +Exceptional communication skills to effectively present findings and recommendations. + + +We offer: + + +Competitive compensation, which will take into account the experience and skills of the candidate. Form of payment - monthly, based on Invoice - Bank transfer/Payoneer +Remote, Work schedule: 5/2 (8-hour working day) from 13:00 to 22:00 EEST (incl. 60-min breaks, Flexible schedule is possible) +Interesting and long-term project +We support work-life balance and offer paid annual leave and paid sick days +Shorter Fridays (6 working hours) in Summertime. +Opportunities for professional development and career growth + + +Our recruitment process: + + +Interview with HR + one-way video interview +Test tasks +Technical interview with Team +Final interview with the Technical director +Show more ","
+ + + + + +
+
+ OUR HIRING PROCESS:

  • We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
  • We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
  • At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
  • From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. After all, we consider our team members our family, and we want you to feel comfortable and welcomed.

We are seeking a highly skilled and motivated Data Analyst/Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, with a keen ability to translate data insights into actionable business strategies.

Key Responsibilities:

  • Develop and implement AI/ML models and algorithms, particularly focusing on LLM.
  • Managing the entire data lifecycle, from data collection and cleaning to model training, deployment, and inference.
  • Be proficient in utilizing various data engineering tools and frameworks to ensure seamless data flow and possess the ability to build, train, and deploy machine learning models in production environments.
  • Analyze complex datasets using strong analytical skills to identify trends, patterns, and actionable insights.
  • Conduct a thorough evaluation of AI and machine learning tools and strategically adopt those that have the potential to improve key business processes significantly.
  • Collaborate on defining and implementing KPIs to measure business success based on insights derived from machine learning models and data analysis.
  • Ensure data quality by cleaning and validating results data for accuracy.
  • Analyze current data structures, tagging, and quality standards. Recommend improvements and identify and address data anomalies.

Qualifications:

  • Master's degree in statistics, mathematics, economics, financial engineering, or a similar field.
  • Minimum of 3 years of proven experience as a Data Analyst or Business Data Analyst.
  • E2E data flow, model training/deployment and inference expertise
  • Expertise in developing and deploying AI/ML models using Python libraries, including pre-processing, analysis, model selection, and performance evaluation.
  • Demonstrated experience with Generative AI, feature repository development for AI/ML models, LLM embeddings and fine-tuningon custom datasets for specific use cases.
  • Strong analytical skills for data manipulation, cleaning, and insightful reporting with meticulous attention to detail and accuracy.
  • Strong proficiency in SQL and experience working with relational databases.
  • Experience in business analysis and design, data modeling (including planning, requirement gathering, and documentation).
  • Technical expertise in data models, database design development, data mining, and segmentation techniques.
  • Excellent problem-solving skills with the ability to think critically and provide innovative solutions.
  • Exceptional communication skills to effectively present findings and recommendations.

We offer:

  • Competitive compensation, which will take into account the experience and skills of the candidate. Form of payment - monthly, based on Invoice - Bank transfer/Payoneer
  • Remote, Work schedule: 5/2 (8-hour working day) from 13:00 to 22:00 EEST (incl. 60-min breaks, Flexible schedule is possible)
  • Interesting and long-term project
  • We support work-life balance and offer paid annual leave and paid sick days
  • Shorter Fridays (6 working hours) in Summertime.
  • Opportunities for professional development and career growth

Our recruitment process:

  • Interview with HR + one-way video interview
  • Test tasks
  • Technical interview with Team
  • Final interview with the Technical director
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",2024-07-23,[] +3986494289,https://pt.linkedin.com/jobs/view/data-scientist-at-neotalent-conclusion-3986494289?position=47&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=KXV5KqD%2BlY3VkXdO1ROZIA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Neotalent Conclusion,"Lisbon, Portugal","Who are we: + + + + +Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems. + +We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers. + +With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates. + +Neotalent, the responsive people. + + + + +Find out more about us at www.neotalent.pt. + + + + +Role Overview: + + + + +We are looking for a Data Scientist to integrate one of our largest international partners in the telecommunications sector. It is one of the biggest references in the area, with a significant presence in more than 6 countries. + + + + +What you will do: + + + + +As a Data Scientist, you will collect, interpret, and publish data that will help to make business decisions in a specific time frame to determine how successful those decisions can be. + + + + +What you are like: + + + + +• Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science); + +• 2+ years experience as a Data Scientist or in a role closely related to data (e.g. Analytics); + +• 2+ years of scripting with one of these languages (PHP, R, PYTHON); + +• Experience with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr, ggplot2. + + + + + + + +Why join us: + + + + +• Work on challenging projects for big clients + +• Learn more about emerging technologies + +• Possibility of working remotely + +• Design your career plan + +• Access to continuous training and certifications + +• Evolve through our internal mobility program + +• … and much more! + +Show more ","
+ + + + + +
+
+

Who are we:


Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.


Find out more about us at www.neotalent.pt.


Role Overview:


We are looking for a Data Scientist to integrate one of our largest international partners in the telecommunications sector. It is one of the biggest references in the area, with a significant presence in more than 6 countries.


What you will do:


As a Data Scientist, you will collect, interpret, and publish data that will help to make business decisions in a specific time frame to determine how successful those decisions can be.


What you are like:


• Degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);

• 2+ years experience as a Data Scientist or in a role closely related to data (e.g. Analytics);

• 2+ years of scripting with one of these languages (PHP, R, PYTHON);

• Experience with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr, ggplot2.



Why join us:


• Work on challenging projects for big clients

• Learn more about emerging technologies

• Possibility of working remotely

• Design your career plan

• Access to continuous training and certifications

• Evolve through our internal mobility program

• … and much more!

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",2024-07-31,[] +3995916826,https://ie.linkedin.com/jobs/view/data-scientist-i-r-227719-at-mastercard-3995916826?position=51&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=DuEsz4q54NjxyxPlxTYwAg%3D%3D&trk=public_jobs_jserp-result_search-card,Data scientist I-R-227719,Mastercard,"Dublin, County Dublin, Ireland","Our Purpose + +We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. + +Title And Summary + +Data scientist I + +Who is Mastercard? + +Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. + +Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. + +Overview + +Are you an experienced data scientist with a passion for technological innovation, have a can-do attitude and strong sense of ownership? The Small and Medium Enterprise (SME) platform is the perfect opportunity for you to assist in the design & development of a world-class unified platform, enabling Small and Medium Enterprises globally. + +The SME team is looking for a junior data scientist to work in development of machine learning models and business intelligence projects. You will also work closely with cross-functional teams, including data engineers, data analysts, and software engineers, to drive data-driven decision making throughout the organization. + +Key Responsibilities + + +Aggregates and collates client data sets and conducts data manipulation and technical analysis leveraging industry techniques and best practices to identify trends and draw insights +Cleans and structures data sets fed to downstream analytics +Assists with the development and validation of dashboards and reports for client/ stakeholder projects +Escalates technical errors or bugs detected in project work +Assists with ad hoc work as delegated by senior level colleagues + + + +All About You + + +Highly motivated and detail-oriented individual with a passion for data analysis and problem-solving. +Skilled in aggregating and collating client data sets, conducting thorough data manipulation and technical analysis using industry-standard techniques and best practices. +Experienced in assisting with the development and validation of dashboards and reports for client and stakeholder projects. +Proactive attitude with a willingness to assist with ad hoc tasks as delegated by senior colleagues. + + + +Corporate Security Responsibility + +Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security. All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And Therefore, It Is Expected That The Successful Candidate For This Position Must: + + +Abide by Mastercard’s security policies and practices; +Ensure the confidentiality and integrity of the information being accessed; +Report any suspected information security violation or breach, and +Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. + + + +Corporate Security Responsibility + +All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: + + +Abide by Mastercard’s security policies and practices; +Ensure the confidentiality and integrity of the information being accessed; +Report any suspected information security violation or breach, and +Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. + + + +R-227719 +Show more ","
+ + + + + +
+
+ Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title And Summary

Data scientist I

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

Are you an experienced data scientist with a passion for technological innovation, have a can-do attitude and strong sense of ownership? The Small and Medium Enterprise (SME) platform is the perfect opportunity for you to assist in the design & development of a world-class unified platform, enabling Small and Medium Enterprises globally.

The SME team is looking for a junior data scientist to work in development of machine learning models and business intelligence projects. You will also work closely with cross-functional teams, including data engineers, data analysts, and software engineers, to drive data-driven decision making throughout the organization.

Key Responsibilities

  • Aggregates and collates client data sets and conducts data manipulation and technical analysis leveraging industry techniques and best practices to identify trends and draw insights
  • Cleans and structures data sets fed to downstream analytics
  • Assists with the development and validation of dashboards and reports for client/ stakeholder projects
  • Escalates technical errors or bugs detected in project work
  • Assists with ad hoc work as delegated by senior level colleagues


All About You

  • Highly motivated and detail-oriented individual with a passion for data analysis and problem-solving.
  • Skilled in aggregating and collating client data sets, conducting thorough data manipulation and technical analysis using industry-standard techniques and best practices.
  • Experienced in assisting with the development and validation of dashboards and reports for client and stakeholder projects.
  • Proactive attitude with a willingness to assist with ad hoc tasks as delegated by senior colleagues.


Corporate Security Responsibility

Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security. All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And Therefore, It Is Expected That The Successful Candidate For This Position Must:

  • Abide by Mastercard’s security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.


Corporate Security Responsibility

All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must:

  • Abide by Mastercard’s security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.


R-227719 +
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+ +
",2024-08-08,[] +3991680071,https://es.linkedin.com/jobs/view/data-scientist-at-kbc-technologies-group-3991680071?position=53&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=tYRovNqjEli7tMrDHErl7w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,KBC Technologies Group,"Barcelona, Catalonia, Spain","Job Title: Data Scientist + + + + +Location: + +First preference-Barcelona + + + + +Job Description: + +As a Data Scientist with a Ph.D., this role will be multifaceted, involving advanced data analysis, statistical modeling, and algorithm development. Person will be responsible for deriving insights from complex datasets, guiding decision-making processes, and driving innovation within the organization. + + + + +Responsibilities: + + + + +Data Analysis and Exploration: + +Utilize advanced statistical techniques to analyze large datasets and extract actionable insights. + +Develop algorithms and models to identify patterns, trends, and correlations within the data. + +Statistical Modeling: + +Design and implement predictive models using machine learning algorithms such as regression, classification, clustering, and time series analysis. + +Validate models for accuracy, reliability, and robustness. + +Algorithm Development: + +Develop and optimize algorithms for data mining, feature extraction, and anomaly detection. + +Collaborate with cross-functional teams to deploy algorithms into production systems. + +Research and Development: + +Stay abreast of the latest advancements in data science, machine learning, and related fields. + +Conduct research to explore novel approaches and techniques for solving complex data-related problems. + +Data Visualization and Communication: + +Present findings and insights to stakeholders using compelling data visualizations, reports, and presentations. + +Collaborate with business teams to translate analytical findings into actionable recommendations. + +Data Governance and Ethics: + +Ensure compliance with data governance policies and regulations. + +Uphold ethical standards in data collection, analysis, and usage. + + + + +Qualifications: + + + + +Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field. + +Strong background in statistical analysis, machine learning, and data mining techniques. + +Proficiency in programming languages such as Python, R, or Julia. + +Experience with data manipulation and visualization tools like SQL, Pandas, Matplotlib, and Tableau. + +Ability to work with large-scale datasets and distributed computing frameworks such as Hadoop, Spark, or Dask. + +Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. + +Strong problem-solving skills and a passion for tackling real-world challenges using data-driven approaches. + + + + +Additional Preferred Skills: + +Experience with deep learning frameworks such as TensorFlow or PyTorch. + +Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. + +Familiarity with big data technologies such as Kafka, Hive, or Cassandra. + +Experience in specific domain areas such as healthcare, finance, e-commerce, or telecommunications. + +Show more ","
+ + + + + +
+
+

Job Title: Data Scientist


Location:

First preference-Barcelona


Job Description:

As a Data Scientist with a Ph.D., this role will be multifaceted, involving advanced data analysis, statistical modeling, and algorithm development. Person will be responsible for deriving insights from complex datasets, guiding decision-making processes, and driving innovation within the organization.


Responsibilities:


Data Analysis and Exploration:

Utilize advanced statistical techniques to analyze large datasets and extract actionable insights.

Develop algorithms and models to identify patterns, trends, and correlations within the data.

Statistical Modeling:

Design and implement predictive models using machine learning algorithms such as regression, classification, clustering, and time series analysis.

Validate models for accuracy, reliability, and robustness.

Algorithm Development:

Develop and optimize algorithms for data mining, feature extraction, and anomaly detection.

Collaborate with cross-functional teams to deploy algorithms into production systems.

Research and Development:

Stay abreast of the latest advancements in data science, machine learning, and related fields.

Conduct research to explore novel approaches and techniques for solving complex data-related problems.

Data Visualization and Communication:

Present findings and insights to stakeholders using compelling data visualizations, reports, and presentations.

Collaborate with business teams to translate analytical findings into actionable recommendations.

Data Governance and Ethics:

Ensure compliance with data governance policies and regulations.

Uphold ethical standards in data collection, analysis, and usage.


Qualifications:


Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field.

Strong background in statistical analysis, machine learning, and data mining techniques.

Proficiency in programming languages such as Python, R, or Julia.

Experience with data manipulation and visualization tools like SQL, Pandas, Matplotlib, and Tableau.

Ability to work with large-scale datasets and distributed computing frameworks such as Hadoop, Spark, or Dask.

Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Strong problem-solving skills and a passion for tackling real-world challenges using data-driven approaches.


Additional Preferred Skills:

Experience with deep learning frameworks such as TensorFlow or PyTorch.

Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

Familiarity with big data technologies such as Kafka, Hive, or Cassandra.

Experience in specific domain areas such as healthcare, finance, e-commerce, or telecommunications.

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",2024-08-05,[] +3984354920,https://pt.linkedin.com/jobs/view/data-scientist-at-ytech-3984354920?position=56&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=FGJAhLHmfrD4jkD%2FG8rp5w%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Ytech,Portugal,"YTech is a 100% Portuguese technological startup with a presence in the area of IT and Telecom offering solutions in Consultancy, Nearshore, and Turnkey Projects. Created in 2020, it has over 80 employees. We work side by side with our partners, relying on the most solid professionals in the technological area. + +💻 Data Scientist💻 + +Forecasting/prediction +Agile experience +Databricks +Python +Notebooks +GIT + +🚀 Our vision is to innovate and reinvent through technology services promoting the success of businesses and people + +🚀 Our mission is to connect clients with outstanding experts and specialists to make businesses thrive + +🚀 Our culture is focused on people and their well-being, allows talent retention, and promotes a strong cultural footprint + +Join Ytech team by sending your CV to 📩jproenca@ytech.io + +Show more ","
+ + + + + +
+
+

YTech is a 100% Portuguese technological startup with a presence in the area of IT and Telecom offering solutions in Consultancy, Nearshore, and Turnkey Projects. Created in 2020, it has over 80 employees. We work side by side with our partners, relying on the most solid professionals in the technological area.

💻 Data Scientist💻

  • Forecasting/prediction
  • Agile experience
  • Databricks
  • Python
  • Notebooks
  • GIT

🚀 Our vision is to innovate and reinvent through technology services promoting the success of businesses and people

🚀 Our mission is to connect clients with outstanding experts and specialists to make businesses thrive

🚀 Our culture is focused on people and their well-being, allows talent retention, and promotes a strong cultural footprint

Join Ytech team by sending your CV to 📩jproenca@ytech.io

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",2024-07-25,[] +3988579276,https://de.linkedin.com/jobs/view/data-scientist-at-few-far-3988579276?position=58&pageNum=0&refId=zeCEqwfZYH9h4ES2KMJD6w%3D%3D&trackingId=AVkWJzfkoSiHjGWp5cciyg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Few&Far,"Munich, Bavaria, Germany","**The client can also offer sponsorship and relocation packages! + + + + +***Please note this role is based in Munich with 2 days in the office! + + + + +Few&Far are partnered with one of the fastest-growing travel tech companies in Europe. They recently secured €100 million funding round allowing them to improve all of their services and achieve their next milestones. + +Responsibilities + + + + +Analyze raw data: assessing quality, cleansing, structuring for downstream processing +Design accurate and scalable prediction algorithms +Collaborate with engineering team to bring analytical prototypes to production +Generate actionable insights for business improvements + + + + +Qualifications + + + + +Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) +At least 1 - 2 years' of experience in quantitative analytics or data modeling +Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms +Fluency in a programming language (Python, C,C++, Java, SQL) +Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) + +Show more ","
+ + + + + +
+
+

**The client can also offer sponsorship and relocation packages!


***Please note this role is based in Munich with 2 days in the office!


Few&Far are partnered with one of the fastest-growing travel tech companies in Europe. They recently secured €100 million funding round allowing them to improve all of their services and achieve their next milestones.

Responsibilities


  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  • Design accurate and scalable prediction algorithms
  • Collaborate with engineering team to bring analytical prototypes to production
  • Generate actionable insights for business improvements


Qualifications


  • Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
  • At least 1 - 2 years' of experience in quantitative analytics or data modeling
  • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
  • Fluency in a programming language (Python, C,C++, Java, SQL)
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

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",2024-07-31,[] +3981335916,https://www.linkedin.com/jobs/view/data-scientist-data-analyst-sales-marketing-at-lumafield-3981335916?position=2&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=bW6kPedBV1e2m0eHEAjImQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist/Data Analyst (Sales & Marketing),Lumafield,"Boston, MA","About Lumafield:  + +Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price.   + +Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries.  + +We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others.  + +The company is headquartered in Cambridge, MA and has an office in San Francisco, CA. + + + + +About the role:  + +We are looking for a data and business intelligence (BI) expert to help start our BI function. This role will focus on building out our business data infrastructure and provide valuable insights to internal stakeholders across the Go-to-Market (GTM) teams: Sales, Marketing, and Customer Success. + + + + +What you’ll do: +Develop and maintain databases, datasets, pipelines, and Business Intelligence solutions to enable standardized reporting and scalable analytics +The ETL process of getting data from our business systems (e.g. Hubspot, Outreach, Maxio, Netsuite, Voyager, etc) into our data warehouse (Databricks). We currently use Fivetran for this, but may need some custom processes later down the line. +Taking these raw data inputs (bronze tables) and creating useful core data tables (silver tables) for business reporting and analysis. The goal is for these data tables to effectively serve as the Single Source of Truth. +For data related to our internal systems (Voyager), this person will partner with the Software team +Once these silver tables are created reporting and analysis can be generated +Integrate and work with data from a variety of sources including but not limited to CRM data, Finance data, Marketing Data +Build centralized dashboards using Tableau for weekly/monthly/quarterly reporting to enable our executive stakeholders and other members of our GTM team to make decisions with a single source of truth analytics +Provide deep dive analyses as needed and other ad hoc requests. These analyses will impact long term planning and other strategic initiatives throughout the GTM organization +Develop and improve the current data architecture, data quality, monitoring, and data availability +By working with the data, you will be among the first to notice anomalies or gaps in the data, and will work with members of the relevant teams to fix any issues, and develop workflows and processes to ensure consistent data quality in the future +Manage access of users to the data warehouse and Tableau on an appropriate need-to-know basis +This person will help promote data literacy by creating learning resources and be a SME on all business data related topics in the company + + + + +About you: +4-6 years of working experience in analytical role working closely with a data engineer or the sources of data +Strong SQL and proficient Python knowledge +Experience with data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools +Experience with development lifecycle tools such as Github, etc. +Experience with data visualization tools and packages (e.g. Tableau, Power BI) +Experience working with modern data technologies stacks such as Databricks, Google Big Query, Redshift, RDS, Snowflake, or similar solutions +Comfortable in working cross functionally with business customers to gather requirements and gain a deep understanding of varied datasets +Self-starter and proactive problem solver with strong communication and project management skills + + + + +Bonus points for: +Familiarity with CRM data + + + + + + + +Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!  + +Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!   + +In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status.  + +Reach out if you want to be a part of what we are building. + +Show more ","
+ + + + + +
+
+

About Lumafield: 

Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price.  

Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. 

We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others. 

The company is headquartered in Cambridge, MA and has an office in San Francisco, CA.


About the role: 

We are looking for a data and business intelligence (BI) expert to help start our BI function. This role will focus on building out our business data infrastructure and provide valuable insights to internal stakeholders across the Go-to-Market (GTM) teams: Sales, Marketing, and Customer Success.


What you’ll do:
  • Develop and maintain databases, datasets, pipelines, and Business Intelligence solutions to enable standardized reporting and scalable analytics
  • The ETL process of getting data from our business systems (e.g. Hubspot, Outreach, Maxio, Netsuite, Voyager, etc) into our data warehouse (Databricks). We currently use Fivetran for this, but may need some custom processes later down the line.
  • Taking these raw data inputs (bronze tables) and creating useful core data tables (silver tables) for business reporting and analysis. The goal is for these data tables to effectively serve as the Single Source of Truth.
  • For data related to our internal systems (Voyager), this person will partner with the Software team
  • Once these silver tables are created reporting and analysis can be generated
  • Integrate and work with data from a variety of sources including but not limited to CRM data, Finance data, Marketing Data
  • Build centralized dashboards using Tableau for weekly/monthly/quarterly reporting to enable our executive stakeholders and other members of our GTM team to make decisions with a single source of truth analytics
  • Provide deep dive analyses as needed and other ad hoc requests. These analyses will impact long term planning and other strategic initiatives throughout the GTM organization
  • Develop and improve the current data architecture, data quality, monitoring, and data availability
  • By working with the data, you will be among the first to notice anomalies or gaps in the data, and will work with members of the relevant teams to fix any issues, and develop workflows and processes to ensure consistent data quality in the future
  • Manage access of users to the data warehouse and Tableau on an appropriate need-to-know basis
  • This person will help promote data literacy by creating learning resources and be a SME on all business data related topics in the company


About you:
  • 4-6 years of working experience in analytical role working closely with a data engineer or the sources of data
  • Strong SQL and proficient Python knowledge
  • Experience with data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
  • Experience with development lifecycle tools such as Github, etc.
  • Experience with data visualization tools and packages (e.g. Tableau, Power BI)
  • Experience working with modern data technologies stacks such as Databricks, Google Big Query, Redshift, RDS, Snowflake, or similar solutions
  • Comfortable in working cross functionally with business customers to gather requirements and gain a deep understanding of varied datasets
  • Self-starter and proactive problem solver with strong communication and project management skills


Bonus points for:
  • Familiarity with CRM data



Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! 

Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!  

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. 

Reach out if you want to be a part of what we are building.

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",2024-07-23,[] +3977644753,https://www.linkedin.com/jobs/view/data-scientist-at-boston-va-research-institute-inc-bvari-3977644753?position=4&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=rxLWbULClmczxYxH0XIwLQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,"Boston VA Research Institute, Inc. (BVARI)","Boston, MA","We are a Boston-based epidemiology and biomedical research organization. We are actively engaged in several clinical trials, pharmacoepidemiology, chronic disease epidemiology, genetic epidemiology, biostatistical and genomics research. Our research team oversees study data related activities and Quality improvement activities to improve the way translational research is conducted and clinical care is delivered. The multi-disciplinary center consists of a highly talented group of biomedical researchers, clinicians, epidemiologists, biostatisticians, data analysts/programmers, project coordinators, and informatics team with academic affiliations to Harvard Medical School and Boston University. We are looking for candidates with a service-oriented mentality, high sense of ownership of the assigned tasks and ability to solve problems presented by data. + + + + + + + +Project Background: + +Our research group has a full-time Data Scientist opening for individuals who love working with data and want to use their data science skills to help researchers conduct high-impact research that expands our understanding of human health and improves healthcare outcomes for Veterans. You will work with a strong, collegial, diverse, and talented team of computer scientists, statisticians, and clinicians at BVARI, the VA Boston Healthcare System, Harvard Medical School, and the Boston University School of Medicine. + + + + +Why should a data scientist work at a VA-associated research institute? The VA has the largest integrated medical records database in the United States, with comprehensive clinical information on over 22 million patients (2 trillion+ rows, 22,000+ columns of data), including large amounts of both structured and unstructured data. The VA also has large databases of genomic and imaging data. Working with our group offers the opportunity to execute high-impact projects with large-scale real-world healthcare data that is unavailable at most other institutions. + + + + +Essential Duties and Responsibilities: + + + + +Use advanced data analysis methods (from machine learning, artificial intelligence, applied statistics, etc.) to assist in building predictive models of healthcare outcomes from the largest integrated medical records database in the United States. +Extract, clean, and validate data in preparation for analysis, starting from raw data in a large relational database. +Carry out exploratory analysis and data visualization and summarize analysis results. +Collaborate with a range of researchers, including clinicians, computer scientists and statisticians to design and execute analyses. +Assist in developing improved data science methodology in relation to healthcare data. +Assist in publishing papers on our findings, systems, and methodology. + + + + +Qualifications and Entrance Requirements: + +Proficiency in programming with R and/or Python to carry out data analysis in large and complex datasets. +Experience working with relational databases using SQL or willingness to learn. +Ability to move projects forward independently with moderate support. +Ability to work effectively in multi-disciplinary teams. +Passion for advancing healthcare research through creative use of data. +Strong communication and collaborative research skills required. +Experience using version control and reproducible research (git, knitr, etc.) is preferred. +Experience with electronic medical record data or clinical databases preferred. + + + + +Please note we are unable to provide work authorization and/or visa sponsorship. + + + + +Work Environment + +This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. The employee must be a resident of Massachusetts upon start date. + + + + +Physical Demands + +The physical demands described in this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. + + + + +While performing the duties of this job, the employee frequently is required to stand; walk; use hands; and reach with hands and arms. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds. + + + + +Selective Service + +If you are male application born after December 31, 1959, you must certify that you have registered with the Selective Service System or are exempt from having to do so under the Selective Service Law. + + + + +Position Type/Expected Hours of Work + +This is a full-time exempt position, and hours of work and days are Monday through Friday, 8:30 a.m. to 5 p.m. + + + + +Travel + +No travel is expected for this position. + + + + +Work Authorization/Security Clearance + +An employee in this position must complete all appropriate background checks at the time of hire and periodic reappointment. + + + + +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. + + + + +About BVARI + +We are a highly supportive environment, where culture comes first, and we reward our employees with outstanding benefits and perks, including highly competitive benefits, flexible work arrangements, generous time off with annual cash-out options, retirement matching, and deeply discounted MBTA commuter passes to those who spend the preponderance of their time commuting to the office. + + + + +Equal Opportunity Employer + +Boston VA Research Institute, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absences, compensation and training. + +Show more ","
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+
+

We are a Boston-based epidemiology and biomedical research organization. We are actively engaged in several clinical trials, pharmacoepidemiology, chronic disease epidemiology, genetic epidemiology, biostatistical and genomics research. Our research team oversees study data related activities and Quality improvement activities to improve the way translational research is conducted and clinical care is delivered. The multi-disciplinary center consists of a highly talented group of biomedical researchers, clinicians, epidemiologists, biostatisticians, data analysts/programmers, project coordinators, and informatics team with academic affiliations to Harvard Medical School and Boston University. We are looking for candidates with a service-oriented mentality, high sense of ownership of the assigned tasks and ability to solve problems presented by data.



Project Background:

Our research group has a full-time Data Scientist opening for individuals who love working with data and want to use their data science skills to help researchers conduct high-impact research that expands our understanding of human health and improves healthcare outcomes for Veterans. You will work with a strong, collegial, diverse, and talented team of computer scientists, statisticians, and clinicians at BVARI, the VA Boston Healthcare System, Harvard Medical School, and the Boston University School of Medicine.


Why should a data scientist work at a VA-associated research institute? The VA has the largest integrated medical records database in the United States, with comprehensive clinical information on over 22 million patients (2 trillion+ rows, 22,000+ columns of data), including large amounts of both structured and unstructured data. The VA also has large databases of genomic and imaging data. Working with our group offers the opportunity to execute high-impact projects with large-scale real-world healthcare data that is unavailable at most other institutions.


Essential Duties and Responsibilities:


  • Use advanced data analysis methods (from machine learning, artificial intelligence, applied statistics, etc.) to assist in building predictive models of healthcare outcomes from the largest integrated medical records database in the United States.
  • Extract, clean, and validate data in preparation for analysis, starting from raw data in a large relational database.
  • Carry out exploratory analysis and data visualization and summarize analysis results.
  • Collaborate with a range of researchers, including clinicians, computer scientists and statisticians to design and execute analyses.
  • Assist in developing improved data science methodology in relation to healthcare data.
  • Assist in publishing papers on our findings, systems, and methodology.


Qualifications and Entrance Requirements:

  • Proficiency in programming with R and/or Python to carry out data analysis in large and complex datasets.
  • Experience working with relational databases using SQL or willingness to learn.
  • Ability to move projects forward independently with moderate support.
  • Ability to work effectively in multi-disciplinary teams.
  • Passion for advancing healthcare research through creative use of data.
  • Strong communication and collaborative research skills required.
  • Experience using version control and reproducible research (git, knitr, etc.) is preferred.
  • Experience with electronic medical record data or clinical databases preferred.


Please note we are unable to provide work authorization and/or visa sponsorship.


Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. The employee must be a resident of Massachusetts upon start date.


Physical Demands

The physical demands described in this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job.


While performing the duties of this job, the employee frequently is required to stand; walk; use hands; and reach with hands and arms. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.


Selective Service

If you are male application born after December 31, 1959, you must certify that you have registered with the Selective Service System or are exempt from having to do so under the Selective Service Law.


Position Type/Expected Hours of Work

This is a full-time exempt position, and hours of work and days are Monday through Friday, 8:30 a.m. to 5 p.m.


Travel

No travel is expected for this position.


Work Authorization/Security Clearance

An employee in this position must complete all appropriate background checks at the time of hire and periodic reappointment.


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.


About BVARI

We are a highly supportive environment, where culture comes first, and we reward our employees with outstanding benefits and perks, including highly competitive benefits, flexible work arrangements, generous time off with annual cash-out options, retirement matching, and deeply discounted MBTA commuter passes to those who spend the preponderance of their time commuting to the office.


Equal Opportunity Employer

Boston VA Research Institute, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absences, compensation and training.

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",2024-07-17,[] +3996640436,https://www.linkedin.com/jobs/view/scientist-i-ii-data-science-at-sail-biomedicines-3996640436?position=6&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=H1lk%2Bp68G5DTZvRyoZ54vA%3D%3D&trk=public_jobs_jserp-result_search-card,"Scientist I/II, Data Science",Sail Biomedicines,"Cambridge, MA","About Sail: + +Sail Biomedicines is harnessing evolutionary and artificial intelligence to revolutionize programmable medicines. Sail’s platform combines first-in-class programmable RNA technology (Endless RNATM or eRNA), and an industry-leading platform of programmable nanoparticles, utilizing natural components, to unlock comprehensive programming of medicines for the first time. By leveraging cutting-edge eRNA and nanoparticle deployment technology, Sail is building a wealth of data, enabling unparalleled use of AI techniques to identify and design fully programmable medicines that are potent, targeted, versatile, and tunable. Sail was founded by Flagship Pioneering. + +The Role: + +The Sail Biomedicines Data Science team is looking for a talented Data Scientist seeking an environment where they can make an impact. As a key member of the Sail Data Science Team, the Data Scientist (I/II) will work as part of a cross-disciplinary team of experimental, computational, and machine learning scientists and engineers to drive the development and extension of Sail’s AI-driven programmable medicine platform, thereby pushing a new class of RNA-medicines towards the clinic. + +Responsibilities: + + +Develop and Optimize Pipelines: Design, implement and maintain scalable computational pipelines for the processing and analysis of high throughput sequencing data (e.g. RNA-Seq, Amplicon-Seq, scRNA-Seq). +Quality First: Design and implement quality control measures to ensure the accuracy and reliability of sequencing data. Troubleshoot and resolve issues related to data integrity, quality, and pipeline performance. +Data Analysis: Conduct secondary data analysis leveraging statistical methods to interpret complex datasets, facilitate understanding (e.g. connection to experimental methodologies / biology), and drive strategic decisions. Own ensuring that collaborators understand the properties of the data, including highlighting limitations and opportunities for improvement. +Documentation: Clearly document pipeline workflows, analysis methods and results to enable reliable and reproducible computing strategies for standardized and interactive code. +Digital First: Facilitate the generation and capture of enterprise data in a structured manner. +Collaboration: Partner with a cross-disciplinary team to support the growth of our platform and the advancement of programs to the clinic. Excellent written and verbal communication skills with the ability to clearly communicate messages across diverse audiences. +Manage Timelines: Handle multiple projects, ensuring timely delivery of results. + + +Qualifications: + + +PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics, or a related field with experience in industry a plus +Proficiency in a relevant programming language (e.g. Python, R) and standard command line tools for NGS analysis. +Experience (2+ years) with version control systems (e.g. Git), reproducible computing (e.g. Docker), workflow management (e.g. Nextflow, Snakemake) and effectively leveraging resources from HPC/cloud computing platforms (e.g. AWS) +Demonstrated success leading computational efforts within a multidisciplinary team. +Experience with genomic and statistical data analysis. +An inquisitive approach to exploring and evaluating data for use in core informatic workflows. +Ability to communicate complex methodologies and analyses to audiences of varying technical levels / knowledge. Effectively operate within, and advocate for, a digital-first environment. +Experience working with additional ‘omics data (e.g. lipidomics, proteomics) is a plus. +Demonstrated ability to develop new methodologies and visualizations is a plus. + + +Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law. +Show more ","
+ + + + + +
+
+ About Sail:

Sail Biomedicines is harnessing evolutionary and artificial intelligence to revolutionize programmable medicines. Sail’s platform combines first-in-class programmable RNA technology (Endless RNATM or eRNA), and an industry-leading platform of programmable nanoparticles, utilizing natural components, to unlock comprehensive programming of medicines for the first time. By leveraging cutting-edge eRNA and nanoparticle deployment technology, Sail is building a wealth of data, enabling unparalleled use of AI techniques to identify and design fully programmable medicines that are potent, targeted, versatile, and tunable. Sail was founded by Flagship Pioneering.

The Role:

The Sail Biomedicines Data Science team is looking for a talented Data Scientist seeking an environment where they can make an impact. As a key member of the Sail Data Science Team, the Data Scientist (I/II) will work as part of a cross-disciplinary team of experimental, computational, and machine learning scientists and engineers to drive the development and extension of Sail’s AI-driven programmable medicine platform, thereby pushing a new class of RNA-medicines towards the clinic.

Responsibilities:

  • Develop and Optimize Pipelines: Design, implement and maintain scalable computational pipelines for the processing and analysis of high throughput sequencing data (e.g. RNA-Seq, Amplicon-Seq, scRNA-Seq).
  • Quality First: Design and implement quality control measures to ensure the accuracy and reliability of sequencing data. Troubleshoot and resolve issues related to data integrity, quality, and pipeline performance.
  • Data Analysis: Conduct secondary data analysis leveraging statistical methods to interpret complex datasets, facilitate understanding (e.g. connection to experimental methodologies / biology), and drive strategic decisions. Own ensuring that collaborators understand the properties of the data, including highlighting limitations and opportunities for improvement.
  • Documentation: Clearly document pipeline workflows, analysis methods and results to enable reliable and reproducible computing strategies for standardized and interactive code.
  • Digital First: Facilitate the generation and capture of enterprise data in a structured manner.
  • Collaboration: Partner with a cross-disciplinary team to support the growth of our platform and the advancement of programs to the clinic. Excellent written and verbal communication skills with the ability to clearly communicate messages across diverse audiences.
  • Manage Timelines: Handle multiple projects, ensuring timely delivery of results.

Qualifications:

  • PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics, or a related field with experience in industry a plus
  • Proficiency in a relevant programming language (e.g. Python, R) and standard command line tools for NGS analysis.
  • Experience (2+ years) with version control systems (e.g. Git), reproducible computing (e.g. Docker), workflow management (e.g. Nextflow, Snakemake) and effectively leveraging resources from HPC/cloud computing platforms (e.g. AWS)
  • Demonstrated success leading computational efforts within a multidisciplinary team.
  • Experience with genomic and statistical data analysis.
  • An inquisitive approach to exploring and evaluating data for use in core informatic workflows.
  • Ability to communicate complex methodologies and analyses to audiences of varying technical levels / knowledge. Effectively operate within, and advocate for, a digital-first environment.
  • Experience working with additional ‘omics data (e.g. lipidomics, proteomics) is a plus.
  • Demonstrated ability to develop new methodologies and visualizations is a plus.

Sail Biomedicines is an Equal Opportunity Employer. Sail does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, national origin, veteran status, or any other status protected under federal, state, or local law. +
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+ +
",2024-08-09,[] +3772471769,https://www.linkedin.com/jobs/view/scientist-i-machine-learning-at-generate-biomedicines-3772471769?position=7&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=5lyFc95JbhCa6HGN2vKzfg%3D%3D&trk=public_jobs_jserp-result_search-card,"Scientist I, Machine Learning",Generate:Biomedicines,"Somerville, MA","About Generate:Biomedicines + +Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology™ to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered. The Company has built a machine learning-powered biomedicines platform with the potential to generate new drugs across a wide range of biologic modalities. This platform represents a potentially fundamental shift in what is possible in the field of biotherapeutic development. + +We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! + +Generate:Biomedicines was founded in 2018 by Flagship Pioneering and has received nearly $700 million in funding, providing the resources to rapidly scale the organization. The Company has offices in Somerville and Andover, Massachusetts with over 300 employees. + +The Role: + +Generation of novel proteins through data-driven machine learning models is at the core of Generate:Biomedicine’s platform. We aim to upend the traditional approach to drug development towards one characterized by intentionality, surgical precision, and speed by developing methods for protein generation that can reliably generalize across biological functions, disease areas, and therapeutic modalities. + +We are seeking creative, motivated Machine Learning Scientists to develop and apply our core technologies for ML-powered protein generation. They will join a vibrant and growing machine learning group at the Company to develop innovative methods for protein generation and modeling, leveraging both in-house and external data to train and evaluate models while also deploying new algorithms into production on our experimental platform. The successful candidate will work closely with experimental scientists from Protein Sciences and Medicines groups to rapidly advance the scientific program. + +Here's How You Will Contribute: + + +Develop novel machine learning models and algorithms for data-driven generation of proteins, and hone them through deployment on our experimental platform. +Advance and evaluate the state of the art for machine learning models of protein sequence, structure, and function, including but not limited to protein sequence design, structure prediction, complex prediction, and function learning. +Use our integrated data platform to devise models able to leverage measured labels “in-the-loop”. +Work with Protein Sciences and Medicines groups to tailor modeling efforts toward high-impact therapeutic applications. +Develop production-quality code in a team setting and work with MLOps for deploying and training models at scale. +Present progress from scientific work in regular research meetings and prepare reports and slide decks for broader internal and external communication. + + +The Ideal Candidate Will Have: + + +PhD in Computational Biology, Computer Science, or a related field with demonstrated experience working on scientific applications +3+ years of experience with developing Machine Learning methods to solve scientific problems, with a particular interest towards applications to protein modeling as well as adjacent fields such as genomics, chemistry, immunology, or physics +Experience developing, debugging, and applying models using modern deep learning frameworks. +Proficiency in Python and experience analyzing data with Numpy/Scipy, R, or similar. + + +Nice to have: + + +Foundational knowledge around probabilistic machine learning and optimization methods +Practical experience developing deep generative models (e.g., autoregressive models, VAEs, Flows, GANs, EBMs etc.) +Publications in major ML conferences or scientific journals that apply ML to problems in molecular biology, structural biology, or genetics, especially at the intersection of machine learning and proteins. +Demonstrated experience developing software in a team setting. +Experience with optimizing performant code. + + +Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. + +COVID Safety: + +Generate:Biomedicines enforces a mandatory vaccination policy for COVID-19. All employees must be fully vaccinated and have received a booster. The purpose of this policy is to safeguard the health of our employees, their families, and the community at large from infectious disease that may be reduced by vaccinations. The Company will make exceptions to this policy if required by applicable law and will consider requests for an exemption from this policy due to a medical reason, or because of a sincerely held religious belief, or any other exemptions that may be recognized by applicable. + +Recruitment & Staffing Agencies : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto. + + +Show more ","
+ + + + + +
+
+ About Generate:Biomedicines

Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology™ to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered. The Company has built a machine learning-powered biomedicines platform with the potential to generate new drugs across a wide range of biologic modalities. This platform represents a potentially fundamental shift in what is possible in the field of biotherapeutic development.

We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!

Generate:Biomedicines was founded in 2018 by Flagship Pioneering and has received nearly $700 million in funding, providing the resources to rapidly scale the organization. The Company has offices in Somerville and Andover, Massachusetts with over 300 employees.

The Role:

Generation of novel proteins through data-driven machine learning models is at the core of Generate:Biomedicine’s platform. We aim to upend the traditional approach to drug development towards one characterized by intentionality, surgical precision, and speed by developing methods for protein generation that can reliably generalize across biological functions, disease areas, and therapeutic modalities.

We are seeking creative, motivated Machine Learning Scientists to develop and apply our core technologies for ML-powered protein generation. They will join a vibrant and growing machine learning group at the Company to develop innovative methods for protein generation and modeling, leveraging both in-house and external data to train and evaluate models while also deploying new algorithms into production on our experimental platform. The successful candidate will work closely with experimental scientists from Protein Sciences and Medicines groups to rapidly advance the scientific program.

Here's How You Will Contribute:

  • Develop novel machine learning models and algorithms for data-driven generation of proteins, and hone them through deployment on our experimental platform.
  • Advance and evaluate the state of the art for machine learning models of protein sequence, structure, and function, including but not limited to protein sequence design, structure prediction, complex prediction, and function learning.
  • Use our integrated data platform to devise models able to leverage measured labels “in-the-loop”.
  • Work with Protein Sciences and Medicines groups to tailor modeling efforts toward high-impact therapeutic applications.
  • Develop production-quality code in a team setting and work with MLOps for deploying and training models at scale.
  • Present progress from scientific work in regular research meetings and prepare reports and slide decks for broader internal and external communication.

The Ideal Candidate Will Have:

  • PhD in Computational Biology, Computer Science, or a related field with demonstrated experience working on scientific applications
  • 3+ years of experience with developing Machine Learning methods to solve scientific problems, with a particular interest towards applications to protein modeling as well as adjacent fields such as genomics, chemistry, immunology, or physics
  • Experience developing, debugging, and applying models using modern deep learning frameworks.
  • Proficiency in Python and experience analyzing data with Numpy/Scipy, R, or similar.

Nice to have:

  • Foundational knowledge around probabilistic machine learning and optimization methods
  • Practical experience developing deep generative models (e.g., autoregressive models, VAEs, Flows, GANs, EBMs etc.)
  • Publications in major ML conferences or scientific journals that apply ML to problems in molecular biology, structural biology, or genetics, especially at the intersection of machine learning and proteins.
  • Demonstrated experience developing software in a team setting.
  • Experience with optimizing performant code.

Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

COVID Safety:

Generate:Biomedicines enforces a mandatory vaccination policy for COVID-19. All employees must be fully vaccinated and have received a booster. The purpose of this policy is to safeguard the health of our employees, their families, and the community at large from infectious disease that may be reduced by vaccinations. The Company will make exceptions to this policy if required by applicable law and will consider requests for an exemption from this policy due to a medical reason, or because of a sincerely held religious belief, or any other exemptions that may be recognized by applicable.

Recruitment & Staffing Agencies : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.

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",2024-07-26,[] +3988087429,https://www.linkedin.com/jobs/view/data-scientist-at-repertoire-immune-medicines-3988087429?position=8&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=iNowhH%2FWgd4LX7WXUdw7qw%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Repertoire Immune Medicines,"Cambridge, MA","Repertoire Immune Medicines is a biotechnology company working to unlock and direct the remarkable power of the human immune system to treat cancer, autoimmune disease and infectious disease. The company was founded on the belief that understanding the repertoire of T cell receptor (TCR)-antigen immune synapses that maintain health and drive disease represents one of the greatest opportunities for innovation in medical science. Repertoire scientists created and developed the DECODETM platform, which allows in-depth characterization of TCR-antigen pairs, and the ability to deploy this information in the form of novel targeted immune medicines to fundamentally reprogram the immune system to kill tumors or induce immune homeostasis. + +From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire’s team is advancing a pipeline of DECODE-enabled immune medicines, such as TCR bispecifics and mRNA cancer vaccines for treatment of solid tumors and mRNA tolerizing vaccines for treatment of autoimmune diseases. + +Repertoire was founded by Flagship Pioneering and is supported by a strong investor base. In addition, the company recently entered a strategic partnership with Bristol Myers Squibb to develop tolerizing vaccines for up to three autoimmune diseases.  + +Role Overview + +Repertoire Immune Medicines is seeking a talented Data Scientist to enable the discovery of new insights from our extensive and growing DECODE immune synapse database. The successful candidate will work at the interface of data analytics, data mining, statistics, bioinformatics, and machine learning with broad impact across early discovery, candidate development, and biomarker discovery. In addition, this role is responsible for analyzing large, multi-dimensional datasets and developing methods to identify and visualize signal in noise. + +The selected candidate will be a part of the Computational Analytics Team, working alongside Computational Engineering, and interfacing directly with experimentalists in Platform Discovery, Immunology, and Protein Sciences to scope, build, and implement computational solutions. The ability to work in a fast-paced, highly collaborative environment will be critical to success. + +Key Responsibilities + + +Work alongside computational biologists, computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development. +Develop and implement robust analytical approaches/workflows/pipelines/apps as needed for in-house discovery and development. +Use analytical methods to identify patterns, signals, and features in highly multiplexed experimental assay data. +Assist in the development, optimization, and assessment of machine-learning models. +Maintain familiarity with scientific literature to assist in the development and benchmarking of new methods. +Build and deploy visualizations and user interfaces. +Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results. +Assist in the conception, development, and validation of purpose-built AI/ML models. +Influence experimental design to maximize future model learning potential. +Maintain high-quality documentation of work and discoveries, creating written reports, electronic lab notebooks, technical presentations for internal or external audiences, internal database records, code comments, and software documentation. +Communicate key data insights and to various audiences within R&D. +Manage and execute multiple projects in across matrixed teams, working with leadership to meet short timelines while maintaining scientific rigor. +Provide transparency and regular communication on project status, setbacks, and modification of strategy. +Seek out external resource and expertise when required. + + +Qualifications/Experience + + +Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. PhD preferred. +Extensive experience working with multi-dimensional datasets. +Extensive experience with Python analysis modules including pandas, numpy, scipy. +Experience performing principal component analysis, multi-variate regressions, ANOVA, and/or other statistical methods to identify relevant parameters and/or outcomes. +Preferred experience processing and/or building pipelines for next-generation sequencing data including gene expression, whole exome, TCR, single-cell. +Preferred experience performing analysis on public datasets TCGA, GTEX, PCAWG, ICGC, AACR Genie etc. +Familiarity with machine-learning model development, optimization, and assessment. +Familiarity with the development of deep generative models (e.g., autoregressive models, VAEs, CNNs, GANs, etc.). +Demonstrated expertise in core coding environments including Python, R, SQL, bash scripts. +Experience working in cloud computing environments. +Preferred experience with AI frameworks like TensorFlow, sklearn. +Preferred experience with python Streamlit or R Shiny apps +Preferred experience with data visualization packages like matplotlib, seaborn, plotly, altair, ggplot2. +Team player with ability to contribute positively to group and company culture. +Ability to communicate effectively across various teams of computational and non-computational scientists. +Ability to take ownership of challenging projects and drive them to completion. +Ability to approach problems systematically to achieve robust solutions. + + +Repertoire is committed towards social responsibility and developing an inclusive culture. Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire.  We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference. + +Repertoire is proud to be an Equal Opportunity Employer. + +Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire’s internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto. +Show more ","
+ + + + + +
+
+ Repertoire Immune Medicines is a biotechnology company working to unlock and direct the remarkable power of the human immune system to treat cancer, autoimmune disease and infectious disease. The company was founded on the belief that understanding the repertoire of T cell receptor (TCR)-antigen immune synapses that maintain health and drive disease represents one of the greatest opportunities for innovation in medical science. Repertoire scientists created and developed the DECODETM platform, which allows in-depth characterization of TCR-antigen pairs, and the ability to deploy this information in the form of novel targeted immune medicines to fundamentally reprogram the immune system to kill tumors or induce immune homeostasis.

From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire’s team is advancing a pipeline of DECODE-enabled immune medicines, such as TCR bispecifics and mRNA cancer vaccines for treatment of solid tumors and mRNA tolerizing vaccines for treatment of autoimmune diseases.

Repertoire was founded by Flagship Pioneering and is supported by a strong investor base. In addition, the company recently entered a strategic partnership with Bristol Myers Squibb to develop tolerizing vaccines for up to three autoimmune diseases. 

Role Overview

Repertoire Immune Medicines is seeking a talented Data Scientist to enable the discovery of new insights from our extensive and growing DECODE immune synapse database. The successful candidate will work at the interface of data analytics, data mining, statistics, bioinformatics, and machine learning with broad impact across early discovery, candidate development, and biomarker discovery. In addition, this role is responsible for analyzing large, multi-dimensional datasets and developing methods to identify and visualize signal in noise.

The selected candidate will be a part of the Computational Analytics Team, working alongside Computational Engineering, and interfacing directly with experimentalists in Platform Discovery, Immunology, and Protein Sciences to scope, build, and implement computational solutions. The ability to work in a fast-paced, highly collaborative environment will be critical to success.

Key Responsibilities

  • Work alongside computational biologists, computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development.
  • Develop and implement robust analytical approaches/workflows/pipelines/apps as needed for in-house discovery and development.
  • Use analytical methods to identify patterns, signals, and features in highly multiplexed experimental assay data.
  • Assist in the development, optimization, and assessment of machine-learning models.
  • Maintain familiarity with scientific literature to assist in the development and benchmarking of new methods.
  • Build and deploy visualizations and user interfaces.
  • Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
  • Assist in the conception, development, and validation of purpose-built AI/ML models.
  • Influence experimental design to maximize future model learning potential.
  • Maintain high-quality documentation of work and discoveries, creating written reports, electronic lab notebooks, technical presentations for internal or external audiences, internal database records, code comments, and software documentation.
  • Communicate key data insights and to various audiences within R&D.
  • Manage and execute multiple projects in across matrixed teams, working with leadership to meet short timelines while maintaining scientific rigor.
  • Provide transparency and regular communication on project status, setbacks, and modification of strategy.
  • Seek out external resource and expertise when required.

Qualifications/Experience

  • Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. PhD preferred.
  • Extensive experience working with multi-dimensional datasets.
  • Extensive experience with Python analysis modules including pandas, numpy, scipy.
  • Experience performing principal component analysis, multi-variate regressions, ANOVA, and/or other statistical methods to identify relevant parameters and/or outcomes.
  • Preferred experience processing and/or building pipelines for next-generation sequencing data including gene expression, whole exome, TCR, single-cell.
  • Preferred experience performing analysis on public datasets TCGA, GTEX, PCAWG, ICGC, AACR Genie etc.
  • Familiarity with machine-learning model development, optimization, and assessment.
  • Familiarity with the development of deep generative models (e.g., autoregressive models, VAEs, CNNs, GANs, etc.).
  • Demonstrated expertise in core coding environments including Python, R, SQL, bash scripts.
  • Experience working in cloud computing environments.
  • Preferred experience with AI frameworks like TensorFlow, sklearn.
  • Preferred experience with python Streamlit or R Shiny apps
  • Preferred experience with data visualization packages like matplotlib, seaborn, plotly, altair, ggplot2.
  • Team player with ability to contribute positively to group and company culture.
  • Ability to communicate effectively across various teams of computational and non-computational scientists.
  • Ability to take ownership of challenging projects and drive them to completion.
  • Ability to approach problems systematically to achieve robust solutions.

Repertoire is committed towards social responsibility and developing an inclusive culture. Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire.  We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference.

Repertoire is proud to be an Equal Opportunity Employer.

Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire’s internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3944098928,https://www.linkedin.com/jobs/view/data-scientist-at-v-soft-consulting-group-inc-3944098928?position=12&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=G3vM4gebmeIWdssaA4Kftg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,"V-Soft Consulting Group, Inc.","Boston, MA","Primary Location: Boston, Massachusetts + +V-Soft Consulting is currently hiring for a Data Scientist for our premier client in Boston, Massachusetts. + +What You’ll Need + +Technical Requirements and Certifications » + +Professional certification. + +Education And Experience » + +Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline +Two or more years of project management experience. +Eight or more years of experience in data science. +Proficiency with data mining, mathematics, and statistical analysis. +Advanced experience in pattern recognition and predictive modeling. +Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS). + +Knowledge, Skills And Abilities » + +Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects. + +What You’ll Do + +Job Responsibilities: + +Collaborate with product design and engineering teams to develop an understanding of needs. +Keep current with technical and industry developments. +Research and devise innovative statistical models for data analysis. +Enable smarter business processes by using analytics for meaningful insights. +Serve as data strategist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products. +Communicate findings to all stakeholders. +Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy +Analyze data for trends and patterns, and interpret data with clear objectives in mind +Execute analytical experiments to help solve problems across various domains and industries +Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables +Implement analytical models in production by collaborating with software developers and machine-learning engineers + +Interested? + +Qualified candidates should send their resumes to syatharla@vsoftconsulting.com + + + + +V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. + +As a valued V-Soft Consultant, you’re eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. + +V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. + +For more information or to view all our open jobs, please visit www.vsoftconsulting.com or call (844) 425-8425. + +Show more ","
+ + + + + +
+
+

Primary Location: Boston, Massachusetts

V-Soft Consulting is currently hiring for a Data Scientist for our premier client in Boston, Massachusetts.

What You’ll Need

Technical Requirements and Certifications »

  • Professional certification.

Education And Experience »

  • Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline
  • Two or more years of project management experience.
  • Eight or more years of experience in data science.
  • Proficiency with data mining, mathematics, and statistical analysis.
  • Advanced experience in pattern recognition and predictive modeling.
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS).

Knowledge, Skills And Abilities »

  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.

What You’ll Do

Job Responsibilities:

  • Collaborate with product design and engineering teams to develop an understanding of needs.
  • Keep current with technical and industry developments.
  • Research and devise innovative statistical models for data analysis.
  • Enable smarter business processes by using analytics for meaningful insights.
  • Serve as data strategist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team in the development of data products.
  • Communicate findings to all stakeholders.
  • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
  • Analyze data for trends and patterns, and interpret data with clear objectives in mind
  • Execute analytical experiments to help solve problems across various domains and industries
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
  • Implement analytical models in production by collaborating with software developers and machine-learning engineers

Interested?

Qualified candidates should send their resumes to syatharla@vsoftconsulting.com


V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks.

As a valued V-Soft Consultant, you’re eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth.

V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

For more information or to view all our open jobs, please visit www.vsoftconsulting.com or call (844) 425-8425.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-25,[] +3986954451,https://www.linkedin.com/jobs/view/data-scientist-at-definitive-healthcare-3986954451?position=14&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=4ICcda2avS9yFAAkO6xlKg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Definitive Healthcare,"Framingham, MA","At Definitive Healthcare, our passion is to transform data, analytics and expertise into healthcare commercial intelligence. We help clients uncover the right markets, opportunities and people, so they can shape tomorrow’s healthcare industry. Our SaaS platform creates new paths to commercial success in the healthcare market, so companies can identify where to go next. + +Our employees are kind, collaborative, energetic, approachable and driven. On top of that, we value the unique perspectives, backgrounds and voices of our employees. Why? Because their diverse experiences drive new ideas and help us build a better community. + +For over 10 years, we’ve built a collaborative culture driven by employees who share a passion for improving the healthcare ecosystem, enjoy giving back to the local community and value diversity and inclusion. + +One of the hallmarks of our culture is our commitment to community service. Through the DefinitiveCares program, employees can work with their choice of more than 40 charitable organizations, supporting causes from hunger and homelessness to healthcare, LGBTQ+ issues, racial justice, women’s initiatives and more. 2021 marked the sixth year that we had 100% employee participation in DefinitiveCares. + +We also provide a range of opportunities for employees to connect with each other. Employees can join any of our employee run affinity groups supporting causes such as women’s empowerment, LGBTQ+, Black, indigenous and people of color (BIPOC), disabilities and working parents and potential for many more. Affinity groups often enable greater education companywide through training, events and speaker series. + +We’re also a great place to work. For five years in a row, we’ve been recognized by the Boston Business Journal and the Boston Globe as a best place to work in Massachusetts. In 2022, Energage recognized us for Culture Excellence in Compensation & Benefits, Innovation, Great Leadership, Purpose & Value and Work-Life Flexibility! + +Think you’d be a good addition to our team? Explore our available positions here. We’d love the chance to get to know you. + +Our expansion has created the need for an energetic and motivated Data Scientist to join our team. If you would like to work at a fast-paced company that is experiencing high growth, keep reading! + +The Data Scientist will play a vital and important role in product development by leveraging advanced analytic methods to add value to Definitive’s proprietary data assets. The Data Scientist for this opening will focus on designing, developing, and implementing advanced analytics within the product to further the Commercial Strategy goals of our clients. + +The DS will manage and lead multiple strategic product enhancements that provide insights focused on critical issues for our clients. The DS will define project plans, guide and conduct research and analysis efforts, develop Commercial Strategy analytic framework. + +In this role, you will: + + +Synthesize large amounts of data into discrete stories and assumptions to determine the “so-what” for clients who use our product +Produce quality scalable analytics with minimal supervision and maintain high client satisfaction through proactive client interaction and engagement +Build therapeutic area and domain expertise to apply to scalable product solutions and thought leadership initiatives +Project Manage all aspects of assigned product enhancements including execution of key project activities +Lead and guide the work plan including oversight of quantitative analysis (e.g. forecasting, estimating) to obtain key insights and findings for the product +Work with senior staff to promote consistent operations, efficient use of resources and knowledge sharing / best practices +Demonstrate commitment to personal and professional development through trainings and/or unstructured sessions, as well as mentoring junior staff to assist in their growth +Contribute to the social environment by executing assigned firm-building activities including knowledge management, internal training sessions and assisting with recruiting top talent + + +Requirements + + +BA/BS in Statistics, Computer Science, or Engineering is required; MS, PhD preferred +Minimum 5 years of experience in applied Machine Learning, Natural Language Processing, or other Data Science methods within life sciences +Extensive Python, SQL, and Jupyter Notebook experience is required +Strong working knowledge of SQL in the cloud (Azure preferred, AWS or Google Cloud acceptable) +Proficiency across various consulting and research methodologies, including the execution of quantitative analysis and analytic modeling/forecasting +Domain Experience in Commercial Strategy preferred +Strong communication (written and verbal) skills including presentations, meeting/workshop facilitation and business writing +Excellent project and time management skills with the ability to work with colleagues across the organization +Highly motivated with a strong work ethic and ability to thrive in a fast paced, deadline driven environment +Experienced with all Microsoft Office products is critical, especially PowerPoint, Excel, Word and Outlook + + +Why we love Definitive, and why you will too! + + +Industry leading products +Work hard, and have fun doing it +Incredibly fast growth means limitless opportunity +Flexible and dynamic culture +Work alongside some of the most talented and dedicated teammates +Definitive Cares, our community service group, gives all of us a chance to give back +Competitive benefits package including great healthcare benefits and a 401(k) match + + +What our Employees are saying about us on Glassdoor: + +“Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.” + + +Business Development Manager + + +“Great team. Amazing growth. Employees are treated very well.” + + +Research Analyst + + +“I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.” + + +Profile Analyst + + +If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter. + +If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request. + +Definitive Hiring Philosophy + +Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status. If you’re interested in working in a fast growing, exciting working environment – we encourage you to apply! + +Privacy + +Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information + +Please note: All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators with an @definitivehc.com email address. We will never request any money transfer or purchase of equipment with a promise of reimbursement. If you receive any suspicious communications, please reach out to careers@definfitivehc.com to confirm your status in the application process. +Show more ","
+ + + + + +
+
+ At Definitive Healthcare, our passion is to transform data, analytics and expertise into healthcare commercial intelligence. We help clients uncover the right markets, opportunities and people, so they can shape tomorrow’s healthcare industry. Our SaaS platform creates new paths to commercial success in the healthcare market, so companies can identify where to go next.

Our employees are kind, collaborative, energetic, approachable and driven. On top of that, we value the unique perspectives, backgrounds and voices of our employees. Why? Because their diverse experiences drive new ideas and help us build a better community.

For over 10 years, we’ve built a collaborative culture driven by employees who share a passion for improving the healthcare ecosystem, enjoy giving back to the local community and value diversity and inclusion.

One of the hallmarks of our culture is our commitment to community service. Through the DefinitiveCares program, employees can work with their choice of more than 40 charitable organizations, supporting causes from hunger and homelessness to healthcare, LGBTQ+ issues, racial justice, women’s initiatives and more. 2021 marked the sixth year that we had 100% employee participation in DefinitiveCares.

We also provide a range of opportunities for employees to connect with each other. Employees can join any of our employee run affinity groups supporting causes such as women’s empowerment, LGBTQ+, Black, indigenous and people of color (BIPOC), disabilities and working parents and potential for many more. Affinity groups often enable greater education companywide through training, events and speaker series.

We’re also a great place to work. For five years in a row, we’ve been recognized by the Boston Business Journal and the Boston Globe as a best place to work in Massachusetts. In 2022, Energage recognized us for Culture Excellence in Compensation & Benefits, Innovation, Great Leadership, Purpose & Value and Work-Life Flexibility!

Think you’d be a good addition to our team? Explore our available positions here. We’d love the chance to get to know you.

Our expansion has created the need for an energetic and motivated Data Scientist to join our team. If you would like to work at a fast-paced company that is experiencing high growth, keep reading!

The Data Scientist will play a vital and important role in product development by leveraging advanced analytic methods to add value to Definitive’s proprietary data assets. The Data Scientist for this opening will focus on designing, developing, and implementing advanced analytics within the product to further the Commercial Strategy goals of our clients.

The DS will manage and lead multiple strategic product enhancements that provide insights focused on critical issues for our clients. The DS will define project plans, guide and conduct research and analysis efforts, develop Commercial Strategy analytic framework.

In this role, you will:

  • Synthesize large amounts of data into discrete stories and assumptions to determine the “so-what” for clients who use our product
  • Produce quality scalable analytics with minimal supervision and maintain high client satisfaction through proactive client interaction and engagement
  • Build therapeutic area and domain expertise to apply to scalable product solutions and thought leadership initiatives
  • Project Manage all aspects of assigned product enhancements including execution of key project activities
  • Lead and guide the work plan including oversight of quantitative analysis (e.g. forecasting, estimating) to obtain key insights and findings for the product
  • Work with senior staff to promote consistent operations, efficient use of resources and knowledge sharing / best practices
  • Demonstrate commitment to personal and professional development through trainings and/or unstructured sessions, as well as mentoring junior staff to assist in their growth
  • Contribute to the social environment by executing assigned firm-building activities including knowledge management, internal training sessions and assisting with recruiting top talent

Requirements

  • BA/BS in Statistics, Computer Science, or Engineering is required; MS, PhD preferred
  • Minimum 5 years of experience in applied Machine Learning, Natural Language Processing, or other Data Science methods within life sciences
  • Extensive Python, SQL, and Jupyter Notebook experience is required
  • Strong working knowledge of SQL in the cloud (Azure preferred, AWS or Google Cloud acceptable)
  • Proficiency across various consulting and research methodologies, including the execution of quantitative analysis and analytic modeling/forecasting
  • Domain Experience in Commercial Strategy preferred
  • Strong communication (written and verbal) skills including presentations, meeting/workshop facilitation and business writing
  • Excellent project and time management skills with the ability to work with colleagues across the organization
  • Highly motivated with a strong work ethic and ability to thrive in a fast paced, deadline driven environment
  • Experienced with all Microsoft Office products is critical, especially PowerPoint, Excel, Word and Outlook

Why we love Definitive, and why you will too!

  • Industry leading products
  • Work hard, and have fun doing it
  • Incredibly fast growth means limitless opportunity
  • Flexible and dynamic culture
  • Work alongside some of the most talented and dedicated teammates
  • Definitive Cares, our community service group, gives all of us a chance to give back
  • Competitive benefits package including great healthcare benefits and a 401(k) match

What our Employees are saying about us on Glassdoor:

“Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.”

  • Business Development Manager

“Great team. Amazing growth. Employees are treated very well.”

  • Research Analyst

“I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.”

  • Profile Analyst

If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter.

If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request.

Definitive Hiring Philosophy

Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status. If you’re interested in working in a fast growing, exciting working environment – we encourage you to apply!

Privacy

Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information

Please note: All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators with an @definitivehc.com email address. We will never request any money transfer or purchase of equipment with a promise of reimbursement. If you receive any suspicious communications, please reach out to careers@definfitivehc.com to confirm your status in the application process. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3979006046,https://www.linkedin.com/jobs/view/machine-learning-engineer-data-scientist-at-adobe-3979006046?position=15&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=9%2F%2Fth6BA9Wr0N11yqT0dGQ%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer/Data Scientist,Adobe,"Waltham, MA","Our Company + +Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. + +We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! + +The Opportunity + +The Adobe Document Cloud's AI & Innovation Team is looking for an experienced Machine Learning Engineer to help with a variety of Evaluations relatedto LLMs . Th e Adobe Document Cloud is responsible for technologies for building, manipulating and consuming PDF fil es across a range of services, mobile apps and desktop products. The flagship PDF application within DC i s Adobe Acrobat, which is installed on over a billion devices and opens billions of PDFs eve ry year. Our offerings extend beyond Acrobat to Adobe Sign, Document Cloud Platform, and Adobe Scan. + +The team’s mission is to perform scientific evaluation through metrics, experiments and inferences to build new experiences with documents, across our entire suite of offerings. Our most recent public features are Liquid Mode , allowing a flawless reflow experience for PDFs phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; Table Decomposition feature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our solutions are deployed on mobile devices, in the cloud, and on desktop. + +As a Machine Learning Engineer, you will get to democratize (generative) AI for all and empower a team of accomplished scientists and engineers who are dedicated to building the future of AI and documents and delivering delightful experiences. + +What You'll Do + +We are looking for a Machine Learning Engineer to design, lead and facilitate decisions on our features being built through scientific evaluations which includes defining metrics, hypotheses testing, experimental design, causal inference, A/B tests . If you have a passion for shipping groundbreaking data-driven customer-facing features, le arning new techn ologies every day, and working on high visibility projects with ample room for creativity, this might be a good fit for you. On the team you will join a diverse, lively group of engineers and scientists. + +The work is dynamic, fast-paced, cre ative, collab orative and data-driven. + +What we are looking for: + + +5+ yea rs of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features. +Experience with Gen AI Evaluations, statistical methodologies, like hypothes e s testing, time series analysis, mathematical modeling, linear and non-linear regression, stochastic modeling +Experience with experimentation, A/B tests, caus al inference +Advanced a nalytical abilities, defining metrics , analyzing data on user interaction with our features to support data-driven decisions +Design, architect and build data insight dashboards and visualizations. +Knowledge of ML Ops. Familiarity with ML services is a plus +Some experience with system design, ML model assessment, building data pipelines, automation architecture, system deployment. +Provide thought leadership to the data-driven community by actively mentoring teammates in standard methodologies to self-serve using the most efficient code and techniques. +Python and Python based ML and Data Science frameworks +Excellent coding, analysis, and problem-solving skills. +Strong communication and collaboration skills +Master's or PhD in statistics, econometrics, operations research, applied physics, engineering, or a related quantitative field + + +Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $135,200 -- $250,900 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. + +At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). + +In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. + +Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. + +Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. + +Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. + +Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees. +Show more ","
+ + + + + +
+
+ Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

The Adobe Document Cloud's AI & Innovation Team is looking for an experienced Machine Learning Engineer to help with a variety of Evaluations relatedto LLMs . Th e Adobe Document Cloud is responsible for technologies for building, manipulating and consuming PDF fil es across a range of services, mobile apps and desktop products. The flagship PDF application within DC i s Adobe Acrobat, which is installed on over a billion devices and opens billions of PDFs eve ry year. Our offerings extend beyond Acrobat to Adobe Sign, Document Cloud Platform, and Adobe Scan.

The team’s mission is to perform scientific evaluation through metrics, experiments and inferences to build new experiences with documents, across our entire suite of offerings. Our most recent public features are Liquid Mode , allowing a flawless reflow experience for PDFs phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; Table Decomposition feature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our solutions are deployed on mobile devices, in the cloud, and on desktop.

As a Machine Learning Engineer, you will get to democratize (generative) AI for all and empower a team of accomplished scientists and engineers who are dedicated to building the future of AI and documents and delivering delightful experiences.

What You'll Do

We are looking for a Machine Learning Engineer to design, lead and facilitate decisions on our features being built through scientific evaluations which includes defining metrics, hypotheses testing, experimental design, causal inference, A/B tests . If you have a passion for shipping groundbreaking data-driven customer-facing features, le arning new techn ologies every day, and working on high visibility projects with ample room for creativity, this might be a good fit for you. On the team you will join a diverse, lively group of engineers and scientists.

The work is dynamic, fast-paced, cre ative, collab orative and data-driven.

What we are looking for:

  • 5+ yea rs of industry work experience. Good sense of product with a focus on shipping user-facing data-driven features.
  • Experience with Gen AI Evaluations, statistical methodologies, like hypothes e s testing, time series analysis, mathematical modeling, linear and non-linear regression, stochastic modeling
  • Experience with experimentation, A/B tests, caus al inference
  • Advanced a nalytical abilities, defining metrics , analyzing data on user interaction with our features to support data-driven decisions
  • Design, architect and build data insight dashboards and visualizations.
  • Knowledge of ML Ops. Familiarity with ML services is a plus
  • Some experience with system design, ML model assessment, building data pipelines, automation architecture, system deployment.
  • Provide thought leadership to the data-driven community by actively mentoring teammates in standard methodologies to self-serve using the most efficient code and techniques.
  • Python and Python based ML and Data Science frameworks
  • Excellent coding, analysis, and problem-solving skills.
  • Strong communication and collaboration skills
  • Master's or PhD in statistics, econometrics, operations research, applied physics, engineering, or a related quantitative field

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $135,200 -- $250,900 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-08,[] +3991383038,https://www.linkedin.com/jobs/view/scientist-data-science-at-apriori-bio-3991383038?position=20&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=zhZwDgZynUzNPsOIrzCCzw%3D%3D&trk=public_jobs_jserp-result_search-card,"Scientist, Data Science",Apriori Bio,"Cambridge, MA","Apriori Bio is an early-stage biotechnology company with an ambitious and exciting mission: to lay the foundation for Global Pathogen Shield™ protective interventions that that can neutralize a wide range of the most dangerous and rapidly evolving infectious pathogen threats. The company is developing a revolutionary approach to this challenge and recruiting a team of top-tier scientists to build what it believes will be a powerful, first-in-category R&D platform. + +Apriori Bio was founded by Flagship Pioneering, a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com + +Job Description: + +Apriori Bio is seeking a Scientist in Data Science with a track record of developing and successfully applying analytical tools to high-throughput assays. This role is positioned at a critical interface that bridges high-throughput assays and computational methods to design variant-resilient vaccines and antibodies against infectious disease. Experience in analysis of high-throughput functional genomics assays (e.g. deep mutational scanning, barcode-based NGS assays, and other library based phenotypic assays) and data visualization is desired, as is technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics. The successful candidate will play a critical role in formulating and executing a science & technology approach that will allow the company to deliver against its near- and longer-term goals. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast-paced start-up environment. + +Roles & Responsibilities: + +Build robust computational tools to interpret data from viral deep mutational scanning experiments and apply learnings to product design +Identify and source additional relevant external and internal datasets (e.g. viral sequence variation and phylogenetics, structural informatics) to augment the interpretation and application of viral deep mutational scanning data. +Develop data visualizations to communicate learnings from analyses +Collaborate with experimental and computational scientists to guide data analysis, interpret results, and build an iterative experimental cycle. +Work with computational and experimental scientists to establish data management practices and SOPs to improve efficiency and reproducibility +Provide technical input in support of company’s science & technology strategy and monitor progress toward key strategic goals on an ongoing basis. +Communicate insights and conclusions to colleagues in the scientific and leadership teams. + + + + +Qualifications: + +PhD in computational biology, genomics, virology, immunology, or a related field. +Experience with scientific or quantitative computing (python preferred), bash scripting, and relational databases +Experience in implementing best practices in reproducible scientific computing (git, documentation, object-oriented programming, etc.) +Experience in exploratory data analysis, statistics, and statistical inference (such as machine learning, Bayesian inference, etc.) +Demonstrated success in analyzing high-throughput functional assays +Experience with protein engineering, viral antibody responses or vaccine design, phylogenetics and/or analysis of viral sequence variation. +Ability to work in and adapt to a fast-paced environment + +Preferred Qualifications: + +Previous work with viral entry proteins, biological sequence or protein structure datasets, or computational vaccine design +Demonstrated experience developing dashboards, visualization and/or phylogenetic software. +Experience with bioinformatics (i.e. snakemake/nextflow, samtools)and data engineering (i.e., SQL/noSQL) tools +Familiarity with collaborative data science environments, such as jupyterhub, databricks, sagemaker, dataiku, or alteryx + +Values and Behaviors + +We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidate. + +At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. + + + + +Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. + + + + +Show more ","
+ + + + + +
+
+

Apriori Bio is an early-stage biotechnology company with an ambitious and exciting mission: to lay the foundation for Global Pathogen Shield™ protective interventions that that can neutralize a wide range of the most dangerous and rapidly evolving infectious pathogen threats. The company is developing a revolutionary approach to this challenge and recruiting a team of top-tier scientists to build what it believes will be a powerful, first-in-category R&D platform.

Apriori Bio was founded by Flagship Pioneering, a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com

Job Description:

Apriori Bio is seeking a Scientist in Data Science with a track record of developing and successfully applying analytical tools to high-throughput assays. This role is positioned at a critical interface that bridges high-throughput assays and computational methods to design variant-resilient vaccines and antibodies against infectious disease. Experience in analysis of high-throughput functional genomics assays (e.g. deep mutational scanning, barcode-based NGS assays, and other library based phenotypic assays) and data visualization is desired, as is technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics. The successful candidate will play a critical role in formulating and executing a science & technology approach that will allow the company to deliver against its near- and longer-term goals. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast-paced start-up environment.

Roles & Responsibilities:

  • Build robust computational tools to interpret data from viral deep mutational scanning experiments and apply learnings to product design
  • Identify and source additional relevant external and internal datasets (e.g. viral sequence variation and phylogenetics, structural informatics) to augment the interpretation and application of viral deep mutational scanning data.
  • Develop data visualizations to communicate learnings from analyses
  • Collaborate with experimental and computational scientists to guide data analysis, interpret results, and build an iterative experimental cycle.
  • Work with computational and experimental scientists to establish data management practices and SOPs to improve efficiency and reproducibility
  • Provide technical input in support of company’s science & technology strategy and monitor progress toward key strategic goals on an ongoing basis.
  • Communicate insights and conclusions to colleagues in the scientific and leadership teams.


Qualifications:

  • PhD in computational biology, genomics, virology, immunology, or a related field.
  • Experience with scientific or quantitative computing (python preferred), bash scripting, and relational databases
  • Experience in implementing best practices in reproducible scientific computing (git, documentation, object-oriented programming, etc.)
  • Experience in exploratory data analysis, statistics, and statistical inference (such as machine learning, Bayesian inference, etc.)
  • Demonstrated success in analyzing high-throughput functional assays
  • Experience with protein engineering, viral antibody responses or vaccine design, phylogenetics and/or analysis of viral sequence variation.
  • Ability to work in and adapt to a fast-paced environment

Preferred Qualifications:

  • Previous work with viral entry proteins, biological sequence or protein structure datasets, or computational vaccine design
  • Demonstrated experience developing dashboards, visualization and/or phylogenetic software.
  • Experience with bioinformatics (i.e. snakemake/nextflow, samtools)and data engineering (i.e., SQL/noSQL) tools
  • Familiarity with collaborative data science environments, such as jupyterhub, databricks, sagemaker, dataiku, or alteryx

Values and Behaviors

We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidate.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.


Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.


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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3994746650,https://www.linkedin.com/jobs/view/machine-learning-engineer-at-strativ-group-3994746650?position=22&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=dzfqc%2Fcb9UV1MpaYZT12vw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Engineer,Strativ Group,"Boston, MA","About the Client + + + + +Our client is an AI research lab dedicated to advancing machine learning and artificial intelligence technologies. They work with leading technology companies to develop next-generation AI solutions that address complex challenges. This innovative, well-funded organization values collaboration and unites experts in computational sciences to push the boundaries of AI research and application. Join their team where research, engineering, and problem-solving are at the core of their mission. + + + + +The Role + + + + +Our client is in an exciting phase of growth, expanding their partnerships with top tech companies to create groundbreaking AI technologies. The team has developed advanced computational tools that are being implemented in various AI research projects, and they are investing heavily in further research to enhance these technologies. A key aspect of their progress is improving their computational infrastructure to speed up R&D cycles and streamline the application of developed technologies. They are seeking a skilled ML engineer to drive this initiative. Your responsibilities will include: + + + + +Designing, building, and maintaining systems for data management, large-scale training, rapid experimentation, and ML model deployment. +Developing and overseeing systems for distributed inference of AI models. +Optimizing, deploying, and supporting essential computational workflows for the research team. +Collaborating with other scientists and engineers to identify and implement infrastructure improvements that increase efficiency and outcomes. + + + + +Qualifications + + + + +Demonstrated experience in creating and deploying scalable ML systems and tools that facilitate a smooth transition from prototype to production. +Strong software development skills, with a keen ability to design appropriate abstractions and balance complexity with flexibility. +Proven track record in scaling infrastructure within a rapidly growing startup or team. +Proficiency in setting up and managing automation tools (e.g., CI), development environments (e.g., Docker, AWS), and version control systems (e.g., GitHub) for ML workflows. +Bachelors or Masters degree in Computer Science or Machine learning/closely related subject area from a well regarded technical university +2+ Years in a commercial ML Engineering role + + + + +The salary on offer for this role is up to $225,000 with flexibility for the right person. It's based in central Boston, with most of the team in the office 3+ times a week. There are huge equity upside potentials at play, as well as a strong bonus. + +Show more ","
+ + + + + +
+
+

About the Client


Our client is an AI research lab dedicated to advancing machine learning and artificial intelligence technologies. They work with leading technology companies to develop next-generation AI solutions that address complex challenges. This innovative, well-funded organization values collaboration and unites experts in computational sciences to push the boundaries of AI research and application. Join their team where research, engineering, and problem-solving are at the core of their mission.


The Role


Our client is in an exciting phase of growth, expanding their partnerships with top tech companies to create groundbreaking AI technologies. The team has developed advanced computational tools that are being implemented in various AI research projects, and they are investing heavily in further research to enhance these technologies. A key aspect of their progress is improving their computational infrastructure to speed up R&D cycles and streamline the application of developed technologies. They are seeking a skilled ML engineer to drive this initiative. Your responsibilities will include:


  • Designing, building, and maintaining systems for data management, large-scale training, rapid experimentation, and ML model deployment.
  • Developing and overseeing systems for distributed inference of AI models.
  • Optimizing, deploying, and supporting essential computational workflows for the research team.
  • Collaborating with other scientists and engineers to identify and implement infrastructure improvements that increase efficiency and outcomes.


Qualifications


  • Demonstrated experience in creating and deploying scalable ML systems and tools that facilitate a smooth transition from prototype to production.
  • Strong software development skills, with a keen ability to design appropriate abstractions and balance complexity with flexibility.
  • Proven track record in scaling infrastructure within a rapidly growing startup or team.
  • Proficiency in setting up and managing automation tools (e.g., CI), development environments (e.g., Docker, AWS), and version control systems (e.g., GitHub) for ML workflows.
  • Bachelors or Masters degree in Computer Science or Machine learning/closely related subject area from a well regarded technical university
  • 2+ Years in a commercial ML Engineering role


The salary on offer for this role is up to $225,000 with flexibility for the right person. It's based in central Boston, with most of the team in the office 3+ times a week. There are huge equity upside potentials at play, as well as a strong bonus.

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",2024-08-06,[] +3993751563,https://www.linkedin.com/jobs/view/scientist-data-science-at-flagship-pioneering-3993751563?position=26&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=9XlojfEY8kbppIszy2NrMA%3D%3D&trk=public_jobs_jserp-result_search-card,"Scientist, Data Science",Flagship Pioneering,"Cambridge, MA","Apriori Bio is an early-stage biotechnology company with an ambitious and exciting mission: to lay the foundation for Global Pathogen Shield™ protective interventions that that can neutralize a wide range of the most dangerous and rapidly evolving infectious pathogen threats. The company is developing a revolutionary approach to this challenge and recruiting a team of top-tier scientists to build what it believes will be a powerful, first-in-category R&D platform. + +Apriori Bio was founded by Flagship Pioneering, a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com + +Job Description: + +Apriori Bio is seeking a Scientist in Data Science with a track record of developing and successfully applying analytical tools to high-throughput assays. This role is positioned at a critical interface that bridges high-throughput assays and computational methods to design variant-resilient vaccines and antibodies against infectious disease. Experience in analysis of high-throughput functional genomics assays (e.g. deep mutational scanning, barcode-based NGS assays, and other library based phenotypic assays) and data visualization is desired, as is technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics. The successful candidate will play a critical role in formulating and executing a science & technology approach that will allow the company to deliver against its near- and longer-term goals. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast-paced start-up environment. + +Roles & Responsibilities: + + +Build robust computational tools to interpret data from viral deep mutational scanning experiments and apply learnings to product design +Identify and source additional relevant external and internal datasets (e.g. viral sequence variation and phylogenetics, structural informatics) to augment the interpretation and application of viral deep mutational scanning data. +Develop data visualizations to communicate learnings from analyses +Collaborate with experimental and computational scientists to guide data analysis, interpret results, and build an iterative experimental cycle. +Work with computational and experimental scientists to establish data management practices and SOPs to improve efficiency and reproducibility +Provide technical input in support of company’s science & technology strategy and monitor progress toward key strategic goals on an ongoing basis. +Communicate insights and conclusions to colleagues in the scientific and leadership teams. + + +Qualifications: + + +PhD in computational biology, genomics, virology, immunology, or a related field. +Experience with scientific or quantitative computing (python preferred), bash scripting, and relational databases +Experience in implementing best practices in reproducible scientific computing (git, documentation, object-oriented programming, etc.) +Experience in exploratory data analysis, statistics, and statistical inference (such as machine learning, Bayesian inference, etc.) +Demonstrated success in analyzing high-throughput functional assays +Experience with protein engineering, viral antibody responses or vaccine design, phylogenetics and/or analysis of viral sequence variation. +Ability to work in and adapt to a fast-paced environment + + +Preferred Qualifications: + + +Previous work with viral entry proteins, biological sequence or protein structure datasets, or computational vaccine design +Demonstrated experience developing dashboards, visualization and/or phylogenetic software. +Experience with bioinformatics (i.e. snakemake/nextflow, samtools)and data engineering (i.e., SQL/noSQL) tools +Familiarity with collaborative data science environments, such as jupyterhub, databricks, sagemaker, dataiku, or alteryx + + +Values and Behaviors + +We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidate. + +At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. + +Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +Show more ","
+ + + + + +
+
+ Apriori Bio is an early-stage biotechnology company with an ambitious and exciting mission: to lay the foundation for Global Pathogen Shield™ protective interventions that that can neutralize a wide range of the most dangerous and rapidly evolving infectious pathogen threats. The company is developing a revolutionary approach to this challenge and recruiting a team of top-tier scientists to build what it believes will be a powerful, first-in-category R&D platform.

Apriori Bio was founded by Flagship Pioneering, a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com

Job Description:

Apriori Bio is seeking a Scientist in Data Science with a track record of developing and successfully applying analytical tools to high-throughput assays. This role is positioned at a critical interface that bridges high-throughput assays and computational methods to design variant-resilient vaccines and antibodies against infectious disease. Experience in analysis of high-throughput functional genomics assays (e.g. deep mutational scanning, barcode-based NGS assays, and other library based phenotypic assays) and data visualization is desired, as is technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics. The successful candidate will play a critical role in formulating and executing a science & technology approach that will allow the company to deliver against its near- and longer-term goals. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast-paced start-up environment.

Roles & Responsibilities:

  • Build robust computational tools to interpret data from viral deep mutational scanning experiments and apply learnings to product design
  • Identify and source additional relevant external and internal datasets (e.g. viral sequence variation and phylogenetics, structural informatics) to augment the interpretation and application of viral deep mutational scanning data.
  • Develop data visualizations to communicate learnings from analyses
  • Collaborate with experimental and computational scientists to guide data analysis, interpret results, and build an iterative experimental cycle.
  • Work with computational and experimental scientists to establish data management practices and SOPs to improve efficiency and reproducibility
  • Provide technical input in support of company’s science & technology strategy and monitor progress toward key strategic goals on an ongoing basis.
  • Communicate insights and conclusions to colleagues in the scientific and leadership teams.

Qualifications:

  • PhD in computational biology, genomics, virology, immunology, or a related field.
  • Experience with scientific or quantitative computing (python preferred), bash scripting, and relational databases
  • Experience in implementing best practices in reproducible scientific computing (git, documentation, object-oriented programming, etc.)
  • Experience in exploratory data analysis, statistics, and statistical inference (such as machine learning, Bayesian inference, etc.)
  • Demonstrated success in analyzing high-throughput functional assays
  • Experience with protein engineering, viral antibody responses or vaccine design, phylogenetics and/or analysis of viral sequence variation.
  • Ability to work in and adapt to a fast-paced environment

Preferred Qualifications:

  • Previous work with viral entry proteins, biological sequence or protein structure datasets, or computational vaccine design
  • Demonstrated experience developing dashboards, visualization and/or phylogenetic software.
  • Experience with bioinformatics (i.e. snakemake/nextflow, samtools)and data engineering (i.e., SQL/noSQL) tools
  • Familiarity with collaborative data science environments, such as jupyterhub, databricks, sagemaker, dataiku, or alteryx

Values and Behaviors

We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidate.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +
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",2024-08-06,[] +3996315706,https://www.linkedin.com/jobs/view/machine-learning-operations-engineer-at-flagship-pioneering-3996315706?position=27&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=gCv%2Fgmgy5%2B%2FmCkAUuZzpqw%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Operations Engineer,Flagship Pioneering,"Cambridge, MA","Company Summary + +Flagship Labs 97 Inc. (FL97) is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. FL97 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science. + +Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. + +At FL97, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. + +If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply. + +The Role + +FL97 is seeking a dedicated and skilled Machine Learning Operations Engineer (ML Ops) to join our team. This role will focus on building and maintaining private cloud infrastructure used to train large scale machine learning models. You will be part of a dynamic, cross-functional team responsible for developing new artificial intelligence models that push the frontier of science. Working closely with biologists, bioinformaticians, software developers, machine learning scientists and automation engineers, you will contribute to the development of ML models for a range of scientific applications. The ideal candidate has a strong background in machine learning, as well as either experience in biotech industry or a record of scientific achievement, with a focus on MLOps, model training, and deployment. + +Responsibilities include: + + +Developing and managing a large cloud-based cluster with >100 GPUs in support of FL 97 machine learning scientists (help make the GPUs go brr). +Implementing MLOps practices to streamline the model development and deployment process. +Collaborating with cross-functional teams to integrate ML models into the data pipelines for our labs. +Implementing rigorous testing, documentation, and performance benchmarking. + + +Qualifications: + + +Master's degree (or equivalent experience) in computer science, computational biology, physics, or other quantitative disciplines +Experience managing Kubernetes clusters with kubectl on cloud-based GPU infrastructure such as Lamda Labs or AWS +Experience with MLOps practices and tools including version control, automated testing, and CI/CD +Experience with GPU accelerated ML computing in at least pytorch and robust experience in the Python data science ecosystem. +Knowledge of additional high-performance libraries like Accelerate, DeepSpeed, etc is a plus +Experience with managing large, containerized multi-GPU training runs for large language models on Ray, Dask, Kueue, or Slurm or similar libraries. + + +Working at FL97, you would have access to advanced technology in the areas of: + + +AI experimental design and simulation +Automated custom instrumentation +Generative molecular and material design + + +More About Flagship Pioneering + +Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. + +Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. + +At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. + +Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +Show more ","
+ + + + + +
+
+ Company Summary

Flagship Labs 97 Inc. (FL97) is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. FL97 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.

Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities.

At FL97, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

The Role

FL97 is seeking a dedicated and skilled Machine Learning Operations Engineer (ML Ops) to join our team. This role will focus on building and maintaining private cloud infrastructure used to train large scale machine learning models. You will be part of a dynamic, cross-functional team responsible for developing new artificial intelligence models that push the frontier of science. Working closely with biologists, bioinformaticians, software developers, machine learning scientists and automation engineers, you will contribute to the development of ML models for a range of scientific applications. The ideal candidate has a strong background in machine learning, as well as either experience in biotech industry or a record of scientific achievement, with a focus on MLOps, model training, and deployment.

Responsibilities include:

  • Developing and managing a large cloud-based cluster with >100 GPUs in support of FL 97 machine learning scientists (help make the GPUs go brr).
  • Implementing MLOps practices to streamline the model development and deployment process.
  • Collaborating with cross-functional teams to integrate ML models into the data pipelines for our labs.
  • Implementing rigorous testing, documentation, and performance benchmarking.

Qualifications:

  • Master's degree (or equivalent experience) in computer science, computational biology, physics, or other quantitative disciplines
  • Experience managing Kubernetes clusters with kubectl on cloud-based GPU infrastructure such as Lamda Labs or AWS
  • Experience with MLOps practices and tools including version control, automated testing, and CI/CD
  • Experience with GPU accelerated ML computing in at least pytorch and robust experience in the Python data science ecosystem.
  • Knowledge of additional high-performance libraries like Accelerate, DeepSpeed, etc is a plus
  • Experience with managing large, containerized multi-GPU training runs for large language models on Ray, Dask, Kueue, or Slurm or similar libraries.

Working at FL97, you would have access to advanced technology in the areas of:

  • AI experimental design and simulation
  • Automated custom instrumentation
  • Generative molecular and material design

More About Flagship Pioneering

Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3995722700,https://www.linkedin.com/jobs/view/data-scientist-at-similarweb-3995722700?position=31&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=m2EvATzjXscKgJxKBxAGkg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Similarweb,"Burlington, MA","At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. + +Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. + +In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people. + +We’re looking for a Data Analyst / Data Scientist to partner with our consulting team by delivering best-in-class data analysis for research projects for prospective and existing clients, and driving value for clients’ strategic business needs. + +This role will report to the Research Analytics Manager of Data Labs. + +Why is this role so important at Similarweb? + +Similarweb is more than just a data provider. We develop long-term and collaborative partnerships with our clients, and are constantly striving to help them make better business decisions using our data. One of the ways we do this is through our advisory services. + +As a Data Analyst, you will work with our team of Advisory Services Consultants and Data Engineering team, to create customized data analyses using Similarweb data. + +Your data analysis will support our prospective clients’ and existing clients’ strategic business needs, and help the business increase and retain customers. + +So, what will you be doing all day? + +Your role as part of the Data Labs Team means your daily responsibilities may include: + + +Partnering with our in-house consultants and GTM teams to scope out custom data analysis projects for client +Building models and utilizing sophisticated technology such as web scraping and AI to enrich datasets to target client pain points +Collaborating with Data Engineering to ensure the existence of use-case specific data, and estimating the availability and effort required to produce specific custom reports +Preparing and communicating customized data analysis to advisory services consultant, to ensure successful delivery to clients + + +This Is The Perfect Job For Someone Who + + +Demonstrates advanced proficiency in data analysis (Python, Excel, Tableau, SQL) +Can use their analytical skills to drive business impact +Has a general understanding of digital marketing trends +Has experience in client-facing roles (preferred) +Has experience working collectively with other teams and stakeholders to accomplish business goals +Is able to apply relevant industry knowledge to solve specific client business needs, and demonstrate value within individual client use cases + + +**At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.** + +Why You’ll Love Being a Similarwebber + +You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. + +You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. + +We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. + +You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. + +Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. + +We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: https://www.similarweb.com/corp/legal/applicant-privacy-policies/ + + +Please note: We’re unable to sponsor employment visas at this time.* + + +We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here . + + +Show more ","
+ + + + + +
+
+ At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

We’re looking for a Data Analyst / Data Scientist to partner with our consulting team by delivering best-in-class data analysis for research projects for prospective and existing clients, and driving value for clients’ strategic business needs.

This role will report to the Research Analytics Manager of Data Labs.

Why is this role so important at Similarweb?

Similarweb is more than just a data provider. We develop long-term and collaborative partnerships with our clients, and are constantly striving to help them make better business decisions using our data. One of the ways we do this is through our advisory services.

As a Data Analyst, you will work with our team of Advisory Services Consultants and Data Engineering team, to create customized data analyses using Similarweb data.

Your data analysis will support our prospective clients’ and existing clients’ strategic business needs, and help the business increase and retain customers.

So, what will you be doing all day?

Your role as part of the Data Labs Team means your daily responsibilities may include:

  • Partnering with our in-house consultants and GTM teams to scope out custom data analysis projects for client
  • Building models and utilizing sophisticated technology such as web scraping and AI to enrich datasets to target client pain points
  • Collaborating with Data Engineering to ensure the existence of use-case specific data, and estimating the availability and effort required to produce specific custom reports
  • Preparing and communicating customized data analysis to advisory services consultant, to ensure successful delivery to clients

This Is The Perfect Job For Someone Who

  • Demonstrates advanced proficiency in data analysis (Python, Excel, Tableau, SQL)
  • Can use their analytical skills to drive business impact
  • Has a general understanding of digital marketing trends
  • Has experience in client-facing roles (preferred)
  • Has experience working collectively with other teams and stakeholders to accomplish business goals
  • Is able to apply relevant industry knowledge to solve specific client business needs, and demonstrate value within individual client use cases

**At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.**

Why You’ll Love Being a Similarwebber

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: https://www.similarweb.com/corp/legal/applicant-privacy-policies/

  • Please note: We’re unable to sponsor employment visas at this time.*

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3936963550,https://www.linkedin.com/jobs/view/machine-learning-ai-engineer-at-amd-3936963550?position=35&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=n9x9jvEDtmvYyxsGNpWTpA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning/AI Engineer,AMD,"Boxborough, MA","WHAT YOU DO AT AMD CHANGES EVERYTHING + +We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. + +AMD together we advance_ + +Job Description + +We are currently seeking an Experienced Machine Learning/AI Engineer to join our expanding team at AMD, Inc. In this role, you will have the opportunity to make a significant impact by developing, implementing, and improving AI and machine learning solutions across our technology and product offerings. Your expertise in AI and machine learning, as well as your passion for innovation, will play a key role in AMD's continued growth and success. + +Responsibilities + + +Develop and implement machine learning and artificial intelligence models, algorithms, and systems tailored to specific project goals and requirements. +Collaborate effectively with cross-functional teams, including product managers, researchers, hardware engineers, and software developers to deliver comprehensive AI solutions. +Continuously explore, evaluate, and implement cutting-edge techniques and methodologies to enhance product performance and develop new features. +Optimize machine learning models to ensure efficient deployment on AMD hardware and software platforms. +Monitor the performance of deployed models, maintain, and update as necessary, and troubleshoot any related issues. +Stay current on the latest advancements in the field of AI and machine learning, sharing knowledge and insights within the organization to foster a culture of innovation. + + + +Requirements + + +Professional experience in AI/ML engineering, with a proven track record of successful projects. +Strong understanding of AI/ML concepts and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, and probabilistic graphical models. +Hands-on experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and Scikit-learn. +Proficient in programming languages such as Python, C++, and Java. +Familiarity with AMD's hardware (GPU, CPU, and APU) and software (ROCm, OpenCL, HIP) platforms is a plus. +Strong analytical, problem-solving, and critical-thinking skills, with the ability to work independently and as part of a team. +Excellent written and verbal communication skills, with the ability to effectively communicate complex concepts to a diverse audience. + + + +Academic Credentials + + +Bachelor's degree in computer science, Computer Engineering, or a related field; advanced degree (MS or Ph.D.) preferred. + + + +Location: Boxborough, MA + +At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. + +AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. + + +Show more ","
+ + + + + +
+
+ WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

Job Description

We are currently seeking an Experienced Machine Learning/AI Engineer to join our expanding team at AMD, Inc. In this role, you will have the opportunity to make a significant impact by developing, implementing, and improving AI and machine learning solutions across our technology and product offerings. Your expertise in AI and machine learning, as well as your passion for innovation, will play a key role in AMD's continued growth and success.

Responsibilities

  • Develop and implement machine learning and artificial intelligence models, algorithms, and systems tailored to specific project goals and requirements.
  • Collaborate effectively with cross-functional teams, including product managers, researchers, hardware engineers, and software developers to deliver comprehensive AI solutions.
  • Continuously explore, evaluate, and implement cutting-edge techniques and methodologies to enhance product performance and develop new features.
  • Optimize machine learning models to ensure efficient deployment on AMD hardware and software platforms.
  • Monitor the performance of deployed models, maintain, and update as necessary, and troubleshoot any related issues.
  • Stay current on the latest advancements in the field of AI and machine learning, sharing knowledge and insights within the organization to foster a culture of innovation.


Requirements

  • Professional experience in AI/ML engineering, with a proven track record of successful projects.
  • Strong understanding of AI/ML concepts and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, and probabilistic graphical models.
  • Hands-on experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and Scikit-learn.
  • Proficient in programming languages such as Python, C++, and Java.
  • Familiarity with AMD's hardware (GPU, CPU, and APU) and software (ROCm, OpenCL, HIP) platforms is a plus.
  • Strong analytical, problem-solving, and critical-thinking skills, with the ability to work independently and as part of a team.
  • Excellent written and verbal communication skills, with the ability to effectively communicate complex concepts to a diverse audience.


Academic Credentials

  • Bachelor's degree in computer science, Computer Engineering, or a related field; advanced degree (MS or Ph.D.) preferred.


Location: Boxborough, MA

At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3997378390,https://www.linkedin.com/jobs/view/data-scientist-at-hackajob-3997378390?position=36&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=UwzunIrnBe87RfnTHfQnEg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,hackajob,"Boston, MA","Exciting Opportunity Alert! Join our Team as a Data Scientist! + + + + +hackajob has partnered with a cutting-edge company seeking a talented Data Scientist with expertise in Machine Learning, Statistical Modeling and Python to join our innovative team! + + + + +Role: Data Scientist + +Location: Hybrid (Boston, MA, USA) + +Salary: Up to $250k depending on experience + benefits package + + + + +Required Skills: + +Advanced proficiency in programming languages such as Python and SQL, and extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch). +Extensive experience in data science, machine learning, and statistical modeling, with a proven track record of leading successful projects. +Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery. +Experience with data manipulation and visualization tools. + + + + +If you're interested in finding out more about this fantastic opportunity please get your application in and we can arrange a call. + + + + +hackajob is a recruitment platform that will match you with relevant roles based on your preferences and in order to be matched with the roles you need to create an account with us. + + + + +*This role requires you to be based in the US* + +Show more ","
+ + + + + +
+
+

Exciting Opportunity Alert! Join our Team as a Data Scientist!


hackajob has partnered with a cutting-edge company seeking a talented Data Scientist with expertise in Machine Learning, Statistical Modeling and Python to join our innovative team!


Role: Data Scientist

Location: Hybrid (Boston, MA, USA)

Salary: Up to $250k depending on experience + benefits package


Required Skills:

  • Advanced proficiency in programming languages such as Python and SQL, and extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Extensive experience in data science, machine learning, and statistical modeling, with a proven track record of leading successful projects.
  • Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery.
  • Experience with data manipulation and visualization tools.


If you're interested in finding out more about this fantastic opportunity please get your application in and we can arrange a call.


hackajob is a recruitment platform that will match you with relevant roles based on your preferences and in order to be matched with the roles you need to create an account with us.


*This role requires you to be based in the US*

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",2024-08-09,[] +3993766429,https://www.linkedin.com/jobs/view/entry-level-python-developer-remote-at-synergisticit-3993766429?position=37&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=4d34%2F5DlDhpPYKgvTX%2B%2BjA%3D%3D&trk=public_jobs_jserp-result_search-card,Entry Level Python Developer (Remote),SynergisticIT,"Cambridge, MA","Since 2010 Synergisticit has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers. + +In this Job market also, our candidates can achieve multiple job offers and $100k + salaries. + +please check the below links to see the success outcomes and salaries of our candidates. + +We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 + +(url removed)(phone number removed)di + +All Positions are open for all visas and US citizens + +We at Synergistic understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart labs etc to name a few. + +Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients. + +Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry. + +We assist in filing for STEM extension and also for H1b and Green card filing to Candidates + +We want Data Science/Machine learning/Data Analyst and Java Full stack candidates + +For data Science/Machine learning Positions + +Required Skills + +Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT + +Project work on the technologies needed + +Highly motivated, self-learner, and technically inquisitive + +Experience in programming language Java and understanding of the software development life cycle + +Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools + +Excellent written and verbal communication skills + +Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow + +REQUIRED SKILLS For Java /Full Stack/Software Positions + +Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT + +Highly motivated, self-learner, and technically inquisitive + +Experience in programming language Java and understanding of the software development life cycle + +Project work on the skills + +Knowledge of Core Java, Javascript, C++, or software programming + +Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience + +Excellent written and verbal communication skills + +If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements. + +No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or C2C candidates +Show more ","
+ + + + + +
+
+ Since 2010 Synergisticit has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.

In this Job market also, our candidates can achieve multiple job offers and $100k + salaries.

please check the below links to see the success outcomes and salaries of our candidates.

We regularly interact with the Top Tech companies to give our candidates a competitive advantage visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023

(url removed)(phone number removed)di

All Positions are open for all visas and US citizens

We at Synergistic understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart labs etc to name a few.

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.

Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry.

We assist in filing for STEM extension and also for H1b and Green card filing to Candidates

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates

For data Science/Machine learning Positions

Required Skills

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Project work on the technologies needed

Highly motivated, self-learner, and technically inquisitive

Experience in programming language Java and understanding of the software development life cycle

Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools

Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow

REQUIRED SKILLS For Java /Full Stack/Software Positions

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Highly motivated, self-learner, and technically inquisitive

Experience in programming language Java and understanding of the software development life cycle

Project work on the skills

Knowledge of Core Java, Javascript, C++, or software programming

Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience

Excellent written and verbal communication skills

If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements.

No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or C2C candidates +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3980373431,https://www.linkedin.com/jobs/view/entry-level-data-analyst-scientist-at-synergisticit-3980373431?position=41&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=XLKdsLY1YWzzDY6mJDae4A%3D%3D&trk=public_jobs_jserp-result_search-card,Entry Level Data Analyst/Scientist,SynergisticIT,"Boston, MA","For more than 12 years Synergisticit has helped Jobseekers stand out from other Jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers. + +In this market also our candidates get multiple job offers and $100k + salaries. + +please check the below links to see success outcomes of our candidates . + +(url removed) + +We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 + +All Positions are open for all visas and US citizens + +We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. + +Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. + +Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry. + +We assist in filing for STEM extension and also for H1b and Green card filing to Candidates + +We want Data Science/Machine learning/Data Analyst and Java Full stack candidates + +For data Science/Machine learning Positions + +Required Skills + +Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT + +Project work on the technologies needed + +Highly motivated, self-learner, and technically inquisitive + +Experience in programming language Java and understanding of the software development life cycle + +Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools + +Excellent written and verbal communication skills + +Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow + +REQUIRED SKILLS For Java /Full Stack/Software Positions + +Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT + +Highly motivated, self-learner, and technically inquisitive + +Experience in programming language Java and understanding of the software development life cycle + +Project work on the skills + +Knowledge of Core Java , javascript , C++ or software programming + +Spring boot, Microservices, Docker, Jenkins and REST API's experience + +Excellent written and verbal communication skills + +If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. + +No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates +Show more ","
+ + + + + +
+
+ For more than 12 years Synergisticit has helped Jobseekers stand out from other Jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.

In this market also our candidates get multiple job offers and $100k + salaries.

please check the below links to see success outcomes of our candidates .

(url removed)

We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023

All Positions are open for all visas and US citizens

We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.

We assist in filing for STEM extension and also for H1b and Green card filing to Candidates

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates

For data Science/Machine learning Positions

Required Skills

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Project work on the technologies needed

Highly motivated, self-learner, and technically inquisitive

Experience in programming language Java and understanding of the software development life cycle

Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools

Excellent written and verbal communication skills

Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow

REQUIRED SKILLS For Java /Full Stack/Software Positions

Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Highly motivated, self-learner, and technically inquisitive

Experience in programming language Java and understanding of the software development life cycle

Project work on the skills

Knowledge of Core Java , javascript , C++ or software programming

Spring boot, Microservices, Docker, Jenkins and REST API's experience

Excellent written and verbal communication skills

If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.

No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-22,[] +3983719052,https://www.linkedin.com/jobs/view/research-and-development-scientist-at-covaris-3983719052?position=42&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=sav4%2FHZlqjWVFt5sByu4Qw%3D%3D&trk=public_jobs_jserp-result_search-card,Research And Development Scientist,Covaris,"Woburn, MA","Summary: The open position presents an exciting opportunity for a Scientist with life sciences education and experience to make substantial contributions to Research and Development projects in a rapidly growing leading biotech company. The successful candidate will be part of a multi-disciplinary team that integrates expertise and experience of biologists, chemists, physicists and mechanical and electrical engineers. The candidate will support research and development of next generation consumable and instrumentation systems. This position reports to the Senior Director of R&D. + + + + +Essential Responsibilities and Position-related Expectations: + + + + +· Planning, execution and analysis of experiments to prove feasibility of new ideas and concepts. + +· Generation of highly reproducible data, data analysis and presentation of results and conclusions. + +· Participation in prototype testing and assistance in product development and commercialization efforts. + +· Migration of manually performed workflows to semi- and fully automated processes including the Company’s Adaptive focused-acoustics (AFA™) instrumentation. + +· Ability to understand and to follow Standard Operating Procedures to support day-to-day activities such as QC tests of instrumentation and reagents. + +· Examples of day-to-day tasks include but are not limited to: + +o Sample prep for the extraction of biomolecules such as nucleic acids (DNA and RNA) and protein, downstream processing and analysis, using Covaris’ proprietary AFA™ technology. + +o Analysis of nucleic acids, such as quantification using various methods, including absorption, fluorescent quantification, qPCR and digital PCR mediated assessment of quantities and quality, electrophoretic molecular weight analysis, NGS library construction. + +o Analysis of proteins, including trypsin digests, ELISA assays and fluorescent quantification. + +o Microbial and eukaryotic cell culture to develop novel sample prep workflows for manual as well as automated workflows. + +o Handling and processing of clinical specimens, such as whole blood, plasma, FFPE and fresh/frozen tissue, microbial cultures + + + + + + + +As a Successful Candidate You Will: + + + + +· Be a self-starter and need minimal daily supervision. + +· Be able to work towards given goals and deadlines. + +· Have excellent oral and written communication skills. + +· Demonstrate solid analysis skills including Excel spreadsheet based analysis and documentation, basic statistical knowledge. + +· Have experience in basic molecular biology techniques (PCR, electrophoresis, nucleic acid or protein isolation and purification). NGS experience is a plus. + +· Be knowledgeable about sterile cell cultures techniques. + +· Possess a strong team spirit and willingness to work in an inter disciplinary group of scientists and engineers. + + + + +Non-Essential Responsibilities: + + + + +In addition to the essential responsibilities listed above, the employee may be required to perform other non-essential functions. Employees are required to follow any other job-related instructions and to perform any other job-related duties requested by their supervisor. + + + + + + + +Qualifications: + + + + +· PhD or Master Degree with 3+ experience in biology, molecular biology, biochemistry, or related life science. + + + + +· Experience in industrial settings and/or basic knowledge of document controlled development processes is a plus. + + + + + + + +Reasonable Accommodation: Covaris is committed to the spirit and the letter of the Americans with Disabilities Act. All requirements are subject to possible modification to reasonably accommodate otherwise qualified individuals. + +Show more ","
+ + + + + +
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Summary: The open position presents an exciting opportunity for a Scientist with life sciences education and experience to make substantial contributions to Research and Development projects in a rapidly growing leading biotech company. The successful candidate will be part of a multi-disciplinary team that integrates expertise and experience of biologists, chemists, physicists and mechanical and electrical engineers. The candidate will support research and development of next generation consumable and instrumentation systems. This position reports to the Senior Director of R&D.


Essential Responsibilities and Position-related Expectations:


· Planning, execution and analysis of experiments to prove feasibility of new ideas and concepts.

· Generation of highly reproducible data, data analysis and presentation of results and conclusions.

· Participation in prototype testing and assistance in product development and commercialization efforts.

· Migration of manually performed workflows to semi- and fully automated processes including the Company’s Adaptive focused-acoustics (AFA™) instrumentation.

· Ability to understand and to follow Standard Operating Procedures to support day-to-day activities such as QC tests of instrumentation and reagents.

· Examples of day-to-day tasks include but are not limited to:

o Sample prep for the extraction of biomolecules such as nucleic acids (DNA and RNA) and protein, downstream processing and analysis, using Covaris’ proprietary AFA™ technology.

o Analysis of nucleic acids, such as quantification using various methods, including absorption, fluorescent quantification, qPCR and digital PCR mediated assessment of quantities and quality, electrophoretic molecular weight analysis, NGS library construction.

o Analysis of proteins, including trypsin digests, ELISA assays and fluorescent quantification.

o Microbial and eukaryotic cell culture to develop novel sample prep workflows for manual as well as automated workflows.

o Handling and processing of clinical specimens, such as whole blood, plasma, FFPE and fresh/frozen tissue, microbial cultures



As a Successful Candidate You Will:


· Be a self-starter and need minimal daily supervision.

· Be able to work towards given goals and deadlines.

· Have excellent oral and written communication skills.

· Demonstrate solid analysis skills including Excel spreadsheet based analysis and documentation, basic statistical knowledge.

· Have experience in basic molecular biology techniques (PCR, electrophoresis, nucleic acid or protein isolation and purification). NGS experience is a plus.

· Be knowledgeable about sterile cell cultures techniques.

· Possess a strong team spirit and willingness to work in an inter disciplinary group of scientists and engineers.


Non-Essential Responsibilities:


In addition to the essential responsibilities listed above, the employee may be required to perform other non-essential functions. Employees are required to follow any other job-related instructions and to perform any other job-related duties requested by their supervisor.



Qualifications:


· PhD or Master Degree with 3+ experience in biology, molecular biology, biochemistry, or related life science.


· Experience in industrial settings and/or basic knowledge of document controlled development processes is a plus.



Reasonable Accommodation: Covaris is committed to the spirit and the letter of the Americans with Disabilities Act. All requirements are subject to possible modification to reasonably accommodate otherwise qualified individuals.

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",2024-07-24,[] +3997643884,https://www.linkedin.com/jobs/view/scientist-in-vitro-disease-modeling-at-pacer-staffing-llc-3997643884?position=46&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=EWMDF6TSsugfGbMTQqfNAg%3D%3D&trk=public_jobs_jserp-result_search-card,Scientist (In-Vitro Disease Modeling),Pacer Staffing LLC,"Cambridge, MA","Job Title: Scientist (In-Vitro Disease Modeling) + +Work Location: Cambridge, MA + +Contract Duration: 24 Months + Possible Extension/Conversion + +Working Hours: Mon – Fri, 8AM – 5PM + +NOTE: Position is in Cambridge, MA. This is a lab based onsite role. Candidates must be flexible and able to accommodate the change. + +Qualifications + +Education requirements: + + +BS with 5+ years of experience/Masters with 3+ years of experience/PHD with 1+ year of experience in a wet lab setting. +Candidates with a background in muscle biology will be given preference. + + +Required Experience And Skills + + +Skilled in cell culturing and differentiation of stem cells into specific lineages. +Experience with gene manipulation technologies such as CRISPR, siRNA, ASOs, lentivirus, and AAVs. +Expertise in molecular biology techniques including RNA extraction, qPCR, ELISA/MSD, and ICC. +Critical thinking with an ability to formulate experimental strategies. +Effective in working independently and collaboratively within a team. +Outstanding verbal and written communication skills. + + +Day To Day + + +Muscle work +Heavy wet lab-based position. +Culture the cells. +Work on Assay development. +Role requires more precision to design experiments, culture cells and assay development. +Team environment +Discuss the experimental strategy with other scientists. +Develop experimental plan (discuss, analyze, and present experimental plans) +Present the data in a group meeting to other scientists. +Use ELN + + +Responsibilities + +Genome Sciences department in MRL is looking for a motivated scientist to lead the identification and validation of new genetic targets for various cardiometabolic diseases including Type 2 Diabetes (T2D), Obesity, Atherosclerosis, Retinal diseases, and vascular diseases. This individual will play a pivotal role as a member of the discovery team, contributing to the development of innovative models for screening drug targets. + +Job Responsibilities + + +Establish stem cell-based in-vitro disease platforms. +Design assays using high content imaging techniques to facilitate screening of small molecules and genetic modifications using CRISPR. +Perform lab experiments, interpret data, and effectively communicate findings. +Collaborate with cross-functional teams in therapeutic and functional areas. +Maintain electronic lab notebook and sample inventories. +Show more ","
+ + + + + +
+
+ Job Title: Scientist (In-Vitro Disease Modeling)

Work Location: Cambridge, MA

Contract Duration: 24 Months + Possible Extension/Conversion

Working Hours: Mon – Fri, 8AM – 5PM

NOTE: Position is in Cambridge, MA. This is a lab based onsite role. Candidates must be flexible and able to accommodate the change.

Qualifications

Education requirements:

  • BS with 5+ years of experience/Masters with 3+ years of experience/PHD with 1+ year of experience in a wet lab setting.
  • Candidates with a background in muscle biology will be given preference.

Required Experience And Skills

  • Skilled in cell culturing and differentiation of stem cells into specific lineages.
  • Experience with gene manipulation technologies such as CRISPR, siRNA, ASOs, lentivirus, and AAVs.
  • Expertise in molecular biology techniques including RNA extraction, qPCR, ELISA/MSD, and ICC.
  • Critical thinking with an ability to formulate experimental strategies.
  • Effective in working independently and collaboratively within a team.
  • Outstanding verbal and written communication skills.

Day To Day

  • Muscle work
  • Heavy wet lab-based position.
  • Culture the cells.
  • Work on Assay development.
  • Role requires more precision to design experiments, culture cells and assay development.
  • Team environment
  • Discuss the experimental strategy with other scientists.
  • Develop experimental plan (discuss, analyze, and present experimental plans)
  • Present the data in a group meeting to other scientists.
  • Use ELN

Responsibilities

Genome Sciences department in MRL is looking for a motivated scientist to lead the identification and validation of new genetic targets for various cardiometabolic diseases including Type 2 Diabetes (T2D), Obesity, Atherosclerosis, Retinal diseases, and vascular diseases. This individual will play a pivotal role as a member of the discovery team, contributing to the development of innovative models for screening drug targets.

Job Responsibilities

  • Establish stem cell-based in-vitro disease platforms.
  • Design assays using high content imaging techniques to facilitate screening of small molecules and genetic modifications using CRISPR.
  • Perform lab experiments, interpret data, and effectively communicate findings.
  • Collaborate with cross-functional teams in therapeutic and functional areas.
  • Maintain electronic lab notebook and sample inventories.
+
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",2024-08-09,[] +3955557397,https://www.linkedin.com/jobs/view/data-scientist-at-anduril-industries-3955557397?position=47&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=PLLqHfmYXlC5Vko%2Fem%2B8Xg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Anduril Industries,"Lexington, MA","Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. + +The Anduril Imaging team develops state-of-the-art infrared imaging systems, deployed to tackle the most significant security challenges of America and its allies. The Imaging team is seeking a Data Scientist for the WISP, Iris, and future products to analyze and mine field and simulation data to help identify ways to further improve those systems to impact mission success. + +What You'll Do + + +Perform exploratory data analysis of test data to determine drivers of sensor performance and mission success +Develop performance score cards/dashboards to summarize track accuracy and continuity metrics as well as isolate error sources +Develop data analytics tool to predict detection range performance under current weather conditions based on past data +Develop robust classifiers utilizing computer vision, target dynamics and other available information sources +Determine kill chain work flow bottlenecks for various system of systems utilizing the detection capabilities of WISP + + +Required Qualifications + + +3+ years of experience +Python (NumPy, SciPy, pandas), and/or MATLAB, SQL +Estimation Theory & Convex Optimization +Data Visualization (e.g. Plotly, Matplotlib) +Experience working with image and time series data +Classical Filters (Kalman, EKF, Unscented) +Ability to think at a system level - strong physics or math background +Excellent written and verbal communication skills +Must be eligible to obtain and maintain a U.S. Secret Security clearance + + +Preferred Qualifications + + +Machine Learning techniques +Familiarity with C++ +Experience with Nix +Experience with thermal imaging +Possess an active U.S. Security clearance + + +US Salary Range + +$138,000—$207,000 USD + +Benefits + +The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: + + +Platinum Healthcare Benefits: For U.S. roles, we offer top tier platinum coverage (medical, dental, vision) that are 100% covered by Anduril for you and 90% covered for your dependents. +For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. +For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. +Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. +Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. +16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. +Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. +Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. +A professional development stipend is available to all Andurilians. +Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. +Company-funded commuter benefits available based on your region. +Relocation assistance (depending on role eligibility). +401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) + +The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. + +Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! + +To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. +Show more ","
+ + + + + +
+
+ Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The Anduril Imaging team develops state-of-the-art infrared imaging systems, deployed to tackle the most significant security challenges of America and its allies. The Imaging team is seeking a Data Scientist for the WISP, Iris, and future products to analyze and mine field and simulation data to help identify ways to further improve those systems to impact mission success.

What You'll Do

  • Perform exploratory data analysis of test data to determine drivers of sensor performance and mission success
  • Develop performance score cards/dashboards to summarize track accuracy and continuity metrics as well as isolate error sources
  • Develop data analytics tool to predict detection range performance under current weather conditions based on past data
  • Develop robust classifiers utilizing computer vision, target dynamics and other available information sources
  • Determine kill chain work flow bottlenecks for various system of systems utilizing the detection capabilities of WISP

Required Qualifications

  • 3+ years of experience
  • Python (NumPy, SciPy, pandas), and/or MATLAB, SQL
  • Estimation Theory & Convex Optimization
  • Data Visualization (e.g. Plotly, Matplotlib)
  • Experience working with image and time series data
  • Classical Filters (Kalman, EKF, Unscented)
  • Ability to think at a system level - strong physics or math background
  • Excellent written and verbal communication skills
  • Must be eligible to obtain and maintain a U.S. Secret Security clearance

Preferred Qualifications

  • Machine Learning techniques
  • Familiarity with C++
  • Experience with Nix
  • Experience with thermal imaging
  • Possess an active U.S. Security clearance

US Salary Range

$138,000—$207,000 USD

Benefits

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

  • Platinum Healthcare Benefits: For U.S. roles, we offer top tier platinum coverage (medical, dental, vision) that are 100% covered by Anduril for you and 90% covered for your dependents.
    • For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents.
    • For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril.
  • Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents.
  • Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans.
  • 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition.
  • Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.
  • Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well.
  • A professional development stipend is available to all Andurilians.
  • Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens.
  • Company-funded commuter benefits available based on your region.
  • Relocation assistance (depending on role eligibility).
  • 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only)
The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you!

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-02,[] +3933764165,https://www.linkedin.com/jobs/view/global-coe-lead-ai-and-data-science-at-cervello-3933764165?position=48&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=%2F%2FKWK8puYAdx54pO65bj1g%3D%3D&trk=public_jobs_jserp-result_search-card,"Global COE Lead, AI and Data Science",Cervello,"Boston, MA","Summary: + +As the Global COE Lead for AI and Data Science you will lead our Data Science COE as part of the Artificial Intelligence and Data Practice. You will help to further define and develop Cervello’s methodologies, best-practices, standards, and service offerings in the areas of data analytics, data mining, artificial intelligence, and machine learning. We are looking for a strong leader with a deep background in large Enterprises develop their AI and Data Science capabilities while leading programs and implementations of various sizes. + +Qualifications: + + +15+ years of relevant experience, with a focus on building data science and artificial intelligence teams in a matrixed organization +10+ years of experience leading project teams through all phases of the project lifecycle from scoping and planning, requirements gathering, design, development, testing, and deployment +7+ years of prior project experience in leading complex data Science engagements across industries +Proven experience in building commercially viable offerings +Experience in working with strategic partners to drive revenue growth and joint marketing programs +Deep understanding and experience leading organizations and teams on data science strategy, implementation, change management, and operational processes +Experience working across leading data science platforms and with best of breed coding languages +Working knowledge of the best usage of various machine learning algorithms, statistics, and mathematics principles to employ when solving client problems +Deep knowledge of how AI and GEN AI can be applied in organizations and what is required to deliver solutions that can scale +Exceptional team building skills and not afraid to get into the weeds to help uplift teams +Proven ability to inspire and motivate teams with an entrepreneurial spirit +Strong oral and written communication skills with exceptional client-facing + + +Role Responsibilities: + +COE Strategy + + +Responsible for overall strategy of the COE and ensuring alignment with the broader company strategy +Collaborates with Cervello go-to-market and client teams to understand and support demands for COE services +Works closely with Client Account Leaders to drive account strategy and provide support on business development efforts +Aligns and partners with other practice and COE leads on cross-practice initiatives + + +Thought Leadership & Go to Market + + +Proactively Identifies areas where demand is trending that would warrant new offerings to drive growth for the firm +Actively Identifies gaps and creates positioning for new offerings, solution accelerators, points of view, and IP +Work collaboratively with sales and account teams to drive marketing outreach plans to drive market awareness and pipeline development + + +Project Delivery & Governance + + +Responsible for utilization of staff and ensures underutilized resources are engaged on GTM and / or firm building activities as needed +Serve in an advisory capacity on client engagements where needed +Creates best practices, methodologies, and frameworks that are readily available for team members to utilize as needed + + +Employee Experience + + +Responsible for all aspects of our Attracting, Recruitment, Onboarding, Growth, and Retainment of team members within COE + + +ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED + +We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving. We take our work seriously but not ourselves. It’s the perfect balance of freedom and accountability. If you want to be part of something great – join us! + +Equal Employment Opportunity and Nondiscrimination + +Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply. + +Revised 5/23/2024 +Show more ","
+ + + + + +
+
+ Summary:

As the Global COE Lead for AI and Data Science you will lead our Data Science COE as part of the Artificial Intelligence and Data Practice. You will help to further define and develop Cervello’s methodologies, best-practices, standards, and service offerings in the areas of data analytics, data mining, artificial intelligence, and machine learning. We are looking for a strong leader with a deep background in large Enterprises develop their AI and Data Science capabilities while leading programs and implementations of various sizes.

Qualifications:

  • 15+ years of relevant experience, with a focus on building data science and artificial intelligence teams in a matrixed organization
  • 10+ years of experience leading project teams through all phases of the project lifecycle from scoping and planning, requirements gathering, design, development, testing, and deployment
  • 7+ years of prior project experience in leading complex data Science engagements across industries
  • Proven experience in building commercially viable offerings
  • Experience in working with strategic partners to drive revenue growth and joint marketing programs
  • Deep understanding and experience leading organizations and teams on data science strategy, implementation, change management, and operational processes
  • Experience working across leading data science platforms and with best of breed coding languages
  • Working knowledge of the best usage of various machine learning algorithms, statistics, and mathematics principles to employ when solving client problems
  • Deep knowledge of how AI and GEN AI can be applied in organizations and what is required to deliver solutions that can scale
  • Exceptional team building skills and not afraid to get into the weeds to help uplift teams
  • Proven ability to inspire and motivate teams with an entrepreneurial spirit
  • Strong oral and written communication skills with exceptional client-facing

Role Responsibilities:

COE Strategy

  • Responsible for overall strategy of the COE and ensuring alignment with the broader company strategy
  • Collaborates with Cervello go-to-market and client teams to understand and support demands for COE services
  • Works closely with Client Account Leaders to drive account strategy and provide support on business development efforts
  • Aligns and partners with other practice and COE leads on cross-practice initiatives

Thought Leadership & Go to Market

  • Proactively Identifies areas where demand is trending that would warrant new offerings to drive growth for the firm
  • Actively Identifies gaps and creates positioning for new offerings, solution accelerators, points of view, and IP
  • Work collaboratively with sales and account teams to drive marketing outreach plans to drive market awareness and pipeline development

Project Delivery & Governance

  • Responsible for utilization of staff and ensures underutilized resources are engaged on GTM and / or firm building activities as needed
  • Serve in an advisory capacity on client engagements where needed
  • Creates best practices, methodologies, and frameworks that are readily available for team members to utilize as needed

Employee Experience

  • Responsible for all aspects of our Attracting, Recruitment, Onboarding, Growth, and Retainment of team members within COE

ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED

We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving. We take our work seriously but not ourselves. It’s the perfect balance of freedom and accountability. If you want to be part of something great – join us!

Equal Employment Opportunity and Nondiscrimination

Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.

Revised 5/23/2024 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-05,[] +3985384579,https://www.linkedin.com/jobs/view/data-scientist-blockchain-intelligence-at-cryptorecruit-3985384579?position=53&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=W%2BXf6JoOPUso8%2Fjc42kHBQ%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Blockchain Intelligence,CryptoRecruit,"Boston, MA","The company is seeking a Data Scientist to build with us and our community. Come contribute to our growing body of tools, research, and IP that make blockchain and crypto data more accessible. + +Who You Are + +�� You love data and stats. You know some formal statistics, ML, and data exploration techniques, even better if you’ve done network analysis. + +�� You love crypto and DeFi, know the difference between hodling, staking, and yield farming, and you have used both Ethereum and other chains. + +��‍�� You are self-directed. You are insatiably curious. You can be counted on to work through a project, commit and go deep while seeking help when you need it, and propel it forward without hand-holding. + +�� You are fastidious and meticulous in your work. You will put in the time to make an order from chaos. You’ve looked into the eye of Sauron and lived to make a graph. You don’t mind doing the “grunt work” to build up to the full picture, or go as low as it takes? Muckraking? More like fun-making. + +�� You're creative and you aren't afraid to be wrong. + +❄️ You are super comfortable in SQL-like databases (we use Snowflake) + +®️ You are intimately familiar with R for analysis, exploration, and model-building. And you have an opinion about data. table vs dplyr. Python is OK too, but we have a lot of R code, so you need to be comfortable there. + +��️‍�� You take pride in your code. It's readable, functional, and reproducible. You commit regularly for all the right reasons. + +��‍�� You can describe a complex problem (or solution) in a way that doesn't put people to sleep and doesn't leave them scratching their heads. + +What You'll Work On + +Work directly with the company's community, our internal analytics & data platform teams. + +Collaborate with other data scientists and analysts to explore, visualize, and validate our data. + +Work closely with our marketing team to share what we learn with the world, and educate anyone who wants to learn more. + +Support the efforts of our product teams to help transform our apps into more data-driven, web3-connected, powerful experiences for our growing base of thousands of users. + +Desired Experience + +Experience with Crypto/Blockchain is a requirement. + +Prior experience as an analyst or data scientist, working directly with database-level data, whether formally or self-taught. + +At least 2 years in a formal data science role, ideally working primarily in R + +Experience working with product & marketing teams, developers, and data engineers + +Make sure to follow us here to get our most live jobs https://www.linkedin.com/company/cryptorecruit + +Cryptorecruit are the worlds leading specialist recruiter for the blockchain/Cryptocurrency industry. We recruit positions from CEO,CTO, Project Manager, Solidity developer, frontend and Backend Blockchain developers to marketing/sales and customer service roles. Please browse our website and at www.cryptorecruit.com to search all our job vacancies. +Show more ","
+ + + + + +
+
+ The company is seeking a Data Scientist to build with us and our community. Come contribute to our growing body of tools, research, and IP that make blockchain and crypto data more accessible.

Who You Are

�� You love data and stats. You know some formal statistics, ML, and data exploration techniques, even better if you’ve done network analysis.

�� You love crypto and DeFi, know the difference between hodling, staking, and yield farming, and you have used both Ethereum and other chains.

��‍�� You are self-directed. You are insatiably curious. You can be counted on to work through a project, commit and go deep while seeking help when you need it, and propel it forward without hand-holding.

�� You are fastidious and meticulous in your work. You will put in the time to make an order from chaos. You’ve looked into the eye of Sauron and lived to make a graph. You don’t mind doing the “grunt work” to build up to the full picture, or go as low as it takes? Muckraking? More like fun-making.

�� You're creative and you aren't afraid to be wrong.

❄️ You are super comfortable in SQL-like databases (we use Snowflake)

®️ You are intimately familiar with R for analysis, exploration, and model-building. And you have an opinion about data. table vs dplyr. Python is OK too, but we have a lot of R code, so you need to be comfortable there.

��️‍�� You take pride in your code. It's readable, functional, and reproducible. You commit regularly for all the right reasons.

��‍�� You can describe a complex problem (or solution) in a way that doesn't put people to sleep and doesn't leave them scratching their heads.

What You'll Work On

Work directly with the company's community, our internal analytics & data platform teams.

Collaborate with other data scientists and analysts to explore, visualize, and validate our data.

Work closely with our marketing team to share what we learn with the world, and educate anyone who wants to learn more.

Support the efforts of our product teams to help transform our apps into more data-driven, web3-connected, powerful experiences for our growing base of thousands of users.

Desired Experience

Experience with Crypto/Blockchain is a requirement.

Prior experience as an analyst or data scientist, working directly with database-level data, whether formally or self-taught.

At least 2 years in a formal data science role, ideally working primarily in R

Experience working with product & marketing teams, developers, and data engineers

Make sure to follow us here to get our most live jobs https://www.linkedin.com/company/cryptorecruit

Cryptorecruit are the worlds leading specialist recruiter for the blockchain/Cryptocurrency industry. We recruit positions from CEO,CTO, Project Manager, Solidity developer, frontend and Backend Blockchain developers to marketing/sales and customer service roles. Please browse our website and at www.cryptorecruit.com to search all our job vacancies. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-27,[] +3980373580,https://www.linkedin.com/jobs/view/senior-machine-learning-engineer-at-lumafield-3980373580?position=54&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=wWx8XUDgQl5TDW5nvLwsnQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer,Lumafield,"Boston, MA","About Lumafield:  + +Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price.   + +Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries.  + +We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others. + +The company is headquartered in Cambridge, MA and has an office in San Francisco, CA. + + + + +About the role: + +As a Senior Machine Learning Engineer you will build the algorithms and models which solve our customers' toughest problems. You will work closely with our CT experts to understand our 2D and 3D datasets and data characteristics to design strategies that allow us to identify if the items we are scanning in our Neptune and Triton systems meet our customers’ quality criteria. Successful techniques will include analytic, computer/machine vision, and machine learning approaches. + + + + +What you'll do: +Build algorithms and models to turn 2D and 3D datasets from Lumafield Neptune and Triton systems into decision-making platforms to meet our customers’ needs +Develop and improve models for segmentation, classification, anomaly detection, and more +Guide the machine learning strategy internally and set Lumafield up for success on both customer-specific and generalized use cases +Implement production-ready code in Python for deployment onto our cloud and edge systems +Work closely with multi-disciplinary stakeholders across Engineering to design solutions and approaches to our toughest problems + + + + +About you: +PhD in Computer Vision, Machine Learning, Robotics, or related field +3+ years of experience applying machine learning in industry +Are a phenomenal technical communicator who can collaborate across discipline boundaries +Experience shipping Python code to production environments +Experience with Data Science techniques in professional environments + + + + +Bonus points for: +Postdoc in Computer Vision, Machine Learning, Robotics or related field +Track record of well-cited/awarded publications  on relevant topics +Experience with algorithmic optimization in C/C++ +Familiarity with techniques applied in medical imaging (CT, MRI) or other inverse problems + + + + + + + +Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!   + +Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!   + +In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status.  + +Reach out if you want to be a part of what we are building. + +San Francisco Applicants: Review the San Francisco Fair Chance Ordinance guidelines applicable in your area. + + + +The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant. +Show more ","
+ + + + + +
+
+

About Lumafield: 

Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price.  

Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. 

We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others.

The company is headquartered in Cambridge, MA and has an office in San Francisco, CA.


About the role:

As a Senior Machine Learning Engineer you will build the algorithms and models which solve our customers' toughest problems. You will work closely with our CT experts to understand our 2D and 3D datasets and data characteristics to design strategies that allow us to identify if the items we are scanning in our Neptune and Triton systems meet our customers’ quality criteria. Successful techniques will include analytic, computer/machine vision, and machine learning approaches.


What you'll do:
  • Build algorithms and models to turn 2D and 3D datasets from Lumafield Neptune and Triton systems into decision-making platforms to meet our customers’ needs
  • Develop and improve models for segmentation, classification, anomaly detection, and more
  • Guide the machine learning strategy internally and set Lumafield up for success on both customer-specific and generalized use cases
  • Implement production-ready code in Python for deployment onto our cloud and edge systems
  • Work closely with multi-disciplinary stakeholders across Engineering to design solutions and approaches to our toughest problems


About you:
  • PhD in Computer Vision, Machine Learning, Robotics, or related field
  • 3+ years of experience applying machine learning in industry
  • Are a phenomenal technical communicator who can collaborate across discipline boundaries
  • Experience shipping Python code to production environments
  • Experience with Data Science techniques in professional environments


Bonus points for:
  • Postdoc in Computer Vision, Machine Learning, Robotics or related field
  • Track record of well-cited/awarded publications  on relevant topics
  • Experience with algorithmic optimization in C/C++
  • Familiarity with techniques applied in medical imaging (CT, MRI) or other inverse problems



Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!  

Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!  

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. 

Reach out if you want to be a part of what we are building.

San Francisco Applicants: Review the San Francisco Fair Chance Ordinance guidelines applicable in your area.



The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-12,[] +3993623620,https://www.linkedin.com/jobs/view/research-scientist-deep-learning-for-biology-at-instadeep-3993623620?position=56&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=ZTvw2j6iJKNICcQ52854iw%3D%3D&trk=public_jobs_jserp-result_search-card,"Research Scientist, Deep learning for Biology",InstaDeep,"Boston, MA","InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. + + + + +Join us to be a part of the AI revolution! + + + + +Are you a Research Scientist/Research Engineer in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge. + + + + +Responsibilities: + +Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. +Engage and assist in the identification of research directions +Contribute to the design and implementation of models, tools and libraries to accelerate our research effort. +Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments +Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing. +Contribute to the team’s publication efforts. +Bridge the gap between the research and product teams by integrating new fundamental research into applied projects. + + + + +Required Skills: + +Ph.D. degree in Computer Science, Machine Learning or a related field. +Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax. +Experience in developing and debugging in Python3 or similar languages. +Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators) +Experience in planning and conducting research works +A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc). +Excellent communication skills and collaborative spirit. + + + + +Nice to have: + +2-5 years experience +Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions. +Reinforcement Learning, Computer Vision, or Natural Language Processing experience. + + + + +Our commitment to our people + +We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. + + + + +Right to work: Please note that you will require the legal right to work in the location you are applying for. + +Show more ","
+ + + + + +
+
+

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.


Join us to be a part of the AI revolution!


Are you a Research Scientist/Research Engineer in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge.


Responsibilities:

  • Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
  • Engage and assist in the identification of research directions
  • Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
  • Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments
  • Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing.
  • Contribute to the team’s publication efforts.
  • Bridge the gap between the research and product teams by integrating new fundamental research into applied projects.


Required Skills:

  • Ph.D. degree in Computer Science, Machine Learning or a related field.
  • Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax.
  • Experience in developing and debugging in Python3 or similar languages.
  • Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators)
  • Experience in planning and conducting research works
  • A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc).
  • Excellent communication skills and collaborative spirit.


Nice to have:

  • 2-5 years experience
  • Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
  • Reinforcement Learning, Computer Vision, or Natural Language Processing experience.


Our commitment to our people

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.


Right to work: Please note that you will require the legal right to work in the location you are applying for.

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",2024-08-07,[] +3977245282,https://www.linkedin.com/jobs/view/data-scientist-azure-and-ml%21-at-jobot-3977245282?position=57&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=rtcpv9d4elSDUdHtXM%2B4vg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist -- Azure and ML!,Jobot,"Boston, MA","Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page! + +Job details + +My client is an innovative Healthcare techonlogy company growing their Data Science team. Greenfield development on a few new features and integrations! Remote work culture on EST and Central! + +This Jobot Job is hosted by Alex Dickinson + +Are you a fit? Easy Apply now by clicking the ""Easy Apply"" button and sending us your resume. + +Salary $110,000 - $160,000 per year + +A Bit About Us + +This company is in the behavioral health space building applications that help others on their journey to better lives. + +Currently they have interesting patient care integration that is ML and AI based on this team. Great opportunity to work in a collaborative remote team with strong autonomy! + + + +Why join us? + + +100% fully paid for employee healthcare + +Remote + +Profit sharing opportunity + +Room for growth + +Early stage development and integrations from a data science perspective on a mature and profitable application! + +Job Details + +Qualifications + +4+ years of experience working as a data scientist or equivalent role. + +Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related field. + +Applied experience utilizing Cloud base tools such as Azure, AWS or Google Cloud + +Proficient with Python and one or more of the following programming languages Python. R, SQL, Scala Julia. + +Demonstrated experience in an Agile environment with Artificial Intelligence and Machine Learning/Deep Learning algorithms. + +Expertise in data extraction, transformation, and loading, data visualization, and data reporting. + +Responsibilities + +Develop and maintain predictive models, data mining algorithms and statistical analyses. + +Leverage ML and LLM technologies to draw insights from data. + +Communicate data-driven insights to key decision makers and stakeholders effectively. + +Interested in hearing more? Easy Apply now by clicking the ""Easy Apply"" button. + +Want to learn more about this role and Jobot? + +Click our Jobot logo and follow our LinkedIn page! + + +Show more ","
+ + + + + +
+
+ Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!

Job details

My client is an innovative Healthcare techonlogy company growing their Data Science team. Greenfield development on a few new features and integrations! Remote work culture on EST and Central!

This Jobot Job is hosted by Alex Dickinson

Are you a fit? Easy Apply now by clicking the ""Easy Apply"" button and sending us your resume.

Salary $110,000 - $160,000 per year

A Bit About Us

This company is in the behavioral health space building applications that help others on their journey to better lives.

Currently they have interesting patient care integration that is ML and AI based on this team. Great opportunity to work in a collaborative remote team with strong autonomy!



Why join us?


100% fully paid for employee healthcare

Remote

Profit sharing opportunity

Room for growth

Early stage development and integrations from a data science perspective on a mature and profitable application!

Job Details

Qualifications

4+ years of experience working as a data scientist or equivalent role.

Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related field.

Applied experience utilizing Cloud base tools such as Azure, AWS or Google Cloud

Proficient with Python and one or more of the following programming languages Python. R, SQL, Scala Julia.

Demonstrated experience in an Agile environment with Artificial Intelligence and Machine Learning/Deep Learning algorithms.

Expertise in data extraction, transformation, and loading, data visualization, and data reporting.

Responsibilities

Develop and maintain predictive models, data mining algorithms and statistical analyses.

Leverage ML and LLM technologies to draw insights from data.

Communicate data-driven insights to key decision makers and stakeholders effectively.

Interested in hearing more? Easy Apply now by clicking the ""Easy Apply"" button.

Want to learn more about this role and Jobot?

Click our Jobot logo and follow our LinkedIn page!

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+ + + + + + + + + + + + + + + + + + +
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",2024-08-08,[] +3888296350,https://www.linkedin.com/jobs/view/data-science-technical-lead-sleep-at-whoop-3888296350?position=60&pageNum=0&refId=rOG27vDxUmNBpSUmfr3wTQ%3D%3D&trackingId=1GxoV0rsSpQx9DUU0PfvEA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Technical Lead (Sleep),WHOOP,"Boston, MA","WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives. + +As the Data Science Technical Lead for Sleep, you’ll help develop technology at the core of the business. You’ll create, improve, and maintain algorithms that provide members with insights about their sleep. Providing the highest quality sleep tracking and analysis on sleep from a wearable is fundamental to the WHOOP experience. As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services to host the sleep algorithms. You’ll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to create novel sleep features. + +Responsibilities + + +Lead a team of data scientists in developing algorithms that power member-facing features, managing a portfolio of projects in various stages of development at any given time +Ownership of the WHOOP Sleep algorithms that identify periods of sleep, analyze data collected during sleep, and formulate insights on sleep for members +Create, improve, and maintain production services that provide analysis for sleep features in collaboration with MLOps Engineers +Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation +Conduct research on the use of wearable sensors to analyze sleep physiology and the implications of sleep parameters on performance +Design data collection studies to improve the performance of various sleep algorithms +Mentor / manage other data scientists on technical skills and paths for career growth +Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services + + +Qualifications + + +Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field +5+ years of full-time professional experience in a related area +5+ years experience applying advanced mathematical and statistical techniques +Significant experience working with time series data, preferably with sleep applications +Proficient in scientific Python and SQL +Experience deploying services and maintaining live code through logging and monitoring within a production environment +Excellent verbal and written communication skills +Prior management or mentorship experience is preferred + + +Join us in pushing the boundaries of wearable technology and positively impacting people's lives! + +This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. + +Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. + +WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility +Show more ","
+ + + + + +
+
+ WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.

As the Data Science Technical Lead for Sleep, you’ll help develop technology at the core of the business. You’ll create, improve, and maintain algorithms that provide members with insights about their sleep. Providing the highest quality sleep tracking and analysis on sleep from a wearable is fundamental to the WHOOP experience. As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services to host the sleep algorithms. You’ll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to create novel sleep features.

Responsibilities

  • Lead a team of data scientists in developing algorithms that power member-facing features, managing a portfolio of projects in various stages of development at any given time
  • Ownership of the WHOOP Sleep algorithms that identify periods of sleep, analyze data collected during sleep, and formulate insights on sleep for members
  • Create, improve, and maintain production services that provide analysis for sleep features in collaboration with MLOps Engineers
  • Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
  • Conduct research on the use of wearable sensors to analyze sleep physiology and the implications of sleep parameters on performance
  • Design data collection studies to improve the performance of various sleep algorithms
  • Mentor / manage other data scientists on technical skills and paths for career growth
  • Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

Qualifications

  • Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
  • 5+ years of full-time professional experience in a related area
  • 5+ years experience applying advanced mathematical and statistical techniques
  • Significant experience working with time series data, preferably with sleep applications
  • Proficient in scientific Python and SQL
  • Experience deploying services and maintaining live code through logging and monitoring within a production environment
  • Excellent verbal and written communication skills
  • Prior management or mentorship experience is preferred

Join us in pushing the boundaries of wearable technology and positively impacting people's lives!

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[] +3993751563,https://www.linkedin.com/jobs/view/scientist-data-science-at-flagship-pioneering-3993751563?position=1&pageNum=2&refId=oA4%2B7WCuKxUx9FlNlUj8Lg%3D%3D&trackingId=X2QtWp2s7V7wP%2B%2Ft3lHSBw%3D%3D&trk=public_jobs_jserp-result_search-card,"Scientist, Data Science",Flagship Pioneering,"Cambridge, MA","Apriori Bio is an early-stage biotechnology company with an ambitious and exciting mission: to lay the foundation for Global Pathogen Shield™ protective interventions that that can neutralize a wide range of the most dangerous and rapidly evolving infectious pathogen threats. The company is developing a revolutionary approach to this challenge and recruiting a team of top-tier scientists to build what it believes will be a powerful, first-in-category R&D platform. + +Apriori Bio was founded by Flagship Pioneering, a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com + +Job Description: + +Apriori Bio is seeking a Scientist in Data Science with a track record of developing and successfully applying analytical tools to high-throughput assays. This role is positioned at a critical interface that bridges high-throughput assays and computational methods to design variant-resilient vaccines and antibodies against infectious disease. Experience in analysis of high-throughput functional genomics assays (e.g. deep mutational scanning, barcode-based NGS assays, and other library based phenotypic assays) and data visualization is desired, as is technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics. The successful candidate will play a critical role in formulating and executing a science & technology approach that will allow the company to deliver against its near- and longer-term goals. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast-paced start-up environment. + +Roles & Responsibilities: + + +Build robust computational tools to interpret data from viral deep mutational scanning experiments and apply learnings to product design +Identify and source additional relevant external and internal datasets (e.g. viral sequence variation and phylogenetics, structural informatics) to augment the interpretation and application of viral deep mutational scanning data. +Develop data visualizations to communicate learnings from analyses +Collaborate with experimental and computational scientists to guide data analysis, interpret results, and build an iterative experimental cycle. +Work with computational and experimental scientists to establish data management practices and SOPs to improve efficiency and reproducibility +Provide technical input in support of company’s science & technology strategy and monitor progress toward key strategic goals on an ongoing basis. +Communicate insights and conclusions to colleagues in the scientific and leadership teams. + + +Qualifications: + + +PhD in computational biology, genomics, virology, immunology, or a related field. +Experience with scientific or quantitative computing (python preferred), bash scripting, and relational databases +Experience in implementing best practices in reproducible scientific computing (git, documentation, object-oriented programming, etc.) +Experience in exploratory data analysis, statistics, and statistical inference (such as machine learning, Bayesian inference, etc.) +Demonstrated success in analyzing high-throughput functional assays +Experience with protein engineering, viral antibody responses or vaccine design, phylogenetics and/or analysis of viral sequence variation. +Ability to work in and adapt to a fast-paced environment + + +Preferred Qualifications: + + +Previous work with viral entry proteins, biological sequence or protein structure datasets, or computational vaccine design +Demonstrated experience developing dashboards, visualization and/or phylogenetic software. +Experience with bioinformatics (i.e. snakemake/nextflow, samtools)and data engineering (i.e., SQL/noSQL) tools +Familiarity with collaborative data science environments, such as jupyterhub, databricks, sagemaker, dataiku, or alteryx + + +Values and Behaviors + +We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidate. + +At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. + +Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +Show more ","
+ + + + + +
+
+ Apriori Bio is an early-stage biotechnology company with an ambitious and exciting mission: to lay the foundation for Global Pathogen Shield™ protective interventions that that can neutralize a wide range of the most dangerous and rapidly evolving infectious pathogen threats. The company is developing a revolutionary approach to this challenge and recruiting a team of top-tier scientists to build what it believes will be a powerful, first-in-category R&D platform.

Apriori Bio was founded by Flagship Pioneering, a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com

Job Description:

Apriori Bio is seeking a Scientist in Data Science with a track record of developing and successfully applying analytical tools to high-throughput assays. This role is positioned at a critical interface that bridges high-throughput assays and computational methods to design variant-resilient vaccines and antibodies against infectious disease. Experience in analysis of high-throughput functional genomics assays (e.g. deep mutational scanning, barcode-based NGS assays, and other library based phenotypic assays) and data visualization is desired, as is technical expertise in protein engineering or structure, virology, vaccinology, viral phylogenetics and/or viral phylodynamics. The successful candidate will play a critical role in formulating and executing a science & technology approach that will allow the company to deliver against its near- and longer-term goals. This individual will join a dynamic, rapidly growing and collaborative team, and should also be comfortable in a fast-paced start-up environment.

Roles & Responsibilities:

  • Build robust computational tools to interpret data from viral deep mutational scanning experiments and apply learnings to product design
  • Identify and source additional relevant external and internal datasets (e.g. viral sequence variation and phylogenetics, structural informatics) to augment the interpretation and application of viral deep mutational scanning data.
  • Develop data visualizations to communicate learnings from analyses
  • Collaborate with experimental and computational scientists to guide data analysis, interpret results, and build an iterative experimental cycle.
  • Work with computational and experimental scientists to establish data management practices and SOPs to improve efficiency and reproducibility
  • Provide technical input in support of company’s science & technology strategy and monitor progress toward key strategic goals on an ongoing basis.
  • Communicate insights and conclusions to colleagues in the scientific and leadership teams.

Qualifications:

  • PhD in computational biology, genomics, virology, immunology, or a related field.
  • Experience with scientific or quantitative computing (python preferred), bash scripting, and relational databases
  • Experience in implementing best practices in reproducible scientific computing (git, documentation, object-oriented programming, etc.)
  • Experience in exploratory data analysis, statistics, and statistical inference (such as machine learning, Bayesian inference, etc.)
  • Demonstrated success in analyzing high-throughput functional assays
  • Experience with protein engineering, viral antibody responses or vaccine design, phylogenetics and/or analysis of viral sequence variation.
  • Ability to work in and adapt to a fast-paced environment

Preferred Qualifications:

  • Previous work with viral entry proteins, biological sequence or protein structure datasets, or computational vaccine design
  • Demonstrated experience developing dashboards, visualization and/or phylogenetic software.
  • Experience with bioinformatics (i.e. snakemake/nextflow, samtools)and data engineering (i.e., SQL/noSQL) tools
  • Familiarity with collaborative data science environments, such as jupyterhub, databricks, sagemaker, dataiku, or alteryx

Values and Behaviors

We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidate.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-06,[] +3996315706,https://www.linkedin.com/jobs/view/machine-learning-operations-engineer-at-flagship-pioneering-3996315706?position=2&pageNum=2&refId=oA4%2B7WCuKxUx9FlNlUj8Lg%3D%3D&trackingId=NTek48tGdpG9lqAI93vqmA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning Operations Engineer,Flagship Pioneering,"Cambridge, MA","Company Summary + +Flagship Labs 97 Inc. (FL97) is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. FL97 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science. + +Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. + +At FL97, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. + +If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply. + +The Role + +FL97 is seeking a dedicated and skilled Machine Learning Operations Engineer (ML Ops) to join our team. This role will focus on building and maintaining private cloud infrastructure used to train large scale machine learning models. You will be part of a dynamic, cross-functional team responsible for developing new artificial intelligence models that push the frontier of science. Working closely with biologists, bioinformaticians, software developers, machine learning scientists and automation engineers, you will contribute to the development of ML models for a range of scientific applications. The ideal candidate has a strong background in machine learning, as well as either experience in biotech industry or a record of scientific achievement, with a focus on MLOps, model training, and deployment. + +Responsibilities include: + + +Developing and managing a large cloud-based cluster with >100 GPUs in support of FL 97 machine learning scientists (help make the GPUs go brr). +Implementing MLOps practices to streamline the model development and deployment process. +Collaborating with cross-functional teams to integrate ML models into the data pipelines for our labs. +Implementing rigorous testing, documentation, and performance benchmarking. + + +Qualifications: + + +Master's degree (or equivalent experience) in computer science, computational biology, physics, or other quantitative disciplines +Experience managing Kubernetes clusters with kubectl on cloud-based GPU infrastructure such as Lamda Labs or AWS +Experience with MLOps practices and tools including version control, automated testing, and CI/CD +Experience with GPU accelerated ML computing in at least pytorch and robust experience in the Python data science ecosystem. +Knowledge of additional high-performance libraries like Accelerate, DeepSpeed, etc is a plus +Experience with managing large, containerized multi-GPU training runs for large language models on Ray, Dask, Kueue, or Slurm or similar libraries. + + +Working at FL97, you would have access to advanced technology in the areas of: + + +AI experimental design and simulation +Automated custom instrumentation +Generative molecular and material design + + +More About Flagship Pioneering + +Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com. + +Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. + +At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. + +Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +Show more ","
+ + + + + +
+
+ Company Summary

Flagship Labs 97 Inc. (FL97) is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. FL97 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.

Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities.

At FL97, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

The Role

FL97 is seeking a dedicated and skilled Machine Learning Operations Engineer (ML Ops) to join our team. This role will focus on building and maintaining private cloud infrastructure used to train large scale machine learning models. You will be part of a dynamic, cross-functional team responsible for developing new artificial intelligence models that push the frontier of science. Working closely with biologists, bioinformaticians, software developers, machine learning scientists and automation engineers, you will contribute to the development of ML models for a range of scientific applications. The ideal candidate has a strong background in machine learning, as well as either experience in biotech industry or a record of scientific achievement, with a focus on MLOps, model training, and deployment.

Responsibilities include:

  • Developing and managing a large cloud-based cluster with >100 GPUs in support of FL 97 machine learning scientists (help make the GPUs go brr).
  • Implementing MLOps practices to streamline the model development and deployment process.
  • Collaborating with cross-functional teams to integrate ML models into the data pipelines for our labs.
  • Implementing rigorous testing, documentation, and performance benchmarking.

Qualifications:

  • Master's degree (or equivalent experience) in computer science, computational biology, physics, or other quantitative disciplines
  • Experience managing Kubernetes clusters with kubectl on cloud-based GPU infrastructure such as Lamda Labs or AWS
  • Experience with MLOps practices and tools including version control, automated testing, and CI/CD
  • Experience with GPU accelerated ML computing in at least pytorch and robust experience in the Python data science ecosystem.
  • Knowledge of additional high-performance libraries like Accelerate, DeepSpeed, etc is a plus
  • Experience with managing large, containerized multi-GPU training runs for large language models on Ray, Dask, Kueue, or Slurm or similar libraries.

Working at FL97, you would have access to advanced technology in the areas of:

  • AI experimental design and simulation
  • Automated custom instrumentation
  • Generative molecular and material design

More About Flagship Pioneering

Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-09,[] +3995722700,https://www.linkedin.com/jobs/view/data-scientist-at-similarweb-3995722700?position=6&pageNum=2&refId=oA4%2B7WCuKxUx9FlNlUj8Lg%3D%3D&trackingId=j2VM9bWKTV9zQ9N68e7dOA%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Similarweb,"Burlington, MA","At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. + +Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. + +In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people. + +We’re looking for a Data Analyst / Data Scientist to partner with our consulting team by delivering best-in-class data analysis for research projects for prospective and existing clients, and driving value for clients’ strategic business needs. + +This role will report to the Research Analytics Manager of Data Labs. + +Why is this role so important at Similarweb? + +Similarweb is more than just a data provider. We develop long-term and collaborative partnerships with our clients, and are constantly striving to help them make better business decisions using our data. One of the ways we do this is through our advisory services. + +As a Data Analyst, you will work with our team of Advisory Services Consultants and Data Engineering team, to create customized data analyses using Similarweb data. + +Your data analysis will support our prospective clients’ and existing clients’ strategic business needs, and help the business increase and retain customers. + +So, what will you be doing all day? + +Your role as part of the Data Labs Team means your daily responsibilities may include: + + +Partnering with our in-house consultants and GTM teams to scope out custom data analysis projects for client +Building models and utilizing sophisticated technology such as web scraping and AI to enrich datasets to target client pain points +Collaborating with Data Engineering to ensure the existence of use-case specific data, and estimating the availability and effort required to produce specific custom reports +Preparing and communicating customized data analysis to advisory services consultant, to ensure successful delivery to clients + + +This Is The Perfect Job For Someone Who + + +Demonstrates advanced proficiency in data analysis (Python, Excel, Tableau, SQL) +Can use their analytical skills to drive business impact +Has a general understanding of digital marketing trends +Has experience in client-facing roles (preferred) +Has experience working collectively with other teams and stakeholders to accomplish business goals +Is able to apply relevant industry knowledge to solve specific client business needs, and demonstrate value within individual client use cases + + +**At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.** + +Why You’ll Love Being a Similarwebber + +You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. + +You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. + +We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. + +You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. + +Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. + +We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: https://www.similarweb.com/corp/legal/applicant-privacy-policies/ + + +Please note: We’re unable to sponsor employment visas at this time.* + + +We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here . + + +Show more ","
+ + + + + +
+
+ At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

We’re looking for a Data Analyst / Data Scientist to partner with our consulting team by delivering best-in-class data analysis for research projects for prospective and existing clients, and driving value for clients’ strategic business needs.

This role will report to the Research Analytics Manager of Data Labs.

Why is this role so important at Similarweb?

Similarweb is more than just a data provider. We develop long-term and collaborative partnerships with our clients, and are constantly striving to help them make better business decisions using our data. One of the ways we do this is through our advisory services.

As a Data Analyst, you will work with our team of Advisory Services Consultants and Data Engineering team, to create customized data analyses using Similarweb data.

Your data analysis will support our prospective clients’ and existing clients’ strategic business needs, and help the business increase and retain customers.

So, what will you be doing all day?

Your role as part of the Data Labs Team means your daily responsibilities may include:

  • Partnering with our in-house consultants and GTM teams to scope out custom data analysis projects for client
  • Building models and utilizing sophisticated technology such as web scraping and AI to enrich datasets to target client pain points
  • Collaborating with Data Engineering to ensure the existence of use-case specific data, and estimating the availability and effort required to produce specific custom reports
  • Preparing and communicating customized data analysis to advisory services consultant, to ensure successful delivery to clients

This Is The Perfect Job For Someone Who

  • Demonstrates advanced proficiency in data analysis (Python, Excel, Tableau, SQL)
  • Can use their analytical skills to drive business impact
  • Has a general understanding of digital marketing trends
  • Has experience in client-facing roles (preferred)
  • Has experience working collectively with other teams and stakeholders to accomplish business goals
  • Is able to apply relevant industry knowledge to solve specific client business needs, and demonstrate value within individual client use cases

**At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.**

Why You’ll Love Being a Similarwebber

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: https://www.similarweb.com/corp/legal/applicant-privacy-policies/

  • Please note: We’re unable to sponsor employment visas at this time.*

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3989589624,https://www.linkedin.com/jobs/view/data-scientist-at-sentient-search-3989589624?position=9&pageNum=2&refId=oA4%2B7WCuKxUx9FlNlUj8Lg%3D%3D&trackingId=UCu%2B8u8LQXdnE3fKM7Xnxg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist,Sentient Search,"Boston, MA","Sentient Search are exclusively partnered with an innovative Financial Services company, who are currently seeking an exceptional Data scientist to join their team to advance their data science & ML capabilities. + + + + +Please note this is a hybrid role & requires to be on-site 2 days per week. + + + + +Requirements: + + + + +A Degree in Computer Engineering, Data Science or a related field. +4+ years experience within Data Science +Python & SQL +LLM's +Experience in Graph AI or Knowledge Graphs is essential +Experience within the Finance industry is preferred + + + + +Apply now to find out more! + +Show more ","
+ + + + + +
+
+

Sentient Search are exclusively partnered with an innovative Financial Services company, who are currently seeking an exceptional Data scientist to join their team to advance their data science & ML capabilities.


Please note this is a hybrid role & requires to be on-site 2 days per week.


Requirements:


  • A Degree in Computer Engineering, Data Science or a related field.
  • 4+ years experience within Data Science
  • Python & SQL
  • LLM's
  • Experience in Graph AI or Knowledge Graphs is essential
  • Experience within the Finance industry is preferred


Apply now to find out more!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-01,[] +3936963550,https://www.linkedin.com/jobs/view/machine-learning-ai-engineer-at-amd-3936963550?position=10&pageNum=2&refId=oA4%2B7WCuKxUx9FlNlUj8Lg%3D%3D&trackingId=0x8y55eBf%2FPjQxmU9UVXhA%3D%3D&trk=public_jobs_jserp-result_search-card,Machine Learning/AI Engineer,AMD,"Boxborough, MA","WHAT YOU DO AT AMD CHANGES EVERYTHING + +We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. + +AMD together we advance_ + +Job Description + +We are currently seeking an Experienced Machine Learning/AI Engineer to join our expanding team at AMD, Inc. In this role, you will have the opportunity to make a significant impact by developing, implementing, and improving AI and machine learning solutions across our technology and product offerings. Your expertise in AI and machine learning, as well as your passion for innovation, will play a key role in AMD's continued growth and success. + +Responsibilities + + +Develop and implement machine learning and artificial intelligence models, algorithms, and systems tailored to specific project goals and requirements. +Collaborate effectively with cross-functional teams, including product managers, researchers, hardware engineers, and software developers to deliver comprehensive AI solutions. +Continuously explore, evaluate, and implement cutting-edge techniques and methodologies to enhance product performance and develop new features. +Optimize machine learning models to ensure efficient deployment on AMD hardware and software platforms. +Monitor the performance of deployed models, maintain, and update as necessary, and troubleshoot any related issues. +Stay current on the latest advancements in the field of AI and machine learning, sharing knowledge and insights within the organization to foster a culture of innovation. + + + +Requirements + + +Professional experience in AI/ML engineering, with a proven track record of successful projects. +Strong understanding of AI/ML concepts and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, and probabilistic graphical models. +Hands-on experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and Scikit-learn. +Proficient in programming languages such as Python, C++, and Java. +Familiarity with AMD's hardware (GPU, CPU, and APU) and software (ROCm, OpenCL, HIP) platforms is a plus. +Strong analytical, problem-solving, and critical-thinking skills, with the ability to work independently and as part of a team. +Excellent written and verbal communication skills, with the ability to effectively communicate complex concepts to a diverse audience. + + + +Academic Credentials + + +Bachelor's degree in computer science, Computer Engineering, or a related field; advanced degree (MS or Ph.D.) preferred. + + + +Location: Boxborough, MA + +At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. + +AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. + + +Show more ","
+ + + + + +
+
+ WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

Job Description

We are currently seeking an Experienced Machine Learning/AI Engineer to join our expanding team at AMD, Inc. In this role, you will have the opportunity to make a significant impact by developing, implementing, and improving AI and machine learning solutions across our technology and product offerings. Your expertise in AI and machine learning, as well as your passion for innovation, will play a key role in AMD's continued growth and success.

Responsibilities

  • Develop and implement machine learning and artificial intelligence models, algorithms, and systems tailored to specific project goals and requirements.
  • Collaborate effectively with cross-functional teams, including product managers, researchers, hardware engineers, and software developers to deliver comprehensive AI solutions.
  • Continuously explore, evaluate, and implement cutting-edge techniques and methodologies to enhance product performance and develop new features.
  • Optimize machine learning models to ensure efficient deployment on AMD hardware and software platforms.
  • Monitor the performance of deployed models, maintain, and update as necessary, and troubleshoot any related issues.
  • Stay current on the latest advancements in the field of AI and machine learning, sharing knowledge and insights within the organization to foster a culture of innovation.


Requirements

  • Professional experience in AI/ML engineering, with a proven track record of successful projects.
  • Strong understanding of AI/ML concepts and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, and probabilistic graphical models.
  • Hands-on experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and Scikit-learn.
  • Proficient in programming languages such as Python, C++, and Java.
  • Familiarity with AMD's hardware (GPU, CPU, and APU) and software (ROCm, OpenCL, HIP) platforms is a plus.
  • Strong analytical, problem-solving, and critical-thinking skills, with the ability to work independently and as part of a team.
  • Excellent written and verbal communication skills, with the ability to effectively communicate complex concepts to a diverse audience.


Academic Credentials

  • Bachelor's degree in computer science, Computer Engineering, or a related field; advanced degree (MS or Ph.D.) preferred.


Location: Boxborough, MA

At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

 +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-04,[] +3987279020,https://www.linkedin.com/jobs/view/senior-data-scientist-at-signify-technology-3987279020?position=2&pageNum=5&refId=QS2aaZX1up2A%2FCTxNPAlVw%3D%3D&trackingId=2UkxDFOc44d8xKYathZ5QQ%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Data Scientist,Signify Technology,"Boston, MA","Senior Principal Data Scientist - PERM + +Boston, Massachusetts - Office/WFH. + +No sponsorship from the end client. + + + + +Working for a client who are pioneering the future of healthcare by harnessing the power of AI and machine learning. Located in Boston, they specialise in leveraging cutting-edge AI technologies to transform patient care and support diagnoses. The mission is to revolutionize healthcare through intelligent data solutions that deliver precision medicine and enhanced health outcomes. + + + + +Position Overview: + +We are on the lookout for a forward-thinking Senior Principal Data Scientist with deep expertise in AI to lead our next-generation data science initiatives. In this pivotal role, you will spearhead the development of advanced AI models and algorithms to tackle complex healthcare challenges. Your strategic vision and technical leadership will be instrumental in advancing the AI capabilities and shaping the future of healthtech. + + + + +Key Responsibilities: + +AI Strategy Leadership +Cutting-Edge AI Development +Interdisciplinary Collaboration +Mentorship and Team Development +Data Integrity and Compliance + + + + +Experience: + +8-10 years of experience in data science with a strong emphasis on AI and machine learning. +Advanced proficiency in machine learning, deep learning, and AI algorithms. +Establish and articulate a clear vision for leveraging Generative AI (GenAI) to drive innovation, efficiency, and competitive advantage within the organization. +Expertise in programming languages such as Python, R, or Scala. +Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Spark, Hadoop) is advantageous. +Advanced analytical and critical-thinking skills. Proven ability to handle complex and unstructured data to drive impactful outcomes. + + + + +We make an active choice to be inclusive towards everyone every day. Let us know if you have any accessibility requirements or would like to apply for this role another way by emailing: chloe.gray-upton@signify-tech.com + +Show more ","
+ + + + + +
+
+

Senior Principal Data Scientist - PERM

Boston, Massachusetts - Office/WFH.

No sponsorship from the end client.


Working for a client who are pioneering the future of healthcare by harnessing the power of AI and machine learning. Located in Boston, they specialise in leveraging cutting-edge AI technologies to transform patient care and support diagnoses. The mission is to revolutionize healthcare through intelligent data solutions that deliver precision medicine and enhanced health outcomes.


Position Overview:

We are on the lookout for a forward-thinking Senior Principal Data Scientist with deep expertise in AI to lead our next-generation data science initiatives. In this pivotal role, you will spearhead the development of advanced AI models and algorithms to tackle complex healthcare challenges. Your strategic vision and technical leadership will be instrumental in advancing the AI capabilities and shaping the future of healthtech.


Key Responsibilities:

  • AI Strategy Leadership
  • Cutting-Edge AI Development
  • Interdisciplinary Collaboration
  • Mentorship and Team Development
  • Data Integrity and Compliance


Experience:

  • 8-10 years of experience in data science with a strong emphasis on AI and machine learning.
  • Advanced proficiency in machine learning, deep learning, and AI algorithms.
  • Establish and articulate a clear vision for leveraging Generative AI (GenAI) to drive innovation, efficiency, and competitive advantage within the organization.
  • Expertise in programming languages such as Python, R, or Scala.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Spark, Hadoop) is advantageous.
  • Advanced analytical and critical-thinking skills. Proven ability to handle complex and unstructured data to drive impactful outcomes.


We make an active choice to be inclusive towards everyone every day. Let us know if you have any accessibility requirements or would like to apply for this role another way by emailing: chloe.gray-upton@signify-tech.com

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-29,[] +3985384579,https://www.linkedin.com/jobs/view/data-scientist-blockchain-intelligence-at-cryptorecruit-3985384579?position=3&pageNum=5&refId=QS2aaZX1up2A%2FCTxNPAlVw%3D%3D&trackingId=%2F9KgD44d4Rj6p5Twg%2B2Z9Q%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist - Blockchain Intelligence,CryptoRecruit,"Boston, MA","The company is seeking a Data Scientist to build with us and our community. Come contribute to our growing body of tools, research, and IP that make blockchain and crypto data more accessible. + +Who You Are + +�� You love data and stats. You know some formal statistics, ML, and data exploration techniques, even better if you’ve done network analysis. + +�� You love crypto and DeFi, know the difference between hodling, staking, and yield farming, and you have used both Ethereum and other chains. + +��‍�� You are self-directed. You are insatiably curious. You can be counted on to work through a project, commit and go deep while seeking help when you need it, and propel it forward without hand-holding. + +�� You are fastidious and meticulous in your work. You will put in the time to make an order from chaos. You’ve looked into the eye of Sauron and lived to make a graph. You don’t mind doing the “grunt work” to build up to the full picture, or go as low as it takes? Muckraking? More like fun-making. + +�� You're creative and you aren't afraid to be wrong. + +❄️ You are super comfortable in SQL-like databases (we use Snowflake) + +®️ You are intimately familiar with R for analysis, exploration, and model-building. And you have an opinion about data. table vs dplyr. Python is OK too, but we have a lot of R code, so you need to be comfortable there. + +��️‍�� You take pride in your code. It's readable, functional, and reproducible. You commit regularly for all the right reasons. + +��‍�� You can describe a complex problem (or solution) in a way that doesn't put people to sleep and doesn't leave them scratching their heads. + +What You'll Work On + +Work directly with the company's community, our internal analytics & data platform teams. + +Collaborate with other data scientists and analysts to explore, visualize, and validate our data. + +Work closely with our marketing team to share what we learn with the world, and educate anyone who wants to learn more. + +Support the efforts of our product teams to help transform our apps into more data-driven, web3-connected, powerful experiences for our growing base of thousands of users. + +Desired Experience + +Experience with Crypto/Blockchain is a requirement. + +Prior experience as an analyst or data scientist, working directly with database-level data, whether formally or self-taught. + +At least 2 years in a formal data science role, ideally working primarily in R + +Experience working with product & marketing teams, developers, and data engineers + +Make sure to follow us here to get our most live jobs https://www.linkedin.com/company/cryptorecruit + +Cryptorecruit are the worlds leading specialist recruiter for the blockchain/Cryptocurrency industry. We recruit positions from CEO,CTO, Project Manager, Solidity developer, frontend and Backend Blockchain developers to marketing/sales and customer service roles. Please browse our website and at www.cryptorecruit.com to search all our job vacancies. +Show more ","
+ + + + + +
+
+ The company is seeking a Data Scientist to build with us and our community. Come contribute to our growing body of tools, research, and IP that make blockchain and crypto data more accessible.

Who You Are

�� You love data and stats. You know some formal statistics, ML, and data exploration techniques, even better if you’ve done network analysis.

�� You love crypto and DeFi, know the difference between hodling, staking, and yield farming, and you have used both Ethereum and other chains.

��‍�� You are self-directed. You are insatiably curious. You can be counted on to work through a project, commit and go deep while seeking help when you need it, and propel it forward without hand-holding.

�� You are fastidious and meticulous in your work. You will put in the time to make an order from chaos. You’ve looked into the eye of Sauron and lived to make a graph. You don’t mind doing the “grunt work” to build up to the full picture, or go as low as it takes? Muckraking? More like fun-making.

�� You're creative and you aren't afraid to be wrong.

❄️ You are super comfortable in SQL-like databases (we use Snowflake)

®️ You are intimately familiar with R for analysis, exploration, and model-building. And you have an opinion about data. table vs dplyr. Python is OK too, but we have a lot of R code, so you need to be comfortable there.

��️‍�� You take pride in your code. It's readable, functional, and reproducible. You commit regularly for all the right reasons.

��‍�� You can describe a complex problem (or solution) in a way that doesn't put people to sleep and doesn't leave them scratching their heads.

What You'll Work On

Work directly with the company's community, our internal analytics & data platform teams.

Collaborate with other data scientists and analysts to explore, visualize, and validate our data.

Work closely with our marketing team to share what we learn with the world, and educate anyone who wants to learn more.

Support the efforts of our product teams to help transform our apps into more data-driven, web3-connected, powerful experiences for our growing base of thousands of users.

Desired Experience

Experience with Crypto/Blockchain is a requirement.

Prior experience as an analyst or data scientist, working directly with database-level data, whether formally or self-taught.

At least 2 years in a formal data science role, ideally working primarily in R

Experience working with product & marketing teams, developers, and data engineers

Make sure to follow us here to get our most live jobs https://www.linkedin.com/company/cryptorecruit

Cryptorecruit are the worlds leading specialist recruiter for the blockchain/Cryptocurrency industry. We recruit positions from CEO,CTO, Project Manager, Solidity developer, frontend and Backend Blockchain developers to marketing/sales and customer service roles. Please browse our website and at www.cryptorecruit.com to search all our job vacancies. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-27,[] +3980373580,https://www.linkedin.com/jobs/view/senior-machine-learning-engineer-at-lumafield-3980373580?position=4&pageNum=5&refId=QS2aaZX1up2A%2FCTxNPAlVw%3D%3D&trackingId=inyV5stuqOehQMW%2Fx2sJig%3D%3D&trk=public_jobs_jserp-result_search-card,Senior Machine Learning Engineer,Lumafield,"Boston, MA","About Lumafield:  + +Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price.   + +Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries.  + +We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others. + +The company is headquartered in Cambridge, MA and has an office in San Francisco, CA. + + + + +About the role: + +As a Senior Machine Learning Engineer you will build the algorithms and models which solve our customers' toughest problems. You will work closely with our CT experts to understand our 2D and 3D datasets and data characteristics to design strategies that allow us to identify if the items we are scanning in our Neptune and Triton systems meet our customers’ quality criteria. Successful techniques will include analytic, computer/machine vision, and machine learning approaches. + + + + +What you'll do: +Build algorithms and models to turn 2D and 3D datasets from Lumafield Neptune and Triton systems into decision-making platforms to meet our customers’ needs +Develop and improve models for segmentation, classification, anomaly detection, and more +Guide the machine learning strategy internally and set Lumafield up for success on both customer-specific and generalized use cases +Implement production-ready code in Python for deployment onto our cloud and edge systems +Work closely with multi-disciplinary stakeholders across Engineering to design solutions and approaches to our toughest problems + + + + +About you: +PhD in Computer Vision, Machine Learning, Robotics, or related field +3+ years of experience applying machine learning in industry +Are a phenomenal technical communicator who can collaborate across discipline boundaries +Experience shipping Python code to production environments +Experience with Data Science techniques in professional environments + + + + +Bonus points for: +Postdoc in Computer Vision, Machine Learning, Robotics or related field +Track record of well-cited/awarded publications  on relevant topics +Experience with algorithmic optimization in C/C++ +Familiarity with techniques applied in medical imaging (CT, MRI) or other inverse problems + + + + + + + +Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!   + +Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!   + +In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status.  + +Reach out if you want to be a part of what we are building. + +San Francisco Applicants: Review the San Francisco Fair Chance Ordinance guidelines applicable in your area. + + + +The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant. +Show more ","
+ + + + + +
+
+

About Lumafield: 

Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price.  

Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. 

We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others.

The company is headquartered in Cambridge, MA and has an office in San Francisco, CA.


About the role:

As a Senior Machine Learning Engineer you will build the algorithms and models which solve our customers' toughest problems. You will work closely with our CT experts to understand our 2D and 3D datasets and data characteristics to design strategies that allow us to identify if the items we are scanning in our Neptune and Triton systems meet our customers’ quality criteria. Successful techniques will include analytic, computer/machine vision, and machine learning approaches.


What you'll do:
  • Build algorithms and models to turn 2D and 3D datasets from Lumafield Neptune and Triton systems into decision-making platforms to meet our customers’ needs
  • Develop and improve models for segmentation, classification, anomaly detection, and more
  • Guide the machine learning strategy internally and set Lumafield up for success on both customer-specific and generalized use cases
  • Implement production-ready code in Python for deployment onto our cloud and edge systems
  • Work closely with multi-disciplinary stakeholders across Engineering to design solutions and approaches to our toughest problems


About you:
  • PhD in Computer Vision, Machine Learning, Robotics, or related field
  • 3+ years of experience applying machine learning in industry
  • Are a phenomenal technical communicator who can collaborate across discipline boundaries
  • Experience shipping Python code to production environments
  • Experience with Data Science techniques in professional environments


Bonus points for:
  • Postdoc in Computer Vision, Machine Learning, Robotics or related field
  • Track record of well-cited/awarded publications  on relevant topics
  • Experience with algorithmic optimization in C/C++
  • Familiarity with techniques applied in medical imaging (CT, MRI) or other inverse problems



Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!  

Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you!  

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. 

Reach out if you want to be a part of what we are building.

San Francisco Applicants: Review the San Francisco Fair Chance Ordinance guidelines applicable in your area.



The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-12,[] +3988480158,https://www.linkedin.com/jobs/view/contract-data-scientist-at-sarepta-therapeutics-3988480158?position=5&pageNum=5&refId=QS2aaZX1up2A%2FCTxNPAlVw%3D%3D&trackingId=zz9EQqzBN7Dv2v4n5f7Fvg%3D%3D&trk=public_jobs_jserp-result_search-card,Contract Data Scientist,Sarepta Therapeutics,"Cambridge, MA","The data scientist role at Sarepta is an exciting opportunity for someone with strong data science and visualization skills who wants to see their work directly impact patient care. In this hands-on role, the data scientist will support the data cleaning, processing, and building of R Shiny dashboards to visualize internal and external biological data and perform interactive analytics. You will get exposure to the entire drug development process and collaborate with other data scientists, computational biologists, and scientists in the organization. It is a fantastic opportunity to work at the forefront of precision genetic medicine, impacting the development of transformative therapies that may change patient’s lives. + +Primary Responsibilities Include + + +Support the development of databases and organize datasets, and make them easily accessible to support R&D programs +Clean, restructure, and enrich new datasets and perform exploratory analysis to determine data quality and usability +Collaborate cross-functionally to manage data warehousing and cloud infrastructure, and ensure compliance where necessary +Develop interactive applications and visual dashboards using R Shiny +Troubleshoot system environment, software, and workflow problems related to the deployment and operations of database and analytic pipelines +Create and maintain robust documentation of datasets, data workflow, and data dashboard +Adhere to data governance policies, regulatory requirements, licensing policies, and other industry best practices for data handling, coding, and application development. +Maintain and develop a well-documented codebase and documentation for all developments relating to data dashboards +Perform additional related tasks as assigned. + + +Desired Education And Skills + + +BS/ MS in a STEM discipline with prior data science experience. BS with 5+ years of hands-on experience in the biotech/pharmaceutical industry or MS with 3+ years of professional experience. A background in RNA therapeutics, gene editing, or gene therapy is preferred. +Advanced programming/ scripting abilities in R is required. The ability to code in other languages is a plus. +Expertise in building data dashboards with R Shiny is required. Experience with Power BI and Tableau would be a plus. +Experience in data wrangling and data visualization with R packages such as dplyr, data.table, ggplot2, plotly +Experience working with cloud computing services, database systems, workflow management systems, and development tools in a production environment: AWS, Docker, Nextflow, GitLab, database technologies, and API standards +Proficiency in designing relational and non-relational schemas and queries to capture and represent multi-type data. Hands-on experience using SQL is desired (MySQL, Postgres, DuckDB etc.). +Experience developing and maintaining data warehouses using Snowflake +Experience in programmatically interfacing with the database via APIs, FTPs, or remote servers. +Basic understanding of Linux shell (bash, ssh, file management, dependency management, etc.) +Ability to effectively communicate and work with a multidisciplinary team including chemists, biologists, geneticists, data scientists, and clinical scientists, to complete scientific projects. +Background knowledge in RNA therapeutics, gene editing, and gene therapy technologies is a strong plus. +Experience with FAIR and tidy data principles is preferred. +Strong team player, excellent communicator, and continuous learner +Show more ","
+ + + + + +
+
+ The data scientist role at Sarepta is an exciting opportunity for someone with strong data science and visualization skills who wants to see their work directly impact patient care. In this hands-on role, the data scientist will support the data cleaning, processing, and building of R Shiny dashboards to visualize internal and external biological data and perform interactive analytics. You will get exposure to the entire drug development process and collaborate with other data scientists, computational biologists, and scientists in the organization. It is a fantastic opportunity to work at the forefront of precision genetic medicine, impacting the development of transformative therapies that may change patient’s lives.

Primary Responsibilities Include

  • Support the development of databases and organize datasets, and make them easily accessible to support R&D programs
  • Clean, restructure, and enrich new datasets and perform exploratory analysis to determine data quality and usability
  • Collaborate cross-functionally to manage data warehousing and cloud infrastructure, and ensure compliance where necessary
  • Develop interactive applications and visual dashboards using R Shiny
  • Troubleshoot system environment, software, and workflow problems related to the deployment and operations of database and analytic pipelines
  • Create and maintain robust documentation of datasets, data workflow, and data dashboard
  • Adhere to data governance policies, regulatory requirements, licensing policies, and other industry best practices for data handling, coding, and application development.
  • Maintain and develop a well-documented codebase and documentation for all developments relating to data dashboards
  • Perform additional related tasks as assigned.

Desired Education And Skills

  • BS/ MS in a STEM discipline with prior data science experience. BS with 5+ years of hands-on experience in the biotech/pharmaceutical industry or MS with 3+ years of professional experience. A background in RNA therapeutics, gene editing, or gene therapy is preferred.
  • Advanced programming/ scripting abilities in R is required. The ability to code in other languages is a plus.
  • Expertise in building data dashboards with R Shiny is required. Experience with Power BI and Tableau would be a plus.
  • Experience in data wrangling and data visualization with R packages such as dplyr, data.table, ggplot2, plotly
  • Experience working with cloud computing services, database systems, workflow management systems, and development tools in a production environment: AWS, Docker, Nextflow, GitLab, database technologies, and API standards
  • Proficiency in designing relational and non-relational schemas and queries to capture and represent multi-type data. Hands-on experience using SQL is desired (MySQL, Postgres, DuckDB etc.).
  • Experience developing and maintaining data warehouses using Snowflake
  • Experience in programmatically interfacing with the database via APIs, FTPs, or remote servers.
  • Basic understanding of Linux shell (bash, ssh, file management, dependency management, etc.)
  • Ability to effectively communicate and work with a multidisciplinary team including chemists, biologists, geneticists, data scientists, and clinical scientists, to complete scientific projects.
  • Background knowledge in RNA therapeutics, gene editing, and gene therapy technologies is a strong plus.
  • Experience with FAIR and tidy data principles is preferred.
  • Strong team player, excellent communicator, and continuous learner
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-30,[] +3993623620,https://www.linkedin.com/jobs/view/research-scientist-deep-learning-for-biology-at-instadeep-3993623620?position=6&pageNum=5&refId=QS2aaZX1up2A%2FCTxNPAlVw%3D%3D&trackingId=9qNax4HIbbPndI5yQNloig%3D%3D&trk=public_jobs_jserp-result_search-card,"Research Scientist, Deep learning for Biology",InstaDeep,"Boston, MA","InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. + + + + +Join us to be a part of the AI revolution! + + + + +Are you a Research Scientist/Research Engineer in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge. + + + + +Responsibilities: + +Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. +Engage and assist in the identification of research directions +Contribute to the design and implementation of models, tools and libraries to accelerate our research effort. +Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments +Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing. +Contribute to the team’s publication efforts. +Bridge the gap between the research and product teams by integrating new fundamental research into applied projects. + + + + +Required Skills: + +Ph.D. degree in Computer Science, Machine Learning or a related field. +Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax. +Experience in developing and debugging in Python3 or similar languages. +Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators) +Experience in planning and conducting research works +A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc). +Excellent communication skills and collaborative spirit. + + + + +Nice to have: + +2-5 years experience +Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions. +Reinforcement Learning, Computer Vision, or Natural Language Processing experience. + + + + +Our commitment to our people + +We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. + + + + +Right to work: Please note that you will require the legal right to work in the location you are applying for. + +Show more ","
+ + + + + +
+
+

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.


Join us to be a part of the AI revolution!


Are you a Research Scientist/Research Engineer in Science? You will contribute to knowledge in different fields, and plan and conduct experiments to help expand the canon of the company's scientific knowledge.


Responsibilities:

  • Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
  • Engage and assist in the identification of research directions
  • Contribute to the design and implementation of models, tools and libraries to accelerate our research effort.
  • Adapt neural network algorithms to deploy on supercomputing architectures to best exploit modern parallel environments
  • Report and present experimental results and research findings clearly and effectively, both internally and externally, verbally and in writing.
  • Contribute to the team’s publication efforts.
  • Bridge the gap between the research and product teams by integrating new fundamental research into applied projects.


Required Skills:

  • Ph.D. degree in Computer Science, Machine Learning or a related field.
  • Experience using Deep Learning frameworks such as PyTorch, Tensorflow and/or Jax.
  • Experience in developing and debugging in Python3 or similar languages.
  • Experience with high-performance computing methods and frameworks such as MPI, Ray (distribution on clusters of CPUs and accelerators)
  • Experience in planning and conducting research works
  • A demonstrated ability to successfully deliver high-quality research, including publishing scientific papers (ICLR, NeurIPS, ICML, etc).
  • Excellent communication skills and collaborative spirit.


Nice to have:

  • 2-5 years experience
  • Software engineering experience demonstrated via previous work, and contributions to open source or coding competitions.
  • Reinforcement Learning, Computer Vision, or Natural Language Processing experience.


Our commitment to our people

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.


Right to work: Please note that you will require the legal right to work in the location you are applying for.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-07,[] +3977245282,https://www.linkedin.com/jobs/view/data-scientist-azure-and-ml%21-at-jobot-3977245282?position=7&pageNum=5&refId=QS2aaZX1up2A%2FCTxNPAlVw%3D%3D&trackingId=86kwVToNicBkvdBFr3AEvg%3D%3D&trk=public_jobs_jserp-result_search-card,Data Scientist -- Azure and ML!,Jobot,"Boston, MA","Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page! + +Job details + +My client is an innovative Healthcare techonlogy company growing their Data Science team. Greenfield development on a few new features and integrations! Remote work culture on EST and Central! + +This Jobot Job is hosted by Alex Dickinson + +Are you a fit? Easy Apply now by clicking the ""Easy Apply"" button and sending us your resume. + +Salary $110,000 - $160,000 per year + +A Bit About Us + +This company is in the behavioral health space building applications that help others on their journey to better lives. + +Currently they have interesting patient care integration that is ML and AI based on this team. Great opportunity to work in a collaborative remote team with strong autonomy! + + + +Why join us? + + +100% fully paid for employee healthcare + +Remote + +Profit sharing opportunity + +Room for growth + +Early stage development and integrations from a data science perspective on a mature and profitable application! + +Job Details + +Qualifications + +4+ years of experience working as a data scientist or equivalent role. + +Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related field. + +Applied experience utilizing Cloud base tools such as Azure, AWS or Google Cloud + +Proficient with Python and one or more of the following programming languages Python. R, SQL, Scala Julia. + +Demonstrated experience in an Agile environment with Artificial Intelligence and Machine Learning/Deep Learning algorithms. + +Expertise in data extraction, transformation, and loading, data visualization, and data reporting. + +Responsibilities + +Develop and maintain predictive models, data mining algorithms and statistical analyses. + +Leverage ML and LLM technologies to draw insights from data. + +Communicate data-driven insights to key decision makers and stakeholders effectively. + +Interested in hearing more? Easy Apply now by clicking the ""Easy Apply"" button. + +Want to learn more about this role and Jobot? + +Click our Jobot logo and follow our LinkedIn page! + + +Show more ","
+ + + + + +
+
+ Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!

Job details

My client is an innovative Healthcare techonlogy company growing their Data Science team. Greenfield development on a few new features and integrations! Remote work culture on EST and Central!

This Jobot Job is hosted by Alex Dickinson

Are you a fit? Easy Apply now by clicking the ""Easy Apply"" button and sending us your resume.

Salary $110,000 - $160,000 per year

A Bit About Us

This company is in the behavioral health space building applications that help others on their journey to better lives.

Currently they have interesting patient care integration that is ML and AI based on this team. Great opportunity to work in a collaborative remote team with strong autonomy!



Why join us?


100% fully paid for employee healthcare

Remote

Profit sharing opportunity

Room for growth

Early stage development and integrations from a data science perspective on a mature and profitable application!

Job Details

Qualifications

4+ years of experience working as a data scientist or equivalent role.

Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related field.

Applied experience utilizing Cloud base tools such as Azure, AWS or Google Cloud

Proficient with Python and one or more of the following programming languages Python. R, SQL, Scala Julia.

Demonstrated experience in an Agile environment with Artificial Intelligence and Machine Learning/Deep Learning algorithms.

Expertise in data extraction, transformation, and loading, data visualization, and data reporting.

Responsibilities

Develop and maintain predictive models, data mining algorithms and statistical analyses.

Leverage ML and LLM technologies to draw insights from data.

Communicate data-driven insights to key decision makers and stakeholders effectively.

Interested in hearing more? Easy Apply now by clicking the ""Easy Apply"" button.

Want to learn more about this role and Jobot?

Click our Jobot logo and follow our LinkedIn page!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-08-08,[] +3888296350,https://www.linkedin.com/jobs/view/data-science-technical-lead-sleep-at-whoop-3888296350?position=10&pageNum=5&refId=QS2aaZX1up2A%2FCTxNPAlVw%3D%3D&trackingId=EfiFM9GmmYAnZMPEpfBR8g%3D%3D&trk=public_jobs_jserp-result_search-card,Data Science Technical Lead (Sleep),WHOOP,"Boston, MA","WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives. + +As the Data Science Technical Lead for Sleep, you’ll help develop technology at the core of the business. You’ll create, improve, and maintain algorithms that provide members with insights about their sleep. Providing the highest quality sleep tracking and analysis on sleep from a wearable is fundamental to the WHOOP experience. As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services to host the sleep algorithms. You’ll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to create novel sleep features. + +Responsibilities + + +Lead a team of data scientists in developing algorithms that power member-facing features, managing a portfolio of projects in various stages of development at any given time +Ownership of the WHOOP Sleep algorithms that identify periods of sleep, analyze data collected during sleep, and formulate insights on sleep for members +Create, improve, and maintain production services that provide analysis for sleep features in collaboration with MLOps Engineers +Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation +Conduct research on the use of wearable sensors to analyze sleep physiology and the implications of sleep parameters on performance +Design data collection studies to improve the performance of various sleep algorithms +Mentor / manage other data scientists on technical skills and paths for career growth +Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services + + +Qualifications + + +Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field +5+ years of full-time professional experience in a related area +5+ years experience applying advanced mathematical and statistical techniques +Significant experience working with time series data, preferably with sleep applications +Proficient in scientific Python and SQL +Experience deploying services and maintaining live code through logging and monitoring within a production environment +Excellent verbal and written communication skills +Prior management or mentorship experience is preferred + + +Join us in pushing the boundaries of wearable technology and positively impacting people's lives! + +This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. + +Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. + +WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility +Show more ","
+ + + + + +
+
+ WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.

As the Data Science Technical Lead for Sleep, you’ll help develop technology at the core of the business. You’ll create, improve, and maintain algorithms that provide members with insights about their sleep. Providing the highest quality sleep tracking and analysis on sleep from a wearable is fundamental to the WHOOP experience. As part of our production data science team, you’ll work with MLOps engineers to create and maintain robust services to host the sleep algorithms. You’ll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to create novel sleep features.

Responsibilities

  • Lead a team of data scientists in developing algorithms that power member-facing features, managing a portfolio of projects in various stages of development at any given time
  • Ownership of the WHOOP Sleep algorithms that identify periods of sleep, analyze data collected during sleep, and formulate insights on sleep for members
  • Create, improve, and maintain production services that provide analysis for sleep features in collaboration with MLOps Engineers
  • Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
  • Conduct research on the use of wearable sensors to analyze sleep physiology and the implications of sleep parameters on performance
  • Design data collection studies to improve the performance of various sleep algorithms
  • Mentor / manage other data scientists on technical skills and paths for career growth
  • Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services

Qualifications

  • Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
  • 5+ years of full-time professional experience in a related area
  • 5+ years experience applying advanced mathematical and statistical techniques
  • Significant experience working with time series data, preferably with sleep applications
  • Proficient in scientific Python and SQL
  • Experience deploying services and maintaining live code through logging and monitoring within a production environment
  • Excellent verbal and written communication skills
  • Prior management or mentorship experience is preferred

Join us in pushing the boundaries of wearable technology and positively impacting people's lives!

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-07-26,[]