Member of Technical Staff - Data Science Manager, Copilot Memory and Personalization
Microsoft
IT, Data Science
USD 139,900-274,800 / year + Equity
Posted on Jul 2, 2025
Member of Technical Staff - Data Science Manager, Copilot Memory and Personalization
Mountain View, California, United States
Date posted
Jul 01, 2025
Job number
MIC018347
Work site
Microsoft on-site only
Role type
Manager
Profession
Research, Applied, & Data Sciences
Discipline
Data Science
Employment type
Full-time
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking experienced Data Science Manager to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
Responsibilities
- Build and lead a high-performing team of data scientists supporting Microsoft Copilot memory and personalization.
- Develop and improve evaluation methodologies to assess model output quality, for both machine eval and human eval metrics and coverage.
- Drive actionable product insights, opportunity analyses, and metric tracking to guide product direction and success.
- Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
- Design and maintain core data pipelines and conduct hands-on analysis of large-scale telemetry data using advanced algorithms and tools.
- Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
Qualifications
Required Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR master's degree in data science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR bachelor's degree in data science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5 years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- 3 years people-management experience.
Preferred Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 8 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR master's degree in data science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 10 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR bachelor's degree in data science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 12 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5 years people-management experience.
- Experience in designing core data pipelines and conduct hands-on analysis of large-scale telemetry data using advanced algorithms and tools.
Data Science M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Data Science M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#Copilot #MicrosoftAI
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.