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Member of Technical Staff, Data Scientist, Copilot Memory and Personalization

Microsoft Corporation

8/8/2025

Mountain View, CA

Full-time

Salary: $139,900 - $274,800 per year


Job Description

Microsoft AI (MAI) is seeking experienced Data Scientists to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user.

Requirements

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1 year(s) data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3 years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 years data-science experience OR equivalent experience
  • 1 year customer-facing, project-delivery experience, professional services, and/or consulting experience

Responsibilities

  • Develop and improve evaluation methodologies to assess model output quality, for both machine eval and human eval metrics and coverage.
  • Design and implement scalable data pipelines to extract, transform, and structure product logs for evaluation use cases.
  • 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.
  • Enjoy working in a fast-paced, design-driven, product development cycle.

Benefits

  • 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
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