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Microsoft Member Technical Staff Data Scientist Copilot Memory Personalization Taiwan, Taoyuan City 889890162
17.07.2025
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. 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.
By applying to this U.S. Mountain View, CA you are required to be local to the San Francisco area and in office 3 days a week.
Responsibilities
In this role, you will:
- 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.
- Stay current on the latest in LLM research on evaluation and prompting.
- 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.
- Stay current on the latest in LLM research on evaluation and prompting.
- Enjoy working in a fast-paced, design-driven, product development cycle.
Required Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1 year(s) 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 3 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 5 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 1 year customer-facing, project-delivery experience, professional services, and/or consulting experience.
Preferred Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 year(s) 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.
- Experience in designing core data pipelines and conduct hands-on analysis of large-scale telemetry data using advanced algorithms and tools.
- Experience building or evaluating LLM applications in production.
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