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Microsoft Member Technical Staff - Data Science Manager Taiwan, Taoyuan City 101220895
17.07.2025
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Job Description
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.
By applying to this U.S.Mountain View, CAposition, 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.
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.
Data Science M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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