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Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.  Microsoft AI (MAI) is seeking experienced Data Science Manager to help build Copilot memory and personalization \u2014 AI that remembers, evolves, and grows with each user. You\u2019ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user\u2019s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool.\u00a0 Microsoft\u2019s 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.\u202f 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. 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Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0\u00a0 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. 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