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Senior Data Scientist - M365 Copilot, Agents & Platform - Turing Team

Microsoft· Data Science
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Redmond, WA, Mountain View, CA$119.8k - $234.7kfull-timePosted 4d ago

About the role

Senior Data Scientist on the Microsoft Turing team focused on M365 Copilot, responsible for preparing and analyzing large-scale datasets, designing evaluations, running experiments, and driving evidence-based product decisions to improve Microsoft 365 Copilot experiences.

Responsibilities

  • Write efficient, readable code in Python, SQL, KQL, or similar languages to prepare and analyze large-scale datasets, including customer feedback, text, and consented multimodal logs.
  • Build representative evaluation datasets across enterprise and consumer scenarios, including information retrieval, text creation and editing, image and file workflows, shopping, education, coding, technical support, health, sports, news, and finance.
  • Design evaluation coverage for text and voice inputs, single- and multi-turn conversations, and location- or geography-sensitive prompts.
  • Partner with engineering, product management, and applied science teams to define measurement strategies and inform product decisions.
  • Share findings, limitations, and recommendations that improve Microsoft 365 Copilot experiences.
  • Own experiment design and impact measurement for optimization hypotheses, including success metrics, guardrails, and interpretation of results.
  • Contribute to response-quality side-by-side evaluations by designing studies and rubrics, analyzing results, and assessing statistical and practical significance.
  • Compare LLM-based and human evaluations, validate alignment, investigate false positives and branding bias, and refine studies accordingly.
  • Develop decision-relevant metrics, dashboards, and compelling narratives that translate analyses into actionable product recommendations.
  • Present findings and analytical limitations to technical and executive audiences, build stakeholder support, and guide decisions on key product initiatives.
  • Stay current with AI offerings and competitive developments, using data and evaluation results to identify feature gaps and opportunities.
  • Provide mentorship through analytical code reviews, study-design guidance, innovation, and sharing data science best practices.

Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR 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.

Skills

Required:PythonSQLKQLExperimentation & A/B TestingCross-functional Collaboration
Nice to have:Data Visualization & Dashboards

Benefits

  • Benefits and other compensation may apply.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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