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

Microsoft•Redmond, WA

2d•$119,800 - $234,700

About The Position

Join the Microsoft Turing team to help shape enterprise and consumer productivity through Microsoft 365 Copilot. The Senior Data Scientist prepares and analyzes large-scale datasets, develops evaluations, runs experiments, and supports evidence-based decisions with measurable business impact. Working in small, multidisciplinary teams with engineers, product managers, applied scientists, and domain experts, this role owns the analytical lifecycle from data discovery and study design through measurement, insight generation, and product recommendations. The Microsoft Turing team is an applied research and engineering organization advancing large language models and conversational search experiences. It builds platform capabilities behind Microsoft 365 Copilot and brings AI-powered experiences into production at enterprise scale. Data Scientists on the team define measurement strategies, build evaluation datasets, design experiments, and translate results into recommendations while partnering with teams that develop and productionize systems and models. Assignments evolve based on employees’ interests, experience, and strengths. The role requires a qualifying degree and data-science experience or equivalent experience. Candidates must also be able to meet Microsoft, customer, and/or government security screening requirements, including passing a Microsoft Cloud Background Check upon hire or transfer and every two years thereafter. The position is listed as Data Science IC4. The typical U.S. base pay range is $119,800–$234,700 per year; the range for the San Francisco Bay Area and New York City metropolitan area is $160,200–$261,000 per year. Certain roles may be eligible for benefits and other compensation. Applications will be accepted on an ongoing basis until the position is filled, and the position will be open for at least five days. Microsoft is an equal opportunity employer and provides information about requesting religious or disability accommodations during the application process.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field and at least 1 year of data-science experience; or a master's degree in one of these fields and at least 3 years of data-science experience; or a bachelor's degree in one of these fields and at least 5 years of data-science experience; or equivalent experience.
Data-science experience includes managing structured and unstructured data, applying statistical techniques, and reporting results.
Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Self-driven and results-oriented, with high integrity and ability to collaborate across disciplines, solve complex problems with diverse groups, and develop mutually beneficial solutions.
Customer- and metrics-driven approach to evaluation, experimentation, and product decision-making.
Demonstrated ability and motivation to learn, enter new domains, and manage through ambiguity.

Nice To Haves

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field and at least 3 years of data-science experience; or a master's degree in one of these fields and at least 6 years of data-science experience; or a bachelor's degree in one of these fields and at least 8 years of data-science experience; or equivalent experience.
At least 4 years of experience using Python, SQL, KQL, R, or similar languages to analyze large-scale structured and unstructured datasets.
Experience driving effective cross-organizational communication, end-to-end analytical problem solving, collaboration, customer focus, and the ability to navigate ambiguity.
Ability to communicate technical details clearly across organizational boundaries.
Ability to work end to end in complex analytical problem domains, from problem definition and study design through execution, interpretation, and communication of results.

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 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.
Embody Microsoft’s culture and values.