Senior Data Scientist

Technology, Data & Digital · Data, AI & Analytics · Data Science

In short

Join the Microsoft Turing team as a Senior Data Scientist to shape the future of enterprise and consumer productivity with M365 Copilot. You will prepare and analyze large-scale datasets, design evaluations, run experiments, and drive evidence-based decisions for innovative AI-powered experiences. This role involves cross-functional collaboration, owning experiment design, and translating analytical results into actionable product recommendations.

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.
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.
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.
Embody our culture and values.

Requirements

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.
Ability to meet Microsoft, customer and/or government security screening requirements.
Required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Desired Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience OR equivalent experience.
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.
Demonstrated ability to communicate technical details clearly across organizational boundaries.
Demonstrated ability to work end to end in complex analytical problem domains, from problem definition and study design through execution, interpretation, and communication of results.
Self-driven and results-oriented, with high integrity and a demonstrated 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.

Benefits

The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation.

Skills

PythonSQLKQLR

#AI#LLM#Microsoft 365 Copilot#Data Science#Experimentation#Evaluation#Product Development

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