Microsoft · 3 days ago
Senior Data Scientist
Redmond, WA
Full-time
Onsite
Mid, Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft is at the forefront of innovation in the Business Industry Copilot organization, seeking a Senior Data Scientist to lead analytics and machine learning solutions. This role involves partnering with product managers and engineers to design experiments, build production models, and extract insights to drive product-led growth and improve performance.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Lead analytics insights: perform deep quantitative analysis and exploratory data work to identify trends, diagnose user behaviors, surface actionable insights, and guide product-led growth strategies
Build intelligent solutions: Design, develop, and productionize ML models, AI agents, and other AI-driven heuristics (e.g. quality evaluation, forecasting, scoring) that improve product performance and influence roadmap prioritization
Drive experimentation: Design, implement, and analyze A/B tests and other experimental methods to validate hypotheses and optimize Copilot Studio experiences at scale
Partner for impact: Collaborate with PM, engineering, and research partners to define metrics, measure success, and drive data-informed decision making across Copilot Studio
Operationalize ML: Implement evaluation pipelines, monitoring, and model performance tracking for production workloads, ensuring security, reliability, robustness, and responsible AI standards
Communicate with clarity: Share insights and recommendations with senior leaders and cross-functional stakeholders to align strategy and accelerate business outcomes
Qualification
Required
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Preferred
Experience driving product-led growth, optimizing user journeys, or developing insights that drive product adoption or revenue / cost outcomes
Hands-on experience building or evaluating AI agents, copilots, or LLM-powered systems, including working with agent workflows, prompt engineering, tool-calling, or evaluation metrics for agent performance
Experience with experimentation (A/B testing, causal inference, metric development)
Experience working with large-scale datasets in distributed or cloud environments (e.g. Kusto/Azure Data Explorer, Spark, Fabric, or similar)
Strong engineering skills: ability to build pipelines, automate analyses, and work with production data systems
Knowledge of evaluation systems, including prompt/agent performance measurement, regression testing, or automated evaluation framework
Experience building, deploying, or monitoring ML models in production (e.g. Azure ML, ML flow, CI/CD for ML)
Experience with generative AI, LLMs, prompt optimization, or agentic reasoning systems is a plus
Excellent collaboration and communication skills across cross-functional partners
Professional experience writing SQL or Kusto queries to analyze large-scale datasets
Hands-on experience building or evaluating machine learning models using Python or R
Conducted or analyzed A/B tests, controlled experiments, or other statistical experimentation methods in a previous role
Worked with data in a cloud or distributed environment (e.g. Azure, AWS, Spark, or similar)
Benefits
Certain roles may be eligible for benefits and other compensation.
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
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2026-01-16
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