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Senior Data Scientist
Microsoft
H1B ✓Hybridsenior levelPosted April 17, 2026
About the Role
Lead end-to-end analytics and machine learning initiatives to drive product adoption, revenue growth, and strategic decision-making for Copilot Studio. Collaborate with cross-functional partners to design experiments, build scalable models, and communicate actionable insights to senior leadership.
Requirements
Requires a degree in a quantitative field (Data Science, Mathematics, Statistics, etc.) combined with several years of professional data science experience. Candidates must demonstrate proficiency in statistical modeling, programming, and the ability to translate complex business questions into data-driven strategies.
Full Job Description
Overview
As a Senior Data Scientist, you will own end-to-end analytics and machine learning solutions that inform growth strategy, investment decisions, and execution priorities. You will partner closely with product managers, engineers, and business stakeholders to design experiments, build scalable models, and surface actionable insights that accelerate business outcomes. You will help translate complex and ambiguous business questions into clear metrics, forecasts, and insights – enabling leaders to understand what is driving growth, where bottleneck exist, and how to prioritize the highest-impact opportunities.
This role is ideal for someone who thrives at the intersection of data, business strategy, and execution, and who enjoys shaping decisions that have measurable impact on revenue and customer success. You will be a part of a team of data scientists and engineers who thrive on solving complex problems at scale while doing it with impeccable quality.
Responsibilities
Qualifications
The Microsoft Copilot Studio's COO Data Science team is looking for a Senior Data Scientist to join us!
This is an exciting time to join our group and work on something highly strategic to Microsoft. You will work on problems that directly influence product adoption, customer expansion, and revenue performance for Copilot Studio and AI agents.
This is an exciting time to join our group and work on something highly strategic to Microsoft. You will work on problems that directly influence product adoption, customer expansion, and revenue performance for Copilot Studio and AI agents.
As a Senior Data Scientist, you will own end-to-end analytics and machine learning solutions that inform growth strategy, investment decisions, and execution priorities. You will partner closely with product managers, engineers, and business stakeholders to design experiments, build scalable models, and surface actionable insights that accelerate business outcomes. You will help translate complex and ambiguous business questions into clear metrics, forecasts, and insights – enabling leaders to understand what is driving growth, where bottleneck exist, and how to prioritize the highest-impact opportunities.
This role is ideal for someone who thrives at the intersection of data, business strategy, and execution, and who enjoys shaping decisions that have measurable impact on revenue and customer success. You will be a part of a team of data scientists and engineers who thrive on solving complex problems at scale while doing it with impeccable quality.
Microsoft’s 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.
Responsibilities
• Lead business growth analytics: Drive deep quantitative and exploratory analyses to understand customer adoption, usage expansion, and revenue drivers. Identify growth opportunities, diagnose performance gaps, and inform executive-level growth and investment decisions.
• Build scalable growth intelligence: Design, develop, and productionize analytics, ML models, and AI-driven heuristics (e.g. forecasting, scoring, quality evaluation) support revenue planning, capacity modeling, and prioritization across Copilot Studio and Business Applications.
• Drive experimentation for business outcomes: Design and analyze experiments and quasi-experimental analyses to evaluate the impact of product features and go-to-market initiatives on key business metrics, ensuring insights translate into measurable growth.
• Partner to influence strategy: Collaborate closely with product, engineering, sales, finance, and research partners to define success metrics, align on growth goals, and embed data-driven decision-making into planning and execution processes.
• Operationalize analytics at scale: Build robust pipelines, evaluation frameworks, and monitoring systems to ensure accuracy, reliability, and trust in production analytics and models that inform business-critical decisions.
• Communicate insights with executive clarity: Synthesize complex analyses into clear narratives and recommendations for senior leaders, enabling alignment, prioritization, and accelerated execution across the organization.
• Build scalable growth intelligence: Design, develop, and productionize analytics, ML models, and AI-driven heuristics (e.g. forecasting, scoring, quality evaluation) support revenue planning, capacity modeling, and prioritization across Copilot Studio and Business Applications.
• Drive experimentation for business outcomes: Design and analyze experiments and quasi-experimental analyses to evaluate the impact of product features and go-to-market initiatives on key business metrics, ensuring insights translate into measurable growth.
• Partner to influence strategy: Collaborate closely with product, engineering, sales, finance, and research partners to define success metrics, align on growth goals, and embed data-driven decision-making into planning and execution processes.
• Operationalize analytics at scale: Build robust pipelines, evaluation frameworks, and monitoring systems to ensure accuracy, reliability, and trust in production analytics and models that inform business-critical decisions.
• Communicate insights with executive clarity: Synthesize complex analyses into clear narratives and recommendations for senior leaders, enabling alignment, prioritization, and accelerated execution across the organization.
Qualifications
Required Qualifications:
- 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.
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- 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 Qualifications:
- Experience driving business growth outcomes, such as customer adoption, usage expansion, revenue optimization, cost efficiency, or investment prioritization, through data-driven insights.
- Experience partnering with product, engineering, sales, finance, or strategy teams to influence planning, roadmap prioritization, or go-to-market decisions.
- Hands-on experience building analytics, ML models, or AI-driven heuristics to support forecasting, scoring, performance measurement, or operational decision-making at scale.
- Experience with experimentation and measurement frameworks (e.g., A/B testing, causal inference, metric design) applied to business or operational impact, not just product UX optimization.
- Strong data engineering and analytics skills, including working with large-scale datasets in cloud or distributed environments (e.g. Kusto/Azure Data Explorer, Spark, Fabric, or similar)
- Ability to communicate complex analyses clearly and concisely to senior leaders, synthesizing insights into actionable recommendations.
- 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.
- Experience conducting or analyzing 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).
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Data Science IC4 - 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.