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As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. Microsoft AI (MS AI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot. We seek a versatile data scientist who can architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. 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. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Job Responsibility:
Develop metrics for Copilot usage and quality
Drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot
Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation
Enable A|B experimentation for new features
Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own
Articulate insights, storyboard with data and communication to influence leadership and other key decision makers
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
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 (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.
Nice to have:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
Experience with prompt engineering and using LLMs
Experience building data pipelines to support analytics and experiment scenarios
Experience working on product analytics to drive product improvements
1+ years of experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge
Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results
Proficiency in using one or more programming or scripting language like Python, R, C# to work with data
Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security
Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders
Keen interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines