Data Scientist II

Microsoft•Redmond, WA

About The Position

Are you passionate about applying cutting-edge science to solve real-world problems at scale? Do you thrive in environments where you work with massive datasets and advanced machine learning techniques? Are you excited by the challenge of building intelligent systems that process trillions of records to deliver impactful experiences for millions of users? 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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree 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 consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ 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.

Nice To Haves

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.
Have a track record of innovative thinking and problem-solving skills using Big Data.
Have the ability to deliver on ambiguous projects with incomplete data.
3+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).
3+ years of experience in SQL, R, Python, or related tools for large-scale analysis.
Ability to clearly explain ideas and communicate complex analysis & insights to a non-technical audience.
Experience as a data scientist for an online service, app, or Web site with millions of users. Experience working on an online collaboration, video conference, or messaging product.

Responsibilities

Own and execute end‑to-end data analysis for Bing scenarios, apply analytics techniques to tackle complex problems such as fraud/anomaly detection, opportunities and business impact analytics.
Design and analyze experiments to validate hypotheses and measure impact on products.
Communicate findings and recommendations to technical and business stakeholders through clear, actionable insights.

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