Senior Data Scientist at Microsoft

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, Statistical Modeling, Predictive Analytics, A/B Testing, Cloud Platforms, Big Data Technologies, Communication, Stakeholder Management, Marketplace Economics, Auction Theory, Programmatic Advertising, Data Products, Analytics

Industry

Software Development

Description

Overview As part of Microsoft AI, we run Microsoft’s unified monetization platform across the Microsoft ecosystem — including Bing, MSN, Microsoft Edge, Outlook, CoPilot, etc. It powers large scale ads marketplace that connects millions of businesses with high-quality Microsoft-owned and partner inventory across search and the Microsoft Audience Network. The Live Marketplace Management team sits at the center of this ecosystem—using data, experimentation, and machine learning to keep the marketplace healthy, efficient, and trustworthy while delivering measurable outcomes for advertisers and sustainable yield for publishers. We build measurement foundations, develop metrics and causal analyses, and drive product and policy decisions that balance relevance, monetization, user experience, and compliance at scale. You’ll be part of a dynamic, collaborative environment that values curiosity, creativity, and continuous learning. We are seeking an exceptional Senior Data Scientist to join our Live Marketplace Management team. This role sits at the intersection of cutting-edge data science, marketplace economics, and product innovation. You will leverage petabytes of advertising data to drive marketplace efficiency, advertiser success, and revenue growth across our platform, as well as journey. You'll work with world-class interdisciplinary teams of data scientists, engineers, product managers, and business stakeholders to tackle complex marketplace dynamics spanning supply-demand optimization, auction mechanics, pricing strategies, and advertiser lifecycle management. 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. Responsibilities Define and optimize marketplace health metrics (e.g., supply-demand balance, auction dynamics, fill rates, match rates) to ensure efficiency and revenue protection. Monitor and diagnose marketplace anomalies, identify root causes, and implement solutions to maintain stability and uncover growth opportunities. Design troubleshooting frameworks and explore AI-driven solutions to improve live marketplace operations. Lead experimentation and A/B testing programs to evaluate pricing, matching, and prediction models, driving performance improvements. Develop scalable data products, pipelines, and automated reporting systems to support analytics and machine learning initiatives. Build self-service dashboards and tools that enable cross-functional teams to make data-informed decisions. Partner with stakeholders to translate business needs into actionable insights, influence product strategy, and present recommendations to senior leadership. 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. 5+ years of professional experience using analytics to solve product or business problems in data science, applied research, or related roles 3+ years of experience in the digital advertising, e-commerce, marketplace, or online platform industry Demonstrated track record of driving measurable business impact through data science initiatives Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (Azure preferred) and big data technologies. Solid understanding of statistical modeling, predictive analytics, and experimentation design. Excellent communication and stakeholder management skills. Proficient English communication oral or in written. Preferred Qualifications: Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Deep understanding of online advertising ecosystem including DSPs, SSPs, ad exchanges, ad networks, and programmatic buying. Knowledge of auction theory and mechanism design principles. Experience with RTB (Real-Time Bidding) and programmatic advertising dynamics. Understanding of two-sided marketplace economics and platform effects. Familiarity with ad serving infrastructure and latency considerations. 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.

Responsibilities

The Senior Data Scientist will define and optimize marketplace health metrics and monitor marketplace anomalies to maintain stability and uncover growth opportunities. They will also lead experimentation programs and develop scalable data products to support analytics initiatives.