We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions.
\nThe team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers. We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques.
\nYou will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
\nMicrosoft’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.
\nStarting 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.
\nResponsibilities:
\nMeasurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
\nExperimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
\nProduct Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
\nCooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
\nMake independent decisions for the team and handle difficult tradeoffs Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
\nQualifications:
\nRequired Qualifications:
\nDoctorate 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)
\nOR Master’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)
\nOR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
\nOR equivalent experience.
\nPreferred Qualifications:
\n5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++.
\nOrganizational, analytical, data science skills.
\nProblem solver: ability to solve problems that the world has not solved before.
\nInterpersonal skills: cross-group and cross-culture collaboration.
\nExperience with real world system building and data collection, including design, coding and evaluation.
\nExcellent communication to be able to communicate insights to senior leaders.
\nExperience with driving large collaboration across multiple teams.
\nDemonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.
\nOther Requirements:
\nAbility 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.
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