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Senior Data Scientist

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
United States , Redmond

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

119800.00 - 234700.00 USD / Year
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Job Description:

Microsoft Advertising (MSA) is a worldwide Sales, Marketing, Business and Operations organization on the cutting edge of the digital advertising industry. We are the engine that powers the buying and selling of digital advertising across all aspects of our digital portfolio including our high-growth search engine, Bing, and consumer services like MSN, Microsoft News, Xbox, and Outlook. Market Sciences Team within MSA is hiring Senior Data Scientist with expertise in the areas of: Causal Inference, Measurement, Experimental design, Machine Learning, Econometrics and Statistics. The team turns massive-scale data into actionable insights to drive rigorous, data-driven decisions across MSA, working closely with cross-functional partners. They lead model development, analytics and experimentation across areas such as advertiser value and lifecycle, retention and churn, segmentation and forecasting, campaign effectiveness, ROI measurement, and demand health metrics. Their work includes building measurement frameworks, causal analyses, and prototyping algorithms to optimize sales and marketing impact.

Job Responsibility:

  • Measurement: Design metrics to measure and track Microsoft advertiser demand health and inform/guide sales and marketing execution. Quantify the impact and incrementality of various sales and marketing programs.
  • Experimentation: Design and analyzing the results of online and offline experiments. Using quasi-experiments and counterfactuals to understand the causality in scenarios where AB testing is not feasible.
  • Demand Generation: Prototyping algorithms for creating, managing, and optimizing demand generation activities through sales, marketing, and product to support our ad marketplace
  • Problem formulation: Work with key business stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
  • Model development: Develop new predictive and prescriptive models using advanced statistical and machine learning techniques with a goal of productionizing solutions.
  • Influence: Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools.

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
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR equivalent experience.
  • Experience in all phases of managing data science projects including problem definition, solution formulation, model building, productionizing and delivering measurable impact.
  • Hands-on experience in design & problem-solving skills with programming languages, such as Python and R and SQL-like query languages.
  • Experience in applying statistics, designing experimentation, causal inference and metrics.

Nice to have:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR equivalent experience.

Additional Information:

Job Posted:
February 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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