Sr. Data Scientist, Media Optimization

Microsofts Global Media and Partnerships team is a diverse, collaborative, solutions-oriented team committed to planning, activating and fiscally managing all paid media/advertising, strategic partnerships and agency relationships across Microsoft. We are seeking a highly skilled and experienced Senior Data Scientist Media Optimization to join our dynamic team. The ideal candidate will have a background in data science, business intelligence, or business and financial analysis, along with significant experience in paid media measurement and optimization. Responsibilities Prepare and manage data for project plans, proactively detect changes, and communicate updates to senior leads. Develop usable data sets, contribute to data ethics and privacy policies, and engage with customers about data integrity and cleanliness. Evaluating for Insight and Impact. Ensure models align with business goals, evaluate their effectiveness, design feedback methods, mentor engineers, and present findings to stakeholders. Industry and Research Knowledge / Opportunity Identification. Modeling and Statistical Analysis Use machine learning solutions and algorithms to identify the best approach for objectives. Understand and apply modeling techniques, manage data quality, and communicate findings to stakeholders. Write scripts in T?SQL, U?SQL, KQL, Python, and R. Construct hypotheses, design experiments, analyze results, and communicate effectively. Develop scalable operational models with data engineering teams. Coach engineers on best practices. Understand Microsofts Artificial Intelligence (AI) and Machine Learning (ML) tools. Break down complex topics for customers. Help the Solution Architect and provide guidance on model operationalization that is built into the project approach using existing technologies, products, solutions, and established patterns and practices. Embody our culture and values.

Qualifications

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data?science experience (managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in the same domain AND 3+ years data?science experience OR Bachelors Degree in the same domain AND 5+ years data?science experience OR equivalent experience. 3+ years experience building predictive models. 3+ years experience writing SQL to analyze data. 3+ years experience writing code in Python, R, or comparable languages. Additional or Preferred Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data?science experience OR Masters Degree and 5+ years experience OR Bachelors Degree and 7+ years experience OR equivalent experience. Media Specialty Experience.

Salary & Benefits

Data Science IC4 The typical base pay range for this role across the U.S. is USD?$119,800??$234,700 per year. For specific work locations in the San?Francisco Bay area and New?York City metropolitan area, the base pay range is USD?$158,400??$258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Application Deadline

Microsoft will accept applications for the role until October 31, 2025. Equal Employment Opportunity

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. #J-18808-Ljbffr