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Senior Data Scientist - Media Optimization - Marketing Engines & Experiences

Microsoft

$106,400 - $222,600
Oct 1, 2025
Redmond, WA, USA • New York, NY, USA • Mountain View, CA, USA • Atlanta, GA, USA
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Microsoft's Marketing Engines & Experiences team is looking to optimize paid media investment and measurement strategies to drive business impact.

Requirements

  • 5+ years experience building predictive models
  • 5+ years experience writing SQL to analyze data.
  • 5+ years experience writing code to include: Python, R or comparable languages.
  • Understand Microsoft's Artificial Intelligence (AI) and Machine Learning (ML) tools.
  • Help the Solution Architect and provide guidance on model operationalization that is built into the project approach using existing technologies, products and solutions, as well as established patterns and practices.

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.
  • Ensure models align with business goals, evaluate their effectiveness, design feedback methods, mentor engineers, and present findings to stakeholders.
  • Provide technical feedback to the engineering team, identify business opportunities, propose collaborations, support strategy execution, leverage existing systems, share industry knowledge, and contribute to thought leadership and best practices.
  • 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 SQL, Python, and R.

Other

  • Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
  • Construct hypotheses, design experiments, analyze results, and communicate effectively.
  • Coach engineers on best practices.
  • Break down complex topics for customers.
  • Embody our culture and values.