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. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.
Requirements
- Demonstrated experience in applying statistics and ML models to generate clear actionable insights.
- Experience in A/B testing, metrics and/or time series analysis.
- 3+ years of hands-on experience in the following programming languages like Python/R, SQL, C-Sharp.
Responsibilities
- Define, invent, and deliver metrics which accurately measure success across various products and marketplace components.
- Think critically about sampling and experimental design across User and Demand dimensions.
- Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
- engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
Other
- 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.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Excellent communication to be able to communicate insights to senior leaders.
- Mindset that promotes learning over knowing to solve complex business problems.
- 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
