The Principal Applied Scientist in Performance Measurement in the Measurement, Ad Tech, and Data Science (MADS) team leads the technical vision and execution for Amazon Advertising's performance measurement. Our measurement products and tools help customers understand the holistic impact of their spend on Amazon Ads and optimize their portfolios. This is a complex, multi-disciplinary scientific space spanning machine learning, causal inference, statistics and experimentation, natural language processing, and generative AI. As a GenAI-first organization, we build foundational and agentic models that power advertiser use cases across Ads, while empowering our Applied Scientists to directly build and ship products. You will guide a team of scientists with expertise across different domains to come together and innovate on some of the hardest problems in advertising, made more challenging by evolving privacy regulations and technological changes. In measuring the comprehensive impact of advertising, key challenges you will tackle include capturing impact: 1) both for identified and increasing unidentified web traffic in light of an evolving global privacy landscape; 2) for outcomes across retailers, including both within and beyond Amazon; and 3) for both short- and long-term impacts of advertising. The ideal candidate will have deep expertise in ad serving, measurement, and application of advanced machine learning and innovate on measurement solutions that comply with complex privacy policies and regulatory requirements maintaining Amazon Advertising’s competitive edge.
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Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree