Applied Scientist, Amazon Live Data Engineering, Sciences and Analytics (DESA)

Amazon Live is building the future of shoppable video — connecting brands with customers through livestreams, short-form video, and creator-driven content across Amazon Shopping, Fire TV, Prime Video, and social platforms. The product serves millions of monthly viewers, processes billions of events daily across 9 marketplaces, and generates tens of millions of dollars in advertiser revenue through self-service and managed channels with a goal to reach 100MM+ MAUs and 20K+ brands in the next couple of years. Amazon Live has a mature data platform powering reporting across 9 marketplaces, 14+ dashboards, and real-time creator analytics. The opportunity ahead is different: proving the causal value of video to brands, Amazon's programmatic systems, and product decision-making. This requires production ML models, data experimentation frameworks, and content intelligence that do not exist today — and that is exactly what this role builds.

You will be one of the first scientists on this team — defining the measurement methodology, experimentation standards, and model architecture from the ground up. The problems are high-ambiguity, the data is rich, and the impact is visible — your models will directly influence how brands invest and how millions of customers discover content. Are you excited by the challenge of building causal measurement, content intelligence, and ranking signals from scratch for a product customers interact with daily? Do you want to own the full lifecycle from research question through production deployment, where your work moves multi-million dollar business decisions?

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