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Senior Data Scientist, Customer Experience and Business Trends
Amazon · Seattle, WA · Posted 57 days ago
Build the evaluation framework and fine-tuning experiments that decide how Amazon's LLM-powered Intelligence Engine answers business questions for senior leaders.
Amazon's Customer Experience and Business Trends (CXBT) organization is hiring a Senior Data Scientist for its Benchmarking, Economics, Analytics and Measurement (BEAM) team. BEAM's mission is to improve customer experience across every Amazon business by turning fragmented internal and external data into decision-grade intelligence for senior leaders.
This role spans two of BEAM's core products. The Topline View of Retail is an always-on competitive intelligence capability that fuses third-party transaction panels with Amazon's internal signals to answer how Amazon is winning or losing share of wallet, across segments, categories and time. The Intelligence Engine is an LLM-powered analytics assistant that lets teams across Amazon ask business questions in natural language and get trustworthy, data-backed answers. You will not just analyze metrics. You will decide which metrics should exist and build the models that generate, forecast and explain them. And as the Intelligence Engine scales, you will own how we measure its quality and drive its accuracy forward: defining evaluation standards, diagnosing where and why it fails, building the labeled data that improves it, and running the experiments, including fine-tuning, that prove which changes actually work.
We are looking for someone with exceptional business judgment and metric intuition, paired with deep hands-on modeling skills: a strong point of view on what to measure, and the technical ability to measure it at scale, whether the subject is customer spending or the quality of an LLM's answers. You should be equally comfortable pressure-testing a model's assumptions and explaining its "so what" to a VP in two sentences.
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There are 17,473 open roles at Amazon right now. This role is one of 16 Data Scientist openings in Seattle, WA and centers on Statistical Modeling, Machine Learning, SQL, and Python.
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