Senior Data Scientist, Customer Experience and Business Trends

• Key job responsibilities
• Design, build, and validate statistical and machine learning models — forecasting, causal inference, segmentation, and anomaly detection — that power those metrics and surface competitive shifts.
• Pull together disparate third-party transaction-panel data and internal Amazon signals into coherent, reproducible modeling pipelines that leadership can trust for recurring reporting.
• Translate ambiguous business questions ("are we losing ground in grocery?") into the right metric, the right model, the right cut of data, and a clear, defensible answer.
• Productionize models and analyses so they run reliably as recurring mechanisms, partnering with data engineers to scale and automate.
• Produce monthly flash reports and deep-dive narratives that turn models and metrics into decisions for CXBT and business-line leadership.
• Set the standard for analytical and modeling rigor on the team — methodology reviews, documentation, and guardrails against misleading cuts.
• About the team
• Master's degree or above in a quantitative field, or PhD and 6+ years of data scientist experience
• Experience applying statistical modeling and machine learning methods (e.g., regression, forecasting/time series, classification, clustering, causal inference) to business problems.
• Proficiency with data scripting and modeling languages (SQL and Python or R) and building analyses on large, messy datasets.
• Demonstrated experience defining metrics and KPIs from scratch and connecting them to business decisions.
• Experience communicating analytical and modeling results to senior, non-technical business audiences in writing.
• Familiarity with experimentation/A-B testing and with modern ML tooling and cloud data environments (e.g., AWS, Spark).
• Experience mentoring scientists/analysts and providing technical leadership on modeling and metric-design decisions.
• Strong background in retail, e-commerce, or CPG competitive and market-share analytics (share-of-wallet, category penetration, price/selection benchmarking).
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, VA, Arlington - 159,200.00 - 215,300.00 USD annually
• USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

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