Sr Data Scientist, GenAI Economics and Analytics

About this role

Description
The Alexa For Shopping (formerly Rufus) Analytics team is seeking a customer-obsessed Sr Data Scientist to own and drive analytics strategy for GenAI-powered Shopping experiences. This role will partner closely with senior leaders to deliver high-quality insights that inform executive decision-making for the AI shopping assistant, Alexa for shopping. Successful candidate will demonstrate strong attention to detail, excellent written and verbal communication, and the ability to influence across organizations.


In this role, you will mentor and set the bar for data science, economics, and engineering partners by establishing best practices for understanding customer behavior in AI-driven shopping experiences. You will invent and scale metrics that measure customer adoption and habituation, and build agentic, automated analytical workflows that enable fast, repeatable deep dives.


This position will play a critical role in shaping product roadmap and investment decisions in a rapidly evolving GenAI space. The ideal candidate will operate effectively in ambiguous environments, exercise strong business judgment on high-impact, one-way door decisions, and continuously raise the bar for analytical rigor and operational excellence. You will work cross-functionally with product, engineering, and economics partners to deliver results for customers


Key job responsibilities

• Own the development of customer and shopping-mission cohorts to understand behavior with and without Alexa for shopping engagement across the end-to-end shopping journey.
• Identify which query shapes and interaction patterns drive the most customer value for specific customer cohorts and shopping missions.
• Build predictive models to estimate customer re-engagement and long-term adoption of Rufus based on interaction quality and downstream shopping outcomes.
• Invent, operationalize, and publish scalable metrics and dashboards that surface actionable insights, enabl...