Sr Data Scientist, GenAI Economics and Analytics

Sr Data Scientist, GenAI Economics and Analytics

Job :  |  Services LLC

The Alexa For Shopping Analytics team seeks a customer-obsessed Sr Data Scientist to own and drive analytics strategy for GenAI-powered Shopping experiences. This role partners with senior leaders to deliver high-quality insights that inform executive decision-making for the AI shopping assistant, Alexa for shopping. The candidate will mentor data science, economics, and engineering partners by establishing best practices for understanding customer behavior in AI-driven shopping experiences.

Responsibilities include inventing and scaling metrics to measure customer adoption and building automated analytical workflows for fast, repeatable deep dives. The role shapes product roadmap and investment decisions in a rapidly evolving GenAI space. You will work cross-functionally with product, engineering, and economics teams to deliver results for customers.

• 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 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, enabling data-driven product growth and executive decision-making.
• Partner with Product, Engineering, and Economics teams to translate analytical insights into roadmap priorities and customer-focused improvements.

The Alexa for Shopping Analytics team focuses on understanding how GenAI-powered shopping tools transform customer behavior across the shopping lifecycle—from inspiration and problem-solving to product research, selection, purchase, and post-purchase support. We build measurement frameworks that enable teams to evaluate performance, identify what AI experiences resonate with customers, and uncover opportunities for improvement. Our work informs customer-centric product roadmap decisions and helps scale high-quality AI shopping experiences.

• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.).
• 4+ years of data science experience.
• Experience with statistical models (e.g., multinomial logistic regression).

• 2+ years of data visualization experience (AWS Quick Sight, Tableau, R Shiny, etc.).
• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance, option for supplemental life plans), EAP, Mental Health Support, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement, 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at the Amazon jobs benefits page.