Sr Data Scientist, SPX AI Lab, SPX Science

About the role

We are seeking a world-class Senior Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists, engineers, and product teams to launch production-grade agentic capabilities at Amazon's scale — owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on.

Key job responsibilities

• Own the science vision, strategy, and roadmap for a key Seller Assistant capability area.
• Define and ship agentic experiences — sub-agent onboarding, tool onboarding, evaluations— that solve hard seller problems at scale.
• Partner with scientists and engineers to translate frontier AI research into production-grade features sellers trust and depend on.
• Design rigorous evaluation frameworks — automated and human-in-the-loop — to measure agent quality, accuracy, and business impact.
• Deep-dive into seller data, identify unmet needs, and write compelling PRFAQs that set the direction for your team.
• Drive cross-functional alignment across science, engineering, UX, and business teams to deliver with speed and quality.

About the team

The Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce — not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world's most customer-obsessed company, the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.

Basic Qualifications

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• 1+ years of hands-on experience working with Agentic AI systems (e.g., onboarding tools, evaluation metrics, or scaling AI agent workflows)

Preferred Qualifications

• Experience as a leader and mentor on a data science team
• Experience managing data pipelines
• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
• Experience identifying opportunities to integrate AI solutions into products and services to drive business value