Sr Data Scientist, SPX AI Lab, SPX Science

Amazon Seller Assistant is our flagship GenAI-first multi-agent system that reimagines Seller experience. Our vision is to provide each seller with a proactive autonomous agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs surfacing insights resolving issues taking actions on their behalf and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.

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 scientist engineers and product teams to launch production-grade agentic capabilities at Amazons 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
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 worlds most customer-obsessed company the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.

- 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 building Agentic AI systems

- 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

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 for more information. If the country/region youre applying in isnt 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 also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 159200.00 - 215300.00 USD annually