Sr Data Scientist, SPX AI Lab, SPX Science

Sr Data Scientist, SPX AI Lab, SPX Science

Job :  |  Services LLC

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.

• 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.

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, bringing 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 such as multinomial logistic regression
• 1+ year of hands‑on experience working with Agentic AI systems (e.g., onboarding tools, evaluation metrics, or scaling AI agent workflows)

• Experience as a leader and mentor on a data science team
• Experience managing data pipelines
• 2+ years of data visualization using AWS Quick Sight, 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. 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 (Use the "Apply for this Job" box below)./accommodations 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  –  USD annually. 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 /benefits
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USA, WA, Seattle

Posted: June 12, 2026 (Updated about 11 hours ago)