Sr Data Scientist, SPX AI Lab, SPX Science

• 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
• 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
• 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.
• USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

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