MNC InsiderMNC Insider
Amazon logo

Sr Data Scientist, SPX AI Lab, SPX Science

Amazon

Sr Data Scientist, SPX AI Lab, SPX Science

full-timePosted: Jun 9, 2026Updated: Aug 27, 2026Seattle, Washington, United States

Job Description

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 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 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.

Locations

  • Seattle, Washington, United States

Salary

159,200 - 215,300 USD / yearly

Skills Required

  • statistical models eintermediate

Required 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 (experience, 5 years)
  • 4+ years of data scientist experience (experience, 4 years)
  • Experience with statistical models e.g. multinomial logistic regression (experience)
  • 1+ years of hands-on experience working with Agentic AI systems (e.g., onboarding tools, evaluation metrics, or scaling AI agent workflows (experience, 1 years)

Preferred Qualifications

  • Experience as a leader and mentor on a data science team (experience)
  • Experience managing data pipelines (experience)
  • 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience (experience, 2 years)
  • 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)
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value (experience)

Target Your Resume for "Sr Data Scientist, SPX AI Lab, SPX Science" , Amazon

Get personalized recommendations to optimize your resume specifically for Sr Data Scientist, SPX AI Lab, SPX Science. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Sr Data Scientist, SPX AI Lab, SPX Science" , Amazon

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data ScienceData Science

Answer 10 quick questions to check your fit for Sr Data Scientist, SPX AI Lab, SPX Science @ Amazon.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.