{"id":2773827,"url":"https://alion.io/job/amazon-sr-data-scientist-spx-ai-lab-spx-science","title":"Sr Data Scientist, SPX AI Lab, SPX Science","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":4485,"ghost_share":0,"stale_share":0.89,"repost_share":0.001,"time_to_fill_p50_days":18,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":159200,"max":215300,"currency":"USD","period":"year","gross":null,"usd_annual":215300},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"MATLAB","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"R","optional":true},{"name":"Shiny","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-06-10T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-22T04:42:46Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":134},"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.\nWe 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. \nKey job responsibilities\nOwn the science vision, strategy, and roadmap for a key Seller Assistant capability area. \nDefine and ship agentic experiences - sub-agent onboarding, tool onboarding, evaluations- that solve hard seller problems at scale. \nPartner with scientists and engineers to translate frontier AI research into production-grade features sellers trust and depend on. \nDesign rigorous evaluation frameworks - automated and human-in-the-loop - to measure agent quality, accuracy, and business impact. \nDeep-dive into seller data, identify unmet needs, and write compelling PRFAQs that set the direction for your team. \nDrive 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.\nBasic qualifications\n- 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\n- 4+ years of data scientist experience\n- Experience with statistical models e.g. multinomial logistic regression\n- 1+ years of hands-on experience working with Agentic AI systems (e.g., onboarding tools, evaluation metrics, or scaling AI agent workflows\nPreferred qualifications\n- Experience as a leader and mentor on a data science team\n- Experience managing data pipelines\n- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience\n- 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\n- Experience identifying opportunities to integrate AI solutions into products and services to drive business value\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nThe 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. 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