Data Scientist
Not Disclosed•Full-TimeOn-site
location_on301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States
About the Team
The Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce. We are not a research group; we are a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. 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.
We move with the urgency of a startup and the resources of the world's most customer-obsessed company, translating the latest breakthroughs in science and engineering into capabilities that sellers rely on every day. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.
About the Role
We are seeking a world-class Data Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale. In this role, you will own your problem space end-to-end, transforming a crisp customer insight into a shipped product that millions of sellers rely on.
You will be responsible for defining and shipping agentic experiences—including reasoning, planning, memory, and context engineering—that solve hard seller problems at scale. Your work will involve translating frontier AI research into production-grade features, designing rigorous evaluation frameworks to measure agent quality and business impact, and driving cross-functional alignment across science, engineering, UX, and business teams to deliver with speed and quality.
Hiring Process
Our interview process is designed to assess both technical depth and product intuition. Candidates can expect a series of interviews focusing on data science fundamentals, machine learning application, and the ability to define product vision and strategy. We look for individuals who can effectively communicate complex concepts and drive cross-functional alignment.
Equal Opportunity
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
Work location
Work model: On-site
301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States
Seattle, Washington
Key Responsibilities
- check_circleDefine and ship agentic experiences including reasoning, planning, and memory systems
- check_circlePartner with scientists and engineers to translate frontier AI research into production features
- check_circleDesign rigorous evaluation frameworks to measure agent quality, accuracy, and business impact
- check_circleDrive cross-functional alignment across science, engineering, UX, and business teams
- check_circleAnalyze seller data to identify unmet needs and write compelling PRFAQs
- check_circleOwn product vision, strategy, and roadmap for key Seller Assistant capability areas
Requirements
- verified2+ years of data scientist experience
- verified3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software experience
- verified3+ years of machine learning/statistical modeling data analysis tools and techniques experience
- verified1+ years of working with or evaluating AI systems experience
- verifiedMaster's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- verifiedExperience in a ML or data scientist role with a large technology company
- verifiedExperience in defining and creating benchmarks for assessing GenAI model performance
Nice to Have
Knowledge of machine learning concepts and their application to reasoning and problem-solving. Experience in a ML or data scientist role with a large technology company. Experience in defining and creating benchmarks for assessing GenAI model performance. Experience working on multi-team, cross-disciplinary projects. Experience applying quantitative analysis to solve business problems and making data-driven business decisions. Experience effectively communicating complex concepts through written and verbal communication.
Benefits & Perks
check_circleHealth insurance including medical, dental, vision, prescription, Basic Life & AD&Dcheck_circleSupplemental life plans and EAP with Mental Health Support and Medical Advice Linecheck_circleFlexible Spending Accounts and Adoption and Surrogacy Reimbursement coveragecheck_circle401(k) matchingcheck_circlePaid time off and parental leave
