Sr Data Scientist, SPX AI Lab, SPX Science

Amazon is hiring a Sr Data Scientist, SPX AI Lab, SPX Science in Seattle, United States. It pays $159k-$215k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Python, SQL and R.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Drive the science vision and roadmap for production-grade generative AI multi-agent seller assistant systems.

PythonSQLR

ai-agentsai-researchdata-scienceagentic-aistatistical-modelingevaluation-frameworksmachine-learning

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.

Basic 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
- 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

Preferred qualifications

- 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.

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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The 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. Learn more about our benefits at https://amazon.jobs/en/benefits.

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

How we rate this

Sr Data Scientist, SPX AI Lab, SPX Science at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Data Scientist, SPX AI Lab, SPX Science is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $159k-$215k a year.
The role is based in US, WA, Seattle.
The job was posted on June 10, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI ResearchData ScienceAgentic AIStatistical ModelingEvaluation FrameworksMachine learningPython

Also common in data scientist jobs at this level

Machine learning LLM PyTorch Spark Deep learning NLP

Pay

This job starts at: $159k
Typical data scientist job: $168k

This posting starts 5% below the typical data scientist job. See data scientist jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a research question you investigated. What did you find?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where statistical modeling was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, AI Research, Data Science, Agentic AI, and Statistical Modeling. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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