Sr. Data Scientist , Worldwide Global Selling AIT

Worldwide Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today more than 50% of Amazons total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazons 19 overseas marketplaces and supporting local Sellers success and growth on Amazon. Our vision is to be the first choice for all types of Chinese business to go globally.

The Worldwide Global Selling Analytics Intelligence and Technology (WWGS-AIT) team serves as the research automation and insight arm of the International Seller Service data hub enabling rapid delivery of growth insights through strategic investments in regional data foundations self-service business intelligence solutions and artificial intelligence tools.

The WWGS-AIT team is positioned to establish AI-ready foundational capabilities across the WWGS organization while maintaining excellence in business insight generation and self-service BI/AI application development.

WWGS-AIT is looking for a Sr. Data Scientist to design and build seller-facing AI agents that turn our AI-ready data foundation into intelligent conversational experiences for Amazons global sellers. You will own the intelligence layer of these agents end-to-end from modeling and retrieval to evaluation and launch working alongside applied scientists data engineers and the Seller Assistant platform team to put trustworthy AI directly into sellers hands.

Key job responsibilities
-Design build and iterate seller-facing AI agents (LLM-powered) that help Chinese sellers grow globally reasoning over WWGS-AITs AI-ready data foundation and knowledge base.
-Develop the intelligence layer of agents: retrieval-augmented generation (RAG) over our knowledge management system tool-use / function-calling orchestration prompt engineering and model fine-tuning or adaptation where needed.
-Ground agent responses in standardized metrics and unified seller profiles to guarantee consistency and accuracy across agents; design and enforce guardrails that prevent hallucination and protect sensitive compliance-restricted data.
-Build rigorous evaluation frameworks (golden datasets offline evaluation and online experimentation) to measure and continuously improve agent quality safety and seller impact.
-Develop seller-intelligence models (segmentation entity resolution / One-ID ranking and recommendation) that power personalized agent experiences.
-Partner with WWGS Tech and the Seller Assistant platform team to productionize agents and tools (e.g. via MCP) defining the model and intelligence contract while engineering operates the runtime.
-Collaborate with business product and cross-functional partners to translate seller pain points into agent capabilities and measurable business outcomes.
-Stay current with advances in GenAI and agentic systems and bring applied research into production.

- 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
- 5 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Masters degree in econometrics statistics industrial engineering operations research optimization data mining analytics or equivalent quantitative field

- Experience in e-commerce
- Hands-on experience developing LLM / GenAI applications (e.g. RAG prompt engineering fine-tuning or agent / tool-use frameworks).
- Experience building conversational or agentic AI systems including multi-agent orchestration function-calling or MCP-based tool integration.

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