Sr. Data Scientist , Worldwide Global Selling -AIT

Amazon Science; Shanghai (VA); On-site; USD 180,000 - 250,000; Full time

Job summary

Worldwide Global Selling, part of Amazon, is seeking a Sr. Data Scientist to design and build seller-facing AI agents leveraging our AI-ready data foundation.

You will own the intelligent layer end-to-end from modeling to evaluation and deployment, working with applied scientists, data engineers and the Seller Assistant team. You will contribute to agent capabilities with RAG techniques, prompt engineering, model fine-tuning, and guardrails to ensure safe, compliant, accurate responses while

Qualifications

• 5+ years experience with SQL or Python in data analysis.
• 5+ years data scientist experience.
• Experience with statistical models such as multinomial logistic regression.

Responsibilities

• Design and build seller-facing AI agents using WWGS-AIT data foundation.
• Develop the intelligence layer: retrieval-augmented generation, prompts, tool-use and model fine-tuning.
• Ground agent responses with standardized metrics and guardrails to prevent hallucination and protect sensitive data.
• Build evaluation frameworks with golden datasets, offline and online experiments.
• Develop seller-intelligence models for segmentation, entity resolution and ranking.
• Collaborate with WWGS Tech and Seller Assistant platform to productionize agents and tools.

Skills

SQL

Python

R

SAS

Matlab

Multinomial logistic regression

Education

Master's degree in econometrics/statistics/operations research or related quantitative field

Tools

MCP

Job description

Worldwide Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today, more than 50% of Amazon's total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazon's 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.

Worldwide Global Selling has been helping individuals and businesses increase sales and reach new customers around the globe. Today, more than 50% of Amazon's total unit sales come from third-party selection. The Global Selling team in China is responsible for recruiting local businesses to sell on Amazon's 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 Amazon's 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-AIT's 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.

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
• 5+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field

Preferred Qualifications

• 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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