Principal Data Scientist, Core Shopping Data Science

What you'll do

• Validate metric definitions, audit LLM implementations, and assess judgment accuracy across shopping quality dimensions.
• Identify gaps between Organic and Ads treatments and align Stores and Ads stakeholders using evidence-backed deep dives.
• Build repeatable validation tools, including store-walk bots, experiment inspection, and customer-feedback loops.

What they ask for

• Graduate degree in a quantitative field or equivalent depth built through experience.
• Substantial industry experience as a data scientist, including technical leadership on ambiguous, high-visibility problems.
• Fluency in statistical inference, experimental design, and sampling methodology.
• Production-quality coding in Python and SQL; experience owning and defending metrics used by other organizations.

Nice to have

• Experience evaluating LLMs as judges or annotators, or aligning measurement across organizations with competing incentives.
• Experience in e-commerce search, recommendations, or advertising quality; reproducible analysis tooling or senior-executive communications.

Pay

217,800.00 - 294,700.00 USD annually (base salary); 189,400.00 - 256,200.00 USD annually (base salary)

Tools

LLMs, Python, SQL, Gecko

AI focus

Audit LLM implementations and evaluate their judgment accuracy for shopping quality; build tooling, including agents that inspect the store as a customer would.