Define and evolve accuracy metrics across the full shopping experience (retrieval, ranking, recommendations and outcomes)
Design and run experiments to measure improvements and regressions
Build and maintain evaluation datasets, benchmarks and scoring frameworks
Translate ambiguous product questions into clear, measurable hypotheses and analysis
Partner with ML Engineers to validate model changes and guide iteration
Identify failure modes and edge cases and drive improvements through data
Create dashboards and reporting that make agent performance visible, trusted and actionable

4-6+ years in Data Science, ML Evaluation or Applied AI or similar roles
Deep experience evaluating AI/ML systems (ranking, recommendations, LLMs, etc)
Strong experience with experimentation (A/B testing, causal inference)
Experience working on consumer products or user facing systems and exposure to marketplace or e-commerce systems
Ability to translate messy problems into structured analysis and metrics
Strong product mindset, you care about real user outcomes
Clear communication with the ability to influence across engineering and product

Data Scientist – AI Evaluation

Key skills