Data Scientist, PPE Product Intelligence

Amazon's Price Perception and Evaluation team is seeking a driven Data Scientist to harness planet scale multi-modal datasets and navigate a continuously evolving competitor landscape. The role involves designing and running experiments, conducting statistical analysis, and collaborating with technology and product leaders to build new services that enhance customer experience.

Responsibilities:

• Design and run rigorous experiments at scale to evaluate and improve foundation model performance across hundreds of millions of products, geographies, and business verticals
• Lead the end-to-end lifecycle of evaluation models — from research and experimentation through production launch — including defining success metrics, obtaining stakeholder sign-off, and managing rollout
• Conduct online and offline labs to measure the real-world impact of model improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes
• Develop and deploy production-grade statistical models using Python, Scala, SQL, and related tools
• Perform large-scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development
• Translate complex research findings into clear insights and recommendations for technical and non-technical stakeholders at all levels