Data Scientist, Knowledge Management

Role Overview

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. We’re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us do it. This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering, embedded in the Product Knowledge org to shape taxonomy, ontology, and catalog data for next-gen search and recommendations.

Responsibilities

• Analyze & Optimize eCommerce Product Data – Run deep SQL & Python analyses to find opportunities in taxonomy, ontology, and structured data.
• Leverage LLMs for Analytical Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation and data enrichment.
• Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
• Drive Insights & Strategy – Use data-driven storytelling to influence product and AI teams regarding catalog optimization and knowledge graph development.
• Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification and search ranking models.
• Prototype and Experiment – Move fast, test hypotheses, and build quick experiments to validate structured data strategies.

Requirements

• 4+ Years experience in analytics or data science roles.
• Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation.
• Product Analytics Attitude – Familiarity with eCommerce search, recommendations, and knowledge graph applications.
• Strong Communication – Ability to turn complex findings into actionable recommendations.
• AI/LLM Experience – Hands-on experience with LLMs, prompt engineering, and RAG (Preferred).
• Model Evaluation Know-How – Ability to define metrics and evaluation frameworks for assessing ML-driven models.
• Startup DNA – High agency and ability to thrive in fast-paced, iterative environments.

Skills

• SQL
• Python
• LLMs
• Prompt Engineering
• RAG