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You will be updated with latest job alerts via emailAt eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.
Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.
About Team and role
Were 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 engineeringideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions.
Youll be embedded in the Product Knowledge org shaping how we structure and optimize taxonomy ontology and catalog data for next-gen search recommendations and AI-driven experiences.
This is a high-agency startup-style roleif you thrive in fast-moving product-focused environments and love working closely with AI/ML Product and Engineering teams this is for you.
Analyze & Optimize eCommerce Product Data Run deep SQL & Python analyses to find opportunities in taxonomy ontology and structured data for search & discovery improvements.
Leverage LLMs for Analytical Solutions Use prompt engineering techniques to create AI-driven approaches for taxonomy validation data enrichment and classification.
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 helping shape decisions on catalog optimization entity resolution and knowledge graph development.
Integrate with AI/ML Teams Work closely with data scientists and engineers to test and refine AI-based classification search ranking and recommendation models.
Prototype and Experiment Move fast test hypotheses and build quick experiments to validate structured data strategies and AI-driven discovery improvements.
6 Years experience in analytics data science role
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 for Product AI and Engineering teams.
AI/LLM Experience Hands-on experience with LLMs prompt engineering and retrieval-augmented generation (RAG) for AI-powered insights (Preferred)
Model Evaluation Know-How Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models..
Startup DNA High agency thrive in fast-paced iterative environments with deep cross-functional collaboration.
Build the AI-powered future of eCommerce product discovery.
Move fast & own impactful projects in a startup-like high-agency culture.
Work directly with AI Data Science and Product teams to shape taxonomy & ontology strategies.
Get hands-on with AI/ML in a real-world high-scale environment.
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Full-Time