Data Scientist, Knowledge Management

Overview

Data Scientist, Knowledge Management to build AI-driven product discovery by shaping taxonomy/ontology and improving structured catalog data for search, recommendations, and AI experiences.

What you'll do

• Run deep SQL and Python analyses to find opportunities in taxonomy, ontology, and structured data for search and discovery.
• Use prompt engineering to create LLM-driven approaches for taxonomy validation, data enrichment, and classification.
• Develop evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
• Deliver data-driven storytelling to influence product and AI decisions on catalog optimization, entity resolution, and knowledge graph development.
• Collaborate with AI/ML and Engineering teams to test and refine AI classification, search ranking, and recommendation models.
• Prototype and experiment by testing hypotheses and building quick experiments to validate structured data and AI discovery improvements.

What you'll need

• 4+ years experience in analytics/data science role.
• Proficiency in SQL for data wrangling, analytics, and automation.
• Proficiency in Python for data wrangling, analytics, and automation.
• Familiarity with eCommerce search, recommendations, and knowledge graph applications.
• Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
• Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights.
• Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models.

Details

• Embedded in the Product Knowledge org.