Data Science Manager Knowledge Management

What You ll Lead Deliver Optimize Product Knowledge at Scale Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery. Build LLM-Powered Solutions Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence. Design Model Evaluation Frameworks Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems. Turn Data into Strategy Translate insights into action by partnering with Product, Engineering, and AI teams driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution. Prototype Experiment Rapidly Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions. Partner for Production Impact Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems. What You Bring 7+ years of experience in analytics, data science, or ML roles Advanced proficiency in SQL and Python for analytics, automation, and experimentation Familiarity with eCommerce discovery , product classification, and search or recommendation systems Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required) Strong grasp of model evaluation , including metrics design and benchmarking A startup mindset bias for action, high ownership, and comfort with ambiguity Excellent communicator with the ability to influence cross-functional stakeholders Why You ll Love It Here Drive real impact at the core of product discovery innovation Work hands-on with cutting-edge AI and data platforms Collaborate with some of the best minds in AI, Product, and Engineering Own high-visibility projects in a startup-like, high-trust culture Build scalable, magical, and relevant product data systems used by millions