DataScience Manager Knowledge Management
- Bangalore, Karnataka
- Permanent
- Full-time
At the intersection of AI, data science, and product discovery, we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real.As Manager of Data Science – Knowledge Management, you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics.This is a high-agency, high-impact role embedded in our Product Knowledge organization, where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage.What You’ll Lead & DeliverOptimize 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 Bring7+ years of experience in analytics, data science, or ML rolesAdvanced proficiency in SQL and Python for analytics, automation, and experimentationFamiliarity with eCommerce discovery, product classification, and search or recommendation systemsHands-on experience with LLMs, prompt engineering, or RAG (preferred but not required)Strong grasp of model evaluation, including metrics design and benchmarkingA startup mindset—bias for action, high ownership, and comfort with ambiguityExcellent communicator with the ability to influence cross-functional stakeholdersWhy You’ll Love It HereDrive real impact at the core of product discovery innovationWork hands-on with cutting-edge AI and data platformsCollaborate with some of the best minds in AI, Product, and EngineeringOwn high-visibility projects in a startup-like, high-trust cultureBuild scalable, magical, and relevant product data systems used by millionsPlease see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.