Ebay Senior Manager Data Science 

India, Karnataka, Bengaluru 

87944330

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 , 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 embedded in our , 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 & 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

• 10+ years of experience in analytics, data science, or ML roles

• 2+ years leading teams or cross-functional projects

• 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