Senior Manager Data Science
Senior Manager Data Science
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Job Description
At 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.
Senior Manager (II) Data Science Knowledge Management
Power the Future of Product Discovery Through Data AI and Structured Intelligence
About the Role
At the intersection of AI data science and product discovery were crafting the next generation of eCommerce experiencesand were looking for a dynamic leader to help make that vision real.
As Senior Manager of Data Science Knowledge Management youll be a key architect behind the structured data that fuels search recommendations and AI-driven personalization. Youll 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 youll 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 Youll 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 teamsdriving 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 mindsetbias for action high ownership and comfort with ambiguity
Excellent communicator with the ability to influence cross-functional stakeholders
Why Youll 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
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Required Experience:
Senior Manager
Employment Type
Full-Time
