Director – Data Science & Data Engineering

About the job

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re 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. We're 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. Director – Data Science & Data Engineering Shape the Future of AI-Driven eCommerce Discovery About the Role We're reimagining how people discover products in eCommerce—and we're looking for a visionary leader who blends technical depth with product intuition. If you're passionate about structured data, large language models, and building high-impact data products, this role is tailor-made for you. As Director of Data Science & Data Engineering, you’ll lead a talented team of data scientists, analysts, and engineers working at the cutting edge of AI/ML, product analytics, and taxonomy design. Your mission? Drive innovation in product discovery through smarter data, scalable infrastructure, and breakthrough AI-powered solutions. You’ll join the Product Knowledge org and play a key role in designing the backbone of next-gen search, recommendations, and generative AI experiences. This is a high-impact, high-agency role—perfect for a hands-on leader who thrives in fast-paced, collaborative environments. What You’ll Work On Lead and inspire a cross-functional team to: • Transform Product Data into Insights Conduct deep-dive SQL and Python analyses to uncover opportunities in taxonomy, ontology, and catalog structure that enhance discovery and user experience. • Harness the Power of Generative AI Use prompt engineering and LLMs to create innovative tools for classification, taxonomy validation, and data enrichment. • Build & Evaluate AI/ML Models Design frameworks to evaluate product knowledge models, semantic embeddings, and ML-based categorization systems. • Drive Data-Informed Strategy Translate complex findings into clear, actionable insights for Product and Engineering teams. Influence roadmap decisions on entity resolution, catalog optimization, and knowledge graph development. • Partner Across Functions Collaborate closely with Applied Research, Engineering, and Product teams to build and deploy high-impact data and AI solutions at scale. • Experiment & Innovate Fast Prototype quickly, validate hypotheses, and iterate on structured data and AI-driven solutions that push boundaries. What You Bring • 12+ years of experience in data science or analytics roles, including 5+ years leading teams • Proven track record building data products, knowledge graphs, and scalable data pipelines • Deep understanding of eCommerce search, recommendation systems, and product analytics • Hands-on experience with LLMs, prompt engineering, and RAG techniques (preferred) • Strong communication skills and ability to influence cross-functional stakeholders • Experience evaluating ML models with custom metrics and robust frameworks • Startup mindset—comfortable with ambiguity, bias for action, and fast iteration Why Join Us • Be at the forefront of AI-powered product discovery in eCommerce • Own high-impact initiatives in a startup-style culture with real autonomy • Work alongside world-class talent across AI, Product, and Engineering • Build solutions that scale—serving millions of users and shaping the future of shopping. Ready to lead the next wave of AI + Data innovation in commerce? Let’s build the future together.

Requirements

• AI
• Data Science
• Data Engineering
• SQL
• Python
• Machine Learning

Qualifications

• 12+ years of experience in data science or analytics roles
• 5+ years leading teams

Preferred Technologies

• AI
• Data Science
• Data Engineering
• SQL
• Python
• Machine Learning

About the company

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.