Director Data Science & Data Engineering

This job is with eBay, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.

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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 talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement

to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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