Director Data Science & Data Engineering

Reposted 17 Days Ago
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Bengaluru, Karnataka
In-Office
Senior level
eCommerce • Retail
The Role
Lead and inspire a team in AI/ML product discovery, transforming product data into insights, driving data-informed strategy, and innovating with structured data solutions.
Summary Generated by Built In

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.

Please see the Talent Privacy Notice 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 [email protected]. 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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Top Skills

AI
Data Analytics
Data Products
Llms
Ml
Python
Scalable Data Pipelines
SQL
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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world.

We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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