Director Data Science & Data Engineering
Director Data Science & Data Engineering
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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.
Director Data Science & Data Engineering
Shape the Future of AIDriven eCommerce Discovery
About the Role
Were reimagining how people discover products in eCommerceand were looking for a visionary leader who blends technical depth with product intuition. If youre passionate about structured data large language models and building highimpact data products this role is tailormade for you.
As Director of Data Science & Data Engineering youll 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 AIpowered solutions.
Youll join the Product Knowledge org and play a key role in designing the backbone of nextgen search recommendations and generative AI experiences.
This is a highimpact highagency roleperfect for a handson leader who thrives in fastpaced collaborative environments.
What Youll Work On
Lead and inspire a crossfunctional team to:
Transform Product Data into Insights
Conduct deepdive 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 MLbased categorization systems.Drive DataInformed 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 highimpact data and AI solutions at scale.Experiment & Innovate Fast
Prototype quickly validate hypotheses and iterate on structured data and AIdriven 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
Handson experience with LLMs prompt engineering and RAG techniques (preferred)
Strong communication skills and ability to influence crossfunctional stakeholders
Experience evaluating ML models with custom metrics and robust frameworks
Startup mindsetcomfortable with ambiguity bias for action and fast iteration
Why Join Us
Be at the forefront of AIpowered product discovery in eCommerce
Own highimpact initiatives in a startupstyle culture with real autonomy
Work alongside worldclass talent across AI Product and Engineering
Build solutions that scaleserving millions of users and shaping the future of shopping
Ready to lead the next wave of AI Data innovation in commerce Lets build the future together.
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Required Experience:
Director
Employment Type
Full-Time
