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