Director Data Science & Data Engineering

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