Director Data Science & Data Engineering

Key Skills

Aartificial intelligence, Data Engineering, Data pipelines, Data science techniques, Ecommerce, Large Language Models - LLMs, Python Programming, SQL

Job Description

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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