Director, Data Science
$198,500–$300,000 year
On-siteBellevue, Washington, United States
Job Summary
Own and lead all Ads Data Science strategy and production implementation for Chewy's onsite and offsite channels. Direct supply-side algorithms for search, relevance, and real-time bidding alongside demand-side systems for budgeting, pacing, and ROAS optimization. Build the intelligence layer using modern AI, including LLM-powered creative assistance, keyword recommendations, and automated bidding copilots. Lead a high-performing team of data scientists, setting standards for modeling, experimentation, and MLOps excellence. Partner with Product and Engineering to ship scalable systems that improve shopper relevance and advertiser ROI. Define Chewy Ads' AI strategy, translating complex scientific work into clear recommendations for senior leadership.
Required Qualifications
- Advanced degree (M.S., PhD, or equivalent experience) in a quantitative field (e.g., CS, ML, Statistics, OR, Applied Math, Data Science)
- 10+ years building and leading large-scale ML/optimization systems
- Proven experience leading data scientists / applied scientists and owning end-to-end science delivery in production
- Deep hands-on fluency with modern ML for ranking and prediction at scale: deep learning, embeddings, retrieval, multi-objective optimization, and online experimentation
- Experience with advertising optimization systems spanning supply and demand—auctions, real-time bidding, pacing, budget allocation, keyword/bid recommendations, auto-campaign optimization, and ROAS optimization under real-time, constrained-spend settings
- Demonstrated experience productizing LLMs / generative AI in real systems (e.g., RAG, agentic workflows, evaluation harnesses, quality/safety controls)
- Strong foundation in mathematics, statistics, and scientific method
- Exceptional communication: able to influence senior executives and cross-functional partners with clarity and technical credibility
- Direct experience in digital advertising / retail media / sponsored products
- Ecommerce or retail marketplace experience
- Experience with cloud ML platforms (e.g., AWS SageMaker or equivalent) and modern GenAI tooling
- Track record of hiring and developing senior scientific talent
Desired Qualifications
- ideally in ads, search, recommendations, personalization, or marketplace systems
- Direct experience in digital advertising / retail media / sponsored products
- Ecommerce or retail marketplace experience
- Experience with cloud ML platforms (e.g., AWS SageMaker or equivalent) and modern GenAI tooling
- Track record of hiring and developing senior scientific talent
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