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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Data Science - **Company:** Chewy, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $198,500.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Ad Management, Artificial Intelligence, Amazon Web Services, Azure Machine Learning, Large Language Models, Deep Learning, Generative AI, Machine Learning Operations - **Published:** August 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=affff1675b15c63b ## About the Role * Advanced degree (M.S., PhD, or equivalent experience) in a quantitative field (e.g., CS, ML, Statistics, OR, Applied Math, Data Science), or 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-ideally in ads, search, recommendations, personalization, or marketplace systems. * 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)-ideally in ads, search, or ecommerce. * Strong foundation in mathematics, statistics, and scientific method; a high bar for model quality, causal measurement, and production reliability. * Experience operating distributed training/serving pipelines and partnering with Engineering on scalable deployment. * Exceptional communication: able to influence senior executives and cross-functional partners with clarity and technical credibility. Nice to Have * 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. ## Description You will lead a team of data scientists building the intelligence layer across the full advertising marketplace: * (a) Supply-side algorithms - search, relevance, ranking, real-time bidding, bid-boosting, premium positioning, and dynamic auctions. * (b) Demand-side algorithms - budgeting, pacing, budget allocation/reallocation, keyword recommendations, bid recommendations, campaign setup and auto-optimization, and advertiser ROAS optimization. * (c) Portfolio management - orchestrating Chewy's onsite and offsite Ads portfolio for optimal, balanced performance across shopper experience, advertiser outcomes, and Chewy revenue. This is a rare seat: you will define how modern AI-LLMs, generative AI, foundation models, and multimodal systems-shows up in a real advertising marketplace, not as demos, but as durable production systems that move customer and advertiser outcomes at scale. As a core member of Ads leadership, you'll partner closely with Product, Engineering, and business partners, and represent Ads science to Chewy senior leadership. What You'll Own * Full ownership of Chewy Ads Data Science across onsite and offsite channels-strategy, roadmap, model portfolio, delivery, and scientific quality bar. * Lead, grow, and mentor a high-performing team of data scientists; set standards for modeling, experimentation, MLOps, and research-to-production excellence. * Advance state-of-the-art applied science across the three pillars above: embeddings and representation learning, CTR/CVR prediction, multi-objective ranking, auction and bidding dynamics, budget optimization, ROAS optimization, causal measurement, and marketplace balance. * Define and execute Chewy Ads' AI / GenAI strategy, including LLM-powered workstreams such as: + Generative creative and offer assistance + Intelligent keyword and query recommendation + Bid recommendation and automated bidding guidance + Auto-campaign setup and optimization copilots for advertisers + Retrieval-augmented systems for relevance, discovery, and ranking quality * Partner with Product and Engineering to ship production systems that improve shopper relevance, advertiser ROI/ROAS, and Ads business performance. * Establish rigorous experimentation and decision frameworks so science investments map clearly to customer and revenue impact. * Represent Ads science to senior leadership-translating complex work into clear strategy, tradeoffs, and recommendations. * Raise Chewy's external scientific presence through publications, talks, and recruiting at leading ML/AI/advertising venues (encouraged, not required). ## Related Videos - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)