Chewy Marketing Science team is looking to apply machine learning, AI, and statistical modeling to better understand and serve their customers, unlock smarter and more meaningful ways to connect with customers, and build the next generation of AI-powered insights that shape the way Chewy connects with pet parents everywhere.
Requirements
- Strong foundation in machine learning and statistical methods, including Bayesian inference, regression, classification, forecasting, time series, causal inference, and machine learning techniques such as tree-based models (e.g., XGBoost, Random Forests), neural networks, and clustering methods.
- Ability to understand and apply advanced mathematics and data science methodologies to solve complex business problems.
- Hands-on expertise with LLMs and Generative AI frameworks and LLM ecosystems (g., LangChain, Hugging Face, OpenAI, Anthropic, vector databases).
- Proficiency in Python (and ideally SQL/ML pipelines) for building proof-of-concepts and deploying production-ready solutions.
- Proven ability to prototype quickly, iterate through experimentation, and operationalize models into production.
- Expertise in Bayesian statistics and hierarchical modeling
- Experience with at least one cloud services provider(AWS, GCP, Azure, etc.).
Responsibilities
- Lead end-to-end data science projects—from idea generation and offline evaluation to deployment, experimentation, feedback loops, and continuous model improvement.
- Build, evaluate, and deploy predictive, statistical, and machine learning models (e.g., regression, forecasting, uplift, attribution, causal inference, deep learning)
- Formalize assumptions about model behavior, define and detect outliers systematically, and implement fixes or improvements where needed.
- Partner with marketing team members to identify, scope, and prioritize AI and data science opportunities that create measurable business impact.
- Build internal AI copilots and assistants that enhance productivity, automate repetitive workflows, and accelerate campaign execution.
- Stay ahead of industry and technology trends to anticipate emerging opportunities in AI and e-commerce.
- Communicate insights and recommendations clearly—both verbally and in writing—to audiences with varying technical expertise.
Other
- Advanced degree (M.S., Ph.D., or equivalent experience) in Data Science, Statistics, Applied Mathematics, Computer Science, Physics, or a related field, or 4+ years of experience designing optimization and machine learning solutions at scale.
- Strong ability to translate business needs into AI and data science opportunities, with knowledge of marketing workflows, customer data, and campaign lifecycles.
- Strong eye for business and problem-solving skills - the ability to thrive in ambiguous, fast-paced environments, structuring open-ended problems into actionable solutions.
- Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical partners
- An AI-native mindset—curious, creative, and eager to harness the latest AI tools to accelerate marketing impact.
