Data Scientist III
About The Position
Chewy is looking for a Data Scientist III to join the Experimentation Platform (A/B testing) to join our team in Bellevue, WA or Boston, MA. Our platform supports hundreds of active internal users across multiple teams and organizations, enabling rigorous A/B testing to drive new customer experiences. In this role, you will play a key role in crafting and advancing measurement best practices and advanced methodologies across the business. This is a high-impact, high-visibility position that plays a meaningful role in how Chewy measures and implements customer-facing changes. You'll work cross-functionally with teams across the business, gaining exposure to diverse domains and influencing decision-making at the highest levels. Join a collaborative, fast-paced team where you'll tackle new challenges daily, contribute to meaningful outcomes, and grow alongside a platform that’s central to Chewy’s core business strategy.
Requirements
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Economics, Computer Science) or related experience.
- 5+ years Data Science experience.
- 4+ years of experience with A/B testing, preferably within an e-commerce environment.
- 4+ years of experience with causal inference techniques or modeling long-term treatment effects (Diff-in-diff, Propensity Score Matching, Causal Forest, etc...).
- Strong foundational knowledge in statistics (e.g., hypothesis testing, confidence intervals, variance reduction).
- Advanced object-oriented programming in Python.
- Advanced knowledge of SQL.
- Experience communicating insights to non-technical audiences.
- Familiarity with using LLMs and AI Agents to automate data and analytical workflows.
Responsibilities
- Apply statistical methodologies to design and analyze online experiments (e.g., A/B/n, MAB, holdouts).
- Develop relevant surrogate metrics for faster and more accurate experimentation considering full customer journey and tradeoffs.
- Build out and operationalize causal inference models to calculate annualized incremental lift.
- Build models to measure long-term impact using high value actions.
- Develop robust holdout design to measure aggregate impact, long term impact, and novelty effect
- Support experimentation platform users with guidance on test setup, metric selection, and hypothesis framing.
- Ensure quality of data and computation by developing monitoring and alerting mechanisms to catch spillovers and bias and provide guidance on step-wise identification of root-causes.
- Define and operationalize experimentation best practices, statistical and scientific methodologies and scalable frameworks for creating, monitoring, and learning from experiments.
- Build AI agents to optimize experiment workflows and knowledge retrieval.
Benefits
- 401k
- new hire and annual equity grant
- annual bonus
- medical/Rx insurance
- vision insurance
- dental insurance
- life insurance
- disability insurance
- hospital indemnity insurance
- critical illness insurance
- accident insurance
- parental leave
- family services benefits
- backup dependent care
- flexible spending accounts
- telemedicine
- pet adoption reimbursement
- employee assistance program
- 10% off pet insurance
- 20% off at Chewy.com
- unlimited PTO, subject to manager approval
- six paid holidays per year
- paid sick and family leave in compliance with applicable state and local regulations
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What This Job Offers
Job Type
Full-time
Career Level
Senior
