Data Scientist III

ChewyBoston, MA
Hybrid

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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