Data Scientist III
About the role
The Experimentation Platform at Chewy supports hundreds of active internal users across multiple teams and organizations, enabling rigorous A/B testing to drive new customer experiences. As a Data Scientist III, you will play a key role in crafting and advancing measurement best practices and advanced methodologies across the business.
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.
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.
Qualifications
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.
Skills
Statistical Methodologies
A/B Testing
Causal Inference Techniques
Surrogate Metrics Development
Holdout Design
Long-Term Impact Measurement
AI Agent Optimization
Benefits
401(k)
New Hire and Annual Equity Grant
Annual Bonus Eligibility
Medical/Rx
Vision
Dental
Life Insurance
Disability Insurance
Hospital Indemnity
Critical Illness Insurance
Accident Insurance
Parental Leave
Family Services Benefits
Backup Dependent Care
Flexible Spending Accounts
Telemedicine
Pet Adoption Reimbursement
Employee Assistance Program
Discounts (e.g., 10% off pet insurance, 20% off at Chewy.com)
Pay
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location.
Schedule
Included in this job posting is the schedule for this role. Please refer to the job description for details.