Data Scientist III

Chewy • Boston, MA

2d

About The Position

Chewy’s Marketing Science team uses AI, machine learning, and statistics to address business problems in marketing and serve the needs of pet parents. The team develops data science and AI products powered by machine learning and statistical models and agentic AI workflows, with a focus on measurement, optimization, and personalization.

The Data Scientist III will work across the full model development lifecycle, from ideation, analysis, architecture, and prototyping through tuning, experimentation, and production deployment. The role partners with marketing stakeholders, machine learning engineers, and other data scientists to identify opportunities, build solutions, and embed tools where they create business value. The position is based in Boston, Massachusetts.

Requirements

• An advanced degree (M.S., Ph.D., or equivalent experience) in Data Science, Statistics, Applied Mathematics, Computer Science, Physics, or a related field, or 5+ years of experience designing optimization and machine learning solutions at scale.
• Strong foundation in machine learning and statistical methods, including Bayesian inference, regression, classification, forecasting, time series, causal inference, and techniques such as tree-based models (e.g., XGBoost and Random Forest).
• Ability to understand and apply advanced mathematics and data science methodologies to complex business problems.
• Proficiency in Python for building proofs of concept and deploying production-ready solutions.
• Ability to translate business needs into AI and data science opportunities, with knowledge of marketing workflows, customer data, and campaign lifecycles.
• Proven ability to prototype quickly, iterate through experimentation, and operationalize models into production.
• Strong business acumen and problem-solving skills, including the ability to thrive in ambiguous, fast-paced environments and structure open-ended problems into actionable solutions.
• Excellent communication skills and ability to convey technical concepts to technical and non-technical stakeholders.
• An AI-native mindset: curious, creative, and eager to use the latest AI tools to accelerate marketing impact.

Nice To Haves

• Experience with marketing measurement and optimization, including budget allocation, marketing mix modeling, incrementality testing, and campaign performance optimization.
• Expertise in Bayesian statistics and hierarchical modeling.
• Experience with at least one cloud services provider, such as AWS, GCP, or Azure.
• Experience with ML platforms such as Databricks.

Responsibilities

• Lead end-to-end data science projects, from idea generation and offline evaluation through deployment, experimentation, feedback loops, and continuous model improvement.
• Build, evaluate, and deploy predictive, statistical, and machine learning models, including regression, forecasting, uplift, attribution, and causal inference models.
• Formalize assumptions about model behavior, systematically define and detect outliers, and implement fixes or improvements.
• Partner with marketing stakeholders to identify, scope, and prioritize AI and data science opportunities that create measurable business impact.
• Build internal AI copilots and assistants to enhance productivity, automate repetitive workflows, and accelerate campaign execution.
• Stay current with industry and technology trends to anticipate opportunities in AI and e-commerce.
• Communicate insights and recommendations verbally and in writing to audiences with varying technical expertise.

Benefits

• 401(k)
• New hire and annual equity grant; C08+ positions may also be eligible for an annual bonus.
• Medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident insurance.
• Parental leave, family services benefits, and backup dependent care.
• Flexible spending accounts, telemedicine, pet adoption reimbursement, and an employee assistance program.
• Discounts, including 10% off pet insurance and 20% off at Chewy.com.
• Unlimited PTO for exempt salary team members, subject to manager approval.
• Six paid holidays per year.
• Team members may be eligible for paid sick and family leave in accordance with applicable state and local regulations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level