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Job Description

Chewy is hiring a Data Scientist III to join the Chewy Marketing Science team in Boston, MA (onsite). In this role, you will help build and deploy AI/ML solutions across the full model lifecycle, turning ideas into measurable marketing and customer impact.

What you’ll be doing

  • Own end-to-end data science work, from ideation and offline evaluation through deployment, experimentation, feedback loops, and continuous model improvement.
  • Develop and ship predictive, statistical, and machine learning models such as regression, forecasting, uplift, attribution, and causal inference.
  • Formalize assumptions about model behavior, detect outliers systematically, and implement improvements when issues are found.
  • Collaborate with marketing stakeholders to identify, scope, and prioritize AI and data science opportunities that drive business outcomes.
  • Build internal AI copilots and assistants to improve productivity, automate repetitive workflows, and speed up campaign execution.
  • Monitor industry and technology trends in AI and e-commerce to identify emerging opportunities.
  • Communicate insights and recommendations clearly to technical and non-technical audiences.

Requirements

  • Advanced degree (M.S. or Ph.D., or equivalent experience) in a relevant field, or 5+ years 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 tree-based models such as XGBoost and Random Forest.
  • Ability to apply advanced math and data science techniques to solve complex business problems.
  • Proficiency in Python to build proofs-of-concept and production-ready solutions.
  • Experience translating business needs into AI and data science opportunities, with knowledge of marketing workflows, customer data, and campaign lifecycles.
  • Track record of prototyping quickly, iterating through experimentation, and operationalizing models into production.
  • Business acumen and problem-solving skills in ambiguous, fast-paced environments.
  • Excellent communication skills for stakeholders across technical levels.
  • AI-native mindset with curiosity and enthusiasm for leveraging the latest AI tools.

Bonus (if applicable)

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

Tools you may use

Python, AWS, GCP, Azure, Databricks, XGBoost, Random Forest

Benefits

  • 401k plus a 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 coverage
  • Parental leave, family services benefits, backup dependent care
  • Flexible spending accounts
  • Telemedicine
  • Pet adoption reimbursement and 10% off pet insurance
  • 20% off at Chewy.com
  • Employee assistance program
  • Exempt salary team members have 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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