Data Scientist III

Job Description:

Our Opportunity:

Do you want to build data science solutions that directly impact the company’s bottom line? Do you want to see how your models, pipelines, and prototypes shape decision-making at the highest level? If so, the Chewy Marketing Science team is hiring!

We use advanced AI, machine learning, and statistics to understand and serve the needs of our pet parents. As part of the Marketing Science team, you will solve a wide range of business problems for marketing and Chewy customers—spanning measurement, optimization, and personalization, leveraging the full spectrum of statistics, machine learning, and cutting-edge AI.

Our team has single-threaded ownership of building data science and AI products powered by ML/Stats models and agentic AI workflows. In this role, you will have the opportunity to rapidly prototype solutions, proactively identify opportunities for innovation, and partner closely with marketing stakeholders to embed these tools where they drive the most value.

We are hiring a Data Scientist III in Boston, MA. You will work across the lifecycle of model development—ideation, analysis, architecture, prototyping, tuning, experimentation, and production deployment—while collaborating with MLEs and fellow data scientists to advance our technical capabilities. Join our high-achieving team and help shape the future of AI innovation at Chewy!

What You’ll Do:

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

What You’ll Need:

• 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 machine learning techniques such as tree-based models (e.g., XGBoost, Random Forest)
• Ability to understand and apply advanced mathematics and data science methodologies to solve complex business problems.
• Proficiency in Python for building proofs-of-concept and deploying production-ready solutions.
• Strong 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 - the a bility to thrive in ambiguous, fast-paced environments, structuring open-ended problems into actionable solutions.
• Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders
• An AI-native mindset—curious, creative, and eager to leverage the latest AI tools to accelerate marketing impact.

Bonus (if applicable):

• 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(AWS, GCP, Azure, etc.).
• Experience with ML platforms, e.g., Databricks.

• 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. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com .

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