Data Scientist III

Posted 7 Days Ago
Boston, MA
Hybrid
Mid level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere.
The Role
Lead data science projects, build AI solutions, partner with marketing, prototype GenAI tools, communicate insights, and improve models. Requires advanced degree or 4+ years experience in data science and machine learning.
Summary Generated by Built In
Our Opportunity:
Do you want to build AI 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, 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 predictive modeling, causal inference, and next-generation AI applications. Our team has single-threaded ownership of building data science and AI products powered by ML/Stats models, agentic AI workflows. In this role, you will have the opportunity to rapidly prototype GenAI and agentic AI 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 and Bellevue, WA. 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.
  • 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 opportunities that create measurable business impact.
  • Rapidly prototype and test GenAI and agentic AI solutions to address high-impact marketing challenges.
  • 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.
  • Collaborate with a team of passionate data scientists and machine learning engineers working across AI, search, and personalization.

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 4+ 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 Forests), neural networks, and clustering methods.
  • Ability to understand and apply advanced mathematics and data science methodologies to solve complex business problems.
  • Hands-on expertise with LLMs and Generative AI frameworks (e.g., LangChain, Hugging Face, OpenAI, Anthropic, vector databases).
  • Experience in rapid prototyping and experimentation, including prompt engineering, few-shot techniques, and fine-tuning LLMs for domain-specific tasks.
  • Proficiency in Python (and ideally SQL/ML pipelines) for building proof-of-concepts and deploying production-ready solutions.
  • Strong ability to translate business needs into AI opportunities, with knowledge of marketing workflows, customer data, and campaign lifecycles.
  • Passion for emerging AI trends and the initiative to proactively surface and test new applications.
  • Ability 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.

Bonus (if applicable):
  • Experience with at least one cloud services provider(AWS, GCP, Azure, etc.).
  • Experience with ML platforms and frameworks, e.g., Databricks.
  • Familiarity with reinforcement learning techniques

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 [email protected].
To access Chewy's Customer Privacy Policy, please click here.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Top Skills

AI
Anthropic
AWS
Azure
Bayesian Inference
Classification
Databricks
Forecasting
GCP
Generative Ai Frameworks
Hugging Face
Langchain
Llms
Machine Learning
Neural Networks
Openai
Python
Random Forests
Regression
SQL
Statistics
Time Series
Xgboost

What the Team is Saying

Charles
Olivia
Mark
Victoria
Sumit
Zack
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The Company
HQ: Boston, MA
20,000 Employees
Year Founded: 2011

What We Do

We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.

We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.

At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.

Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.

We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.

We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.

Our culture is for those who thrive on delivering results and becoming your best—no matter your role or location. At Chewy, our Operating Principles serve as a common language, or framework, that connects two of Chewy's most valuable elements—our people and our culture. The Operating Principles guide our character, capabilities, imagination, and methods for execution in support of our company's mission.

Why Work With Us

We're proud to be one of the fastest growing e-commerce companies of all time.

With growth comes the exciting opportunity to be a part of a world-class organization of engineering, product, and design team members, responsible for driving our latest innovations and designing "out-of-the Chewy box" experiences.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
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