Data Scientist Co-op

Job Description:
Data Scientist Co-op
Co-op Duration: June 8, 2026 - December 11, 2026
Qualified Students: Students graduating in Spring 2027
Our Opportunity
We are hiring awesome humans, and we hope that includes you! Chewy is seeking a Data Scientist Co-op to join our team. In this role you will work with data scientists, engineers, and business partners to build, evaluate, and apply machine learning and analytics solutions to real-world problems. You'll explore diverse datasets, support modeling and analysis, and contribute to the development of scalable, AI-driven tools that drive smarter decisions across the business.
What You'll Do

• Support analytics and decision-making with data insights generated through machine learning

• Develop, assess, and track predictive models using established guidelines

• Apply ML techniques (e.g., regression, tree-based models, time series)

• Contribute to analytics workflows including feature engineering and model evaluation

• Leverage generative AI tools to improve efficiency and insight generation

• Conduct root-cause analysis and translate data into actionable insights

• Develop dashboards, reports, and data visualizations

• Collaborate with cross-functional teams to develop impactful solutions

• Learn and follow Chewy's standards for production analytics and responsible AI

What You'll Need

• Full-time enrollment in a master's degree program in a quantitative or technical discipline focused on Machine Learning or Artificial Intelligence, with an anticipated graduation date of Spring 2027

• Understanding of statistics, machine learning, and data analysis

• Proficiency in SQL and Python (academic, project, or internship experience acceptable)

• Familiarity with predictive modeling techniques

• Exposure to cloud-based analytics or strong desire to learn (AWS a plus)

• Ability to communicate complex results in a clear, straightforward way

• Experience with BI tools (e.g., Tableau)

• Strong communication and collaboration skills

• Current permanent U.S. work authorization required

• Ability to work 40 hours a week, Monday through Friday, from June 8, 2026 - December 11, 2026

Bonus

• Academic or project experience applying computational intelligence or applied AI to real-world datasets

• Exposure to GenAI tools or platforms used to support analytics, coding, or documentation workflows

• Interest in model interpretability, monitoring, and responsible AI practices

• Experience in e-commerce, retail, or other fast-paced environments

#LI-DNI
The hourly range for this role is $36.00.
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 [email protected].
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