Responsibilities
- You will deploy advanced algorithms and data science to simplify the shopping experience for pet parents. This will improve the reach and discovery of new Chewy vendor products and help build an ecosystem where everyone benefits.
- Directly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions
- You will lead new models from ideation to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications
- Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using innovative modelling
- Establish high bar on model performance, establish applied-science implementation guidelines and mentoring junior scientists
- Deploy solutions at Chewy scale improving overall customer engagement and value for Pet Parents
- Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and business customers with varying levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations
Basic qualifications
- Full-time enrollment in a PhD program in Operations Research, Statistics, Applied Mathematics, Data Science or related field with an anticipated graduation date of Spring 2027
- Ability to understand and apply sophisticated mathematics and DS methodologies
- Experience in building distributed pipeline, tuning, optimizing and evaluation
- Experience with Sponsored Ads or Advertisement domain
- Experience with multiple techniques that include Predictive Models (Time Series and Regression), Linear Programming, and Classification, Search, Ranking or large-scale embeddings
- Ability to translate complex data sets and research into simple business recommendations
- Current permanent U.S. work authorization
- Availability to work 40 hours per week, Monday through Friday, for the full duration of the co-op: June 8, 2026 – August 14, 2026
Preferred qualifications
- Experience in e-commerce or retail
- Prior experience in Advertising systems a huge plus
- Experience with ML Services in AWS (SageMaker, Personalize) or equivalent
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Machine Learning Deep Learning Generative Ai Ai