You will deploy machine learning and data science to simplify the shopping experience for pet parents, improve the reach and discovery of new products of Chewy vendors, and help create an outcome where everybody wins the ecosystem.
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 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 a high bar on model performance, establish applied science implementation standard processes, and mentor 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.
Requirements & Skills:
An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science, or related field or 5+ years’ experience designing optimization and machine learning solutions for large-scale applications.
Ability to understand and apply advanced mathematics and DS methodologies.
Experience in building distributed pipelines, tuning, optimizing, and evaluating.
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 sophisticated data sets and research into simple business recommendations.
