At Chewy, the Sponsored Ads team is looking to solve the problem of enhancing the ecommerce ecosystem through innovative advertising offerings. The goal is to create a win-win scenario for shoppers, brand owners, and Chewy by leveraging machine learning and deep-learning models to improve ad selection, relevance, ranking, and auction dynamics.
Requirements
- An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for atleast 3 years crafting optimization and machine learning solutions for large scale applications.
- 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.
- Experience in e-commerce or retail.
- Prior experience in Advertising systems a huge plus.
Responsibilities
- You will deploy machine learning and data-science to simplify shopping experience for pet-parents, to maximize reach and discovery of new products of Chewy vendors and helping build a win-win 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 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 best practices 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.
Other
- An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for atleast 3 years crafting optimization and machine learning solutions for large scale applications.
- 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.
- 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.
- 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.
