Kevin Cooney

Kevin Cooney is a lecturer in data science and analytics at Northeastern University. Cooney brings over 15 years of experience leading AI, data science, and machine learning teams across major technology companies, including Chewy, Amazon, TripAdvisor, Fandom, and StubHub. His career has centered on building advanced AI and analytics systems that transform organizational decision-making, with expertise spanning large language models (LLMs), econometrics, and applied machine learning.

At Chewy, Cooney directed HR data science and AI, developing predictive analytics and LLM-based applications to improve employee experience and operational efficiency. Previously at Amazon, he managed more than 35 data scientists focused on workforce research, experimental design, causal inference, and product innovation. He has also led data science organizations in travel, entertainment, and digital media.

Cooney’s teaching and research interests include applied statistics, survey design, causal inference, AI-driven decision systems, and data visualization. He has taught courses in research methods, statistics, and marketing research, and continues to focus on making complex technical methods accessible to business audiences. His research has been published in journals such as the Journal of Marketing and The DATA BASE for Advances in Information Systems.