Alireza Mohseni
Executive Director Of Data Science
New York, New York, United States
Summary
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Senior🎓
Top SchoolAlireza Mohseni is an Executive Director of Data Science based in New York with 11 years of experience building AI/ML solutions across fintech, healthcare, and e-commerce. He has a strong track record translating research-grade methods—LLMs/GenAI, causal inference, reinforcement learning, and recommendation systems—into production that measurably improves business metrics. At American Express he led consumer product data science teams to deliver large-scale ML frameworks for CLV inference, GenAI/NLP, and RL pricing, and now drives data science strategy at J.P. Morgan Asset Management. He combines a PhD in Industrial Engineering and Statistics with hands-on engineering roots from OSU, enabling rigorous experimental design, uplift modeling, and robust model governance. Notably, his background spans both academic research and production engineering, giving him an uncommon ability to operationalize advanced models while strengthening automation and compliance.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Industrial Engineering and Statistics, Doctor of Philosophy (Ph.D.) Industrial Engineering and Statistics at Oregon State UniversityBachelor of Science (B.S.) Industrial Engineering, Bachelor of Science (B.S.) Industrial Engineering at Sharif University of Technology
English, Persian
Github Skills (2)
transit8
visualization6
Programming languages (1)
Github contributions (5)
mohsenis/Hokm
May 2015 - Jun 2015
Contributions:26 commits, 2 pushes, 8 branches in 1 month
mohsenis/thesis
Jul 2016 - Sep 2017
Contributions:10 pushes, 1 branch in 1 year 1 month
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