Summary
Asi Messica is a seasoned VP of Data Science and academic lecturer with over two decades of experience translating research-grade recommender systems, Bayesian methods, NLP and reinforcement learning into product impact across companies like Lightricks, Fiverr and SAP. He holds a PhD in Recommender Systems and concurrently teaches the subject at Reichman University while conducting research at Ben-Gurion University, blending hands-on product leadership with rigorous academic inquiry. Asi has repeatedly scaled data science teams and shipping personalization and search features that improve user engagement and business metrics, moving fluidly between R&D, product, and executive roles. Known for integrating information retrieval and probabilistic modeling into production systems, he brings both deep technical mastery and practical product sense to complex personalization problems. Based in Israel, he combines a background in physics and neural networks with an MBA in marketing, a mix that helps him align ML innovation with real-world user and market needs.
10 years of coding experience
24 years of employment as a software developer
M.Sc. Physics Artifical Neuarl Networks, M.Sc. Physics Artifical Neuarl Networks at Tel Aviv University
MBA Marketing, MBA Marketing at Bar-Ilan University
Doctor of Philosophy (PhD) Information Systems and Software Engineering, Doctor of Philosophy (PhD) Information Systems and Software Engineering at Ben-Gurion University of the Negev