Summary
Daehyun Kim is a Staff Data Scientist in Los Angeles with a decade of analytics experience and eight years focused on marketing data science, specializing in marketing mix models, attribution, LTV, propensity modeling, and causal inference. He has driven measurable business impact at Hulu and HBO Max—improving marketing ROI by over 20% and reducing subscription acquisition cost by more than a third—while owning end-to-end model lifecycles and testing frameworks like geo-lifts and incrementality tests. Comfortable shipping production models and tooling, he built self-serve R Shiny solutions and productionized propensity models that shifted acquisition strategy. Trained in applied statistics (UCLA) and computational math/mechatronics (University of Washington), he blends rigorous quantitative methods with engineering pragmatism to turn complex causal questions into actionable budget optimization.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) Applied Computational Math and Sciences (Discrete Math and Algorithms), Bachelor of Science (B.S.) Applied Computational Math and Sciences (Discrete Math and Algorithms) at University of Washington
University of California, Los Angeles
English, Korean