Summary
Youngjae Jang is a data leader and Ph.D. graduate from KAIST with nine years of experience turning complex data into business impact across startups and scale-ups. Currently leading data analytics at Toss, he has built end-to-end analytics stacks, standardized KPI layers (Bronze/Silver/Gold), and produced executive dashboards that bridge product, marketing, and finance. His background blends rigorous causal inference and experiment design with practical ML and automation—examples include MMM work using Meta's Robyn and R Shiny tooling for company-wide insight delivery. He has steered pricing, recommendation, and token-economy designs that meaningfully improved unit economics and supported fundraising through scenario-driven planning. Known for operationalizing analytics (automated metric pipelines and OKR-aligned economic models), he moves teams from insight to repeatable decisioning. Based in Seoul, he combines academic depth in operations strategy with hands-on product analytics and a knack for translating math-heavy models into commercial outcomes.
9 years of coding experience
Exchange Student Mathematics, Exchange Student Mathematics at KTH Royal Institute of Technology
Doctor of Philosophy - PhD Operations Strategy and Management Science, Doctor of Philosophy - PhD Operations Strategy and Management Science at KAIST COLLEGE OF BUSINESS
Daegu Science High School
Bachelor's degree Mathematical Sciences, Bachelor's degree Mathematical Sciences at Korea Advanced Institute of Science and Technology
Korean, English