Summary
William Kye is a product-focused Senior Data Scientist with a decade of experience turning social-science rigor into growth-driving data products across startups and enterprise teams. Trained as a Ph.D. student in sociology at Notre Dame, he combines causal inference and hierarchical modeling expertise with practical ML engineering—shipping A/B testing frameworks, fraud detection models, and automated KPI pipelines. Based in Tokyo, he has led growth analytics and experimentation at companies like Clockwise, CircleCI, and Woven by Toyota, optimizing funnels and forecasting usage to inform product decisions. Multilingual and polyglot in code (Java, Python, Go), he brings a rare mix of academic depth, global perspective, and hands-on engineering to bridge research and production. An often-overlooked strength is his track record of building reusable tooling (e.g., internal AB testing packages and Plotly-driven visualizations) that scales analytic practices across teams.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA, Sociology, 3.65, Bachelor of Arts - BA, Sociology, 3.65 at Wheaton College
[Unfinished] Doctor of Philosophy - PhD, Sociology, [Unfinished] Doctor of Philosophy - PhD, Sociology at University of Notre Dame
English, Korean, Spanish