Summary
Leon Liao is a data scientist with 11 years of experience applying statistical modeling and data engineering to product and business problems, currently driving analytics at 2U in New York. He combines a Columbia MA in Statistics and a strong math/stat background from Peking University with hands-on experience building predictive models, batch data quality pipelines, and data warehousing. Leon has supported product managers with actionable insights and implemented parallelized model training frameworks early in his career for consulting and startup clients. His background spans industry analytics roles from energy and publishing to edtech, giving him a knack for translating domain questions into reproducible, production-ready analyses. Colleagues would note his blend of rigorous statistical thinking with practical engineering—designing schemas, automating ETL, and optimizing models for scale. He often pairs exploratory data analysis with pragmatic pipeline improvements, reducing friction between data science and data engineering.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS) Mathematics and Statistics, Bachelor of Science (BS) Mathematics and Statistics at Peking University
Master of Arts (MA) Statistics, Master of Arts (MA) Statistics at Columbia University
Chinese