Summary
Caitlyn Dang is a Senior Data Scientist based in Santa Monica with seven years of experience building production ML and statistical models across startups and large enterprises. She joined Glue as the first data science hire at a Series A startup, helped build models that quantified workplace connections, and saw the company through a private-equity exit. At Microsoft she transitioned from financial analysis to applied science, and now focuses on detecting healthcare Fraud, Waste, and Abuse at Oscar Health. Caitlyn combines rigorous statistical training from Harvard with practical engineering instincts to ship reliable, auditable models in regulated domains. Colleagues describe her as a pragmatic problem-solver who thrives where product, compliance, and data science intersect.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Statistics, secondary in Computer Science, Bachelor's degree, Statistics, secondary in Computer Science at Harvard University
English