Summary
Connor Gilroy is a Senior Data Scientist in Seattle with 11 years of experience combining sociological theory and applied data science to solve social- and product-facing problems. With a PhD in Sociology from the University of Washington, he bridges rigorous research methods—Bayesian statistics, text and network analysis, agent-based modeling—with practical engineering skills like Python pipelines, SQL, and R-based analysis. He has applied this mix at Blue Rose Research and in industry internships at Meta/Facebook, where he built metrics and weighted-survey designs to inform product decisions. As a long-time instructor and TA he designs curricula and labs that translate complex quantitative concepts for undergraduates and grads, and he has organized regional computational social science training. Notably, his background includes building web crawlers and a Postgres-backed data pipeline for large-scale organizational research, reflecting a knack for turning messy social data into reproducible, analysis-ready datasets.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Sociology, Doctor of Philosophy - PhD, Sociology at University of Washington
Bachelor of Arts (B.A.), Biology/Biological Sciences, General, Bachelor of Arts (B.A.), Biology/Biological Sciences, General at The University of Chicago
English, Spanish, Japanese, French