Joe Long is a Senior Data Scientist with 11 years of experience who blends rigorous econometric training from a Northwestern PhD program with hands-on product-focused ML and data engineering. He has led causal impact evaluations for federal workforce programs, built large-scale NLP pipelines parsing 42 million job postings, and implemented matching algorithms used by state labor platforms and city internship programs. Comfortable translating complex methods into actionable product metrics, Joe has partnered with state and federal agencies to deploy reproducible analyses on millions of UI wage records. Now at CVS Health, he applies a rare mix of causal inference, topic modeling, and algorithmic matching to improve labor market outcomes and product experiences. An under-the-radar strength is his background in field research and experimental design, which informs pragmatic, policy-relevant solutions in production settings.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Economics, Doctor of Philosophy (PhD), Economics at Northwestern University
BA, Mathematics, Economics, BA, Mathematics, Economics at Williams College
Rewrite variable labels and variable entries with different encoding
Contributions:2 PRs, 3 pushes, 1 branch in 1 day
rewritevariableentriesencoding
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