Adam Lauretig
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAdam Lauretig is a Data Scientist with nine years of experience applying causal inference, Bayesian statistics, and NLP to hard-to-measure problems in finance, public policy, and ESG research. Currently at Barclays Investment Bank, he builds Python/Spark tooling to operationalize alternative data for sell-side research and authors sector studies on remote work, ESG hiring, and portfolio optimization. A former lead data scientist at JUST Capital and a Ph.D. in Political Science from Ohio State, he has implemented hierarchical Bayesian choice models and created an R/C++ package for Bayesian word embeddings. He combines rigorous academic training with production-focused engineering—regularly shipping models in Python, R, Stan, SQL and Spark—and has worked with datasets ranging into the tens of millions of records. Outside of work he’s an avid road and gravel cyclist, logging unusually high annual mileage, which underscores his persistence and attention to incremental gains.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Political Science and Government, Russian, Central and Eastern European Studies, Bachelor of Arts (B.A.), Political Science and Government, Russian, Central and Eastern European Studies at Grinnell CollegeDoctor of Philosophy (PhD), Political Science and Government, Doctor of Philosophy (PhD), Political Science and Government at The Ohio State University
Github Skills (79)
text-analytics9
corpus8
bayesian8
quanteda8
r-package8
mcmc7
bayesian-inference7
quantitative7
text-mining7
statistical-inference7
probabilistic7
hpc-cluster6
probabilistic-programming6
textual6
sampler6
Programming languages (5)
Github contributions (5)
adamlauretig/quant_1_code
Sep 2018 - Nov 2018
Contributions:19 commits, 16 pushes, 1 branch in 2 months
adamlauretig/ny_r_talk
Dec 2019 - Jan 2020
Contributions:40 commits in 22 days
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