Greg Faletto
Data Scientist Research, Payments
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolGreg Faletto is a data scientist and PhD-trained statistician who builds rigorous, production-ready causal inference and machine learning solutions to measure product and advertising impact. With nine years of experience spanning Google, VideoAmp, ZipRecruiter, and Live Nation, he translates messy real-world data into actionable metrics and scalable methodologies—from A/B testing improvements at Google to lift estimation for TV and streaming ad campaigns. His academic work (ICML, PNAS) produced open-source tools for rare-event probability estimation and clustered feature selection, and he has a track record of turning novel research into deployable code. Based in San Francisco, he combines deep probabilistic thinking with practical engineering (Python, R, SQL, Spark) and a knack for communicating complex results to product and business stakeholders. An unexpected strength is his live-event audio engineering background, which honed his calm problem-solving under tight real-world constraints.
9 years of coding experience
9 years of employment as a software developer
Physics, Physics at University of Cape TownDoctor of Philosophy - PhD, Data Science and Operations, Doctor of Philosophy - PhD, Data Science and Operations at University of Southern California - Marshall School of BusinessBachelor of Arts (B.A.), Physics, 3.85 GPA, Bachelor of Arts (B.A.), Physics, 3.85 GPA at Washington University in St. Louis
Spanish, English
Github Skills (10)
python-bindings5
simulation4
consistency4
stability3
simulations3
r2
kubernetes2
differential-evolution1
evolution1
optimization1
Programming languages (4)
Github contributions (5)
gregfaletto/cssr-project
Nov 2022 - Jan 2025
Contributions:4 PRs, 114 pushes, 1 branch in 2 years 2 months
gregfaletto/math-notes
Sep 2018 - Oct 2021
Contributions:35 commits, 29 pushes, 1 branch in 3 years
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