Ethan Homan
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEthan Homan is a data scientist and engineer with nine years of experience designing end-to-end data solutions and shaping data strategy at high-growth tech companies. He’s progressed from analytics and research roles into staff-level positions, most recently joining Meta after leading data teams and platform work at Syrup Tech and Better. Comfortable across the stack, Ethan combines software engineering rigor with statistical insight to productionize ML and analytics pipelines. Based in New York with a BA in Pure & Applied Mathematics from Boston University, he brings a rare mix of hands-on engineering, data strategy, and cross-functional leadership refined in startup and scale-up environments. Notably, his background spans both research-oriented roles and data engineering, giving him a practical edge in translating experimental models into reliable production systems.
9 years of coding experience
7 years of employment as a software developer
BA Pure & Applied Mathematics, BA Pure & Applied Mathematics at Boston University
Github Skills (6)
mixture8
exponential8
gaussian7
python4
database3
postgresql3
Programming languages (2)
Github contributions (5)
ethan-homan/gaussian-exponential-mixture
Oct 2019 - Feb 2021
A python package to help fit an mixture of a exponential and gaussian distribution to data
Contributions:21 commits, 39 pushes, 1 branch in 1 year 4 months
pythonexponentialfitgaussian-distributiongaussian
ethan-homan/FlashTextSpark
Feb 2020 - Aug 2021
an idiomatic port of FlashText.py to Java using streams
Contributions:3 pushes in 1 year 6 months
idiomaticpythonstreamspython3java
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