Jake Sherman
Staff Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJake Sherman is a Staff Data Scientist in Seattle with 11 years of experience building machine learning and recommendation systems across health wearables, gaming, fashion, digital advertising, and labor-market analytics. He has led small data science teams, created technical roadmaps, and shipped production-grade Python packages and data pipelines to scale models on multi-billion-row datasets. At True Fit he authored a paper on offline evaluation for fashion recommendations and improved personalization by modeling shopper intent, boosting offline metrics significantly. His work at Burning Glass produced production classifiers and taxonomy tooling that processed millions of job postings daily, demonstrating a knack for turning research into reliable product services. Jake combines hands-on modeling and software design with cross-functional coordination between product and engineering, and he maintains a public presence at jakesherman.com. An early background in economics and music hints at his analytical rigor paired with creative problem framing.
11 years of coding experience
9 years of employment as a software developer
Bachelor's Degree Economics; Music Minor, Bachelor's Degree Economics; Music Minor at Bates College
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (66)
htop9
pandas9
monitoring9
python9
operating-system9
random-forest9
restful-api9
restful9
gnu9
binary-classification9
r-package9
data-visualization8
linux8
r8
h2o8
Programming languages (8)
Github contributions (5)
jakesherman/fonoapi
Jul 2017 - Oct 2019
:iphone: Python wrapper for FonoApi, which provides mobile device information
Contributions:4 releases, 16 commits, 2 PRs in 2 years 2 months
iphonemobilepython
jakesherman/dependency_algorithm
Aug 2016 - Jan 2021
Algorithm for resolving dependencies in Python
Contributions:1 release, 17 commits, 2 PRs in 4 years 5 months
python
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