Paul Siegel
Senior Machine Learning Engineer at Turing Labs Inc.
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPaul Siegel is a Senior Machine Learning Engineer with a decade of experience applying mathematical rigor to solve business problems, currently leading ML efforts at Turing Labs in Boston. He progressed from a PhD and an academic career in mathematics to principal data science and product leadership roles at Brandwatch, where he built statistical models and championed robust research methods for social media analytics. Paul combines deep theoretical grounding with product-facing execution, bridging research, engineering, and customer impact. He is comfortable owning the end-to-end lifecycle of ML products—from experimental design and modeling to deployment and measurement. Colleagues describe him as a scientific pragmatist who elevates methodological standards while delivering practical outcomes. His background suggests a rare fluency in translating advanced math into scalable, revenue-driving analytics.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at University of MichiganDoctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at Penn State University
Stackoverflow
1,401reputation
70kreached
5answers
42questions
Github Skills (95)
python10
data-manipulation10
word-segmentation10
dataframes10
pandas10
data-science10
data-analysis10
manipulation10
data-structures10
frame10
text-based9
tokenizer9
natural-language-generation9
neural-machine-translation9
chrome-extension9
Programming languages (9)
Github contributions (5)
pwsiegel/dotfiles
Apr 2017 - Jan 2022
Contributions:235 commits, 2 PRs, 127 pushes in 4 years 9 months
pwsiegel/pwsiegel.github.io
Jan 2017 - Dec 2022
Paul Siegel
Contributions:664 commits, 3 PRs, 543 pushes in 6 years
paulsiegel
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