Jongbin Jung

Staff Data Scientist

Palo Alto, California, United States
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Summary

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Jongbin Jung is a Staff Data Scientist in Palo Alto with 14 years of experience building data-driven systems that help organizations make better decisions. He combines academic rigor from a Stanford PhD in Management Science & Engineering with hands-on product work at companies like Uber, Bolt, and Medely, shipping scalable analytics and ML infrastructure for payments, e-commerce, and courier optimization. His research bridged complex ML models and human decision making in high-stakes settings (covered in HBR and The Washington Post), informing a pragmatic approach to model interpretability and policy design. Comfortable across the stack, he’s implemented production pipelines, optimization models, and low-level C++ interfaces for hardware early in his career, and favors solutions that "make things work without breaking other things." Known for translating research into operational systems, he blends statistical depth with engineering discipline to deliver reliable, measurable impact.
code15 years of coding experience
job9 years of employment as a software developer
bookBS, Business Administration, BS, Business Administration at Yonsei University
bookDoctor of Philosophy (Ph.D.), Management Science and Engineering, Doctor of Philosophy (Ph.D.), Management Science and Engineering at Stanford University
languagesEnglish, Korean
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Github Skills (72)

python10
autocomplete10
hexagonal-architecture10
automation10
infrastructure10
h310
orchestration10
prefect10
dataframes10
vim-syntax-highlighting10
latex10
geocoding10
pipeline10
observability10
data-science10

Programming languages (12)

RC++RustTeXAutoHotkeyGoHTMLVim script

Github contributions (5)

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Course material for Law, Order, and Algorithms
Contributions:59 commits, 33 pushes, 1 branch in 7 months
Contributions:42 commits, 29 pushes, 2 branches in 11 days
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