Nicholas Lee
Team Lead - Core Data, Bloomberg Alternative Data
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNicholas Lee is a data science leader with a decade of experience building scalable ETL pipelines and alternative data products at Bloomberg, where he currently leads a cross-functional Core Data team. He blends advanced statistical analysis, bias correction, and machine learning with production data engineering to transform raw consumer transaction feeds into robust, predictive features used to understand consumer behavior and company performance. With a PhD in astronomy and deep foundations in physics, math, and statistics, he brings a researcher's rigor to practical, product-focused solutions. Nicholas is comfortable operating at the intersection of research, engineering, and product, mentoring engineers and analysts while shaping data quality and modeling standards. He excels at taking noisy, sparse data and turning it into auditable signals at scale—a skill honed from years modeling complex astrophysical systems. Based in San Francisco, he is passionate about using data to answer high-impact questions that inform investment and business decisions.
10 years of coding experience
Bachelor's degree, Physics & Astronomy, Bachelor's degree, Physics & Astronomy at University of California, BerkeleyMaster's degree, Astronomy, 3.91, Master's degree, Astronomy, 3.91 at University of Hawaii at Manoa
Github Skills (3)
astronomy9
python8
astropy7
Programming languages (1)
Github contributions (5)
DARK-coding-wg/DARKphot
Feb 2016 - Apr 2016
Contributions:29 commits, 5 PRs, 22 pushes in 2 months
input-outputpythonphotometry
nylee23/data_buzz
Feb 2017 - Jul 2017
Contributions:19 pushes, 1 branch in 5 months
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