Chris Beaumont
Data Scientist
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolChris Beaumont is a data scientist with 16 years of experience building pragmatic, evidence-driven solutions across experimentation, causal inference, and data infrastructure. Currently at OpenAI and previously a Staff Data Scientist at Google and senior roles at Netflix, he specializes in lowering barriers for analysts to run robust A/B tests and translating complex, heterogeneous data into actionable insight. He co-founded a data science and visualization consultancy and led development of Glue, a widely used open-source scientific visualization tool, and has contributed backend fixes to the prominent astropy astronomy library. With a PhD in Astrophysics, Chris blends academic rigor with product-focused engineering—often favoring simple, reliable tools (like his smother test selector) that accelerate iteration in high-stakes teams. Based in San Jose, he combines hands-on coding, experimentation platform design, and advisory experience to make complex analysis more intuitive and reproducible.
16 years of coding experience
8 years of employment as a software developer
B.S. Physics, B.S. Physics at Calvin UniversityDoctor of Philosophy (Ph.D.) Astrophysics, Doctor of Philosophy (Ph.D.) Astrophysics at University of Hawaii at Manoa
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
astropy10
python10
astrophysics10
testing10
wcs9
numpy9
Programming languages (5)
Github contributions (5)
astropy/astropy
Jun 2013 - May 2014
Astronomy and astrophysics core library
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:27 commits, 12 comments, 1 issue in 10 months
Contributions summary:Chris contributed to the core `astropy` library by implementing features like a `copy()` method for tables and adding an `ignore_blank` keyword to `fits.open`. They also made changes to the `wcsaxes` module by implementing new methods and fixing a test failure. The user's work included modifications to testing files to ensure the library's functionality.
astrologypythonscienceastrophysicsastrodynamics
ChrisBeaumont/brut
Jul 2013 - Jun 2014
Contributions:75 commits in 11 months
pythondata-sciencedeep-learningmilky-waymachine-learning
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