Cayman Simpson
Director, Data Science
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolCayman Simpson is a data science leader with 11 years of experience building product analytics and recommendation systems at Meta, rising from intern to Director in Menlo Park. He combines deep quantitative training in Mathematical and Computational Science from Stanford with hands-on engineering experience early in his career at startups and R&D teams in Singapore. Cayman has led cross-functional teams that translate user behavior into scalable ranking and personalization products, most recently recruiting senior talent to lead a Music Ranking team. Known for blending product intuition with rigorous causal and experimental methods, he thrives where research-grade models meet production constraints. Based in the San Francisco Bay Area, he brings both technical depth and a knack for hiring and developing senior individual contributors.
11 years of coding experience
8 years of employment as a software developer
The College Preparatory SchoolMinor Sociology, Minor Sociology at Stanford University
English, French
Github Skills (12)
showdown10
python-interface10
deep-reinforcement-learning10
bots10
artificial-intelligence10
agent10
python10
ai10
reinforcement-learning10
simulator9
machine-learning9
simulation9
Programming languages (3)
Github contributions (5)
caymansimpson/poke-env-old
Jan 2021 - Apr 2024
A python interface for training Reinforcement Learning bots to battle on pokemon showdown
Contributions:4 PRs, 16 pushes, 2 branches in 3 years 3 months
pokemon-showdownpythonbattlereinforcement-learningpython-interface
caymansimpson/reuniclusVGC
Nov 2020 - May 2022
Contributions:3 commits, 25 pushes, 2 branches in 1 year 5 months
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