Sean Taylor
Data Scientist
Oakland, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSean Taylor is a data scientist and research-oriented leader with 15 years of experience applying experiments, causal inference, statistics, and economics to product and decision science problems. He has held senior roles at Lyft and Facebook and most recently served as Chief Scientist at Motif Analytics before joining OpenAI, blending academic rigor from a PhD program at NYU Stern with hands-on product impact. Sean contributes to notable open-source projects like Facebook Prophet, improving forecasting tooling and its R ecosystem, reflecting a practical focus on time-series and reproducible analytics. Based in Oakland, he combines quantitative depth with engineering chops dating back to early software roles and work at the Federal Reserve, making him effective at turning causal questions into deployable, testable solutions.
15 years of coding experience
15 years of employment as a software developer
High School Diploma, High School Diploma at William Penn Charter SchoolNon-Degree Mathematics Computer Science, Non-Degree Mathematics Computer Science at The George Washington UniversityPhD Information Systems, PhD Information Systems at NYU Stern School of BusinessBS Information Systems Finance Economics Chemistry, BS Information Systems Finance Economics Chemistry at University of Pennsylvania
Github Skills (7)
forecasting10
forecast10
python10
r10
data-analysis9
machine-learning9
test-automation7
Programming languages (4)
Github contributions (5)
facebook/prophet
Feb 2017 - Mar 2021
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Role in this project:
Data Scientist
Data ScientistContributions:4 releases, 1 review, 28 commits in 4 years 1 month
Contributions summary:Sean contributed to the maintenance and improvement of the Prophet forecasting library. Their work involved refactoring code, updating the software's version numbers, and addressing installation dependencies to enhance user experience. They also worked on testing the Prophet library by splitting the existing test suite into fast and slow parts. In addition, they made updates related to deprecated functions within the R implementation of Prophet.
forecastingpythontime-series-analysisforecasting-modelsforecasts
seanjtaylor/seanjtaylor.com
May 2020 - Jul 2023
Personal website
Contributions:4 PRs, 19 pushes in 3 years 2 months
reactnextjs
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