Samuel Helms
Senior Staff Data Scientist
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolSamuel Helms is a Senior Staff Data Scientist at Meta with nine years of experience building production analytics and ML systems, currently leading the widely adopted Analytics Agent that enables natural-language analytical queries for over 77% of Meta data scientists. He previously helped launch Facebook Marketplace's Jobs vertical and video listings, bringing a product-first, 0→1 mindset to complex data problems. His background spans recommendation systems, Bayesian forecasting, NLP pipelines, and embedding research from Yale, giving him a rare mix of applied research and production engineering chops. Samuel focuses on the often-overlooked systems and evaluation challenges that keep agentic analytics reliable as usage scales and user types diversify. Based in Boston, he regularly engages on topics like agent architectures, semantic layers, and the organizational work needed to drive AI-driven analytics adoption.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Statistics and Data Science, Bachelor’s Degree, Statistics and Data Science at Yale UniversityHigh School, High School at Phillips Exeter Academy
Github Skills (81)
python10
pandas10
editor10
electron10
data-science10
typescript10
vscode-extension10
vscode10
data-analysis10
microsoft10
manipulation10
data-structures10
frame10
dataframes9
data-manipulation9
Programming languages (5)
Github contributions (5)
samghelms/nba_movement_analysis
Feb 2018 - May 2018
Analyzing NBA movement data using factor analysis, pca, and MANOVA
Contributions:12 commits, 6 pushes, 1 branch in 2 months
analyzingpythonmovement-datafactorfactor-analysis
samghelms/mathviz
Nov 2017 - Dec 2017
A python package for examining mathematics equation embeddings
Contributions:122 commits, 122 pushes, 3 branches in 1 month
equationpythonembeddingsmathematicspython-package
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