Michael Siebel
Data Scientist, Recommendation Algorithms
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolMichael Siebel is a data scientist specializing in recommendation algorithms with eight years of experience building data-driven products, now applying his expertise at Stitch Fix after a decade-long senior data science role at Fors Marsh. He blends advanced statistical training (M.S. in Data Science and a graduate certificate in survey design) with a background in political science to tackle complex, human-centered modeling problems. His work emphasizes personalized recommendations and experimental design, informed by practical policy and research internships across government and think tanks. Based in Washington, D.C., Michael maintains a technical blog (siebelm.github.io) that surfaces his applied research and reproducible analyses. Colleagues value his ability to translate messy real-world data into actionable insights and production-ready algorithms.
8 years of coding experience
10 years of employment as a software developer
Master of Science (M.S.) Data Science, Master of Science (M.S.) Data Science at The George Washington UniversityHonors Certificate, Honors Certificate at Pierre Laclede Honors CollegeMaster of Arts (M.A.) Political Science, Master of Arts (M.A.) Political Science at University of Missouri-Saint Louis
python, r, stata, javascript, sqlGithub contributions (5)
Siebelm/siebelm.github.io
Feb 2020 - Sep 2022
Contributions:404 pushes, 1 branch in 2 years 7 months
Siebelm/Stata_v_R_v_Python-The_Basics
Jul 2018 - Oct 2018
Contributions:20 commits, 19 pushes, 1 branch in 3 months
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