Samuel Benidt
Decision Science Manager at The Walt Disney Company
Greater Orlando United States
Summary
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Senior🎓
Top SchoolSamuel Benidt is a Decision Science Manager at The Walt Disney Company with 12 years of experience building and productionizing data and machine learning pipelines on Databricks and creating reusable Python libraries to standardize analytics practices. He has deep statistical training (M.S. in Statistics) and a strong bioinformatics background, authoring the CRAN R package SimSeq to simulate RNA-seq data—work that preserves gene dependence and has been used for benchmarking. At Disney he blends revenue-management modeling for resorts and media renewal prediction with hands-on engineering leadership, moving prototypes to production across studios and networks. Known for bridging rigorous statistical methods and software engineering, he pairs domain expertise in genomics and revenue analytics with pragmatic tooling that improves reproducibility and team productivity.
12 years of coding experience
6 years of employment as a software developer
Master's Degree, Statistics, Master's Degree, Statistics at Iowa State UniversityBachelor of Arts (B.A.), Mathematics and Economics, Bachelor of Arts (B.A.), Mathematics and Economics at Concordia CollegeGithub contributions (5)
sbenidt/SimSeq
Aug 2013 - Mar 2015
Contributions:19 commits, 6 pushes in 1 year 6 months
sbenidt/SimSeq_Paper
Mar 2015 - Jan 2017
Contributions:3 commits, 2 pushes, 1 branch in 1 year 10 months
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