Summary
Nate Jermain is a Senior Data Scientist based in Saint Petersburg, Florida with seven years of hands-on experience applying statistical modeling, machine learning, and causal inference across marketing, entertainment, retail, and fisheries research. He currently leads data science at TriNet after owning ML development at Kobie Marketing, where he built and deployed supervised, unsupervised, and causal models to optimize marketing strategies. Nate blends academic rigor—a master’s in Coastal Sciences/Statistics—with practical production experience in Python and R, and has communicated complex methods through technical writing for ODSC and Towards Data Science. His background in fisheries and field science informs a pragmatic, systems-level view of data problems, from experimental design to deployment and stakeholder-facing communication. Known for producing reproducible code and tutorials, he maintains an active GitHub with examples that translate research techniques into applied solutions.
7 years of coding experience
8 years of employment as a software developer
Master's degree Coastal Sciences / Statistics, Master's degree Coastal Sciences / Statistics at The University of Southern Mississippi
Bachelor's degree Wildlife and Fisheries Biology, Bachelor's degree Wildlife and Fisheries Biology at University of Vermont
Spanish