Location: Bozeman, MT, USA

Remote: Yes

Willing to relocate: Yes

Technologies: Python, PyTorch, R (terra, sf), AWS (Fargate, Step Functions, S3, ECR), Docker, SQL, scikit-learn, Linux/HPC, Django, Git, Claude Code, QGIS

Résumé: https://huysman.net/files/Stephen_Huysman_Resume.pdf | GitHub: https://github.com/shuysman

Email: shuysman@gmail.com

Hi, I'm looking for roles in data engineering, ML, and scientific computing. Interested in geospatial, environmental, agtech, and remote sensing/space work, but open to other domains.

I started my career administering an HPC cluster used to analyze large brain imaging datasets for psychiatric research at a university hospital. I completed my MS in Ecology with a computational focus, following a BS in Plant Sciences from Cornell. I'm currently building tools for the National Park Service and other public land management agencies to help make sense of complex environmental data. I recently architected and deployed a wildfire danger forecasting pipeline across 173M acres on AWS. Good at solving complex problems with limited resources. I'm an advocate of FOSS tools and I'm looking to join a team with other like-minded engineers.