Summary
Nathaniel Jones is a Senior Data Scientist with 11 years of experience translating geoscience domain expertise into scalable data and ML systems, now working on containers at AWS. He built and operationalized large serverless pipelines and cloud-native compute for California Resources Corporation that integrated 20+ heterogeneous data sources across 42,000 well entities and moved multiple projects from PoC to company-wide production. Equally comfortable writing neural networks in PyTorch as he is designing infrastructure as code and CI/CD for data projects, he helped reduce analyst workload by 80% and surfaced 500 unbooked wells for reserve review. A former practicing geologist with an MS from UT Austin, he leverages domain knowledge to make ML models physically meaningful and to automate messy, real-world data flows. Nathaniel enjoys mentoring engineers, teaching Python and data science workshops, and sprinting on hackathon teams to prototype high-impact solutions.
11 years of coding experience
3 years of employment as a software developer
Master's Degree, Geology/Earth Science, General, 3.6, Master's Degree, Geology/Earth Science, General, 3.6 at The University of Texas at Austin
Bachelor's Degree, Geology, 3.6, Bachelor's Degree, Geology, 3.6 at Brigham Young University
English, Japanese