Fundamental Technologies
Forward Deployed Data Scientist - Oil & Gas, Houston
Houston, Texas, United States · Hybrid · Full-time · Posted Aug 21, 2026
- Experience
- 3+ years in a technical individual contributor role in Data Science, Machine Learning, Applied Science, or ML Engineering.
- Education
- PhD / master in CS / Math / Stats or equivalent deep statistical literacy.
About the job
Deploys Fundamental’s NEXUS model with Oil & Gas customers, taking data science use cases from proof of value into production and demonstrating business impact.
What you'll do
- Deploy production use cases and benchmark NEXUS against customer baselines, including XGBoost and LightGBM.
- Lead data engineering, feature engineering, validation, and last-mile integration while addressing data leakage and security needs.
- Coordinate with customer stakeholders and internal research, product, sales, and solutions teams to explain results and inform the product roadmap.
What they ask for
- PhD or master’s in CS, Math, or Stats, or equivalent deep statistical literacy.
- 3+ years as a technical individual contributor in Data Science, Machine Learning, Applied Science, or ML Engineering.
- Strong experience working directly with customers or business stakeholders.
- Experience with containerization (Docker), orchestration, and performant APIs (FastAPI/Flask).
Nice to have
- Experience with PyTorch and cloud-native ML pipelines (AWS, GCP, Azure).
- Experience or understanding of Oil & Gas, energy, utilities, industrials, logistics, or heavy asset environments.
Tools
NEXUS, XGBoost, LightGBM, Docker, FastAPI, Flask, PySpark, Pandas
AI focus
Facilitates customer adoption and production deployment of NEXUS, a Large Tabular Model, and validates its predictions and business value against customer baselines.
Model-written summary · the original posting is authoritative