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# Principal Forward Deployed Data Scientist - Oil & Gas, Houston in , United States

- **Company:** Energy Jobline
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Program Optimization, Information Engineering, Information Leak Prevention, Machine Learning, Cisco Nexus Switches, Data Processing, Google Cloud, Feature Engineering, Pytorch, Flask (Web Framework), Amazon Virtual Private Cloud (VPC), Fastapi, Pandas, Containerization, Pyspark, Xgboost, Machine Learning Operations, Docker
- **Published:** September 4, 2026
- **Apply:** https://www.energyjobline.com/job/principal-forward-deployed-data-scientist-oil-gas-houston-united-states-31471384

## About the Role

You hold a PhD / master in CS / Math / Stats or you have equivalent deep statistical literacy

You have 7+ years as a technical individual contributor in Data Science, Machine Learning, Applied Science, or ML Engineering

You have strong experience working directly with customers or business stakeholders, ideally in complex enterprise or industrial environments

You have experience with containerization (Docker), orchestration, and writing performant APIs (FastAPI/Flask)

You master the end-to-end pipeline, from framing, pre-processing, ml algorithm and validation strategies

You have a deep understanding of data handling (PySpark, Pandas) and memory optimization

You have demonstrated experience optimizing models for a specific business problem

You hold strong communication skills with an ability to translate architectural nuances into clear business value

Nice to have

Experience with PyTorch and cloud- ML pipelines (AWS, GCP, Azure)

Prior experience or understanding of Oil & Gas, energy, utilities, industrials, logistics, or heavy asset environments

Experience as a Forward Deployed Engineer, Staff Engineer, Machine Learning Engineer, or Staff Data Scientist

## Description

to facilitate the adoption of NEXUS and collaborate with customers to address complex technical challenges with an initial focus on Houston-based Oil & Gas customers.

The Principal Data Scientist is an integral part of our FDE team, which is dedicated to driving the successful deployment of Fundamental products and proving value over legacy baselines or net new use cases. They work hand-in-hand with customers from the Proof of Value stage to post-implementation, ensuring our solutions run securely in the client's production heartbeat.

In this role, you'll manage customer relations involving multiple stakeholders (IT, C-suite, and data science teams) and function as a key bridge, translating field insights into our product roadmap.

Key responsibilities

You'll individually help deploy into production use cases with considerable business impact, moving from "science experiments" to definitive ROI

You'll work on rigorous head-to-head benchmarking against client baselines (XGBoost, LightGBM), executing the work of data engineering, feature engineering, and validation

You'll work in collaboration with our research and product teams to translate operational pain points and data anomalies into essential inputs for the Fundamental roadmap

You'll be involved in technical strategy to identify the right business problems, prevent data leakage, and handle the "last mile" integration (VPC, on-prem, air-gapped)

Your collaboration with the Sales and Solution Architect teams will help align diverse stakeholders and explain predictions to business users


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