Forward Deployed Data Scientist
Posted 21 Aug 2026
Advertised as “Forward Deployed Data Scientist - Oil & Gas, Houston”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Mathematics, Statistics
Study levelMaster's or higher
About Fundamental
Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.
At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.
About the role
Fundamental is seeking a Forward Deployed Data Scientist - Oil & Gas, Houston 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 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
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You'll individually help deploy into production use cases with considerable business impact, moving from "science experiments" to definitive ROI
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You’ll work on rigorous head-to-head benchmarking against client baselines (XGBoost, LightGBM), executing the work of data engineering, feature engineering, and validation
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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
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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)
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Your collaboration with the Sales and Solution Architect teams will help align diverse stakeholders and explain predictions to business users