Principal Forward Deployed Data Scientist - Oil & Gas, Houston
AI summary of the role
Principal-level forward deployed data scientist focused on deploying NEXUS, a large tabular model, into Houston-based Oil & Gas customers.
What you’ll do
- Deploy NEXUS into production use cases with significant business impact, moving from experiments to ROI
- Run head-to-head benchmarking against client baselines (XGBoost, LightGBM) including data engineering, feature engineering, and validation
- Collaborate with research and product teams to translate operational pain points and data anomalies into roadmap inputs
- Handle technical strategy for problem identification, data leakage prevention, and last-mile integration (VPC, on-prem, air-gapped)
What you’ll bring
- PhD or Master's in CS/Math/Stats or equivalent deep statistical literacy
- 7+ years as a technical individual contributor in Data Science, ML, Applied Science, or ML Engineering
- Strong experience working directly with customers or business stakeholders in complex enterprise/industrial environments
- Experience with Docker, orchestration, and writing performant APIs (FastAPI/Flask)
Technologies
NEXUS · XGBoost · LightGBM · Docker · FastAPI · Flask · PySpark · Pandas · PyTorch · AWS · GCP · Azure
About Fundamental Research Labs
Builds a large tabular model that helps enterprises run prediction workloads like churn, pricing, fraud, and forecasting directly on structured data.
Series A
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
About Fundamental Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by 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 Principal 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 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 [... source excerpt omitted ...] ge 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’ [... source excerpt omitted ...] cy 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 commun
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