Principal Forward Deployed Data Scientist - Oil & Gas, Houston

Fundamental; Georgia; On-site; USD 160,000 - 220,000; Full time

Benefits offered by this job

Salary and equity

Health coverage

Parental leave

Relocation support

Diversity of thought culture

Job summary

Fundamental is seeking a Principal Forward Deployed Data Scientist for Oil & Gas based in Houston to drive adoption of NEXUS and address complex technical challenges for Houston-based clients. You will manage multi-stakeholder relationships across IT, C‑suite, and data science teams, and translate field insights into the product roadmap.

You will lead end-to-end ML deployments, optimize models for business impact, and work with the Sales and Solution Architect teams to align stakeholders on

Qualifications

• PhD or MSc in CS, Math, or Statistics or equivalent deep statistical literacy.
• 7+ years as a technical individual contributor in Data Science or ML engineering.
• Experience with customers or stakeholders in enterprise environments.
• Experience with containerization (Docker), orchestration (Kubernetes), and building performant APIs (FastAPI/Flask).
• End-to-end ML pipeline expertise from framing to validation.
• Strong data handling with PySpark and Pandas; memory optimization.
• Proven ability to translate architectural nuances into business value.

Responsibilities

• Deploy production use cases with measurable business ROI.
• Benchmark against client baselines and perform data engineering tasks.
• Collaborate with research and product teams to feed insights into the roadmap.
• Contribute to technical strategy, data leakage prevention, and integration (VPC, on-prem, air-gapped).
• Bridge technical details to business stakeholders including Sales and Solutions Architect teams.

Skills

Statistical literacy

Customer-facing experience

ML engineering

Containerization (Docker)

APIs (FastAPI/Flask)

PySpark/Pandas

Model optimization for business impact

Communication of technical concepts

Education

PhD or MSc in CS/Math/Stats

Tools

Docker

Kubernetes

FastAPI/Flask

PySpark

Pandas

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 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

Must have

• 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-native 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

• Industry-based subject matter expertise

Benefits

• Competitive compensation with salary and equity

• Comprehensive health coverage for you and your dependents, including medical, dental, vision, and 401K

• Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys

• Relocation support for employees moving to join the team in one of our office locations

• A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action