Forward Deployed - Data Scientist
At a glance
Mid-level Data Science role at Fundamental. Remote, United States · full-time · no salary stated · we estimate $115,188–$175,080 across the United States.
Fundamental has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Move high-impact customer use cases from experiments into production, then show the business value they deliver
- Compare NEXUS with client models such as XGBoost and LightGBM, building features and validating results
- Turn customer data issues and operational challenges into recommendations for the product roadmap
- Choose suitable business problems, guard against data leakage and handle deployment into VPC, on-prem or air-gapped environments
- Coordinate with sales and solution architects to align stakeholders and explain model predictions to business users
What you bring
- A PhD or master's in computer science, math or statistics, or equivalent strength in statistical methods
- At least two years in a hands-on technical role such as data science or software engineering
- Experience with Docker, orchestration and building efficient APIs using FastAPI, Flask or another listed tool
- End-to-end machine learning experience, including data preparation, algorithm selection, validation, data handling and memory optimization
- A record of improving models for a defined business problem and explaining technical choices in business terms
Who this fits
This role suits a mid-career individual contributor who can work directly with customers from proof of value through production deployment. It is remote in the United States and involves coordinating with customer IT, executive and data science stakeholders, as well as internal research, product, sales and solution architecture teams.
From the employer
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 to facilitate the adoption of NEXUS and collaborate with customers to address complex technical challenges.
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
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 2+ years as a technical individual contributor (data scientist or software engineer)
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)
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
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