Data Scientist (Forward Deployed)
AI summary of the role
Forward Deployed Data Scientist role at a series-A enterprise AI startup building a large tabular model.
What you’ll do
- Deploy production use cases with considerable business impact, moving from 'science experiments' to definitive ROI
- Run rigorous 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 inputs for the product roadmap
- Define technical strategy to identify the right business problems, prevent data leakage, and handle last-mile integration (VPC, on-prem, air-gapped)
What you’ll bring
- PhD / master in CS / Math / Stats or equivalent deep statistical literacy
- 2+ years as a technical individual contributor (data scientist or software engineer)
- Experience with containerization (Docker), orchestration, and writing performant APIs (FastAPI/Flask)
- Mastery of end-to-end pipeline: framing, pre-processing, ML algorithm, and validation strategies
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:
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 Forward deployed Data Scientist to facilitate the adoption of NEXUS
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 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 multipl [... source excerpt omitted ...] 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
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