PhD/Master in CS, Math, or Stats or equivalent statistical literacy
2+ years as a technical contributor (data scientist/software engineer)
Experience with containerization (Docker) and writing performant APIs (FastAPI/Flask)
Mastery of the end-to-end data pipeline from framing to validation
Deep understanding of data handling (PySpark, Pandas) and memory optimization
Demonstrated experience optimizing models for business problems
Strong communication skills to translate technical details into business value
Responsibilities
Deploy solutions into production that deliver significant business value
Benchmark against client baselines, executing data engineering and validation tasks
Collaborate with research and product teams to address operational pain points
Develop technical strategies preventing data leakage and managing integration
Align stakeholders by explaining complex predictions to business users
Benefits
Competitive compensation with salary and equity
Comprehensive health coverage for 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
Mission-driven, low-ego culture valuing diversity and ownership
Full Job Description
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
