Fundamental Technologies
Forward Deployed - Data Scientist
US (remote) · Remote · Full-time · Posted Jun 16, 2026
- Experience
- 2+ years as a technical individual contributor.
- Education
- PhD / master in CS / Math / Stats or equivalent deep statistical literacy.
About the job
Deploy Fundamental’s NEXUS model with customers, validate its business impact against existing approaches, and help integrate it into production systems.
What you'll do
- Deploy production use cases and demonstrate return on investment through benchmarking, data engineering, feature engineering, and validation.
- Work with customers and internal teams to identify business problems, address data and integration challenges, and inform the product roadmap.
- Coordinate stakeholders and explain model predictions and technical decisions in terms of business value.
What they ask for
- PhD or master’s in CS, Math, or 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).
- End-to-end ML pipeline expertise, data handling (PySpark, Pandas), memory optimization, and experience optimizing models for a business problem.
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 subject-matter expertise.
Tools
NEXUS, XGBoost, LightGBM, Docker, FastAPI, Flask, PySpark, Pandas
AI focus
Facilitate customer adoption and production deployment of NEXUS, an AI model for structured business data; benchmark it against client baselines and validate business value.
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