Forward Deployed - Data Scientist

Highlights

• Deploy NEXUS, the world's most powerful Large Tabular Model, into production.
• Prove ROI by moving customer use cases from science experiments to impact.
• Translate field insights into roadmap with research and product teams.

What they offer

• Competitive compensation with salary and equity
• Comprehensive health coverage including medical, dental, vision and 401K
• Paid parental leave for all new parents
• Relocation support to join the team in an office location

Ideal candidate

A statistically fluent communicator who thrives at the customer frontier, turning messy business problems into production ROI and bridging technical and executive stakeholders.

Requirements

• 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)
• Master the end-to-end pipeline, from framing, pre-processing, ML algorithm and validation strategies
• Deep understanding of data handling (PySpark, Pandas) and memory optimization
• Demonstrated experience optimizing models for a specific business problem
• Strong communication skills with ability to translate architectural nuances into clear business value
• 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