We're looking for a hands-on Data Scientist to build, ship, and iterate on statistical and ML models to solve real-world problems in credit underwriting, risk management, and cash-flow forecasting for SMBs.
Requirements
- 3-5+ years building ML models, including training, evaluation, and deployment.
- Fluency in Python and the standard stack (NumPy, Pandas, scikit-learn, etc.).
- Working comfortably with agentic coding tools (Claude Code, Cursor, or similar) and standard dev tooling (GitHub, VS Code).
- Strong fundamentals in probability, statistics, and machine learning.
- Clear written and verbal communication; comfortable collaborating across functions and surfacing progress, tradeoffs, and results.
Benefits
- Flexible vacation and work hours
- Excellent health, dental, and vision insurance
- Generous parental leave
- Great colleagues!
- Best equipment to help you do your job
