Data Scientist

Job Summary

Hands-on and motivated, the full-time remote Data Scientist will partner with senior scientists to develop and iterate on statistical and ML models for credit underwriting, risk management, and cash-flow forecasting for SMBs across multiple countries.

Key responsibilities

• Forecast cash flows and business health drivers using statistical and ML modeling
• Design and build models to enhance capital products, focusing on pricing, loss reduction, and growth
• Proactively analyze datasets for insights and prototype models that benefit customers and the business

Required qualifications

• 3-5+ years of experience in building ML models, including training, evaluation, and deployment
• Fluency in Python and experience with standard libraries such as NumPy, Pandas, and scikit-learn
• Familiarity with agentic coding tools like Claude Code and standard development tools such as GitHub
• Strong foundational knowledge in probability, statistics, and machine learning
• Bachelor's degree in CS, Applied/Financial Math, Statistics, Economics, or a related technical field; Master's is a plus