Related skills
sql python pandas pytorch machine learning📋 Description
- Design, build, and optimize ML models for credit risk at Ramp
- Own full applied science lifecycle from data exploration to deployment
- Evaluate new data sources and integrate them into credit models
- Develop backtesting, validation, and monitoring frameworks
- Apply ML, statistics, causal inference, optimization, and economics
- Communicate data-driven insights to influence risk and product strategy
🎯 Requirements
- Bachelor’s degree in Math, Economics, Statistics, Engineering, CS, or related field
- 5+ years in Applied Scientist/ML roles; or 3+ years with a PhD
- Strong fundamentals in statistics, ML, optimization, and economics
- Experience with large datasets using Python and SQL
- Strong Python experience with NumPy, pandas, scikit-learn, PyTorch
- Strong communication and track record shipping ML products in production
🎁 Benefits
- Flexible PTO
- Unlimited AI token usage
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
🚚 Relocation support
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!