🛠 Tech Stack

💼 About This Role

You'll design, build, and optimize machine learning models for credit risk decisioning at Ramp. Your work directly impacts how $100B in annual spend flows through 50,000+ companies. You'll own the full applied science lifecycle from data exploration to production monitoring.

🎯 What You'll Do

• Design and build ML models for credit risk decisioning
• Own full development lifecycle from exploration to monitoring
• Investigate and integrate new data sources into credit models
• Develop backtesting and validation frameworks
• Partner with product and engineering to define roadmap

📋 Requirements

• Bachelor's degree in quantitative field
• 5+ years industry experience as Applied Scientist
• Strong Python and SQL for large datasets
• Track record of shipping ML models in production

✨ Nice to Have

• PhD in quantitative field
• Experience with Airflow or similar orchestration
• Startup experience

🎁 Benefits & Perks

• 🏖️ Flexible PTO
• 🏥 100% medical, dental & vision coverage (US)
• 💰 401(k) with employer match
• 👶 16 weeks parental leave at 100% pay

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical phone screen· 45 min
3. 3On-site interviews· 4 hours