Data Scientist II, Applied ML
Core
Develop and deploy machine learning models to manage financial risk and improve customer experience for a global corporate card and banking platform.
Role type
Senior IC machine learning engineer (risk & customer experience)
Builds
Production ML models for risk management and customer-facing automation
Domain
Fintech, financial risk, credit, fraud
Deliverable
production ML models
Required skills
Python, SQL, machine learning frameworks, statistical techniques (hypothesis testing, A/B testing), software engineering fundamentals, API development
Preferred skills
Real-time model experience, advanced degree in ML, risk domain expertise (fraud, AML, credit), fintech industry experience
Technologies
Python, SQL, ML frameworks
Responsibilities
Own end-to-end model development from conception to productionization; partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, Credit); drive data and AI solutions to manage risk and improve customer experience
Seniority
Mid-Senior, hands-on IC
