Data Scientist II, Applied ML
Core
Develop and deploy machine learning models to manage risk and improve customer experience for a global corporate card and banking platform.
Role type
Mid-level applied machine learning engineer (finance/risk)
Builds
Production ML models for risk management and customer experience
Domain
Fintech, risk management, credit, fraud detection
Deliverable
production ML models
Required skills
Python, SQL, machine learning frameworks, statistical techniques (hypothesis testing, A/B testing), software engineering fundamentals, API development, model productionization
Preferred skills
Real-time model experience, advanced degree in ML, risk domain expertise (fraud, AML, credit), customer-facing ML model experience, fintech industry experience
Technologies
Python, SQL, ML frameworks
Responsibilities
Drive data and AI solutions from inception to deployment; own the full machine learning lifecycle including problem identification, model design, training, productionization, and monitoring; partner with cross-functional teams including Ops, Engineering, Product, Fraud, Compliance, and Credit
Seniority
Mid-level, hands-on IC
