Data Science Engineer - On line Payments
Core
Develop and deploy analytical, predictive, and Generative AI models to protect the Latin American e-commerce and financial services ecosystem against fraud.
Role type
Data Science Engineer (Fraud Prevention)
Builds
Production ML models for fraud detection and prevention
Domain
E-commerce and Financial Services
Deliverable
production ML models
Required skills
Data Science, Machine Learning, Generative AI, Fraud Analysis, Model Deployment, Production Monitoring, Structured and Unstructured Data Analysis
Preferred skills
Experience with low-prevalence, high-impact fraud scenarios
Technologies
Generative AI, Machine Learning frameworks
Responsibilities
Collaborate with internal and external partners to optimize fraud prevention processes; Monitor model performance in production and handle anomalies; Apply Generative AI techniques to fraud prevention scenarios; Explore structured and unstructured data to enrich detection models; Communicate team deployments to other vertical teams.
Seniority
Mid-level, hands-on IC
