Data Science Specialist
Core
Design, develop, evaluate, and deploy scalable Machine Learning and AI systems for fraud prevention, chargeback risk, and credit card payment risk in a global payments platform.
Role type
Senior IC AI Engineer / Machine Learning Specialist
Builds
Production-grade AI solutions, APIs, data pipelines, and services for fraud and risk management
Domain
Fintech / Global Payments / Risk Management
Deliverable
production ML models
Required skills
Machine Learning modeling (XGBoost, Random Forest, Decision Trees), Python, Cloud platforms (AWS, GCP, Azure), CI/CD pipelines, Data engineering (ETL, pipelines), ML monitoring and logging, Security and compliance standards
Preferred skills
Neural networks, Containerization (Docker), MLOps collaboration, Fraud detection experience, Financial services background
Technologies
XGBoost, Random Forest, Decision Trees, Python, AWS, GCP, Azure, GitHub Actions, CloudWatch, DataDog
Responsibilities
Design and deploy scalable AI systems; Develop and optimize ML models for fraud and risk; Build production-grade AI solutions and APIs; Implement CI/CD pipelines for model deployment; Troubleshoot production AI systems; Mentor team members on ML best practices
Seniority
Senior, hands-on IC
