Senior Data Scientist
Core
Develop, deploy, and support machine learning solutions to prevent financial crime (fraud, scam, mule detection) in the global payments ecosystem, specifically focusing on Account-to-Account (A2A) transactions.
Role type
Senior IC machine learning engineer (financial crime)
Builds
Production ML models for fraud and scam detection
Domain
Payments / Financial Crime
Deliverable
production ML models
Required skills
Python, machine learning model development, evaluation, and deployment, structured and large-scale dataset analysis, scientific thinking, model performance validation
Preferred skills
PySpark, distributed data processing, fraud/scam/mule detection experience, Account-to-Account (A2A) payments ecosystem knowledge, modern software development practices, payment/banking data experience
Technologies
Python, PySpark
Responsibilities
Configure, validate, and deploy ML models to customers; conduct Proof-of-Value exercises; contribute to R&D of new detection solutions; support and improve production models; analyze complex datasets for performance opportunities
Seniority
Senior, hands-on IC
