Lead Data Scientist - Scams Prevention
Core
Lead a team to build and deploy machine learning models that detect and prevent account takeover (ATO) and send scam fraud on a global money transfer platform.
Role type
Senior IC Lead Data Scientist (Fraud Prevention)
Builds
Production ML models for real-time fraud detection and prevention
Domain
FinTech / Cybersecurity / Fraud Prevention
Deliverable
production ML models
Required skills
Machine learning model development, Python, large-scale data processing (Hadoop, Spark, SQL), anomaly detection, supervised/unsupervised learning, deep learning, graph-based solutions, statistical analysis, code review, experiment design
Preferred skills
Mentorship, cross-functional collaboration, event log mining, gradient boosting, neural networks, regression, autoencoders, clustering
Technologies
Python, R, Hadoop, Spark, SQL, Git, GitHub, Java
Responsibilities
Lead development of ML models for ATO and Send Scam detection; Analyze large datasets to identify fraud patterns; Design and implement experiments to evaluate fraud systems; Collaborate with security and engineering teams; Develop data pipelines for real-time detection; Mentor junior data scientists
Seniority
Senior, hands-on IC with leadership responsibilities
