Staff Data Scientist - Fraud & Risk
Core
Design, build, and optimize advanced deep learning models (transformers, CNNs/RNNs, graph learning) for real-time fraud detection, risk management, and identity verification.
Role type
Staff Data Scientist (advanced IC with mentorship)
Builds
Production ML models for fraud detection and risk management
Domain
Fintech / Identity Verification / Fraud Prevention
Deliverable
production ML models
Required skills
Deep learning (transformers, CNNs, RNNs, graph learning), Python, SQL, PyTorch, TensorFlow, scikit-learn, model deployment and monitoring, feature engineering, data pipeline development
Preferred skills
LLMs and Agentic AI frameworks (LangChain, LangGraph, Ray), real-time model inferencing
Technologies
PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, Ray
Responsibilities
Design and implement advanced deep learning models; lead end-to-end ML lifecycle from exploration to production monitoring; mentor peers and drive technical initiatives; collaborate cross-functionally to define data requirements; conduct research on novel algorithms for fraud detection
Seniority
Staff, hands-on IC with strategic ownership and mentorship
