Data Scientist II, Fraud & Risk
Core
Design, develop, and implement advanced deep learning models (transformers, CNNs, LSTMs) for fraud detection, risk management, and identity verification.
Role type
Senior IC machine-learning engineer (fraud & risk)
Builds
Production ML models for real-time identity verification and fraud prevention
Domain
Financial services / Identity verification / Fraud detection
Deliverable
production ML models
Required skills
Deep learning (transformers, CNNs, LSTMs), Python, PyTorch, TensorFlow, scikit-learn, model deployment, feature engineering, data pipeline development
Preferred skills
LLMs, Agentic AI frameworks (LangChain, LangGraph, Ray), real-time model inferencing, fraud prevention domain experience
Technologies
PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, Ray
Responsibilities
Design and implement deep learning models for fraud and risk challenges; Build and optimize models using diverse data types (tabular, text, point clouds, images); Execute technical activities to support project goals with minimal supervision; Participate in all stages of the machine learning lifecycle; Collaborate across teams to drive results; Make routine technical decisions; Stay current with AI/ML advancements and apply innovative approaches.
Seniority
Mid-level, hands-on IC
