Senior Data Scientist - Digital Intelligence

We seek a Data Scientist or production ML engineer with a fraud/device domain specialty.

What we're looking for

Hard requirements :

• 6+ years applied ML with production deployment
• Python + Spark/PySpark at scale
• Real-time or near-real-time ML systems experience
• ML frameworks: scikit-learn, XGBoost, TensorFlow (or similar)
• SQL at a high level (large-scale databases, data modeling)
• End-to-end ownership: concept >> live system >> iteration
• Master's Degree
• Strong communication skills and able to explain complex results to both technical and executive audiences

Domain: fraud, device fingerprinting, behavioral signals, adversarial modeling.

Adversarial dynamics experience: Fraudsters actively adapt to avoid detection, so the models have to keep up, it's not a static problem.

 Strong Preferred:

• High-cardinality feature engineering
• Browser/mobile telemetry signal processing
• Behavioral biometrics
• Anomaly detection