Senior Data Scientist - Digital Intelligence, Device Signals
Core
Design and deploy advanced machine learning systems for device identification, anomaly detection, and fraud prevention using device, network, and behavioral data.
Role type
Senior IC data scientist (fraud prevention & device intelligence)
Builds
Production ML models and scalable data pipelines for real-time identity verification and fraud detection
Domain
Cybersecurity / Digital Identity / Fraud Prevention
Deliverable
production ML models
Required skills
Machine learning, Python, SQL, statistical methods, experimental design, A/B testing, feature engineering, model deployment, cross-functional collaboration
Preferred skills
Fraud detection, behavioral biometrics, adversarial modeling, high-cardinality feature engineering, privacy-preserving ML, telemetry signal processing
Technologies
Spark, PySpark, scikit-learn, XGBoost, TensorFlow
Responsibilities
Design and deploy ML systems for device identification and anomaly detection; Contribute to scalable data pipelines and production ML workflows; Investigate complex signals like emulator use and spoofing; Translate business problems into modeling approaches; Partner with engineering and risk teams on data architecture; Drive experimental design and validation; Mentor junior data scientists
Seniority
Senior, hands-on IC
