Data Scientist ll - Digital Intelligence
Core
Develop machine learning features, models, and risk signals using device, network, browser, mobile, and behavioral telemetry to prevent fraud and verify digital identities.
Role type
Senior IC data scientist (fraud detection & identity verification)
Builds
Production ML models, risk signals, and analytical pipelines for real-time identity trust decisions
Domain
Cybersecurity, fraud prevention, digital identity verification
Deliverable
production ML models
Required skills
Python, SQL, machine learning, feature engineering, statistical modeling, distributed data processing, model evaluation, data quality analysis
Preferred skills
fraud detection, device intelligence, behavioral biometrics, anomaly detection, production ML workflows, model monitoring
Technologies
Spark, PySpark, Databricks, pandas, NumPy, scikit-learn, XGBoost, TensorFlow, Pytorch
Responsibilities
Build features from large-scale, noisy telemetry; analyze signal patterns like spoofing and proxy usage; design validation analyses including drift assessment; partner with engineering and risk teams to implement production features; support junior data scientists through code review and feedback.
Seniority
Mid-Senior, hands-on IC
