Data Scientist II

📋 Description Develop ML features and signals for device, network, browser, mobile, and session telemetry. Tackle fraud and identity risk problems using data quality and telemetry coverage. Build features from large-scale, high-cardinality telemetry. Analyze patterns like spoofing, emulator behavior, automation, VPN usage, fingerprints. Design and execute validation analyses: train/test splits, leakage checks, drift assessment, impact analysis. Collaborate with engineering, product, risk to move data science to production. 🎯 Requirements Bachelor’s, Master’s, or Ph.D. in CS/ML/Statistics or related field, or equivalent experience. 5+ years in data science or related technical role. Strong SQL and experience with large-scale datasets. Proficient in Python and libraries: pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch. Experience with Spark, PySpark, Databricks, or equivalent frameworks. Ability to work with noisy data and communicate clearly; able to operate independently. 🎁 Benefits Work on meaningful fraud prevention and identity verification problems. Grow with senior data scientists and cross-functional partners. Opportunity to own broader workstreams over time. Inclusive workplace; equal opportunity employer with accommodations available.