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.