Senior Data Scientist - Digital Intelligence, Device Signals

What you'll do

• Design and deploy ML systems for device identification, anomaly detection, and fraud prevention; develop scalable data pipelines and production ML workflows.
• Investigate complex fraud signals, translate business problems into modeling approaches, and validate models through experiments and testing.
• Collaborate with engineering, product, and risk teams; communicate findings and mentor junior data scientists.

What they ask for

• Master’s degree or equivalent practical experience in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• 6+ years in data science or applied machine learning, including production experience.
• Excellent SQL skills; proficiency in Python and distributed computing tools such as Spark or PySpark.
• Experience deploying and maintaining production ML models, using ML frameworks, and designing and interpreting experiments.

Nice to have

• Background in fraud detection, behavioral biometrics, anomaly detection, or adversarial modeling.
• Knowledge of browser/mobile fingerprinting, VPN/proxy detection, or telemetry signal processing.

Pay

$150K – $185K USD base salary

Tools

SQL, Python, Spark, PySpark, scikit-learn, XGBoost, TensorFlow

AI focus

Applied machine learning for device identification, fraud prevention, anomaly detection, and identity verification using device, network, and behavioral data.