Data Scientist ll - Digital Intelligence

What you'll do

• Develop and validate features, models, and analytical methods using device, network, browser, mobile, session, and behavioral data.
• Investigate data quality, labels, telemetry, and fraud patterns to identify durable risk signals and assess their impact.
• Partner with engineering, product, risk, and data science teams to prepare data, support production rollout, and communicate findings.

What they ask for

• Bachelor’s, Master’s, or Ph.D. in a related quantitative field, or equivalent practical experience.
• 5+ years of experience in data science, applied machine learning, statistical modeling, analytics engineering, or a related technical role.
• Experience building, evaluating, and improving machine-learning models, features, analytical pipelines, or risk signals.
• Strong SQL and Python proficiency; experience with large-scale datasets and distributed data processing tools.

Nice to have

• Background in fraud detection, identity verification, cybersecurity, risk modeling, or another adversarial data domain.
• Experience with device intelligence, fingerprinting, behavioral biometrics, network intelligence, or telemetry signal processing.

Pay

$140K – $170K USD base salary

Tools

SQL, Python, pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch

AI focus

Applies machine learning to fraud prevention and identity verification, developing risk signals from digital intelligence telemetry.