ML Scientist
Core
First ML research hire to transform telemetry data into detection and prevention capabilities for digital identity and anti-fraud solutions.
Role type
Senior IC machine-learning scientist (security/fraud)
Builds
Attack detection and prevention models, anomaly detection systems, and behavioral models for mobile apps
Domain
Cybersecurity, fraud prevention, adversarial machine learning
Deliverable
production ML models
Required skills
Anomaly detection, unsupervised/semi-supervised learning, large-scale telemetry analysis, Python (pandas/polars, scikit-learn, PyTorch), advanced SQL, product mindset
Preferred skills
Mobile security, EDR, banking anti-fraud, adversarial ML, AWS S3, ClickHouse, MLOps, publications (via careerplan.io/jobs/8243358-ml-scientist-at-onespan)
Technologies
ClickHouse, S3, Python, PyTorch, scikit-learn, pandas, polars
Responsibilities
Collaborate with Security team to frame attack techniques as data problems, analyze telemetry to uncover signals, design and prototype detection models, define success metrics, take prototypes to production, stay current with ML security research
Seniority
Senior, hands-on IC
