Description
The role applies statistical modeling and data science techniques to transaction and TCP L4 telemetry to detect anomalous traffic and behavioral patterns. Responsibilities include building baselines and anomaly-detection models, engineering features, developing classification models, analyzing incidents, integrating detection signals into agentic AI workflows, validating and monitoring model performance, and partnering with engineering and operations teams to productionize models. The position requires 7-10 years of work experience and pays $65-$70 per hour.
