Cyber Defense Data Scientist - ML & Anomaly Analytics

PUNCH Cyber Analytics Group; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

PUNCH Cyber Analytics Group is seeking a data-driven specialist to develop and evaluate machine-learning analytics for cyber defense using diverse telemetry sources. You will build unsupervised and statistical models for clustering, anomaly detection, and behavior baselining, and collaborate with analysts to translate questions into production-quality Python code.

The role emphasizes collaboration with cyber analysts and detection engineers to turn operational questions into measurable features

Responsibilities

• Develop and evaluate machine-learning analytics for cyber defense using network, sensor, alert, and asset telemetry.
• Build unsupervised and statistical models for clustering, anomaly/outlier detection, behavioral baselining, and pattern discovery on large cyber datasets.
• Work with cyber analysts and detection engineers to turn operational questions and adversary behaviors into measurable features and production-quality Python code.

Job description

PUNCH Cyber Analytics Group is seeking a data-driven specialist to develop and evaluate machine-learning analytics for cyber defense using diverse telemetry sources. You will build unsupervised and statistical models for clustering, anomaly detection, and behavior baselining, and collaborate with analysts to translate questions into production-quality Python code.

The role emphasizes collaboration with cyber analysts and detection engineers to turn operational questions into measurable features