Description

You will develop statistical models and machine learning approaches to identify threats, anomalies, and risk patterns across security telemetry.

This role is remote.

Responsibilities

• Perform exploratory data analysis to surface insights related to adversary behavior, attack paths, and control effectiveness.
• Build analytical frameworks that measure cyber resiliency, recovery readiness, and operational performance across critical products and infrastructure.
• Translate complex analytical findings into clear insights for operational teams and senior leadership.
• Develop advanced analytics techniques to identify security risks and optimize response strategies.
• Apply data science techniques to support threat detection, prioritization, and response optimization.

Required Skills

• 5+ years of experience in data science, analytics, applied statistics, or quantitative analysis.
• Strong proficiency with Python or R for analytical programming.
• Experience with machine learning or advanced analytics techniques.
• Strong quantitative analysis and statistical modeling skills.
• Experience working with large, complex datasets, preferably security, operational, or telemetry-based data.

Key Skills

Education

Any Graduate