Description

You will develop statistical models and machine learning approaches to identify threats, anomalies, and risk patterns across security telemetry. You will apply data science techniques to support threat detection, prioritization, and response optimization.

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.

Required Skills

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

Key Skills

Education

Any Graduate