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. You will perform exploratory data analysis to surface insights related to adversary behavior, attack paths, and control effectiveness. You will build analytical frameworks that measure cyber resiliency, recovery readiness, and operational performance across critical products and infrastructure. You will translate complex analytical findings into clear insights for operational teams and senior leadership.

Responsibilities

• Develop statistical models and machine learning approaches to identify threats and anomalies.
• Apply data science techniques to support threat detection and response optimization.
• Perform exploratory data analysis on security and telemetry-based data.
• Build analytical frameworks to measure cyber resiliency and operational performance.
• Translate complex analytical findings into clear insights for stakeholders.

Required Skills

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

Key Skills

Education

Any Graduate