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

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

Required Skills

• 5+ years of experience in data science, analytics, applied statistics, or quantitative analysis.
• Strong experience with statistical analysis and modeling techniques.
• 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.

Preferred Skills

• Any Graduate

Key Skills

Education

Any Graduate