Description

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

This role is hybrid.

Responsibilities

• Apply data science techniques to support threat detection, prioritization, and response optimization.
• 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.

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, operational, or telemetry-based data.
• Ability to communicate technical findings to non-technical stakeholders.

Preferred Skills

• Background in cybersecurity or information security operations.
• Experience with distributed computing frameworks for large-scale data processing.

Key Skills

Education

Any Graduate