Sr. Security Data Scientist

📋 Description

• Examine large-scale security data to identify threat patterns and risks.
• Build threat risk models using statistics and ML methods.
• Utilize security graphs to model attack paths and segmentation.
• Create ML models for anomaly detection across multi-cloud, hybrid, and on-prem.
• Collaborate with threat researchers and engineers to test hypotheses.
• Deploy and monitor models in production for scalability and reliability.

🎯 Requirements

• 5+ years in data science, detection engineering, threat intelligence, or security analytics.
• Python for data handling and modeling (Pandas, NumPy, Scikit-learn); SQL skills.
• Hands-on experience deploying ML models for security (anomaly detection, risk).
• Familiarity with MITRE ATT&CK and threat detection frameworks.
• Experience with security telemetry sources (EDR, NDR, cloud logs, GuardDuty, Defender).
• Knowledge of zero-trust and network segmentation concepts.
• Experience with large-scale telemetry datasets from varied sources.