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Cybersecurity Data Scientist - Booz Allen Hamilton
Data Scientist
Lead the design, development, and deployment of AI‑enabled security solutions, turning telemetry and threat intel into production‑grade models that enhance detection, response, and recovery for cyber operations teams.
About the role
Key Responsibilities
- Design, build, and operationalize data‑driven models and detection engines using Python and machine learning frameworks.
- Transform security telemetry, threat intelligence, and analyst workflows into production‑grade solutions.
- Collaborate with security analysts to translate operational needs into actionable data science outputs.
- Deploy and maintain models on scalable cloud platforms, ensuring reliability and performance.
- Continuously evaluate model effectiveness, refine algorithms, and incorporate new threat data.
Requirements
- Strong experience in Python, machine learning, and AI applied to cybersecurity.
- Proficiency in data engineering, SQL, and cloud services (e.g., AWS).
- Deep understanding of threat intelligence, incident response, and security operations.
- Excellent problem‑solving skills and ability to translate complex data into actionable insights.
- Effective communication and collaboration with cross‑functional teams.
Skills
pythonmachine learningsql