Cybersecurity Data Scientist

Cybersecurity Data ScientistThe Opportunity:

As a Cybersecurity Data Scientist, you will operate as a hands-on technical contributor and applied research leader responsible for designing, developing, and operationalizing data-driven and AI-enabled solutions for Booz Allen's Cyber Operations teams. This role emphasizes execution and delivery, turning security telemetry, threat intelligence, and analyst workflows into production-grade models, detections, and decision-support capabilities that measurably improve prevention, detection, response, and recovery outcomes.

You will bridge data science and security operations by translating analyst needs, threat models, and incident learnings into reproducible data pipelines, feature sets, ML/LLM models, and evaluation frameworks deployed across cloud, network, endpoint, identity, and application telemetry domains. You will originate, facilitate, and lead cross-functional efforts to mature AI-enabled cybersecurity capabilities, including detection engineering augmentation, alert triage, threat hunting, and SOC automation, while guiding teams through threat-informed model development, secure-AI engineering, and responsible AI practices.

Perform model and solution reviews, provide technical direction for complex analytics initiatives, including SIEM, SOAR, and EDR data science integrations, cloud-native security analytics, and GenAI tooling for analysts, and translate findings into actionable, measurable implementation plans. Leverage strong analytical, statistical, and communication skills to assess complex security and business problems, align technical and non-technical stakeholders, and drive decisions to closure in support of Booz Allen Hamilton's critical enterprise infrastructure, go-to-market platforms, and mission operations.

The ideal candidate for our Enterprise Cybersecurity team is technically inclined, intellectually curious, and adaptable, with a strong cyber-defense mindset. They th...