Booz Allen Hamilton

HQ
McLean
Total Offices: 25
Year Founded: 1914

Jobs at Booz Allen Hamilton

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25 Days AgoSaved
In-Office
11 Locations
Information Technology
Conduct proactive, hypothesis-driven threat hunts across endpoint, network, identity, cloud, and security telemetry. Develop queries, correlate large datasets, map findings to MITRE ATT&CK, reconstruct attacker activity, and identify sophisticated or previously undetected compromises. Apply digital forensics and incident response practices, document findings, escalate validated incidents, and improve detection coverage through reusable methodologies and behavior-based detections.
25 Days AgoSaved
In-Office
10 Locations
Information Technology
Conduct proactive, hypothesis-driven threat hunts across endpoint, network, identity, cloud, and security telemetry. Translate threat intelligence and adversary tradecraft into hunt hypotheses, query and correlate large datasets, map findings to MITRE ATT&CK, reconstruct attacker behavior, and identify detection gaps. Apply digital forensics and incident response expertise to investigate suspicious activity, escalate validated compromises, and improve detection capabilities.
2 Days AgoSaved
Remote
Camp Pendleton, CA, USA
Information Technology
Develops, reverse engineers, tests, and maintains embedded software supporting hardware functionality and mission systems. Builds web-based systems and APIs, documents code, configures platform-specific solutions, troubleshoots operational issues, and applies programming standards. Collaborates with cybersecurity specialists to create secure software for DoD clients. Requires a bachelor's degree, at least two years of DoD software engineering experience, eligibility for TS/SCI clearance, and a qualifying certification.
3 Days AgoSaved
Remote
Camp Pendleton, CA, USA
Information Technology
Leads data science initiatives by analyzing complex structured and unstructured datasets, developing machine learning algorithms and systems, and delivering analytical products and dashboards. Works with clients and stakeholders to define needs, communicate development plans, brief senior leadership, and provide data-driven recommendations. Mentors team members, identifies opportunities for data science solutions, and manages competing priorities in complex environments.