Cyber Risk Management Data Scientist

Cyber Risk Management Data Scientist – Responsibilities

As a data scientist, you’ll turn complex data sets—structured and unstructured—into actionable insights to solve global challenges across private and public sectors, from fraud detection to cancer research and national intelligence. On our team, you’ll apply leadership and data science expertise to create real‑world impact for the Department of Defense (DoD) with Cyber Risk Management. You’ll work closely with clients to understand their questions and needs, dig into data‑rich environments, and develop algorithms and systems that provide clear, objective answers to guide decision‑making.

This is an onsite position in a SCIF focused on a high‑impact project within a dynamic, collaborative team. In addition to strong technical skills, we seek a self‑starter mindset: comfortable navigating ambiguity, independently driving tasks, and proactively seeking information. Early responsibilities center on drafting and managing documentation needed to enable future analytics (DSAs, appointment letters, data memorandums, etc.), and building clear use cases that reflect client operational needs.

You Have:

• 6+ years of experience with Python, PySpark, SQL, and Databricks
• 4+ years of experience with data engineering and analytics, delivering actionable insights and performance metrics
• Experience building and maintaining automated ETL pipelines leveraging API integrations to efficiently ingest, transform, and deliver data across systems
• Experience extracting and structuring information from unstructured sources such as reports and documents into clean, analysis‑ready data
• Experience mentoring junior analysts
• Ability to communicate complex technical concepts clearly and effectively to both technical teams and executive stakeholders
• Ability to travel up to 25% of the time
• TS/SCI clearance
• Bachelor’s degree

Nice If You Have:

• Experience using DoD data platforms such as Advana, Qlik, and Maven for data integration, ingestion, and visualization
• Experience documenting data analytics processes and maintaining reproducible analytic methods
• Experience engaging data owners to establish sharing agreements that enable the creation of data pipelines
• Experience applying machine learning or natural language processing to operational or intelligence data
• Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners
• Experience developing data governance frameworks and standards
• Knowledge of cybersecurity data and analytics

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, you’ll receive a comprehensive benefits package that includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week are eligible for the full benefit program. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

This posting will close within 90 days from the Posting Date.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.