Data Scientist

Booz Allen Hamilton•McLean, VA

5d•Remote

About The Position

As an Enterprise Cybersecurity Data Scientist supporting our next-generation artificial intelligence (AI)-enabled Cyber Fusion Center (CFC), you will help architect and operationalize the analytic foundation enabling cyber defense at machine speed. Your work will directly support our enterprise initiative to embed AI across cybersecurity workflows, accelerating detection, improving efficiency, and increasing the autonomy of CFC operations as we mature from manual to automated and semi-autonomous capabilities. In this role, you will apply data engineering and data science to build the foundation for AI-enabled capabilities to autonomously detect, investigate, and remediate cyber threats. You will collaborate closely with cyber operators and AI engineers to design data pipelines that power real-time situational awareness, cybersecurity workflows, and autonomous decision support across the enterprise. Due to the nature of work performed within this facility, U.S. citizenship is required.

Requirements

3+ years of experience in data exploration, cleaning, analysis, or data mining, including with both structured and unstructured data
3+ years of experience building data pipelines
3+ years of experience working with SQL, Python, and Apache Spark
Experience managing version control, including Git, GitHub, GitLab, or Bitbucket, and CI/CD pipelines
Experience building or operating ETL pipelines such as ingest, transform, load, including API integration and data manipulation across multiple file types such as JSON, XML, and geospatial formats
Ability to display clean coding habits and focus on quality
Ability to work independently and collaboratively in a team environment
Ability to be self-motivated and pay attention to detail
Bachelor’s degree in Cybersecurity, Data Science, Engineering, or IT and 3+ years of experience working in cybersecurity, information technology, data engineering, or data science in a professional environment, or 5+ years of experience working in cybersecurity, information technology, data engineering, or data science in a professional environment in lieu of a degree

Nice To Haves

Experience with analytics and data science techniques, including natural language processing, machine learning algorithms, MLflow, and optimization
Knowledge of agentic workflow principles
Knowledge of the cybersecurity domain
Possession of strong analytical, problem-solving, and critical thinking skills
Possession of strong written and verbal communication skills, including presenting complex information in a clear and concise manner

Responsibilities

Build and maintain scalable pipelines that integrate various security telemetry and external data sources to support real-time CFC analytics.
Develop analytic workflows utilizing Python and SQL to enable threat detection, anomaly detection, and automated triage.
Use Databricks, clean coding practices, and version control to deliver reproducible, production-ready solutions.
Partner with AI engineers to shape requirements and prioritize datasets to enable CFC workflows.