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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Booz Allen Hamilton Inc. - **Location:** McLean, VA, United States (Remote available) - **Experience:** Experienced - **Salary:** $77,600.0 - $176,000.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Data Analysis, Cyber Security, Information Engineering, Extract Transform Load (ETL), Data Mining, Decision Support Systems, Github, Intrusion Detection and Prevention, JSON, Python (Programming Language), Machine Learning, Natural Language Processing, Standard Sql, SQL Databases, Unstructured Data, Extensible Markup Language (XML), Data Processing, Apache Spark, Gitlab, Git, Information Technology, Cybercrime, Data Analytics, Bitbucket, Machine Learning Operations, Cyber Warfare, Software Version Control, Data Pipelines, Databricks - **Published:** September 17, 2026 - **Apply:** https://careers.boozallen.com/jobs/JobDetail?jobId=130508 ## About the Role * 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 If You Have: * 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 ## Description 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. How You'll Contribute: As an Enterprise Cybersecurity Data Scientist on our team, you'll: * 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. ## Related Videos - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)