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Booz Allen

Builds AI and cyber systems for the US government

Senior Data Scientist and Automation Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USA$99k - $225k /yrIn-person

About the Job

Requirements

  • 10+ years of experience supporting the Department of Defense in data science, advanced analytics, or large-scale data engineering within mission environments.
  • 10+ years of experience developing automation and analytics solutions using scripting languages such as Python or PowerShell.
  • Experience processing large datasets, optimizing ETL or ELT pipelines, and applying statistical or machine learning methods to mission-critical workflows.
  • Experience building and validating automation or analytics scripts with testing frameworks such as Pester or PyTest.
  • Experience implementing secure coding practices, role-based access, and compliance-aligned automation.
  • Experience supporting Agile delivery, backlog refinement, sprint planning, and cross-functional collaboration.
  • Ability to modernize legacy scripts or codebases for performance, reliability, and scalability.
  • Ability to design and implement data-driven dashboards, data quality checks, workflow improvements, and process automation tools.
  • Secret clearance is required.
  • A bachelor's degree is required.

Responsibilities

  • Design advanced data workflows, scalable analytics solutions, and automated pipelines to support the Navy records management mission.
  • Use data science, scripting, and automation to modernize enterprise data processes, refactor legacy scripts, and implement secure, high-performance solutions.
  • Collaborate with program managers, developers, and Navy stakeholders to analyze requirements, improve data workflows, build predictive and descriptive analytics, and align automation with compliance and security standards.
  • Process large datasets, validate scripts and applications through Pester testing, build data-driven insights, develop automation pipelines, and contribute to Agile delivery across modernization initiatives.
  • Integrate disparate data sources, apply advanced analytics, optimize data movement, and build maintainable, resilient tools to improve enterprise decision-making.

Desired Qualifications

  • Experience with Navy enterprise systems or records management modernization initiatives.
  • Experience as a data scientist using advanced data analytics across a larger enterprise environment.
  • Experience implementing or supporting CI/CD pipelines, DevOps workflows, and automated test frameworks.
  • Experience with Python, R, machine learning, or artificial intelligence analytics workflows supporting data-driven decision-making.
  • Experience with data cataloging, retention, archival, or metadata enrichment.
  • Experience building automation linked to Microsoft 365, SharePoint, or Power Platform ecosystems.
  • Experience with Azure automation, GitHub Actions, or hybrid cloud scripting solutions.
  • Top Secret clearance.
  • A master's degree.
  • Microsoft Power Platform certifications.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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