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Computer Science Government Jobs in Fairfax, VA (NOW HIRING)

Booz Allen Hamilton

Computer Scientist

Washington, DC · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Whether you're using AI to improve government efficiency or developing new TEVV procedures, you'll ...

Booz Allen Hamilton, Inc.

Computer Scientist

Mclean, VA · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Whether you're using AI to improve government efficiency or developing new TEVV procedures, you'll ...

BOOZ, ALLEN & HAMILTON, INC.

Computer Scientist

Lorton, VA · On-site

$99K - $225K/yr

Your deep data science expertise coupled with an original approach to your work will help clients ... Whether you're using AI to improve government efficiency or developing new TEVV procedures, you'll ...

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All JobsComputer Science Government JobsComputer Science Government Jobs in Fairfax, VA

Computer Science Government information

See Fairfax, VA salary details

$57.8K

$85K

$100.2K

How much do computer science government jobs pay per year?

As of Sep 4, 2026, the average yearly pay for computer science government in Fairfax, VA is $84,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $95,600.00 per year, depending on experience, location, and employer.

What is a computer science government?

A Computer Science Government job involves using computer science skills to support government operations, cybersecurity, software development, and data analysis. These roles exist in federal, state, and local agencies, working on national security, public services, and technological infrastructure. Duties can include developing secure software, managing IT systems, analyzing big data, and protecting against cyber threats. Government computer scientists often work with cutting-edge technology and must comply with strict security and policy regulations.

What types of projects do computer science professionals typically work on in government roles?

In government roles, computer science professionals often work on projects ranging from data management and analysis platforms to cybersecurity initiatives and the modernization of public-facing digital services. You may support the development of secure communication systems, help implement new technologies for efficient public service delivery, or assist with critical infrastructure protection. Collaboration with other government departments, policy experts, and IT professionals is common, providing a dynamic work environment. This diversity of projects allows for professional growth and the opportunity to make a meaningful impact on public sector operations.

What are the key skills and qualifications needed to thrive in the computer science government position, and why are they important?

To thrive in a computer science government role, you need a solid background in computer science principles, programming, data analysis, and often a relevant degree. Familiarity with secure information systems, government databases, cybersecurity frameworks, and certifications such as Security+ or CISSP are commonly expected. Strong problem-solving skills, effective communication, and the ability to work collaboratively in multidisciplinary teams are crucial soft skills. These competencies are essential to ensure the development, maintenance, and security of government technology systems, which directly impact public services and national security.

What are popular job titles related to Computer Science Government jobs in Fairfax, VA?

For Computer Science Government jobs in Fairfax, VA, the most frequently searched job titles are:

What job categories do people searching Computer Science Government jobs in Fairfax, VA look for?

The top searched job categories for Computer Science Government jobs in Fairfax, VA are:

What cities near Fairfax, VA are hiring for Computer Science Government jobs?

Cities near Fairfax, VA with the most Computer Science Government job openings:

Computer Science Government jobs near you
Infographic showing various Computer Science Government job openings in Fairfax, VA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $84,951 per year, or $40.8 per hour.

Principal Computer Scientist

Analytic Services Inc

Washington, DC

Full-time

Re-posted 9 days ago

Job description

Position Summary

ANSER is seeking a Principal Computer Scientist to support AI/ML Quality Assurance Framework (QAF) efforts by integrating mathematics, statics, information science, AI, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.

Day-to-Day Responsibilities

  • Review and evaluate QAF documentation submitted by Advanced Analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment.
  • Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to AA owners and developers.
  • Develops and utilizes and data mining algorithms based on open-source capabilities. Integrates or codes algorithms to support Government intelligence search and discovery missions.
  • Makes best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.
  • Assist in maintaining a repository of QAF documentation to facilitate knowledge sharing and best practices across the organization.
  • Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for Al system development, testing, and deployment.
  • Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation.
  • Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process and its application in AI system development.
  • Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language.
  • Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language.
  • Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards.
  • Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.
  • Employs data science techniques to support predictive analysis, social across the Defense Intelligence Enterprise (DIE).

Required Qualifications

  • Active TS/SCI clearance with the ability to obtain and maintain a polygraph.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
  • A minimum of 20 years related experience in data science, analytics, or machine learning.
  • High knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems.
  • High Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau.
  • High experience with predictive modeling, data mining, statistical analysis, and ML algorithms.
  • Strong experience with knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL).
  • Strong experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance.
  • Strong understanding of DoD 8570/8140 compliance standards for computer science and cybersecurity roles.

Preferred Qualifications

  • Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives.
  • Experience in support of intelligence or defense missions
  • Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures.
  • Demonstrated understanding of Object Based Intelligence frameworks.
  • Experience with DoD 8570/8140 compliance and responsible AI policy frameworks.
  • Experience working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO).

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