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Computer Science Jobs in Leesburg, VA (NOW HIRING)

The Computer Scientist - Mid utilizes expertise in designing, developing, and maintaining data ... Employ mathematics, statics, information science, artificial intelligence, machine learning ...

The Computer Scientist - Mid utilizes expertise in designing, developing, and maintaining data ... Employ mathematics, statics, information science, artificial intelligence, machine learning ...

Showing results 41-60

Computer Science information

See Leesburg, VA salary details

$57.1K

$84.1K

$99.1K

How much do computer science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer science in Leesburg, VA is $84,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $94,600.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

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

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

What are the most commonly searched types of Computer Science jobs in Leesburg, VA?

The most popular types of Computer Science jobs in Leesburg, VA are:

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

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

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

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

Infographic showing various Computer Science job openings in Leesburg, VA as of August 2026, with employment types broken down into 45% Full Time, and 55% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $84,062 per year, or $40.4 per hour.

Expert Computer Scientist (QAF Oversight & Monitoring) - OBIQUA with Security Clearance

CELESTAR CORPORATION

Reston, VA • On-site

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Celestar Corporation is seeking an Computer Scientist (QAF Oversight & Monitoring) to support The Defense Intelligence Agency ( DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity. ANTICIPATED AWARD: TBD ANTICIPATED START: TBD PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years LOCATION: DIA Facilities across the National Capital Region (NCR) CLEARANCE REQUIREMENT: Active TS/SCI About Us: Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities: This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI). • The Expert Computer Scientist (QAF Oversight & Monitoring) Employs mathematics, statics, information science, artificial intelligence, machine learning, 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. • Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction 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. Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development. • Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence. • Prepares products to describe and document findings and activities. • Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols to evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts. • Collaborate with the Statistician/Mathematician to develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement • Develop and implement corrective actions to address TEVV findings and ensure AI system performance and robustness. • Develop and implement AI system maintenance schedules to ensure continued system performance and robustness. • Collaborate with stakeholders to identify and prioritize AI system improvements and updates. • Develop and implement AI system updates and improvements to ensure compliance with tradecraft standards and best practices. • Conduct technical assessments to ensure compliant use of AI systems for approved use cases in all source analysis. • Evaluate AI system performance and adherence to tradecraft standards and identify areas for improvement. • Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices across the organization. • Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories. Required qualifications/skills: • Minimum 20 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years. • Master's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education. • Must have at least 8 years of experience in AI implementation, advanced degree in computer science, data science, or related field. • Must have expertise in AI algorithms, model development, TEVV, and operationalization. • Demonstrates ability to work independently and with minimal oversight. • Active TS/SCI Clearance within the past 5 years. • Demonstrates ability to define problems, supervise studies and lead surveys to collect and analyze data to provide advice and recommend solutions. • Demonstrates analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft and techniques aligned with labor category mission. • Demonstrates extensive ability to provide strategic advice, technical guidance and expertise to Defense planners and policymakers. Come on board with a company that Values its Employees! Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.