1

Computer Science Statistics Jobs in Virginia (NOW HIRING)

Data Scientist

Chantilly, VA · On-site

$150K - $181K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. * 6+ years of experience in data science, advanced ...

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

... computer science, statistics, data analytics, computer engineering, mathematics, etc.). * Programming knowledge in Python or similar language. * Experience with both Linux and Windows ® Operating ...

... computer science, statistics, data analytics, computer engineering, mathematics, etc.). * Programming knowledge in Python or similar language. * Experience with both Linux and Windows ® Operating ...

... computer science, statistics, data analytics, computer engineering, mathematics, etc.). * Programming knowledge in Python or similar language. * Experience with both Linux and Windows Operating ...

... computer science, Software Engineering, or related field. • TS/SCI with Full Scope Polygraph • BS in a quantitative field (mathematics, data science, statistics) • At least 3 years of ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. * 6+ years of experience in data science, advanced ...

Required : • Active TS/SCI with Polygraph required. • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) • ...

... Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc. • TS/SCI Full Poly clearance • ...

Data Scientist

Chantilly, VA · On-site

$150K - $250K/yr

... science, statistics, data analytics, computer engineering, mathematics, etc.) * Programming knowledge in Python or similar language * Experience with both Linux and Windows Operating Systems

Required : • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. • Strong proficiency in Python, R, and SQL, with experience using data ...

D. in Data Science, Statistics, Computer Science, or a related quantitative field * Not specified * Cloud ML/AI platform certification (e.g., AWS Certified Machine Learning - Specialty, Microsoft ...

AI Evaluation Scientist

Mclean, VA · On-site

$105K - $145K/yr

Bachelor's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 5+ years of experience. * Master's degree in ...

D. in Data Science, Statistics, Computer Science, or a related quantitative field * Not specified * Cloud ML/AI platform certification (e.g., AWS Certified Machine Learning - Specialty, Microsoft ...

D. in Data Science, Statistics, Computer Science, or a related quantitative field * Not specified * Cloud ML/AI platform certification (e.g., AWS Certified Machine Learning - Specialty, Microsoft ...

Showing results 41-60

Computer Science Statistics information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do computer science statistics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science statistics in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills for many computer science roles.

What are the most commonly searched types of Computer Science Statistics jobs in Virginia?

The most popular types of Computer Science Statistics jobs in Virginia are:

What are popular job titles related to Computer Science Statistics jobs in Virginia?

For Computer Science Statistics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in Virginia look for?

The top searched job categories for Computer Science Statistics jobs in Virginia are:

Infographic showing various Computer Science Statistics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Scientist

KBR

Chantilly, VA • On-site

$150K - $181K/yr

Full-time

Posted 18 days ago


KBR rating

8.3

Company rating: 8.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

141st of 453 rated engineering


Job description

Title:

Data Scientist
The Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics capabilities used across intelligence operations. This role focuses on reviewing existing statistical models, machine learning algorithms, and analytic methodologies to ensure they meet mission requirements, performance objectives, and operational needs. The position analyzes complex structured and unstructured datasets to assess algorithm effectiveness, identify optimization opportunities, and recommend enhancements to government stakeholders. The Data Scientist works closely with government personnel, developers, engineers, and analysts to support model validation, performance evaluation, and analytic modernization efforts. This role operates within a classified environment and contributes to the advancement of data-driven intelligence capabilities supporting national security objectives.
Roles and Responsibilities
  • Review, assess, and provide recommendations for improving existing statistical models, machine learning algorithms, and analytic workflows supporting Space and Counterspace missions.
  • Evaluate algorithm performance, accuracy, scalability, and operational effectiveness against mission requirements and customer objectives.
  • Analyze large, complex datasets from multiple intelligence and operational sources to identify trends, anomalies, and opportunities for analytic enhancement.
  • Conduct validation and verification activities to ensure analytic models and algorithms produce reliable and reproducible results.
  • Assess data quality, source integrity, and data management practices that impact algorithm performance and analytic outcomes.
  • Develop technical assessments, recommendations, and briefing materials to support government decision-making and capability improvements.
  • Support the integration and evaluation of new data sources, analytic techniques, and modeling approaches within existing mission systems.
  • Collaborate with government stakeholders, engineers, and data science teams to prioritize improvements and implement approved changes.
  • Document methodologies, evaluation criteria, findings, and recommendations to support governance, oversight, and mission continuity.
  • Ensure compliance with security, data governance, and classified environment requirements throughout all analytical activities.
Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.
  • 6+ years of experience in data science, advanced analytics, machine learning, algorithm evaluation, or a related technical discipline.
  • Experience evaluating, validating, testing, or improving statistical models, machine learning algorithms, or analytic methodologies.
  • Proficiency in Python, R, or similar data science programming languages and experience using associated analytical libraries and frameworks.
  • Active Top Secret clearance with Sensitive Compartmented Information (TS/SCI) access and Current Polygraph.
Preferred Qualifications
  • Experience supporting Department of Defense (DoD), Intelligence Community (IC), Space Domain Awareness (SDA), or national security missions.
  • Experience with machine learning frameworks and model evaluation tools.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Intelligence Studies, or a related field.

Basic Compensation:

$$150,000 - $181,000

This range is for the Virginia area only

The offered rate will be based on the selected candidate's knowledge, skills, abilities, and/or experience and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance

Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.


What KBR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


KBR logo

About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998