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Computer Science Statistics Jobs in Virginia (NOW HIRING)

AI Evaluation Scientist

Mclean, VA ยท 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; OR * Master's degree ...

Bachelors degree in Data Science, Statistics, Computer Science, or related field. * 2+ years of experience in data science or a related role. * Understanding of machine learning concepts and ...

Bachelors degree in Data Science, Statistics, Computer Science, or related field. * 2+ years of experience in data science or a related role. * Understanding of machine learning concepts and ...

Data Scientist

Fredericksburg, VA ยท On-site

$60 - $70/hr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or related discipline. * Experience: * 5-8 years of experience in data analytics, machine learning, or AI ...

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; OR * Master's degree ...

Data Scientist

Richmond, VA ยท On-site +1

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. * 3+ years of experience in data analysis, machine learning, or related fields. * Proficiency in ...

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline. * Willingness to complete modest travel to various locations to support ...

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science ...

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science ...

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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 Jun 1, 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 job?

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 are the key skills and qualifications needed to thrive in the Computer Science Statistics position, and why are they important?

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.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

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 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:
Infographic showing various Computer Science Statistics job openings in Virginia as of May 2026, with employment types broken down into 2% As Needed, 40% Full Time, 50% Part Time, 2% Temporary, and 6% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

AI Evaluation Scientist

Steampunk

Mclean, VA โ€ข On-site

$105K - $145K/yr

Other

Posted 15 days ago


Job description

Overview
We are looking for an AI Evaluation Scientistto design and execute evaluation processes that ensure our predictive and generative AI systems are accurate, reliable, safe, and aligned with mission requirements. This role is essential for establishing trust in AI solutions and supporting continuous improvement across the AI lifecycle. The AI Evaluation Scientist will work closely with engineers, data scientists, governance analysts, and product teams to develop evaluation metrics, build test harnesses, analyze model behavior, and support responsible deployment.
Contributions
  • Implement evaluation frameworks for AI models, including accuracy, robustness, relevance, bias, hallucination rate, and safety metrics.
  • Build and maintain automated evaluation scripts, tests, and pipelines that assess AI model outputs and detect performance drift over time.
  • Develop benchmark datasets, challenge sets, and scenario-based test cases tailored to mission and user needs.
  • Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.
  • Collaborate with AI Developers, LLMOps Engineers, and Data Scientists to support iterative experimentation, model hardening, and quality improvements.
  • Contribute to the design of human-in-the-loop evaluation workflows, integrating qualitative and quantitative insight into evaluation reports.
  • Assist in mapping evaluation outcomes to responsible AI principles such as fairness, transparency, reliability, and safety.
  • Partner with AI Governance Analysts to ensure evaluation outputs support compliance, documentation, and risk assessments.
  • Stay current with emerging evaluation tools, frameworks, metrics, and research related to LLM assessment and generative AI reliability.
  • Document evaluation processes, criteria, and results for both technical and non-technical audiences.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • 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; OR
    • Master's degree in Computer Science, Statistics, Machine Learning, Cognitive Science, Human-Computer Interaction, Data Science, or a related field and 3+ years of experience.
  • 2+ years of experience evaluating machine learning models, NLP systems, or generative AI models (LLMs preferred).
  • Familiarity with evaluation metrics, statistical testing, dataset creation, and experimental design for AI systems.
  • Proficiency in Python and relevant libraries such as PyTorch, Hugging Face, scikit-learn, LangChain
  • Proficiency in AI evaluation frameworks such as Ragas
  • Experience analyzing structured and unstructured data, including text, documents, and embeddings.
  • Understanding of LLM behavior, prompt evaluation, retrieval pipelines, or RAG architectures.
  • Exposure to responsible AI concepts and governance-aligned evaluation criteria (e.g., fairness, transparency, reliability).
  • Strong analytical skills with the ability to interpret model weaknesses, extract insights, and recommend actionable improvements.
  • Excellent written and verbal communication skills, with the ability to present evaluation findings clearly to technical and non-technical stakeholders.
  • Experience working in agile or iterative development environments is a plus.
  • Familiarity with OWASP LLM Top 10 Risks
  • Relevant certifications (helpful but not required):
    • NIST AI RMF (AISIC)
    • INFORMS CAP
    • AWS/Azure/Google ML Certifications.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $105,000 to $145,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.