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Computational Data Analytics Jobs in Virginia (NOW HIRING)

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics * Operations Research * Quantitative Finance * Statistics * Experience ...

Data Scientist

Reston, VA ยท On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics * Operations Research * Quantitative Finance * Statistics * Experience ...

Data Scientist

Reston, VA ยท On-site +1

Computational Social Science * Computer Science * Data Analytics * Economics * Engineering * Geospatial Analysis * Mathematics * Operations Research * Quantitative Finance * Statistics * Experience ...

Data Scientist

Arlington, VA ยท On-site

$120 - $180/hr

Build computational models that improve situational awareness, relationship discovery, systems modeling, and business analytics. * Develop data visualizations, dashboards, and graphical products that ...

Data Scientist

Arlington, VA ยท On-site

$69K - $125K/yr

Are you a TS/SCI cleared Data Scientist that likes to perform research-level data science/analytics ... Computational Social Science; or Master's degree or equivalent graduate degree including ...

Data Science SME Mid

Fort Belvoir, VA ยท On-site

$115K - $157K/yr

Help learners connect tradecraft concepts to realistic mission scenarios, analytic problems, and ... e., Computational Thinking, Programming, Statistics, or Data Visualization). * Education:

Showing results 21-40

Computational Data Analytics information

See Virginia salary details

$24

$54

$93

How much do computational data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for computational data analytics in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

How does a computational data analyst typically collaborate with cross-functional teams to deliver data-driven insights?

Computational Data Analysts frequently work alongside professionals from various departments, such as engineering, product management, and business strategy. They gather requirements, clarify analysis goals, and present findings in clear, actionable terms. Regular meetings and collaborative tools are often used to ensure alignment, while analysts translate complex data patterns into practical recommendations that support decision-making across the organization. This teamwork not only enhances the impact of their analyses but also provides valuable opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive as a computational data analytics professional, and why are they important?

To thrive as a Computational Data Analytics professional, you need strong quantitative skills, proficiency in statistics, and expertise in data manipulation, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of machine learning frameworks are commonly required. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively make candidates stand out. These skills enable professionals to extract actionable insights from complex datasets, drive informed decision-making, and add significant value to organizations.

What is the difference between Computational Data Analytics vs Data Scientist?

AspectComputational Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentData analysis teams, research labs, tech companiesData analysis teams, research labs, tech companies
Employer & Industry UsageTech, finance, healthcare, academiaTech, finance, healthcare, academia
Common Search & ComparisonYesYes

Computational Data Analytics focuses on developing algorithms and computational methods to analyze large datasets, often emphasizing programming and algorithm design. Data Scientists combine statistical analysis, machine learning, and domain expertise to interpret data and generate insights. While both roles require similar educational backgrounds and work environments, Computational Data Analytics leans more toward algorithm development, whereas Data Scientists focus on modeling and interpretation.

What is computational data analytics?

Computational data analytics is the process of using computational methods, algorithms, and systems to analyze large and complex datasets. This field combines principles from computer science, mathematics, and statistics to extract meaningful insights and patterns from data. Professionals in computational data analytics use tools such as machine learning, data mining, and statistical modeling to solve real-world problems in various industries. Their work often involves programming, data visualization, and working with big data platforms.
Infographic showing various Computational Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,896 per year, or $54.3 per hour.

Senior Consultant - Computational Aerothermodynamics & Machine Learning

Analytical Mechanics Associates

Hampton, VA โ€ข On-site

$59 - $69/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 29 days ago


Job description

Job Description:

56-$69 Analytical Mechanics Associates (AMA)is seeking a highly specialized Subject Matter Expert to serve in a part-time, advisory capacity. This consultant will provide strategic technical guidance and expert review at the intersection of computational aerothermodynamics, advanced modeling and simulation (M&S), and machine learning (ML).

Requiring a commitment of no more than 20 hours per month, this role is ideal for an established researcher, academic, or industry veteran looking to lend their expertise to cutting-edge aerospace challenges without a full-time commitment.

The hourly rate for this position is $59-$69 an hour commensurate with experience and education.

Key Responsibilities:
  • Technical Advisory:Provide expert-level consultation on computational aerothermodynamics methodologies, physics-based modeling, and simulation strategies.

  • Machine Learning Integration:Advise on the application and integration of machine learning algorithms (e.g., surrogate modeling, physics-informed neural networks, data-driven turbulence modeling) to enhance traditional CFD and aerothermodynamic workflows.

  • Design & Architecture Review:Evaluate and provide feedback on the architecture of high-performance physical models and numerical methods.

  • Strategic Roadmapping:Assist engineering teams in identifying emerging trends and state-of-the-art techniques in M&S and computational physics to maintain a competitive technical edge.

  • Mentorship & Collaboration:Serve as a sounding board for senior engineers and developers, helping to troubleshoot complex physical and algorithmic challenges.

Required Qualifications:
  • Education:Ph.D. in Aerospace Engineering, Mechanical Engineering, Physics, or a strictly related computational discipline.

  • Experience:A minimum of 5 years of active, post-Ph.D. professional experience specifically focused on computational aerothermodynamics, M&S, and ML.

  • Domain Expertise:Deep foundational knowledge of hypersonic and supersonic flows, high-temperature gas dynamics, and advanced computational fluid dynamics (CFD).

  • Machine Learning Proficiency:Proven track record of applying machine learning, deep learning, or advanced statistical modeling to complex fluid dynamics or thermodynamic problems.

  • Communication:Exceptional ability to distill complex theoretical concepts into actionable engineering guidance.

Preferred Qualifications:
  • Familiarity with modern, high-performance software architecture, particularly the development of robust C++ libraries for CFD codes (e.g., providing complex gas properties).

  • Experience with heterogeneous computing environments, including GPU acceleration and parallel programming models (e.g., OpenMP, CUDA, Kokkos).

  • Deep knowledge of physics of high-enthalpy flows, including thermal radiation, chemical kinetics, and transport processes.

  • History of peer-reviewed publications in relevant aerospace, physics, or computational science journals.

This position requires U.S. Citizenship or Permanent Residence.


Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.


AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.