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Computational Data Analytics Jobs in Virginia (NOW HIRING)

In this dynamic role, you will join a top-tier team of Information Technology and Analytic ... Applied mathematics (e.g., probability and statistics, formal modeling, computational social ...

Data Scientist

Chantilly, VA · On-site

$114K - $190K/yr

In this dynamic role, you will join a top-tier team of Information Technology and Analytic ... Applied mathematics (e.g., probability and statistics, formal modeling, computational social ...

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

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

S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline.

Data Scientist I

Alexandria, VA · On-site

$90 - $110/hr

* Job Category Computational Sciences * Employee Type FT Exempt * Required Degree 4 Year Degree ... Conducts data analytics, data manipulation, data mining, exploratory analysis, predictive analysis ...

S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline.

... Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business Intelligence Engineer, Computational Scientist, ect. DEGREE (Level Desired ...

... Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business Intelligence Engineer, Computational Scientist, ect. DEGREE (Level Desired ...

Showing results 41-60

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.

Data Mining & Analytics Engineer, Journeyman (Security Clearance Required)

ICF

Arlington, VA

$131K - $158K/yr

Full-time

Posted 22 days ago


Job description

ICF is actively recruiting for Data Mining and Analytics Engineer to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. The successful cleared candidate will act as a Data Mining and Analytics Engineer to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate. Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale.

As the Data Mining and Analytics Engineer, your exceptional skillset will create useful and actionable insight for the customer through the development of analytic solutions (hardware, analytics, tools, techniques, practices, deployment, standards, performance specifications, etc.) for analytic use cases developed during the performance of this project. You will work closely with the Analytics Research team to identify platform enhancements that support the forward-looking analytics under consideration.

The ideal candidate has extensive knowledge of a wide variety of systems and networks to include high-volume/high-availability systems. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest emerging technologies, and all while building a great career at ICF!

This role is primarily telework-based with occasional meetings at client locations (Arlington, VA or Pensacola, FL) or ICF facilities within the Washington, DC metro area (DMV).

What You Will Be Doing:

  • Perform knowledge elicitation from customer subject matter experts and convert that to build analytic solutions
  • Design, engineer, and optimize sustainment of large-scale distributed computation platforms and supporting environment (ecosystems) for various stakeholders, business owners, and industry partners
  • Oversee the transition of services from third-party vendors to the analytic environment and be responsible for ad hoc and formal end-user training
  • Identify applicable data to perform analytics and create solutions to acquire, transform, and load or correlate data components to and from the analytic environment
  • Develop custom data modeling procedures to assist with data mining, modeling, and production
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Interpret and communicate results to non-technical customers

What You Must Have:

  • Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related fieldwith 3+ years of experience in a related field
  • Practical working experience and advanced knowledge of cyber threats, tools, techniques, and processes
  • Strong experience in data modeling and working with datasets of all sizes using a variety of data mining and data analysis methods/tools
  • Active high-level security clearance required as part of client contract requirements
  • Due to the nature of the work and contract requirements, US citizenship is required

Preferred Skills/Experience:

  • Practical experience with the Databricks Intelligence Platform
  • Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details
  • Experience in developing analytic tools, processes, and governance for storing, modeling, capturing, and delivering data to the client's enterprise
  • Experience with computational notebook technologies such as Databricks, Zeppelin, or Jupyter
  • Experience with the application of visual analytics to computational analytic results
  • Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
  • Experience with database querying like SQL
  • Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products
  • Amazon Web Services (AWS) Certified Cloud Practitioner or higher desired
  • CompTIA Security+ or higher cybersecurity certification preferred

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98,614.00 - $167,644.00Virginia Client Office (VA88)