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Computational Data Science Jobs in Virginia (NOW HIRING)

NT Concepts

Data Scientist

Chantilly, VA · On-site

Generate representative data sets for systems development and data science initiatives. * Build ... and computational methods. * Develop and/or consult on advanced methodological approaches ...

Red Arch Solutions

Data Scientist

Reston, VA · On-site

Utilize advanced tools and computational skills to interpret, connect, predict, and make ... data fusion, and data science tools (Tableau, Python, R, pandas, Jupyter Notebooks etc.

Red Arch Solutions

Data Scientist

Reston, VA · On-site

Utilize advanced tools and computational skills to interpret, connect, predict, and make ... data fusion, and data science tools (Tableau, Python, R, pandas, Jupyter Notebooks etc.

Mindlance

Senior Data Scientist

Mclean, VA · On-site

... science, or computer programming to large data sets. Qualifying coursework may include but is not limited to statistics, mathematical programming, optimization, machine learning, computational ...

Level Up Llc

Data Scientist

Reston, VA · On-site

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

Level Up Llc

Data Scientist

Reston, VA · On-site +1

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

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

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

Guidehouse

Senior Data Scientist

Chantilly, VA · On-site

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

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Computational Data Science information

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How much do computational data science jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for computational data science in Virginia is $56.33, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $66.73 per hour, depending on experience, location, and employer.

What does a computational data scientist do?

A computational data scientist analyzes large datasets using programming languages like Python or R, develops algorithms, and applies statistical models to extract insights and solve complex problems. They often work with machine learning tools and require strong analytical skills to support data-driven decision-making in organizations.

What is the difference between Computational Data Science vs Data Analyst?

AspectComputational Data ScienceData Analyst
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; often includes programming certificationsUsually requires a degree in Statistics, Business, or related fields; may include basic data analysis certifications
Work EnvironmentInvolves programming, modeling, and developing algorithms; often in tech or research settingsFocuses on interpreting data, creating reports, and supporting decision-making; in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries requiring advanced modelingCommon in finance, marketing, healthcare, and business sectors

Computational Data Science involves advanced programming, algorithm development, and modeling, often in technical environments. Data Analysts focus on interpreting data, generating reports, and supporting business decisions. While both roles work with data, Computational Data Scientists typically require stronger programming skills and work on building models, whereas Data Analysts focus on data interpretation and visualization.

What is Computational Data Science?

Computational Data Science is an interdisciplinary field that combines computer science, statistics, and domain knowledge to extract insights and knowledge from complex data sets using computational techniques. Professionals in this field use algorithms, machine learning, and advanced analytics to solve real-world problems by processing and interpreting large volumes of data. The work often involves programming, data modeling, and visualization, making it crucial in industries such as healthcare, finance, and technology. Computational Data Scientists help organizations make data-driven decisions and innovate through predictive modeling and data analysis.

Is 40 too late for data science?

Computational Data Science is a field where individuals can enter at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning through online courses or certifications.

What are some common challenges faced by computational data scientists when working on cross-functional teams?

Computational data scientists often collaborate closely with professionals from diverse backgrounds, such as software engineers, domain experts, and business stakeholders. One common challenge is translating complex technical findings into actionable insights for non-technical team members. Additionally, aligning project goals and expectations across disciplines can require extra communication and flexibility. Overcoming these challenges often involves developing strong interpersonal skills, proactively clarifying requirements, and fostering a collaborative team culture.

Which is better, DS or CS?

Computational Data Science and Computer Science are related fields, but Data Science focuses on analyzing and interpreting data using statistical and machine learning techniques, while Computer Science emphasizes algorithms, programming, and software development. The choice depends on your career goals; Data Science roles often require skills in statistics, data visualization, and tools like Python or R, whereas Computer Science roles may focus more on software engineering and systems design.

What are the key skills and qualifications needed to thrive as a Computational Data Scientist, and why are they important?

To thrive as a Computational Data Scientist, you need a strong background in mathematics, statistics, programming (especially Python or R), and data analysis, often supported by a relevant degree in computer science, statistics, or a related field. Proficiency with data manipulation tools (like Pandas, NumPy), machine learning frameworks (such as TensorFlow or Scikit-learn), and cloud computing platforms is highly valued, along with experience using data visualization tools. Critical thinking, problem-solving, communication, and collaboration skills make someone stand out in this role. These abilities are crucial for extracting actionable insights from complex data, building effective models, and communicating findings to drive informed business decisions.

Is computational science a good career?

Computational Data Science is a growing field that combines programming, statistical analysis, and domain knowledge to solve complex problems using data. It offers opportunities in industries such as technology, finance, healthcare, and research, often requiring skills in machine learning, data visualization, and programming languages like Python or R. The career typically involves continuous learning and can provide competitive salaries and job stability.
What are popular job titles related to Computational Data Science jobs in Virginia? For Computational Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computational Data Science jobs in Virginia look for? The top searched job categories for Computational Data Science jobs in Virginia are:
What cities in Virginia are hiring for Computational Data Science jobs? Cities in Virginia with the most Computational Data Science job openings:
Computational Data Science jobs near you
Infographic showing various Computational Data Science job openings in Virginia as of June 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,157 per year, or $56.3 per hour.
Data Scientist

Data Scientist

NT Concepts

Chantilly, VA • On-site

Other

Posted 25 days ago

Job description

NTC OVERVIEW:  We are seeking a Data Scientist to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you. 

Mission Focus:  As a Data Scientist, you will have the unique opportunity to solve hard problems and help turn complex concepts into reality to advance and enhance systems supporting the defense of our nation. You will be part of a solutions-oriented, Agile/Scrum team designing and developing custom applications and components to support innovative data science capabilities. 

Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow SAFe practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve. 

If cutting edge development projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let's connect. 

Clearance: Active TS/SCI Poly clearance.  

Location/Flexibility: Chantilly, VA - 100% Onsite

Position Description:

  • Perform research and development on advanced artificial intelligence and machine learning techniques for customers. 
  • Communicate results of AI/ML research to non-technical audiences, translating complex findings into actionable insights. 
  • Write efficient, distributed, and parallelized Python code to support AI/ML initiatives. 
  • Organize and manage tasks using agile methodologies and tools such as JIRA and Confluence. 
  • Liaison with mission partners to represent customer workflows and establish interorganizational relationships. 
  • Assess, transform, organize, and optimize data for use by machine learning algorithms. 
  • Generate representative data sets for systems development and data science initiatives. 
  • Build data pipelines that enable data scientists, engineers, and other stakeholders. 
  • Implement source code and code provided by the data science team. 
  • Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. 
  • Develop data-driven solutions to difficult mission challenges. 
  • Develop scripts and software programs to address requirements using programming languages, tools, and computational methods. 
  • Develop and/or consult on advanced methodological approaches, statistical and algorithmic analysis, and/or tailored software application support. 
  • Create quantitative and qualitative data analytics and models to represent human behavior. 
  • Identify patterns in data and translate findings into actionable intelligence. 
  • Cooperate with software professionals in integrating analytical logic into a general software framework. 
  • Train and fine-tune foundation models to address real intelligence questions and advance the Intelligence Community. 
  • Write compelling documentation and reports for decision makers. 

 Basic Qualifications:  

  • Bachelor's degree in a technical field (Computer Science, Mathematics, Statistics, or related discipline). 
  • 4+ years of Data Science experience, including designing and implementing data curation techniques, especially for imagery data. 
  • Proficiency in Python and/or R, with experience using relevant programming languages and technologies. 
  • Familiarity with an array of data science tools and languages including Python, R, SQL, and others as needed. 
  • Experience with Machine Learning, Computer Vision, and Object Detection. 
  • Experience building and maintaining ETL pipelines, including Kubeflow pipelines. 
  • Hands-on experience with imagery data, overhead imagery (optical or Synthetic Aperture Radar (SAR)), and synthetic data. 
  • Strong understanding of large-scale distributed processing and parallel computing. 
  • Familiarity with machine and deep learning libraries such as Scikit-learn, TensorFlow, and PyTorch. 
  • Experience organizing and managing tasks in an agile environment (JIRA/Confluence). 
  • Ability to build and maintain strong relationships with mission partners and stakeholders. 
  • Proficient with Git version control systems and comfortable working in Linux OS environments. 
  • Prior experience with PyTorch, Keras, and overhead imagery would be beneficial but is not required. 

Physical Requirements:

  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 10-15 pounds at times.

#JT

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