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Computational Data Analytics Jobs (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... You will develop and maintain NIH databases, build analytical tools, support computational modeling ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical ...

Mattel

Manager, Data Analytics

El Segundo, CA · On-site

Design and execute complex analyses using statistical and computational methods to evaluate e ... Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce ...

Mattel

Manager, Data Analytics

El Segundo, CA · On-site

Design and execute complex analyses using statistical and computational methods to evaluate e ... Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce ...

Mattel

Manager, Data Analytics

El Segundo, CA

Design and execute complex analyses using statistical and computational methods to evaluate e ... Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce ...

Neptune Bio

Computational Biologist

New York, NY · On-site

Build, optimize, and scale data analysis pipelines using modern cloud computing environments (e.g ... Stay current with advances in computational biology, machine learning, and scalable infrastructure ...

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Computational Data Analytics information

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How much do computational data analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for computational data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 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.
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Computational Data Analytics jobs near you
Infographic showing various Computational Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Computational Data Scientist

SURVICE Engineering Company

Aberdeen Proving Ground, MD • On-site

$115K - $130K/yr

Full-time

Retirement, PTO

Posted 13 days ago

Job description

Join Us in Making a Difference in the Lives of Those Defending Our Nation!
Why SURVICE?
Come join the SURVICE Engineering mission to protect, enhance, and enable those who defend the United States. Since 1981, we have supported the DoD community, as well as Homeland Security, advanced technologies, environmental, and commercial markets. Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science, acquisition, technical writing, training, and other technical and administrative fields. And many of our personnel have DoD and/or operational military experience. If you're looking for a challenging and rewarding career with a leading organization, come see what we can offer you!
Position
Computational Data Scientist
  • Location: Aberdeen Proving Ground, Maryland
  • Security Clearance: Active Clearance or Eligible to Obtain - U.S. citizenship required
  • Salary: $115,000 - $130,000 Depending on Experience and Education
  • Travel: 5%
  • Benefits: SURVICE Engineering offers a total rewards package to include competitive salaries, comprehensive insurance options, paid time off, 401k, flexible spending, tuition reimbursement.

Position Summary
SURVICE Engineering is currently seeking a Computational Data Scientist to support our Aberdeen Research Operation. You will accelerate your career and become an integral team member within the defense community.
Primary Duties and Responsibilities
  • Carry out forward-looking programs of materials research and process modeling leveraging data science methodologies and tools including artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or other emergent techniques.
  • Work with a multidisciplinary team of ARL experimental, theoretical, and computational scientists through decision making aids such as visual analytics and human-in-the-loop strategies to improve scientific efficiency and impact.
  • Apply learning algorithms on high-dimensional, complex and/or streaming data sets with limited labels and of diverse quality for smart decision making.
  • Pursue data processing of heterogeneous types from numeric, digital objects, images, structured to unstructured from data capture, data integration, data cleaning to data management.
  • Interface with data scientists in academic, industrial and government labs to identify and transition cutting edge tools for use at ARL, and work with outside partners to fill critical gaps in skills and capabilities.
  • Prepare presentations and written documents summarizing efforts in Government format

Minimum Qualifications of Computational Data Scientist
Masters of Science or PhD in Computer Science or Math related discipline and 3+ years of relevant experience. Exceptional candidates with less experience will be considered. Candidates are not required to possess all qualifications; if you possess some of the desired qualifications, please apply.
  • MS or PhD concentration in machine learning with at least three (3) independent projects including internships and thesis work OR minimum of five (5) years of dedicated experience with machine learning.
  • Practical experience in applying data science to model complex real-world problems.
  • Proficient in using Python and AI/ML models.
  • Experience in communicating results through reports and presentations.

About Us
SURVICE Engineering is a nationally recognized, single-source engineering service provider for Government and Industry organizations involved in all phases of the systems engineering process. Our employees are our most valuable asset, and they are proud to have supported the development, testing, analysis, and modeling and simulation (M&S) of many of the major U.S. air, land, and sea combat systems in the field today. They have also contributed their expertise to other vital national defense programs and technologies that involve survivability, cybersecurity, information technology/management, software engineering, unmanned aerial systems (UASs), and metrology/reverse engineering.
SURVICE Engineering is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. VEVRAA Federal Contractor.

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