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Computational Data Science Jobs (NOW HIRING)

NCSL International

Computational Data Scientist

Aberdeen, MD · On-site

$115 - $130/hr

Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science ... Position Summary SURVICE Engineering is currently seeking a Computational Data Scientist to support ...

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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 of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$90 - $120/hr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

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 of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

Ph.D. in Bioinformatics, Computational Biology, Data Science, Epidemiology, or a related field (0-2 years post-graduate experience); or MS with 2-4 years of experience; or BS with 4+ years of ...

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How much do computational data science jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for computational data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a computational data scientist?

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.

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.

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.

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What job categories do people searching Computational Data Science jobs look for?

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Computational Data Science jobs near you
Infographic showing various Computational Data Science job openings in the United States 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 $118,171 per year, or $56.8 per hour.

Computational Data Scientist

SURVICE Engineering Company

Aberdeen Proving Ground, MD • On-site

$115K - $130K/yr

Full-time

Retirement, PTO

Posted 22 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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