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Computational Data Science Jobs (NOW HIRING)

ExxonMobil

Computational Fluid Dynamics Engineer

Spring, TX · On-site

$102.70K - $121.10K/yr

Job Group Capability Data Science, Digital & Analytics Job Group Computational & Data Sciences Job Role Description Computational Engineer - Advanced is skilled in designing and building ...

ExxonMobil

Computational Fluid Dynamics Engineer

Spring, TX · On-site

$102.70K - $121.10K/yr

Job Group Capability Data Science, Digital & Analytics Job Group Computational & Data Sciences Job Role Description Computational Engineer - Advanced is skilled in designing and building ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Applications (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 · 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 ...

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How much do computational data science jobs pay per hour?

As of May 28, 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 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.

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 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 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? The top searched job categories for Computational Data Science jobs are:
Computational Data Science jobs near you
Computational & Data Science Research Spec. 2 or 3

Computational & Data Science Research Spec. 2 or 3

UC San Diego

La Jolla, CA • On-site

$97.20K - $182K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Computational & Data Science Research Spec. 2 or 3

Under the direction of the faculty director and in collaboration with AI faculty and the Department Chair, the incumbent will advise on and resolve complex research and technology projects/issues, present research and technical briefings to senior management, faculty and students. The incumbent will contribute to the research and technical direction in one or more technical specialties, and they will perform advanced research and technology development to contribute to design of future AI systems. The incumbent may also represent the organization at national and international meetings, conferences and committees.

Occasional evenings, weekends and overtime may be required.

This position will be filled at the Computational and Data Science Research Specialist RP title level 2 or level 3, depending on the experience and qualifications of the selected candidate.

Hiring Range for Computational and Data Science Research Specialist 2 RP, Title Code 005238, is $88,000 - $124,000/year

Hiring Range for Computational and Data Science Research Specialist 3 RP, Title Code 005239, is $97,200 - $139,000/year

Full Salary Range for Computational and Data Science Research Specialist 2 RP, Title Code 005238, is $88,000 - $124,000/year

Full Salary Range for Computational and Data Science Research Specialist 3 RP, Title Code 005239, is $97,200 - $182,000/year

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