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Computational Data Science Jobs (NOW HIRING)

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 ...

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 ...

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How much do computational data science jobs pay per hour?

As of Jun 19, 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 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.
More about Computational Data Science jobs
What cities are hiring for Computational Data Science jobs? Cities with the most Computational Data Science job openings:
What states have the most Computational Data Science jobs? States with the most job openings for Computational Data Science jobs include:
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
Infographic showing various Computational Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, and 9% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Data Scientist

Data Scientist

Xavier University of Louisiana

New Orleans, LA • On-site

Full-time

Posted 24 days ago

Job description

Posting Details
Posting Summary
Position Title
Data Scientist
FLSA
Exempt
Department
Department Of Chemistry
Job Summary
Xavier University of Louisiana is accepting applications for a Data Scientist. The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans. AA/EOE
Minimum Qualifications
Requirements:
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Preferred Qualifications
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Special Requirements Summary
Work Hours
Monday thru Friday 8:00am until 5:00pm
KSA's
Knowledge, Education, Experience, and Proficiencies
PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/ Bioinformatics/Public Health or other quantitative sciences
Essential Duties and Responsibilities
Essential Duties and Responsibilities Description
The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans.
Posting Detail Information
Posting Number
S368P
Number of Vacancies
1
Desired Start Date
03/04/2024
Position End Date (if temporary)
Posting Date
02/06/2024
Application Review Date
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants
Attach online only your resume, cover letter, transcripts and contact information for 3 references.
Quicklink for Posting
https://jobs.xula.edu/postings/2990
About Xavier
About Xavier
Founded in 1925 by Saint Katharine Drexel and the Sisters of the Blessed Sacrament, Xavier is Catholic and historically Black. Located in New Orleans, the ultimate purpose of the University is to contribute to the promotion of a more just and humane society by preparing its students to assume roles of leadership and service in a global society. This preparation takes place in a diverse learning and teaching environment that incorporates all relevant educational means, including research and community service.

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