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How much do computational mathematics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for computational mathematics in the United States is $25.08, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $28.61 per hour, depending on experience, location, and employer.

How do computational mathematicians typically collaborate with other professionals on interdisciplinary projects?

Computational mathematicians often work closely with professionals from fields such as engineering, computer science, physics, and data science to tackle complex, real-world problems. Collaboration usually involves translating mathematical models into algorithms, developing simulations, and analyzing large datasets. Effective communication is key, as computational mathematicians must explain technical concepts to team members with varying expertise. These interdisciplinary projects provide opportunities to broaden your skill set and contribute to innovative solutions across industries, from finance to healthcare.

What are the key skills and qualifications needed to thrive as a computational mathematician, and why are they important?

To thrive as a Computational Mathematician, you need a strong background in mathematics, numerical analysis, and computer science, often supported by an advanced degree in mathematics or a related field. Proficiency with programming languages like Python, MATLAB, or C++, and familiarity with specialized mathematical software and high-performance computing systems are typically required. Analytical thinking, problem-solving, and effective collaboration are essential soft skills for addressing complex computational challenges. These skills and qualities are crucial for developing accurate models, solving real-world problems, and advancing research or industrial applications.

What is the difference between Computational Mathematics vs Data Scientist?

AspectComputational MathematicsData Scientist
Required CredentialsMathematics, Computer Science degrees, often with advanced courseworkStatistics, Computer Science, or related degrees, often with data analysis certifications
Work EnvironmentResearch labs, academia, tech companies focusing on algorithm developmentBusiness, tech firms, healthcare, analyzing large datasets
Employer & Industry UsageResearch institutions, universities, R&D departmentsTech companies, finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding technical roles involving algorithms and modelingAnalyzing data to inform business decisions

Computational Mathematics focuses on developing algorithms, mathematical models, and simulations, often in research or academic settings. Data Scientists analyze large datasets to extract insights and support decision-making in various industries. While both roles require strong analytical skills, Computational Mathematics emphasizes theoretical and algorithmic development, whereas Data Science centers on practical data analysis and visualization.

What do computational mathematicians do?

Computational mathematicians develop and apply mathematical models, algorithms, and numerical methods to solve complex scientific, engineering, and data analysis problems. They often work with computer simulations, programming languages, and software tools to analyze large datasets and optimize processes across various industries.
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Computational Mathematics jobs near you
Infographic showing various Computational Mathematics job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $52,166 per year, or $25.1 per hour.

Tenure-track position in Mathematical Sciences - Computational Mathematics (AY27/28)

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Posted 9 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

72nd of 628 rated colleges and universities

Job description

Description
The Department of Mathematical Sciences at Carnegie Mellon University invites applications for an open rank tenure-track position to begin September 1, 2027. This search will focus on the area of computational mathematics broadly construed. This includes optimization, mathematical foundations of machine learning and AI, AI for mathematics, and numerical analysis.
Demonstrated experience in mentoring students is desirable, and interest in advancing interdisciplinary endeavors is valued. Through this appointment the Department hopes to enhance our existing connections with the School of Computer Science, the Department of Statistics and Data Science, the College of Engineering, the Tepper School of Business, the Hoskinson Center for Formal Mathematics, or to develop new connections.
Qualifications
A Ph.D. in Mathematics or a closely related discipline is required.
Application Instructions
Applicants should submit all materials electronically through Interfolio and MathJobs. This includes a cover letter, curriculum vita, list of publications, a statement describing current and planned research, and a teaching statement. Candidates should also arrange for at least three letters of recommendation that will be solicited through MathJobs.
The review applications will begin on November 15, 2026. However, applications may be accepted and reviewed until the position is filled.

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