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Computational Mathematics Jobs (NOW HIRING)

UAB NOVA RENT

COMPUTATIONAL SCIENTIST

Birmingham, AL · On-site

$85K - $139K/yr

COMPUTATIONAL SCIENTIST University of Alabama at Birmingham The Department of Anesthesiology and ... Proposes solutions in engineering, the sciences, and other fields using mathematical theories and ...

UAB NOVA RENT

COMPUTATIONAL SCIENTIST

Birmingham, AL · On-site

$85K - $139K/yr

COMPUTATIONAL SCIENTIST University of Alabama at Birmingham The Department of Anesthesiology and ... Proposes solutions in engineering, the sciences, and other fields using mathematical theories and ...

UAB

COMPUTATIONAL SCIENTIST

Tampa, FL · On-site

$85K - $139K/yr

COMPUTATIONAL SCIENTIST University of Alabama at Birmingham The Department of Anesthesiology and ... Proposes solutions in engineering, the sciences, and other fields using mathematical theories and ...

Howard

Assistant Professor

Locke, NY · On-site

From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and ...

UAB

COMPUTATIONAL SCIENTIST

Tampa, FL · On-site

$85K - $139K/yr

COMPUTATIONAL SCIENTIST University of Alabama at Birmingham The Department of Anesthesiology and ... Proposes solutions in engineering, the sciences, and other fields using mathematical theories and ...

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Computational Mathematics information

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$25

$43

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.

Principal Data Architect

Swift Hire LLC

Menlo Park, CA • Remote

Contractor

Posted 8 days ago

Job description

Principal Data Architect

Location: Menlo Park, CA(Remote) 

Position Overview: We are looking for a forward thinking 10+ Years Data Architect, who is visionary to pioneer the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric. In this high-impact mandate, you will dismantle traditional, rigid ETL pathways and help implement an intelligent "nervous system" framework where operational metadata is continuously active, enterprise data governance is completely computational, and multi-party data virtualization relies on zero-copy architectures. Mandatory Technical: • Active Metadata Infrastructure: Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation). • Advanced Semantic Engineering: Comprehensive mastery of semantic web standards, including RDF, OWL, and SHACL, for building ontology-first structural data models alongside SPARQL for context-aware graph reasoning. • Policy-as-Code Compliance: Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers. • Caelum or Amundsen push-events: Alongside DataHub's Actions Framework to drive real-time, event-based data quality orchestration and automated schema rollbacks

Note: 

Target Educational Profiles: • Required: Minimum of 10+ years of enterprise data strategy experience. • Preferred: Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics. • Key Focus Areas: Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum/Amundsen.