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Computational Mathematics Jobs (NOW HIRING)

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics. Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics. Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics. Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics. Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace ...

Software Technology Inc

Data Architect - Active Metadata

$65.25 - $84/hr

S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics. Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace ...

Dana-Farber Cancer Institute

S. in bioinformatics, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological ...

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Computational Mathematics information

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How much do computational mathematics jobs pay per hour?

As of Jul 3, 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.

What Is Computational Mathematics?

The field of computational mathematics combines applied mathematics and computer science. Your responsibilities include using computers to create models to analyze data sets, make predictions, and develop solutions for mathematical problems. For example, as part of your duties you might use computational mathematics to create mathematical models of website traffic or social media activity in order to develop a strategy to increase traffic or gain more followers. Computational mathematics is a valuable skill in many fields, such as software development, computer programming, research, engineering, teaching, and finance. A background in computational mathematics grants you math, statistics, and computer science skills, giving you the ability to gather, analyze, and apply information for real-world applications.

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.

Does the FBI hire mathematicians?

Yes, the FBI employs mathematicians in roles such as cryptanalysts, intelligence analysts, and data scientists. These positions often require strong analytical skills, proficiency in programming and statistical tools, and security clearances. Mathematicians in the FBI contribute to national security through data analysis, code-breaking, and threat assessment.

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 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 programming, simulations, and high-performance computing to analyze large datasets or optimize systems across various industries.

What is the highest paid math job?

In computational mathematics, roles such as quantitative analysts, data scientists, and research scientists often have the highest salaries, especially in finance, technology, and consulting industries. These positions typically require advanced skills in programming, statistical analysis, and mathematical modeling, with top earners often holding advanced degrees and certifications.

What jobs can you get with computational mathematics?

Computational mathematics graduates can pursue roles such as data analyst, quantitative analyst, operations researcher, software developer, or computational scientist. These jobs often require strong programming skills, knowledge of algorithms, and experience with mathematical modeling tools like MATLAB or Python.

What is computational mathematics?

Computational mathematics is a field of study that uses mathematical models, numerical analysis, and algorithms to solve scientific, engineering, and mathematical problems using computers. It involves the development and implementation of computational methods to analyze and solve complex real-world problems that are difficult or impossible to handle analytically. Professionals in this field often work on simulations, optimization, data analysis, and the creation of mathematical software for various industries.
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Computational Mathematics jobs near you
Infographic showing various Computational Mathematics job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 28% Part Time, and 6% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $52,166 per year, or $25.1 per hour.
Data Architect - Active Metadata

Data Architect - Active Metadata

Software Technology Inc

Remote

$65.25 - $84/hr

Other

Posted 10 days ago

Job description

Data Architect

Location: Menlo Park, CA (Remote)

Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics.

Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a "nervous system" where metadata is active, governance is computational, and data sharing is zero-copy.

Mandatory Skills:

  • Active Metadata: Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair).
  • Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning.
  • Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context-aware access control.

Other Technical Skills:

  • Advanced Privacy: Implementation of Homomorphic Encryption (FHE) or SMPC for analytics on encrypted PII.
  • Zero-Copy Architecture: Expertise in Delta Sharing for cross-cloud analytics without egress.
  • Compute: Trino (GraalVM), StarRocks, DuckDB (WASM).
  • Orchestration: Dagster, Airflow (Provider-level).
  • Semantic Layer: Stardog, Apache Jena, GraphQL Federation.
  • System Languages: Rust, Clojure, or Java.

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