1

Numerical Methods Jobs in Texas (NOW HIRING)

Optimize quantitative code and numerical methods * Adapt, fix, write tests or in some cases re-implement strategies * Build quantitative research tooling * Build analytics for understanding how to ...

Optimize quantitative code and numerical methods * Adapt, fix, write tests or in some cases re-implement strategies * Build quantitative research tooling * Build analytics for understanding how to ...

next page

Showing results 1-20

Numerical Methods information

See Texas salary details

$25.6K

$52.8K

$56.4K

How much do numerical methods jobs pay per year?

As of Jun 16, 2026, the average yearly pay for numerical methods in Texas is $52,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $55,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Numerical Methods position, and why are they important?

To thrive in a Numerical Methods role, a strong background in applied mathematics, computational modeling, and problem-solving is essential, often supported by a degree in mathematics, engineering, or a related field. Proficiency with programming languages such as MATLAB, Python, or FORTRAN, and experience with numerical analysis software, are commonly required. Analytical thinking, teamwork, and effective communication are vital soft skills to excel in this position. These competencies are crucial for accurately analyzing complex data and collaborating across multidisciplinary teams to develop reliable computational solutions.

What are some common projects or problems handled by professionals specializing in Numerical Methods?

Professionals specializing in Numerical Methods typically work on projects involving the development and implementation of algorithms to solve mathematical models for engineering, physics, finance, or data science applications. Common responsibilities include simulating physical systems, optimizing processes, or analyzing large data sets using numerical techniques. These roles often involve close collaboration with engineers, scientists, or analysts to translate real-world problems into computational form and validate results against experimental data. The projects are diverse, providing ample opportunities to deepen expertise in both theoretical and practical aspects of numerical analysis.

What is a Numerical Methods job?

A Numerical Methods job involves developing, analyzing, and implementing algorithms to solve mathematical problems numerically. Professionals in this field work on optimizing computations for engineering, physics, finance, and other scientific applications. They use programming languages like Python, MATLAB, or C++ to create efficient and accurate numerical solutions. These jobs are common in industries such as aerospace, data science, and applied mathematics, where analytical models are essential for decision-making and simulations.

What are the most commonly searched types of Numerical Methods jobs in Texas? The most popular types of Numerical Methods jobs in Texas are:
Infographic showing various Numerical Methods job openings in Texas as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $52,846 per year, or $25.4 per hour.

Mathematics & Python Expert - Freelance AI Trainer

Mindrift

Dallas, TX

$76/hr

Part-time

Posted 24 days ago


Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original computational mathematics problems that simulate real mathematical research workflows;
  • Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
  • Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;
  • Base problems on real research challenges or practical applications from mathematical practice;
  • Verify solutions using Python with standard mathematical libraries;
  • Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for mathematicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

  • Degree in Mathematics (Pure or Applied) or related fields;
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Experience with numerical methods and symbolic computation;
  • Ability to design problems that mirror real mathematical research workflows;
  • Familiarity with computational complexity theory;
  • Strong written English (C1+).

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.