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Mathematical Modeling Jobs in Colorado (NOW HIRING)

Solid Power

Multiphysics Modeling Scientist

Louisville, CO · On-site

$105K - $140K/yr

Develop and validate mathematical models (both fundamental physics-based and data driven) to predict thermal, mechanical, and electrochemical behavior of ASSB materials, sub-assemblies, and finished ...

Chipton Ross

Systems Engineer 4

Colorado Springs, CO · On-site

$93.08/hr

Utilization of MBSE tools such as CAMEO or DOORS, System Architect and mathematical modeling and simulation to provide thought leadership and lead trade studies in assigned areas. * Requirements and ...

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Mathematical Modeling information

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$28.9K

$59.6K

$63.6K

How much do mathematical modeling jobs pay per year?

As of Jul 27, 2026, the average yearly pay for mathematical modeling in Colorado is $59,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $62,600.00 per year, depending on experience, location, and employer.

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

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

How to Get a Job in Mathematical Modeling

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

More about Mathematical Modeling jobs
What are the most commonly searched types of Mathematical Modeling jobs in Colorado? The most popular types of Mathematical Modeling jobs in Colorado are:
What are popular job titles related to Mathematical Modeling jobs in Colorado? For Mathematical Modeling jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Colorado look for? The top searched job categories for Mathematical Modeling jobs in Colorado are:
Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in Colorado as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $59,645 per year, or $28.7 per hour.
Modeling & Simulation Specialist | AFSIM Gunslinger

Modeling & Simulation Specialist | AFSIM Gunslinger

Infinity Labs

Colorado Springs, CO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Job Title: Modeling amp; Simulation Specialist | AFSIM Gunslinger
Location: Colorado Springs, CO
This position is open for an AFSIM Developer or AFSIM Analyst. All applicants must meet the general requirements listed below to be considered for either role. Additional requirements specific to the AFSIM Developer role are indicated throughout the description; candidates meeting these additional qualifications will be considered for the Developer role.
Who You Are:
Much like your counterparts in the Old West, you are not one to be trifled with. You’re as fearsome as Billy the Kid and as good a shot as Annie Oakley. Your instincts are unrivaled and your brand of justice final. Your weapons of choice; math, multi-lingual programming languages, and caffeine…lots of caffeine.
As AFSIM Gunslinger, your job is to tell customers what the modeling and simulation framework can do, could do, and won’t do. You should understand the framework architecture so well that others think you invented it or were present when the GOTS tool was born. You should know how to integrate models from other tools and frameworks much like the outlaws of old who used many weapons as part of a greater arsenal. From that knowledge, depth, and breadth of understanding, you’ve gained a reputation as a cold-blooded developer capable of meeting deliverable times, hunting down and finding complex scripting issues, and sniffing-out trouble in proposed engineering solutions. You detest proprietary solutions from other vendors and reject them with great force.
Who We Are:
Infinity Labs is an innovation-driven company with world-class expertise in the defense and national security sectors. Infinity provides cutting-edge engineering technologies and solutions, including modeling, simulation, and analysis (MS amp;A), research and development (R amp;D), cyber operational technology, and training. Our extensive project portfolio covers a vast range of physical scales and applications, from materials and components to subsystems, platforms, and systems of systems. We integrate science and systems as part of our overall solutioning approach and we investigate advanced concepts and technologies with disruptive application potential. The sophistication of our work directly reflects the ingenuity and proficiency of our team. Our workforce shapes the future, and our employees are our greatest asset.
What You’ll Do:
  • Configure digital representations of complex military systems to support operational utility, asset vulnerability, system integration, and concept of operations assessments within a synthetic simulation environment.
  • Work with domain experts to understand the nuances of specific systems (or classes of systems) and use abstraction techniques to model them at the mission-level.
  • Assemble known information when available and use engineering judgement to fill in the blanks to represent real world hardware, software, or processes used in military operations.
  • You must be able to manage your time effectively and interface with customers regularly. In addition, beyond simply meeting project milestones and deadlines, the ideal candidate sees modeling amp; simulation as a tool to empower decision makers and provides capabilities at the speed of relevance rather than endlessly pursuing “the perfect model”.
  • Coordinate with other model specialist and developers to plug capabilities into a greater system-of-systems environment used to analyze large scale mission vignettes. In the process, you will become a subject matter expert in the system types that you model.
  • If this position is listed as onsite, you will regularly collaborate with teammates and/or clients in person.
Additional responsibilities for Developer role:
  • Modify simulation frameworks to add functionality required to fully assess models and scenarios.
  • Develop new software plug-ins to increase simulation framework capability.
Minimum Qualifications/What You’ll Bring:
  • Minimum 2+ years of experience using the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) to model systems and systems of systems
  • Verifiable experience supporting government (military) programs
  • Proficiency in applying modeling amp; simulation techniques to support the decision-making process
Additional qualifications for Developer role:
  • Industry experience with C++ development (preferably with C++ 11 or higher)
Education/Credentials:
  • BS or BA degree in a math, physics, or engineering discipline
  • US Citizenship is required for consideration, as this job requires US government security clearance.
    • Nice to have – Secret level clearance
    • Acceptable – No current clearance but eligibility to obtain
Nice to Haves:
  • Advanced degree in math, physics, or engineering
  • Familiarity with using a high-level language such as Python, MATLAB/Simulink, or Julia
  • Familiarity with the AFSIM community and know where to find data/POCs if needed
  • Experience modifying the AFSIM framework through the development of new plugins
  • Deep understanding of the World Simulation Framework
  • You can explain what a component-based architecture is
  • You understand the terms native model, plugin, extension, command syntax, and scripting in an AFSIM context
  • You can explain what an Application, Scenario, and Simulation are and why they are important
  • Experience with other mission-level simulation frameworks
Physical Demands:
  • Must be able to remain in a stationary position and work on a computer for prolonged periods
This job description provides a high-level review of the responsibilities of the position and is not intended to be a complete list of all responsibilities, duties or skills that may be required for the job. The job description is subject to review and change at any time and other job-related duties or requirements may be assigned as necessary.
What We Offer:
As a nationally recognized Great Place to Work® and Military Times® Best for Vets: 2025 Employer, we prioritize employee well-being and experience, fostering a culture that values dedicated teams and committed individuals. Our premier total compensation package for eligible employees includes:
  • Comprehensive health benefits encompassing medical, dental, and vision coverage.
  • Company-paid disability and life insurance
  • Generous 401(k) plan with guaranteed company contribution
  • Paid time-off options including floating holidays, personal time, parental leave, and community service opportunities.
  • Investment in employee growth and development through tuition reimbursement and discounted tuition programs with select colleges.
  • Perks include a convenient in-town work location, free parking next to the building, and complimentary snacks and beverages.
  • In support of Colorado pay transparency laws, the estimated salary range for this position is $75,000-$140,000. Individual pay will be determined on a wide variety of job-related factors permitted by law, such as experience and training, location, licensure and certifications, skills, budgets, and market.
Infinity Labs is an equal opportunity employer, including disability/vets.

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