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Mathematical Modeling Jobs in Colorado (NOW HIRING)

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 ...

bet365

Quantitative Analyst - Sports

Denver, CO · Hybrid

$85K - $110K/yr

The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. You will collaborate closely with ...

USAA

Actuary - Auto and Property Modeling

Colorado Springs, CO · On-site +1

$112K - $132K/yr

Utilizes advanced actuarial, mathematical, or statistical techniques to augment actuarial work ... Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. * US military ...

USAA

Actuary - Auto and Property Modeling

Colorado Springs, CO · On-site +1

$114K - $135K/yr

Utilizes advanced actuarial, mathematical, or statistical techniques to augment actuarial work ... Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. * US military ...

USAA

Actuary - Auto and Property Modeling

Colorado Springs, CO · On-site +1

$114K - $135K/yr

Utilizes advanced actuarial, mathematical, or statistical techniques to augment actuarial work ... Knowledge of Model Risk Management, Model Governance, and Regulatory requirements. * US military ...

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All JobsMathematical Modeling JobsMathematical Modeling Jobs in Colorado

Mathematical Modeling information

See Colorado salary details

$28.9K

$59.6K

$63.6K

How much do mathematical modeling jobs pay per year?

As of Jun 25, 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 do mathematical modelers do?

Mathematical modelers develop and analyze mathematical representations of real-world systems to solve complex problems across various fields such as engineering, finance, and science. They use tools like statistical analysis, computer simulations, and programming languages to create models that predict behavior and inform decision-making.

What careers use mathematical modeling?

Mathematical modeling is used in careers such as data scientist, operations researcher, financial analyst, engineer, and epidemiologist. These roles involve developing models to analyze data, optimize processes, or predict outcomes, often requiring skills in programming, statistics, and domain-specific knowledge.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. These positions typically require strong analytical skills, a background in mathematics or related fields, and security clearance. Mathematicians in the FBI may work on developing algorithms, analyzing complex data, or supporting investigations.

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 become a mathematical modeller?

To become a mathematical modeller, you typically need a bachelor's degree in mathematics, applied mathematics, engineering, or a related field, with advanced roles often requiring a master's or Ph.D. in a quantitative discipline. Developing strong skills in programming, data analysis, and modeling tools such as MATLAB, R, or Python is essential, along with experience in applying mathematical techniques to real-world problems through internships or projects.

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.
Missile Modeling IR Plume Engineer

Missile Modeling IR Plume Engineer

Qualis LLC

Colorado Springs, CO • On-site

Full-time

Posted 6 days ago

Job description

Qualis LLC is seeking a Missile Modeling IR Plume Engineer in Colorado Springs. This position requires a detail-oriented engineer responsible for developing high-fidelity threat missile signature data packages for use in a variety of M&S tools and media. Must have a good understanding of M&S methods and processes. Must be able to apply standard engineering and mathematical algorithms to ensure the accurate portrayal of expected phenomenology characteristics during the flight of a missile. The selected individual must be able to work with little or no direct supervision, work as an integral member of a product delivery team, and meet time-critical delivery schedules. This position will be located on-site at Schriever Space Force Base, in Colorado Springs, CO.

This role requires candidates to be on-site daily with no option for remote/hybrid work.

Essential Functions:

  • Gain experience with threat model phenomenology with a focus on Infrared (IR) signatures
  • Research into IR signature predictions and simulation models
  • Actively work with the team to ensure completion of data production needs in support of MDA Ground Test Modeling and Simulation
  • Work in close coordination with TSE engineers for software requirements of threat modeling tools
  • Understand stakeholder requirements and ensure the quality production of threat missile data


Basic Requirements:


  • Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 2 years of related experience, or a Master’s degree in a STEM discipline and 0 years of experience.
  • Experience with technical analysis of M&S data sets
  • Experience with Verification and Validation of M&S data
  • Candidate must be results-focused, work well within a dynamic environment, be self-motivated, be able to work in a team environment, and be able to produce reliable products and documentation within established deadlines
  • Must already possess an active DoD Secret clearance
  • Must be able to work both independently and in a team environment
  • Good oral and written communication skills
  • Experience with scripting/automation languages such as Python, Bash, or MATLAB
  • Excellent time management and great attention to detail are necessary
  • Knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles

Preferred Requirements:

  • Strong math, physics, or engineering background is preferred
  • Previous experience with analyzing flight characteristics, motion, atmospheric dynamics, and missile performance parameters of ballistic missiles is highly desirable
  • Background in infrared signature modeling
  • Technical Planning, project management, and project scheduling experience
  • Experience with Blackbody IR Emissions
  • Familiarity with Optical Signatures Code (OSC)
  • Experience with Joint Army Navy NASA Air Force (JANNAF) plume codes for predictive signatures (SOCRATES-P, PERCORP, VIPER, etc.)
  • Strong knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles
  • Strong background in missile system engineering performance is highly desirable
  • Experience in Agile software development methodologies, including Scrum and Kanban
  • Familiarity and/or experience with Model-based Systems Engineering theory and tools
  • Active or Interim DoD Secret Clearance with ability to obtain a Top Secret with access to SCI


Benefits

Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment.

Equal Opportunity Employer/M/F/Vet/Disabled and a Participant in E-Verify