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Mathematical Modeling Jobs in Colorado (NOW HIRING)

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 ...

Reliability Engineer

Littleton, CO · On-site

$103K - $130K/yr

... Mathematical modeling b.) Statistical analysis c.) Electrical circuit design d.) Environmental effects on performance ** US Citizenship with the willingness/ability to obtain/maintain a Secret ...

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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.

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 job categories do people searching Mathematical Modeling jobs in Colorado look for? The top searched job categories for Mathematical Modeling jobs in Colorado are:
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.
Mathematician

$63K/yr

Other

Posted 15 days ago


Job description

Click on "Learn more about this agency" button below for IMPORTANT additional information.
This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection.Qualifications:In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Group Coverage Qualification Standard for Professional and Scientific Positions.
BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics.
OR
Combination of education and experience - courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education.
SPECIALIZED EXPERIENCE: In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below.
GS-11: One year of specialized experience (equivalent to GS-09) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes performing full range of activities required for the scientific area under study and utilizing an intense application of specialized methods and techniques of the required field of mathematics; gathering, analyzing and processing of data and information to support work efforts.
GS-12: One year of specialized experience (equivalent to GS-11) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes directing, coordinating and reviewing work of the other members of the team; planning, organizing and conducting the operational and performance tests and technical evaluation of test results.
GS-13: One year of specialized experience (equivalent to GS-12) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes advising and providing technical assistance to scientific, engineering, mathematical and managerial personnel on the mathematical aspects of range safety work; reviewing scientific and mathematical studies and papers and convert results into practical recommendations and procedures.
GS-14: One year of specialized experience (equivalent to GS-13) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes formulating, conducting, organizing and directing highly creative and independent research programs; defining and selecting basic problems for investigation based on needed improvements to the state of the art in mathematical modeling; providing contractual technical direction to programs of considerable scope and complexity, with nominal, broad oversight.
GS-15: One year of specialized experience (equivalent to GS-14) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes providing operational and scientific expertise to explore basic research initiatives for a new generation; overseeing policy development, plans, and operations in critical research initiatives and advanced technologies for future precision capabilities on a continuing or project basis; identifying and recommending critical research initiatives and establishes goals toward future precision capabilities.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
  1. Knowledge of mathematics policies, theories, principles and concepts and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes.
  2. Knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques.
  3. Knowledge of analytical techniques to develop, stimulate, and analyze data.
  4. Ability to communicate effectively both orally and in writing.
  5. Knowledge of computer operations and standard software applications.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER