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Mathematical Modeling Jobs in Colorado (NOW HIRING)

CO

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

CO

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

$63K/yr

... 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 ...

$63K/yr

... 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 ...

CO

$63K/yr

... 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 ...

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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 Jul 16, 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.

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 Statistics Series

Mathematical Statistics Series

US Department of the Air Force

Colorado Springs, CO

$63K/yr

Other

Re-posted 26 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, Professional and Scientific Positions and the Individual Occupational Requirement (IOR) for the GS-1529 Series.
BASIC REQUIREMENTS FOR ALL GRADE LEVELS:
Bachelor's degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: at least 24 hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as show above, plus appropriate experience or additional education.
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
SPECIALIZED EXPERIENCE:
GS-11:
Applicants must have at least one (1) year of specialized experience at the next lower grade GS-09, or equivalent in other pay systems. Examples of specialized experience includes mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out conventional scientific process. Experience in related disciplines to design, develop and adapt scientific methods and techniques.
OR
EDUCATION:
3 years of progressively higher level graduate education leading to a Ph.D. degree or Ph.D. or equivalent doctoral degree. NOTE: You must submit copy of official transcripts.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience may be used to qualify for this position as long as the computed percentage of the requirements is at least 100 percent. NOTE: You must submit a copy of official transcripts.
GS-12: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-11, or equivalent in other pay systems. Examples of specialized experience include space surveillance systems substantially similar in functionality, relevant mathematical and statistical sciences in order to design, test or upgrade software. Experience in administrative aspects of task engineering and management, e.g., procurement policies, preparation of work statements and development plans, cost evaluations, etc.
GS-13: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-12, or equivalent in other pay systems. Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more specialized areas of operation and cyber related theories, atmospheric density modeling, simulation and software systems to conduct complex original studies and apply research findings to broad studies of an unprecedented nature.
GS-14: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-13, or equivalent in other pay systems. Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more specialized areas of operation and cyber related theories, atmospheric density modeling, simulation and software systems to conduct complex original studies and apply research findings to broad studies of an unprecedented nature, skill in coordinating extensive projects in assigned areas of engineering principals, knowledge of regulations and mission and strategic objectives.
GS-15 Applicants must have at least one (1) year of specialized experience at the next lower grade GS-14, or equivalent in other pay systems. Examples of specialized experience include space surveillance network, space operational processes and procedures, orbital mechanics, applied physics and mathematics, applying and using mathematical and simulation models to verify and validate space systems. Broad management principles associated with directing highly skilled technical personnel and combining in house and external resources for complex analytical and technical projects.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs):
1. Knowledge or mathematics principles and concepts, and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes, knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques.
2. Knowledge in space surveillance systems substantially similar in functionality in order to design, test or upgrade software, knowledge of administrative aspects of task engineering and management.
3.Skill in broad areas of classical and modern higher mathematics to originate and develop mathematical models in cyber systems.
4. Knowledge of mathematics and physics for own independent research in antennas and propagation, electromagnetic systems concepts involving microwave antennas, radar, communications and RF sensor technology.
5. Knowledge of of safety and security regulations, practices and procedures, space surveillance network, space operational processes and procedures.
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