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Mathematical Modeling Jobs (NOW HIRING)

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Mathematical Modeling information

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$27.5K

$56.7K

$60.5K

How much do mathematical modeling jobs pay per year?

As of Jul 16, 2026, the average yearly pay for mathematical modeling in the United States is $56,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 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 cities are hiring for Mathematical Modeling jobs? Cities with the most Mathematical Modeling job openings:
What are the most commonly searched types of Mathematical Modeling jobs? The most popular types of Mathematical Modeling jobs are:
What states have the most Mathematical Modeling jobs? States with the most job openings for Mathematical Modeling jobs include:
What job categories do people searching Mathematical Modeling jobs look for? The top searched job categories for Mathematical Modeling jobs are:
Infographic showing various Mathematical Modeling job openings in the United States as of July 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.
Mathematical Modeling and Simulation Analyst

Mathematical Modeling and Simulation Analyst

ManTech International

Arlington, VA • On-site

$104K - $172K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

General information
Requisition #
R69195
Locations
USA-VA-Arlington
Posting Date
07/09/2026
Security Clearance Required
Secret
Remote Type
Onsite
Time Type
Full time
Description & Requirements
Shape the future of defense with MANTECH! Join a team dedicated to safeguarding our nation through advanced tech and innovative solutions. Since 1968, we've been a trusted partner to the Department of Defense, delivering cutting-edge projects that make a real impact. Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career forward and be part of something extraordinary. Your journey starts now-protect and innovate with MANTECH!
MANTECH seeks a self-motivated, career and customer-oriented Mathematical Modeling and Simulation Analyst. This is an onsite position performing Modeling & Simulation (M&S) functions at Secretary of the Air Force, Studies and Analysis (SAF/SA) at the Pentagon in Arlington, VA.
In this role, you will be part of a team responsible for the continued development, coding, management, and running of the Combat Forces Assessment Model (CFAM) while conducting campaign-level analysis. You will be a key player in M&S functions and operations through designing, developing and presenting results of various studies.
Responsibilities include but are not limited to:
  • Conduct and participate in short notice as well as long-term analytical studies and assessments using a variety of tools and techniques to include qualitative, spreadsheet, and computer simulation-based analyses
  • Leading and assisting in the development of analysis plans for trade-off studies of Air Force combat aircraft and weapon requirements, modernization, and new acquisitions. Typical studies include weapon capability analyses, aircraft survivability analyses, current and future combat aircraft inventory requirement analyses, and weapon acquisition analyses
  • Using available data, subject matter expert knowledge, and best judgement, create and maintain input data for Combat Forces Assessment Model (CFAM) and work with other computer simulations
  • Run CFAM and analyze output data. Verify and validate the results
  • Present analysis of CFAM output to include insights, conclusions, and recommendations in written documents and verbal briefings for review by Air Force decision makers
  • Attend and participate in meetings both locally and at other locations as a subject matter expert on CFAM, air combat analysis, and SAF/SA analytic capability
  • Complete computer-based and in person training as required by the government and company policy
  • Travel up to 25% within the continental United States in support of customer needs

Minimum Qualifications:
  • Bachelor's degree in Mathematics, Operations Research, or related engineering and 5+ years of modeling and simulation experience
  • Experience in software programming skills using General Algebraic Modeling Systems
  • Experience in Linear Programming
  • Experience in data analysis, identifying trends in multi-variate data
  • Experience using Microsoft Office products (ex. Excel, PowerPoint)

Preferred Qualifications:
  • 10+ experience in the US Air Force or other military service
  • Graduate degree in Operations Research/Mathematics/Linear and Nonlinear Optimization
  • Experience in modeling & simulation of modern combat aircraft, other airborne systems, and weapons employment at the campaign level
  • Experience developing study plans that include background, purpose of study, scope/limitations, critical assumptions and constraints, measures of effectiveness, study parameters and variables, methodology description, data requirements and schedule
  • Capable of managing a team of experienced full-stack software engineers who program the front and back ends of a complex software application

Clearance Requirements:
  • Must be a US Citizen and have a current and active, Secret clearance with the ability to obtain and maintain a Top-Secret with SCI clearance

Physical Requirements:
  • Must be able to remain in a stationary position 50%.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer
  • The person in this position frequently communicates with co-workers, management, and customers

The projected compensation range for this position is $104,200.00-$172,900.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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