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Mathematical Modeler Jobs in Virginia (NOW HIRING)

$63.80K/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 ...

$63.80K/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 ...

Quantitative Risk Modeler

Vienna, VA · Hybrid

$55 - $71.25/hr

Quantitative Risk Modeler Location: Hybrid, Vienna, VA Schedule: Monday Friday, 40 hours/week ... Doctorate degree in mathematics, physics, or statistics. Advanced knowledge in probabilistic theory ...

Develop mathematical models, algorithms, and simulations to solve real-world, open-ended defense-related problems. * Leverage experience in mathematics and software development to design, implement ...

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Mathematical Modeler information

See Virginia salary details

$10.9K

$104.6K

How much do mathematical modeler jobs pay per year?

As of May 31, 2026, the average yearly pay for mathematical modeler in Virginia is $96,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $104,100.00 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 thrive as a Mathematical Modeler, you need strong analytical skills, a solid background in mathematics or applied mathematics, and typically a degree in a related field such as mathematics, engineering, or physics. Proficiency with programming languages (such as Python, R, or MATLAB), statistical software, and modeling tools is essential. Critical thinking, creativity, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing accurate models, solving complex real-world problems, and clearly conveying findings to diverse stakeholders.

What types of projects do mathematical modelers typically work on, and how do they collaborate with other teams?

Mathematical modelers often work on projects that require analyzing complex data and developing simulations or predictive models for fields like finance, healthcare, engineering, or environmental science. They regularly collaborate with cross-functional teams, such as data scientists, engineers, and domain experts, to ensure models are accurate and aligned with project goals. Effective communication is key, as modelers must explain their findings and model limitations to non-technical stakeholders. This collaborative environment helps ensure that the models developed are practical, actionable, and meet the needs of the organization.

What are Mathematical Modelers?

Mathematical Modelers are professionals who use mathematical techniques and computational tools to create models that represent real-world systems, processes, or phenomena. These models help predict outcomes, solve problems, and inform decision-making in fields such as engineering, finance, biology, and environmental science. Mathematical Modelers typically analyze data, develop algorithms, and validate models to ensure their accuracy and usefulness. Their work is essential for research, product development, and policy planning across various industries.

What is the difference between Mathematical Modeler vs Data Analyst?

AspectMathematical ModelerData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering, or tech companiesBusiness, marketing, finance, or healthcare sectors
Employer & Industry UsageUsed for developing complex models to predict or optimize systemsUsed for interpreting data to inform business decisions

While both roles involve working with data and quantitative methods, Mathematical Modelers focus on creating complex mathematical models to simulate and predict systems, often requiring advanced mathematical skills. Data Analysts primarily interpret existing data sets to generate insights and support decision-making. The roles overlap in skills but differ in scope and application.

Infographic showing various Mathematical Modeler job openings in Virginia as of May 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $96,333 per year, or $46.3 per hour.
Mathematical Statistics Series

$63.80K/yr

Other

Posted 10 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