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Applied Mathematics Government Jobs in Virginia (NOW HIRING)

... government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of ... Master's degree or higher in Statistics, Applied Mathematics, Data Science, or a related ...

S. Government security clearance, applicants who do not currently hold the required clearance will ... This individual combines expertise in computational modeling, applied mathematics, physics, and ...

S. Government security clearance, applicants who do not currently hold the required clearance will ... This individual combines expertise in computational modeling, applied mathematics, physics, and ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Elder Research is a Government contractor and many of our positions require US Citizenship.

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Elder Research is a Government contractor and many of our positions require US Citizenship.

Government. * PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline * 3+ years of experience on RF programs, including the development of advanced ...

Software Engineer - R117

Herndon, VA · On-site

$120 - $180/hr

Government Top Secret security clearance or higher * BA/BS or higher degree in computer science, physics, applied mathematics, engineering, or related technical discipline * At least 4 years ...

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Applied Mathematics Government information

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$22.3K

$58.3K

$93.7K

How much do applied mathematics government jobs pay per year?

As of Aug 29, 2026, the average yearly pay for applied mathematics government in Virginia is $58,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $69,400.00 per year, depending on experience, location, and employer.

What is an applied mathematics government job?

An Applied Mathematics Government job involves using mathematical models, statistical analysis, and computational techniques to solve complex problems in public policy, national security, economics, and scientific research. Professionals in this field work in various government agencies, such as the Department of Defense, NASA, or the Census Bureau, to analyze data, optimize operations, and support decision-making. Their work can include risk assessment, cryptography, resource allocation, and predicting trends to inform policy. Strong analytical skills, programming knowledge, and expertise in mathematical modeling are essential for success in these roles.

What types of projects do applied mathematics professionals typically work on within government agencies?

Applied Mathematics professionals in government agencies often work on projects involving data modeling, statistical analysis, and forecasting to support policy development, resource management, and program evaluation. Their work can include analyzing population trends, optimizing transportation networks, or developing risk assessment models for public health and safety. Collaboration is common with teams of economists, engineers, policymakers, and IT specialists. These roles offer the opportunity to make a significant impact on community well-being and public service outcomes while building a strong foundation for career growth within the public sector.

What are the key skills and qualifications needed to thrive in the applied mathematics government position, and why are they important?

To thrive in an Applied Mathematics Government role, you typically need a strong background in mathematics, statistics, data analysis, and a relevant degree such as applied mathematics, statistics, or a related field. Familiarity with analytical software like MATLAB, R, Python, and experience with government databases or modeling tools is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help candidates excel in cross-functional government teams. These skills are essential for delivering rigorous analyses that inform public policy, resource allocation, and decision-making within government agencies.

What kind of jobs can I get with an applied mathematics degree?

Applied mathematics graduates can pursue roles such as data analyst, operations researcher, quantitative analyst, actuary, or computational scientist. These jobs often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical and mathematical modeling in various industries including finance, technology, and government agencies.

What are popular job titles related to Applied Mathematics Government jobs in Virginia?

For Applied Mathematics Government jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics Government jobs in Virginia look for?

The top searched job categories for Applied Mathematics Government jobs in Virginia are:

Infographic showing various Applied Mathematics Government job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $58,332 per year, or $28 per hour.

Applied Mathematician- Multi-Object Tracking

General Atomics

Charlottesville, VA • On-site

Full-time

Re-posted 7 days ago


General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

10th of 72 rated aerospace companies


Job description

Job Summary
General Atomics Integrated Intelligence, Inc. (GA-Intelligence), an affiliate of General Atomics, was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry.
We build mission-critical software and analytics for defense and intelligence customers operating in complex, data-rich, and high-consequence environments. Our teams solve hard technical problems across tracking, sensor fusion, geospatial analytics, and large-scale operational software. We value rigorous thinking, sound technical judgment, and practical execution.
This is an environment for people who want their work to matter. Our teams partner closely across mathematics, software engineering, systems engineering, and mission domains to build capabilities that are used in the real world. We offer the opportunity to work on technically demanding problems with strong teammates in an organization that cares about both innovation and operational impact.
We are seeking an Applied Mathematician to help develop advanced tracking algorithms (for tracking moving objects using sensors) for mission-critical applications. This role is ideal for someone with deep mathematical training, strong programming ability, and a desire to apply rigorous analytical thinking to difficult real-world problems involving uncertain, incomplete, ambiguous, and dynamic data.
You will work with engineers, tracking specialists, and technical leaders to design, evaluate, and improve algorithms for detecting, associating, and maintaining tracks across large volumes of sensor and contextual data. The right candidate will be comfortable moving between mathematical analysis, algorithm design, simulation, experimentation, and software implementation.
This is a hands-on technical role for someone who enjoys turning theory into operational capability.
DUTIES AND RESPONSIBILITIES:
  • Develop and improve algorithms for multi-object tracking, data association, track initiation, track maintenance, and track quality assessment.
  • Apply advanced mathematical and statistical methods to problems involving noisy, incomplete, ambiguous, and time-varying data.
  • Design, prototype, implement, and evaluate tracking approaches in software.
  • Analyze tracker performance and propose improvements to accuracy, robustness, scalability, and computational efficiency.
  • Build simulation, test, and evaluation methods to characterize algorithm behavior across a range of operational conditions.
  • Work closely with software engineers to transition algorithms from prototype to production-quality implementations.
  • Collaborate with domain experts, system engineers, and technical leadership to translate mission needs into sound technical approaches.
  • Contribute to technical documentation, design reviews, test events, and customer-facing discussions as needed.
  • Support integration of tracking methods into larger analytic, fusion, and operational software systems.
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.
Job Qualifications
  • Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; five or more years of experience with a bachelor's degree, three or more years of experience with a master's degree, or one or more years with a PhD. May substitute equivalent experience in lieu of education.
  • Strong foundation in probability and statistics, stochastic processes, estimation theory, optimization, and linear algebra.
  • Programming experience in one or more languages such as Python, C++, Java, Matlab, or similar.
  • Experience developing, implementing, or evaluating mathematical algorithms in code.
  • Ability to work independently on technically complex problems and communicate results clearly.
  • Ability to obtain and maintain DoD security clearance is required.
PREFERRED SKILLS AND EXPERIENCE:
  • Experience with multi-object tracking, target tracking, sensor fusion, or related estimation problems.
  • Familiarity with Kalman filtering, nonlinear filtering, Bayesian estimation, probabilistic data association, multiple hypothesis tracking, random finite set methods, or track fusion.
  • Experience working with real-world sensor data and imperfect operational data sets.
  • Experience with algorithm performance analysis, Monte Carlo methods, and statistical evaluation.
  • Familiarity with collaborative software development practices, including testing, version control, and code reviews.

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About General Atomics

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General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955