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Applied Mathematician Jobs (NOW HIRING)

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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Applied Mathematician information

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$27.5K

$56.7K

$60.5K

How much do applied mathematician jobs pay per year?

As of Aug 29, 2026, the average yearly pay for applied mathematician 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 is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, models, and computational techniques to solve practical problems in fields such as engineering, science, business, and industry. They often collaborate with experts from other disciplines to analyze data, develop algorithms, and create simulations or predictive models. Their work is crucial in areas like data analysis, optimization, risk assessment, and scientific research, helping to make informed decisions and advance technology.

What types of projects do applied mathematicians typically work on within a multidisciplinary team?

Applied mathematicians often collaborate with professionals from engineering, computer science, data analytics, and physical sciences to solve complex real-world problems. Projects can range from developing predictive models for financial markets, optimizing supply chain logistics, to simulating physical systems in engineering or biology. The collaborative nature of the work requires strong communication skills and the ability to translate mathematical concepts for non-specialists. Regular meetings, brainstorming sessions, and iterative problem-solving are common aspects of the work environment.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong analytical skills, a solid background in mathematics or a related field, and typically an advanced degree such as a master's or PhD. Familiarity with programming languages (such as Python, MATLAB, or R), numerical modeling tools, and statistical analysis software is often required. Excellent problem-solving, communication, and collaboration skills help differentiate top performers in this role. These skills and qualifications are crucial for developing practical mathematical solutions to real-world problems and effectively communicating findings to technical and non-technical stakeholders.

What is the difference between Applied Mathematician vs Data Scientist?

AspectApplied MathematicianData Scientist
Required CredentialsDegree in mathematics, applied math, or related fieldDegree in statistics, computer science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, finance, healthcare, consulting
Employer & Industry UsageResearch institutions, government agencies, industry R&DBusiness, tech firms, startups, analytics firms

Applied Mathematicians focus on developing mathematical models and solving complex problems using advanced mathematics, often in research or academic settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making in business environments. While both roles require strong analytical skills, Applied Mathematicians typically work on theoretical and algorithmic development, whereas Data Scientists focus on practical data analysis and visualization.

Is applied mathematician in demand?

Applied mathematicians are in demand across industries such as finance, technology, engineering, and data science, where analytical and problem-solving skills are valued. Employment opportunities are expected to grow as organizations increasingly rely on mathematical modeling, data analysis, and computational tools to make informed decisions.

What jobs can I do with applied mathematics?

Applied mathematicians can work in fields such as data analysis, financial modeling, engineering, operations research, and scientific research. They often use programming languages like Python or MATLAB and may require strong analytical and problem-solving skills. These roles are found in industries including technology, finance, healthcare, and government agencies.
More about Applied Mathematician jobs

What cities are hiring for Applied Mathematician jobs?

Cities with the most Applied Mathematician job openings:

What states have the most Applied Mathematician jobs?

States with the most job openings for Applied Mathematician jobs include:

Infographic showing various Applied Mathematician job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $56,723 per year, or $27.3 per hour.

Applied Mathematician- Multi-Object Tracking

Charlottesville, VA • On-site


General Atomics
Space Research Administration • 10K+ employees

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

Great coworkers

People enjoy working here

Good employer


Full-time

Re-posted 7 days ago


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.

General Atomics logo

About General Atomics

Sourced by ZipRecruiter

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


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