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Applied Math Jobs in Maryland (NOW HIRING)

$85K/yr

A Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field. * 3+ years of experience developing signal ...

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Applied Math information

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$21.8K

$57.1K

$91.7K

How much do applied math jobs pay per year?

As of Sep 7, 2026, the average yearly pay for applied math in Maryland is $57,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $67,900.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

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 mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What are popular job titles related to Applied Math jobs in Maryland?

For Applied Math jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in Maryland look for?

The top searched job categories for Applied Math jobs in Maryland are:

What cities in Maryland are hiring for Applied Math jobs?

Cities in Maryland with the most Applied Math job openings:

Infographic showing various Applied Math job openings in Maryland as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $57,104 per year, or $27.5 per hour.

Weapon System Analyst with Security Clearance

Johns Hopkins University Applied Physics Laboratory

Laurel, MD โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Description Do you have a passion for physics, math, and data analysis? Do you enjoy taking a complex physical problem and trying to represent it through mathematics and code? Are you looking for a role where you can be mentored by world-class experts and grow into a specialist in physics-based modeling and statistical inference? Are you interested in defining methodologies and processes that will be used for the testing and evaluation of current and future weapon systems? If so, we're looking for someone like you to join our team at APL! The System Modeling, Evaluation, and Planning Group is seeking experienced analysts to support the technical evaluation of the nation's primary strategic deterrents. You will join a multidisciplinary team of engineers, physicists, and mathematicians. As a Weapon System Analyst you will... * Develop and Refine Physics Models by creating and improve high-fidelity physics-based models of complex systems, including inertial navigation (accelerometers, gyroscopes) and missile/reentry dynamics.
* Lead the experimental design process for flight and ground tests to ensure data collection is optimized for model validation and parameter estimation.
* Perform Statistical Validation by leveraging real-world collected data to estimate underlying physics-based errors, using statistical methods to determine how well models predict actual system behavior.
* Apply advanced statistical techniques to "work backward" from observed data to identify the physical properties or errors that caused the observed effect.
* Build Computational Frameworks by developing robust tools in C++ , MATLAB, or Python to facilitate analyses for important reports and deliverables.
* Assess the accuracy of current strategic weapon systems and support the engineering of future systems to meet mission needs. Qualifications You meet our minimum requirements if you... * Hold a Bachelor's degree in Physics, Applied Math, Applied Statistics, Engineering, or a closely related field.
* Have one or more years of professional experience in data analysis or physics-based modeling
* Have strong foundational skills in a scientific language (C++, MATLAB, or Python).
* A solid grasp of linear algebra, calculus, and basic probability/statistics.
* A strong desire to learn complex physical systems and a willingness to dive deep into technical documentation
* Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll exceed our minimum requirements with experience in any of the following... * Statistical analysis, parameter estimation and inverse problems, Kalman filtering, experimental design, Bayesian inference (e.g., MCMC), or Maximum Likelihood Estimation
* Have experience working in large collaborative environments that require teams of engineers, physicists, statisticians, and applied mathematicians
* Prior experience with tactical or strategic missile systems, or prior experience with inertial navigation systems
* Hold an active Secret or higher-level clearance About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact . The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $100,000 Annually Maximum Rate $245,000 Annually