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Applied Math Jobs in Maryland (NOW HIRING)

AMERICAN SYSTEMS

Systems Engineer II (LabVIEW)

Bethesda, MD

$100K - $135K/yr

  • Medical

  • Retirement

  • PTO

B.S. degree in Engineering, Science, Computer Science, Applied Math, or closely related field. * Minimum of 3 years of demonstrated experience developing LabVIEW software. AMERICAN SYSTEMS is ...

AMERICAN SYSTEMS

Systems Engineer II (LabVIEW)

Bethesda, MD · On-site

$100K - $135K/yr

  • Medical

  • Retirement

  • PTO

S. degree in Engineering, Science, Computer Science, Applied Math, or closely related field. * Minimum of 3 years of demonstrated experience developing LabVIEW software. Pay Transparency Statement ...

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All JobsApplied Math JobsApplied Math Jobs in Maryland

Applied Math information

See Maryland salary details

$21.8K

$57.1K

$91.7K

How much do applied math jobs pay per year?

As of Aug 18, 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:

Applied Math jobs near you
Infographic showing various Applied Math job openings in Maryland as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $57,104 per year, or $27.5 per hour.

Cryptanalytic Computer Scientist

Synergy ECP LLC

Columbia, MD • On-site

Full-time

Re-posted 6 days ago

Job description

Description

Founded in 2007 and headquartered in Columbia, Maryland, Synergy ECP is a leading provider of cybersecurity, software and systems engineering and IT services to the U.S. intelligence and defense communities. The company leverages its expertise in data transport solutions, software and systems engineering, and other solutions to deliver critical and innovative capabilities to high-level decision makers that enhance our nation's security.


In an ultra-competitive environment, Synergy ECP has thrived by adhering to our name, making sure excellence is displayed by our Employees, to our Customers and by Improving Performance (ECP).


It's what sets us apart, enabling us to be an autonomous yet agile business that delivers huge results - showing we're ready to meet our customers' evolving demands.


Synergy ECP has earned a client list that includes numerous Fortune 100 companies, in addition to multiple branches of the US government and military services.


Synergy ECP is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected class.

Requirements

  • A Bachelor's degree and 5 years of relevant experience or a Master's degree plus 3 years of relevant experience or a Doctoral degree and 2 years of relevant experience. An Associate's degree plus 7 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math); or a related field (i.e., other Engineering or Math) with at least one programming and at least four upper-level math classes (Calculus and above).
  • Relevant experience must be in a computer science area (i.e., theoretical or applied), designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) to study issues and solve problems, engineering (electrical or computer), and/or high performance computing.

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