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Applied Math Jobs in Denver, CO (NOW HIRING)

Citizenship required • Bachelor's or Master's degree in Computer Science, Applied Mathematics, Operations Research, Engineering, or a related field Preferred : • Experience with operations ...

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Applied Math information

See Denver, CO salary details

$23.2K

$60.6K

$97.3K

How much do applied math jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied math in Denver, CO is $60,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $72,000.00 per year, depending on experience, location, and employer.

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.

What jobs can you get with applied math?

Applied math graduates can pursue careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical and mathematical modeling. Many positions are found in finance, technology, healthcare, and government sectors.

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.

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 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.

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 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 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 popular job titles related to Applied Math jobs in Denver, CO? For Applied Math jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Denver, CO look for? The top searched job categories for Applied Math jobs in Denver, CO are:
Infographic showing various Applied Math job openings in Denver, CO as of August 2026, with employment types broken down into 71% Full Time, 24% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $60,560 per year, or $29.1 per hour.

DSP Communications Engineer with Security Clearance

Wallach Search Group

Denver, CO • On-site

$131K - $153K/yr

Other

Posted 21 days ago


Job description

Location: Denver, CO Security Clearance: TS/SSBI/SCI We are seeking self-starters who love the desert and want to work in a multi-disciplinary R&D environment with similarly motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom digital signal processing solutions and communications systems in support of national security defense. Under general supervision, this individual will work on small project teams to conceive, analyze, design, implement, test, deploy, and maintain software-based solutions for modern communications systems. Implementation includes algorithm development, hardware control, GUI design, and database development. The right candidate will be expected to demonstrate disciplined work habits leading to products that are well-structured, documented, and carefully tested. This position will allow for direct interaction with end users and customers. Required: • Bachelor’s degree in Electrical Engineering, Applied Math, or other equivalent field of discipline • Demonstrated capability in scientific programming with C, C++, or similar high-level language on Unix/Linux • Strong background in DSP or in communications theory Desired: • Master’s or PhD in Electrical Engineering, Applied Math, or other equivalent field of discipline • 5+ years of experience in practical system development and deployment • X-Midas or MATLAB experience Applicable Background (experience in any of the following): * LIDAR theory, applications, or simulation experience * Satellite communications * Cellular communications systems * Modern wireless protocols * Radio Frequency (RF) system design * Electronic Warfare * Modern modulation schemes * Algorithm development * Signal geolocation * Signal conditioning * Interference canceling * Coding theory and techniques Where is the position located? This position is located at our Denver, CO office, as well as our Tucson, AZ, Melbourne, FL and Chantilly, VA offices.