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Applied Math Jobs in North Carolina (NOW HIRING)

EC Assistant

Monroe, NC ยท On-site

Candidates for this position must be highly qualified with either 48 semester hours of college coursework completed or have passed the Workkeys Applied Mathematics, Workplace Documents, and Business ...

Cloud Software Engineer

Raleigh, NC ยท On-site

$58.25 - $75.75/hr

Active DoD Top Secret Clearance with SCI eligibility * BS or higher in Computer science, IT, Engineering, Applied mathematics, or a closely related field * 8+ years relevant work experience with BS * ...

Cloud Software Engineer

Raleigh, NC ยท On-site

$58.25 - $75.75/hr

Active DoD Top Secret Clearance with SCI eligibility * BS or higher in Computer science, IT, Engineering, Applied mathematics, or a closely related field * 8+ years relevant work experience with BS * ...

Cloud Software Engineer

Raleigh, NC ยท On-site

$58.25 - $75.75/hr

Active DoD Top Secret Clearance with SCI eligibility * BS or higher in Computer science, IT, Engineering, Applied mathematics, or a closely related field * 8+ years relevant work experience with BS * ...

Cloud Software Engineer

Raleigh, NC ยท On-site

$58.25 - $75.75/hr

Active DoD Top Secret Clearance with SCI eligibility * BS or higher in Computer science, IT, Engineering, Applied mathematics, or a closely related field * 8+ years relevant work experience with BS * ...

D. in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Computational Linguistics, or a related field strongly preferred. * Deep expertise in machine ...

Showing results 41-60

Applied Math information

See North Carolina salary details

$20.4K

$53.5K

$85.9K

How much do applied math jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied math in North Carolina is $53,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,900.00 and $63,600.00 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 North Carolina? For Applied Math jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in North Carolina look for? The top searched job categories for Applied Math jobs in North Carolina are:
What cities in North Carolina are hiring for Applied Math jobs? Cities in North Carolina with the most Applied Math job openings:
Infographic showing various Applied Math job openings in North Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $53,471 per year, or $25.7 per hour.

Junior Data Scientist with Security Clearance

Altamira Technologies

Fort Liberty, NC โ€ข On-site

Other

Posted 2 days ago

New


Job description

Position: Junior Data Scientist Position Location: Fort Bragg, North Carolina Position Description: A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline.  In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. Data scientists must have a combination of skills that include programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization.  They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques. Experience: * Interpret and analyze data using exploratory mathematicand statistical techniques based on the scientific method.
* Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
* Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
* Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
* Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. * Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
* Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. * Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. * Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. * Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
* Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
Education: * Bachelorโ€™s degree in a STEM field is required.  Masterโ€™s degree is preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. * Bachelorโ€™s degree is acceptable in the above fields if the incumbent has training and verifiable work experience in a related field.
* Proficient with one or more programming languages (Java, C++, Python, R, etc.).
* Proficient in Agile Development and Git Operations.
* Demonstrated experience applying data science methods to real-world data problems.
* TS/SCI clearance is preferred
* Minimum SECRET Clearance to start with the willingness and ability to obtain TS/SCI. Altamira is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.