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Mathematical Modeling Jobs in Raleigh, NC (NOW HIRING)

Exercise mathematical intuition and analysis to select best approaches. * Support field and/or customer questions on existing models. * Occasional technical writing, presentations, brainstorming ...

NonDuke Student/Intern

Durham, NC · On-site

$16.25 - $21/hr

The preferred candidate will havea strong background in medicine and some knowledge of computational and mathematical modeling. REQUIRED QUALIFICATIONS AT THIS LEVEL: Education/Training: N/A ...

NonDuke Student/Intern

Durham, NC · On-site

$16.25 - $21/hr

The preferred candidate will havea strong background in medicine and some knowledge of computational and mathematical modeling. REQUIRED QUALIFICATIONS AT THIS LEVEL: Education/Training: N/A ...

The lab's research focuses on mathematical modeling of disease spread based on real-world population, animal, and vehicle movement data. Current projects address major livestock diseases, including:

Senior Architect, Data Center Modeling

Durham, NC · On-site

$65 - $87/hr

We are seeking visionary computer architects to design and develop models for the next generation ... Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.

Senior Firmware Engineer

Durham, NC · On-site

$115K - $152K/yr

Durham NC Jobs, Senior Firmware Engineer, C/C++, VHDL, Python, Git, SVN, DSP Algorithms, Mathematical Models, FPGA, CPDL, Microprocessors, Healthcare, North Carolina Recruiters, Information ...

Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field) * 3+ years of experience in modeling or analytics * Ability to ...

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Mathematical Modeling information

See Raleigh, NC salary details

$26.7K

$55.1K

$58.8K

How much do mathematical modeling jobs pay per year?

As of Jun 25, 2026, the average yearly pay for mathematical modeling in Raleigh, NC is $55,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $57,800.00 per year, depending on experience, location, and employer.

What do mathematical modelers do?

Mathematical modelers develop and analyze mathematical representations of real-world systems to solve complex problems across various fields such as engineering, finance, and science. They use tools like statistical analysis, computer simulations, and programming languages to create models that predict behavior and inform decision-making.

What careers use mathematical modeling?

Mathematical modeling is used in careers such as data scientist, operations researcher, financial analyst, engineer, and epidemiologist. These roles involve developing models to analyze data, optimize processes, or predict outcomes, often requiring skills in programming, statistics, and domain-specific knowledge.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. These positions typically require strong analytical skills, a background in mathematics or related fields, and security clearance. Mathematicians in the FBI may work on developing algorithms, analyzing complex data, or supporting investigations.

What are the key skills and qualifications needed to thrive as a Mathematical Modeler, and why are they important?

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

How to become a mathematical modeller?

To become a mathematical modeller, you typically need a bachelor's degree in mathematics, applied mathematics, engineering, or a related field, with advanced roles often requiring a master's or Ph.D. in a quantitative discipline. Developing strong skills in programming, data analysis, and modeling tools such as MATLAB, R, or Python is essential, along with experience in applying mathematical techniques to real-world problems through internships or projects.

How to Get a Job in Mathematical Modeling

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are popular job titles related to Mathematical Modeling jobs in Raleigh, NC? For Mathematical Modeling jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Raleigh, NC look for? The top searched job categories for Mathematical Modeling jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Mathematical Modeling jobs? Cities near Raleigh, NC with the most Mathematical Modeling job openings:
Infographic showing various Mathematical Modeling job openings in Raleigh, NC as of June 2026, with employment types broken down into 70% Full Time, 29% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $55,136 per year, or $26.5 per hour.

Full-time

Posted 9 days ago


Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ:ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more atwww.analog.comand onLinkedInandTwitter (X).

LTspice Modeling Engineer - Senior Level Position

Analog Devices, Durham, NC, Wilmington, MA

Analog Devices, Inc:

Analog Devices (NASDAQ: ADI) is a world leader in the design, manufacture, and marketing of a broad portfolio of high-performance analog, mixed-signal, and digital signal processing (DSP) integrated circuits (ICs) used in virtually all types of electronic equipment, dedicated to solving the toughest engineering challenges. We enable our customers to interpret the world around us by intelligently bridging the physical and digital with unmatched technologies that sense, measure, power, connect, and interpret.

Position Overview:

As ADI expands into new product and market segments, the Multi-Market Power Group (MMP) is looking for a Senior LTspice Modeling Engineer who will be responsible for:

  • Creating LTspice simulation models.
  • Maintaining and debugging existing models, working closely with the Modeling Team.
  • Special projects involving technology improvements to our tools and techniques to maintain our competitive advantage.
  • Interfacing with IC Designers, Application Engineers, Marketing and Sales, and Management.
  • Maintain good and professional communications dialog with both internal and external customers.

In this position, you will:

  • Develop behavioral circuits to model switching converters, and other ADI products as well.
  • Use existing model base to learn modeling techniques and grow in skill and knowledge.
  • Help mentor the junior engineers in our team.
  • Take the lead in developing technology platforms to accelerate model development and verification.
  • Exercise mathematical intuition and analysis to select best approaches.
  • Support field and/or customer questions on existing models.
  • Occasional technical writing, presentations, brainstorming sessions, and trainings.

What you need to be successful in this role:

  • BSEE or MSEE with 5+ year experience and either deep experienced in switching power converters or analog IC design. With a passion to do modeling.
  • Strong background in analog and digital circuits, with circuit analysis techniques.
  • Strong analytic skills along with power electronics and control theory.
  • IC applications experience a plus, modern laboratory equipment use a plus.
  • Some level and knowledge of programming useful, MatLab/Simulink, Python, and C/C++.
  • Good technical writing and presentation skills.
  • Must possess good communication skills and have ability to work as a part of a multidisciplinary team.
  • Ability to work independently and it is important to be a self-starter.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/Days