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Mathematical Modeling Jobs in Raleigh, NC (NOW HIRING)

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

College Economics Tutor

Durham, NC · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

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

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

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:

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.

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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 Jul 16, 2026, the average yearly pay for mathematical modeling in Raleigh, NC is $55,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $57,800.00 per year, depending on experience, location, and employer.

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 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 the most commonly searched types of Mathematical Modeling jobs in Raleigh, NC? The most popular types of Mathematical Modeling jobs in Raleigh, NC are:
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:
Research Scientist - Theoretical Physics

Research Scientist - Theoretical Physics

Hitachi Careers

Raleigh, NC • On-site

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Hitachi rating

7.2

Company rating: 7.2 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

279th of 430 rated machine equipment manufacturers


Job description

Job Description:

Research Scientist - Theoretical Physics
The Opportunity
As a Research Scientist focused on theoretical physics applications for power system simulation, you will develop and advance numerical simulation approaches that support future power system technologies. The role involves collaborating with researchers, engineers, business units, universities, national laboratories, startups, and vendors to create software applications, mathematical and physical models, and simulation algorithms that address challenges associated with the energy transition and the future grid. You will propose research projects, develop and validate prototypes, explore optimization-based methods, and implement simulation techniques for large-scale systems. The work includes sharing results through publications, patent applications, and technical reports while supporting the execution of research projects across a global organization. By improving simulation capabilities and advancing modeling approaches for power systems, this role contributes to power grid reliability and continued innovation in energy technologies. This opportunity will be based at our research center in Raleigh, North Carolina.
How You'll Make an Impact
  • Collaborate with global researchers and engineers to develop software applications for power systems.
  • Propose and develop new approaches for creating, running, and using numerical simulations with business impact.
  • Build prototypes and verify new simulation concepts and methods.
  • Develop approaches that combine mathematical and physical power system models with mathematical optimization technologies.
  • Implement novel simulation algorithms and work across multiple simulation software tools.
  • Support business units and contribute to the successful execution of research projects.
  • Share knowledge across the organization and collaborate with external research and industry partners.
  • Publish results through scientific publications, patent applications, and technical reports.
  • Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Your Background
  • Candidate must already have work authorization that would permit them to work for Hitachi Energy in the United States.
  • Ph.D. degree in Theoretical Physics, Mathematics, Engineering or any related field. Highly qualified candidates with a master's degree may also be considered.
  • Interest in and willingness to learn about power systems engineering, energy transition and operations research.
  • Experience in designing, developing, and executing numerical simulation algorithms for large-scale systems.
  • Willingness to take an interdisciplinary approach, working with experts from domains different from their own area of expertise.
  • Experience in the following topics is highly valued: Numerical Methods for Ordinary and Partial Differential Equations, Convex and Nonconvex Optimization, Fourier Analysis.
  • Experience with mathematical modeling languages for optimization problems.
  • Experience using automatic differentiation.
  • Experience using algorithmic performance optimization for running large scale mathematical solvers.
  • Strong programming experience (e.g. C, C++, CUDA, Python, Fortran)
  • Solid theoretical background with publications in renowned journals and conferences.
  • Excellent innovation capability and competence in application-oriented research.
  • Self-motivated, high curiosity and ability to learn new technologies.
  • Attention to detail and the ability to work independently and as part of a team.
  • Excellent written and verbal communication and presentation skills in English.
More About Us
You will gain exposure to multidisciplinary research, collaboration across global teams, and opportunities to expand your technical knowledge.
  • Work on innovative energy technologies related to power systems, simulation methods, and the energy transition.
  • Collaborate with experienced professionals across research teams, engineering groups, and business units.
  • Access learning and development opportunities through research projects, knowledge sharing, and external collaborations.
  • Receive health and retirement benefits.
  • Benefit from paid leave and workplace flexibility.

Equal Employment Opportunity (EEO)-Females/Minorities/Protected Veterans/Individuals with Disabilities


Equal Employment Opportunity

Hitachi is an Equal Employment Opportunity (EEO) employer. We welcome applications from all qualified individuals, including females, minorities, protected veterans, and individuals

with disabilities.


Accessibility and reasonable accommodation

Protected veterans and qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This accommodation channel is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.


Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.


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About Hitachi

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Technology is driving today’s fast paced World and we create New Innovations that transform industries and society for the better. But without the brightest, most creative people people like you our achievements would not be possible. Join us and together let's start powering good to make the world a better place.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Chiyoda-ku, TYO, JP