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Mathematical Optimization Remote Jobs in Raleigh, NC

Data Scientist

Raleigh, NC ยท On-site +1

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential.

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential.

Mathematical Optimization Remote information

See Raleigh, NC salary details

$81.2K

$123.5K

$166.2K

How much do mathematical optimization remote jobs pay per year?

As of Sep 11, 2026, the average yearly pay for mathematical optimization remote in Raleigh, NC is $123,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What is a mathematical optimization remote job?

A Mathematical Optimization Remote job involves using mathematical techniques and algorithms to solve optimization problems, such as maximizing efficiency or minimizing costs, while working from a remote location. Professionals in this field apply optimization theory, modeling, and computational methods to real-world problems in industries like logistics, finance, engineering, and data science. Remote roles allow for flexibility, enabling collaboration with teams and clients online while leveraging specialized software and programming languages such as Python, MATLAB, or R.

What are the key skills and qualifications needed to thrive as a mathematical optimization specialist working remotely?

To thrive as a Mathematical Optimization Specialist in a remote setting, you need a strong background in mathematics, operations research, or computer science, often supported by an advanced degree. Proficiency with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python or R, and familiarity with cloud-based collaboration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills help you stand out when collaborating with distributed teams and stakeholders. These skills and qualities are crucial for efficiently developing, implementing, and explaining optimization solutions in a remote work environment.

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

Remote mathematical optimization professionals often encounter challenges such as limited real-time collaboration with team members, managing complex problem-solving tasks independently, and ensuring effective communication of technical findings to non-technical stakeholders. To address these challenges, it's helpful to establish regular virtual meetings, use collaborative tools for sharing code and results, and develop clear documentation. Additionally, proactively seeking feedback and staying engaged with the broader team can help maintain alignment and foster innovation.

What is the difference between Mathematical Optimization Remote vs Data Analyst Remote?

AspectMathematical Optimization RemoteData Analyst Remote
Required CredentialsDegree in Mathematics, Operations Research, or related field; proficiency in optimization softwareDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with teams on complex modeling projectsRemote, focused on data collection, visualization, and reporting
Industry UsageFinance, logistics, supply chain, tech companiesMarketing, finance, healthcare, tech companies
Common Search/ComparisonYesNo

Mathematical Optimization Remote specialists focus on developing algorithms to optimize processes and decision-making, often requiring advanced mathematical skills. Data Analysts Remote interpret data to provide insights, using statistical tools. While both roles are remote and involve data, they differ in technical focus and industry applications.

What are popular job titles related to Mathematical Optimization Remote jobs in Raleigh, NC?

For Mathematical Optimization Remote jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Mathematical Optimization Remote jobs in Raleigh, NC look for?

The top searched job categories for Mathematical Optimization Remote jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Mathematical Optimization Remote jobs?

Cities near Raleigh, NC with the most Mathematical Optimization Remote job openings:

Research Scientist - Theoretical Physics

Raleigh, NC โ€ข On-site, Remote

Hitachi
IT Servicesย โ€ขย 10K+ employees

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


Key responsibilities

  • Develop and advance numerical simulation approaches for power system applications.

  • Collaborate with researchers, engineers, and external partners to create software applications, models, and algorithms related to power systems.

  • Propose, develop, and verify prototypes and simulation methods, and support the execution of research projects.


Job description

Location:

Raleigh, North Carolina, United States

Job ID:

R0136799

Date Posted:

2026-07-10

Company Name:

HITACHI ENERGY USA INC

Profession (Job Category):

Engineering & Science

Job Schedule:

Full time

Remote:

No

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.


Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017