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Applied Mathematics Phd Jobs in Raleigh, NC (NOW HIRING)

Master's or PhD in Statistics, Applied Mathematics, Physics, Engineering, or a related quantitative field.Experience in the electric or gas utility industry. * Familiarity with AMI, SCADA, GIS, or ...

Master's or PhD in Statistics, Applied Mathematics, Physics, Engineering, or a related quantitative field.Experience in the electric or gas utility industry. * Familiarity with AMI, SCADA, GIS, or ...

Master's or PhD in Statistics, Applied Mathematics, Physics, Engineering, or a related quantitative field.Experience in the electric or gas utility industry. * Familiarity with AMI, SCADA, GIS, or ...

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

... PhD in engineering, computer science, physics, operations research, applied mathematics, or a closely related field. • 8+ years relevant work experience with BS • 6+ years relevant work ...

Biomedical Modeler

Carrboro, NC · On-site

$110K - $150K/yr

Master's degree + 2 years of experience or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field. * Experience ...

Biomedical Modeler

Carrboro, NC · On-site

$110K - $150K/yr

Master's degree + 2 years of experience or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field. * Experience ...

Master's degree + 2 years of experience or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field. * Experience ...

Senior Systems Engineer

Raleigh, NC

$92K - $126K/yr

... PhD in engineering, computer science, physics, operations research, applied mathematics, or a closely related field * 10+ years relevant work experience with BS * 8+ years relevant work experience ...

A PhD degree is required. Preferred Qualifications: * Experience with mathematical, computational ... Have recently completed (or are near completion of) a doctoral degree in Applied Mathematics ...

... PhD in engineering, computer science, operations research, applied mathematics, or a closely related field * 5+ years relevant work experience with BS * 3+ years relevant work experience with MS

... PhD in engineering, computer science, operations research, applied mathematics, or a closely related field * 5+ years relevant work experience with BS * 3+ years relevant work experience with MS

A PhD degree is required. Preferred Qualifications: * Experience with mathematical, computational ... Have recently completed (or are near completion of) a doctoral degree in Applied Mathematics ...

Senior Software Engineer

Raleigh, NC · On-site

$108K - $142K/yr

... PhD in engineering, computer science, physics, operations research, applied mathematics, or a closely related field. * 8+ years relevant work experience with BS * 6+ years relevant work experience ...

Senior Software Engineer

Raleigh, NC · On-site

$108K - $142K/yr

... PhD in engineering, computer science, physics, operations research, applied mathematics, or a closely related field. * 8+ years relevant work experience with BS * 6+ years relevant work experience ...

Senior Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

... PhD in engineering, computer science, physics, operations research, applied mathematics, or a closely related field * 10+ years relevant work experience with BS * 8+ years relevant work experience ...

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Applied Mathematics Phd information

See Raleigh, NC salary details

$21.9K

$57.2K

$91.9K

How much do applied mathematics phd jobs pay per year?

As of Jul 27, 2026, the average yearly pay for applied mathematics phd in Raleigh, NC is $57,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $68,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Mathematics PhD, and why are they important?

To thrive as an Applied Mathematics PhD, you need advanced mathematical modeling, analytical thinking, and quantitative problem-solving skills, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and experience with computational tools is often required. Strong communication, collaboration abilities, and adaptability are essential soft skills for conveying complex concepts and working in multidisciplinary teams. These skills are crucial for developing innovative solutions to real-world problems and effectively contributing to academic, industrial, or research environments.

What types of projects or research areas do Applied Mathematics PhD holders typically work on within industry settings?

Applied Mathematics PhD holders often work on projects involving data analysis, mathematical modeling, algorithm development, and optimization in industries such as finance, technology, healthcare, and engineering. They may collaborate with interdisciplinary teams to solve complex real-world problems, such as developing predictive models, optimizing processes, or designing simulations. These roles often require strong communication skills to translate mathematical concepts into practical solutions for stakeholders. The work environment is typically collaborative, with opportunities to lead projects or move into specialized or managerial positions over time.

What jobs do math PhDs get?

Math PhDs often pursue careers in academia as university professors or researchers, as well as in industry roles such as data scientists, quantitative analysts, operations researchers, and software developers. They utilize advanced analytical, statistical, and computational skills, often working with programming languages like Python or R and employing mathematical modeling and data analysis tools.

Does the FBI hire mathematicians?

Yes, the FBI employs mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. Candidates typically need a strong background in applied mathematics, programming skills, and security clearances. These positions may require a Ph.D. in applied mathematics or a related field and adherence to strict background checks and training protocols.

What is the difference between Applied Mathematics Phd vs Data Scientist?

AspectApplied Mathematics PhdData Scientist
Required CredentialsPhD in Applied Mathematics or related fieldBachelor's or Master's in Computer Science, Statistics, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageModel development, algorithm design, researchData analysis, predictive modeling, business insights
Common Search/ComparisonApplied Mathematics Phd vs Data Scientist

While both roles involve data analysis and modeling, Applied Mathematics Phds focus more on theoretical research and developing new algorithms, often in research or academic settings. Data Scientists typically apply existing models to solve business problems in industry. The roles overlap in quantitative skills but differ in focus and work environment.

What can I do with a PhD in applied math?

A PhD in applied mathematics prepares individuals for careers in research, data analysis, quantitative modeling, and algorithm development across industries such as finance, technology, engineering, and academia. Graduates often work as data scientists, quantitative analysts, operations researchers, or in roles requiring advanced problem-solving and programming skills using tools like MATLAB, Python, or R.

What are Applied Mathematics PhDs?

Applied Mathematics PhDs are advanced academic degrees focused on the development and application of mathematical methods to solve real-world problems in science, engineering, business, and other fields. Students in these programs engage in research that often bridges theoretical mathematics and practical applications, such as modeling physical phenomena, analyzing data, or optimizing systems. Graduates are equipped to work in academia, industry, government, or research institutions, contributing mathematical expertise to a wide range of disciplines.

Does NASA hire pure mathematicians?

NASA employs applied mathematicians and scientists who use advanced mathematical techniques for research, modeling, and problem-solving in space exploration and aeronautics. While pure mathematicians are less common, individuals with strong mathematical backgrounds and skills in computational tools and programming can contribute to NASA projects in roles related to data analysis, simulation, and algorithm development.
What are popular job titles related to Applied Mathematics Phd jobs in Raleigh, NC? For Applied Mathematics Phd jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Applied Mathematics Phd jobs? Cities near Raleigh, NC with the most Applied Mathematics Phd job openings:
Infographic showing various Applied Mathematics Phd job openings in Raleigh, NC as of July 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $57,191 per year, or $27.5 per hour.
Advanced Data Scientist

Advanced Data Scientist

Honeywell

Raleigh, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

68th of 535 rated manufacturers


Job description


We are seeking an Advanced Data Scientist with strong expertise in statistics, mathematical modeling, and applied machine learning to join our SME Analytics engineering team. This role focuses on identifying and developing data-driven solutions to business problems across our connected utilities platform, such as predictive grid reliability, operational intelligence, and scalable solutions to complex utility problems. The ideal candidate brings a quantitative research background (physics, engineering, statistics, math, or similar) combined with production engineering skills and is comfortable bridging rigorous statistical methodology with novel scalable ML/statistical systems.
You will report directly to our Fellow, and you'll work out of our Raleigh, NC location on a Hybrid, work schedule.
Responsibilities
Key Responsibilities
  • Design and implement statistical and machine learning models for time-series forecasting, anomaly detection, and asset health scoring across utility networks.
  • Build and maintain end-to-end ML pipelines on Databricks from feature engineering and model training to validation, deployment, and monitoring in production.
  • Apply classical statistical methods (GLMs, GAMs, mixed-effects models, Bayesian inference) alongside modern ML techniques (ensemble approaches, network analysis, neural networks) to solve grid operations problems.
  • Develop predictive maintenance and degradation models for utility infrastructure using telemetry and SCADA data at scale.
  • Translate ambiguous business problems into well-defined modeling problems with appropriate statistical frameworks - e.g., knowing when a LM/GLM is sufficient and when gradient boosting or deep learning is warranted.
  • Implement model monitoring, drift detection, and automated retraining workflows to maintain model performance over time.
  • Contribute to load forecasting, demand response optimization, and outage prediction systems.
  • Ensure model interpretability and explainability for utility stakeholders and regulatory compliance.
  • Contribute to internal knowledge-sharing on statistical best practices.

Qualifications
YOU MUST HAVE
  • Bachelor's degree or equivalent in Statistics, Applied Mathematics, Physics, Engineering, Data Science, or a related quantitative field.
  • 3+ years of experience (with Bachelor's), 2+ years of experience (with Masters), or 1+ years (with PhD) in applied statistical modeling and machine learning, with a track record of deployed production models.
  • Strong programming skills in Python (PySpark, pandas, NumPy, scikit-learn, statsmodels, XGBoost), R (tidyverse, lme4, glmmTMB, glmnet, mgcv), and SQL for large-scale data analysis.
  • Experience with time-series modeling (ARIMA, state-space models, LSTM, Darts, or similar) on high-volume meter data.
  • Exposure to Databricks ML ecosystem (Feature Store, Experiment Track, Model Serving, Mosaic AI) and MLflow.
  • Familiarity with distributed computing concepts - PySpark, Optuna/Ray, Spark SQL, partitioning strategies, and medallion architecture.
  • Understanding of software engineering principles - version control (Git), testing, CI/CD for ML systems.
  • Ability to communicate complex statistical/ML concepts to non-technical stakeholders.

WE VALUE
  • Master's or PhD in Statistics, Applied Mathematics, Physics, Engineering, or a related quantitative field.Experience in the electric or gas utility industry.
  • Familiarity with AMI, SCADA, GIS, or OMS data.
  • Familiarity with deep learning (PyTorch) and geospatial analysis (GeoPandas, network/graph-based modeling).
  • Familiarity with generative AI and LLM-based solutions as complementary tools.
  • Familiarity with the invention disclosure and patent process; ability to write concise technical descriptions of novel methods and systems for intellectual property filings.

BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posted: July 23, 2026
About Honeywell Technologies
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.
THE BUSINESS UNIT
Honeywell's Intelligent Automation (IA) Strategic Business Group focuses on delivering innovative automation, control, and software solutions that enhance operational efficiency and safety for customers worldwide. IA integrates advanced technologies and domain expertise to provide scalable and sustainable solutions across diverse industries, driving digital transformation and operational excellence.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906