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

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

... 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 ...

ARA

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 ...

Kitware

Biomedical Modeler

Carrboro, NC · On-site

$110K - $150K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

Duke University

Postdoctoral Associate

Durham, NC

  • Medical

  • Retirement

  • PTO

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 ...

Berriehill Research

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 ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

  • Medical

  • Retirement

  • PTO

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 ...

ARA

Systems Engineer

Raleigh, NC · On-site

... 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

Berriehill Research

Systems Engineer

Raleigh, NC · On-site

... 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

Ara

Senior Software Engineer

Raleigh, NC · On-site

$90 - $120/hr

... 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 ...

ARA

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 ...

Labcorp

Sr Curation Scientist

Durham, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational ... PhD with 2 or more years experience. Additional Job Standards * Familiarity with clinical data ...

Berriehill Research

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 ...

ARA

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 ...

Labcorp

Sr Curation Scientist

Durham, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational ... PhD with 2 or more years experience. Additional Job Standards * Familiarity with clinical data ...

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Showing results 1-20

All JobsApplied Mathematics Phd JobsApplied Mathematics Phd Jobs in Raleigh, NC

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 Aug 13, 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 highest paying jobs in applied mathematics?

Applied mathematics PhDs often pursue high-paying roles such as quantitative analysts, data scientists, operations research analysts, and financial engineers, with salaries frequently exceeding $100,000 annually. These positions typically require strong analytical skills, programming knowledge, and experience with statistical tools and modeling software.

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 PhDs 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 can I do with a PhD in applied mathematics?

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

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.

Are applied mathematics PhDs in demand?

Applied mathematics PhDs are in demand across industries such as finance, data science, engineering, and technology, where advanced analytical and problem-solving skills are valued. These roles often require strong programming, statistical, and modeling expertise, with employment prospects influenced by industry growth and research funding.

How much does an applied mathematics PhD make?

An applied mathematics PhD can expect to earn a median salary ranging from $80,000 to $120,000 annually, depending on the industry, location, and experience level. Positions often involve research, data analysis, or modeling roles in sectors such as finance, technology, or government agencies.

What is an applied mathematics PhD?

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.
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 job categories do people searching Applied Mathematics Phd jobs in Raleigh, NC look for? The top searched job categories for Applied Mathematics Phd jobs in Raleigh, NC 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:
Applied Mathematics Phd jobs near you
Infographic showing various Applied Mathematics Phd job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $57,191 per year, or $27.5 per hour.

Data Scientist

Jobtailor

Raleigh, NC • On-site

$110 - $170/hr

Other

Posted 7 days ago

Job description

  • 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.
Requirements
  • 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.
Core Competencies

Demonstrates expertise in statistical modeling and machine learning for time-series forecasting and anomaly detection, with a strong focus on building and maintaining ML pipelines and ensuring model performance and interpretability. Proficient in translating business problems into statistical frameworks and communicating complex concepts to stakeholders.

Highest-signal resume keywords
  • Statistical Modeling
  • Machine Learning
  • Python Programming
  • Time-Series Modeling
  • Databricks ML Ecosystem
ATS Optimization KeywordsHard Skills
  • Statistical Methods
  • Machine Learning Techniques
  • Feature Engineering
  • Model Training
  • Model Validation
  • Model Deployment
  • Model Monitoring
  • Anomaly Detection
  • Predictive Maintenance
  • Data Analysis
Soft Skills
  • Communication
  • Problem-Solving
Industry Keywords
  • Utility Networks
  • Telemetry Data
  • SCADA Data
  • Regulatory Compliance
  • Grid Operations
Tools & Technologies
  • Databricks
  • PySpark
  • SQL
  • MLflow
  • Git
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