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Data Science Physics Jobs in Raleigh, NC (NOW HIRING)

Deloitte

CyberArk Senior Consultant

Raleigh, NC

Bachelor's degree in computer science , Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field. * Ability to travel up to 20% on average ...

US Department of Commerce

Meteorologist

Raleigh, NC

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

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Data Science Physics information

See Raleigh, NC salary details

$23.7K

$89.4K

$193.8K

How much do data science physics jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data science physics in Raleigh, NC is $89,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,079.00 and $132,904.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science Physics position, and why are they important?

To thrive in Data Science Physics, you need strong analytical abilities in both physics and statistics, typically supported by an advanced degree in physics, data science, or a related field. Familiarity with tools such as Python, MATLAB, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience using simulation or data visualization software are essential. Excellent problem-solving, collaboration, and communication skills help you work effectively with multidisciplinary teams and explain complex findings to non-experts. These competencies enable efficient analysis and interpretation of large scientific datasets, driving innovation and informed decision-making in research and industry settings.

What does a typical day look like for someone working in Data Science Physics?

A typical day in Data Science Physics often involves collecting, cleaning, and analyzing large datasets derived from experimental or simulated physics research. You may spend time developing and testing predictive models, interpreting results, and visualizing data to communicate findings to colleagues and stakeholders. Collaboration is common, with regular meetings alongside scientists, engineers, and data professionals to discuss project goals or troubleshoot challenges. Additionally, you may contribute to research publications or help develop new methodologies for data analysis, making each day varied and intellectually stimulating.

What is a Data Science Physics job?

A Data Science Physics job combines physics principles with data science techniques to analyze complex datasets, build predictive models, and extract insights. Professionals in this role apply statistical methods, machine learning, and computational algorithms to solve problems in areas such as material science, astrophysics, and engineering. They often work with big data, simulations, and experimental data to improve decision-making and research outcomes.

What are the most commonly searched types of Data Science Physics jobs in Raleigh, NC? The most popular types of Data Science Physics jobs in Raleigh, NC are:
What are popular job titles related to Data Science Physics jobs in Raleigh, NC? For Data Science Physics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Science Physics jobs in Raleigh, NC look for? The top searched job categories for Data Science Physics jobs in Raleigh, NC are:
Data Science Physics jobs near you
Infographic showing various Data Science Physics job openings in Raleigh, NC as of July 2026, with employment types broken down into 2% Internship, 85% Full Time, 7% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $89,401 per year, or $43 per hour.
Model Risk Analyst

Model Risk Analyst

State Employees' Credit Union

Raleigh, NC • On-site

Full-time

Posted 12 days ago

State Employees' Credit Union (North Carolina) rating

8.2

Company rating: 8.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

If you are motivated and believe in the credit union philosophy of "People Helping People," join our team!
Position Overview:
Assist in the development, implementation, and maintenance of the Model Risk Management (MRM) program within SECU through the development and validation of statistical models, qualitative models, and models developed with other quantitative algorithms.
Essential Responsibilities:
  • (40%) Execute model validation activities across the model life-cycle including model validations, ongoing performance evaluation, and tracking model findings to ensure models across SECU are conceptually sound relative to their intended use and performing appropriately. Execute end-to-end testing plans for validation and review of SECU's statistical and qualitative models with oversight and guidance from supervisor and other senior validation staff.
  • (30%) Validate the performance and controls of statistical models using provided model development documentation and communications with model developers. Document and present findings to management and model owners.
  • (10%) Provide input for enhancements to the model risk management framework, including maintaining model inventory and model risk rankings.
  • (10%) Develop and maintain effective partnerships within SECU, particularly with model owners, model developers and data analysts.
  • (10%) Assist in implementation of, and adherence to, the MRM Policy and associated model risk SOPs across SECU.

Required Education & Experience (Knowledge, Skills, & Abilities):
  • 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 assess model conceptual design, backtesting of model results, assumptions, controls over data flows, model execution, and compliance of model results with intended application by model users.
  • Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to review code written by others for accuracy and efficiency, with minimal guidance from supervisor.
  • Academic and/or professional understanding of advanced mathematical and statistical modeling techniques, including logistic regression, time series analysis, linear regression, Monte Carlo simulation, Artificial Intelligence/Machine Learning (AI/ML) techniques, etc.
  • Demonstrated ability to contribute to multiple projects simultaneously under guidance from supervisor.
  • Strong oral and written communication skills. Experience contributing to detailed technical validation reports and/or model development documentation.
  • Strong attention to detail and the ability to understand and analyze complex modeling and analytical challenges with some guidance from supervisor and senior staff.
  • Perform job functions independently with some day-to-day oversight from supervisor.

Preferred Education & Experience (Knowledge, Skills, & Abilities):
  • Masters in quantitative discipline
  • Experience in financial services or consulting industry
  • Experience developing or validating models used for CECL, Credit Risk, CCAR/Stress Testing, PPNR, ALM, loan pricing and/or mortgage servicing rights, derivatives, Compliance (BSA/AML/OFAC), Liquidity, or Fraud
  • Subject matter expertise in generative large language models (Artificial Intelligence)

Job Environment & Physical Requirements:
  • Hybrid expectations
  • Sitting for prolonged periods
  • Computer for prolonged periods

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.
Disclaimer
State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.

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