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Radiance Technologies

Research Data Scientist

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Recruitment began on October 9, 2026
and the job listing Expires on November 9, 2026
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Type: Full Time

Location: Ruston, LA

Position Description:

Radiance Technologies is searching for a talented Research Data Scientist to join the Advanced Cyber Technology Operation in its Scientific and Technical Intelligence Group. This individual will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and will apply machine learning, data mining, and statistical algorithms to provide insights and advance the needs of various stakeholders. This position will particularly focus on analysis, curation, and exploitation of small and large data sets in collaboration with subject-matter experts. Application, research, and development of the state of the art under strict project timelines requires a research-oriented individual capable of independent ideation and effective task prioritization. Flexibility and willingness to transition between applications is critical as our mission calls for a wide variety of domains including embedded systems, hardware and software security, remote sensing, modeling and simulation, and scientific computation (biology, thermodynamics, electromagnetics, etc.). Responsibilities will include documentation of technical progress, effective communication within a team, and presentation of results and progress.

Required Skills:

  • Master’s Degree in Computer Science, Mathematics, Statistics, Physics, or related area
  • Minimum GPA of 3.5 (GPA must be shown on resume to be considered)
  • US citizenship with the ability to obtain a security clearance
  • Strong programming background in Python
  • Strong knowledge of statistics
  • Familiarity with Artificial Neural Networks (ANNs) including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers
  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering
  • Experience with PyTorch, Pandas, Seaborn, SciPy, or respective similar libraries
  • Experience with Git and modern DevSecOps practices
  • Experience with modern MLOps frameworks such as ClearML
  • Strong programming background in C++
  • Experience with numerical and computational methods
  • Knowledge of differential equations
  • Knowledge of algorithm analysis and computing theory
  • Knowledge of graph theory

Desired Qualifications:

  • Possesses or pursuing Ph.D. in Computer Science, Mathematics, Statistics, Physics, or related area
  • Publications/presentations demonstrating strong research experience
  • Experience in an applied quantitative, scientific domain

Clearance:

Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.

EOE/Vet/Disabled

www.radiancetech.com

Apply Now

Labor Market InsightsIn partnership withLightcast logo

Explore occupations by career categories and pathways and use real time labor market data to power your decision making.

Find career data by selecting keywords Keyword Search
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  • 01 Occupation Description
  • 02 Employment Trends
  • 03 Top Employers
  • 04 Education Levels
  • 05 Annual Earnings
  • 06 Technical Skills
  • 07 Core Competencies
  • 08 Job Titles

Occupation Description

Employment Trends

The number of jobs in the career for the past two years, the current year, and projections for the next 10 years. Job counts include both employed and self-employed persons, and do not distinguish between full- and part-time jobs. Sources include Emsi industry data, staffing patterns, and OES data.

Top Employers

These companies are currently hiring for .

    Education Levels

    The educational attainment percentage breakdown for a career (e.g. the percentage of people in the career who hold Bachelor’s Degrees vs. Associate Degrees). Educational attainment levels are provided by O*NET.

    Annual Earnings

    Earnings figures are based on OES data from the BLS and include base rate, cost of living allowances, guaranteed pay, hazardous-duty pay, incentive pay (including commissions and bonuses), on-call pay, and tips.

    Technical Skills

    A list of hard skills associated with a given career ordered by the number of unique job postings which ask for those skills.

      Core Competencies

      The skills for the career. The "importance" is how relevant the ability is to the occupation: scale of 1-5. The "level" is the proficiency required by the occupation: scale of 0-100. Results are sorted by importance first, then level.

        Job Titles

        A list of job titles for all unique postings in a given career, sorted by frequency.

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          Mary Martin Hall, 3rd Floor

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          Foy Hall, 136
          Auburn, AL 38649

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