Research Data Scientist

Posted 3 Days Ago
Ruston, LA, USA
In-Office
Entry level
Aerospace
The Role
Conduct research-oriented data analytics and algorithm development across diverse datasets and scientific domains. Apply machine learning, data mining, statistical methods, and neural network architectures to generate stakeholder insights. Curate and exploit small and large datasets, collaborate with subject-matter experts, document technical progress, prioritize tasks, and present results. Work may span embedded systems, cybersecurity, remote sensing, modeling and simulation, and scientific computation.
Summary Generated by Built In

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

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
  • 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

 

Clearance:

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

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Skills Required

  • Master's degree in Computer Science, Mathematics, Statistics, Physics, or a related field
  • Minimum GPA of 3.5, shown on the resume
  • US citizenship and ability to obtain a security clearance
  • Strong programming background in Python
  • Strong knowledge of statistics
  • Familiarity with Artificial Neural Networks, including CNNs, RNNs, autoencoders, and transformers
  • Experience applying machine learning methodologies, including regression, classification, clustering, decision trees, dimensionality reduction, neural networks, deep learning, and feature engineering
  • Possess or pursue a Ph.D. in Computer Science, Mathematics, Statistics, Physics, or a related field
  • Publications or presentations demonstrating strong research experience
  • Experience in an applied quantitative or scientific domain
  • Experience with PyTorch, Pandas, Seaborn, SciPy, or 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

Radiance Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Radiance Technologies and has not been reviewed or approved by Radiance Technologies.

  • Retirement Support — Retirement contributions are described as generous, combining ESOP ownership with 401(k) profit sharing to build long-term wealth. A defined vesting schedule and recurring contributions reinforce the reliability of this component.
  • Healthcare Strength — Healthcare coverage is characterized as comprehensive, including medical, dental, vision, life insurance, and disability. Wellness features such as on-site fitness and structured programs further bolster perceived health support.
  • Equity Value & Accessibility — Employee ownership via an ESOP is positioned as a meaningful wealth builder, with company stock value growth cited as an upside. Additional vehicles such as cash bonuses and synthetic appreciation rights add to perceived equity value.

Radiance Technologies Insights

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The Company
HQ: Huntsville, AL
905 Employees
Year Founded: 1999

What We Do

Radiance Technologies, Inc. is an employee-owned small business prime contractor. Radiance leads the way in developing government and commercial customer-focused solutions. Leveraging its record of technical innovation and operational expertise, Radiance Technologies offers: • Cyber Solutions • Systems Engineering • Technology Development, Production, Testing, and Evaluation • Technology Application • Intelligence Community Support • Government Program Support The company’s 900+ employees in 15+ U.S. and international offices serve customers in the Department of Defense (DOD), National Aeronautics and Space Administration (NASA), the national intelligence community, the Department of Homeland Security (DHS), other government organizations, and selected commercial customers. Radiance Technologies continues to attract and retain talented motivated employees by being an employee-owned company – founded with the idea of providing an environment, a benefits package, and a stock ownership plan that are second to none. For more information, visit www.radiancetech.com. Radiance Technologies, Inc. – Concepts to Capabilities®

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