Research Data Scientist

Radiance Technologies is seeking a Research Data Scientist to support the Advanced Cyber Technology Operation at an onsite location in Ruston, LA. In this role, you will integrate and analyze diverse data sources using machine learning, data mining, and statistics, helping advance insight generation across small and large datasets while working to clear project timelines.

What you’ll focus on

• Support integration and analysis of diverse data sources through data analytics expertise and algorithm development
• Apply machine learning, data mining, and statistical algorithms to deliver insights for multiple stakeholders
• Collaborate with subject-matter experts on analysis, curation, and exploitation of both small and large data sets
• Conduct application, research, and development of state-of-the-art approaches under strict project timelines
• Drive independent ideation and manage task prioritization
• Maintain documentation of technical progress and communicate effectively within the team
• Present results and progress as work advances

Required qualifications

• Master’s Degree in Computer Science, Mathematics, Statistics, Physics, or a related area
• Minimum GPA of 3.5 (GPA must be shown on your resume to be considered)
• US citizenship with ability to obtain a security clearance
• Strong programming background in Python
• Strong knowledge of statistics
• Familiarity with Artificial Neural Networks, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers
• Experience applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensionality Reduction, Neural Networks & Deep Learning, and Feature Engineering

Technologies you may work with

• Python, PyTorch, Pandas, Seaborn, SciPy
• Machine learning and deep learning: ANN, CNN, RNN, Autoencoders, Transformers
• Modeling and data approaches: Regression, Classification, Clustering, Decision Trees, Dimensionality Reduction, Feature Engineering
• Collaboration and delivery: Git, DevSecOps, and MLOps frameworks such as ClearML
• C++

Clearance notice

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

Desired qualifications

• Possession of or pursuit of a Ph.D. in Computer Science, Mathematics, Statistics, Physics, or related area
• Publications or presentations demonstrating strong research experience
• Experience in an applied quantitative, 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