Research Data Scientist

Radiance Technologies • Ruston, LA

1d

About The Position

Radiance Technologies is seeking a Research Data Scientist to join the Advanced Cyber Technology Operation in its Scientific and Technical Intelligence Group. The role provides data analytics and algorithm-development expertise to support the integration and analysis of diverse data sources. The scientist applies machine learning, data mining, and statistical algorithms to generate insights and meet stakeholder needs, with a particular focus on curating and exploiting small and large datasets alongside subject-matter experts.

The position involves researching and developing state-of-the-art methods under strict project timelines. It requires independent ideation, effective task prioritization, and flexibility to move among application areas, including embedded systems, hardware and software security, remote sensing, modeling and simulation, and scientific computation. The role also includes documenting technical progress, communicating effectively within a team, and presenting results and progress.

Requirements

• Master’s degree in Computer Science, Mathematics, Statistics, Physics, or a related area.
• Minimum GPA of 3.5; GPA must be shown on the resume to be considered.
• U.S. citizenship and ability to obtain a security clearance.
• Strong programming background in Python.
• Strong knowledge of statistics.
• Familiarity with Artificial Neural Networks, including Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Transformers.
• Experience applying core machine-learning methodologies, including regression, classification, clustering, decision trees, dimensionality reduction, neural networks and deep learning, and feature engineering.

Nice To Haves

• Possesses or is pursuing a Ph.D. in Computer Science, Mathematics, Statistics, Physics, or a related area.
• 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.

Responsibilities

• Integrate and analyze diverse data sources.
• Apply machine learning, data mining, and statistical algorithms to generate insights and advance stakeholder needs.
• Analyze, curate, and exploit small and large datasets in collaboration with subject-matter experts.
• Research and develop state-of-the-art approaches under strict project timelines.
• Transition between application domains as mission needs require, including embedded systems, hardware and software security, remote sensing, modeling and simulation, and scientific computation.
• Document technical progress, communicate within a team, and present results and progress.

What This Job Offers

• Job Type: Full-time