Data Jobs in Ruston, LA

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Research Data Scientist

Radiance Technologies Ruston, LA

Ruston, LA

Today

Full time Artificial Intelligence Data Analysis Data Analytics

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Job Description

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

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