Machine Learning Scientist with Security Clearance

Radiance Technologies; Ruston (LA); On-site; USD 120,000 - 160,000; Full time

Job summary

Radiance Technologies is seeking a talented Research Data Scientist to join the Advanced Cyber Technology Operation within the Scientific and Technical Intelligence Group. The role focuses on data analytics, algorithm development and applying machine learning across diverse data sources.

You will work on advanced deep-learning architectures, while meeting tight project timelines and contributing to embedded systems, security, remote sensing, and modeling efforts.

Qualifications

• Master's Degree in Computer Science, Mathematics, Statistics, Physics, or related area
• Minimum GPA of 3.5
• US citizenship with the ability to obtain a security clearance
• Strong programming background in Python
• Knowledge of major Deep-Learning architectures: MLPs, CNNs, RNNs, Autoencoders, Transformers
• Possesses or pursuing Ph.D. in related field
• Publications/presentations demonstrating strong research experience
• Experience in an applied quantitative, scientific domain
• Experience with PyTorch, Pandas, Seaborn, SciPy
• 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: eligible for government security investigation

Responsibilities

• Document technical progress and results clearly
• Communicate effectively within a team
• Present findings and progress to stakeholders

Skills

Python

C++

Machine Learning

Deep Learning

Git

MLOps

Pandas

PyTorch

Seaborn

SciPy

Differential equations

Graph theory

Communication

Education

Master's degree (CS/Math/Stats/Physics)

PhD (preferred)

Tools

PyTorch

Pandas

Seaborn

SciPy

Git

ClearML

Job 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 application, research, and development of advanced deep-learning architectures. The ability to work 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
• US citizenship with the ability to obtain a security clearance
• Strong programming background in Python
• A working knowledge of major Deep-Learning architectures: Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers
• Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning 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.