Research Data Scientist

Radiance Technologies; Ruston (LA); On-site; USD 110,000 - 150,000; Full time

Job summary

Radiance Technologies is seeking a 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 integration of diverse data sources to support stakeholders.

The candidate will apply machine learning, data mining, and statistical methods to extract insights, collaborate with subject-matter experts, and transition across domains including embedded systems, security, and

Qualifications

• Master’s degree in CS, Math, Stats, Physics, or related field.
• GPA 3.5+ (resume must show GPA).
• US citizenship with ability to obtain security clearance.
• Proficient in Python.
• Strong knowledge of statistics.
• Familiar with ANNs (CNNs, RNNs, Autoencoders, Transformers).
• Experience with ML methods: Regression, Classification, Clustering, etc.

Responsibilities

• Analyze, curate, and exploit diverse data sets with SMEs.
• Develop ML algorithms and perform data mining.
• Document progress and present results to stakeholders.
• Work across domains including security, remote sensing, modeling, and computation.

Skills

Python

Statistics

Machine Learning

Data Analytics

ANNs & Transformers

Data Mining

C++

Education

Master’s Degree in Computer Science, Mathematics, Statistics, Physics, or related area

Pursuing Ph.D. in Computer Science, Mathematics, Statistics, Physics, or related area

Tools

PyTorch

Pandas

Seaborn

SciPy

Git

ClearML

MLOps

C++

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 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.