Research Data Scientist

Radiance Technologies, Inc.; Ruston (LA); On-site; USD 90,000 - 130,000; Full time

Job summary

Radiance Technologies, Inc. seeks 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 ML to integrate and analyze diverse data sources for stakeholders. The candidate should excel in research, have a strong Python background, and be prepared to work across domains including embedded systems, hardware/software security, remote sensing, and scientific

Qualifications

• Master’s degree required; GPA 3.5; US citizenship with ability to obtain security clearance.
• Strong programming background in Python and strong knowledge of statistics.
• Experience with ML methodologies: Regression, Classification, Clustering, Decision Trees, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering.

Responsibilities

• Documentation of technical progress and effective team communication.
• Presentation of results and progress.

Skills

Python programming

Statistics

Neural networks

Machine learning methods

Git

ClearML

C++

DevSecOps

Education

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

Ph.D. (in CS/Math/Stats/Physics) or pursuing

Tools

PyTorch

Pandas

Seaborn

SciPy

Git

ClearML

MLOps frameworks

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.

Our growth is creating great opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it!

Employee-Ownership

Radiance is a proud employee-owned company! Employee-ownership benefits both our customers and workforce, and ensures that Radiance doesn't have to answer to stockholders or be driven by quarterly earnings reports. Thus, Radiance will always prioritize enhancing our customer's mission over expanding our bottom line. We are singularly focused on providing our customers with game-changing solutions to their most challenging requirements. This is only possible because employee-ownership attracts the highest quality employees, empowers them to identify capability enhancements, and provides them with the freedom to take risks to deliver high-quality solutions. Employee-ownership also provides tangible and long-term financial security for our people and their families. Therefore, employee-ownership embodies participation, empowerment, freedom, teaming, excellence, accountability, mission focus, and security.

Our Culture

Radiance's culture is driven by our commitment to our customers and our employee-owners. Our employee-owners thrive on entrepreneurship, empowerment, and mutual responsibility for growth and sustainability. Our culture consists of individuals who embody technical and leadership skills to deliver superior solutions to the nation’s toughest technical challenges. We believe building trust and credibility with our customers leads to long-term results. We invest in a superior technical workforce where leaders are developed, innovation is encouraged, and achievements are recognized. We seek innovative ways to improve, experiment, take risks, foster collaboration, and empower our employee-owners.

Our Values

Our values drive our culture, business model, and daily interactions. These values constantly remind us of who we are and what we do. Our employee-owners influence how we operate our business. We relentlessly pursue operating excellence by innovating, improving our processes, and reducing waste. We believe in being wise and ethical stewards of capital and resources. Our values dictate how we interact with each other and our customers, partners, and suppliers. Honesty, trust, humanity, alignment, and value creation require that we treat our employees with dignity and respect and provide them with fair compensation and equal employment opportunity. We believe in connecting with our communities and have a responsibility to be good corporate citizens, and we believe in sustainable business practices, which include supporting the environment and the communities in which we work.