Radiance Technologies is a 100% employee-owned company where innovation, ownership, and collaboration are at the core of everything we do. We offer a standout benefits package—including competitive salaries, full health/dental/vision/life insurance, a generous 401(k), tuition reimbursement, and a supportive, growth-driven work environment.
We’re looking for a Data Scientist to join our Enhanced Modeling and Simulation (M&S) team. In this role, you’ll work alongside a multidisciplinary team of software engineers, fellow data scientists, and operations research analysts to support the Joint Warfare Analysis Center and other Department of Defense and Intelligence Community missions.
If you're passionate about extracting insights from complex data, applying cutting-edge machine learning techniques, and helping shape national defense strategies, this is your opportunity to make a difference.
Key Responsibilities
- Collect, explore, and analyze complex datasets from multiple sources to uncover actionable trends and insights
- Design experiments and perform statistical modeling, including testing and validation of predictive algorithms
- Develop scalable, cloud-enabled data pipelines and automation for efficient model deployment
- Create custom algorithms to solve analytical challenges with incomplete or high-dimensional data
- Visualize and communicate data-driven findings to technical and non-technical stakeholders, including business and IT leaders
- Build web-based data prototypes and dashboards to support decision-making
- Collaborate with database engineers and M&S experts to refine data management workflows and best practices
- Contribute to the development and implementation of advanced data access tools, and train team members on new or enhanced systems
Required Skills
- Strong communication skills and ability to translate complex findings into clear, actionable insights
- Self-starter with a collaborative mindset and high attention to detail
- Active TS/SCI security clearance required
Required Experience
- Minimum 5 years of experience in data science, analytics, or a related field
- Expertise in data normalization and handling large, complex, or incomplete datasets
- Strong proficiency in Python and/or R (VBA or MATLAB experience a plus)
- Experience visualizing analytical results and building compelling dashboards
- Familiarity with constructive simulation systems (e.g., AFSIM, ITASE, NGTS)
- Proven ability to perform advanced statistical modeling and experimentation
Desired Qualifications
- Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, or a related discipline
(with at least 30 semester hours in mathematics, statistics, or computer science) - Experience developing or enhancing cloud-based data solutions
- Strong knowledge of data imputation techniques and applied machine learning
- Familiarity with defense-related analytics or operational modeling preferred
EOE/Minorities/Females/Vet/Disabled
Top Skills
What We Do
Radiance Technologies, Inc. is an employee-owned small business prime contractor. Radiance leads the way in developing government and commercial customer-focused solutions. Leveraging its record of technical innovation and operational expertise, Radiance Technologies offers:
• Cyber Solutions
• Systems Engineering
• Technology Development, Production, Testing, and Evaluation
• Technology Application
• Intelligence Community Support
• Government Program Support
The company’s 900+ employees in 15+ U.S. and international offices serve customers in the Department of Defense (DOD), National Aeronautics and Space Administration (NASA), the national intelligence community, the Department of Homeland Security (DHS), other government organizations, and selected commercial customers.
Radiance Technologies continues to attract and retain talented motivated employees by being an employee-owned company – founded with the idea of providing an environment, a benefits package, and a stock ownership plan that are second to none.
For more information, visit www.radiancetech.com. Radiance Technologies, Inc. – Concepts to Capabilities®
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