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.
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 3 years of experience in data science, analytics, or a related field
- Knowledge of 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
