Job Summary We are seeking an AI Data Scientist to support defense-related testing, engineering, integration, and sustainment activities for advanced C5ISR systems. This role focuses on data integration, advanced analytics, and the development and deployment of secure AI/ML solutions in both real-world and theoretical environments. The position supports decision-making, experimentation, and operational effectiveness through scalable and portable data-driven solutions. Key Responsibilities • Conduct data integration across multiple sources and systems • Investigate and develop flexible analytics solutions, including visualization, model building, and decision-support capabilities • Support the secure, rapid development, training, evaluation, debugging, and deployment of AI models • Develop AI/ML solutions applicable to distributed, vehicle-mounted, and on-premises environments • Apply data science methodologies, standards, and frameworks to operational and test environments Required Skills & Qualifications • Ability to apply data science expertise using established processes, methodologies, and frameworks • Experience developing and applying data science tools in integrated test and/or operational environments • Proficiency with statistical programming languages such as Python, R, and SQL • Experience with programming languages such as C, C++, Java, or JavaScript • Experience designing, working with, and maintaining data architectures • Hands-on experience with AI/ML techniques, including large language models, clustering, decision trees, and neural networks • Strong understanding of advanced statistical techniques, including regression, probability distributions, and statistical testing • Active Secret security clearance Preferred Qualifications • Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a related field • Knowledge of statistical analysis and data mining techniques • Three or more years of experience with distributed data and computing tools • Three or more years of experience developing and applying advanced machine learning and statistical models, including regression, simulation, modeling, clustering, and neural networks • Experience visualizing data and presenting analytical results to technical and non-technical stakeholders