Description
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
Requirements
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
Bachelor’s 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
