AI Data Scientist

Job Summary

We are seeking an AI Data Scientist to support defense‑related testing, engineering, integration, and sustainment activities for advanced C5

ISR 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.

• 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

• 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 Java Script

• 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

• 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