AI Data Scientist

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