AI Data Scientist in Camp Pendleton

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Job DescriptionJob 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

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 such as Python, R, and SQL

• Experience with programming such as C, C++, Java, or JavaScript

• Experience designing, working with, and maintaining data architectures

• Hands-on experience with AI/ML techniques, including large models, clustering, decision trees, and neural networks

• Strong understanding of advanced statistical techniques, including regression, probability distributions, and statistical testing

• Active Secret security clearance

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

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