AI Data Scientist

Vets Hired

$110K — $130K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI/ML or data science
  • Expertise in data science methodologies and frameworks
  • Proficient in Python, R, and SQL
  • Solid understanding of programming languages like C, C++, Java, or JavaScript
  • Experience with data architecture design and maintenance
  • Hands-on experience with various AI/ML techniques
  • Active Secret security clearance

Responsibilities

  • Conduct data integration from diverse sources and systems
  • Develop flexible analytics and visualization solutions
  • Rapidly build, train, and deploy AI models securely
  • Create AI/ML solutions for various environments
  • Implement data science methods in operational settings

Benefits

  • Opportunity to work on cutting-edge defense technology
  • Impactful role supporting national security initiatives
  • Work in a collaborative and innovative environment
  • Exposure to advanced data science and AI methodologies
  • Engagement in real-world applications of analytics solutions
Full Job Description
Job 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 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


Working Place:

Camp Pendleton, California, United States

Company :

2026 Jan 29th Virtual Fair - Auria Space

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