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
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Conduct data integration across multiple sources and systems
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Investigate and develop flexible analytics solutions, including visualization, model building, and decision-support capabilities
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Support the secure, rapid development, training, evaluation, debugging, and deployment of AI models
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Develop AI/ML solutions applicable to distributed, vehicle-mounted, and on-premises environments
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Apply data science methodologies, standards, and frameworks to operational and test environments
Required Skills & Qualifications
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Ability to apply data science expertise using established processes, methodologies, and frameworks
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Experience developing and applying data science tools in integrated test and/or operational environments
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Proficiency with statistical programming languages such as Python, R, and SQL
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Experience with programming languages such as C, C++, Java, or JavaScript
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Experience designing, working with, and maintaining data architectures
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Hands-on experience with AI/ML techniques, including large language models, clustering, decision trees, and neural networks
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Strong understanding of advanced statistical techniques, including regression, probability distributions, and statistical testing
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Active Secret security clearance
Preferred Qualifications
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Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, Computer Engineering, or a related field
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Knowledge of statistical analysis and data mining techniques
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Three or more years of experience with distributed data and computing tools
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Three or more years of experience developing and applying advanced machine learning and statistical models, including regression, simulation, modeling, clustering, and neural networks
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Experience visualizing data and presenting analytical results to technical and non-technical stakeholders