Data Scientist - AI Engineer

Responsibilities

• AI Integration: Contribute to integrating AI into NATO’s wargaming efforts and collaborate with experts to identify opportunities for enhancement.
• Roadmap Development: Develop a strategy for AI integration into wargaming simulations.
• Data Analysis & Visualization: Implement methods for data collection, analysis, and real-time visualizations to support decision-making during simulations.
• Human-Machine Teaming: Design tools for effective collaboration between humans and AI.
• Experimentation: Conduct experiments to test AI applications in wargaming scenarios and present findings.
• Content Development: Create multimedia content for training and preparatory materials using AI tools.
• Training & Support: Support NATO personnel training on AI in wargaming and explore AI applications for automation.
• Travel: Willingness to travel up to 30 days annually for meetings, conferences, and exercises.
  
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  Qualifications:
  Essentials
  Active Secret Clearance
  Nationality: Must be a citizen of a NATO member country.
  Education: Bachelor’s degree in Data Science, ML, AI, or related fields (Master’s preferred). Alternatively, 4+ years of relevant professional experience.
  Experience:
  Minimum 4 years in Data Science, Machine Learning, or AI (5+ years preferred).
  Proven expertise in integrating AI technologies into real-world applications (3+ years required, 5+ years preferred).
  Experience with generative AI models, especially Large Language Models (LLMs).
  Proficiency in tools such as Python, R, Tableau, Power BI, TensorFlow, PyTorch, and scikit-learn.
  Understanding of wargaming principles and methodologies.
  Skills:
  Ability to communicate complex technical concepts to non-technical stakeholders.
  Proven collaboration in interdisciplinary teams.
  Expertise in managing AI-related projects from planning to execution and reporting.
  Knowledge of data security principles and best practices.

  Minimum Requirements
   

  Active Secret Clearance and must be a citizen of a NATO member country.
  At least 4 years of professional experience in Data Science, AI, or ML, including demonstrated success in integrating AI into practical applications.
  Proficiency in tools such as TensorFlow, PyTorch, scikit-learn, and experience working with Large Language Models (LLMs).
  Local to Norfolk, VA, or able to commute regularly to the on-site location.
   

Qualifications:

• Essentials
  • Active Secret Clearance
  • Nationality: Must be a citizen of a NATO member country.
  • Education: Bachelor’s degree in Data Science, ML, AI, or related fields (Master’s preferred). Alternatively, 4+ years of relevant professional experience.
• Experience:
  • Minimum 4 years in Data Science, Machine Learning, or AI (5+ years preferred).
  • Proven expertise in integrating AI technologies into real-world applications (3+ years required, 5+ years preferred).
  • Experience with generative AI models, especially Large Language Models (LLMs).
  • Proficiency in tools such as Python, R, Tableau, Power BI, TensorFlow, PyTorch, and scikit-learn.
  • Understanding of wargaming principles and methodologies.
• Skills:
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Proven collaboration in interdisciplinary teams.
  • Expertise in managing AI-related projects from planning to execution and reporting.
  • Knowledge of data security principles and best practices.

Minimum Requirements

• Active Secret Clearance and must be a citizen of a NATO member country.
• At least 4 years of professional experience in Data Science, AI, or ML, including demonstrated success in integrating AI into practical applications.
• Proficiency in tools such as TensorFlow, PyTorch, scikit-learn, and experience working with Large Language Models (LLMs).
• Local to Norfolk, VA, or able to commute regularly to the on-site location.