Job Details

Job Overview

The Data Scientist – AI Engineer will lead the integration of artificial intelligence into NATO’s wargaming operations, collaborating with interdisciplinary teams to design, test, and implement innovative AI solutions. Responsibilities include developing strategies for AI integration, real-time analytics, and human-machine teaming, while ensuring data security and compliance with NATO standards. This role requires a hands-on expert with a deep understanding of AI frameworks, wargaming methodologies, and a proven ability to communicate technical concepts to diverse stakeholders.

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.

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.

Ideal Candidate

The ideal candidate is a highly skilled Data Scientist or AI Engineer with:

  • Active Secret Clearance and citizenship in a NATO member country.
  • Residency in Norfolk, VA, or the ability to commute.
  • A minimum of 4 years of professional experience in Data Science, Machine Learning, or AI, with expertise in tools like Python, TensorFlow, and PyTorch.
  • Proven success in integrating AI technologies into real-world applications and experience working with Large Language Models (LLMs).
  • Strong communication skills to explain technical concepts to non-technical stakeholders, and experience with wargaming methodologies or multidisciplinary team environments.

Must-Have 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.

Screening Questions

1. Can you describe a project where you integrated AI into a practical application? What challenges did you face, and how did you overcome them?
2. How have you worked with interdisciplinary teams to implement AI solutions?
3. What experience do you have with wargaming principles or methodologies?

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