DATA SCIENTIST/AI ENGINEER

DATA SCIENTIST / AI ENGINEER (FOCUS WARGAMING INTEGRATION)

Location : NORFOLK, VA on-site

Security Clearance : NATO Secret

BACKGROUND

Data Exploitation and Artificial Intelligence (AI) are essential elements of NATO’s digital transformation, enabling and driving faster, data-driven decision-making and operational efficiency. These technologies are crucial for building a more adaptive and responsive NATO, prepared to meet the challenges of Multi-Domain Operations (MDO) and a rapidly evolving security landscape. As NATO's command dedicated to future warfare, Allied Command Transformation (ACT) leads efforts to explore, develop, and integrate latest technologies into military capabilities to transform the Alliance.

Wargaming has been recognized by NATO as a critical tool for future warfare development. It is essential for planning and decision-making, simulating complex military scenarios to provide strategic, operational, and tactical insights. ACT is delivering wargaming capabilities for NATO, employing it wargaming to understand military challenges and explore new technologies and strategies. ACT aims to refine NATO’s use of wargaming by integrating AI, thereby enhancing its capabilities and accelerating AI adoption.

The contractor will join the Data Science and AI Team, ACT’s cross-functional hub for data science, data exploitation and Artificial Intelligence. This team facilitates collaboration, provides access to resources and expertise, ensuring efficient use of technologies. The AI Integrator will play a key role in supporting the seamless integration of AI into NATO’s wargaming efforts and broader digital transformation initiatives.

TASKINGS:

1. Contribute to the integration of AI in NATO’s warfare development efforts, particularly wargaming.
2. Collaborate with wargaming experts to identify key areas for AI enhancement.
3. Support the development of a roadmap for AI integration into NATO wargaming.
4. Implement data collection and analysis methods for wargaming datasets.
5. Develop real-time analytics and visualizations to support decision-making during wargaming simulations.
6. Support human-machine teaming by integrating AI tools for enhanced collaboration.
7. Design and conduct experiments to test AI applications in wargaming scenarios.
8. Document and present findings from AI integration experiments.
9. Ensure data integrity and security in all AI-related wargaming activities, considering NATO’s Principles of Responsible Use.
10. Provide technical guidance to wargaming experts on AI technologies.
11. Develop analytical reports summarizing AI-enhanced wargaming exercises.
12. Explore AI applications to automate administrative tasks.
13. Participate in workshops, conferences, and meetings to stay updated on AI technologies.
14. Support training development for NATO personnel on AI in wargaming.
15. Develop multimedia content, such as short videos for wargaming scenarios or preparatory materials, and explore the use of AI technologies for video generation.
16. Willingness to travel up to 30 days per year for meetings, conferences, and exercises.
17. Perform additional tasks as required by the COTR related to Data Science & AI integration.

ESSENTIAL QUALIFICATIONS

1. University degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science, or a related field OR four years minimum professional experience in Data Science, ML, AI within the last 5 years.
2. Minimum of 4 years in the last 5 years working in data science, machine learning, or AI engineering in a professional environment (not including studies).
3. Demonstrated experience (minimum of 3 years in the last 5 years) in integrating AI technologies into practical applications.
4. Proficiency in AI and machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn.
5. Experience with generative AI models, in particular Large Language Models (LLMs).
6. Demonstrated experience (minimum of 3 years in the last 8 years) in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI.
7. Understanding of wargaming principles and methodologies.
8. Ability to communicate complex concepts effectively to non-technical stakeholders.
9. Proven ability to work collaboratively in cross-functional and interdisciplinary teams.
10. Experience in managing AI-related projects, including planning, execution, and (analytical) reporting.
11. Experience in multimedia content such as short videos for educational or preparatory purposes, with a willingness to explore AI technologies for content generation.
12. Knowledge of data security principles and best practices.