Data Scientist

Job DescriptionJob Description

POSITION: Data Scientist / AI Engineer (Focus on Wargaming Integration)

LOCATION: Norfolk, VA

SECURITY CLEARANCE: Secret

Job Requirements

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

Essential Qualifications:

• of one of the NATO member countries.
• 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. (Master's ) (5-6 years )
• 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). (5 years )
• Demonstrated experience (minimum of 3 years in the last 5 years) in integrating AI technologies into practical applications. (5 years )
• Proficiency in AI and machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn. (5 years )
• Experience with generative AI models, in particular Large Models (LLMs). (5-6 years )
• 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. (5 years )
• Understanding of wargaming principles and methodologies.
• Ability to communicate complex concepts effectively to non-technical stakeholders.
• Proven ability to work collaboratively in cross-functional and interdisciplinary teams.
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  Experience in managing AI-related projects, including planning, execution, and (analytical) reporting.
• Experience in multimedia content such as short videos for educational or preparatory purposes, with a willingness to explore AI technologies for content .
• Knowledge of data security principles and best practices.