NATO Staff Officer - Data Science

Job Posting Organization:
The Allied Joint Force Command Norfolk (JFCNF) serves as a resilient, static Joint headquarters that is responsible for planning, preparing, and conducting operations across all domains during peacetime, crisis, and conflict. This organization supports NATO's three core tasks at the Joint Operational level as directed by the Supreme Allied Commander Europe (SACEUR). The Communication Directorate within JFCNF manages information activities and capabilities to support the command's policies, operations, and activities, aiming to advance the command's objectives. The Information Environment Assessment Branch specifically focuses on conducting systematic, data-driven analyses and assessments of the Information Environment to enhance understanding, decision-making, and capability application in the engagement space.

Job Overview:
The NATO Staff Officer - Data Science position involves delivering hands-on advanced data analytics to support Information Environment Assessment (IEA) activities. The incumbent will apply data science techniques, including machine learning, deep learning, and advanced visualizations, to improve the quality and operational relevance of IEA products. This role includes overseeing the implementation of data analytics for IEA at JFCNF and contributing to Allied Command Operations (ACO)-wide data science activities, ensuring alignment with established technical direction. The position requires a proactive approach to data analysis and the ability to produce high-quality analytical outputs that provide clear, evidence-based recommendations. The incumbent will also maintain awareness of emerging analytical methods and tools relevant to IEA and contribute to their practical application.

Duties and Responsibilities:
The duties and responsibilities of the NATO Staff Officer - Data Science include conducting hands-on data analysis and modeling to support Information Environment assessments. This involves data exploration, preparation, statistical analysis, and the application of machine learning and deep learning techniques. The incumbent will develop and apply advanced analytical approaches to enhance IEA products, design custom data processing pipelines, create visualizations, and produce rapid prototypes to test new analytical concepts. Additionally, the role requires producing high-quality analytical outputs, including reports and briefings, and supporting the application of data and advanced analytics across ACO. The incumbent will oversee the implementation of data analytics within the IEA branch, ensuring effective application of tools and methodologies, and providing technical guidance to analysts. The role also includes maintaining awareness of emerging analytical methods and undertaking additional duties as directed by the Chain of Command.

Required Qualifications:
Essential qualifications for this position include a University Degree in statistics, applied mathematics, computer science, economics, operations research, or a related discipline with a strong focus on statistical modeling and machine learning, along with 4 years of post-related experience. Alternatively, candidates with Higher Secondary education and completed advanced vocational training in a relevant discipline leading to a professional qualification or accreditation, along with 6 years of post-related experience, will also be considered. Candidates must have a minimum of 4 years of experience in data science, analytics, AI, or a related field, and experience working with large and complex data sets, including both structured and unstructured data. A strong background in statistical modeling, machine learning, and AI is required, along with experience in developing custom analytical solutions using programming languages such as Python.

Educational Background:
Candidates must possess a University Degree in a relevant field such as statistics, applied mathematics, computer science, economics, or operations research, with a strong emphasis on statistical modeling and machine learning. A complementary degree in political science, communications, or a relevant field is desirable. Advanced degrees such as an MSc or PhD in the aforementioned disciplines are also preferred.

Experience:
The position requires a minimum of 4 years of post-related experience in data science, analytics, AI, or a related field. Candidates should have experience working with large and complex data sets, including both structured and unstructured data, and should demonstrate proficiency in data transformation, integration, and analysis. Experience in developing reports and data visualizations, as well as the ability to communicate complex analytical findings clearly and compellingly, is essential.

Languages:
The mandatory language for this position is English, with a proficiency level of SLP 3333 (Listening, Speaking, Reading, and Writing). While English is the primary language required, knowledge of additional languages may be considered an asset.

Additional Notes:
The successful applicant will be required to apply for and receive a NATO SECRET security" style="border-bottom: 1px dotted #007bff !important;">security-clearance" style="border-bottom: 1px dotted #007bff !important;">Security Clearance prior to final confirmation of contract and commencement of employment. The contract for newly recruited staff will be a three-year definite duration contract, while serving NATO International Civilian staff will be offered a contract in accordance with NATO Civilian Personnel Regulations. Candidates should note that applications must be completed in English, and expressions such as 'please see attached CV' are not acceptable. The NATO organization is committed to diversity and inclusion, encouraging applications from all member nations and particularly welcoming women to apply. The vacancy will close on 12 Sep 2026 at 17:59hrs (EDT)/11:59hrs (CEST).