Staff Officer (Data Science)

The Staff Officer (Data Science) at NATO's Joint Force Command Norfolk supports Information Environment Assessment activities by applying advanced data analytics, including machine learning and deep learning, to enhance operational relevance. The role involves hands-on data analysis, development of analytical approaches, and contributing to command-wide data science initiatives.

Responsibilities

• Conduct hands-on data analysis and modeling in support of Information Environment assessment including data exploration, preparation, statistical analysis and application of machine and deep learning techniques.
• Develop and apply advanced or novel analytical approaches to enhance Information Environment Assessment products including custom data processing pipelines, visualisations, models and rapid prototypes.
• Produce high-quality analytical outputs including reports, briefings and visualisations with clear, evidence-based and actionable recommendations.
• Support application of data, advanced analytics and AI across Allied Command Operations by developing and implementing analytical approaches, models and tools.
• Oversee implementation of data analytics within the Information Environment Assessment branch ensuring effective application of tools, methodologies and analytical approaches.
• Support use of commercially available data analytics tools through technical guidance and promotion of best practices.
• Contribute to quality, scope and operational relevance of Information Environment Assessments by applying rigorous analytical methods and critical judgement.
• Maintain awareness of emerging analytical methods, tools and data sources relevant to Information Environment Assessment and contribute to their practical application.
• Undertake additional duties and assume other responsibilities as directed by the Chain Of Command.

Requirements

• University Degree in statistics, applied mathematics, computer science, economics, operations research or related discipline with strong focus on statistical modelling and machine learning and 4 years post related experience, or Higher Secondary education and completed advanced vocational training in that discipline leading to a professional qualification or professional accreditation with 6 years post related experience.
• Minimum of 4 years post-related experience relating to data science, analytics, AI or a related field.
• Experience working with large and complex data sets, including structured and unstructured data.
• Experience in data transformation, integration and analysis, including cleaning, pre-processing and feature engineering for statistical modelling, machine learning and AI system development.
• Strong background in statistical modelling, machine learning and AI with applications to real-world problems.
• Experience developing custom analytical solutions using programming languages such as Python for data processing, visualisation and machine learning.
• Experience in qualitative and quantitative data collection, processing and analysis, including audience research data.
• Demonstrated experience using analytics and analytical tools to generate actionable insights for decision-making.
• Experience developing reports and data visualisations and communicating complex analytical findings clearly and compellingly.
• English language proficiency at SLP 3333 level (Listening, Speaking, Reading and Writing).
• Desirable: Complementary degree in political science, communications, or relevant field.
• Desirable: MSc/PhD in statistics, applied mathematics, computer science, operational research, economics or related discipline with focus on statistical modelling and machine learning.
• Desirable: Prior experience in an international organization with military and civilian elements or public sector in military or intelligence community.
• Desirable: Knowledge of NATO relevant subjects such as information activities of hostile actors and online manipulation techniques.

Skills

• Statistical Modelling
• Machine Learning
• Artificial Intelligence
• Data Science
• Data Analytics
• Data Transformation
• Data Integration
• Data Cleaning
• Feature Engineering
• Python Programming
• Data Visualization
• Qualitative Analysis
• Quantitative Analysis
• Audience Research Data
• Analytical Tools Development
• Report Development
• Complex Data Set Analysis

Languages

English