Location: The Hague, Netherlands

Employment Type: Full-time, On-site

Security Clearance Required: NATO Secret Security Clearance

About the Role

We are seeking a talented Data Scientist to join our team and support the Agency's data science and AI initiatives. Under the direction of the Section Head, you will apply cutting-edge data science techniques to solve complex problems, develop and maintain machine learning models, and contribute to the Agency's analytical capabilities.

Key Responsibilities

Data Science & Machine Learning

• Apply existing data science techniques to new problems and datasets using specialized programming methods to meet Agency and customer requirements
• Select, prepare, and preprocess data from existing sources for use in data science models
• Evaluate outcomes and performance of machine learning models, identifying opportunities for training and improvement
• Contribute to machine learning initiatives across the Business Area, including recommendations for ML approaches, implementation strategies, and performance assessment
• Utilize and apply pre-trained machine learning models (including Generative AI) for specific use cases

Data Infrastructure & Pipeline Management

• Support the development and maintenance of data pipelines for both structured and unstructured data
• Assist in maintaining the Agency's data lakes, implementing updates and coordinating with system owners to ensure data availability for analysis
• Plan, execute, and maintain robust data pipelines

Reporting & Communication

• Publish and report on machine learning model outputs to meet customer needs while conforming to agreed standards
• Effectively communicate technical concepts to both technical and non-technical stakeholders

Innovation & Continuous Improvement

• Support reviews of data science and AI activities, processes, products, and services
• Contribute to the development and modifications of data science toolsets and metrics
• Stay current with emerging developments in data science and AI, bringing innovative ideas to implementation

Required Qualifications

Education & Experience

• Bachelor's degree from a nationally recognized/certified university in a relevant discipline (Data Science, Mathematics/Statistics, Computer Science, or Engineering)
• Minimum 3 years of post-qualification experience in a related field

Technical Skills

• Proficiency with state-of-the-art data science and analytical tools and relevant programming languages
• At least 3 years of experience in data manipulation and exploration, including data cleaning, preprocessing, and exploratory data analysis
• Proven practical experience in programming, data visualization, and machine learning
• Strong knowledge of machine learning, statistical, and mathematical models

Professional Competencies

• Track record of delivering solutions using leading technology to achieve desired results
• Proven ability to communicate effectively both orally and in writing
• Ability to explain complex technical concepts to diverse audiences

Desirable Qualifications

Education

• Master's degree or higher from a nationally recognized/certified university in Data Science or AI Engineering

Additional Technical Experience

• Experience with data presentation tools such as Microsoft Power BI, Spotfire, Tableau, Kibana, Dash, or Streamlit
• Knowledge of DevOps best practices (Git, Continuous Integration/Continuous Delivery pipelines)
• Experience with Cloud Computing platforms

Security Requirements

Candidates must be eligible to obtain and maintain NATO Secret Security Clearance.