Data Scientist (1168)

Location: The Hague, NetherlandsEmployment Type: Full-time, On-siteSecurity Clearance Required: NATO Secret Security ClearanceAbout the RoleWe 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 ResponsibilitiesData Science & Machine LearningApply existing data science techniques to new problems and datasets using specialized programming methods to meet Agency and customer requirementsSelect, prepare, and preprocess data from existing sources for use in data science modelsEvaluate outcomes and performance of machine learning models, identifying opportunities for training and improvementContribute to machine learning initiatives across the Business Area, including recommendations for ML approaches, implementation strategies, and performance assessmentUtilize and apply pre-trained machine learning models (including Generative AI) for specific use casesData Infrastructure & Pipeline ManagementSupport the development and maintenance of data pipelines for both structured and unstructured dataAssist in maintaining the Agency's data lakes, implementing updates and coordinating with system owners to ensure data availability for analysisPlan, execute, and maintain robust data pipelinesReporting & CommunicationPublish and report on machine learning model outputs to meet customer needs while conforming to agreed standardsEffectively communicate technical concepts to both technical and non-technical stakeholdersInnovation & Continuous ImprovementSupport reviews of data science and AI activities, processes, products, and servicesContribute to the development and modifications of data science toolsets and metricsStay current with emerging developments in data science and AI, bringing innovative ideas to implementationRequired QualificationsEducation & ExperienceBachelor'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 fieldTechnical SkillsProficiency with state-of-the-art data science and analytical tools and relevant programming languagesAt least 3 years of experience in data manipulation and exploration, including data cleaning, preprocessing, and exploratory data analysisProven practical experience in programming, data visualization, and machine learningStrong knowledge of machine learning, statistical, and mathematical modelsProfessional CompetenciesTrack record of delivering solutions using leading technology to achieve desired resultsProven ability to communicate effectively both orally and in writingAbility to explain complex technical concepts to diverse audiencesDesirable QualificationsEducationMaster's degree or higher from a nationally recognized/certified university in Data Science or AI EngineeringAdditional Technical ExperienceExperience with data presentation tools such as Microsoft Power BI, Spotfire, Tableau, Kibana, Dash, or StreamlitKnowledge of DevOps best practices (Git, Continuous Integration/Continuous Delivery pipelines)Experience with Cloud Computing platformsSecurity RequirementsCandidates must be eligible to obtain and maintain NATO Secret Security Clearance.