The NCI Agency is seeking a skilled Data Scientist to support NATO’s Programmes of Work in Science & Technology and Innovation.

C003218/6, Data Scientist

Duties

• Data Science Application: Apply established data science techniques and programming methods to new datasets and problems to meet organisational needs.
• Data Preparation: Select and prepare structured/unstructured datasets for model development and analysis.
• Model Evaluation: Assess performance of machine learning and statistical models, improve training data, and refine algorithms.
• Reporting & Publishing: Produce outputs, reports, and visualisations to meet customer requirements and standards.
• Data Pipelines & Lakes: Develop and maintain pipelines and support upkeep of the organisation’s data lake, ensuring data availability.
• Machine Learning Initiatives: Suggest ML approaches, contribute to toolset enhancements, evaluate ML performance, and assist in implementing new solutions.
• Innovation & Continuous Learning: Keep up to date with new advances in data science and AI, introducing innovative techniques where relevant.
• Collaboration: Work with internal teams, stakeholders, industry partners, and academia.
• Additional: May deputize for senior staff; expected to travel frequently across NATO/NCIA sites.

Essential Requirements

Education:

• Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Engineering, or related discipline.
• Minimum 3 years of relevant post-degree experience.

Technical Expertise:

• Experience with advanced data science, analytics, and integration tools.
• Proficiency in data analytics and visualisation tools.
• Background in supporting data-driven operations in a technical organisation.
• Must demonstrate at least two of the following:
• Big Data ecosystem experience (e.g., DataBricks, Spark).
• Planning, executing, and maintaining data pipelines.
• Knowledge of ML/statistical/mathematical models, able to explain to technical & non-technical stakeholders.
• Communication: Proven ability to communicate effectively in writing and orally.

Desirable Requirements

• Master’s degree or higher in Data Science, AI Engineering, or similar.
• Experience with data presentation tools (e.g., Power BI, Tableau, Spotfire, Kibana, Dash, Streamlit).
• Familiarity with DevOps best practices (git, CI/CD pipelines).
• Experience with cloud computing (AWS, Azure, GCP).
• Multilingualism: Proficiency in English required; knowledge of French (or the other NATO language) desirable.

Competencies / Attributes

• Creating & Innovating: Generates new ideas, designs, and solutions.
• Achieving Goals: Proactively seeks responsibility, development opportunities, and works with enthusiasm on challenging tasks.
• Delivering Results: Focuses on customer satisfaction, maintains quality and productivity standards, and works methodically to achieve objectives.

! Security Clearance is required !