#NC25DAT184041 - Data Scientist - Closed
Deadline: October 22, 2025
Requester: NATO
Location: The Hague, Netherlands
Job type: Contractor
Start date: November, 2025
Security clearance: NATO SECRET
SCOPE OF WORK / DUTIES / ROLES
- Applies existing data science techniques to new problems and datasets using specialised programming techniques to meet needs of the Agency and its customers;
- Selects from existing data sources and prepares data to be used by data science models;
- Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use;
- Publishes and reports on machine learning model outputs to meet customer needs and conforming to agreed standards;
- Supports review of data science and AI activities, processes, products or services;
- Support development and maintenance of data pipelines for structured and unstructured data;
- Support maintenance of the Agency's data lakes, implementing updates and working with system owners to ensure data is available for analysis;
- Contribute to machine learning initiative across the Business Area with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets;
- Contribute to new/modifications to data science toolsets and metrics;
- Remain up-to-date with new developments in data science and AI to bring innovative ideas into implementation;
- Perform other duties as may be required.
REQUIRED SKILLS, KNOWLEDGE AND EXPERIENCE
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A minimum requirement of a Bachelor's degree at a nationally recognised/certified University in a relevant discipline (such as data Science, Mathematics/Statistics, Computer Science or Engineering) with 3 years of post-related experience;
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Experience with state-of-the-art data science and analytical tools and relevant programming language;
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At least 3 years experience in data manipulation and exploration, including data cleaning, pre-processing, and exploratory data analysis;
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Proven practical experience in programming, data visualization, machine learning;
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Knowledge of Machine Learning, statistical and mathematical models and ability to effectively explain them to both technical and non-technical colleagues;
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Experience in using and applying the pre-trained machine learning models (for example Generative AI....) for specific use case;
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Planning, executing and maintaining data pipelines;
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A track record of delivering solutions that use leading technology to achieve desired results;
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Proven ability to effectively communicate orally and in writing;
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A Master's degree or higher at a nationally recognised/certified University in a relevant discipline (Data Science, AI engineering);
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Experience in data presentation tools e.g. Microsoft Power BI, Spotfire, Tableau, Kibana, Dash, Streamlit;
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Knowledge of DevOps best practices (git, Continuous Integration / Continuous Delivery pipelines etc);
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Experience with Cloud Computing.
This position is now closed.
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