C004395 Data Scientist (NS) THU 23 Oct
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Job Location:
The Hague - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Deadline Date: Thursday 23 October 2025
Requirement: Data Scientist
Location: The Hague NL
Full Time On-Site: Yes
Time On-Site: 100%
Total Scope of the request (hours): 300
Required Start Date: 28 November 2025
End Contract Date: 31 December 2025
Required Security Clearance: NATO SECRET
Duties & Role:
Under the direction of the Section Head the incumbent will perform duties such as:
- 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 Agencys 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.
Requirements
Skill Knowledge & Experience:
- The candidate must have a currently active NATO SECRET security clearance
- A minimum requirement of a Bachelors 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;
- Experience with state-of-the-art data science and analytical tools and relevant programming language
- At least 3 years experience in data manipulation and exploration including data cleaning pre-processing and exploratory data analysis.
- Proven practical experience in programming data visualization machine learning.
- Knowledge of Machine Learning statistical and mathematical models and ability to effectively explain them to both technical and non-technical colleagues;
- Experience in using and applying the pre-trained machine learning models (for example Generative AI....) for specific use case.
- Planning executing and maintaining data pipelines;
- A track record of delivering solutions that use leading technology to achieve desired results.
- Proven ability to effectively communicate orally and in writing.
Desirable Experience and Education:
- A Masters degree or higher at a nationally recognised/certified University in a relevant discipline (Data Science AI engineering);
- Experience in data presentation tools e.g. Microsoft Power BI Spotfire Tableau; Kibana; Dash; Streamlit;
- Knowledge of DevOps best practices (git Continuous Integration / Continuous Delivery pipelines etc)
- Experience with Cloud Computing
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
EMW provides lifecycle Systems Engineering and Technical Assistance (SETA), Engineering and Installation (E&I), Operations and Maintenance (O&M), Force Protection Technologies and Contractor Recruitment Services across the fields of Defense, Health Information Technology, Cyber Securi ... View more
