C004395 Data Scientist (NS) - THU 23 Oct at EMW, Inc.

The Hague, South Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Data Visualization, Programming, Data Manipulation, Data Cleaning, Exploratory Data Analysis, Statistical Models, Cloud Computing, Data Pipelines, AI, Data Presentation Tools, DevOps, NATO SECRET Clearance, Communication

Industry

Advertising Services

Description

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 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. Skill, Knowledge & Experience: The candidate must have a currently active NATO SECRET security clearance 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; 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 Master's 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

Responsibilities

The Data Scientist will apply existing data science techniques to new problems and datasets, evaluate model outcomes, and support the development of data pipelines. The role involves contributing to machine learning initiatives and maintaining the Agency's data lakes.