C004091 Data Scientist (NS) - WED 5 Mar

Deadline Date:               05 March 2025

Requirement Title:      Data Scientist

Location:                          The Hague, Netherlands

Full time on-site:           Yes       

Total Scope of the request (hours):     836

Required Start Date:    13-APR-2025

End Contract Date:       31-DEC-2025

Required Security Clearance:  NATO Secret

Specific Working Conditions:  n/a

Duties and Role

• Applies existing machine learning techniques to new problems and datasets. *
• Evaluates the outcomes and performance of machine learning systems. *
• Identifies issues and recommends improvements to machine learning systems and the data they use. Programming *
• Designs, codes, verifies, tests, documents, amends and refactors moderately complex programs/scripts. *
• Applies agreed standards and tools to achieve a well-engineered result. *
• Monitors and reports on progress. *
• Identifies issues related to ML development activities. *
• Proposes practical ML solutions to resolve issues. *
• Collaborates in reviews of work with others as appropriate. Systems and software / ML life cycle engineering *
• Elicits requirements for systems and software / ML life cycle working practices and automation. *
• Selects systems and software / ML life cycle working practices for components and micro-services. *
• Deploys automation to achieve well-engineered and secure outcomes. Systems integration and build *
• Defines the ML modules needed for an integration build and produces a build definition for each generation of the solution. *
• Accepts completed ML modules, ensuring that they meet defined criteria. Data science *
• Applies existing data science techniques to new problems and datasets using specialised programming techniques. *
• Evaluates the outcomes and performance of data science models. *
• Identifies and implements opportunities to train and improve models and the data they use. Data engineering *
• Applies data engineering standards and tools to create and maintain data pipelines and extract, transform and load data. Emerging technology monitoring *
• Supports monitoring of the external environment and assessment of emerging technologies.
• Contributes to the creation of reports, technology road mapping and the sharing of knowledge and insights.

Requirements

• NATO Secret security clearance
• Strong understanding of machine learning concepts, statistical analysis techniques and ability to effectively explain them to both technical and non-technical colleagues.
• Hands-on experience in programming, machine learning and software engineering.
• Application of state-of-the-art data science and analytical tools and relevant programming languages (python with its Data Science frameworks, e/g/ pytorch/tensorflow, huggingface, langchain, autogen, pandas/polars, pySpark, scikit-learn…)

Additionally, at least 3 of the following items to be met:

• Experience with developing, optimizing and maintaining AI pipelines.
• Experience in measuring model performance and assessments.
• Experience in using and applying the pre-trained machine learning models (for example Generative AI) for specific use case.
• Experience with Version Control, MLOps (train, package, deploy, monitor) and CI/CD.
• Experience with container technologies (e.g. Docker) and orchestration (Kubernetes).
• Experience with workflow orchestration (e.g. Airflow, Argo etc.).
• Experience with REST API development.
• Experience with front-end development