C004091 Data Scientist

4 weken geleden

The Hague, Nederland EMW, Inc. Voltijd

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

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