Data Scientist
Il y a 5 mois
Spektrum have a wide range of exciting opportunities in several global locations.
We are always looking to add great new talent to our team and look forward to hearing from you.
**Who we are supporting**
The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium.
The NCIA provides a wide range of services, including:
- Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats.
- Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations.
- Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces.
- Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks.
Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities.
**The program**
**Assistance and Advisory Service (AAS)**
The NATO Communications and Information Agency (NCI Agency) is NATO's principal C3 capability deliverer and CIS service provider. It provides, maintains and defends the NATO enterprise-wide information technology infrastructure to enable Allies to consult together under Article IV, and, when required, stand together in the face of attack under Article V.
In order to provide these critical services, in the modern evolving dynamic environment the NCI Agency needs to build and maintain high performance engaged workforce. The NCI Agency workforce strategically consists of three major categorises: NATO International Civilians (NIC)s, Military (Mil) and Interim Workforce Consultants (IWC)s. The IWCs are a critical part of the overall NCI Agency workforce and make up approximately 15 percent of the total workforce.
**Role Duties and Responsibilities**
Under the direction of the Section Head, they will perform duties such as:
- Applies existing data science techniques to new problems and datasets using specialised programming techniques to meet the 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;
- Deputize for higher grade staff, if required;
- Perform other duties as may be required.
**Professional Contacts**:
The are responsible for:
- Active engagement with colleagues across the Agency;
- Supporting engagement with stakeholders, including industry and academia.
**Essential Skills and Experience**
- Experience with state-of-the-art data science, analytics and data integration tools.
- Use of data science tools to support data analytics and data visualisation;
- Experience involving supporting data focused operations in a technical organisation. Such experience should encompass at least 2 skills listed below:
- Experience of working within a Big Data ecosystem, with tools such as DataBricks, Spark etc;
- Planning, executing and maintaining data pipelines;
- Knowledge of Machine Learning, statistical and mathematical models and ability to effectively explain them to both technical and non-technical colleagues;
- Proven ability to effectively communicate orally and in writing
**Education**
- 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;
**Desirable Experience and Education**
- A Master's degree or higher at a nationally recognised/certified University in a relevant discipline (Data Science, AI engineerin
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