Our Requirement:

Title: Analyst (Data Science) – NATO 2030

Duty Location: Brunssum, The Netherlands

Requirement filling date: as soon as possible

Closing date for applications: 9 April 2023

Our organisation

Joint Force Command Brunssum (JFCBS) provides a Joint headquarters to plan, prepare and conduct operations to support NATO’s core tasks, at the Joint Operational level, as directed by Supreme Allied Commander Europe (SACEUR).

The Operations Directorate is responsible for directing, monitoring, coordinating and assessing operational functions and advising the Chief of Staff (COS) regarding all regionally focused operational activities. The Joint Assessment Division is responsible for the gathering of evidence to provide formal feedback on the progress and results of an operation, inform decision-making and make adjustments to the plan. The Campaign Assessment Branch focuses on assessing the long-term planning-horizon in order to support operations planning.

The incumbent provides tailored analytics, using a variety of data sources, to extract value from NATO operational data and enable the HQ to make better, faster decisions within the assessment process.

The Analyst (Data Science):

– Provides the Joint Assessment Division with analytics products through the application of data science techniques, including statistics, data mining and machine learning.

– Conducts analytical studies to support decision-making in areas such as hybrid threats and for customers such as J2, J3, J4, J6, J9, COMMS Division and JMED.

– Advises and supports divisions in helping to prepare and store operational data in order to process, analyse and learn from the data.

– Supports the development of HQ processes and procedures related to data science are coordinated and aligned with all NATO policies and procedures.

– Works with NCIA data engineers to ensure operational data is available for analytical purposes.

– Contributes to the evaluation of data science analysis trial in JFCBS.

– Supports the identification of JFCBS requirements in support of NATO’s data exploitation programme of work and other future data science & AI capabilities.

– Enables a data-driven culture in the HQ that uses analytics to generate insights, inform operational decisions and improve performance.

– Supports the identification of issues and lessons learned relating to data science are captured, managed, analysed and available as appropriate.

– Undertakes work as part of a project team or working group as directed or assigned.

The work is normally performed in a normal NATO office-working environment.

Normal Working Conditions apply.

Required Qualifications

– University Degree in information technology, economics, statistics, operations research or related discipline with 2 years related experience OR

Higher Secondary education and completed advanced vocational training in related field/discipline leading to a professional qualification or accreditation with 4 years related experience.

– Experience in applying data science tools to support advanced data analytics, machine learning and data visualisation.

– Experience in planning and executing the data science lifecycle: ingestion, pre-processing, analysing, post-processing and visualisation.

– Experience applying data science, analytics and data integration tools/programming languages on real-world datasets e.g. Python, R, KNIME, Splunk.

– Proven knowledge of mathematical and statistical models.

– Experience of use of data visualisation tools e.g. Microsoft Power BI, Spotfire, Tableau.

– English – good – NATO Standard Language Proficiency 3333

(Listening, Speaking, Reading and Writing) in accordance with NATO standard agreement (STANAG) 6001.

NOTE: The work both oral and written in this post and in this Headquarters as a whole is conducted mainly in English.

Desirable Qualifications

– Experience in briefing and communicating analytical products with senior military and civilian staff.

– Experience with AI and or Machine Learning Tools e.g. Watson, Microsoft Cognitive Toolkit, TensorFlow.

– Practical experience using big data ecosystems e.g. Hadoop, Spark, MapReduce.

– Knowledge of NATO software application services used at operational level, e.g. TOPFAS, LOGFAS, NCOP, JOCWatch, AOSS, INTEL FS, EDMS.

– Advanced degree in data science/data analytics or closely related field.

– Knowledge of joint and/or combined operations at both operational and tactical levels.

Personal Attributes

The successful candidate possesses following competencies/personal attributes:

• Excellent communication skills, both oral and written – able to communicate at all levels;
• Very good interpersonal skills;
• Innovative – driven – sound judgement;
• Excellent organizational skills.

This temporary requirement is in support of the NATO 2030 project.

The successful selected candidate needs to have a NATO security clearance and is required to pass a limited medical examination before an employment contract offer will be released. Initially an employment contract until 31 December 2023 will be offered. Follow-up contracts after this date may be offered, subject to approval.

The remuneration will be specified in the employment contract, this remuneration is not exempt from taxation.

Due date for receipt of applications: Sunday 9 April 2023

Candidates have to apply electronically in NATO Talent Acquisition Program:

https://nato.taleo.net/careersection/2/jobsearch.ftl?lang=en

Please be aware that a Selection Board will assess the information provided in the job submission form including the answers to the pre-screening questions. Attachments are supporting documents and should not be referred to in the application form.