Data Scientist

1 week geleden


Den Haag, Zuid-Holland, Nederland Europol Voltijd
Job Title: Data Scientist

Europol is seeking a highly skilled Data Scientist to join its Cyber Intelligence Team in the Digital Support Unit (DSU), European Cybercrime Centre (EC3), Operations Directorate.

Job Summary

The successful candidate will be responsible for supporting the operational activities related to the extraction, transformation, loading and enrichment of large datasets contributed by the EU Member States or collected from open sources. The Data Scientist will leverage data science methodologies to process large size datasets and help comprehensively analyse services offered in the cybercriminal ecosystem.

Key Responsibilities
  • Extract, transform, and load (ETL) large datasets contributed by the EU Member States or collected from open sources.
  • Prepare reports based on information from Member States on possible opportunities for Europol and the Member States to work together on specific intelligence and information.
  • Maintain close contact with the members of the Analysis Projects and/or other relevant partner agencies/organisations.
  • Keep up-to-date with relevant developments in cybercrime and technology that may impact the law enforcement environment.
  • Support the administration, maintenance, and technical management of various advanced tools operated by EC3 jointly with other EC3 colleagues and/or ICT.
  • Enhance Europol's ability to exploit criminal intelligence with the aim of supporting investigations of the Member States by implementing automatic enrichment and analysis of datasets.
  • Participate in meetings, working groups, and conferences and present analytical and technical results as and when required.
  • Provide on-the-spot operational support to specific operational enquiries and events if and when required.
Requirements

The ideal candidate will have a thorough knowledge of one of the languages of the European Union and a satisfactory knowledge of another language of the European Union. The candidate must also have at least three years of professional experience in the field of law enforcement which is relevant to the duties to be carried out during the secondment.

Selection Criteria
  • Professional experience: Essential
    • Experience with ETL-processes and related tools.
    • Experience using SQL (e.g. MySQL, MSSQL) and NoSQL (e.g. Elasticsearch, Apache Solr, MongoDB) databases.
    • Experience in programming and/or scripting required to process large volumes of data (e.g. Python).
  • Desirable
    • Experience investigating large datasets related to cyber dependent and/or cyber enabled crimes.
    • Experience with developing data science models applied to large datasets.
    • Experience in using advanced data science techniques such as machine learning, in particular in the area of Natural Language Processing.
  • Professional knowledge: Essential
    • Sound knowledge on cybercriminal modus operandi and how these manifests in data sets.
    • Sound knowledge of data science and data analysis techniques and methods to derive key cyber entities from datasets.
    • In-depth knowledge in SQL and NoSQL Databases.
    • In-depth knowledge of programming and/or scripting.
  • Desirable
    • Knowledge of legal frameworks related to data processing, such as GDPR and the Europol Regulation as well as the AI Act.
    • Knowledge of the law enforcement environment and practices in the field of cybercrime.
  • General competencies: Essential
    • Very good communication skills in English, both orally and in writing.
    • Ability to draft clear and concise documents on complex matters for various audiences.
    • Keen eye for detail with the ability to maintain standards of accuracy under pressure of tight deadlines.
    • Excellent analytical and critical thinking skills.
    • Competent user of Microsoft Office applications (MS Word, Excel, PowerPoint and Outlook) and the internet.
  • Delivering quality and results:
    • High degree of commitment and flexibility.
    • High level of customer and service-orientation.
  • Prioritising and organising:
    • Good administrative and organisational skills.
  • Resilience:
    • Ability to work well under pressure, both independently and in a team.
    • Very good interpersonal skills, including the ability to effectively liaise with other departments, groups, and teams as well as with external partners.
  • Living diversity:
    • Ability to work effectively in an international and multi-cultural environment.

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