Data Scientist

☞ COSMOTE GLOBAL SOLUTIONS NV

Vue: 100

Jour de mise à jour: 04-11-2025

Localisation: Brussels Brussels Capital

Catégorie: IT - Logiciel IT - Matériel / Réseaux Informatique

Industrie:

Type d’emploi: Full-time

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le contenu du travail

COSMOTE Global Solutions, as a member of OTE Group of Companies, is an ICT Systems Integrator delivering a broad range of ICT Solutions and Services.

CGSprovides a broad range of ICT Services focusing on: Cloud, Data Centre operations, Networking, Cybersecurity, BI and Data Warehouse, Big Data, Service Desk, Proactive Monitoring, Operations and Support, Service Management, Project and Programme Management, and Professional Services.

Responsibilities:

  • Collect business requirement and develop advanced data mining solutions or identify, assess, and deploy relevant existing data mining, machine learning and business intelligence solution
  • Specification and design of presentation interfaces with optimal usability/user experience
  • Identify, collect, convert and update different data types/sets in several locations (e.g. ETL)
  • Produces data models according to specific problems statements.
  • Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc…)
  • Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
  • Scripting and programming.

Requirements

  • Bachelor degree in relevant field of interest.
  • Excellent knowledge of Data Analytics techniques and tools.
  • Experience in Machine Learning and Natural Language Processing.
  • Experience with languages like R, Python, PERL.
  • Proficient in continuous code delivery and unit testing
  • Good knowledge of business intelligence tools (Tableau, SAS, SAP, GoodData…)
  • Expertise in the ETL processes and tools (i.e. Talend Open Studio…)
  • Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL)
  • Knowledge of architectural design and implementation of scalable modern data stores.
  • Knowledge in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems.
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Date limite: 19-12-2025

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