Data Scientist
COSMOTE GLOBAL SOLUTIONS NV, Belgium

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.

CGS provides 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.