18. Data Scientist

Lot 2: specialised external consultancy services in the field of information systems

Nature of the tasks

  • 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.

  • Scripting and programming.

  • 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.

Education : EQF6 focus on Data management

Specific expertise and technologies

  • 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

Certification and/or Standards

  • Not applicable

Skills

  • Ability to work in a team as well as autonomously

  • Results-oriented mindset, focused on delivering

  • Good communication skills in English, both orally and in written form

On-call services foreseen for this profile : No

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