Data Scientist

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities :

• Coordination and review of policy units’ business needs;
• Definition of solutions proposed for servicing policy units’ business needs;
• Interaction with the business analysts, customer, users, project leaders and the developers;
• Carry out ETL (Extract, Transform, Load) tasks;
• Creating, designing and developing data models;
• Analyse large datasets and propose approaches for optimisation of reporting;
• Assessment and quality control of data;
• Preparation of statistical analysis of data for use by policy officers and other stakeholders;
• Management and processing of data;
• Reporting of key indicators for different policy fields on the basis of data sets available;
• Development and maintenance of interactive dashboards in Power BI;

Qualifications

• Excellent knowledge of Data Analytics techniques and tools.
• Good knowledge of Power BI (including Power Query).
• Experience with one or more of the following:
• Machine Learning and Natural Language Processing.
• Languages like Visual Basic, SQL, ….
• Other business intelligence tools (SAP Business Objects, QlikSense, SAS…).
• ETL processes and tools (i.e. Azure Data Factory…).
• 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:

o predictive (forecasting, recommendation),

o prescriptive (simulation),

o sentiment analysis,

o topic detection,

o social media crawling and processing,

o trends/anomalies detection in datasets,

o recommendation systems.