EC Data Scientist L(1-10)

For out client EC we are looking for Data Scientist

1. DESCRIPTION OF THE TASKS

Following tasks will be performed by external service provider:

• 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;
• Assistance with data management aspects of IT projects developed in DG GROW.

2. KNOWLEDGE AND SKILLS

Following skills and knowledge are required for the performance of the above listed tasks:

• Very good knowledge of reporting and statistics
• Ability to provide ad hoc reports efficiently and fast
• Ability to give business and technical presentations
• Ability to apply high quality standards
• Ability to cope with fast changing technologies used in reporting (currently focused on Power BI)
• Very good communication skills with technical and non-technical audiences
• Analysis and problem solving skills
• Capability to write clear and structured technical documents
• Ability to participate in technical meetings and good communication skills

3. Specific Expertise

Following specific expertise is mandatory for the performance of tasks:

• 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:
  • predictive (forecasting, recommendation),
  • prescriptive (simulation),
  • sentiment analysis,
  • topic detection,
  • social media crawling and processing,
  • trends/anomalies detection in datasets,
  • recommendation systems.

4. Certification and Standards

5. Service Delivery

The services shall be performed remotely in Near-site location allowing to reach the Commission premises in Brussels within 2 hours.

Laptop will be provided by the Commission.

The external service provider may be requested to participate in the meetings with the Commission’s services in Brussels (and exceptionally in other locations).