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;
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• 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:
o Machine Learning and Natural Language Processing.
o Languages like Visual Basic, SQL, ….
o Other business intelligence tools (SAP Business Objects, QlikSense, SAS…).
o 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.
4. Certification and Standards
N/A
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).