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.
* Certification and Standards
* 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).
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