The DRMKC team is looking for a data scientist to help us to discover the information hidden in vast amounts of data that can support the decision making process in Disaster Risk Management. The primary focus will be in applying data mining techniques, performing statistical analysis, and building high quality prediction systems integrating data collected at different scales from local to regional and up to a Pan-European Scale.
The selected candidate will contribute to the assessment of the data and science landscape for the different DRM phases:
- S/he will gain an overview of all potential sources, identify the scope and the type of data required to fulfil the knowledge gap in understanding disaster risks, facilitate acquisition, storing and modelling of the data.
- S/he will undertake pre-processing of structured and unstructured data, analyze large amounts of information to discover trends and patterns, build predictive models and machine-learning algorithms and combine models through ensemble modelling.
- S/he will support in preparing analytical situation reports, scenario building, policy briefs and customizing them for the targeted audience (e.g. policy makers, operational bodies, academia, citizens). S/he will leverage information design concepts and principles to create compelling and effective charts, tables, presentations and other visuals that convey analytical results clearly and effectively.
Code: 2021-IPR-E1-FGIV-019508
Title: FG IV - Programme Officer - Data scientist for the DRMKC support to the Science pillars of the Union Civil Protection Knowledge Network
Deadline: 31/01/2022 Brussels time
Info: https://recruitment.jrc.ec.europa.eu/showprj.php?type=A&id=2156
