DATA SCIENTIST, P3
Job ID : 269348
Urban Resilience Hub by UN-Habitat's CRGPSwitzerland1 day ago
Full-timeEngineering, Information Technology
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Org. Setting and Reporting
Created in December 1999, the United Nations Office for Disaster Risk Reduction (UNDRR) is the designated focal point in the United Nations system for the coordination of efforts to reduce disasters and to ensure synergies among the disaster reduction activities of the United Nations and regional organizations and activities in both developed and less developed countries. Led by the United Nations Special Representative of the Secretary-General for Disaster Risk Reduction (SRSG), UNDRR has over 160 staff located in its headquarters in Geneva, Switzerland, and in regional offices. Specifically, UNDRR guides, monitors, analyses and reports on progress in the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, supports regional and national implementation of the Framework and catalyzes action and increases global awareness to reduce disaster risk working with UN Member States and a broad range of partners and stakeholders, including civil society, the private sector, parliamentarians and the science and technology community. To accelerate risk-informed policy, investment, and private-sector engagement, UNDRR is seeking a highly skilled data scientist with strong technical expertise in statistical modeling and risk analytics. The Data Scientist will play a central role in developing and operationalizing analytical workflows that support UNDRR’s Global Assessment Reports (GAR) and related knowledge products, as well as broader risk metrics initiatives. This position is located in the Global Risk Assessment and Reporting Section of the Risk Knowledge Branch, and reports to the head of Section. The focus of this job is to use internal and external data for evidence-based decision support by looking at historical trends, current data and predictions, with a particular emphasis on assessing and modeling risk.
Responsibilities
Competencies
Education
Job - Specific Qualification
Work Experience
Languages
Assessment
Special Notice
United Nations Considerations
No Fee
Apply Now
Created in December 1999, the United Nations Office for Disaster Risk Reduction (UNDRR) is the designated focal point in the United Nations system for the coordination of efforts to reduce disasters and to ensure synergies among the disaster reduction activities of the United Nations and regional organizations and activities in both developed and less developed countries. Led by the United Nations Special Representative of the Secretary-General for Disaster Risk Reduction (SRSG), UNDRR has over 160 staff located in its headquarters in Geneva, Switzerland, and in regional offices. Specifically, UNDRR guides, monitors, analyses and reports on progress in the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, supports regional and national implementation of the Framework and catalyzes action and increases global awareness to reduce disaster risk working with UN Member States and a broad range of partners and stakeholders, including civil society, the private sector, parliamentarians and the science and technology community. To accelerate risk-informed policy, investment, and private-sector engagement, UNDRR is seeking a highly skilled data scientist with strong technical expertise in statistical modeling and risk analytics. The Data Scientist will play a central role in developing and operationalizing analytical workflows that support UNDRR’s Global Assessment Reports (GAR) and related knowledge products, as well as broader risk metrics initiatives. This position is located in the Global Risk Assessment and Reporting Section of the Risk Knowledge Branch, and reports to the head of Section. The focus of this job is to use internal and external data for evidence-based decision support by looking at historical trends, current data and predictions, with a particular emphasis on assessing and modeling risk.
Responsibilities
Competencies
Education
Job - Specific Qualification
Work Experience
Languages
Assessment
Special Notice
United Nations Considerations
No Fee
Apply Now
Key Skills
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