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DATA Scientist, P3Job

Job in Genf, Geneva, Switzerland
Listing for: Urban Resilience Hub by UN-Habitat's CRGP
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Scientist, Data Security
Salary/Wage Range or Industry Benchmark: 150000 - 200000 CHF Yearly CHF 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: DATA SCIENTIST, P3Job ID : 269348
Location: Genf

Overview

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.

Role

We are 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.

Responsibilities

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.

Qualifications

Highly skilled data scientist with strong technical expertise in statistical modeling and risk analytics.

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