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📍 Geneva, Switzerland

Data Scientist Programme Officer

📍 On-site 📊 Data & AI full time Mid Level
Required Skills
About the Role

VN Mobility: Data Scientist Programme Officer (P)

Location: Geneva, Switzerland

Introduction

Established in 1951, IOM is a Related Organization of the United Nations and the leading UN agency in the field of migration. Working closely with governmental, intergovernmental and non-governmental partners, IOM promotes humane and orderly migration for the benefit of all. It saves lives and protects people on the move, drives solutions to displacement, and facilitates pathways for regular migration, while providing services and advice to governments and migrants. 

IOM is committed to fostering a respectful, inclusive and supportive workplace where all employees can thrive professionally and feel valued. By creating such an environment, IOM aims to better harness the full potential of migration and strengthen its support to people on the move.

IOM invites candidates from diverse backgrounds to apply and provides reasonable accommodation throughout the recruitment process when required. Learn more about IOM’s workplace culture at IOM workplace culture | International Organization for Migration

This Vacancy Notice is part of IOM’s competitive mobility exercise, open for applications from internal and internal-equivalent candidates only. 

Organizational Context and Scope

Under the overall supervision of the Head of the Protection Unit and the direct supervision of the Data Analysis Officer, the Data Scientist Programme Support Officer will be responsible for supporting the development and roll-out of the first international standards and guidance on human trafficking administrative data, as well as the supporting production of new evidence based of such data.

IOM, UN Migration Agency in Geneva, Switzerland is looking for Data Scientist Programme Support Officer will be responsible for supporting the development and roll-out of the first international standards and guidance on human trafficking administrative data, as well as the supporting production of new evidence based of such data.
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