Senior Data Scientist - Retainer

Job categories IT
Vacancy code VA/2021/B5011/21352
Level ICS-10
Department/office GPO, NYPO, UN Technology Support Services
Duty station Home based
Contract type International ICA
Contract level IICA-2
Duration Up to 240 days in 12 months with possibility of extension (Retainer Modality)
Application period 04-Mar-2021 to 18-Mar-2021


Applications to vacancies must be received before midnight Copenhagen time (CET) on the closing date of the announcement.

Please note that UNOPS will at no stage of the recruitment process request candidates to make payments of any kind.

This vacancy is closed.
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The United Nations Office for the Coordination of Humanitarian Affairs (OCHA) has a Centre for Humanitarian Data in The Hague, the Netherlands which is focused on increasing the use and impact of data in the humanitarian sector. The vision is to create a future where all people involved in a humanitarian emergency have access to the data they need, when and how they need it, to make responsible and informed decisions. The Centre has four workstreams: data services (managing the Humanitarian Data Exchange platform), data responsibility, data literacy and predictive analytics.

An area of emerging interest in the humanitarian sector is predictive analytics: asking what will happen in a particular humanitarian context and using machine learning and the application of statistical modelling to arrive at an answer. The Centre initiated its work on predictive analytics through our 2018 and 2019 Data Fellows Programme, and has continued to invest in this area through research into the development of models related to different aspects of humanitarian response. In September 2019, the Centre created a new workstream for predictive analytics with a focus on three areas: model development, a peer review process for partner models, and community and capacity building.

The Centre is seeking to expand its team with a Senior Data Scientist who has the skills and experience to assess available models, develop new models and generate recommendations for their use in anticipatory action. We are looking for a candidate who is self-motivated and can thrive in an international, multidisciplinary team. The right candidate has the skills and abilities to develop analytical models designed to turn data into action, be proficient with the methods of humanitarian data research, and think strategically about how to use data to create value for humanitarian emergency and crisis response.

Reporting Relationships
The Senior Data Scientist will report to the Predictive Analytics Team Lead under the overall direction of the Lead for the Centre for Humanitarian Data. She or he will be expected to work closely with the rest of the Centre team.


-          Research partner models ...

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Please note that the closing date is midnight Copenhagen time Applications r...
This vacancy is closed.
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