Assistant Data Scientist

UNHCR’s registration system (proGres) exists to establish the identity of refugees and other forcibly displaced and stateless persons upon first encounter. This is essential to deliver protection and assistance subsequently. Registration data covers biographical data, demographic characteristics, socio-economic variables, and specific needs. Registration data underpins critical delivery of services from cash delivery to travel to third countries for resettlement. In a number of countries, UNHCR registration data serves as KYC (know-your-customer) data. UNHCR’s registration system (proGres) includes 17 million registered individuals and is managed by over 15,000 operators worldwide, covering over 130 countries.
To ensure the quality of the data contained in this system and to maintain the integrity of the data, the use of data science techniques is increasingly sought after, for instance, to identify outliers, including in the context of fraud detection. To this effect, data science methods need to be developed and implemented to advance on integrity, including faster detection of potential duplicates or the unusual use of the system itself.
In addition, proGres is used by UNHCR teams around the world to support the identification of refugees for the purpose of finding solutions, such as resettlement to third countries. This is presently done using qualitative data and interview processes. For the purpose of this assignment, data science models will be scoped to predict the probability of individuals to be successful in a resettlement process, thereby allowing for a segmentation approach and shortening the overall identification period for the majority of the individuals under consideration.
Duties and responsibilities:
In order to carry out this function, the Assistant Data Scientist will have the following duties:

Monitoring and Progress Controls
Main deliverables:

Qualifications and Experience:
Education: