TERMS OF REFERENCE
Data Fellow (Front-End Developer)
The Humanitarian Data Exchange
Position Title: Data Fellow (consultant)
Duration: 3-6 months
Date of Entry: As soon as possible
Location: Home based
The Humanitarian Data Exchange (HDX) is OCHA’s open data platform for sharing humanitarian data. The goal of HDX is to make humanitarian data easy to find and use for analysis. Launched in July 2014, HDX has been accessed by users in over 200 countries and territories and hosts over 4,000 datasets from 250 partner organizations.
The work of HDX is supported by a distributed group developers and data scientists who ensure the platform supports optimal data sharing and transformation. As more data is added to HDX, one of our main objectives is to increase the number of datasets that have corresponding visualizations.
To do this, we require a talented front-end developer to work on the team as a Data Fellow. We are looking for a recent graduate, PhD candidate or postdoctoral researcher who loves to build beautiful data visuals and is excited about the potential of data to improve humanitarian decision making.
The Data Fellow could be based in New York, Geneva or remotely.
The consultant will report to the Head of the HDX Data Team. He/she will liaise closely with the HDX Production Manager, the Head of the HDX Development Team and the HDX Data Lab Manager in Nairobi.
Working with HDX, the Data Fellow would be responsible for the following:
- Participate in the review and assessment of partner humanitarian datasets with a view to automating data flows from external systems to HDX.
- Apply data mining techniques to the datasets in the platform and convert data into actionable insights.
- Develop interactive charts and visualizations that maximize the value of the data.
- Support ad hoc analysis and other information management tasks on demand with partner organizations.
- Work with HDX data contributors and data consumers to identify new projects and areas of opportunities for data integration and backend development.
- Present visualizations to technical and non-technical audiences.
- Participate in team meetings as required.
Education: A first level university degree in statistics, mathematics, economics, computer science or a related field is required.
Language: Fluency in English is required (both oral and written). Knowledge of another UN official language is an advantage.
How to apply
In order to be considered for this position please create a profile here