Global Pulse is a UN innovation initiative harnessing new digital data to help the public sector understand sooner how communities are coping with the impacts of global crises. To this end, Global Pulse is developing a 21st-century approach to impact monitoring, building social software for evidence-based decision making, and establishing a network of “Pulse Labs” to mainstream the use of real-time data analysis into development policy. Pulse Labs are national facilities established to support the public sector by developing analytical and technological capacity for harnessing real-time data to strengthen social protection. The overarching objective of Global Pulse is to mainstream the use of data mining and real-time data analytics into development organizations and communities of practice.
To achieve its goals, Global Pulse is looking for a Data Scientist intern to work in the Global Pulse New York Lab. The Data Scientist intern will be a part of the team that will work to apply data mining techniques (anomaly detection, association learning, cluster detection, classification, and predictive modelling) to create actionable insights from a broad range of structured and unstructured data that is growing rapidly in scale. The Data Scientist intern will assist with the acquisition, analysis and visualization of data from a variety of sources in order to: i) help understand emerging human vulnerabilities to socio-economic shocks, ii) detect and highlight patterns that could indicate how people are coping with emerging hardship, and iii) gather evidence of changes in behavior and perception correlated with public sector policies and programmes.