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Data Science Research Analyst


Global Pulse is a flagship innovation initiative of the United Nations Secretary-General on big data. Its vision is a future in which big data and AI are harnessed and used responsibly as a public good. Its mission is to accelerate discovery, development and scaled adoption of data innovation for sustainable development and humanitarian action. To this end, Global Pulse will work to promote awareness of the opportunities Big Data presents for sustainable development and humanitarian action, forge public-private data sharing partnerships, generate high-impact analytical tools and approaches through its network of Pulse Labs, and drive broad adoption of useful innovations across the UN System.

Global Pulse implements data innovation programs through its Pulse Labs to provide UN and development partners with access to the data, tools and expertise required to discover new uses of big data and AI for development. Global Pulse develops toolkits, applications and platforms to improve data-driven decision-making and support evaluation of promising solutions.

Responsibilities

Under the direct supervision of the Chief Data Scientist, the incumbent will execute the following duties:

  • Support the design and implementation of research projects harnessing data science to improve both understanding of population behavior, needs, and vulnerabilities as well as capacity to monitor and evaluate the impacts of public sector policies and programmes;      

  • Coordinate data science projects with multiple partners including UN agencies, government entities, the private sector and academia;

  • Document scientific advances in data science and artificial intelligence including sectoral deep dives in fields like health;

  • Assist in analyzing big data sources and using data science techniques to detect events and trends within real-time data sources such as online media, social networks, imagery, geospatial data, communications logs, transaction records, etc.;

  • Implement software required for accessing, cleaning, handling, analyzing and modeling data;

  • Perform statistical analysis required to assess the validity of results in data for development and humanitarian response projects;      

  • Liaise with technical partners from UN agencies, private sector and academia when required;     

  • Produce high quality written technical and scientific reports;

  • Support the development of project proposals and concept notes;

  • Prepare presentations and communication materials as required;

To read more and apply, please click here.