Data for development: The talent needed now

By Kelli Rogers 28 April 2015

Attendees at the Cartagena Data Festival come together to learn and share best practices in the use of big and open data. Photo by: Overseas Development Institute / CC BY-NC

Many development organizations are already jumping on the big data bandwagon when it comes to hiring, according to Emmanuel Letouzé, director and co-founder of Data-Pop Alliance. They’re bringing on a few data scientists and putting them to work on pilot projects.

But this isn’t the most effective way to build data science into an organization, he told Devex at the Cartagena Data Festival last week, and it would be all too easy to lose this talent to Google or Facebook.  

Rather than hiring for the sake of hiring, the development community needs to take a step back and first look at the current gaps in talent.

READ: Traditional vs. citizen-generated data: Is it a case of either-or?

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About the author

Mechosen
Kelli Rogers@kellierin

In her role as associate editor, Kelli Rogers helps to shape Devex content around leadership, professional growth and careers for professionals in international development, humanitarian aid and global health. As the manager of Doing Good, one of Devex's highest-circulation publications, she is constantly on the lookout for the latest staffing changes, hiring trends and tricks for recruiting skilled local and international staff for aid projects that make a difference. Kelli has studied or worked in Spain, Costa Rica and Kenya.


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