Data Scientist


About the organization

Founded over 50 years ago, TechnoServe is a leader in harnessing the power of the private sector to help people lift themselves out of poverty. A nonprofit organization operating in 29 countries, we work with enterprising men and women in the developing world to build competitive farms, businesses and industries. By linking people to information, capital and markets, we have helped millions to create lasting prosperity for their families and communities.


TechnoServe’s Impact team is a dynamic and growing unit of global experts in monitoring and evaluation and business insights data, with the mandate of providing highest quality evidence to support decision-making in our projects around the world. We support the use of logical frameworks, timely data reporting, and rapid feedback loops to guide program design and adaptive management. Our work is matrixed with every other business unit in the organization, and we actively coordinate with teams across the office and around the world to support data flow and data use.

The Sr. Analyst, Data Science supports the Impact Team and other key functional units with first class data management, data analysis, and data visualizations to foster insights about our work. TechnoServe maintains 2 data reporting systems across our 29 country offices: Corporate Measurement for vetting, aggregating, and publishing our impact externally, and Progress Status Reports for internally monitoring the status of projects.


This job is right for you if you bring a blend of experience in data analytics, processing, and software programming to support data management.  

Basic Qualifications: 

Undergraduate degree in data science, statistics, engineering or similar plus five years experience; or advanced degree plus one three years experience. 
Excel or Google sheets whiz; conversant in a data visualization software (Tableau, PowerBI, etc.). 
Capable of using APIs and other backend software to automate data migration between platforms.
Skilled at creating straightforward, simple and powerful data visualizations. Think The Economist, not Information is Beautiful.
Experience in data analytics for business insights, monitoring & evaluation, or other business needs that leverage large, complex and often messy datasets.

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Equal Opportunity Employment

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