Data Scientist


About the organization

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.

Founded over 50 years ago, TechnoServe has been named the #1 nonprofit for fighting poverty by the ImpactMatters charity ratings agency.


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 Data Science Analyst 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. The Data Science Analyst will collaborate on efforts to identify best practices in data management and lead workstreams related to standardizing database designs. The position will bring greater efficiency and ease of data use to the organization, fostering greater engagement with the evidence guiding our impact. The ideal candidate would have a working knowledge of SQL, Java, and JavaScript to support the integration between systems and provide basic updates and maintenance to existing systems.


- Undergraduate degree in data science, statistics, engineering or similar plus three years experience; or advanced degree plus one year 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.
 killed 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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