Nairobi, Kenya or Kigali, Rwanda
The Global R&D Data Analyst will utilize experimental design and data science to analyze trials, surveys, and geospatial data to improve agricultural program outcomes. The role involves building decision-support tools, managing large datasets, and collaborating with program leaders to drive data-informed strategies. The successful candidate will act as a bridge between technical analysis and operational implementation to support smallholder farmers across Africa.
R, Python, Experimental Design, Data Science, Geospatial Analysis, Statistical Modeling, Machine Learning, Project Management, PostgreSQL, GIS (ArcGIS/QGIS), Git/GitHub, Communication
Health insurance, housing, and comprehensive benefits