Subscribe to Job Alert
Join our happy subscribers
Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us
The World Agroforestry Centre, is an international institute headquartered in Nairobi, Kenya, and founded in 1978. The Centre specializes in the sustainable management, protection and regulation of tropical rainforest and natural reserves.
Overview
We are looking for a Spatial Data Scientist with strong machine learning analytics experience. The position falls under the Spatial Data Science and Applied Learning Lab (SPACIAL) of CIFOR-ICRAF. If you have a background in GIS, spatial data analysis, including remote sensing (satellite data analysis, drone data processing), this position might be for you. You will need a strong background in working on the development and deployment of machine learning models based on remote sensing data (e.g. satellite data). Spatial data science tasks will include data analysis using R Statistics, Python, Julia, and QGIS. A background in the maintenance and use of SpatioTemporal Asset Catalogs (STACs) would be a bonus. Tasks will include identification of data analytics problems, cleaning, and validation of data to ensure accuracy, completeness, and uniformity, and machine learning tasks. The position will support multiple themes and units within CIFOR-ICRAF on scientific project tasks, particularly around access to and use of spatial data, database development and management, report writing, and scientific publications. The position will also supervise junior data scientists, interns, and students.
Summary of responsibilities
Requirements
Personal attributes and competencies:
Build your CV for free. Download in different templates.
Join our happy subscribers