Geospatial Data Scientist

1h1 hour ago

VIDA

KE · Full-time · KES 2,500,000 – KES 5,000,000

About this role

We are looking for an enthusiastic Geospatial Data Scientist who has borderless thinking and gets their thrills from creating scalable spatial workflows. Becoming part of our Data Solutions team means joining a journey of challenging work at the intersection of data and social impact. You'll thrive by finding innovative solutions in development-centered projects, especially around energy.

Your day-to-day involves applying VIDA’s spatial analysis tools and preparing software for real-life projects ranging from energy access planning to agriculture or climate risk assessment. You'll improve, automate, and extend workflows with Python and SQL scripting, while exploring, pre-processing, and integrating new datasets and map layers. Additionally, you'll explore and implement new spatial data analysis methods using Machine Learning and sector-specific modelling frameworks.

You'll ensure clear documentation, reporting, and communication across all project phases, making project outputs meet technical quality standards and accessible to end-users. You'll interact with international project partners and clients, preparing and presenting work in reports and presentations in English and French. You'll also facilitate workshops, trainings, and meetings to ensure alignment and adoption of project outcomes.

Engage directly with global customers and make a meaningful real-life impact in sustainable and inclusive energy access in the Global South, especially in Africa. Thrive in dynamic, multi-country contexts as a dedicated team player who stays connected through good communication. Adopt AI tools with initiative to enhance efficiency and innovation in daily workflows.

Requirements

Master’s degree or equivalent qualification in energy / engineering / science with a focus on spatial data analysis
Minimum 3-5 years of professional experience in geospatial data analyses with knowledge of data structures, algorithms, tools, and fundamentals of statistics and mathematics
Minimum 1-2 years of professional experience in energy access projects and with energy sector planning tools (e.g., least-cost electrification models, demand forecasting)
Proficiency in Python for geospatial data analysis (e.g. geopandas, shapely, rasterio, gdal)
Experience with Geographic Information Systems (for example QGIS, ArcGIS)
Fluency in French (oral and written), as much as English
Experience with writing technical reports around geospatial data analyses
Comfort and initiative in adopting AI tools for coding, analysis, or documentation

Responsibilities

Apply VIDA’s spatial analysis tools and prepare software for real-life projects ranging from energy access planning to agriculture or climate risk assessment
Improve, automate, and extend workflows with Python and SQL scripting
Explore, pre-process, and integrate new datasets and map layers into the VIDA software
Explore and implement new spatial data analysis methods using Machine Learning and sector-specific modelling frameworks
Ensure clear documentation, reporting, and communication across all project phases
Ensure project outputs meet technical quality standards and are accessible to end-users
Interact with international project partners and clients and prepare/present work in reports and presentations in English and French
Facilitate workshops, trainings, and meetings to ensure alignment and adoption of project outcomes in English and French