Geospatial Data Scientist - Energy Access

Core responsibilities:

• Apply VIDA's spatial analysis tools and prepare software for real-life energy access planning projects
• Improve, automate, and extend workflows with Python and SQL scripting
• Explore, pre-process, and integrate new datasets and map layers into VIDA software
• Explore and implement new spatial data analysis methods, including Machine Learning and sector-specific modeling frameworks

This role creates positive change by contributing GIS-based analytical work for energy access projects in developing countries, translating geospatial insights into practical planning recommendations that advance sustainable and inclusive energy access in the Global South.

Required qualifications:

• Master's degree (M.Sc.) or equivalent in energy/engineering/science with focus on spatial data analysis
• Minimum 3-5 years professional experience in geospatial data analysis with knowledge of data structures, algorithms, and statistics
• Minimum 1-2 years professional experience in energy access projects in developing countries
• Proficiency in Python for geospatial data analysis (geopandas, shapely, rasterio, gdal)

Benefits and perks:

• Participation in VSOP program ensuring team members share in company success
• Fully remote working with flexibility to determine when and where to work
• 500€ educational budget per year for learning resources
• 500€ setup budget for equipment of your choice
• 28 vacation days + public holidays in your country of residence
• Latest technology and tools provided
• Diverse, multicultural team with more than 15 nationalities
• Real ownership and short decision paths in a small team environment

VIDA is a software company that goes beyond code and interfaces to create tangible impact in real lives, working on development-centered projects at the intersection of data and social impact, particularly around energy access.