Geospatial Data Scientist – Energy Access

This is a fully remote position, open to applicants in Kenya.

📋 Description

• You will utilize VIDA’s spatial analysis tools and adapt our software for real-world projects, focusing on energy access planning.

• You will enhance, automate, and expand our workflows using Python and SQL scripting.

• You will investigate, pre-process, and integrate new datasets and map layers into the VIDA software.

• You will research and implement innovative spatial data analysis techniques, such as Machine Learning methods and sector-specific modeling frameworks.

• You will ensure comprehensive documentation, reporting, and communication throughout all project phases.

• You will guarantee that project outputs (VIDA software products and reports) adhere to technical quality standards and are user-friendly for end-users.

• You will engage with our international project partners and clients, preparing and presenting your findings in reports and presentations.

• You will conduct workshops, training sessions, and meetings to foster alignment and adoption of project results.

• You will contribute GIS-based analytical work specifically for energy access initiatives in developing countries, translating geospatial insights into actionable planning recommendations.

⛳️ Requirements

• A Master's degree (M.Sc.) or equivalent qualification in energy, engineering, or science with an emphasis on spatial data analysis.

• At least 3-5 years of professional experience in geospatial data analysis, with a solid understanding of data structures, algorithms, tools, and the statistical and mathematical foundations of data science.

• A minimum of 1-2 years of professional experience in energy access projects, particularly in developing countries, with knowledge in areas such as rural electrification, least-cost electrification, mini-grid viability, SHS, and related planning strategies.

• Demonstrated experience in Geographic Information Systems (GIS) analytics, specifically related to energy access.

• Proficiency in Python for geospatial data analysis (e.g., geopandas, shapely, rasterio, gdal).

• Exceptional communication skills.

• Experience in writing technical reports related to geospatial data analyses.

• Fluency in English (both oral and written).

🏝️ Benefits

• An educational budget of 500€ per year that can be utilized for any learning resources.

• A setup budget of 500€ for any equipment of your choice.

• 28 vacation days plus public holidays in your country of residence.

• Participation in our VSOP program: At VIDA, every team member is included in our VSOP program, ensuring that everyone benefits from our collective success.

• Fully remote work and flexibility: We strongly support autonomy and flexibility, allowing you to decide when and where you work most effectively.

• Access to the latest technology and tools: We recognize the significance of having the right resources to enhance your work and will provide you with state-of-the-art technology and tools.