Strathmore University is a Chartered University located in Nairobi, Kenya. It was the first multiracial and multi religious educational institution in English speaking Eastern Africa and more recently the first institute of higher learning to be ISO certified in East and Central Africa in 2004. Our mission is to provide all-round quality education in an atmo...

Basic job summary:

The GIS and Machine Learning Engineer will play a pivotal role in advancing projects that combine Geographic Information Systems (GIS) and Machine Learning (ML) to support innovation in energy access, renewable energy systems, and grid management.

Duties & Responsibilities:

• GIS Integration: Integrate geospatial systems with existing applications to provide real-time mapping and location-based data.
• Collaborate with teams to ensure data is usable and optimized.
• Geospatial Analysis: Conduct analysis to derive location-based insights for various projects.
• Develop and execute data collection strategies.
• Create and present maps, dashboards, and visualizations for different audiences.
• Machine Learning (ML) for Data Retrieval: Design and build machine learning models to automate the extraction of data from unstructured sources.
• Construct and maintain structured datasets for analysis.
• Interpret extracted data to find key specifications and insights
• Machine Learning (ML) for Pattern Detection: Develop and deploy machine learning tools to automate the detection of specific patterns, such as identifying anomalies or fraudulent activities.
• GIS Integration: Integrate geospatial systems with existing applications to provide real-time mapping and location-based data.
• Collaborate with teams to ensure data is usable and optimized.
• Geospatial Analysis: Conduct analysis to derive location-based insights for various projects.
• Develop and execute data collection strategies.
• Create and present maps, dashboards, and visualizations for different audiences.
• Machine Learning (ML) for Data Retrieval: Design and build machine learning models to automate the extraction of data from unstructured sources.
• Construct and maintain structured datasets for analysis.
• Interpret extracted data to find key specifications and insights.
• Machine Learning (ML) for Pattern Detection: Develop and deploy machine learning tools to automate the detection of specific patterns, such as identifying anomalies or fraudulent activities.
• Work with stakeholders to align models with project goals.
• General Duties: Maintain detailed project records, including the use of Gantt charts, to track progress and ensure transparency and accountability.
• Communicate progress metrics and findings through detailed reports, visualizations, and presentations to project managers and stakeholders.
• Stay informed about current best practices and emerging technologies in GIS, data collection, and machine learning to improve efficiency and innovation.
• Work with stakeholders to align models with project goals

Minimum Academic Qualifications:

• Bachelor’s degree in Engineering, Geoinformatics, Computer Science, Statistics, or a related field.

Experience:

• 5+ years of proven experience in GIS analysis and machine learning.
• Strong understanding of GIS principles and ML model development.
• Experience with GIS software (e.g., ArcGIS, QGIS) and ML frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages like Python and R, and databases like SQL.
• Experience in the energy sector, particularly on electricity-related projects, and familiarity with renewable energy technologies and trends are an advantage.

Competencies and Attributes

• Project Management Skills: Proficiency in project planning, scheduling, risk management, and monitoring and evaluation (M&E).
• Communication Skills: Strong writing skills for developing reports and the ability to communicate complex information clearly to diverse audiences.
• Stakeholder Management: Ability to effectively engage and maintain relationships with diverse stakeholders, including technical and non-technical teams.
• Analytical Skills: Strong analytical, problem-solving, and critical thinking skills to interpret complex data from GIS and ML outputs and produce insightful reports.
• Research Skills: Experience in designing and conducting research, including both quantitative and qualitative methodologies.
• Familiarity with renewable energy technologies and trends.

• GIS Integration: Integrate geospatial systems with existing applications to provide real-time mapping and location-based data.
• Collaborate with teams to ensure data is usable and optimized.
• Geospatial Analysis: Conduct analysis to derive location-based insights for various projects.
• Develop and execute data collection strategies.
• Create and present maps, dashboards, and visualizations for different audiences.
• Machine Learning (ML) for Data Retrieval: Design and build machine learning models to automate the extraction of data from unstructured sources.
• Construct and maintain structured datasets for analysis.
• Interpret extracted data to find key specifications and insights
• Machine Learning (ML) for Pattern Detection: Develop and deploy machine learning tools to automate the detection of specific patterns, such as identifying anomalies or fraudulent activities.
• GIS Integration: Integrate geospatial systems with existing applications to provide real-time mapping and location-based data.
• Collaborate with teams to ensure data is usable and optimized.
• Geospatial Analysis: Conduct analysis to derive location-based insights for various projects.
• Develop and execute data collection strategies.
• Create and present maps, dashboards, and visualizations for different audiences.
• Machine Learning (ML) for Data Retrieval: Design and build machine learning models to automate the extraction of data from unstructured sources.
• Construct and maintain structured datasets for analysis.
• Interpret extracted data to find key specifications and insights.
• Machine Learning (ML) for Pattern Detection: Develop and deploy machine learning tools to automate the detection of specific patterns, such as identifying anomalies or fraudulent activities.
• Work with stakeholders to align models with project goals.
• General Duties: Maintain detailed project records, including the use of Gantt charts, to track progress and ensure transparency and accountability.
• Communicate progress metrics and findings through detailed reports, visualizations, and presentations to project managers and stakeholders.
• Stay informed about current best practices and emerging technologies in GIS, data collection, and machine learning to improve efficiency and innovation.
• Work with stakeholders to align models with project goals

• Project Management Skills: Proficiency in project planning, scheduling, risk management, and monitoring and evaluation (M&E).
• Communication Skills: Strong writing skills for developing reports and the ability to communicate complex information clearly to diverse audiences.
• Stakeholder Management: Ability to effectively engage and maintain relationships with diverse stakeholders, including technical and non-technical teams.
• Analytical Skills: Strong analytical, problem-solving, and critical thinking skills to interpret complex data from GIS and ML outputs and produce insightful reports.
• Research Skills: Experience in designing and conducting research, including both quantitative and qualitative methodologies.
• Familiarity with renewable energy technologies and trends.

• Bachelor’s degree in Engineering, Geoinformatics, Computer Science, Statistics, or a related field.
• 5+ years of proven experience in GIS analysis and machine learning.
• Strong understanding of GIS principles and ML model development.
• Experience with GIS software (e.g., ArcGIS, QGIS) and ML frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages like Python and R, and databases like SQL.
• Experience in the energy sector, particularly on electricity-related projects, and familiarity with renewable energy technologies and trends are an advantage.