Data Scientist at Strathmore Business School

Job Purpose

The Data Scientist supports research and innovation initiatives by developing analytical models, performing advanced data analyses, and generating insights that inform policy, investment, and agribusiness decision-making. This role contributes to the design and deployment of data-driven solutions that enhance productivity, sustainability, and innovation within Africa's agri-food systems.

Main Duties and Responsibilities

Data Analysis and Modeling

• Develop, validate, and implement machine learning and statistical models for structured and unstructured data
• Analyze large and complex datasets to identify trends, patterns, and predictive insights
• Refine and optimize models to improve accuracy, reliability, and scalability
• Apply appropriate methodologies to address sector-specific challenges, particularly in agriculture

Policy and Strategy Support

• Support data analytics projects that generate evidence for policymaking and business decision-making
• Interpret analytical results and provide clear, data-driven recommendations
• Align analytical outputs with the needs of policymakers, researchers, and private sector stakeholders

Stakeholder Engagement and Coordination

• Collaborate with government agencies, research institutions, and industry partners on data initiatives
• Support co-creation of analytics solutions that respond to real-world agricultural data challenges
• Communicate technical concepts effectively to non-technical stakeholders

Digital Solutions and Analytics Tools

• Contribute to the design and development of interactive dashboards and digital analytics tools
• Ensure usability, clarity, and relevance of data visualizations for diverse audiences
• Support the deployment and continuous improvement of analytics platforms

Research Outputs and Dissemination

• Develop clear visualizations and summaries to communicate insights to technical and non-technical audiences