JOB PURPOSE:

The Data Scientist supports SAFIC’s research and innovation agenda 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

• Contributes 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.
• Contribute to knowledge products and publications aligned with organizational objectives.

Data Governance, Quality and Ethics

• Adhere to data governance frameworks and best practices in data management.
• Apply ethical AI principles, ensuring transparency, fairness, and accountability in models.
• Maintain data integrity, security and compliance with relevant standards and policies.

Analytics Excellence and Innovation

• Work closely with the Principal Lead Data Scientist to refine analytical methodologies.
• Support performance evaluation and scaling of analytics solutions.
• Contribute to knowledge sharing, documentation, and continuous improvement within the team.

JOB REQUIREMENTS:

The post holder will be required to have and demonstrate evidence of the following qualifications, attributes, and skills:

• Master’s Degree in Data Science, Statistics, Computer Science, AI, Agricultural Informatics, or a related field.
• 3+ years of experience in data science, analytics, or applied research. Experience working
• with agricultural, environmental, economic, or geospatial datasets is an added advantage.
• Strong expertise in machine learning, predictive analytics, and data modelling.
• Proficiency in Python, R, SQL, and data visualization tools e.g., Power BI, Tableau.
• Demonstrated ability to analyse large datasets and derive actionable insights.

Key Competencies and Skills:

• Solid technical understanding of data science methodologies and AI/ML techniques.
• Ability to translate analytical outputs into clear, user-friendly insights.
• Strong problem-solving skills and analytical thinking.
• Effective collaboration skills and ability to work with multidisciplinary teams.
• Excellent communication skills for both technical and non-technical audiences.
• Commitment to ethical data use, governance principles, and agricultural transformation.