S

Data Scientist

Strathmore University

Today
New
Min Qualification: Experience Level: Entry level Experience Length: 3 years

Job descriptions & requirements

ABOUT THE COMPANY

Strathmore University is a chartered university based in Nairobi, Kenya Strathmore College was started in 1961, as the first multi-racial, multi-religious advanced-level sixth form college offering science and arts subjects, by a group of professionals who formed a charitable educational trust.

JOB SUMMARY

The Data Scientist supports SAFIC’s research and innovation agenda bydeveloping analytical models, performing advanced data analyses, and generating insights thatinform policy, investment, and agribusiness decision-making. This role contributes to the designand deployment of data-driven solutions that enhance productivity, sustainability, and innovationwithin Africa’s agri-food systems.RequirementsThe post holder will be required to have and demonstrate evidence of the followingqualifications, attributes, and skills:• Master’s Degree in Data Science, Statistics, Computer Science, AI, AgriculturalInformatics, or a related field.• 3+ years of experience in data science, analytics, or applied research. Experience workingwith 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

RESPONSIBILITIES

1. Data Analysis and Modeling• Develop, validate and implement machine learning and statistical models forstructured and unstructured data.• Analyze large and complex datasets to identify trends, patterns, and predictiveinsights.• Refine and optimize models to improve accuracy, reliability, and scalability.• Apply appropriate methodologies to address sector-specific challenges,particularly in agriculture.2. Policy and Strategy Support• Support data analytics projects that generate evidence for policymaking andbusiness decision-making.• Interpret analytical results and provide clear, data-driven recommendations.• Align analytical outputs with the needs of policymakers, researchers, and privatesector stakeholders.3. Stakeholder Engagement and Coordination• Collaborate with government agencies, research institutions, and industry partnerson data initiatives.• Support co-creation of analytics solutions that respond to real-world agriculturaldata challenges.• Communicate technical concepts effectively to non-technical stakeholders.4. Digital Solutions and Analytics Tools• Contributes to the design and development of interactive dashboards and digitalanalytics tools.• Ensure usability, clarity and relevance of data visualizations for diverseaudiences.• Support the deployment and continuous improvement of analytics platforms.5. Research Outputs and Dissemination• Develop clear visualizations and summaries to communicate insights to technicaland non-technical audiences.• Contribute to knowledge products and publications aligned with organizationalobjectives.6. 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 inmodels.• Maintain data integrity, security and compliance with relevant standards andpolicies.7. Analytics Excellence and Innovation• Work closely with the Principal Lead Data Scientist to refine analyticalmethodologies.• Support performance evaluation and scaling of analytics solutions.• Contribute to knowledge sharing, documentation, and continuous improvementwithin the team.

REQUIRED SKILLS

Data visualization, Computer vision, Data analysis, Data science, Analytics

REQUIRED EDUCATION

Post-graduate education

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