Position Overview:

The Data Scientist will play a key role in designing, improving and operationalizing data reporting, analytics and visualization solutions that advance Kenya’s Universal Health Coverage (UHC) agenda. The role will take ownership of complex data preparation tasks, develop analytical insights and contribute to scalable analytics products used by T4Health and partner organizations. The position requires strong technical capability, the ability to work with diverse health data systems and a proactive approach to problem-solving.

Key Responsibilities:

Data Management & Quality Assurance

• Lead data cleaning, transformation, and validation processes across multiple health information systems.
• Conduct advanced data quality assessments, identify root causes of inconsistencies, and recommend corrective measures.

Data Analysis & Visualization

• Develop interactive dashboards, visualizations, and performance reports using tools such as Power BI or Tableau.
• Perform in-depth exploratory data analysis to uncover trends, anomalies, and actionable insights.

Analytics & Modeling

• Build and optimize analytical models and metrics in support of UHC monitoring and program performance.
• Collaborate with senior technical staff to refine methodologies and ensure analytical rigor.

Data Integration & Standardization

• Support integration of datasets from different platforms, ensuring consistency in formats, definitions, and metadata.
• Contribute to the development and maintenance of data dictionaries, schemas, and technical documentation.

Technical Documentation & Reporting

• Produce clear, structured documentation of workflows, scripts, analytical methods, and outputs.
• Develop recurring analytical deliverables, including dashboards, data summaries, and technical reports.

Stakeholder Collaboration & Capacity Development

• Partner with internal teams, government agencies, and external organizations to address data needs and improve data use.
• Provide training, mentoring, and support to staff on data tools, dashboards, and analytical best practices.

Compliance, Privacy & Data Governance

• Uphold strict data privacy, security, and governance standards in line with organizational and national policies.
• Support implementation of data protection practices across analytics workflows.

Qualifications & Experience

• Bachelor’s Degree in Data Science, Statistics, Computer Science, Medical Epidemiology, Health Informatics, or a related field.
• 3-5 years of experience in data science, data analysis, or applied analytics, preferably within the health or development sector.
• Advanced understanding of statistical packages such as R, Stata, SPSS, Epi, Arc or QGIS
• Proficiency in Python or R, SQL, and data visualization tools (Power BI/Tableau).
• Experience working with health information systems (e.g., EMRs, DHIS2) is an advantage.
• Strong analytical and problem-solving skills, with the ability to work independently and take ownership of technical tasks.
• Strong communication and collaboration skills within multidisciplinary and fast-paced environments.

• Lead data cleaning, transformation, and validation processes across multiple health information systems.
• Conduct advanced data quality assessments, identify root causes of inconsistencies, and recommend corrective measures.
• Develop interactive dashboards, visualizations, and performance reports using tools such as Power BI or Tableau.
• Perform in-depth exploratory data analysis to uncover trends, anomalies, and actionable insights.
• Build and optimize analytical models and metrics in support of UHC monitoring and program performance.
• Collaborate with senior technical staff to refine methodologies and ensure analytical rigor.
• Support integration of datasets from different platforms, ensuring consistency in formats, definitions, and metadata.
• Contribute to the development and maintenance of data dictionaries, schemas, and technical documentation.
• Produce clear, structured documentation of workflows, scripts, analytical methods, and outputs.
• Develop recurring analytical deliverables, including dashboards, data summaries, and technical reports.
• Partner with internal teams, government agencies, and external organizations to address data needs and improve data use.
• Provide training, mentoring, and support to staff on data tools, dashboards, and analytical best practices.
• Uphold strict data privacy, security, and governance standards in line with organizational and national policies.
• Support implementation of data protection practices across analytics workflows.

• Proficiency in Python or R, SQL, and data visualization tools (Power BI/Tableau).
• Advanced understanding of statistical packages such as R, Stata, SPSS, Epi, Arc or QGIS
• Strong analytical and problem-solving skills
• Strong communication and collaboration skills

• Bachelor’s Degree in Data Science, Statistics, Computer Science, Medical Epidemiology, Health Informatics, or a related field.
• Experience working with health information systems (e.g., EMRs, DHIS2) is an advantage.