Data Scientist

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.

Requirements

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

How to Apply

Please submit your CV and cover letter to Kenya.Careers@apeiro.digital. Applications will be reviewed on a rolling basis. Application Deadline: 20 March 2026.