Data Scientist

• Lead advanced descriptive, predictive, and inferential analyses across clinical, surveillance, and health systems datasets
• Develop and validate predictive models, risk stratification algorithms, forecasting models, epidemiological analytics, and operational analytics
• Apply statistical methods, hypothesis testing, and causal inference techniques to support decision-making
• Ensure analytics are clinically interpretable, policy-relevant, and scientifically defensible
• Design feature engineering pipelines from EMRs, HMIS, LMIS, and surveillance platforms
• Support AI Engineers with training datasets, feature selection, bias detection, and data representativeness testing
• Contribute to machine learning models involving tabular health data, time-series forecasting, and population-level risk prediction
• Lead data quality frameworks, audits, outlier detection, bias analysis, and missing-data analysis
• Ensure compliance with national health data governance, privacy, and ethical data-use policies
• Maintain data documentation, metadata standards, and lineage tracking
• Develop decision-support analytics and public health dashboards for disease burden tracking, resource allocation, and service delivery optimization
• Translate analytical outputs into policy briefs, executive dashboards, and technical reports
• Work with data engineers, integration teams, and AI engineers to ensure analytics assets are scalable, reproducible, and production-ready
• Support data pipeline optimization, ETL quality validation, and real-time and batch processing readiness
• Mentor junior data scientists and analysts
• Lead analytics communities of practice, code reviews, and methodology workshops
• Review analytics protocols, research designs, and data science deliverables
• Propose innovative analytics and data science use cases for public health, service delivery, health financing, pharmaceutical supply chains, logistics, and disease surveillance

Data Scientist jobs in Rwanda

Associate, Data Science