eHealth Africa is focused on improving healthcare by creating effective ways to implement reliable health information management systems. We have developed eHealth and mHealth solutions that can be rapidly deployed to manage patient information, streamline clinical procedures, and provide data and analysis on health program outcomes. Accurate health data will provide NGO’s, hospitals, and donor agencies with access to timely health system indicators needed to evaluate their health interventions and respond to critical public health needs. We bring about positive change by harnessing the potential of technology, valuing the power and knowledge of local people, and maintaining a sharp focus on the health worker. To help close the gap in access to health care we have developed and share a depth of expertise in: eHealth and mHealth software and solutions Technology Infrastructure Training and capacity building for sustainable health systems Research and data analysis Project Management eHealth Africa works closely with health NGOs in order to provide them with technology solutions that will enhance their on-going and new health programs. We also strive to work with state and government officials to manage large scale implementations at health facilities across the country. eHealth and Information Systems Africa, Inc. is a California, USA Public Service Corporation. We have offices based in California, USA, and Kano, Nigeria.
Purpose of the position
- We are looking for a Senior Data Scientist with the skills, experience, and mindset to drive innovation in applied analytics, modeling, and decision intelligence. The ideal candidate is expected to build and implement real-world data use cases in areas such as health campaigns, demographic forecasting, climate risk modeling, and food security assessment. You will be responsible for driving high-impact analytical projects across multiple domains, developing models and insights that support both operational and strategic goals.
Keywords: Data, Engineering, Analytics, Sprint Planning, Capacity building, ODK
What you’ll do
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other duties may be assigned:
Data Management
- Conduct spatial analysis and develop geospatial models to identify patterns, trends, and relationships within the data.
- Oversee data collection, storage, and retrieval processes to ensure accuracy, security, and availability.
- Develop and enforce data management policies, procedures, and standards.
- Manage data governance initiatives to ensure compliance with legal and regulatory requirements.
- Develop dashboards, reports, and data visualizations to present insights to stakeholders.
- Perform data mining, statistical analysis, and predictive modeling to address complex business questions.
- Collaborate with cross-functional teams to identify data-driven opportunities for improvement.
Data Engineering and Integration
- Work closely with data engineers to improve data pipelines, data quality, and feature engineering.
- Assist in the development of robust data architectures and MLOps pipelines.
- Implement data quality frameworks to monitor and enhance the reliability of datasets.
Domain-Specific Modeling Use Cases
- Senior Coordinator, Data Scientist: Develop models to identify underserved populations, forecast disease spread, and support vaccine or intervention microplanning.
- Demography: Build spatial demographic models using satellite imagery, census microdata, and administrative boundaries for population forecasting and resource targeting.
- Climate Analytics: Analyze weather, hydrological, and satellite-derived datasets (e.g., ERA5, CHIRPS, WRF output) to model environmental risks such as heatwaves, flooding, and droughts.
- Food Security: Integrate crop indices, remote sensing, market data, and socio-economic indicators to predict food insecurity trends and design resilience strategies.
Team Collaboration and Leadership
- Lead and mentor a team of data analysts and engineers, fostering a collaborative and innovative work environment
- Mentor junior data scientists and analysts, providing code reviews and guidance on best practices.
- Lead internal knowledge-sharing sessions and stay current with industry trends and tools
Who you are
The requirements listed below are representative of the knowledge, skill, and/or ability required to successfully perform this job.
- Master’s or PhD in , Statistics, Applied Mathematics, Data Science, Public Health, demography, GIS or a related field.
- Minimum of proven seven (7) years of experience in data science or applied analytics roles.
- Strong knowledge of machine learning frameworks (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch).
- Proficiency in Python and/or R for statistical modeling and analysis.
- Experience with cloud platforms (e.g., AWS, Azure, or GCP) and big data tools (e.g., Hadoop, Spark) including model deployment (e.g., SageMaker, Vertex AI)
- Strong understanding of data modeling, databricks, ETL processes, (Apache Spark or PySpark, Apache Beam, dbt (Data Build Tool),Ruffus / Bonobo / Luigi)
- Experience with demographic data sources (e.g., DHS, WorldPop, HRSL, GHS-POP) and climate datasets (ERA5, CHIRPS, MODIS, NASA POWER).
- Exposure to humanitarian or development contexts (e.g., WHO, UN, NGOs, or government agencies) is highly desirable.
- Domain experience in [e.g., public health, geospatial, research].
- Working knowledge of geospatial analytics or unstructured data (e.g., images, text).
- Experience with A/B testing, causal inference, or time-series forecasting.
Certifications and Licenses
- Data Science Certification
- PMI Agile Certified Practitioner (PMI-ACP), AgilePgM- Optional
- Certification in cloud services (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
- Familiarity with big data platforms and real-time streaming.
Method of Application
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