The Data Scientist / Data Engineer will support data engineering, analytics modernization, data governance, and scalable analytics workflows aligned with FHI 360’s Digital Technology & AI initiatives.
The consultant will contribute to data architecture planning, analytics models, cloud-based data environments, dashboard development, and data pipeline advisory services supporting digital transformation and donor-aligned initiatives.
Assignments may involve analytics workflows for deployment, dashboarding, AI readiness support, data systems advisory, and technical analysis activities.
Key Responsibilities
Data Engineering & Architecture
- Design and support data pipeline architectures
- Prepare datasets, dashboards, models, and analytics workflows for deployment
- Support cloud-based data integration and analytics environments
- Develop scalable data engineering approaches aligned with enterprise and country-level initiatives
Analytics & Reporting
- Support analytics model development and reporting frameworks
- Conduct data quality assessments and analytics reviews
- Provide technical expertise in SQL, APIs, Python, R, and cloud-based analytics environments
- Support data governance and interoperability initiatives
Technical Advisory & Proposal Support
- Support donor-aligned technical proposal development involving analytics and data modernization
- Contribute to technical analyses, dashboards, and strategic reporting
- Support digital transformation advisory initiatives
Collaboration & Capacity Building
- Coordinate with technical teams, country teams, and digital transformation stakeholders
- Support training initiatives related to data literacy and analytics enablement
- Mentor teams on analytics workflows and scalable data management practices
Minimum Qualifications
- Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field
- Minimum 7 years of relevant professional experience in data engineering, analytics, or digital transformation
- Demonstrated experience supporting digital or AI-enabled data solutions
- Strong analytical and technical communication capabilities
- Minimum 5 years of healthcare/public health and public-sector or international development experience supporting digital transformation, AI, data governance, digital public infrastructure, or technology-enabled service delivery initiatives.