Data Scientist / Data Engineer

About this role

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 eng...