BuzzClan is seeking a Data Scientist / Data Engineer to support data engineering, analytics modernization, and data governance aligned with FHI 360’s Digital Technology & AI initiatives. The role involves contributing to data architecture planning, analytics models, and cloud-based data environments, as well as providing technical advisory services for digital transformation.
Responsibilities:
- 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
- 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
- Support donor-aligned technical proposal development involving analytics and data modernization
- Contribute to technical analyses, dashboards, and strategic reporting
- Support digital transformation advisory initiatives
- 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
Requirements:
- 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