Overview
The Data Scientist will be responsible for designing and developing a robust early warning model for food insecurity, creating advanced AI solutions to analyse trends, forecast potential crises, and generate early warnings.
Tasks Summary
- Develop state of the art Machine Learning end to end inference pipelines, from automated ingestion of data sources to the production of early warnings.
- Research, design and implement models for estimating food insecurity and produce early warning of impending crises.
- Lead the interactions with HQ and Cos on the development of the early warning platform by integrating feedback from national stakeholders.
- Coordinate with technical leads in the design of data platforms to privately and publicly share the early warnings.
- Measure and monitor the impact of the early warning platform in the Country Offices daily tasks.
- Ensure adherence to WFP policies regarding data, including data privacy, security, management, and code documentation.
- Participate in field missions to WFP country offices as required.
- Perform other tasks as required.
Experience Requirements
At least 5 years of professional experience in an analytical role
Qualification Requirements
Master's degree in a quantitative field
