In A Nutshell
Responsible for designing and developing a robust early warning model for food which encompasses creating advanced AI solutions to analyse trends, forecast potential crises, and generate early warning.
Responsibilities
- 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.
Skillset
- Master’s degree in a quantitative field.
- At least 5 years of professional experience in an analytical role.
- Python programming skills and experience with data science libraries.
- Advanced knowledge of machine learning.
- Experience in querying SQL databases is required.
- Experience in GIT is an asset.
- Experience in forecasting methodologies is an asset.
- Knowledge of survey methodologies
- Excellent communication and interpersonal skills, with the ability to work effectively and respectfully in a diverse and multicultural team environment.