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.

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