Data Scientist NGO Job WFP

NGO Jobs, World Food Programme Jobs.

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Responsibilties

The Consultant will be responsible for the following activities:

• 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.

Delivarables

• Technical inputs to the development of Early Warning System, including the code and methodology for generation of the signals.
• Deployment of models in a production environment
• Maintenance of the code base following industry’s best practice
• Impact evaluation document of early warning platform.
• Participation in project meetings, scientific committee meetings and dissemination events.
• Presentations on the technical aspects of the project, as needed.

Qualifications & Experience

Education:

• Master’s degree in a quantitative field

Experience:

At least 5 years of professional experience in an analytical role

Knowledge & Skills:

• 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

Languages:

• Excellent spoken and written English. French or Arabic is an asset.

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How to Apply

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