Global Nutrition Data Scientist for Impact & Modelling

World Food Programme; United States; Remote; USD 67,000 - 100,000; Part time

Job summary

World Food Programme seeks a Nutrition Analyst (Data Scientist) to join the MIMI team in Rome, working on advanced modelling of micronutrient intake and fortification scenarios. The role emphasizes data analysis, visualization, and capacity-building across diverse country contexts.

The candidate will lead statistical methods development, manage data workflows, and collaborate with partners to translate complex results into policy guidance and practical tools for decision-makers in international

Qualifications

• Masters degree in a data-related field (e.g., Data Science, Epidemiology, Medical Statistics).
• 3–4 years of work experience, preferably informing health or nutrition programmes.
• Experience cleaning, merging and processing large datasets, including Household Consumption and Expenditure Surveys.

Responsibilities

• Lead research improving statistical modelling of inadequate micronutrient intake.
• Develop methods for estimating micronutrient intake from secondary data.
• Collaborate with partners to refine analytical approaches and present findings to stakeholders.

Skills

Statistical analysis

Data visualization

Git version control

English proficiency

Education

Masters in Data Science

Tools

R software

Git

Job description

World Food Programme seeks a Nutrition Analyst (Data Scientist) to join the MIMI team in Rome, working on advanced modelling of micronutrient intake and fortification scenarios. The role emphasizes data analysis, visualization, and capacity-building across diverse country contexts.

The candidate will lead statistical methods development, manage data workflows, and collaborate with partners to translate complex results into policy guidance and practical tools for decision-makers in international