Data Scientist Consultant

at  World Food Programme

DEADLINE FOR APPLICATIONS

10 September 2024-23:59-GMT+01:00 Central European Time (Rome)
WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status or disability.

QUALIFICATIONS & EXPERIENCE REQUIRED:

Education:
Master’s degree in engineering, computer science, physics, mathematics or similar.
Experience:
From 1 to 5 years of professional experience in a data science-related position or field including PhD programmes and other academic positions.

Knowledge & Skills:

• Python programming skills and experience with data science libraries (pandas, NumPy, scikit-learn, etc)
• Advanced knowledge of statistics and passion for machine learning with an understanding of algorithms
• Experience in git is a requirement
• Excellent communication and interpersonal skills, with the ability to work effectively and respectfully in a diverse and multicultural team environment
• Experience in designing and querying SQL databases is an asset
• Knowledge of survey methodologies is an asset
• Knowledge of food security and nutrition data is an asset
• Experience working with the humanitarian sector or in food security\nutrition field is an asset.

Languages:
Excellent spoken and written English

The Consultant will be responsible for the following activities:

• Develop and test Machine Learning models for estimating risk of dietary micronutrient inadequacy at national and sub-national level, in collaboration with the rest of the Data Science team.
• Support ad-hoc data explorations and analysis for the project, by means of traditional statistical analysis as well as state-of-the-art data science methodologies.
• In collaboration with the software engineering team, support the design and the implementation of production-ready data pipelines for visualizing the data in the HungerMapLIVE.
• Support the writing of technical papers and reports to be submitted to peer-reviewed international journals.
• Participate in workshops, meetings and conferences to present the technical aspects of the project, within the organization and externally.
• 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.