Data Science Expert

WFP offers a highly inclusive, diverse, and multicultural working environment.* WFP invests in the personal & professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities.* A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe.* Based on the demonstrated impact of this approach to managing humanitarian operations, the SPO function is now being institutionalized across the organization, with new positions being created to support HQs and our field offices. These SPOs are part of a **global planning network**, equipped with a suite of analytical tools and processes that were created to support efficient supply chain management, and will be responsible for improving operations at global, regional, and country level, either for WFP or its partner agencies and governments (hereafter: “client”). The**Supply Chain Data Scientist**will be embedded in one of WFP’s offices, either its headquarters in Rome, one of six Regional Bureaus, or a Country Office. Independent of the office and client, the role will always revolve around developing data science solutions for supply chain planning, optimization and operational analytics, in support of data-driven decision-making for operations management. Specific responsibilities include but will not be limited to:The **Supply Chain Data Scientist** position is typically a **Level I Consultancy**, but may be at **Level II** in case higher levels of responsibility and accountability are requested by the client, for example when the role involves the supervision of other WFP employees, the management of complex projects, or regular interaction with government officials.* Experience in using analytics to support operations management (e.g. planning, optimizing supply chain networks, development of KPIs and visualization dashboards) is **required**.* Experience with developing analytical solutions (e.g. dashboards, optimization models, data transformation pipelines, machine learning models) is **required**.* Experience with software-development (e.g. proficiency in programming languages, agile methodologies, testing and deploying code, system design) is **required**.* Experience with typical WFP data science technology (Pandas, Spark, Palantir Foundry, JS, Typescript, SQL, PuLP, PyTorch, XGBoost, DARTS, etc.) Experience with forecasting and statistical models (e.g. regression analysis, clustering, random forest) is **desired**.* Experience in SC-related industry (e.g. supporting S&OP-type processes, material planning, distribution planning, procurement, shipping) is **desired**.* Experience with consultancy-type activities (e.g. business analysis, process mapping, data transformation and analysis, presenting conclusions to senior management) is **desired**.* Highly numerate, able to rapidly analyze and interpret data.* Problem-solving attitude, able to structure ambiguous problems and solve them through a mix of quantitative and qualitative analyses.* Highly developed communication skills, able to use written and verbal mediums to communicate recommendations and influence outcomes.* Strong time management skills with an ability to plan ahead and anticipate requirements, problems, and obstacles.* Effective people skills, able to work both individually and in a team in a multi-cultural environment.* Ability to interact with senior leaders and a wide range of stakeholders with credibility and tact.* Fully committed and motivated to achieve the aims of the World Food Programme.* All applications must be submitted exclusively through our online recruitment system. If you experience challenges while submitting your online application, please contact us at for technical support only.* We strongly recommend that your profile is accurate, complete, and includes your employment records, academic qualifications, language skills and UN Grade (if applicable).*