Consultant VAM Officer (Team Lead) Data Science, RAM Ecosystem, Analytics and Geospatial Analysis
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Church World Service, Rainforest Alliance, UNEP, World Food Programme, World VisionProfession (Non-profit, social work, Mid-level)
Industry (Information technology, software development, data, Mid-level)
Seniority (Information technology, software development, data, Non-profit, social work)
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Non-profit + 1 more
Consultant VAM Officer (Team Lead) Data Science, RAM Ecosystem, Analytics and Geospatial Analysis
Description
Education:
Advanced University degree (Master's or equivalent) in Data Science, Computer Science, Applied Statistics, Information Management or a quantitative field relevant to food security analysis. Equivalent: A first degree with at least 7 additional years of relevant experience may be considered.
Experience:
Minimum 5 years of progressively responsible professional experience in Data Science, Information Management or analytics in a humanitarian or development context, of which at least 3 years in operational food security, VAM or climate risk analysis.
Responsibilities
Component A — Karamoja Sentinel Project Lead (70% FTE)
Lead the technical execution of the AI/ML food security forecasting pipeline, including development and validation of the CNN+LSTM and XGBoost ensemble model
Develop and integrate the NLP module (BERT/GPT-4o mini) for processing qualitative food security narratives and combining outputs with quantitative model results.
Manage multi-sensor satellite data integration (NDVI, SPI, CHIRPS) and ensure data pipeline quality, documentation and version control.
Design and deploy the Tableau dashboard with REST API for automated data ingestion and visualization of forecasting outputs.
Maintain and extend data-sharing agreements and technical partnerships with UBOS, OPM, MAAIF and the Meteorology Department
Component B — Team Lead RAM Ecosystems and Analytics (30% FTE)
Coordinate the RAM Ecosystems team workplan by prioritizing deliverables and managing requests from CO programme units (PSU, M&E, CEFM, CFM, Supply Chain). Ensure timely delivery of high-quality analytical outputs, including the digitalization of quantitative and qualitative data collection tools, in line with corporate standards and data protection requirements.
Oversee the maintenance, development and continuous update of existing Tableau dashboards, ensuring data accuracy, consistency, and usability across all Strategic Objectives and cross-cutting functions.
Ensure the timely production and quality assurance of thematic and operational maps to support programme delivery, field operations, and assessments, using ArcGIS Online and Tableau.
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