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Science, Engineering, Business, Data Science, Data Visualization). • Demonstrated experience in data visualization – dashboards (tableau, R shiny, etc.) • Demonstrated experience in GIS and spatial mapping
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in statistical programming (R, Python, Julia, MATLAB). Familiarity with GIS and spatial analysis tools (ArcGIS, QGIS, or R spatial packages). Ability to integrate multidisciplinary datasets
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settings. Experience in data management, GIS, or ecological modeling is desirable. Ability to contribute to scientific writing and communication (reports, manuscripts, presentations). Strong skills in
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technical or professional audience Familiarity with climate change impact models and knowledge related to climate change effects on natural ecosystems Familiarity with GIS, citation management programs, and
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Geographic Information System (GIS) technology Bilingual (Spanish and English) Knowledge of sediment transport processes, protocols, and plans. Experience and Knowledge: Extensive experience with protocols
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modeling tools, especially in Python (e.g., EPANET, Water Network Tool for Resilience - WNTR, EPA SWMM, pipedream). Knowledge of geographic information systems (GIS) data and analysis for water