Data Visualization Intern (NPS) – Yosemite National Park
This internship is an opportunity to develop a science communication web product for visualizing and interpreting Yosemite's real-time climate, water, and air data! This position will work within the Physical Sciences and Landscape Ecology (PSLE) Branch at Yosemite National Park, in coordination with the park’s enterprise Geographic Information Systems (GIS) program, to develop a Physical Sciences Dashboard in ArcGIS Online as well as assist the GIS program with GIS requests and program initiatives.
The principal project of this internship will be to work with park hydrologists and physical scientists to integrate and visualize climate, hydrology, and air quality station data feeds in a public Physical Sciences Dashboard. The intern will receive on-the-job training in ArcGIS Experience Builder in order to develop mobile-friendly visual displays of current conditions with maps, tools, and narratives to interpret and explore data and trends. The intern will create detailed documentation to accompany the dashboard. Depending on workload, the intern may also be assigned additional projects or involved in other activities in the PSLE branch such as developing other web products in ArcGIS Online (e.g. StoryMaps, web maps, or hub sites), preparing geospatial data for public sharing, creating or updating scripts, responding to GIS requests, or assisting with field work. The intern can expect to deploy a variety of technical skills to identify decision points and solve issues that arise along the way.
First consideration will be given to applicants with coursework, experience, or skills in data visualization and physical sciences (e.g. hydrology, climatology, physical geography).
A successful candidate will possess:
- Willingness to dive into technical aspects of web development, including app customization and programming
- Ability to work both independently and in collaboration with others to meet project timelines
- Excellent communication skills (e.g. writing short, interpretive text, presenting scientific data to non-scientific audiences, and getting feedback from project stakeholders)
- Strong analytical skills
- Familiarity with data visualization techniques and visual design principles