Spatial Data Scientist
Website U.S. Geological Survey
Science for a Changing World
Spatial Data Scientist/Landscape Ecologist
U.S. Geological Survey
Western Geographic Science Center
Moffett Field, Mountain View, CA
The U.S. Geological Survey, Western Geographic Science Center has an opening for a Spatial Data Scientist/Landscape Ecologist position for one year with possibility of extension. The position is in the Applied Landscape Ecology and Remote Sensing group (www.usgs.gov/WGSC/ALCERES) led by Dr. Kristin Byrd and will be based in our new location at Moffett Field in Mountain View, CA, co-located with NASA’s Ames Research Center. Our group conducts landscape studies of natural and working lands, in particular coastal and inland wetlands and rangelands. We quantify ecosystem benefits, find areas vulnerable to future change, and identify potential for climate mitigation and resilience. We emphasize the use of open data and open source software to aid tool development for decision makers. Currently we have multiple projects on wetland sustainability and ecosystem services, habitat modeling, land use change and water supply, and large-scale riparian vegetation mapping.
We are seeking a talented and motivated spatial data scientist with experience in spatial data analysis and spatial statistics, programming, and management of large datasets. The scientist should also have a background in ecology or natural resources, with a preference for experience in wetland, estuarine, or watershed science. Programming skills (python, R, and database management) are necessary. Ability to optimize processing of large datasets such as lidar and raster-based model outputs with cloud computing is highly desirable. Experience with remote sensing methods such as image classification is also beneficial.
Primary tasks will include 1) analysis and visualization of model outputs from integrated land use and hydrological models for the Central Valley of California, 2) writing code to automate and optimize processing of satellite images and lidar datasets, 3) error analysis for remote sensing products, 4) coastal ecosystem habitat modeling. There will be opportunity to seek grant funding to develop related, independent research.
Education/work experience: Ph.D. or M.S. with 3+ years post-graduate professional experience.
Salary is based on education and work experience.
This position with be either a contract hire or postdoctoral researcher hire, dependent upon educational level attained. Pay range will be based on the Federal GS11/12 payscale, and includes the option for full benefits. Approximate start date is late August 2019.
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