Data Science Graduate Student Intern

Point Blue Conservation SciencePetaluma, CA
$25 - $25Hybrid

About The Position

Point Blue Conservation Science seeks an Ecoinformatics Data Science Intern to assist with several ongoing data analysis projects that are harnessing information from the Avian Knowledge Network (AKN). The intern will help refine species distribution and abundance model for a select set of species across the United States. The intern will be required to document and code their work so that the models can be run annually to reflect new avian observations added to the AKN and satellite remote sensing data that become available. Additionally, the intern will help develop new analytical tools to serve as examples that AKN users can utilize and/or create for themselves.

Requirements

  • Experience using The Avian Knowledge Network (AKN)
  • Experience using R
  • Experience using Git / GitHub
  • Experience using Google Earth Engine
  • Experience using Amazon Web Services
  • Experience using ArcGIS or other geospatial software
  • Experience working in the Point Blue Science Cloud
  • Experience distinguishing between and selecting avian monitoring protocols for determining what data can be aggregated for analyses
  • Experience documenting code following Point Blue Informatics requirements
  • Experience working with the United States Protected Areas Database
  • Accountability and ability to meet deadlines.
  • Ability to follow security guidelines
  • Ability to collaborate and work respectfully with people with a variety of perspectives.
  • Ability to seek, accept, and incorporate feedback is necessary.
  • Ability to conduct independent research and apply findings to practical projects.
  • Ability to manage and prioritize tasks to meet project deadlines.
  • Strong written and verbal communication skills.
  • Valid California driver’s license and favorable driving history, and proof of auto insurance.

Responsibilities

  • Refine species distribution and abundance models for NASA ADALO 2.0 project
  • Test adding new covariates to existing models
  • Test new algorithms or modeling approaches
  • Evaluate changes in predictive performance
  • Develop code that can be implemented annually without user changes needed
  • Document workflow
  • Develop new analytical approaches to replace the Analyst tool
  • Scope analyses that will be used as examples
  • Develop code and user interface for the new tools that could be designed and implemented by general AKN users

Benefits

  • Up to 40 hours of paid CA sick leave
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