Wildfire Resilience Index Data Analyst

6 days ago


Santa Barbara, California, United States University of California, Santa Barbara Full time
Company Overview

The University of California, Santa Barbara is a renowned institution dedicated to fostering innovation and advancing knowledge in various fields, including ecological analysis and synthesis. Our team at NCEAS is committed to addressing pressing environmental issues, such as wildfire resilience, through collaborative research and development of cutting-edge solutions.

Job Summary

We are seeking an exceptional data analyst to join our project team focused on creating the Western Wildfire Resilience Index. As a key member of this initiative, you will contribute to the development of a comprehensive indicator framework, integrating heterogeneous data sources and leveraging machine learning techniques. Your expertise will enable us to provide policymakers and the public with actionable metrics for improving wildfire management.

Estimated Salary

$65,000 - $70,000 per annum (commensurate with experience)

Job Description

This full-time position offers a competitive salary and benefits package. As a data analyst, you will work closely with our expert working group, postdoctoral fellow, project lead, and web developer to create interactive data visualizations and compelling infographics. Your primary responsibilities will include:

  • Developing and maintaining data pipelines and reproducible analytical workflows
  • Integrating disparate data sources, including tabular, geographic, and remote sensing data
  • Leveraging machine learning techniques to process and analyze large datasets
  • Gathering, organizing, and documenting code and data processes involved in calculating the WWRI
  • Collaborating with the WWRI Web Developer to create interactive data visualizations and infographics
Required Skills and Qualifications

To be successful in this role, you should possess:

  • A baccalaureate degree in environmental science, Earth science, ecology, data science, computer science, or a related field
  • Clean, efficient coding abilities, preferably in R and/or Python
  • Experience using machine learning techniques to process and analyze larger datasets
  • Ability to review and synthesize large amounts of literature and disparate data sources
  • Ability to communicate complex information using data visualization techniques
Benefits

We offer a comprehensive benefits package, including:

  • Competitive salary range
  • Full benefits package commensurate with experience
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
Location

Santa Barbara, California



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