Geospatial Data Scientist (Research Fellow or Part-time Consultant)

Terrafuse AI; San Francisco (CA); Remote; USD 60,000 - 100,000; Part time

Job summary

Join a forward-thinking company focused on leveraging AI for climate and weather modeling. This role as a Geospatial Data Scientist offers the chance to work on impactful environmental projects, using your expertise in Python and GIS to analyze data and develop risk models. With a flexible part-time internship structure, you'll collaborate with a dynamic team dedicated to creating actionable insights for wildfire and wind risk modeling. Your contributions will play a crucial role in supporting disaster response and aiding clients in the insurance and renewable energy sectors. If you're passionate about environmental science and data analysis, this opportunity is perfect for you.

Benefits

Flexible Hours

Impactful Environmental Projects

Collaborative Team Environment

Mentorship and Career Development

Qualifications

• 5-7 years of experience in software engineering or data science.
• Proficiency in Python for data analysis and visualization.

Responsibilities

• Validate catastrophe risk models against environmental standards.
• Analyze datasets using Python and ArcGIS.

Skills

Python

GIS

Data Analysis

Problem-Solving

Communication Skills

Education

Undergraduate Degree in a Technical Discipline

Tools

ArcGIS

QGIS

Job description

Geospatial Data Scientist (Research Fellow or Part-time Consultant)

Terrafuse is developing AI technology to accelerate climate and weather modeling, making it significantly faster and more affordable. Our solutions leverage climate science and machine learning expertise from Lawrence Berkeley National Lab, supported by NSF, NASA, DoD, and Microsoft AI for Earth. Our goal is to create a Queryable Earth, integrating observation and climate data with AI for actionable insights.

We focus on wildfire and wind risk modeling. Our wildfire risk model has successfully predicted major fires like those in Los Angeles, aiding disaster response and risk assessment. Our clients include insurance companies, government agencies, and the renewable energy sector.

Role Overview

We seek a highly skilled Environmental Engineer or Data Scientist intern with expertise in environmental engineering, GIS, and data analysis. You will support projects using Python and ArcGIS to analyze environmental data and develop risk models.

Location

Remote or San Francisco Bay Area

Position

Part-Time Internship

Key Responsibilities

1. Validate catastrophe risk models against environmental and client standards
2. Analyze environmental datasets using Python and ArcGIS
3. Create visualizations and maps for risk models
4. Support reporting and presentations with data insights

Qualifications

• 5-7 years of experience in software engineering, environmental engineering, data science, or related fields, including academic experience
• Proficiency in Python for data analysis and visualization
• Experience with ArcGIS or QGIS, including spatial analysis and mapping
• Knowledge of catastrophe risk model validation
• Strong problem-solving and communication skills

Preferred Qualifications

• Experience with machine learning models
• Knowledge of cloud GIS solutions
• Additional programming skills (R, QGIS)
• Undergraduate degree in a technical discipline

What We Offer

• Flexible hours
• Impactful environmental projects
• Collaborative team environment
• Mentorship and career development

Application Process

Submit your resume, cover letter, and work samples. Applications are reviewed continuously.

We value diversity and encourage all qualified candidates to apply.