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

Terrafuse AI; Pennsylvania; Remote; USD 100,000 - 125,000; Part time

Job summary

Terrafuse AI is looking for a Part-Time Intern as a Geospatial Data Scientist to enhance their innovative climate risk models. The role requires expertise in GIS, data analysis, and Python, acting on critical business and environmental challenges. This remote opportunity fosters professional growth within a mission-driven team, providing hands-on experience in impactful projects related to climate change and disaster preparedness.

Benefits

Flexible part-time hours

Hands-on experience with environmental projects

Opportunity for mentorship

Qualifications

• 5-7 years' experience in software engineering or related field acceptable.
• Proficient in Python for analysis and modeling.
• Strong knowledge in GIS tools and data platforms.

Responsibilities

• Build and validate machine learning catastrophe risk models.
• Analyze and process environmental datasets using Python and ArcGIS.
• Create visualizations and maps for risk models.

Skills

Data Analysis

GIS

Python

Problem-solving

Communication

Education

Undergraduate degree in data science, computer science, environmental engineering, or electrical engineering

Tools

ArcGIS

Python

QGIS

Job description

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

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

3 weeks ago Be among the first 25 applicants

Terrafuse is building AI technology that makes climate and weather modeling 1000x faster and 100x cheaper than any other product on the market, unlocking fundamentally new use cases in climate risk and other business domains.

Our technology combines our academic expertise in climate science and machine learning, developed from our work at Lawrence Berkeley National Lab and supported by the National Science Foundation, NASA the U.S. Department of Defense, and Microsoft AI for Earth. Our vision is to develop a Queryable Earth in which cloud-native Earth observation and climate data are combined with AI to produce actionable insights into climate for businesses and society.

Our starting points are wildfire and wind. Extreme wildfire conditions have increased by 50% in the last few decades as a result of climate change and insurance companies are now refusing to insure homes and businesses in California, because they are unable to accurately predict their losses. Our product enables accurate pricing of this insurance, making it again economically possible to offer coverage to homeowners and businesses. Our customers also include government players in aviation and clean energy.

Terrafuse has developed a groundbreaking wildfire risk model that accurately predicted the devastating Los Angeles fires and continues to anticipate future fire events. This technology plays a critical role in disaster preparedness and response, and the work of this intern could directly contribute to saving lives and mitigating environmental damage.

Role Overview: We are seeking a highly skilled and motivated Environmental Engineer, Intern, to join our team. This role is ideal for someone who has strong technical expertise in environmental engineering, data analysis, and geographic information systems (GIS). As an intern, you will support critical projects by utilizing Python and ArcGIS to analyze and interpret environmental data, contributing to impactful solutions for our clients.

Location: Remote or San Francisco Bay Area

Status: Part-Time Internship

Key Responsibilities:

• Build and validate machine learning-based and physics-based catastrophe risk models and assess their alignment with environmental and client standards
• Analyze and process environmental datasets using Python and ArcGIS
• Assist in creating visualizations and maps for risk models
• Contribute to reporting and presentations by providing clear and actionable insights from data analysis
  
  

Qualifications:

• 5-7 years of experience in software engineering, environmental engineering, data science, or a related field, with a focus on GIS and data analysis (cumulative academic and professional experience acceptable)
• Proficiency in Python for data analysis, visualization, and modeling. Knowledge of other programming languages is a plus
• Experience building machine learning models
• Experience with cloud-based GIS solutions and data platforms
• Strong knowledge of ArcGIS or QGIS, including spatial analysis, data management, and mapping
• Familiarity with validating catastrophe risk models and understanding their implications
• Excellent problem-solving skills and attention to detail
• Effective communication and teamwork abilities
  
  

Preferred Qualifications:

• Knowledge of machine learning or statistical modeling for environmental applications
• Familiarity with additional programming languages or tools, such as R or QGIS
• Undergraduate degree in technical discipline, such as data science, computer science, environmental engineering, or electrical engineering
  
  

What We Offer:

• Flexible part-time hours to accommodate your schedule
• Hands-on experience working on impactful environmental projects
• Opportunity to collaborate with a team of passionate professionals in a dynamic environment
• Mentorship and professional development opportunities to advance your career
• $40-$80 per hour based on qualifications and experience
  
  

Application Process: To apply, please submit your resume, a cover letter highlighting your relevant experience, and a portfolio or examples of previous work. Applications will be reviewed on a rolling basis.

Terrafuse AI is committed to creating an inclusive and diverse workplace. We encourage candidates of all backgrounds to apply and join us in our mission to drive sustainable change.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Part-time

Job function

• Job function

  Analyst

• Industries

  IT Services and IT Consulting

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