Geospatial Data Scientist (Intern)
- Reviewing project documentation and extracting key data
- Supporting client deliverables such as slide decks and reports
- Performing spatial analysis and statistics on geospatial datasets to identify trends across space and time
- Acquiring, cleaning, transforming, and modeling geospatial data for repeated use
- Contributing to data analysis, MVP development, or one-off analyses for strategic clients, partners, or enterprise prospects
- Researching scientific literature and economic publications to extract variables relevant to geospatial analysis
- Learning new scientific and technical domains quickly (with support from the team)
- Labeling geospatial data to support service testing and prototyping
- Collaborating with Marketing, Sales Enablement, and Product teams to explore broader applications of your analysis and help graduate prototypes into the product roadmap
- Working with Marketing, Commercial, and Product on wider applications of analysis or to support graduation of prototypes into the main product roadmap
- Able to answer geospatial questions programmatically using open-source libraries (vector and raster formats)
- Comfortable working in Python and SQL (experience in software development using these is a plus)
- Enthusiastic about geospatial data science and keen to deepen your skills
- Strong quantitative analytical skills, with demonstrated experience in spatial statistics
- Experience in climate science, natural risk, or meteorological modeling is a plus
- Experience with causal inference is a significant bonus
- A self-starter with strong interpersonal skills, able to collaborate in a fast-moving, high-uncertainty environment
- Practical work experience of any kind whether in hospitality, manufacturing, startups, or professional services
- Deeply cares about the climate and the ecosystems of our planet
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