Applied Scientist (Geoscience)

Santa Fe, NM or San Francisco, CA or New York, NY
With streamlined access to petabytes of science-ready geospatial data and the computing power to go with it, the Applied Science team at Descartes Labs is building a digital twin of the earth.  We model our planet by combining sensor data with a mix of physical, statistical, and machine learning modeling approaches.

We’re looking for geologic modeling experts to make sense of this data, provide value to our mining and oil & gas clients, and develop new approaches for working with large amounts of geospatial data.


    • Use geospatial remote sensing data sets, including multi-spectral satellite data, seismic, gravity, and magnetics to model earth systems
    • Creatively combine geologic, ancillary data, and client data to answer tough science questions and solve client problems
    • Interact with clients to brainstorm methodologies and present results
    • Work with our engineering team to continuously improve our platform

Required Skills & Experience

    • Bachelors and advanced degrees (MS/PhD) in relevant fields (e.g. Geology, Computer Science, Data Science, Statistics)
    • Strong statistical background
    • Experience with geospatial remote sensing data
    • Demonstrated proficiency in a scientific programming language - preferably Python (numpy, pandas)
    • Strong written and verbal communication skills
    • Self-motivated and able to work independently


    • Exploration for precious metals
    • Experience with metamorphic and alteration systems related to precious metals
    • Experience with multispectral satellite for mining (ASTER etc)
    • Field experience in creating published geologic maps
    • Peer-reviewed published journal articles on related topics
    • Experience with version control software (e.g. GitHub, Mercurial, Subversion, etc.)
    • Experience with cloud and/or distributed computing