Data Scientist, Remote Sensing

Indigo improves grower profitability, environmental sustainability, and consumer health through the use of natural microbiology and digital technologies. Utilizing beneficial plant microbes and agronomic insights, Indigo works with growers to sustainably produce high quality harvests. The company then connects growers and buyers directly to bring these harvests to market. Working across the supply chain, Indigo is forwarding its mission of harnessing nature to help farmers sustainably feed the planet. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil.      

As a Remote Sensing Data Scientist on our GeoInnovation team, you will use your knowledge of remote sensing principles, experience with handling geospatial data from a variety of sources, and skills with analytical techniques applied to Earth and environmental problems to help create infrastructure and understanding directed toward creating a living map of the world’s food supply.



  • Build deep understanding of existing algorithms and data assets
  • Contribute to components of in-flight remote sensing analyses and development
  • Take ownership of discrete tasks, delivering on challenging deadlines
  • Collaborate with Engineering staff on scaling your work
  • Develop awareness of, and contribute to as much as possible, tasks that others directly responsible for


  • Fluent in Python, capable of framing problems as Python programming tasks from the ground up, as well as working with existing code
  • Can use and understand Python FOSS geospatial libraries: GDAL, GeoPandas, Shapely, Fiona, PyProj
  • Can work with and understand a wide range of geospatial data formats
  • Can use git for day-to-day version control
  • Knowledge of fundamental remote sensing concepts and some experience with RS data
  • Knowledge of fundamental GIS concepts and some experience with non-RS (including vector) geospatial data
  • Knowledge of basic statistical methods for data analysis
  • Can translate the results of complex analyses into interpretable results, visually and verbally
  • Able to create and execute their own tasks with minimal direction
  • Works well both as a team member and independently
  • Writes reasonably well-documented, maintainable code in a collaborative environment


  • An academic degree with a quantitative focus, MS or PhD not required
  • Substantive 1-2+ years experience in a software or technology focused environment
  • Some experience 6+ months with AWS, Google Cloud, or other large scale computing environment



Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.


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