Data Scientist, Imagery at Indigo

| Greater Boston Area
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What if nature could be harnessed to help farmers sustainably feed the planet? Since 2014, Indigo has questioned agriculture's full value chain to improve grower profitability, environmental sustainability, and consumer health. The company’s scientific discoveries and digital innovations have amplified new value from soil to sale, benefiting more than 10,000 growers to date. Indigo is also the company behind The Terraton Initiative, a global effort to drawdown one trillion tons of atmospheric carbon dioxide by unlocking the potential of agricultural soils. In 2019, Indigo was ranked #1 on CNBC’s Disruptor 50 list. Headquartered in Boston, MA, Indigo has additional offices in Memphis, TN; Research Triangle Park, NC; Sydney, Australia; Buenos Aires, Argentina; Basel, Switzerland; and São Paulo, Brazil. 

As an Imaging Data Scientist on our GeoInnovation team, you will use your knowledge of image processing principles, experience with handling geospatial data from a variety of sources at different scales, and skills with analytical techniques applied to agricultural problems to help create infrastructure and understanding directed toward creating a living map of the world’s food supply and expanding beneficial agricultural practices.

  • Build deep understanding of existing algorithms and imaging data assets
  • Build automated QC pipeline for existing and future imaging data
  • Evaluate different imaging platforms and technologies
  • Develop algorithms aimed at maximizing information capture from UAV, MAV and satellite data feeds
  • Contribute to components of in-flight imaging analyses
  • Take ownership of discrete tasks, delivering on challenging deadlines
  • Collaborate with engineering staff on scaling your work
  • Building algorithms at field/sub-field level to solve real-world problems and help growers/producers with their decision making
  • Fluent in Python (preferred) or R, capable of framing problems as programming tasks from the ground up, as well as working with existing code
  • Can use and understand geospatial/statistical/machine learning libraries in Python or R
  • Can work with and understand a wide range of geospatial data formats
  • Can use git for day-to-day version control
  • Strong knowledge of image processing and remote sensing
  • Knowledge of GIS concepts and experience with vector geospatial data
  • 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 well-documented, maintainable code in a collaborative environment
  • Masters or PhD degree with a quantitative focus preferred
  • 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
  • Familiarity with these subjects are strongly preferred: digital agriculture, crop physiology, optical sensors, signal processing


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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On the edge of Charlestown, we are within walking distance to restaurants and bars. The Sullivan Square T and bus stop is also right next door!
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