Uncubed
           

Data Scientist, Imagery

Indigo, Boston, MA

Harnessing nature to help farmers sustainably feed the planet


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. http://www.indigoag.com/    

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.

Responsibilities

  • 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

Competencies

  • 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

Qualifications

  • 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

 

About Indigo

About us Indigo is a company dedicated to harnessing nature to help farmers sustainably feed the planet. With a vision of creating a world where farming is an economically desirable and accessible profession, Indigo works alongside its growers to apply natural approaches, grow healthy food for all, and conserve resources for future generations. Utilizing beneficial plant microbes to improve crop health and productivity, Indigo’s portfolio is focused on cotton, wheat, rice, corn, and soybeans. The company is headquartered in Boston, MA, with commercial and customer service based in Memphis, TN.

Want to learn more about Indigo? Visit Indigo's website.