Remote Sensing Intern

Job Description

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.

Responsibilities:
- Support the remote sensing data science team for algorithms related to regenerative agriculture
- Help to compile ground and ancillary data sets in support of model estimation and evaluation
- Effectively interface with indigo field teams and tools
- Field webcam imagery analysis; identify events; support data management plan; create ROI time series
- ML support for event modeling e.g. plant date, harvest date, tillage (we’re going to have a large amount of machine data coming from FDS)
- Pick up regen resiliency study work post-report deadline
- Intercomparison of our regen products with OPTIS, possibly in collaboration with Dagan
- Scope out use of novel remote sensing data sets such as, for e.g., GOES-16 ABI or TROPOMI SIF data

Qualifications

- Ability to build a variety of effective statistical models from large-scale, real-world datasets
- Ability to effectively visualize data in a clear and compelling manner
- Self-directed, able to build and drive their own agenda for improvements & experiments
- Works well both as a team member and independently
- Can translate the results of complex analyses into interpretable results, visually and verbally
- Coding skills, and an interest in improving an existing codebase
- Writes well-documented, clean, maintainable code in a collaborative environment
- Experience with git or similar
- Experience with geospatial data, remote sensing or imagery data (not required but useful)
- Experienced using Python and/or R for data analysis (fluency in both is great)
- Working on or completed an academic degree with a quantitative focus
- Desire to work in a software and/or product development environment
- Experience with either AWS or Google Cloud (not required, but useful)