Data Science Remote Sensing Intern

Pivot Bio Remote
data data science science remote remote sensing intern data pivot bio remote remote sensing data science science
January 23, 2023
Pivot Bio
Berkeley, CA
About Pivot Bio:

Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Our products harness the power of naturally occurring microbes to provide nutrients to crops and new sustainable ways for farmers to reduce the usage of fertilizers as they work to help feed the world's growing population.

Read/Hear more about Pivot Bio on Forbes or PBS News Hour.

Position: Data Science Intern

Target Start Date: Summer 2023

We are looking for a summer intern on our Data Science team. Pivot Bio has an active and ambitious field trialing program which seeks ever-growing support from UAV and satellite data sources. The pace of technology development in the remote sensing space is quick, and the data science team aims to ensure we are always getting the most we can out of remotely sensed data. We are seeking applications for a full-time internship lasting approximately 3 months.


Build statistical models of relevant crop phenotypes using remote sensing data gathered from UAV and satellite sources

Keep up to date on newer satellite and UAV data sources

Develop reusable code to perform common operations on remotely gathered data

Communicate clearly to stakeholders in other teams, including Product Innovation and Commercial

Physical Demands:

Job will involve mostly office and computer-based work

Repeating motions that may include the wrists, hands, or fingers

Sedentary work that primarily involves sitting/standing

Communicating with others to exchange information

Qualifications and Experience

Experience manipulating raster data in Python or R, including loading, visualizing, preprocessing, and creating derived products

Experience with multitemporal analysis of remote sensing data

Familiarity with current space-borne remote sensing products

Familiarity with spatial statistics techniques

Strong Python (preferred) or R skills in data analysis including linear regression

Experience with SAR datasets a plus

Please include the word 'diazotroph' somewhere in your application.

  • Must be authorized to work in the United States*

What we offer:

Opportunity to gain professional experience in a progressive company

Exciting opportunity to work with a talented and fun team

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