Data Science Remote Sensing Intern

Number of employees

400

Berkeley, CA, United States

Posted on: 2023-01-23

Category: agritech

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Employment type:

Internship

Remote?

Yes

Experience required:

Intern

Salary

Salary not provided

About the company:

Pivot Bio is the leading nitrogen innovator providing farmers and the world with a better nitrogen for improved productivity and sustainability

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.  

 Responsibilities:  

  • 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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