Data Scientist

Farmers Business Network

San Carlos, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/02/2021
  • Website: fbn.com
  • Company Address: 1123 Industrial Suite 200, San Carlos, CA, 94070

About Farmers Business Network

Farmers Business Network is an independent and unbiased℠, farmer-to-farmer agronomic information network. Our mission is to improve the livelihood of farmers by making data useful and accessible.

Job Description

How can we sustainably feed the world? With the population set to reach 9 billion by 2050 and available farmland decreasing due to human encroachment and environmental degradation, the odds are stacked against us. This problem falls squarely on the shoulders of farmers at the same time that they are increasingly working harder for less. At FBN, we believe that we can help farmers solve these problems.

Farmers are often forced to make key decisions in the face of significant uncertainty about the impact of these decisions. FBN applies technology and data science to this challenge. We aggregate data from across our rapidly-expanding network of farmers. Then, we leverage the collective intelligence of the network, analyzing our massive datasets to extract insights that help farmers make data-driven decisions.

We're looking for data scientists who are enthusiastic about applying big data to help farmers!

Data science underlies every product that we build at FBN, so you'll see your work directly translate into new products for our farmers. The data science team at FBN:

Explores one of the world's most unique, interesting, and diverse datasets.
Furthers scientific understanding about what affects agricultural production.
Uncovers insights that help farmers efficiently support a growing population.
Makes meaningful improvements in the world by translating data science into products that help farmers increase yield and efficiency.
Required Skills

Deep understanding of statistical modeling concepts.
Familiarity with machine learning algorithms.
Excellent programming skills (R or Python preferred).
Preferred: understanding of agricultural systems (soil chemistry, plant physiology, entomology, etc…).
Required Experience

MS or greater in statistics or related discipline, OR MS or greater in agronomy or related discipline with strong data analysis skills.

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