The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from complex agriculture data sets to ask the right questions and find the right answers. aerialPLOT is pushing the boundaries of field research analytics and the speed at which new products can be developed and enter the market.

Responsibilities

Analyze raw agriculture research data: assessing quality, cleansing, structuring
Perform client reviews of data sets
Design accurate and scalable prediction algorithms
Collaborate with the software team to bring analytical prototypes to production
Generate actionable insights based upon remote sensing data and geospatial/temporal analytics
Translate digital phenotypes into simple product descriptors to help facilitate product development

Qualifications

Minimum bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 2 years' of experience in quantitative agriculture data analytics and/or data modeling
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
Fluency in a programming language (Python or R)
Significant experience in agriculture research required

Preference is towards candidates located in Minnesota but exception remote candidates will be considered.

aerialPLOT

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