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Data Scientist

Position Summary:  

This role is focused on bringing together disparate data sources from partners, organizing data into 'layers' on mapping systems, enabling growers to plan & execute decisions on labor, nutrients, & irrigation. Position is remote / home-based; preference for candidates in PST. 

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 highly complex data sets to ask the right questions and find the right answers.  



  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing 

  • Data pipeline: advanced knowledge of Python to pull data from data/IoT partners via APIs; knowledge of Azure Data Factory a plus. 

  • Database management: maintain SQL & MySQL database services 

  • Data interpretation, visualization, & mapping: Manage and layers of soil, water, nutrient, yield, labor data onto API-based mapping services 

  • Collaborate with engineering team to bring analytical prototypes to production 

  • Generate actionable insights for business improvements 



  • Minimum Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) and 3 years of experience. Advanced degree preferred. 

  • Precision agriculture context and training strongly preferred. 

  • At least 1 - 2 years' of experience in quantitative analytics or data modeling 

  • At least 1 - 2 years' experience in cloud computing platform (Azure preferred) 

  • Knowledge of spatial analysis, GIS / mapping tools, & API-based mapping services (Mapbox, Azure Maps, ArcGIS or QGIS) 

  • Fundamentals in predictive modeling, machine-learning, clustering and classification techniques, and algorithms (including tools such as SciKit-Learn, PyTorch, TensorFlow). Image-based classification highly desirable. 

  • Fluency in a programming language (advanced knowledge of Python & SQL, Javascript desirable) 

  • Familiarity with Big Data frameworks and visualization tools (Spark, PowerBI, Tableau) 

  • Documentation with Git tools (GitHub) 


Pay and Benefits:  DOE: Full time roles qualify for health, dental, 401K, holiday, vacation, and sick pay, as well as stock options. 


Applicant Required Documents: 

  1. Resume or Curriculum Vitae (Please send documents to 

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