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John Deere Company

Data Scientist - Precision Ag Analytics

John Deere Company

144 2nd St, San Francisco, CA 94105, USA
Full-TimeDepends on ExperienceMid-LevelBachelors
Job Description

As a data scientist you will partner with product managers and engineers to create insights and solutions for our customers. Explore new analytical problems and develop creative solutions within precision agriculture and automation. Work with large geospatial data, including high resolution satellite imagery and environmental data. Develop and prototype analytical pipelines to deliver insights to customers both on the vehicle and in the cloud. Research new analysis and visualization methodologies alongside domain subject matter experts from agronomy, engineering and UX

Where is this job?
This job is located at 144 2nd St, San Francisco, CA 94105, USA
Job Qualifications
  • Experience working on data science problems in agriculture or working with agronomic datasets

  • Experience working with large geospatial datasets is preferred

  • 2 or more years in developing machine learning systems, with extensive experience on deep learning systems

Required Skills
  • Python

  • Analytical skills

  • Creative thinker

  • Tensorflow

  • Statistical analyses

Soft Skills
  • Communication

  • Problem Solving

  • Process Improvement

  • Strategic Planning

  • Detail Oriented

  • Goal-Driven

Additional Information
John Deere Company is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 24th, 2020
Apply BeforeDecember 22nd, 2021
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About John Deere Company

John Deere is the brand name of Deere & Company, an American corporation that manufactures agricultural, construction, and forestry machinery, diesel engines, drivetrains used in heavy equipment, and lawn care equipment.

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