Data Scientist - Intermediate

Company:
Location: St. Louis, MO 63141

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Creve Coeur, MO, United States


The Climate Corporation's mission is to help the world's farmers sustainably increase their productivity with digital tools. The Climate Corporation leads the industry in connected acres, and the rapidly growing volume of on-farm data, in combination with other large data resources, are opening new opportunities to deploy advanced computational and machine learning methods to help farmers increase their productivity and improve the sustainability of their practices.


In order to take advantage of increasing amounts of agricultural and genetic data, the Climate Corporation is seeking an experienced, self-motivated and hands-on Data Scientist to join the Modeling Team. You will focus on supporting and developing new data science methodology to understand key drivers of crop performance for various cropping systems.


What You Will Do
:

  • Design and prototype models based on statistical modeling, machine learning, and data mining in order to solve challenging analytics problems ranging from exploratory to highly applied
  • Manipulate, transform, and analyze abstract data structures
  • Select and apply the most appropriate modeling techniques and data visualization for big data analysis
  • Develop code to implement analysis workflows in a robust and reproducible fashion
  • Assist with high-level analysis, design, and code reviews


Basic Qualifications:

  • Master in Statistics, Data Science, Math, Computer Science, Computational Statistics or other related quantitative discipline
  • Highly proficient in Python, R, and SQL with 3 years of programming experience
  • Experience with database, data wrangling, statistical models, machine learning methods, and their proper application to different data
  • Strong communication and organizational skills


Preferred Qualifications:

  • Ph.D. in Statistics/Biostatistics, Data Science, Computer Science, Computational Statistics or other related quantitative discipline
  • Demonstrate strong analytical skills with creative thinking
  • Strong problem-solving ability to develop quick yet sound and effective solutions to resolve complex issues
  • Effective written and verbal communication skills are required for business delivery
  • Basic knowledge in agriculture and plant genetics would be an advantage
  • Passionate about agricultural science by extracting quantitative insights from data and apply them to crop modeling frameworks
  • A background and training in crop science or quantitative genetics or spatial-temporal modeling is a plus


MON1JP00027462

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