Data Scientist Intern - UIUC
BayerUpdate time: September 21,2020
Job Description

YOUR TASKS AND RESPONSIBILITIES

 

The primary responsibilities of this role, Data Scientist Intern – UIUC, are to: 

 

  • Build and validate predictive models incorporating key breeding data, soil, weather and environmental data;
  • Demonstrate the application of the models and deploy them to stakeholders.

 

WHO YOU ARE

 

Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:

 

Required Qualifications:

 

  • Must be currently enrolled at the University of Illinois-Champaign Urbana pursuing an advanced degree MS/Ph.D. student in Computer Science, Statistics, Data Science, Mathematics or Computational Biology;
  • Proficiency in Machine Learning and Statistics algorithms and concepts (Mixed Models, Random Forest, Deep Learning, SVM, etc.);
  • Strong programming skills in R, Python, SQL, Java or Linux;
  • Experience with cloud computing such as Hadoop and Spark;
  • Problem solving ability and experience in analyzing and presenting complex data;
  • Organizational, interpersonal and written communication skills;
  • Strong business aptitude, the ability to rapidly learn new problem domains and become conversant in the domain with subject matter experts;
  • Ability to communicate complex ideas in a clear, precise and actionable manner;
  • Detail and results oriented with the ability to work independently;
  • Ability to actively engage with internal partners and external collaborators to align strategies and success measures in analytics;
  • Able to work 10-20 hours per week if interning during the semester;
  • Able to work 40 hours per week if interning during the summer;
  • Be registered and currently enrolled at the University of Illinois Urbana-Champaign.

 

Preferred Qualifications:

 

  • Willingness to extend own data science and statistical interests to agriculture and/or experience working with agricultural/biological scientific data.

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