Business Analytics & Data Science Intern
BayerUpdate time: September 16,2020
Job Description

 

YOUR TASKS AND RESPONSIBILITIES

 

The primary responsibilities of this role, Business Analytics and Data Science Intern, are to: 

 

  • Work with large amounts of data in service of concrete conclusions and actionable insights;
  • Communicate complicated technical topics and nuanced insights to diverse audiences;
  • Learn new tools and languages quickly as required by the particular project you are working on, with tasks ranging from data processing to production engineering to modeling and machine learning;
  • Write data pipelines to convert raw data into aggregated data that can be used as signals;
  • Build cutting edge machine learning algorithms to gain deeper insights into the brand and drive sales;
  • Automate data pipelines by doing ETL in cloud data systems such as Snowflake;
  • Clean data and build pipelines for assistance with brand level ad-hoc analysis.

 

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:

 

  • Currently pursuing a Master’s degree in Data Science, Business Analytics, Computer Science, Information Systems or any other Quantitative discipline;
  • Strong knowledge of and experience with databases (SQL, etc.) and strong programming knowledge in Python.

 

Preferred Qualifications:

 

  • An interest in, and some exposure to, one or more of the following tools and techniques, SQL, Tableau, Alteryx, Natural Language Processing (NLP), Data processing and basic statistical methods;
  • Previous experience in developing and maintaining complex big data analytical solutions;
  • Experience with Machine Learning/Statistical Learning;
  • Previous experience working with cloud-based data and analytics platforms, standard business intelligence dashboards and data enrichment techniques.

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