Bayer Crop Science is passionate about using Data Science and Information Technology to improve agriculture. Data Science is critical to the success of Bayer Crop Science today and in the future as we transform into an Information Services company. We are seeking a Data Scientist to join our IT Decision Science team as an intern/co-op in the area of genome analytics. The IT Decision Science team looks to find creative and innovative solutions to enable success within our R&D, supply chain and commercial organizations while identifying and capitalizing on new opportunities to maintain and grow our position as a digital agriculture market leader. The ability to examine and optimize our current methods coupled with an eye on the future lends itself to a unique opportunity within Bayer Crop Science and our team. This is an exciting opportunity for a talented and passionate individual to join a multidisciplinary team of data scientists and engineers who work on real world problems.
The primary responsibilities of this role, Data Scientist Intern, are to: 

  • Develop predictive models using machine learning and traditional statistical models.

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:

  • Pursuing a Master”s degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative disciplines, or a Ph.D. in similar disciplines;
  • Experience applying sophisticated scientific methods in the field of analytics using statistical and mathematical programming packages such as R, Python, Scala;
  • Understanding of advanced analytics methods;
  • Ability to turn complex data into predictive and prescriptive insights;
  • Experience analyzing and presenting complex data, and proven problem-solving abilities;
  • Exceptional organizational, interpersonal, and written communication skills;
  • Ability to work in a matrix environment, influencing people at varying levels of responsibility.

Preferred Qualifications:

  • Experience modeling industry and market trends and competitive threats;
  • Ability to understand the market through product analytics, sales insight, market research and competitive analysis;
  • Customer analytics, customer profiling, and segmentation, evaluating customer segment characteristics across multiple dimensions, producing customer demographic, psychographic, financial, and behavioral profiles to drive client marketing strategies and tactics;
  • Experience with:  Hadoop, Spark, cloud computing, SFDC and SAP platforms and data, Spatial-temporal modeling;
  • Experience working with agricultural/biological scientific data;
  • Strong publication record in leading scientific journals;
  • Drive for translating business problems into research initiatives that deliver business value;
  • Structure complex and ambiguous problems, synthesize findings, develop innovative options, and make recommendations.


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