In Bayer’s Crop Science division, we shape agriculture through breakthrough innovation that helps to nourish our growing world, preserve natural resources and deliver better solutions for all farmers. Using the creative spark that comes from human ingenuity, we seek to deliver world-class innovation, set new standards in sustainability, and drive our digital transformation. Our products include high-performance seeds & traits, crop protection solutions, and digital farming tools.

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Computer Science Engineering Co-Op, are to: 

• Design, develop, document and deploy data visualization reports, dashboards, tools and insights to support Pipeline Delivery packaging operations and up/downstream stakeholders of optimal on-time delivery of products;
• Meet with users to understand their analytic needs and suggest best ways to visualize the data;
• Create visualizations that transform sophisticated data into more accessible, understandable and usable to drive impactful insights;
• Improve existing data processes and pipelines by implementing automation, troubleshooting, data tuning and performance concepts creatively;
• Ensure data quality, consistency, and documentation of all developed dashboards and reporting;
• Conduct operation research to optimize processes and identifying the probable causes of workload variances;
• Identify upstream supply chain deliverables that can be used as leading indicators for on time delivery.

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 enrolled in a Master’s or Ph.D in Computer Science, Engineering, Mathematics, Statistics or STEM field;
• Experience in developing Business Intelligence;
• Visualization methods/techniques spotfire, Microsoft BI or other data visualization tools;
• Knowledge in SQL, Tabular R or other programming language;
• Experience in Data Acquisition and Manipulation;
• Excellent verbal and written communication skills;
• Ability to leverage data driven decisions and create digital summarizations and insights;
• Ability to work 40 hours from January through June 2021.