YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Statistical Scientist Co-op are to:

• Explore data analysis and Q Cing of large volumes of relevant weather, soil, management, and product performance data from various platforms (field, controlled environment, lab) using appropriate statistical and data science techniques;
• Develop and validate models for selecting representative testing locations for developing biological product portfolios;
• Use advanced statistical methodologies/models and machine learning approaches to understand and predict how complex microbial x environment and management practices (MEM) interaction effects impact the performance and stability of key biological products in the pipeline;
• Summarize and present findings to stakeholders and write reports documenting the work and codes;
• Collaborate with cross-functional team members and stakeholders to deliver project objectives

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 degree or a Ph.D. program pursuing a degree in Statistics, Data Science, or a related field;
• Experience and knowledge in applying advanced statistical modeling approaches such as generalized linear mixed models, multivariate statistics, experimental design concepts, etc;
• Gain insights from large and diverse data sets;
• Applied knowledge of machine learning algorithms and methodologies to develop predictive models to drive insights and decisions
• Demonstrated computational skills and strong proficiency in programming languages such as R, SQL, and or python and any visualization packages (R-Shiny, Spotfire, Tableau, etc.); experience in using cloud-based technologies/platforms (Data warehouse, Domino, GitHub, etc.,);
• Strong results orientation and taking initiatives to address opportunities to deliver stakeholder needs;
• Effective communication and collaboration skills and ability to influence cross-functional team members and stakeholders.

Preferred Qualifications:

• Experience in agricultural research.