Monsanto Analytics Automation Intern in ST. LOUIS, Missouri
We are seeking a motivated Analytics Automation Intern. This position will be located in Chesterfield, Missouri reporting to our Field Production Analytics Lead.
The Analytics Automation Intern will shift from theory-based statistical programming to development of analytics modules that excel in computational efficiency in terms of speed, accuracy, and robustness. As part of our diverse, highly dynamic group, you will work side-by-side with a team of exceptional data scientists with diverse backgrounds (Statisticians, Mathematicians and Engineers) to foster your career growth while delivering next-generation scientific breakthroughs.
Dates for this summer internship are May 13 - August 2 of 2019.
Apply cutting age computational techniques and algorithms to develop R modules for modeling and analysis of data from our agricultural experiments
Collaborate closely with the members of the Data Science & Analytics team, biotech scientists and members from R&D IT.
Candidates must be currently enrolled in university within the U.S. pursuing a Ph.D. degree in Statistics, Biostatistics, Mathematics, Computational Statistics, Computational Mathematics, or a closely related area
Proficiency in R programming with experience in development of computationally efficient R packages in statistics/data science
Experience in interfacing R with high level programming languages such as Python and/or MATLAB to enhance computational efficiency
Experience in application of numerical methods for dealing with large and high dimensional unbalanced data structure
Knowledge of Analysis of Variance, General and Generalized Linear Mixed Model, Regression and other related statistical methodologies and the implementation of these techniques in R
Experience in machine learning and predictive analytics
Strong communication skills for effective interactions with senior business/R&D stakeholders as well as peer groups and team members
Experience in cloud computing and/or parallel computing, e.g. cluster computing or GPU computing
Experience with numerical linear algebra for solving linear systems with sparse and ill-conditioned matrices
Domain knowledge and training in crop science discipline
Bayer successfully completed the acquisition of Monsanto in June 2018, bringing together Monsanto’s leadership in seeds and plant traits with Bayer’s leadership in chemical and biological crop protection. By joining forces, we will create even more extensive career opportunities for talent around the world. We’re a global team working to shape agriculture through breakthrough innovation that will benefit farmers, consumers, and our planet.
While we are now Bayer, we will continue to hire using separate career sites until we can integrate our career platforms. We invite you to explore the career opportunities available at the combined company by visiting advancingtogether.com/careers .
Organization: US Biotech-API- Data Science and Analyti51192425_
Title: Analytics Automation Intern
Location: North America-USA-Missouri-St. Louis
Requisition ID: 01RXC
Job: Research & Development
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