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.

Key Responsibilities:

  • 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.

Required Skills/Experiences:

  1. 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

  2. Proficiency in R programming with experience in development of computationally efficient R packages in statistics/data science

  3. Experience in interfacing R with high level programming languages such as Python and/or MATLAB to enhance computational efficiency

  4. Experience in application of numerical methods for dealing with large and high dimensional unbalanced data structure

  5. 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

  6. Experience in machine learning and predictive analytics

  7. Strong communication skills for effective interactions with senior business/R&D stakeholders as well as peer groups and team members

Desired Skills/Experiences:

  1. Experience in cloud computing and/or parallel computing, e.g. cluster computing or GPU computing

  2. Experience with numerical linear algebra for solving linear systems with sparse and ill-conditioned matrices

  3. 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 .

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

Schedule: Full-time

At Monsanto, we value a diverse combination of ideas, perspectives and cultures. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, age, sex, sexual orientation, gender identity, gender expression, status as a protected veteran, or status as a qualified individual with a disability. If you need a reasonable accommodation to access the information provided on this website, please for further assistance.access our disability accommodations process

U.S. Employment Law (applicable for U.S. jobs ONLY): EEO Employer Minorities/Females/Protected Veterans/Disabled. For information about equal employment opportunity rights, please refer to this information from the U.S. federal government: ; .

EEOC PosterEEOC Supplement