Monsanto Intern: Predictive Analytics (Deep Learning) in St. Louis, Missouri

Position Overview:

The Predictive Analytics (Deep Learning) Intern will develop the cutting-edge highly predictive algorithm for precision & prescriptive placement model to maximize yield potential of our products in every grower’s field. You will support Climate’s efforts in Decision Agriculture by developing novel methods and leveraging big data to solve tasks that will disentangle the factors of variation from product performance, weather, and field characteristics to enable the field level advisor and better farmer experience. In addition, you will learn the decision-making process in Climate’s product development pipeline, to gain experience in implementing Big Data analytics models in the Ag industry.

What You Will Do:

  • Support Climate’s efforts in Decision Agriculture by developing novel methods and leveraging big data to solve tasks that will disentangle the factors of variation from product performance, weather, and field characteristics to enable the field level advisor and better farmer experience

  • Learn the decision-making process in Climate’s product development pipeline to gain experience in implementing Big Data analytics models in the Ag industry.

Basic Qualifications

  • Must be currently enrolled in a Ph.D. degree program in Statistics, Mathematics, Computer Science, Operations Research, or a related discipline with a focus on machine learning (deep learning)

  • Theoretical or practical experience of deep learning research: autoencoders and Restricted Boltzmann Machines for feature abstraction; general Deep Learning algorithms such as Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN).

  • Demonstrated programming skills with R or Python or Java, and related deep learning packages

  • Demonstrated experience in using certain open-source deep learning packages (e.g., TensorFlow) to solve real-world problems

Preferred Qualifications

  • Familiarity with spatial predictive modeling

  • Familiarity with heterogeneous modeling

  • Data mining and managing of large data sets

  • Ability and inclination to work in multi-disciplinary environments, and desire to see ideas realized in practice

  • Strong analytical, written and verbal communication skills

What We Offer:

Our environment is extremely engaging and fast-paced, with a diverse set of top engineers, agronomists, and statisticians working together to provide the best possible products and experiences for our customers.

  • We offer competitive pay and perks.

  • We provide meals and a large assortment of snacks and drinks to get you through the day.

  • You’ll get 1:1 mentoring from a talented and motivated employee on your team.

  • You’ll have the opportunity to work on real projects with experienced employees and have a direct impact on the company. (Our internships are not summer camp!)

  • You’ll have the amazing opportunity to participate in one of our Biotechnology Tours where you get out of the office and into the field (literally) with agents and farmers.

  • You’ll work in an award-winning office with smart designs, large common areas and open floor plans that fuel collaboration.

  • You’ll attend various events, activities, and off-sites - we make sure interns are having fun!

  • We regularly host meet-up groups and tech-talks and encourage participation in relevant workshops and conferences

  • You’ll have the opportunity to interact with key executives and leaders.

Learn more about our team and our mission:

The Climate Corporation - The Technology Behind Making A Difference

https://youtu.be/c5TgbpE9UBI#LI-DNP

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 access our disability accommodations process for further assistance. 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 Poster; EEOC Supplement.