Monsanto AI Quantitative Researcher (Seeds & Placement) in St. Louis, Missouri

Our mission at Climate is to help all the world's farmers sustainably increase their productivity by building a digitized platform where every farmer is able to optimize and flawlessly execute every decision on the farm. Achieving this vision demands revolutionizing agriculture through technology. Agriculture adoption of GPS, sensors, imaging and state-of-the art precision equipment has enabled the creation of computer generated prescriptions for farmers’ fields. The agricultural transformation from simple, mechanical based operations to complex computer based systems is possible because of data science & analytics. The digital revolution in agriculture rivals past technology changes such as mechanization, hybrid seeds, and biotechnology. There has never been a greater demand for your skills in agriculture.

Position Overview:

We are seeking a highly motivated professional who shares our passion for innovation in the area of predictive analytics to join our Seeds & Placement team in Science to create predictive models that increase the precision, accuracy, and global scalability for the placement of right amount of seeds into every meter of a farmers field. This team has access to data you have only dreamed about and is driving creation of simple, predictive, and prescriptive models that will shape the future of the agriculture industry. We work on hard problems because we love the challenge. As part of our diverse, highly dynamic group, you will work side-by-side with a team of exceptional data scientists with diverse backgrounds (Mathematicians, Statisticians, Computer Scientists, Engineers) to foster your career growth and deliver next-generation scientific breakthroughs. If you are passionate about sustainably feeding a growing planet through the world’s farmers, The Climate Corporation would love to talk to you!

What You Will Do:

  • Integrate artificial intelligence, AI, techniques into novel, scalable models that leverage heterogenous data across the growing season (in-field soil & weather variables, agronomics, equipment, imagery and real-time sensors) to prescribe optimal products & seeding rates

  • Deliver science @ scale in an industrial setting

  • Generate actionable farmer prescriptions anchored in book theory, e.g. planting, harvest, and spray recommendations that account for farmer equipment and time constraints

  • Efficiently translate Bayesian models and recommendations into scalable code

  • Solve computational challenges of scaling complex AI algorithms on big data with engineer partners

  • Leverage cloud computing

  • Jointly identify library packages in scalable languages or create new functionalities

  • Create and apply anomaly detection algorithms

  • Implement quantitative, empirical, geospatial statistical methodology to characterize and predict how products will respond across diverse farmer fields

Basic Qualifications:

  • PhD or Masters plus 2 years of experience in Statistics, Mathematics, Computer Science, Engineering, or a related discipline with a focus on use of predictive analytics and Artificial Intelligence

  • Familiarity with multiple regression techniques, multivariate analysis, mixed models

  • Strong computational skills in two or more of the following statistical software: R, SQL, Python, ASReml, or PERL

  • Knowledge of experimental design, data analysis, and data management

Preferred Qualifications:

  • Proven experience using multiple forms of AI such as machine learning, deep learning, tensor flow, neural networks or predictive analytics

  • Good understanding of the machine learning/deep learning and statistical theory for feature engineering, feature selection and creation of ensemble methods

  • At least one year experience with applying quantitative research

  • Ability to solve and communicate challenging and complex analytical problems, and willingness to extend own statistical and mathematical interests into new fields of research and development

  • Excellent entrepreneurial thinking, innovation, and real world problem solving skills

  • Strong communication skills for effective interactions with senior business stakeholders as well as peer groups and team members

What We Offer:

Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers.

We provide competitive salaries and some of the best perks in the industry, including:

  • Superb medical, dental, vision, life, disability benefits, and a 401k matching program

  • A stocked kitchen with a large assortment of snacks & drinks to get you through the day

  • Encouragement to get out of the office and into the field with agents and farmers to see first-hand how our products are being used

  • We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development

We also hinge our cultural DNA on these five values:

  • Inspire one another

  • Innovate in all we do

  • Leave a mark on the world

  • Find the possible in the impossible

  • Be direct and transparent

Learn more about our team and our mission:

The Climate Corporation - The Technology Behind Making A Difference or visit

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.