Quantitative Researcher: Agronomic Process Modeling - The Climate Corporation - Saint Louis, OR

Quantitative Researcher: Agronomic Processes Modeling Science | San Francisco / Seattle / St Louis, United States Position Overview: The Climate Corporation is looking for an experienced agronomic processes modeler to join the Soil & Crop Processes team. This position is within our Data Science group, which leverages modeling, big data and cloud computing to address scientific challenges in precision agriculture. The team builds predictive models that are used directly by farmers, agronomists and consultants to optimize their management programs and economic returns. The successful candidate will contribute to a range of agronomic model-related research activities: working with complex agroecosystem models, testing models with experimental and observational data, and translating new science results into model improvements. Additionally, this person will have an opportunity to help define field data collection priorities and new research directions that can lead to product improvements. Strong quantitative and scientific computing skills are essential for this role. What You Will Do: Build, test and refine agronomic process models that provide value to our products and customers Evaluate crop and soil processes on agricultural fields and how they affect nutrient conditions and yields Work closely with a team of world-class scientists, engineers and mathematicians to deliver impactful scientific research Derive meaningful insights from large and diverse datasets Communicate research results to various audiences, including non-technical audiences, in the form of model documentation, white papers, and presentations Basic Requirements PhD in an applied science or engineering discipline related to soil and/or crop processes Expert-level understanding of at least one integrated agronomic or agroecosystem model (e.g. DNDC, DSSAT, APSIM, SWAP, etc) as demonstrated through publications or code authorship Strong working knowledge of nitrogen dynamics in agricultural settings Strong proficiency with scientific computing in an interpreted language (such as Python, R or Matlab) Preferred Requirements Scientific expertise in a related soil or crop process (e.g. soil fertility, crop physiology, soil hydrology, etc) Experience linking measurement data with process-based models (e.g. via data assimilation, calibration, optimization and/or performance testing) Developed, tested, and deployed components or modules of a process-based agronomic model in a research context What We Offer : Our team is composed of top scientists and engineers working together in an extremely engaging and fast-paced environment to provide the best possible products and experiences for our customers. We provide competitive salaries, excellent medical benefits, and some of the best perks in the industry, including: Superb medical, dental, vision, life, and disability benefits We provide lunch, dinner and a large assortment of snacks and 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 Unique opportunity to make a real world impact – we are solving problems that have a massive impact on farmers’ lives and food security We strive for the highest quality in everything we do. From the precision of our agronomic models and the performance of our in-house databases, to the food we serve for lunch everyday; we are constantly refining and improving. We let you explore personally compelling topics by occasionally taking time to work on independent projects We regularly host meet-up groups and tech-talks and encourage participation in relevant workshops and conferences 401k matching program Gym membership discounts About Us: The Climate Corporation, a division of Monsanto Company, aims to help all the world’s farmers sustainably increase their productivity through the use of digital tools. The integrated Climate FieldView™ digital agriculture platform provides farmers with a comprehensive, connected suite of digital tools. Bringing together seamless field data collection, advanced agronomic modeling and local weather monitoring into simple mobile and web software solutions, Climate FieldView™ Prime, Climate FieldView™ Plus and Climate FieldView™ Pro give farmers a deeper understanding of their fields so they can make more informed operating decisions to optimize yields, maximize efficiency and reduce risk. For more information, please visit www.climate.com or follow the company on Twitter@climatecorp.

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