Regrow Ag powers agriculture resilience for today’s leading retailers, CPGs, processors, and farmers.
Regrow’s Agriculture Resilience Platform gives companies across the ag supply chain the ability to assure their supply chains and protect operational integrity by accelerating the needed scale of GHG emissions reduction, adoption of regenerative farming practices, and proactive adaptation to the changing climate.
Recently named one of the TIME100 Most Influential Companies of 2023, Regrow’s rapidly growing list of partners includes Cargill, General Mills, and Kellanova.
Regrow earned the standing of No. 41 on Fast Company’s list of the World’s 50 Most Innovative Companies in 2023 and was named the No. 1 Most Innovative Company in Agriculture.
Team: Environmental Modeling
Location: Remote
Who We Are
We are a climate tech company committed to reversing climate change. How do we reach this lofty goal? By disrupting the agriculture industry!
Founded by globally recognized innovators in science and ag technology, Regrow is unlocking the power and profitability of resilient agriculture across the supply chain — from growers to global food brands. Regrow combines best-in-class agronomy, soil and carbon modeling, and innovative data collection to deliver customized, site-specific, and scalable solutions to the agri-food industry.
Our customers are frontrunners in agri-food and agtech, ranging from global market operators, project developers, global food brands, and independent farmers. We help partners measure their impact on the environment, model and implement changes that will be environmentally and financially sustainable and track partners’ progress against sustainability goals.
We're backed by leading investors, such as Galvanize Climate Solutions, Microsoft's Venture Fund, Cargill, The Grantham Environmental Trust (NCO), AJAX Strategies, and more, all of whom believe in our vision to change the world through resilient agriculture.
Our Mission
Agriculture has the power to reverse climate change. We believe science and technology can help us get there.
Our goal is to use farmland to cool the earth. We are currently monitoring 200 million acres of land in over 45 countries. This year alone, with just one project, our carbon emissions reductions are equivalent to taking 17,000 cars off the road! We are already on our way to a more sustainable planet.
Job Summary
Regrow is looking for a Senior Scientist to develop and implement algorithms, primarily in Python to advance sustainable agricultural practices worldwide. You will be working closely with our environmental modeling team and remote sensing teams to advance the DNDC model among other environmental models.
Envision Yourself Here
Does this sound like your dream job? If so, go ahead and apply for the position and we’ll be in touch. We appreciate your interest in Regrow.
While it may go without saying once you see the diversity on our current team, we encourage diversity on our team at all levels of the company. We are committed to fostering a diverse, inclusive environment and to encourage these values in everyone on our team. We provide an environment of mutual respect where opportunities are available without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We believe that diversity and inclusion for people from all walks of life is key to our success as a company.
What you will do:
Work with the environmental science and remote sensing science teams to develop and implement algorithms that will help improve soil management practices nationally and internationallyAnalyze large remotely sensed, geospatial datasets for agriculture and rangeland applicationsDevelop and implement algorithms that support measurement, reporting and verification of carbon and ecosystem service outcomes to support natural climate solutionsDevelop techniques for rapid soil carbon and soil nitrogen quantificationAssist with the development of statistical models and algorithms to improve model performanceResearch the impacts of soil biogeochemical cycles and farm management practices on mitigating the impacts of climate change on agricultureWork closely with engineering to implement and parametrize mechanistic models (DNDC, APEX) to scale internationallyAssist with the development of case studies and reports by providing insight into soil health and soil carbon processes modeled by DNDCQualifications:
Ph.D. Degree in earth systems science, environmental science, natural resources, carbon cycle science, or related fieldsExcellent programming skills in Python, and C++ or C# or C or FORTRANSignificant experience with soil carbon measurement and modeling using DNDC, DAYCENT, MEMS, or similar modelsExperience with environmental statistics, spatial statistics, or spatio-temporal statisticsExperience working in a team and ability to work with people from a variety of backgrounds, including software engineers, scientists, and business teamsThe ability to translate your technical knowledge into insights accessible to our team and our customersDesired Qualifications:
Experience with Linux/Unix, cloud computing, and version controlExperience in modeling yield and productivity resilience based on soil and environmental drivers.Experience with open-source geospatial libraries, e.g. GDAL, OGR, Fiona, ShapelyExperience and interest in agriculture, geography, process-based modelingExperience developing applications independently, as well as in a teamExperience with software development life cycleStrong focus and desire to understand and meet customer needs, adjusting the models to meet the real world requirements