Senior Scientist - Modeling

Regrow is seeking a Senior Scientist - Modeling to develop algorithms for improving soil management practices and analyzing geospatial datasets. Responsibilities include supporting carbon measurement and modeling, collaborating with engineering teams, and developing statistical models. Candidates should have a Ph.D. in relevant fields, strong programming skills, and experience with soil carbon modeling. The position promotes diversity and is fully remote.
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 internationally
• Analyze large remotely sensed, geospatial datasets for agriculture and rangeland applications
• Develop and implement algorithms that support measurement, reporting and verification of carbon and ecosystem service outcomes to support natural climate solutions
• Develop techniques for rapid soil carbon and soil nitrogen quantification
• Assist with the development of statistical models and algorithms to improve model performance
• Research the impacts of soil biogeochemical cycles and farm management practices on mitigating the impacts of climate change on agriculture
• Work closely with engineering to implement and parametrize mechanistic models (DNDC, APEX) to scale internationally
• Assist 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 fields
• Excellent programming skills in Python, and C++ or C# or C or FORTRAN
• Significant experience with soil carbon measurement and modeling using DNDC, DAYCENT, MEMS, or similar models
• Experience with environmental statistics, spatial statistics, or spatio-temporal statistics
• Experience working in a team and ability to work with people from a variety of backgrounds, including software engineers, scientists, and business teams
• The ability to translate your technical knowledge into insights accessible to our team and our customersDesired Qualifications:
• Experience with Linux/Unix, cloud computing, and version control
• Experience in modeling yield and productivity resilience based on soil and environmental drivers.
• Experience with open-source geospatial libraries, e.g. GDAL, OGR, Fiona, Shapely
• Experience and interest in agriculture, geography, process-based modeling
• Experience developing applications independently, as well as in a team
• Experience with software development life cycle
• Strong focus and desire to understand and meet customer needs, adjusting the models to meet the real world requirements