Senior Soil Carbon Modeler

Agoro is seeking a Senior Soil Carbon Modeler to support greenhouse gas emission reduction in agriculture. The role involves analyzing soil carbon modeling datasets, developing algorithms for carbon simulation, and collaborating with data engineering teams. Candidates should have a PhD in agriculture or related fields, 5 years of ecosystem modeling experience, and proficiency in Python/R. This position is fully remote, allowing work from anywhere.
Salary:

Job-Title: Senior Soil Carbon Modeler

We are reducing agricultures global greenhouse gas emissions to improve the world we live in!

Agoro Carbon Alliance addresses a key global problem: the impact of agriculture's global greenhouse gas emissions on our climate and the implementation of sustainable carbon-capturing potential on ranches and farms. Our passion lies in solving a global crisis by working with our customers to bring about the sustainable transformation of ranching and farming practices that are economically viable for the grower and help the world avoid a crisis.

A bit about the role:

Our team brings together knowledge in agriculture and soil, as well as applied data science, to support Agoros monitoring, reporting, and verification (MRV) process of greenhouse gas emissions - with a primary focus on soil carbon sequestration.

As a senior soil carbon modeler - within the data team, you will contribute to reviewing the existing modeling approaches circulated in the scientific community and nature-based soil carbon removal industry to customize and develop a robust carbon modeling approach for Agoro Carbon Alliance.

What you will be doing
• Collect, compile, and analyze datasets relevant to soil carbon modeling for agriculture and rangeland applications; build model inputs, analyze simulation results, identify possible issues, and provide insight into simulated soil organic carbon dynamics.
• Use state-of-the-art computing frameworks/algorithms to help calibrate/validate process-based models and be able to tune your models efficiently.
• Develop and implement algorithms that will help improve or modify the current carbon simulation models to support measurement, reporting, and verification of soil carbon stock changes and trace gas emission reductions.
• Meet challenges, insist on high-quality deliverables, demonstrate effective problem-solving skills, and possess the ability to build productive external and internal relationships.
• Use specialized knowledge and current literature when identifying and implementing process improvement; bring academic research, technology and practical experience together to drive Agoros soil modeling strategy forward
• Rapidly prototype and iterate to build production-ready solutions that scale
• Carbon crediting resulting from the implementation of sustainable management practices in farms and ranches, evolves in a rapidly changing regulatory framework. Your agility and eagerness to continuously suggest and develop innovative ideas will, therefore, be an important feature of your profile. You will be working with our data engineering team to build your prototypes to production and running on scale.

What you will bring:
• PhD in agriculture, soil science, or forestry
• Minimum of 5 years experience working on ecosystem models for biogeochemical modeling in industry.
• Expertise in working with at least three soil carbon models (e.g., DayCent, DNDC, APEX, or SWAT-C ).
• Highly proficient and experienced in scripting languages such as Python and/or R, with the ability to write clean, sharable, and efficient code.
• Ability to work effectively as part of a team and communicate technical concepts to stakeholders with or without a technical background.
• Experience in working with cloud computing platforms (e.g., AWS, Google Cloud, and Azure) and managing and querying databases (e.g. postgresql and Esri file geodatabase).

What will set you apart:
• You have work experience in business, in particular, as a technical leader or a group manager.
• You are a team player.
• You have experience developing process-based ecosystem models.
• You have a solution-oriented mindset.
• You have experience in processing spatial data layers with software packages, such as ArcGIS, and modeling the data with statistical or AI approaches to make inference or predictions for the business.

Why work with us?
• We offer the opportunity to drive change by globally reducing carbon emissions while financially supporting growers.
• You would be working with a globally dispersed and diverse team. We adopt a virtual-first approach, where we encourage face-to-face collaboration, but are focused on recruiting the best talent.
• Support for personal development, learning, and continuous learning is a priority.

Additional Information

As a global organization, we actively strive to reflect the diversity in society. We therefore encourage all qualified applicants from all backgrounds to apply. We are committed to creating a work environment that fits gender equality and allows career progress to be combined with the needs of a family or other personal circumstances.

remote work