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 soil science, agronomy, biogeochemical modeling,
and applied data science to develop and operate Agoro Carbon’s carbon-ready
modeling pipeline for project-level MRV, uncertainty analysis, and credit
quantification across large-scale agricultural and rangeland systems.
As a soil carbon modeler, you will contribute to reviewing the existing
modeling approaches circulated in the scientific community and nature-based
soil carbon removal industry to design, customize, and continuously evolve
Agoro Carbon’s production-grade soil carbon modeling framework used for
project certification, uncertainty quantification, and regulatory reporting.
You will own and influence:
- The scientific integrity and evolution of Agoro Carbon’s core soil carbon
modeling framework
- Calibration, validation, and uncertainty methodologies used for credit
issuance
- Integration of new regenerative practices into production MRV pipelines
- Scientific defensibility for auditors, registries, and regulatory
stakeholders
What you will be doing
- Build, calibrate, validate, and uncertainty-quantify large-scale soil
carbon simulations for agricultural and rangeland systems
- Design and implement new algorithms and structural model
enhancements to improve the representation of regenerative practices
- Contribute to production-ready scientific pipelines in partnership with
Grower Success Team, Data Team, and Product/Tech teams
- Perform ensemble calibration, Monte Carlo uncertainty analysis, and
regulatory-grade reporting
- Evaluate model behavior against empirical soil datasets and peer-
reviewed literature
What will you 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, shareable, and efficient code.
- Ability to work effectively as part of a team and communicate technical
concepts to stakeholders with or without a technical background.
What will set you apart:
- Deep expertise in process-based ecosystem models and their
parameterization
- Experience publishing or defending models in peer-reviewed or
regulatory settings
- Strong understanding of MRV, carbon crediting, and uncertainty
frameworks
- Ability to translate scientific rigor into production systems
Comfort owning high-impact modeling decisions
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.
- Continuous learning, research engagement, and professional
development are actively supported.
