Soil Carbon Modeler

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.