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.

Agoro

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Soil Carbon Modeler