Soil Carbon Modeler

Agoro•Chicago, IL

13d

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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

Benefits

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.

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