Carbon and GHG modeler

You will lead model calibration validation and uncertainty quantification for Varahas VM0042 and equivalent projects; defend the modeling approach to VVBs and third-party evaluators; and build production modeling pipelines that scale across geographies. You will work closely with the Modeling Lead the Carbon Project Lead and the broader Science team.

What you will own

• VMD0053-compliant calibration validation and uncertainty quantification for VM0042 projects including structural validation and project-specific back-modeling.

• Authorship of Model Validation Reports (MVRs) and direct engagement with VVBs and third-party evaluators on model-specific Corrective Action Requests Clarification Requests and reviewer queries.

• Production modeling pipelines in Python - scalable across geographies version-controlled and reproducible - not one-off scripts.

• Scientific defense of model selection parameterization and uncertainty treatment in PDDs MRs and rebuttals to third-party evaluations.

• Contributing to the technical bar of the modeling function as the team grows.

What were looking for

• Demonstrated experience authoring or co-authoring a complete Model Validation Report from calibration through submission under Verra Gold Standard or comparable registry.

• Hands-on calibration and parameterization with DayCent DNDC DSSAT or comparable process-based biogeochemical models.

• Working knowledge of Verra VM0042 and VMD0053 including the distinction between structural validation and project-specific back-modeling.

• Production-grade Python Git and geospatial data handling not notebook-only.

• M.S. or Ph.D. in soil science agronomy biogeochemistry environmental science or a quantitative equivalent.

Preferred

• Prior VVB interaction during validation or verification cycles.

• Bayesian calibration (PyMC PEST or similar) applied to soil carbon or GHG models.

• Experience with Indian Southeast Asian or Sub-Saharan African smallholder cropping systems.

• ML surrogates for process-based models; remote sensing (Sentinel-2 MODIS soil property rasters).

• Experience integrating LLM-assisted workflows into model documentation calibration data extraction or MVR development.

We hire for strategic alignment and cultural fit. If you bring exceptional capability with slightly more or less experience than the band above wed still like to hear from you.

Required Skills:

Carbon modelling Scientist Production modeling pipelines in Python Parameterization Verra Gold Standard DayCent DSSAT DNDC Model validation Soil science Agronomy Biogeochemistry Environmental science Python Model calibration VM0042 VVBs VMD0053 Model Validation Reports (MVRs) Biogeochemical models M.S. Ph.D. in soil science GHG models PyMC PEST Sentinel-2 MODIS Soil property rasters MVR development