Carbon Modeler / Data Analyst

Key Responsibilities

As a Carbon Modeler / Data Analyst, you will contribute to the success of our climate mitigation projects in agriculture by focusing on the following areas:

• Use process-based models (e.g., DayCent, DNDC, RothC) to analyze greenhouse gas emissions and soil carbon dynamics.

• Prepare and process data using tools like Python or R, streamlining workflows for accurate results.
• Support the development of systems for Monitoring, Reporting, and Verification (MRV) of carbon projects, ensuring compliance with carbon protocols.

• Collaborate with multidisciplinary teams to integrate scientific insights into project strategies.

• Communicate findings effectively through reports, presentations, and discussions with both technical and non-technical stakeholders.

Qualifications

Required Qualifications

• A degree (Master’s or Bachelor’s with relevant experience) in Soil Science, Agricultural Engineering, Environmental Science, Ecology, or a related field.

• Some experience with agricultural or ecosystem modeling (e.g., DayCent, DNDC, RothC, or similar tools).
• Proficiency in data analysis using Python, R, or other relevant programming languages.
• Ability to work with large datasets, ensuring accurate processing and analysis.

• Strong analytical skills, attention to detail, and a proactive attitude toward solving complex problems

Additional Information

• Familiarity with DayCent, DNDC, or similar process-based models.

• Understanding of carbon market protocols (e.g., Verified Carbon Standard, Climate Action Reserve, Gold Standard).
• Experience with model calibration, validation, or uncertainty analysis.

• Knowledge of version control systems like Git.

• Prior experience preparing technical reports or scientific publications