CARBON MODELER / DATA ANALYST

Varaha; Hinoba-an; On-site; PHP 300,000 - 540,000; Full time

Job summary

Varaha is seeking aCarbon Modeler / Data Analyst to strengthen our climate mitigation projects in agriculture. You will apply process-based models to analyze soil carbon dynamics and greenhouse gas emissions, and process data with Python or R to ensure accurate results.

You will collaborate with multidisciplinary teams to translate scientific insights into project strategies, and communicate findings through reports and stakeholder discussions.

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

Responsibilities

• 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.

Skills

Data analysis

Analytical thinking

Proactive problem solving

Process-based modeling

Education

Bachelor's or Master's in Soil Science / Agricultural Engineering / Environmental Science / Ecology

Tools

Python

R

Git

Job description

Varaha is a leading climate tech venture focused on nature-based solutions such as regenerative agriculture, ARR, and biochar projects that support smallholder land stewards at scale. In our second year of operation we are removing and avoiding more than 1 Million tons of CO2 and distributing the majority of the revenues to more than 100,000 smallholder land stewards in South Asia and Sub-Saharan Africa. Our in-house best in class MRV technology includes a bio-geo-chemical model for soil carbon, remote sensing and machine learning and uses soil samples for calibration. Backed by leading global investors, our founding and management team comes with a stellar track record of successfully scaling projects and products to millions of smallholder land stewards at leading agri- and tech business.

Job Description

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

Preferred Skills

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