Sr Carbon Scientist

Agoro; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

Agoro is seeking a carbon scientist to manage agronomic research, support GHG accounting, and advance regenerative agriculture practices. The role bridges applied agronomy with data-driven science, delivering program guidelines and ensuring credit integrity.

You will lead agronomic guidance, collaborate with GST and modeling teams, and translate field data into reliable model inputs while engaging with farmers and industry partners. Expect 20–30% travel in the United States.

Qualifications

• Advanced degree required with 5+ years in agronomy or carbon programs.
• Experience with regenerative ag practices and soil health.
• Knowledge of Verra VCS and VVB processes is desirable.

Responsibilities

• Provide agronomic support across teams and translate research into program guidelines.
• Lead practice guideline improvements using data, field performance, and modeling.
• Guide GST on data quality and field reporting for carbon outcomes.
• Collaborate with modeling to input field data and refine model outputs.
• Address VVB/Verra findings with technical leadership and justification.
• Present advances in regenerative agriculture to stakeholders and partners.
• Travel ~20–30% for field visits and conferences.

Skills

Regenerative agriculture

GHG accounting

Data analysis

Modeling

Scientific communication

Cross-functional leadership

Field protocols

Agronomic guidance

Education

MS or PhD in Soil Science / Rangeland Management / Environmental Science

Job description

Job Summary:

The carbon scientist manages agronomic research and scientific analysis; supports greenhouse gas (GHG) accounting, modelling, regenerative ag practice research and implementation, and Sales and Grower Success Team (GST) technical support. This role bridges applied agronomy, data-driven scientific and carbon program development; supporting carbon market integrity, agronomic and carbon performance of regenerative practices, and program outcomes.

Key Responsibilities:

Agronomic Support

• Provide cross-functional agronomic support and guidance across all teams, ensuring alignment between Science, Data, Modeling, Carbon, GSTand Commercial teams. Translate basic and applied research into clear program guidelines, continuous improvements and scalable practice guidance to improve our carbon output
• Provide technical expertise in range and pasture management, including grazing systems, forage management, soil health, and regenerative grazing practices. Apply this knowledge to support program development, practice guidelines, field implementation, modeling, and carbon outcomes. Candidates with demonstrated experience in range and pasture management are preferred; strong agronomic candidates with the potential and interest to develop into a subject-matter expert in this area will also be considered.
• Proactively evaluate emerging agronomic practices, technologies, and systems to develop new practice offerings that increase carbon sequestration rates, emissions reductions, and program scalability
• Lead ongoing evaluation and improvement of agronomic practice guidelines using scientific evidence, field performance data, and modeling insights to maximize carbon yield and credit integrity
• Continuously working with GST to monitor practice-level data quality, completeness, and consistency, applying agronomic science to identify gaps, risks, or biases and drive improvements in data standards and field-level reporting
• Provide technical leadership and mentorship to GST, ensuring training, field visits, and educational resources are scientifically rigorous, practice-aligned, and support carbon credit outcomes
• Work closely with the modeling team to translate field-level agronomic data into reliable model inputs, proactively addressing data challenges and improving alignment between practice implementation and modeled outcomes
• Partner with Carbon team and provide agronomic leadership to analyze and resolve Validation and Verification Body (VVB) and Verra findings, including issues related to practice eligibility, data quality, modeling inputs, and scientific justification

Research, Data & Technical Leadership

• Act as a knowledge hub by regularly updating the company on advances in regenerative agriculture science and technology, fostering continuous learning and improved agronomic decision-making
• Integrate agronomic science with data analytics, visualization, and reporting to support business success. Support effective communication of complex agronomic and sustainability concepts to farmers, ranchers, and industry partners
• Attend agronomy and regenerative agriculture conferences to engage with industry experts, identify innovations, and communicate the organization’s scientific achievements
• Lead preparation of scientific reviews, reports, and white papers based on project outcomes to inform strategy, program development, and external communications.

Back ground and Training Requirements

• Education: M.S. or Ph.D. in Soil Science, Rangeland Management, Environmental Science, or a related field; equivalent experience may be considered.
• Experience: 5+ years of relevant experience in agronomy, regenerative agriculture, agricultural research, soil health, carbon programs, or a related field, with demonstrated ability to lead technical projects and work cross-functionally.
• Range & Pasture Management: Strong experience in range and pasture management, including grazing systems, forage management, soil health, and regenerative grazing. Candidates with strong agronomic expertise and demonstrated potential to develop into a subject-matter expert in range and pasture systems will also be considered.
• Carbon & GHG: Working knowledge of agricultural carbon markets, GHG accounting, carbon sequestration, and carbon-credit methodologies. Experience with Verra VCS and VVB processes is highly desirable.
• Scientific & Analytical Skills: Strong background in applied agronomic research, experimental design, data analysis, scientific interpretation, and translating research into practical field and program recommendations.
• Modeling & Data: Experience working with agricultural or carbon datasets and models, with the ability to translate field-level information into reliable model inputs and insights.
• Communication & Leadership: Strong written and verbal communication skills, with the ability to translate complex science into practical guidance for growers, ranchers, field teams, and cross-functional stakeholders.
• Industry Engagement: Demonstrated ability to stay current with regenerative agriculture and carbon science and represent the organization through technical reports, conferences, presentations, and external engagement.
• Travel: Approximately20–30% travel for field visits, grower and rancher engagement, conferences, research activities, and team meetings