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Carbon Modelling Jobs (NOW HIRING)

The carbon scientist manages agronomic research and scientific analysis; supports greenhouse gas (GHG) accounting, modelling, regenerative ag practice research and implementation, and Sales and ...

The carbon scientistmanages agronomic research and scientific analysis; supports greenhouse gas (GHG) accounting, modelling, regenerative ag practiceresearch and implementation,andSales and Grower ...

The carbon scientist manages agronomic research and scientific analysis; supports greenhouse gas (GHG) accounting, modelling, regenerative ag practice research and implementation, and Sales and ...

The magic we've created lies in Carbon Health's custom EHR and the collaboration among clinical ... Drive provider engagement and retention by modelling ownership, transparency, and a culture where ...

The magic we've created lies in Carbon Health's custom EHR and the collaboration among clinical ... Drive provider engagement and retention by modelling ownership, transparency, and a culture where ...

The magic we've created lies in Carbon Health's custom EHR and the collaboration among clinical ... Drive provider engagement and retention by modelling ownership, transparency, and a culture where ...

The magic we've created lies in Carbon Health's custom EHR and the collaboration among clinical ... Drive provider engagement and retention by modelling ownership, transparency, and a culture where ...

Business Development Associate

Austin, TX · On-site

$44K - $60K/yr

... carbon future. With well-established roots in the demand side response space, we have expanded our ... Commercial Revenue Modelling (25%) * Develop customer-specific revenue models using GridBeyond ...

Business Development Associate

Austin, TX

$44K - $60K/yr

... carbon future. With well-established roots in the demand side response space, we have expanded our ... Commercial Revenue Modelling (25%) * Develop customer-specific revenue models using GridBeyond ...

Business Development Associate

Austin, TX · On-site

$44K - $60K/yr

... carbon future. With well-established roots in the demand side response space, we have expanded our ... Commercial Revenue Modelling (25%) * Develop customer-specific revenue models using GridBeyond ...

Business Development Associate

Austin, TX · On-site

$44K - $60K/yr

... carbon future. With well-established roots in the demand side response space, we have expanded our ... Commercial Revenue Modelling (25%) * Develop customer-specific revenue models using GridBeyond ...

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Showing results 1-20

Carbon Modelling information

See salary details

$41.5K

$112.9K

$164.5K

How much do carbon modelling jobs pay per year?

As of Sep 13, 2026, the average yearly pay for carbon modelling in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is carbon modelling?

Carbon modelling is the process of using mathematical models and simulations to estimate, track, and predict carbon emissions and sequestration in various systems, such as businesses, buildings, or ecosystems. Professionals in this field analyze data to understand how activities, products, or policies impact greenhouse gas emissions over time. This helps organizations or governments make informed decisions to reduce their carbon footprint and meet environmental goals. Carbon modelling is essential for climate change mitigation strategies and sustainability planning.

What are the key skills and qualifications needed to thrive as a carbon modelling specialist, and why are they important?

To thrive as a Carbon Modelling Specialist, you need a strong background in environmental science, data analysis, and climate modeling, often supported by a degree in environmental science, engineering, or a related field. Proficiency with modeling software such as MATLAB, Python, R, GIS tools, and familiarity with carbon accounting frameworks and certifications like GHG Protocol are typically required. Strong analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These competencies ensure accurate carbon assessments, inform sustainability strategies, and support organizations in meeting regulatory and climate goals.

What are some common challenges faced by professionals working in carbon modelling, and how can they overcome them?

Professionals in carbon modelling often encounter challenges such as limited access to high-quality data, integrating diverse data sources, and keeping up with evolving modelling techniques and regulations. Collaborating closely with interdisciplinary teams—including data scientists, ecologists, and policy experts—can help overcome these hurdles. Staying current with the latest research, using open-source modelling tools, and participating in relevant professional networks are also effective strategies to address these challenges and ensure accurate, actionable results.

What is the difference between Carbon Modelling vs Carbon Analyst?

AspectCarbon ModellingCarbon Analyst
Required CredentialsDegree in environmental science, data analysis, or related fields; familiarity with modelling softwareDegree in environmental science, sustainability, or related fields; strong analytical skills
Work EnvironmentTypically involves data analysis, software tools, and modelling platformsOften includes data collection, reporting, and stakeholder communication
Employer & Industry UsageUsed by environmental consultancies, government agencies, and corporations for climate strategyEmployed in similar settings, focusing on data interpretation and reporting

While both roles focus on environmental data, Carbon Modelling primarily involves creating predictive models to assess carbon emissions and reduction strategies. In contrast, a Carbon Analyst interprets data, prepares reports, and supports decision-making. Both roles require similar educational backgrounds and often work in overlapping environments, but their core functions differ in scope and focus.

What cities are hiring for Carbon Modelling jobs?

Cities with the most Carbon Modelling job openings:

Infographic showing various Carbon Modelling job openings in the United States as of September 2026, with employment types broken down into 6% As Needed, 81% Full Time, and 13% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

Sr Carbon Scientist

Denver, CO • On-site

Full-time

Posted 4 days ago


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, GST and 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.

Background 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% travelrequired for field visits, grower and rancher engagement, conferences, research activities, and team meetings