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Carbon Modelling Jobs (NOW HIRING)

Oxman

Computational Ecologist

New York, NY · On-site

$152K - $203K/yr

... of carbon, the filtration of water, and the production of the air we breathe. EDEN works to ... Leading of the modelling of core ecosystem dynamics and interactions as defined in the ...

ExxonMobil

Senior Northeast Power Trading Analyst

Spring, TX · On-site

$78K - $103K/yr

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of ... You will provide market expertise, fundamental analysis, statistical modelling and opportunity ...

ExxonMobil

Senior Northeast Power Trading Analyst

Spring, TX · On-site

$81K - $107K/yr

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of ... You will provide market expertise, fundamental analysis, statistical modelling and opportunity ...

ExxonMobil

Senior Northeast Power Trading Analyst

Spring, TX · On-site

$81K - $107K/yr

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of ... You will provide market expertise, fundamental analysis, statistical modelling and opportunity ...

Exxon Mobil

Senior Northeast Power Trading Analyst

Spring, TX · On-site

$74K - $98K/yr

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of ... You will provide market expertise, fundamental analysis, statistical modelling and opportunity ...

Mace

Senior Quantity Surveyor

San Francisco, CA · On-site

Presents complex estimating and risk modelling data to stakeholders, interpreting and providing ... Works collaboratively towards the common goal of net zero carbon transition, and share ...

Worley

Supply Chain Analyst

Houston, TX · On-site

Modelling business processes and identifying opportunities for process improvements * Identifying ... carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.

WorleyParsons

Supply Chain Analyst

Houston, TX · On-site

Modelling business processes and identifying opportunities for process improvements * Identifying ... carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.

Enthusiast Auto Holdings

Mechanical Design Engineer

Milton, VT · On-site

$86K - $117K/yr

Rhino 3D/ 3D surface modelling - Bonus if you have experience * 3D Scanning and/or 3D Printing Experience is a bonus. * Prototyping and testing. * Use and maintain our fleet of 5 X1 Carbon Bamboo 3D ...

Enthusiast Auto Holdings

Mechanical Design Engineer

Milton, VT · On-site

$86K - $117K/yr

Rhino 3D/ 3D surface modelling - Bonus if you have experience * 3D Scanning and/or 3D Printing Experience is a bonus. * Prototyping and testing. * Use and maintain our fleet of 5 X1 Carbon Bamboo 3D ...

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All JobsEnergy And Environment JobsCarbon Modelling Jobs

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:

What other helpful pages are available for Carbon Modelling?

Other pages related to Carbon Modelling:

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.

Computational Ecologist

New York, NY • On-site

Oxman
Specialized Design Services • 11 - 50 employees
Learn more about Oxmanexternal

$152K - $203K/yr

Full-time

Re-posted 22 days ago

Job description

OXMAN
OXMAN is a nature-based research and design company based in Manhattan. We incubate ventures and technologies that reimagine the relationship between humanity and the natural world. Working across disciplines-from architecture and ecology to materials science and computation, we develop nature-centric solutions to critical environmental challenges.
EDEN
Nature provides humanity with services that are critical for survival: the sequestration of carbon, the filtration of water, and the production of the air we breathe. EDEN works to strengthen and regenerate these natural processes by cultivating biodiverse, resilient ecosystems that sustain life for all species-human and non-human alike.
EDEN is a digital design environment for engineering and designing ecosystems, modeling the flows, relationships, and processes that sustain them. We build tools that quantify how landscapes can be engineered to achieve specific performance goals, cooling cities, filtering water, sequestering carbon, and protecting key species, and use them to guide the design of ecologically active sites.
One hectare of well-designed landscape can sequester up to four times the annual emissions of an average home, filter enough water to support thirteen neighborhoods, and reduce ambient temperatures by more than ten degrees. EDEN enables designers to plan intentionally for these outcomes through analysis, simulation, and optimization, turning ecological function into an actionable design parameter.
Our design team works directly with clients to apply these tools toward site-specific goals, from logistics campuses and residential communities to rewilding and climate-resilient developments. Together with our clients, we are designing biodiverse, productive environments that serve both humanity and nature.
Key Responsibilities
  • Conceptualization and Research: Research and identify key ecosystem behaviours and interactions to create a comprehensive conceptual framework for general ecosystem modelling
  • Ecosystem Behaviour Modelling: Leading of the modelling of core ecosystem dynamics and interactions as defined in the conceptualization phase such as plant growth and succession etc.
  • Ecosystem Metrics Development: Development of quantitative metrics to assess ecosystem health, stability, and service provision.
  • Implementation and Documentation: Models will be implemented in a computationally efficient framework with thorough documentation to ensure usability and reproducibility.
  • Help in the gathering and integration of relevant environmental, ecological, and spatial data to underpin model parameters and validate model outcomes.
  • Conduct data analysis to in order to derive key insights necessary to develop ecosystem models and validate model parameters.
  • Technical documentation: Prepare comprehensive documentation outlining model assumptions, data sources, code structure, and operation for using and maintaining the models.
  • Continually communicate with the OXMAN team to ensure review of research, implementation, and seamless integration of the model into their workflows.
  • Participate in regular progress meetings (weekly or biweekly) with the team to review milestones, discuss challenges, and plan next steps.
  • Provide status updates summarizing progress, challenges encountered, and any adjustments to the project plan.
Key Goals and Outcomes
  • Development, deployment, and validation of a general ecosystem model within two quarters of the start date
Required Experience
  • A Ph.D. or equivalent experience in Computer Science, Computational Ecology, Systems Biology, or a related field.
  • Strong programming skills in languages such as Python, C++, or similar, with experience in frameworks like PyTorch, or JAX.
  • Strong foundation in modeling techniques (e.g., differential equations, agent-based modeling, network models, Bayesian approaches) for simulating ecological processes or population dynamics.
  • Experience handling large and often messy datasets common in ecology (e.g., climate data, remote sensing imagery, biodiversity records). Knowledge of spatial databases, parallel computing, or cloud-based data storage is a plus
Technical Skills
  • Python (NumPy/SciPy/pandas), reproducible research workflows, and Git-based version control
  • High-performance model implementation (vectorization, profiling/optimization); familiarity with PyTorch or JAX
  • Ecological modeling methods: agent-based, ODE/PDE, network, and Bayesian/statistical modeling; uncertainty quantification
  • Geospatial analytics (GIS; GeoPandas/rasterio/GDAL) and spatial databases (e.g., PostGIS) for integrating environmental and biodiversity data
  • Remote sensing and gridded data handling (e.g., xarray; land cover/land use change; climate rasters); comfort with messy real-world datasets
  • Clear technical documentation (assumptions, data provenance, APIs) and maintainable code (testing, modular design)
Essential Qualities
  • Systems-level thinker who can translate ecological theory into tractable computational abstractions
  • Strong research judgment: literature synthesis, hypothesis framing, and disciplined model validation
  • Pragmatic engineer: prioritizes computational efficiency, robustness, and reproducibility over "toy" prototypes
  • Comfortable working with uncertainty, noisy data, and incomplete ground truth, typical of ecological problems
  • Clear communicator in interdisciplinary teams (design, biology, engineering); proactive stakeholder management
  • High ownership: independently drives milestones while aligning work to EDEN workflow integration needs

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