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Senior Climate Modeling Jobs (NOW HIRING)

Senior Climate Analytics Specialist Preferred Locations: Salt Lake City, UT | New York City, NY ... Translate complex climate risk questions into tractable analytical and modeling frameworks ...

Senior Climate Analytics Specialist Preferred Locations: Salt Lake City, UT | New York City, NY ... Translate complex climate risk questions into tractable analytical and modeling frameworks ...

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Senior Climate Modeling information

How do Senior Climate Modelers typically collaborate with interdisciplinary teams on large-scale research projects?

Senior Climate Modelers often work closely with scientists from fields such as oceanography, atmospheric science, and data analytics to develop comprehensive climate simulations. They play a key role in integrating diverse datasets, providing technical expertise, and translating complex model outputs for non-specialist stakeholders. Effective collaboration requires strong communication skills and a willingness to bridge knowledge gaps between disciplines, which can be both challenging and highly rewarding as it leads to more robust and impactful research findings.

What is the difference between Senior Climate Modeling vs Climate Data Analyst?

AspectSenior Climate ModelingClimate Data Analyst
Required CredentialsAdvanced degrees in climate science, meteorology, or related fields; experience with modeling softwareBachelor's or master's in environmental science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, government agencies, or environmental organizations; focus on developing modelsData-focused roles in similar settings; analyze climate data for trends and reports
Employer & Industry UsageResearch institutions, government agencies, NGOsEnvironmental consulting firms, government agencies, research institutions

While both roles involve climate data, Senior Climate Modeling focuses on developing complex climate models and simulations, requiring advanced technical skills. Climate Data Analysts interpret existing data sets to identify trends and support decision-making. The roles differ mainly in scope and technical depth but share a common industry environment and credentials.

What are the key skills and qualifications needed to thrive as a Senior Climate Modeler, and why are they important?

To thrive as a Senior Climate Modeler, you need advanced expertise in climate science, numerical modeling, and data analysis, typically backed by a PhD in atmospheric science, meteorology, or a related field. Proficiency with programming languages (such as Python, Fortran, or R), climate modeling software (like WRF, CESM, or GCMs), and high-performance computing is crucial. Strong problem-solving abilities, collaboration, and effective communication of complex results make professionals stand out in this field. These skills are vital for developing accurate climate projections, informing policy, and advancing scientific understanding of climate change.

What does a Senior Climate Modeler do?

A Senior Climate Modeler is responsible for developing, running, and analyzing advanced climate models to understand and predict changes in Earth's climate. They use complex computer simulations to assess the impact of various factors like greenhouse gas emissions, land use, and ocean currents on climate systems. These professionals often lead research projects, collaborate with scientists across disciplines, and provide critical insights for policymakers and organizations working to address climate change. Their work helps improve climate predictions and informs strategies to mitigate and adapt to climate risks.
More about Senior Climate Modeling jobs
What cities are hiring for Senior Climate Modeling jobs? Cities with the most Senior Climate Modeling job openings:
What are the most commonly searched types of Climate Modeling jobs? The most popular types of Climate Modeling jobs are:
What states have the most Senior Climate Modeling jobs? States with the most job openings for Senior Climate Modeling jobs include:
What job categories do people searching Senior Climate Modeling jobs look for? The top searched job categories for Senior Climate Modeling jobs are:
Infographic showing various Senior Climate Modeling job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Climate Analytics Specialist

ICF

New York, NY

$95K - $117K/yr

Full-time

Posted 17 days ago


Job description

Title: Senior Climate Analytics Specialist

Preferred Locations: Salt Lake City, UT | New York City, NY | Crystal City, VA

Are you ready to make a difference?

ICF is seeking a Senior Climate Analytics Specialist with strong scientific programming and cloud-based, big data experience to support our broad portfolio of work on climate risk and resilience. Our projects span across commercial clients and all levels of government, enhancing the resilience of energy, transportation, and other critical infrastructure systems, and the vital societal and natural elements that make our communities whole. Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.

The consultant chosen for this position will apply advanced analytics to the analysis and interpretation of weather and climate data, contribute to the development of climate risk tools and products, and support multi-disciplinary teams on multiple short- and long-term projects. This role is ideal for candidates interested in applying advanced analytics and machine learning to novel, high-impact problems where traditional modeling approaches are insufficient and new methods must be developed.

The preferred locations for this position are Salt Lake City, New York City, or Crystal City, VA.

Why you will love working here:

  • Quality of life: Flexible workplace arrangements, work-life balance

  • Investment of the community: Donation matching, volunteer opportunities

  • Investment in you: Tuition reimbursement, access to professional development resources, 401kmatching, Employee Stock Purchase Plan

  • And many, many more (Ask your recruiter for more details!)

What you'll be doing...

  • Serve as a technical expert on multi-disciplinary teams focused on applied climate risk and resilience projects
  • Use scientific programming, cloud-based distributed computing, and large-scale geospatial data processing to advance climate analytics and products
  • Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches
  • Design, train, and rigorously validate machine learning and statistical models in data-limited and non-stationary climate contexts
  • Interface with clients on climate risk and resilience topics, and prepare high-quality communication materials such as presentations and reports
  • Complete tasks in fast-paced and self-motivated environment in a timely and efficient manner

What you'll need to have...

  • Bachelor's Degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • 5+ years of relevant experience applying advanced analytics to climate, geospatial, or environmental data
  • 2+ years of experience with Python for processing and analyzing large, multidimensional datasets (e.g., NetCDF, Zarr), including use of Pangeo ecosystem tools such as Xarray and Dask
  • Demonstrated experience designing and implementing scalable, cloud-based workflows for large geospatial and climate datasets, including parallel processing, memory-aware computation, and reproducible pipelines (e.g., AWS, SageMaker)
  • Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or related topics, using relevant Python packages (e.g., scikit-learn, PyTorch, etc.)

Our Preferred Skills/Experience...

  • Advanced degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • Ability to perform self-directed analytical work related to climate science topics and physical climate risk pertaining to energy systems, transportation networks, or other sectors
  • Experience working with extreme events, tail risks, or rare-event modeling in environmental or geospatial contexts
  • Outstanding oral and written communication skills; ability to communicate complex climate information to non-scientists to inform decision-making
  • Experience working with and leading multi-disciplinary teams
  • Organized, detail oriented, and the ability to prioritize and multi-task

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$81,499.00 - $138,549.00Nationwide Remote Office (US99)