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Senior Climate Modeling Jobs (NOW HIRING)

$120K - $160K/yr

Senior Climate Scientist Kettle Hybrid · Remote · New York, NY, US about 1 year ago The Role We ... Develop, refine, and validate climate and wildfire models to support underwriting and risk ...

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Senior Climate Modeling information

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.

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.

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.

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 other helpful pages are available for Senior Climate Modeling?

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Infographic showing various Senior Climate Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Senior Climate Scientist Senior Climate Scientist Kettle Hybrid · Remote · New York, NY, US abo[...]

Manhattan, NY • On-site

$120K - $160K/yr

Other

Posted 4 days ago


Job description

Senior Climate Scientist

Kettle Hybrid · Remote · New York, NY, US about 1 year ago

Job Description The Role

We are looking for a Senior Climate Scientist with strong industry experience and a robust coding background to join our team. This role requires a blend of scientific expertise, technical proficiency, and communication skills, enabling you to not only contribute to our wildfire and climate models but also effectively pitch and discuss our models and systems with stakeholders.

Primary Responsibilities
  • Develop, refine, and validate climate and wildfire models to support underwriting and risk management.
  • Communicate complex scientific models and data-driven insights to both technical and non-technical audiences.
  • Collaborate closely with cross-functional teams, including engineering and underwriting.
  • Stay up-to-date with the latest climate science research, methodologies, and industry trends.
  • Design and implement Python-based analytical tools and models.
  • Analyze historical and predictive wildfire and climate data to improve model accuracy and effectiveness.
  • Assist in pitching our proprietary models and systems to potential clients, partners, and industry forums.
Requirements Essential Experience of a Successful Candidate
  • PhD or Master's degree in Climate Science, Meteorology, Environmental Science, or a related field.
  • Proven industry experience in climate modeling, wildfire risk assessment, or similar domains.
  • Strong Python programming skills, including experience with data analysis libraries such as Pandas, NumPy, and geospatial tools.
  • Hands‑on experience with climate and wildfire modeling techniques and tools.
  • Excellent communication skills, capable of simplifying complex models for diverse audiences.
  • Ability to work independently and within a collaborative team environment.
Useful Experience
  • Experience presenting at conferences or pitching scientific models to industry stakeholders.
  • Familiarity with machine learning techniques for climate data analysis.
  • Knowledge of geospatial data analysis and visualization frameworks.
  • Previous experience in the (re)insurance industry or working on natural catastrophe modeling.
Benefits Why Join Kettle?
  • Be part of a mission-driven company tackling real-world challenges.
  • Work with a passionate and innovative team in a collaborative environment.
  • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry.
  • Competitive salary ranging from $120,000 to $160,000 depending on experience and qualifications.
  • Benefits package includes remote work flexibility, with tools to support productive work from home.

Insurers Can’t Predict The Next Climate Crises, But We Are Getting Close. Extreme temperaturesWildfires, hurricanes and extreme temperatures are contributing to $2.98 trillion in losses over the past decade.Underwriting PlatformWe use deep learning to deliver better protections for people and more stable returns for the insurance industry.Transfer RiskKettle analyzes, holds and ...

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