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Senior Climate Scientist Senior Climate Scientist Kettle Hybrid · Remote NY, US abo

Remote / Online - Candidates ideally in
New York, USA
Listing for: Seeds Renewables
Full Time, Remote/Work from Home position
Listed on 2026-09-09
Job specializations:
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Senior Climate Scientist Senior Climate Scientist Kettle Hybrid · Remote  NY, US abo[...]

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, Num Py, 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 temperatures

Wildfires, hurricanes and extreme temperatures are contributing to $2.98 trillion in losses over the past decade.

Underwriting Platform We use deep learning to deliver better protections for people and more stable returns for the insurance industry.

Transfer Risk Kettle analyzes, holds and ...

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Position Requirements
10+ Years work experience
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