Senior Climate Scientist

Summary

Join our team as a Senior Climate Scientist and leverage your industry experience and coding skills to contribute to our wildfire and climate models. Develop, refine, and validate these models to support underwriting and risk management. Effectively communicate complex scientific models and data-driven insights to both technical and non-technical audiences. Collaborate with cross-functional teams, including engineering and underwriting. Stay current with the latest climate science research and industry trends. Design and implement Python-based analytical tools and models, and analyze historical and predictive data to improve model accuracy. Assist in pitching our proprietary models and systems to clients and partners.

Requirements

• 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

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

Preferred Qualifications

• 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

• 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