Lead advanced analytics for wildfire risk mitigation, building predictive models and data pipelines to support proactive fire prevention and stakeholder collaboration.
About the role
Key Responsibilities
Design, develop, and deploy machine learning models to predict wildfire risk and equipment failure.
Build and maintain scalable data pipelines using Python, SQL, and AWS services.
Collaborate with cross‑functional teams to translate business objectives into analytical solutions.
Present findings and actionable insights to senior stakeholders and external partners.
Ensure data quality, governance, and compliance with regulatory standards.
Requirements
Advanced degree in Data Science, Statistics, Computer Science, or related field.
5+ years of experience in predictive modeling and data engineering.
Proficiency in Python, SQL, and cloud platforms (AWS preferred).
Strong communication skills and ability to influence decision‑making.
Experience in environmental or risk analytics is a plus.