Principal Data Scientist, Wildfire Management

As a Principal Data Scientist for Wildfire Management, you will analyze, monitor, and evaluate wildfire risks and impacts using remote sensing technologies and data. You will be crucial in disaster response, mitigation, and recovery efforts, providing insights from satellite imagery and other remote sensing data. You will collaborate with data science teams to build AI/ML and statistical models for comprehensive risk and impact assessments. Responsibilities include leading the development of wildfire catastrophe models, building hazard models through simulations, designing risk and impact models, and analyzing remote sensing data. This role requires collaboration with cross-functional teams to translate outputs into actionable business insights and the design and execution of field surveys for model validation.

Must Have

• Expertise in building wildfire models, including ignition and spread models
• Experience in building hazard models using wildfire simulations
• Background in creating risk and impact models for wildfire events
• Proficiency in applying AI/ML techniques and statistical methods
• Master’s or PhD in related disciplines

Good to Have

• Experience applying wildfire risk models in the utility sector

Perks & Benefits

• Comprehensive Medical, Dental, and Vision Coverage
• Health Reimbursement Account (HRA)
• 401(k) Plan
• Parental Leave
• Generous Vacation Policy
• Winter Break

• Lead the development of wildfire catastrophe models, including ignition and spread dynamics
• Build hazard models through simulations across geographically dispersed topologies
• Design risk and impact models to quantify potential consequences of wildfire events
• Develop and apply methodologies to analyze remote sensing data and extract key variables for model development
• Collaborate with cross-functional teams to translate wildfire risk outputs into actionable business insights
• Design and execute field surveys and ground-truthing strategies to validate model predictions and improve accuracy

• Deep expertise in building a range of wildfire models, including ignition and spread models
• Proven experience in building hazard models using wildfire simulations to assess potential severity and intensity
• Extensive background in creating risk and impact models to estimate financial losses from wildfire events
• Proficiency in applying AI/ML techniques and statistical methods to build catastrophic risk models
• Master’s or PhD in Remote Sensing, Environmental Science, Computer Science, or a related discipline
• Nice to have: Experience applying wildfire risk models in the utility sector

• Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children 
• Health Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles 
• 401(k) Plan: Begin contributing after three months of employment to prepare for your future. Currently, no company match is offered 
• Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers 
• Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you!
• Winter Break: From December 25th through January 2nd, we give everyone time off to recharge and enjoy time with family and friends!