Risk Modeling Manager jobs in Sacramento, CA

Apply online at: https://calcareers.ca.gov/CalHrPublic/Jobs/JobPosting.aspx?JobControlId=423265

To qualify, applicant must meet minimum requirements as specified here: https://www.calhr.ca.gov/state-hr-professionals/Pages/0762.aspx

Job Description:

Under the direction of the Environmental Program Manager I (Supervisory) within the Fire and Resource Assessment Program (FRAP), this position is responsible for overseeing work conducted by science staff and serving as a subject matter expert on issues related to characterizing, modeling, analyzing and synthesizing wildfire related risks to public safety, human infrastructure, and natural resources provided by forest and rangeland ecosystems. Specific duties will include, but not limited to:

*Supervise staff and program activities that support FRAP’s role in wildfire risk modeling. *Research and integrate state of science and models that analyze and quantify strategic estimates of fire impacts on people, property, other social infrastructure, as well as diverse natural resource assets that are derived from natural landscapes and ecosystems. *Lead a risk modeling team of scientists and data professionals in the development of target asset specific models and integrative assessments across all impacts to create total risk estimates expected over near-term and longer planning horizons where climate change will likely impact trends in estimates. *Lead the team to incorporate mitigation strategies reflecting current department policy on wildfire and land management designed to reduce wildfire risk. *Evaluate and employ adaptive feedback in model design as empirical data on fire impacts becomes newly available to increase model predictive skill and provide input into policy direction needed to make tools widely available and used.

*Serve as Technical Project lead for Fire Hazard Severity Zone (FHSZ) Mapping, and other state sponsored efforts to create robust models of fire hazard for use in risk assessment, policy development, fire safety regulations, and outreach to stakeholders describing hazard modeling and map validation. *Lead junior and senior science staff in risk group to implement advances in modeling to account for changes in patterns and magnitude of fire frequency estimation, ignitions regimes, and climate influence on vegetation to incorporate in model/map updates.

*Work collaboratively with the Office of the State Fire Marshal Office -- Community Wildfire Preparedness and Mitigation (CWPM) and Utility Safety Group to provide consultation bring risk evaluation tools to agencies, land managers, and local stakeholders, including web-based predictive models that show alternative mitigation activities, their costs, and their benefits. *Support tool development, training, and version enhancement.

*Support administrative functions of the program, including and associated with budgets, contracts, grant solicitations, legislation analysis, interagency agreements, and personnel supervision for all staff in the risk modeling team.

*Serve as the department’s technical subject expert in modeling and data analysis to evaluate wildfire risk and how it is tailored to meet policy goals. *Expected audiences for science-based risk information and collaboration include CAL FIRE Executive, Governor/Cabinet audiences, the Board of Forestry and Fire Protection, University researchers, and the public. *Participate in interagency workgroups addressing wildfire risk related to specific impacts from wildfire. *Provide leadership on experimental design. *Participate in field level monitoring and evaluations. *Collaborate with university researchers and other researchers on wildfire related risk models in support of Forest and Community Resiliency efforts.

Desirable Qualifications:

* Knowledge and skills related to geospatial data provision and management. * Comprehensive knowledge of fire behavior and existing risk frameworks for understanding natural hazard impacts. * Familiarity and working knowledge of complex data structures, statistical and mechanistic approaches to developing agent-based probabilistic models, including numerical simulation and machine learning techniques, Bayesian statistics and inference, model validation and testing.

Job Type: Full-time

Pay: $10,331.00 - $12,843.00 per month

Benefits:

• Dental insurance
• Health insurance
• Paid time off
• Retirement plan
• Vision insurance

Experience level:

• 3 years

Schedule:

• 8 hour shift
• Monday to Friday

Ability to Relocate:

• Sacramento, CA 95814: Relocate before starting work (Required)

Work Location: Hybrid remote in Sacramento, CA 95814