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Wildfire Scientist Jobs (NOW HIRING)

Turn wildfire hazard science, mitigation standards, and verified homeowner actions into parcel-level readiness scores people and carriers can trust. This is a senior data role focused on making ...

New

Policy Associate, Wildfire

Washington, DC · On-site

$17 - $21.50/hr

About the Alliance for Wildfire Resilience The Alliance for Wildfire Resilience (AWR) is working to ... Synthesize complex technical, scientific, and programmatic information into clear, accessible, and ...

New

Policy Associate, Wildfire

Washington, DC · On-site +1

$17 - $21.50/hr

About the Alliance for Wildfire Resilience The Alliance for Wildfire Resilience (AWR) is working to ... Synthesize complex technical, scientific, and programmatic information into clear, accessible, and ...

New

Policy Associate, Wildfire

Chicago, IL

$15.50 - $19.50/hr

About the Alliance for Wildfire Resilience The Alliance for Wildfire Resilience (AWR) is working to ... Synthesize complex technical, scientific, and programmatic information into clear, accessible, and ...

New

... science, weather and climate trends, fuel types, asset characteristics, and consequence analysis, to inform wildfire mitigation initiatives. · Lead the wildfire situational awareness program ...

Policy Associate, Wildfire

Washington, DC · Remote

$15.25 - $19.50/hr

About the Alliance for Wildfire Resilience The Alliance for Wildfire Resilience (AWR) is working to ... Synthesize complex technical, scientific, and programmatic information into clear, accessible, and ...

New

Policy Associate, Wildfire

Chicago, IL · Remote

$15.25 - $19.50/hr

About the Alliance for Wildfire Resilience The Alliance for Wildfire Resilience (AWR) is working to ... Synthesize complex technical, scientific, and programmatic information into clear, accessible, and ...

New

Associate's degree in emergency or disaster management, fire science, homeland security or related ... Dispatch Center, Emergency Management, Wildfire, and Energy Sector related professional ...

Showing results 21-40

Wildfire Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do wildfire scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for wildfire scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Wildfire Scientist jobs?

For Wildfire Scientist jobs, the most frequently searched job titles are:

Infographic showing various Wildfire Scientist job openings in the United States as of September 2026, with employment types broken down into 88% Full Time, 6% Temporary, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Data Wildfire Data Scientist Remote · Remote -- U.S. View role

On-site

Other

Posted 3 days ago

New


Job description

Turn wildfire hazard science, mitigation standards, and verified homeowner actions into parcel-level readiness scores people and carriers can trust. This is a senior data role focused on making complex risk signals usable in real decisions.

Remote · Remote — U.S. Posted August 6, 2026

Competitive compensation with meaningful equity; details discussed during the process.

The opportunity

Cindera helps homeowners, insurers, and vendors understand wildfire risk and what can be done about it. This role sits at the center of that work: translating hazard science and mitigation standards into parcel-level readiness scores that are explainable, testable, and useful in practice.

You’ll work across data, product, and domain experts to define how risk should be measured, how verified actions should change a score, and how we show confidence and limitations. The work is technical, but it also has to hold up in the real world when a homeowner, underwriter, or mitigation provider looks at it and asks, “Can we trust this?”

We’re looking for someone who is comfortable owning ambiguous modeling problems end to end, from data design and feature engineering through evaluation, calibration, and ongoing iteration as new evidence comes in.

What you'd do
  • Build and refine parcel-level readiness scores using hazard data, mitigation standards, and verified homeowner actions.
  • Design feature sets and modeling approaches that capture wildfire exposure, vulnerability, and mitigation impact.
  • Work with product and engineering to turn research outputs into reliable production systems and data pipelines.
  • Evaluate model performance, calibration, drift, and uncertainty so scores remain useful and defensible over time.
  • Partner with domain experts to encode wildfire science and mitigation logic in a way that is transparent to customers.
What we're looking for
  • Strong experience with applied data science, statistical modeling, or machine learning in a production environment.
  • Comfort working with messy geospatial, property, or insurance-related data and turning it into structured signals.
  • Ability to explain modeling choices, tradeoffs, and limitations to non-technical partners.
  • Track record of owning ambiguous problems and shipping data products that people actually use.
  • Practical judgment about when a simpler approach is better than a more complex one.
Nice to have
  • Experience with wildfire, climate risk, property risk, or insurance analytics.
  • Hands-on work with geospatial data, remote sensing, or parcel-level property datasets.
  • Familiarity with model calibration, interpretability, and risk scoring for decision support.
  • Experience designing systems that incorporate verified user actions or inspection data.
Why Cindera

Cindera is building tools that make wildfire readiness more measurable and more actionable. The work is technical, but it is grounded in a real problem with real consequences for homeowners and the companies that serve them.

You’ll join a team that values clear thinking, domain rigor, and shipping useful systems over polished slides. If you want your modeling work to affect how risk is understood and reduced in the real world, this is a strong place to do it.

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