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About This Role:
- Independently design and implement comprehensive risk assessment models that combine geographic, demographic, and emergency response data.
- Develop and enhance predictive models for detailed, spatially accurate emergency service demand forecasting, incorporating demographic trends and urban development patterns.
- Create and validate response time models using routing algorithms tuned to real-world emergency vehicle data.
Key Skills:
- Leverage AI tools and LLMs to accelerate data transformation, analysis, and code development, and champion their adoption across the team.
- Communicate analytical results through clear, effective visualizations.
- Act as a role model for company career development, morale building and evangelism.
Requirements:
- Advanced degree (MSc or PhD) in Statistics, Operations Research, Applied Mathematics, or related quantitative field
- Five or more years of experience with statistical modelling, machine learning, and optimization algorithms.
- Expertise in geospatial analysis and GIS technologies.
Darkhorse Emergency
Darkhorse Emergency helps fire, EMS, and police services save lives through data-driven decisions. Their platform combines comprehensive reporting with advanced statistical modelling, geospatial analysis, and optimization algorithms.