Data Scientist Supervisor - Fire

City of Aurora•Aurora, CO

4d•$96,800 - $121,000•Onsite

About The Position

The Data Analytics Supervisor is responsible for leading data governance, analytics, and performance measurement initiatives across Aurora Fire Rescue. This position supports operational and strategic decision-making through advanced analytics, reporting, and predictive modeling.

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Public Administration, or a related field
At least five (5) years of experience in data analysis, data science, business intelligence, or a closely related field
Three (3) years of supervisory experience
Experience working with large, complex datasets and multiple data sources
Experience developing reports and dashboards for operational and executive audiences
Knowledge of SQL, Python, R, and data visualization tools (e.g., Power BI, Tableau)
Knowledge of data governance frameworks, data quality management, and data lifecycle practices
Knowledge of statistical analysis, predictive modeling, and data science methodologies
Knowledge of data privacy, security, and regulatory compliance requirements
Knowledge of performance measurement frameworks and key performance indicators (KPIs) in public safety or government operations
Skill in analyzing complex data, solving problems, and presenting findings to varied audiences
Skill in data quality assessment and remediation techniques
Skill in developing and validating predictive models for forecasting and resource allocation
Skill in data visualization and dashboard development using modern BI tools (e.g., Power BI, Tableau)
Skill in communicating complex technical information to non-technical audiences
Skill in facilitating cross-functional collaboration with diverse stakeholders
Ability to establish and maintain effective working relationships with diverse stakeholders including employees, leadership, community members, and elected officials
Ability to communicate complex technical information to non-technical audiences
Ability to maintain accuracy and attention to detail in high-stakes environments
Ability to translate operational problems into data-driven analytical solutions
Ability to lead and manage a technical team in a dynamic, mission-critical environment
Ability to evaluate emerging technologies and recommend appropriate tools and systems
Valid driver’s license or ability to meet the transportation requirements of the position

Nice To Haves

Experience in public safety, fire service, EMS, or emergency management analytics
Master’s degree in a related field
Proficiency with GIS and geospatial analysis tools (e.g., ArcGIS)
Experience working with CAD, RMS, or other public safety systems
Experience with predictive analytics and machine learning techniques

Responsibilities

Supervision of the AFR data and data team
Develop, implement, and maintain data governance standards and practices for AFR data systems
Analyze fire, EMS, and emergency response data to identify trends, risks, and opportunities for improvement
Build predictive models to support call volume forecasting, staffing, and resource deployment
Design and maintain dashboards, reports, and performance metrics (e.g., response times, service demand, unit reliability)
Ensure compliance with reporting standards and regulatory requirements (e.g., NFIRS, NEMSIS)
Develop and maintain data sources integrating various systems while ensuring data quality, integrity, and standardization across multiple systems
Collaborate with internal and external stakeholders, including Fire Operations, EMS, Emergency Management, Members Services, Community Risk Reduction, and City departments
Provide data-driven recommendations to command staff and executive leadership
Support command staff with situational awareness tools during high demand or major incidents, including activation of the Emergency Operations Center (EOC) as needed
Collect, analyze, and present data; cross compare and analyze data from Community Operations, Members Services, Community Risk Reduction, and Business Services and present predictive and causative analytics, providing an understanding of department-wide data
Evaluate and implement new technologies and tools to improve analytics capabilities
Perform other duties as assigned

Benefits

Competitive total compensation package
Well-Funded General Employees Retirement Plan
Light rail station minutes away
On-site fitness center and overall employee well-being programs
Internal educational programs to assist with career advancement
Access to innovation workspaces
Generous paid leave program
100% funded Employee and Family Care Leave Program
Retirement pension plan and 457b plans available
Subsidized recreation center pass, on-site fitness centers and wellness programs
Continued education and career advancement opportunities