Data Scientist: Safety Analytics & Predictive Modeling

Prince William County; Woodbridge (VA); On-site; USD 83,000 - 98,000; Full time

Benefits offered by this job

Retirement from VRS

401a and 457 plans

Paid annual leave

Paid personal leave

Paid sick leave

Paid holidays

Group Medical and Dental plans

Group Life Insurance

Employee Assistance Program

Career development opportunities

Job summary

Prince William County Police Department is seeking a Data Scientist (Senior Business Services Analyst) to join a data-driven team. The role focuses on analyzing diverse datasets, building predictive models, and delivering insights that support public safety and county operations.

The ideal candidate has strong data analytics experience, expertise in SQL and Power BI, and the ability to communicate complex analyses to non-technical stakeholders.

Qualifications

• High School diploma or GED with 5 years of data analytics experience.
• Bachelor's degree with 5 years of experience preferred.
• Proficiency in Power BI, SQL, Transact-SQL, Records Management Systems and CAD.
• Strong background in statistical analysis, machine learning, and data mining.

Responsibilities

• Analyze complex datasets to derive actionable insights.
• Develop predictive models and validate their accuracy.
• Create data visualizations and dashboards to communicate findings.
• Collaborate with business units to understand data needs and support data-driven decisions.

Skills

Data analysis

Statistical modeling

Machine learning

Data visualization

Dashboard development

Education

Bachelor's degree

High School diploma or GED

Tools

Power BI

SQL

Transact-SQL

Records Management Systems

Computer Aided Dispatch

Job description

Prince William County Police Department is seeking a Data Scientist (Senior Business Services Analyst) to join a data-driven team. The role focuses on analyzing diverse datasets, building predictive models, and delivering insights that support public safety and county operations.

The ideal candidate has strong data analytics experience, expertise in SQL and Power BI, and the ability to communicate complex analyses to non-technical stakeholders.