Description

Key Responsibilities
Data Analysis & Modeling
 Conduct advanced statistical analyses to identify crime trends and evaluate
risk factors.
 Conduct predictive modeling to forecast resource needs and identify potential
crime hotspots or high-risk individuals.
Assess program effectiveness and policy impact using evidence-based
methodologies.
 Support agency-wide projects involving the management of large datasets for
investigative support or analysis.
 Data Integration & Governance
 Develop and maintain secure data pipelines integrating law enforcement,
judicial, and corrections data.
 Ensure compliance with federal, state, and local data privacy and security
regulations (e.g., CJIS standards).
Reporting & Visualization
 Prepare clear, actionable reports and dashboards for agency leadership,
policymakers, and stakeholders.
 Translate technical findings into accessible insights for non-technical
audiences.
 Collaboration & Research
 Partner with internal divisions, other government agencies, and research
institutions on data initiatives.
Contribute to grant proposals and federally funded research projects.

Qualifications
Education
o Baccalaureate, Master’s or Ph.D. in Data Science, Statistics, Criminal Justice,
Computer Science, or related field.
 Experience
 At least three years of experience in data science, data analysis, intelligence,
full-stack web development, or project management, preferably in a public
safety or criminal justice setting.
 Technical Skills:
 Proficiency in Python, R, SQL, and data visualization tools like Power BI.
 Experience with machine learning frameworks and statistical modeling.
 Familiarity with GIS and spatial analysis is preferred.
 Domain Knowledge:
 Strong understanding of criminal justice processes and government data
standards.
 Experience handling sensitive or classified data in compliance with CJIS and
FOIA guidelines.
 Soft Skills:
 Excellent communication and presentation skills for diverse audiences

Key Skills

Education

Any Graduate