About the Role
This role involves analyzing large datasets to identify trends, support decision-making, and drive systemic change in the criminal justice system.
Responsibilities
- Collect and validate data from criminal justice agencies
- Clean and standardize datasets for analysis
- Identify patterns in incarceration and recidivism
- Build and maintain data pipelines
- Create visualizations to communicate findings
- Collaborate with policy teams to interpret data
- Support the development of performance metrics
- Ensure data accuracy and consistency
- Document data sources and methodologies
- Respond to data requests from partners
- Improve data collection processes
- Monitor data quality over time
- Translate technical findings for non-technical audiences
- Assist in building predictive models
- Support the evaluation of pilot programs
- Work with engineering teams to integrate data systems
- Maintain up-to-date knowledge of criminal justice data standards
- Contribute to public data reports
- Ensure compliance with data privacy protocols
- Participate in stakeholder meetings
Nice to Have
- Master’s degree in a quantitative field
- Experience with large administrative datasets
- Background in public policy research
- Familiarity with Tableau or Looker
- Knowledge of machine learning concepts
- Experience in government or nonprofit sectors
- Understanding of recidivism metrics
- Prior work in criminal justice data
- Contributions to open-source projects
- Publications or presentations in data science
Compensation
Competitive salary with benefits
Work Arrangement
Remote with flexible hours
Team
Small, mission-driven team focused on criminal justice reform
Our Mission
- We aim to reduce incarceration by improving data transparency in the criminal justice system.
- Our work helps policymakers make informed decisions that lead to fairer outcomes.
Impact
- Analysts directly influence state-level policy changes.
- Work contributes to measurable reductions in prison populations.
Available for qualified candidates
