Teams at Recidiviz

Analyzes Recidiviz interventions using Python and SQL, builds statistical models, measures historical and projected impact, develops automated metrics workflows, and communicates findings to stakeholders. The role defines product usage and impact measures, supports experimental and quasi-experimental analyses, and informs product strategy and fundraising partnerships focused on criminal justice outcomes.

Analyze corrections and parole administrative data using SQL and Python, model policy scenarios, quantify tradeoffs, and communicate findings to criminal justice decision-makers. The role owns analytical projects end to end, from scoping and strategy through modeling, stakeholder materials, and implementation support. Analysts collaborate with state partners, identify opportunities for further analysis, and develop reusable analytical frameworks to influence policy reforms.

Conducts exploratory and defined analyses of criminal justice datasets, identifies trends and discrepancies, prepares analytical data for state product launches, and builds documented visualizations and dashboards. The analyst communicates findings to internal teams and state partners while collaborating with senior analysts and engagement teams. Responsibilities include cleaning real-world data, supporting product launches, evaluating product impact, and developing expertise in assigned states’ data, policies, and products.