The New York City Criminal Justice Agency (CJA) needs to leverage its extensive justice system data to generate insights that will inform and improve policy and practice within the criminal justice system. This involves analyzing complex trends, evaluating policies, and assessing the impact of interventions to promote a fairer and more effective system.
Requirements
- Strong proficiency in Python or R for data manipulation, analysis, and modeling (Python preferred).
- Experience conducting causal inference and advanced econometric analyses, including RCTs, DiD, IV, ITS, matching, and synthetic control.
- Advanced statistical techniques and modern machine learning methods for predictive modeling.
- Experience working with relational databases (e.g. Microsoft SQL, PostgreSQL) and writing complex SQL queries.
- Expertise in data wrangling and cleaning, including handling messy, incomplete, or complex administrative datasets
- Proven ability to translate complex analyses into clear, actionable insights for technical and non-technical stakeholders.
- Experience integrating external data from APIs and common data formats like JSON, CSV, and Parquet
Responsibilities
- Conduct exploratory data analysis and build descriptive and predictive models to support policy and practice.
- Create reproducible workflows in Python, R, and SQL, and maintain well-documented Jupyter Notebooks.
- Develop dashboards, visualizations, and data tools to make analyses accessible to technical and non-technical stakeholders.
- Design and oversee rigorous causal studies, including RCTs and quasi-experimental designs.
- Define evaluation frameworks, identify appropriate counterfactuals, and ensure methodological rigor in estimating policy and operational impacts.
- Conduct power and sample size calculations to optimize the design of RCTs and quasi-experimental studies.
- Translate findings from causal analyses into actionable recommendations that inform policy and practice.
Other
- 5+ years of experience in applied data science, analytics, or research roles, ideally in policy or civic tech.
- A strong portfolio of self-directed analytic work is expected.
- Ability to multitask and adapt to a fast-paced environment working with urgency on requests/situations that require a quick turnaround.
- Proven ability to collaborate with complex stakeholder relationships as well as technical and nontechnical staff.
- Exceptional communication skills: A positive attitude and a customer-oriented approach are required as well as the ability to communicate clearly and effectively at all organizational levels and with stakeholders that are both highly technical and non-technical.
