City of New York
Lead Data Scientist, Justice Processes
New York City, NY, United States
Sponsorship not specifiedDetected 1 day ago
PythonSQLMachine LearningData AnalysisData SciencePublic HealthResearchProblem SolvingPublic Speaking
About the role
- It will also involve incorporating nuanced data-driven insights into trainings, curriculums, external messaging, and other high-impact contexts.
- Preparing insights for publication or for internal use only as appropriate.
- Do you have a satisfactory combination of education and/or experience equivalent to that described in questions "1," "2," and/or "3" above?
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 research processes.
- Deliver policy briefs, presentations, and interactive dashboards that translate complex findings into actionable, decision-ready evidence.
- Partner with city agencies, nonprofits, and justice system stakeholders to scope projects and align research with operational needs.
- Support public and stakeholder engagement by presenting results at conferences, policy forums, and cross-agency working groups.
- This involves both leveraging existing evidence-based insights to drive policy and crafting a data science-driven research agenda that supports the resolution of the most pressing issues.
- MOCJ develops and implements strategies, with partners inside and outside government, to reduce crime and incarceration and to promote fairness and legitimacy.
Requirements
- Do you have a baccalaureate degree from an accredited college or university?
- Do you have an associate degree from an accredited college or university along with two (2) years of experience with administrative, analytic, coordinative, supervisory or liaison responsibilities?
- The successful candidate must be able to develop and maintain relationships with research, program, agency, community, and justice-involved partners.
- They must be creative, highly motivated, and able to manage projects from inception through implementation.
Benefits
- The Research Innovation Policy team drives the development and effective implementation of precision public health and public safety initiatives.
- Design, build, and deploy machine learning models into production environments, including monitoring for model drift and performance degradation over time.
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