Data Scientist

Fully Remote
• Remote Worker - N/A
• Health and Public Safety

Full-time

The Meadows Mental Health Policy Institute (Meadows Institute) seeks a collaborative and strategic professional to support the work of Health & Public Safety Team and the Meadows Institute as a whole. The Data Scientist will work with other members of the Health & Public Safety Team to support the Institute's health and public safety portfolio.

This role involves multi-site data collection, harmonization, analysis, and reporting across a range of public safety agencies, including emergency medical services (EMS), law enforcement, 911 communications centers, and fire departments, to identify behavioral health-related calls for service. The ideal candidate will have strong experience cleaning, transforming, and harmonizing complex, often unstructured datasets from multiple sources, including public safety operational systems.

The candidate will be responsible for creating data pipelines, developing models to identify call types, building data visualizations and dashboards to monitor the project's progress, and completing deliverables that are aligned with the Meadows Institute's mission and strategy.

The preferred work location for this position is in Texas. This position may not be filled or performed in California, Colorado, Connecticut, District of Columbia, Hawaii, Illinois, Maryland, Minnesota, Montana, Nevada, New Jersey, New York, Rhode Island, Vermont, or Washington at this time. Statewide travel (up to 10%) may be required. Some duties may require access to reliable personal transportation.

• Provide full-time operational support for the Health & Public Safety Team’s portfolio of projects.
• Analyze quantitative and qualitative data to contribute to program evaluations and strategic assessments.
• Conduct and support fairness-related and cross-sector data science applied research projects with technical depth, including areas of data processing and exploration, statistical and causal inference, data modeling, machine learning, and artificial intelligence.
• Identify, prototype, and validate novel and expanded methods to solve analytic impediments to identifying behavioral health-related calls to 911 call centers.
• Serve as the primary point of contact for assigned projects.
• Work collaboratively with the Meadows Institute Data, Research, & Analysis Team to track and meet project timelines and deliverables.
• Maintain data sources and databases, including requests for new data sources, creating new databases for larger-than-memory data, and developing functions to automate frequently recurring tasks.
• Create visualizations, dashboards, and quantitative summaries for internal and external deliverables.
• Document data-cleaning procedures, coding workflows, and methodological decisions to support transparency, reproducibility, and communication across technical and non-technical audiences.
• Other duties as assigned.

• Proven experience in a data science role, with a strong background in data collection, cleaning, and analysis of justice system data.
• Strong problem-solving skills and demonstrated ability to collaborate effectively across internal and external teams, including stakeholders with varying levels of technical experience, to make and review data-cleaning and methodological decisions.
• Bachelor's degree in data science, public health, statistics/biostatistics, quantitative psychology/criminal justice, computer science, or other related field.
• A minimum of two years of relevant professional experience.
• Excellent written and verbal communication skills.
• A strong quantitative research background and statistical and programming proficiency.
• Robust experience coding in R,…