Impactful Predictive Data Analyst

County-of-Los-Angeles; California; Presencial; USD 80.000 - 100.000; Jornada completa

Descripción de la vacante

County of Los Angeles seeks an Emergency Health Program Analyst III to support homelessness data initiatives. You will work on data pipelines, predictive models, and dashboards to inform policy and operations. This emergency appointment can lead to permanent employment based on performance.

The role requires a strong foundation in data science, machine learning, and data visualization, with ability to collaborate across departments and present findings to leadership.

Formación

• Experience applying machine learning, predictive analytics, data management, and hypothesis-driven analysis.
• Education credit requires official diploma and transcripts within 7 days post filing period.
• Strong ability to communicate analytic findings to non-technical audiences.

Responsabilidades

• Define data needs and requirements with department stakeholders.
• Identify and select relevant internal and external data sources.
• Develop data pipelines and ensure quality data availability.
• Digest, manipulate, and visualize data using statistical and scripting languages.
• Lead end-to-end predictive modeling and deploy models to production.
• Create dashboards/reports for executives and program managers.
• Coordinate with teams to implement data-driven program changes.

Conocimientos

Real-world data quality issues

Recurring reports & dashboards

Communicating analytic findings

Version control (Git)

Stata, SQL, Python, R

QA on reports/projects

ETL processes

Educación

Bachelor’s degree in applied data science/related

Master’s/Doctoral in data science or related field

Descripción del empleo

County of Los Angeles seeks an Emergency Health Program Analyst III to support homelessness data initiatives. You will work on data pipelines, predictive models, and dashboards to inform policy and operations. This emergency appointment can lead to permanent employment based on performance.

The role requires a strong foundation in data science, machine learning, and data visualization, with ability to collaborate across departments and present findings to leadership.