PREDICTIVE DATA ANALYST / EMERGENCY APPOINTMENT HOMELESSNESS

About the Role

Key Responsibilities

• Assist in maintaining and analyzing County, departmental, or divisional data assets.
• Utilize classical and machine learning techniques, including predictive and prescriptive analytics, to support data-driven program design and management.
• Produce dashboards, reports, and advanced data visualization products to help program managers monitor outputs and outcomes.
• Perform regular quality-assurance analysis on relevant data sets and work with data administrators and IT staff to establish data pipelines and identify issues.
• Apply well-established analytic principles, methods, and procedures within existing data systems to complete routine-to-moderately-difficult functions and projects.
• Collaborate with senior data scientists, program staff, stakeholders, and providers to develop and implement strategies for program improvement.
• Conduct predictive data assignments for Behavioral Health Quality Improvement Projects (BHQIP) and performance improvement projects (PIPs).
• Analyze large-scale service utilization data to predict at-risk and high utilizers and identify performance gaps.
• Utilize big data sources such as Sage, Census, and MEDS data to inform leadership decisions on costs, utilization, and quality of care.

Requirements

• A Bachelor's degree from an accredited college or university in Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health, including 12 semester or 18 quarter units in data science, predictive analytics, research methods, or statistical analysis.
• And two (2) years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis to complex experimental designs.
• Or a Bachelor's degree as above plus a Master's or Doctoral degree in a relevant field.
• Or four (4) years of experience in planning, designing, conducting, and evaluating research projects involving machine learning, predictive analytics, and data management.
• A valid California Class C Driver License or the ability to utilize alternative transportation.
• Legible official transcripts or diplomas showing degree completion and specialization.

Nice to Have

• Experience with advanced statistical techniques and methodologies.
• Experience working with large-scale health or service utilization data.
• Knowledge of regulatory requirements related to behavioral health programs and grants.

Qualifications

• Educational qualifications as specified in the requirements section.
• Experience with machine learning, predictive analytics, and data management tools.

Benefits & Perks

• Initial employment period of up to 90 days with potential for permanent appointment.
• Opportunity to work on impactful projects addressing homelessness and health disparities.
• Work within a government agency with opportunities for professional development.