Predictive Data Analyst​/Emergency Appointment Homelessness

Position: PREDICTIVE DATA ANALYST / EMERGENCY APPOINTMENT HOMELESSNESS
EXAM NUMBER:

PH1762B-EA

TYPE OF RECRUITMENT:

OPEN COMPETITIVE - EMERGENCY

FIRST DAY OF FILING:

The application filing period will begin on Thursday, July 17, 2025 at 8:30 a.m. (PT) - Continuous.

We will keep accepting applications until the position is filled. The application window may close unexpectedly once we have enough qualified candidates.

The LA County Board of Supervisors recently declared a local state of emergency for homelessness, and the County is working to revise and expand our response to help all who are affected. We are looking for qualified and passionate individuals to help us in the mission of addressing issues like housing, mental health, and substance use. If you are looking for a new career that will directly benefit the population of LA County, this may be the opportunity for you.

The County of Los Angeles Department of Public Health is seeking qualified candidates to fill emergency Predictive Data Analyst vacancies related to the homelessness crisis.

Under the emergency order, applicants who meet the requirements may be hired for an initial period of up to 90 days, with an opportunity for permanent County employment.

Before the end of your initial work period, you will be assessed on your work performance. This assessment will be weighted 100%.

Those who successfully pass the assessment will be considered for permanent appointment to Predictive Data Analyst.

The Predictive Data Analyst positions are located within the Evaluation Section of the Health Outcomes and Data Analytics (HODA) Division of the Substance Abuse Prevention & Control Bureau. The Predictive Data Analyst will assist with the design, development, and planning implementation of evaluation services and highly complex data science projects which will significantly contribute to the overarching goals of optimizing program effectiveness, ensuring regulatory compliance, and promoting health equity within the managed care framework.

DEFINITION:

Under immediate supervision, assists in maintaining and analyzing County, departmental, or divisional data assets; utilizes classical and machine learning techniques, including predictive and prescriptive analytics, to support data-driven program design and management; and produces dashboards, reports, and other advanced data visualization products to help program managers monitor outputs and outcomes.

CLASSIFICATION STANDARDS:

This is the first working level in the professional data science/analysis series. Positions allocable to this class work under the immediate supervision of a Data Scientist Supervisor, or supervisor or manager responsible for the data analytics, research, or statistical function of a department, to analyze and maintain the quality of County, departmental, or divisional data assets.  Incumbents perform regular quality-assurance analysis upon relevant data sets and work with data administrators and other information technology staff to establish data pipelines and identify issues in need of correction.

Incumbents use major statistical programming languages and packages to deploy well-established machine learning and advanced data visualization techniques to complete well-defined, routine-to-moderately-difficult functions and projects.  Incumbents may oversee smaller or more routine projects and contribute to larger, more complex projects overseen by a Data Scientist or Senior Data Scientist.

Predictive Data Analyst is distinguished from the higher-level Data Scientist in that the latter independently completes moderately complex data science projects or major aspects of large/complex projects, which may include developing new analytic methods, functions, or data architectures, whereas Predictive Data Analysts apply well-established analytic principles, methods, and procedures within existing data systems and architectures to complete well-defined, routine-to-moderately-difficult functions and projects.

Positions in this class differ from those that plan, design, conduct and evaluate research projects involving complex experimental designs and data analysis, programming and processing of data, and preparing reports and recommendations based on research…