Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via email$ 94477 - 127316
1 Vacancy
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 findings in that these classes do not employ machine learning or big data as part of their analyses.
Assists with the design development and planning implementation of evaluation services and highly complex data science projects by collaborating with the Sr Data Scientist and SAPC program staff contracted providers and other stakeholders that are needed to drive planning and policy decisions to reduce cost promote quality of care and implement value-based SUD treatment and prevention services including but not limited to forecasting utilization and cost cost/finance analyses cost-effectiveness analyses and predictive/prescriptive data modeling to identify investment prioritization design interventions and measure outcomes identifying existing and emerging trends and gaps in care to maximize revenue and to reduce the cost of unnecessary waste and over/under utilization of services.
Conducts predictive data assignments for Behavioral Health Quality Improvement Projects (BHQIP) and performance improvement projects (PIPs) mandated by the state and External Quality Review Organization (EQRO) by identifying areas for improvement within SAPCs programs and services through complex data analysis and performance metrics.
Collaborates with Sr Data Scientist program managers patients stakeholders and provider network members to develop and implement strategies to address identified areas of improvement and enhance program effectiveness and efficiency.
Assists with the program performance evaluation ensuring adherence to regulatory requirements fidelity outcomes and effectiveness of various funding programs and grants including CalWORKs and General Relief Measure H Behavioral Health Bridge Housing (BHBH) Assembly Bill (AB) 109 Care First and Community Investment Block Grants and state or federal grant awards.
Utilizes advanced statistical techniques and methodologies to analyze large-scale service utilization data (e.g. service utilization by CPT codes level of care and provider type and agency) to predict at-risk and high utilizers and risk performance areas and initiating other projects.
Utilizes big data collected via Sage in addition to Census and Medical Eligibility Data System (MEDS) data to conduct predictive/prescriptive data modeling that will inform SAPC leadership to make better financial business policy and operational decisions in managing costs utilization and quality of care as well as financial risk management.
MINIMUM REQUIREMENTS:
OPTION I: A Bachelors degree* from an accredited college or university in a field of applied research such as Data Science Machine Learning Mathematics Statistics Business Analytics Psychology or Public Health that included 12 semester or 18 quarter units of coursework in data science predictive analytics quantitative research methods or statistical analysis.
-AND-
Two (2) years of experience in the application of techniques of machine learning predictive analytics data management and hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations.
A Masters or Doctoral degree** from an accredited college or university in a field of applied research such as Data Science Machine Learning Mathematics Statistics Business Analytics Psychology or Public Health.
OPTION III: Four (4) years of experience with responsibility for planning designing conducting and evaluating research projects involving the application of techniques of machine learning predictive analytics data management and/or hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations.
LICENSE:
A valid California Class C Driver License or the ability to utilize alternative method of transportation when needed to carry out job-related essential functions
You MUSTmeet the above requirement(s) in order to be appointed to fill any vacancies related to this recruitment.
EXAMINATION CONTENT:
During your initial work period the appointing department will evaluate your performance. Those who achieve a passing score on this evaluation will be considered for permanent appointment.
COUNTY OF LOS ANGELES
Employment Information
Any language contained in the job posting supersedes any language contained below.
This document is intended to provide general information about the recruitment process of the County of Los Angeles. Applicants with questions about a specific job posting should contact the exam analyst listed on the posting.
Equal Employment Opportunity/Non-Discrimination Statement:
The County of Los Angeles is an Equal Employment Opportunity Employer and is committed to non-discrimination in the County workforce regardless of age (40 and over); ancestry; color; ethnicity; religious creed; protected family or medical leave status; disability; marital status; medical condition; genetic information; military and veteran status; national origin; race ; sex; gender; sexual orientation; or any other characteristic protected by State or federal law. For more information please visit: Accommodations for Applicants:
The County of Los Angeles complies with all federal and state disability laws and makes reasonable accommodations for qualified applicants and employees with disabilities. If a reasonable accommodation is needed to participate in the job application process please contact the testing accommodation coordinator listed on the job posting. Hearing impaired applicants with telephone teletype equipment may leave messages by calling the teletype phone number on the job posting. For more information on accommodations please visit: Chance:
The County of Los Angeles is a Fair Chance employer. Except as otherwise permissible under applicable laws you will not be asked to provide information about conviction history unless you receive a conditional offer of employment. The County will make an individualized assessment of whether your conviction history has a direct and adverse relationship with the specific duties of the job and will also consider potential mitigating factors which may include but is not limited to evidence and extent of rehabilitation recency of the offense(s) and age at the time of the offense(s). If asked to provide information about conviction history any convictions or court records which are exempted by a valid court order do not have to be disclosed. Qualified applicants with arrest or conviction records will be considered for employment in accordance with County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952).
Employment Eligibility:
Final appointment is contingent upon verification of U.S. citizenship or the right to work in the United States.
Career PathFinder:
Resources to help current and prospective employees plan a career with Los Angeles County are available. To explore career paths to and from nearly all job titles please visit our interactive Career PathFinder application at .
Revised January 2025
Required Experience:
IC
Full-Time