Predictive Data Analyst

• Los Angeles County Department of Public Health
• Substance Abuse Prevention and Control
• Predictive Data Analyst
• Hourly Rate: $45.42
• Position: Non-Exempt
• Fully Paid Medical/Dental Insurance
• Contract through December 31, 2026

The following provides a general description of duties and a more specific description of requirements for the Predictive Data Analyst. Please note that the summary of responsibilities and required abilities identified below are not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

The Predictive Data Analyst 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.

Minimum Qualifications

• Option I: A Bachelor’s 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 -OR- A Master’s 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 II: 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.
• 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

Desired Qualifications

SAS, Statistics, Bid data analysis, predictive modeling