Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from LOS ANGELES COUNTY
Position/Program Information
Type of Recruitment
Open Competitive - Emergency
Filing Dates
Applications will be accepted from Monday, May 18, 2026, at 8:00 a.m. (PT) until Wednesday, May 20, 2026, 5:00 p.m. (PT). All applications must be received before 5:00 p.m. (PT) on Wednesday, May 20, 2026, to be accepted.
Exam Number
HH1762A-EA
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 Department of Homeless Services and Housing 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.
During 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.
Essential Job Functions
- Assists department stakeholders to define data needs and requirements to ensure data science projects meet business needs at the community, regional, divisional, departmental, or county-wide level.
- Collaborates with other department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal and external data sources.
- Collaborates with data administrators and other IT staff to develop data pipelines and ensure the availability of quality data.
- Uses statistical programming languages and packages, computer scripting languages, and/or domain-specific languages to digest, manipulate, prepare, augment, evaluate, analyze, summarize, and visualize data.
- Conducts end-to-end predictive data modeling projects that include basic exploratory data analysis, feature engineering, model selection, deployment of models into production environments, and visualization of findings.
- Uses advanced data visualization techniques to create data dashboards and reports to be used by varying levels of the enterprise and business managers.
- Uses supervised machine learning techniques on less complex business problems, with an understanding of algorithms, feature selection, variable importance, hyper parameter tuning, and optimization.
- Performs data management and manipulation, including the writing of data queries of departmental databases and data marts, data cleaning, and joining of multiple and disparate data sets.
- Extracts and organizes data and applies quality-control techniques to ensure the accuracy and completeness of all data; researches source documents and coordinates with others to resolve missing or conflicting data and other anomalies.
- Assists in planning, designing, and managing experiments, consumer surveys, and other data collection projects to augment existing sources of data as necessary to solve business problems.
- Works with program staff to understand the implications of analyses and to ensure that findings are actionable and support data-driven program, policy, and operational decision-making.
- Assists in coordinating with various functional teams to develop and implement products, services, tools, or business process changes resulting from the analysis.
- Accesses ongoing training and professional development to maintain familiarity with current industry and academic research to apply the latest and most useful statistical learning techniques to help extract patterns and trends from data.
Requirements
Requirements to Qualify
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 hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations. One (1) year of experience must have included data science coding language.
You MUST meet the above requirement(s) in order to be appointed to fill any vacancies related to this recruitment.
License
A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
Physical Class
II - Light: This class includes administrative and clerical positions requiring light physical effort that may include occasional light lifting to a 10-pound limit and some bending, stooping, or squatting. Considerable ambulation may be involved.
Desirable Qualifications
- Experience working for a pub
Source: LOS ANGELES COUNTY careers