Salary : $128,582.16 - $173,283.36 Annually
Location : Los Angeles County, CA
Job Type: Full time
Job Number: HH1765A-EA
Department: DEPARTMENT OF HOMELESS SERVICES & HOUSING
Opening Date: 10/29/2026
Closing Date: 11/3/2026 5:00 PM Pacific
Position/Program InformationType of RecruitmentOpen Competitive - Emergency
Filing DatesApplications will be accepted from Thursday, October 29, 2026, at 8:00 a.m. (PT) until Tuesday, November 3, 2026, 5:00 p.m. (PT). All applications must be received
before 5:00 p.m. (PT) on Tuesday, November 3, 2026, to be accepted.
Exam NumberHH1765A-EA
The LA County Board of Supervisors recently , 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 Data Scientist Supervisor 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 the Data Scientist Supervisor position.
Essential Job Functions - Plans, organizes, supervises, manages, and evaluates highly technical and complex assignments of the section; with staff, develops, implements, and monitors data science projects from inception to implementation to ensure that the objectives and desired outcomes are achieved, and that critical decisions are made in a timely manner.
- Plans, assigns, and reviews the work of data scientists and analysts to ensure accuracy, completeness, and compliance with business needs; ensures that section products and services continue to perform as desired over time and directs updates and modifications to these as necessary.
- Collaborates with IT group and program managers to identify departmental or divisional business needs and issues of strategic importance; implements enhancements to existing systems, recommends alternative systems, and assists in developing and implementing new data engineering, data modeling, and data science solutions as appropriate.
- In conjunction with the governance board and executive committees, defines the overall vision and strategy for data analytics across the organization.
- Assists to develop, implement, and evaluate divisional/departmental initiatives, strategies, and operational objectives through deployment of big data; advocates for measurability in strategic planning and operations in order to build analytics and evaluation into program design on a foundational level.
- Evaluates, manages, and participates in all aspects of the section's solution development, including quality assurance and maintenance of data sets integrated from multiple sources; exploratory data analysis; model creation, testing, and deployment; presentation of findings; and consultation with program managers regarding effective operationalization and model fidelity to improve business outcomes.
- Directs the development of technical reports, dashboards, data briefs, white papers, and publications, including advanced data visualization tools.
- Works with IT data engineers and architects to develop and maintain large-scale databases that meet high standards for completeness, accuracy, and utility; supervises and participates in quality control checks of data extraction, transformation, and loading (ETL) of large-scale, structured, unstructured, and streaming data.
- Advises divisional/departmental managers on opportunities and gaps in their current capabilities across data science technology and infrastructure; recommends plans for growth through adoption of new methods and technologies.
- Builds solutions that apply machine learning techniques to address complex business problems, derive actionable insights, and maximize decision-making confidence.
- Makes recommendations, develops technical infrastructure and analytic competencies, and participates in project selection to inform and execute the data science strategy of the County, department, or division.
- Stays current with and contributes to discovery of data science best practices; mentors staff and ensures the section maintains ongoing training and professional development and is competent in all techniques necessary to complete their duties; and participates in the broader data science community to identify and disseminate the latest developments in data and technology.
- Serves as a technical resource for divisional/departmental managers on data-driven program design and management and the translation of data science and knowledge into improved business outcomes, efficiency, and effectiveness of business processes.
For more information about the position, please visit this classification specification:
RequirementsRequirements to QualifyOption I: Two (2) years of experience leading the development and application of methods to identify, collect, process, and analyze data using advanced statistical prediction, inference, and optimization, and providing ongoing support to decision makers to strengthen data-driven program design and management, at a level equivalent to the Los Angeles County class of Senior Data Scientist
*.
Option II: 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, research methods or statistical analysis
-AND- Eight (8) years of experience, including four (4) years supervising a team of data science professionals and serving as subject matter expert, and coordinating and overseeing complex data science projects to support program, policy, and operational decision-making.
A Master's or Doctoral degree from an accredited college or university** in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience.
You MUST meet the above requirement(s) in order to be appointed to fill any vacancies related to this recruitment.
Special Requirement Information*In the County of Los Angeles, experience at a level equivalent to
Senior Data Scientist is defined as leads the development and application of methods to identify, collect, process, organize, and analyze structured and unstructured data using advanced statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers and provides ongoing support to strengthen data-driven program design and management.
**To receive credit for your education, include a copy of your official diploma or letter/certificate
-AND- official transcript from an accredited institution within seven (7) calendar days of the end of the filing period. Please submit documentation to and indicate your name, the exam name, and the exam number. The document should show the date the degree was conferred and be in English; if it is in a foreign language, it must be translated and evaluated for equivalency to U.S. standards. For more information on our standards for educational documents, please visit:
_PPG123.pdf and ;
We do not accept password-protected documents. Ensure documents are unlocked before attaching to your application or sending to the exam analyst.
You may still qualify even if your job title isn't exactly the same as the ones listed. What matters is that your experience is at a similar level - meaning your job involves similar responsibilities, requires comparable skills and knowledge, and takes place within a similar organizational structure. Please provide a clear explanation of your experience to demonstrate that it is at the appropriate level.
LicenseA 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 ClassII - 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 leading the recommendation and development of data science methods within healthcare-related or homelessness-related projects, including work with HIPAA-covered protected health information.
- Five (5) years of experience within the last eight (8) years supervising a team in one or more of the following:
- Working with large, fragmented administrative datasets - including individual-level records from social services, healthcare, or government programs.
- Selecting and applying statistical or machine learning models appropriate to the business problem, including model assumptions and limitations.
- Producing recurring reports or dashboards from administrative data systems using tools such as Tableau, Looker, Power BI, Databricks Dashboards, Sparks, Azure Synapse, or equivalent platforms.
- Developing dashboards or automated reports that translate analytic outputs into actionable information for program managers or operational staff.
- Collaborating with data engineers or IT staff to scope data needs, provide feedback on data systems, and integrate analytic workflows into data pipelines.
- Applying version control (e.g., Git) and basic software development practices, such as code documentation and reproducibility standards.
- Working on an Extract, Transform, and Load (ETL) process using data input tools to clean and combine datasets.
- Experience serving as a subject matter expert presenting data analysis findings to non-technical stakeholders including program staff, leadership, and external partners.
Additional InformationExam ContentDuring 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.
Application and Filing InformationApplications must be filed online only and will be reviewed for interview consideration on an ongoing basis. If you have not been contacted within 60 days and the recruitment remains open or reopens for filing, we encourage you to submit a new application. This will allow you to reaffirm your interest and update any relevant information. Please note, applicants will not receive individual notifications regarding their application or whether they meet the requirements.
Other important notifications will be sent electronically to the email address provided on the application, so it is important that you provide a valid email address. Please add , as well as and to your email address and list of approved senders to prevent email notifications from being filtered as spam/junk/clutter mail.
You have the ability to opt out of emails from LA County. If you unsubscribe, you will not receive any email notification for any examination for which you apply with Los Angeles County. Regardless of whether you choose to unsubscribe, you can always check for notifications by logging into governmentjobs.com and viewing your profile inbox, which saves a copy of all emailed notices.
Plan to submit your online application well in advance of the deadline as you may be required to verify your email address. This only needs to be done once per email address, and if you already have a job seeker account on , you can verify at any time by logging in and following the prompts. This is to enhance the security of your online application and to ensure you do not enter an incorrect email address.
Social Security NumberPlease include your Social Security Number for record control purposes. Federal law requires that all employed persons have a Social Security Number.
Computer and Internet Access at Public LibrariesFor candidates who may not have regular access to a computer or the internet, applications can be completed on computers at public libraries throughout Los Angeles County.
Anti-Racism, Diversity, and Inclusion (ARDI)The County of Los Angeles recognizes and affirms that all people are created equal and are entitled to all rights afforded by the Constitution of the United States. The Department of Human Resources is committed to promoting Anti-racism, Diversity, and Inclusion efforts to address the inequalities and disparities amongst race. We support the ARDI Strategic Plan and its goals by improving equality, diversity, and inclusion in recruitment, selection, and employment practices.
Department Contact Name: Corinna SasisDepartment Contact Email: Teletype Phone: COUNTY OF LOS ANGELES Employment InformationAny 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:
Testing 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:
Fair 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
Veteran's Credit:Pursuant to the County Charter and County policy, in all open competitive examinations (i.e., examinations open to everyone), the County of Los Angeles will add a credit of 10 percent of the total credits specified for such examination to the final passing score of an honorably discharged veteran, as well as the spouse of a deceased or disabled veteran, who served in the Armed Forces of the United States under specific conditions.
For more information on veteran's credit, please visit:
Revised September 2025
For detailed information, please click
01
The information you provide on this supplemental questionnaire will be evaluated and used to determine your eligibility to participate in the next phase of the examination process.
CHECK YOUR ANSWER CAREFULLY. Any mistakes you make and/or any incomplete responses you provide in completing these questions will be used to disqualify your application even if you possess the qualifying experience or education. Be specific as possible and include all information requested.
- I understand the above information and instructions.
02
This position works in support of the County's response to homelessness.
- Yes, I understand and am willing to perform all necessary work duties.
03
Many important notifications will be sent electronically to the email address provided on the application, so it is important that you provide a valid email address. Please add as well as , and to your email address and list of approved senders to prevent email notifications from being filtered as spam/junk/clutter mail.
- I understand the above information and instructions.
04
How much experience do you have leading the development and application of methods to identify, collect, process, and analyze data using advanced statistical prediction, inference, and optimization, and providing ongoing support to decision makers to strengthen data-driven program design and management, at a level equivalent to the Los Angeles County class of Senior Data Scientist*.
*In the County of Los Angeles, experience at a level equivalent to Senior Data Scientist is defined as leads the development and application of methods to identify, collect, process, organize, and analyze structured and unstructured data using advanced statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers and provides ongoing support to strengthen data-driven program design and management.
You may still qualify even if your job title isn't exactly the same as the ones listed. What matters is that your experience is at a similar level - meaning your job involves similar responsibilities, requires comparable skills and knowledge, and takes place within a similar organizational structure. Please provide a clear explanation of your experience to demonstrate that it is at the appropriate level.
- No experience
- Less than 1 year
- 1 year to less than 2 years
- 2 years or more
05
Please describe your experience that supports your response to
Question #4, and include the following information:
- Payroll Title
- Department and Division/Section/Unit
- Dates of Employment: FROM (mm/dd/yy) - TO (mm/dd/yy)
- Number of hours worked per week
- Duties performed
If you do not have experience in this area, please indicate "N/A".
06
Do you have 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, research methods or statistical analysis?
**To receive credit for your education, include a copy of your official diploma or letter/certificate -AND- official transcript from an accredited institution within seven (7) calendar days of the end of the filing period. Please submit documentation to and indicate your name, the exam name, and the exam number. The document should show the date the degree was conferred and be in English; if it is in a foreign language, it must be translated and evaluated for equivalency to U.S. standards. For more information on our standards for educational documents, please visit:
_PPG123.pdf and _PPG_123_ACE_Resource_Guide.pdf ;
We do not accept password-protected documents. Ensure documents are unlocked before attaching to your application or sending to the exam analyst.
- Yes, I have 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, research methods or statistical analysis and I have attached my copy of my official diploma or letter/certificate and official transcripts as proof to my online application.
- Yes, I have 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, research methods or statistical analysis and I will email a copy of my official diploma or letter/certificate and official transcripts as proof to within seven (7) calendar days of the end of the filing period.
- No, I do not have 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, research methods or statistical analysis.
07
Do you have a Master's or Doctoral degree from an accredited college or university** in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health?
**To receive credit for your education, include a copy of your official diploma or letter/certificate -AND- official transcript from an accredited institution within seven (7) calendar days of the end of the filing period. Please submit documentation to and indicate your name, the exam name, and the exam number. The document should show the date the degree was conferred and be in English; if it is in a foreign language, it must be translated and evaluated for equivalency to U.S. standards. For more information on our standards for educational documents, please visit:
_PPG123.pdf and _PPG_123_ACE_Resource_Guide.pdf ;
We do not accept password-protected documents. Ensure documents are unlocked before attaching to your application or sending to the exam analyst.
- Yes, I have 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 and I have attached a copy of my official diploma or letter/certificate and official transcripts as proof to my online application.
- Yes, I have a Master's or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health and I will email a copy of my official diploma or letter/certificate and official transcripts as proof to within seven (7) calendar days of the end of the filing period.
- No, I do not have Master's or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health.
08
How much experience do you have supervising a team of data science professionals and serving as a subject matter expert, and coordinating and overseeing complex data science projects to support program, policy, and operational decision-making?
A Master's or Doctoral degree from an accredited college or university** in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience.
**To receive credit for your education, include a copy of your official diploma or letter/certificate -AND- official transcript from an accredited institution within seven (7) calendar days of the end of the filing period. Please submit documentation to and indicate your name, the exam name, and the exam number. The document should show the date the degree was conferred and be in English; if it is in a foreign language, it must be translated and evaluated for equivalency to U.S. standards. For more information on our standards for educational documents, please visit:_PPG123.pdf and _PPG_123_ACE_Resource_Guide.pdf ;We do not accept password-protected documents. Ensure documents are unlocked before attaching to your application or sending to the exam analyst.
- No experience
- Less than 1 year
- 1 year to less than 2 years
- 2 years to less than 3 years
- 3 years to less than 4 years
- 4 years to less than 5 years
- 5 years to less than 6 years
- 6 years to less than 7 years
- 7 years to less than 8 years
- 8 years or more
09
Please describe your experience that supports your responses to
Question #8, and include the following information:
- Payroll Title
- Department and Division/Section/Unit
- Dates of Employment: FROM (mm/dd/yy) - TO (mm/dd/yy)
- Number of hours worked per week
- Duties performed
If you do not have experience in this area, please indicate "N/A".
10
DESIRABLE QUALIFICATIONSThe following questions relate to desirable qualifications. If you are eligible for hire, Hiring Managers may use your responses during the selection process. As such, it is important to answer these questions carefully and accurately to ensure you are fully considered.
- I understand the above information and instructions.
11
Do you have experience leading the recommendation and development of data science methods within healthcare-related or homelessness-related projects, including work with HIPAA-covered protected health information?
12
Please describe your experience that supports your responses to
Question #11, and include the following information:
- Payroll Title
- Department and Division/Section/Unit
- Dates of Employment: FROM (mm/dd/yy) - TO (mm/dd/yy)
- Number of hours worked per week
- Duties performed
If you do not have experience in this area, please indicate "N/A".
13
Do you have five (5) years of experience within the last eight (8) years supervising a team in one or more of the following:
- Working with large, fragmented administrative datasets - including individual-level records from social services, healthcare, or government programs.- Selecting and applying statistical or machine learning models appropriate to the business problem, including model assumptions and limitations.- Producing recurring reports or dashboards from administrative data systems using tools such as Tableau, Looker, Power BI, Databricks Dashboards, Sparks, Azure Synapse, or equivalent platforms.- Developing dashboards or automated reports that translate analytic outputs into actionable information for program managers or operational staff.- Collaborating with data engineers or IT staff to scope data needs, provide feedback on data systems, and integrate analytic workflows into data pipelines.- Applying version control (e.g., Git) and basic software development practices, such as code documentation and reproducibility standards.- Working on an Extract, Transform, and Load (ETL) process using data input tools to clean and combine datasets.
14
Please indicate which areas you have the experience in. (select all that apply)
- Working with large, fragmented administrative datasets -- including individual-level records from social services, healthcare, or government programs.
- Selecting and applying statistical or machine learning models appropriate to the business problem, including model assumptions and and limitations.
- Producing recurring reports or dashboards from administrative data systems using tools such as Tableau, Looker, Power BI, Databricks Dashboards, Sparks, Azure Synapse, or equivalent platforms.
- Developing dashboards or automated reports that translate analytic outputs into actionable information for program managers or operational staff.
- Collaborating with data engineers or IT staff to scope data needs, provide feedback on data systems, and integrate analytic workflows into data pipelines.
- Applying version control (e.g., Git) and basic software development practices, such as code documentation and reproducibility standards.
- Working on an Extract, Transform, and Load (ETL) process using data input tools to clean and combine datasets.
- No experience
15
Please describe your experience that supports your response to
Questions #13 and #14, and include the following information:
- Payroll Title
- Department and Division/Section/Unit
- Dates of Employment: FROM (mm/dd/yy) - TO (mm/dd/yy)
- Number of hours worked per week
- Duties performed
If you do not have experience in this area, please indicate "N/A".
16
Do you have experience serving as a subject matter expert presenting data analysis findings to non-technical stakeholders including program staff, leadership, and external partners?
17
Please describe your experience that supports your response to
Question #16, and include the following information:
- Payroll Title
- Department and Division/Section/Unit
- Dates of Employment: FROM (mm/dd/yy) - TO (mm/dd/yy)
- Number of hours worked per week
- Duties performed
If you do not have experience in this area, please indicate "N/A".
Required Question
