Senior Data Scientist​/Emergency Appointments Homelessness

Recruitment Information

TYPE OF RECRUITMENT: OPEN COMPETITIVE - EMERGENCY

EXAM NUMBER: b1764A-EA

FILING

START DATE:

7/24/2025 at 9:00 a.m. (PT)

This examination will remain open until the needs of the service are met and is subject to closure without prior notice.

This announcement is a re‑post to reopen the filing period

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 Mental Health is seeking qualified candidates to fill emergency Senior Data Scientist 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 Senior Data Scientist.

• Collaborates with division, departmental, and countywide stakeholders to solicit, define, and manage highly complex data science projects from conception through implementation; ensures that projects result in actionable insights and recommendations that can be used to support business decisions and allocate resources; and provides ongoing consultation during program implementation of recommendations as necessary to ensure program fidelity.
• Provides technical oversight to small teams of Data Scientists and Predictive Data Analysts as necessary to ensure project success.
• Leads the discovery process with departmental stakeholders to document business requirements and frame business problems so that appropriate corresponding data science techniques and products can be identified and deployed.
• Collaborates with other department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal, external, structured, and unstructured data sources; and provides guidance to other department data experts in the selection and transformation of such sources.
• In conjunction with the Information Technology organization, supports collection, integration, and retention requirements for large sets of structured and unstructured data from disparate sources; acts as a resource for senior data engineers and architects in the selection and design of systems for use by the data science team.
• Reviews proposals by Data Scientists and analysts regarding selection and improvement of data science tools and ensures that the team’s tools and systems are well documented.
• Conducts and coordinates statistical inference of data and conveys findings and conclusions orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effectively with a wide range of audiences, including technical and nontechnical staff, stakeholders, and members of the public.
• 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 implementing recommended business process changes in ways that retain fidelity to best practices identified through the analysis and recognize the operational realities underlying existing business processes; provides ongoing consultation as recommended changes and new programs grow and evolve, including recommending modifications to adopted goals and metrics.
• Coordinates with various functional teams to develop and implement products, services, tools, or business process changes resulting from the analysis.
• Creates and validates advanced analytic products (e.g., recommender engines, auto‑classification algorithms, predictive scoring,…