Data Scientist Supervisor

Position Overview

Salary: $9,852.82 - $13,278.10 Monthly

Location: Downtown Los Angeles

Data Scientist Supervisor ("The Director") provides administrative and technical supervision to a unit responsible for the development and maintenance of IT systems, data analytics, and business intelligence initiatives for Community Programs within the Department of Health Services (DHS). The role supports programs serving justice-involved and/or homeless populations by delivering data-driven reporting and evaluation, collaborating with senior IT and program leadership to design, implement, and maintain data systems and analytics infrastructure, and defining the overall vision, governance, and strategy for data analytics and IT integration in Community Programs. This position is a hybrid role with the office based in downtown Los Angeles.

Key Responsibilities

• Plans, organizes, supervises, and evaluates complex data analytics, business intelligence, and IT integration operations across Community Programs.
• Develops, implements, and monitors large-scale data science and reporting projects from inception to deployment, ensuring objectives and outcomes are met in a timely manner.
• Supervises and mentors a diverse team of analysts and data scientists, supports training and development of technical skills, and fosters a collaborative, high-performing work environment.
• Advises program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve operational efficiency and data-driven decision-making.
• Directs the design, development, and maintenance of complex data systems—including platforms such as the Comprehensive Health Accompaniment and Management Platform (CHAMP), the Diversion Database, and the LA County InfoHub—ensuring interoperability and performance.
• Works closely with CP and DHS leadership to define the overall strategy and vision for data analytics and IT integration, aligning with Countywide priorities in health, housing, and justice.
• Collaborates with various County departments to improve IT systems, data pipelines, and analytic tools, and oversees the production of dashboards and performance reports for multiple stakeholders.
• Leads efforts to standardize data collection, analysis, and reporting practices, and directs data governance, privacy, and security initiatives across Community Programs.
• Supports Medicaid claiming and billing operations by overseeing data management, reporting, and quality assurance processes.
• Serves as the technical liaison for system integrations with external data exchanges and oversees the creation and implementation of data-sharing agreements and MOUs.
• Represents Community Programs in Countywide data governance, oversight, and strategic planning committees, and promotes innovation through advanced analytic methodologies.

Required Qualifications

• Education: A Bachelor’s degree from an accredited institution in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology, or a related field.
• Experience Required: A minimum of five (5) years of experience in large-scale data integration, reporting, analytics, or IT business analysis, including at least two (2) years of supervising data science professionals.
• Requirements: Must possess a valid California Class C Driver License or demonstrate the ability to utilize alternative transportation when needed, and successfully clear the Live Scan process.
• Demonstrated expertise in advanced data and statistical modeling, proficiency in data analysis and visualization tools (e.g., SQL, Excel, Tableau, Power BI), and strong knowledge of statistical programming languages and big-data engineering solutions. Excellent analytical, problem-solving, leadership, and communication skills are essential.
• Experience working with cloud data platforms (such as MSFT Azure, AWS, Databricks, Snowflake, or Google BigQuery) and familiarity with data governance principles and best practices.

Preferred Qualifications

• Qualifications: A Master’s or Doctoral degree in a relevant field may substitute for up to two (2) years of experience.
• Qualifications: Certification in relevant analytics tools or methodologies is considered a plus, along with demonstrated experience in developing and implementing corporate analytics strategies.