Data Scientist Supervisor

Position Overview

Compensation: $9,852.82 - $13,278.10 Monthly. 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. This role serves as the primary technical resource, delivering reporting and evaluation to support data‐driven decision‐making and improved operational efficiency. The position is hybrid-based and located in downtown Los Angeles.

Key Responsibilities

• Plan, organize, supervise, and evaluate complex data analytics, business intelligence, and IT integration operations across Community Programs.
• Develop, implement, and monitor large-scale data science and reporting projects from inception to deployment.
• Supervise and mentor a diverse team of analysts and data scientists, supporting training and promoting professional development.
• Advise program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve efficiency and decision-making.
• Direct the design, development, and maintenance of complex data systems, ensuring interoperability across health, housing, and justice programs.
• Collaborate with county departments to enhance IT systems, data pipelines, and analytic tools for improved service delivery.
• Oversee the design and production of dashboards, performance reports, and analytics tools for a variety of stakeholders.
• Standardize data collection, analysis, and reporting practices across programs and providers.
• Manage data governance, privacy, and security initiatives to ensure compliance with DHS, County, and State requirements.
• Support Medicaid claiming and billing operations through effective data management and quality assurance.
• Serve as the technical liaison for system integrations with external data exchanges and health information platforms.
• Represent Community Programs in countywide data governance and strategic planning committees.
• Promote innovation in data science through advanced analytic methodologies including machine learning and predictive modeling.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Public Health, Epidemiology or a related field, along with at least five years of experience in large-scale data integration, reporting, analytics, or IT business analysis.
• Minimum of two years of supervisory experience managing a team of data science professionals.
• Must possess a valid California Class C Driver License or demonstrate the ability to use an alternative transportation method, and successfully clear the Live Scan process.
• Proven leadership, analytical, and problem-solving skills with expertise in advanced data modeling, statistical analysis, and business intelligence.

Preferred Qualifications

• Master’s or Doctoral degree in a relevant field is preferred.
• Proficiency in programming languages such as Python or R, and certifications in relevant analytics tools are a plus.
• Experience with cloud data platforms (e.g., MSFT Azure, AWS, Databricks, Snowflake, Google BigQuery) and data visualization tools like SQL, Excel, Tableau, or Power BI.