Data Scientist Supervisor
About The Position
The Data & Analytics Unit collects, analyzes, and interprets healthcare data to support decision-making across the Los Angeles County Department of Health Services. It manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery, while ensuring data integrity, security, and regulatory compliance. The Data Scientist Supervisor leads a team of data scientists and oversees advanced analytical projects, machine learning initiatives, and data-driven strategies. The role manages the development and implementation of predictive models, optimizes data workflows, and ensures analytical solutions align with organizational objectives. It provides technical leadership, mentors team members, and fosters collaboration to drive innovation and efficiency in data science operations.
Requirements
- Master’s degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- At least 6 years of experience in data science, including at least 2 years in a leadership role.
- Extensive hands-on experience in machine learning, AI, and predictive modeling.
- Proven experience leading and mentoring data science teams.
- Successful clearing through the County of Los Angeles Live Scan process.
- Advanced programming skills in Python, R, and SQL for model development and data processing.
- Expertise in cloud computing (AWS, Azure, or GCP) and big data technologies.
- Strong experience with data visualization tools such as Tableau and Power BI.
- Deep knowledge of data engineering concepts, ETL processes, and model deployment.
- Ability to lead data science projects from ideation through implementation.
- Excellent communication skills for presenting complex insights to technical and non-technical audiences.
- Experience mentoring junior data scientists and fostering a data-driven culture.
- Strong understanding of agile methodologies and project management principles.
- Commitment to innovation and staying current with industry trends.
Responsibilities
- Lead, coach, and mentor data scientists, supporting continuous learning and professional growth.
- Manage and oversee development of machine learning models and analytical solutions to meet business needs.
- Apply advanced statistical methods, machine learning algorithms, and data mining techniques to analyze large, varied datasets and identify actionable trends and patterns.
- Fine-tune and optimize models to ensure scalability, efficiency, and alignment with business requirements.
- Guide junior data scientists in model development, statistical analysis, and data science practices.
- Collaborate with engineering teams to ensure data pipelines are scalable, efficient, and accurate.
- Establish and enforce best practices for data science methodologies, model validation, and documentation.
- Lead development of predictive, prescriptive, and diagnostic models for complex business problems and decision-making.
- Design, train, and optimize machine learning models for forecasting, anomaly detection, and automation.
- Create and deliver clear, actionable reports and dashboards for technical and non-technical stakeholders.
- Use advanced visualization techniques to communicate analytical results to leadership and business teams.
- Develop and implement metrics and KPIs to measure data science initiatives and model performance.
- Work with business leaders and stakeholders to define data-driven strategies and deliver actionable insights.
- Translate technical concepts into business insights and recommendations for non-technical audiences.
- Partner with IT, engineering, and business teams to integrate data science solutions into operational processes.
- Monitor emerging data science techniques, industry trends, and technologies to drive innovation and maintain strong practices.
- Lead research initiatives exploring new approaches to data analysis, modeling, and automation.
- Continuously improve organizational data science workflows, techniques, methodologies, tools, and technologies.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
