Data Scientist Supervisor

County of Los Angeles•Los Angeles, CA

2d•Onsite

About The Position

This position is for a Data Scientist Supervisor in Los Angeles County. The role involves planning, organizing, supervising, managing, and evaluating highly technical and complex assignments related to data science. The supervisor will lead a team in developing and implementing data science projects, ensuring objectives are met and critical decisions are made promptly. Collaboration with IT and program managers is key to identifying business needs and implementing data solutions. The role also involves defining the overall vision and strategy for data analytics, developing and evaluating divisional initiatives through big data deployment, and overseeing the solution development process, including quality assurance, data analysis, model creation, testing, deployment, and presentation of findings. The supervisor will direct the creation of technical reports and visualizations, work with IT to maintain large-scale databases, and advise managers on data science capabilities and infrastructure. Building solutions using machine learning to solve business problems and inform strategy is a core function. The role also includes mentoring staff, ensuring ongoing training and professional development, and contributing to the data science community. The supervisor will serve as a technical resource for managers on data-driven program design and translating data science knowledge into improved business outcomes.

Requirements

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.
A valid California Class C Driver License or the ability to utilize alternative method of transportation when needed to carry out job-related essential functions.
Must fully meet required education and experience at the time of filing and clearly indicate it on the application.
Must provide a clear explanation of experience to demonstrate that it is at the appropriate level, even if the job title is not exactly the same as listed.

Nice To Haves

Experience applying data science methods within healthcare-related projects, including work with HIPAA-covered protected health information.

Responsibilities

Plans, organizes, supervises, manages, and evaluates highly technical and complex assignments of the section.
Develops, implements, and monitors data science projects from inception to implementation.
Plans, assigns, and reviews the work of data scientists and analysts.
Ensures section products and services perform as desired and directs updates and modifications.
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.
Defines the overall vision and strategy for data analytics across the organization in conjunction with the governance board and executive committees.
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.
Evaluates, manages, and participates in all aspects of the section’s solution development, including quality assurance and maintenance of data sets, exploratory data analysis, model creation, testing, and deployment, presentation of findings, and consultation with program managers.
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.
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.
Stays current with and contributes to discovery of data science best practices.
Mentors staff and ensures the section maintains ongoing training and professional development.
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.