Under general supervision, develops and applies methods to identify, collect, process, organize, and analyze structured and unstructured data using statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers to support data-driven program design and management. This is the second working level in the professional data science/analysis series. Positions allocable to this class work under the general direction of a Data Science Supervisor or supervisor or manager responsible for the data analytics, research, or statistical function of a department, independently performing duties of considerable difficulty to complete moderately complex projects or major aspects of large/complex projects that may be divisional, departmental, or Countywide in scope. Incumbents deploy techniques such as data extraction, transformation, and loading; classical statistical analysis and machine learning, including predictive and prescriptive modeling and optimization; and data visualization, to generate critical information and knowledge and effectively communicate findings to technical and nontechnical stakeholders to support data-driven program design, management, and decision-making.