Data Scientist, Intermediate

at  UVA Health

Collaborate with assigned departments to provide actionable data-driven insights through research and analysis of data sources and development of statistical mathematical and predictive models. Support departments to make informed data-driven decisions to meet quality and business objectives. Understand all phases of the analytic process including data collection preparation modeling evaluation and deployment. Explore and examine data from multiple disparate sources in order to identify provide reporting on and analyze trends in the data as well as regular reporting for assigned departments. Establish links across existing data sources and find new interesting data correlations. Develop statistical mathematical and predictive models using strategic business understanding to build the algorithms necessary to ask the right questions and find the right answers. Stay appraised of all assigned initiatives providing reporting and analytics that will allow the group to make informed data-driven decisions to meet business objectives. Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the stakeholders. Under general supervision formulates and defines analytic scope and objectives through research and fact-finding. Is able to answer defined questions about health system functions/operations/populations using appropriate statistical techniques on available data. Drives the collection of new data and the refinement of existing data for new purposes. Analyze and interpret the results of experiments to create cost effective and process-efficient alternatives enhancements or modification. Competent to work on most phases of data analysis and associated programming activities.
Understands all phases of the data science process including opportunity analysis, intervention design, intervention implementation and evaluation. The data science process is supported by data collection, preparation, modeling, evaluation, and deployment.
Under general supervision, formulates and defines analytic scope and objectives through research and fact-finding.
Competent to work on most phases of data analysis and associated programming activities. Position Compensation Range: $89,523.20 - $143,228.80 Annual

MINIMUM REQUIREMENTS

Education: Master’s Degree required.
Experience: 3-5 years relevant experience.
Licensure: None required

Please refer the Job description for details