Quality Data Scientist

Newport News, Virginia
Overview
The Quality Data Scientist utilizes data to help identify strategies to continually improve quality, patient safety and patient experience. The leader will combine computer science, modeling, statistics, analytics and math skills, along with business knowledge, to identify patterns, trends and issues. Transform data for key stakeholders using data visualization tools and methods and risk adjustment models to share insight and help organize data in order to make objective decisions and help solve complex problems
What you will do

• Work with Quality leaders and senior level leaders to develop effective and efficient methods for data visualization and distribution of dashboards and reports that are accurate, timely and meaningful on a regular distribution schedule, in addition to ad hoc reports and small, medium and large scale projects as assigned to improve, quality, patient safety and patient experience. Provide clear, concise, and engaging updates, education and consultation to providers, executives, and oversight committees outlining important trends, gaps, and other relevant insights on key performance indicators.
• Mine, consolidate, and analyze data from disparate sources to drive clinical optimization and improvements in quality, patient safety and patient experience. Demonstrates adeptness in designing, building, and querying relational databases using the latest technology and methods. Expertise in ETL (Extract-Transform-Load) techniques, SQL (Structured Query Language) and SSRS (SQL Server Reporting Services) or equivalent skill set.
• Design and develop data visualizations that allow executive leaders, quality department leaders, clinicians and managers to better manage quality, safety and patient experience outcomes. Collaborates with others throughout the system on assigned small, medium and large scale projects to produce interactive tools that drive improved decision making based on all available data sets.
• Works collaboratively with the Director of Quality Data and Analytics to collect, store, and organize relevant internal and external data into a functioning data warehouse, complete with proper documentation of data definitions, sources, and use. The Director of Quality Data and Analytics works closely with Information Systems, Business Intelligence, and other internal experts to optimize data storage and management for access and reporting.
• Is aware of and uses quality improvement and change management methods and tools in supporting and working with teams and work groups to achieve desired outcomes.
• Is aware of and uses quality improvement and change management methods and tools in supporting and working with teams and work groups to achieve desired outcomes. Provides real time education when working with leaders, clinical and non-clinical staff on small, medium and large scale projects across the health system.

Qualifications
Education

• Masters Degree, Computer Science, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Physics or related field (Required)
• Doctoral Degree, Computer Science, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Physics or related field (Preferred)

Experience

• 7-10 years Professional experience in data science and demonstrated proficiency with data mining and mathematics/statistical analysis (Required)
• Advance pattern recognition and predictive modeling experience (Required)
• Experience utilizing visualization tools to take advantage of the growing volume of available data from disparate sources (Required)

Skills and Abilities

• Ability to provide real time education, consultation and support to physicians to help them understand key performance indicators or quality, safety and patient experience.
• Ability to provide clear, concise and engaging updates to health system executives, providers and oversight committees outlining important trends, gaps, and other relevant insights.
• Proficiency with Excel, PowerPoint, Tableau and/or Power BI, and SQL required.
• Skilled at analyzing data for trends and patterns, interpreting data and clearly communicating key findings.
• Proficiency with SAS required. Additional experience and proficiency in programming languages such as Java, C++, Python, R, etc.

To learn more about being a team member with Riverside Health System visit us at https://www.riversideonline.com/careers.