The Data Scientist supports administrative and clinical leaders and teams focused on achieving the Quadruple Aim at University Hospitals (UH)
Requirements
- Working knowledge of data integration, data mining, statistical model development, advanced analytic methods, report/dashboard visualization
- Experience with Alteryx and SQL environments (on premise and Microsoft Azure)
- Familiarity with electronic health record data, insurance claims data, scheduling and financial data, social determinants of health data
- Knowledge of data science technologies and tools
- Experience with statistical models and advanced analytics
- Familiarity with data visualization tools and techniques
- Experience with data mart development and maintenance
Responsibilities
- Lead the discovery and requirements gathering process with key clinical and business stakeholders to inform analytic plans
- Collaboratively co-create the discovery, design, development, deployment, optimization, and maintenance of advanced analytics and data science techniques to enrich disparate datasets to craft data-driven interventions aimed at achieving the Quadruple Aim
- Research, design, develop and implement statistical models, and advanced analytics to support key strategic initiatives
- Develop and deploy innovative analytic solutions for simplistic Analytics-As-A-Service Business Intelligence dashboards, rapid-fire flash reports directly to clinical and operational colleagues and/or other customized reporting distribution solutions
- Visualize data in creative ways that brings data and insights to life and is consumable in the business and operational workflow of end-users
- Creatively utilize diverse data sources, such as electronic health record data, insurance claims data, scheduling and financial data, social determinants of health data and any other relevant sources that help support UH Clinical Transformation and System Operations Strategy
- Develop purpose-driven data marts in Alteryx and SQL environments (on premise and Microsoft Azure)
Other
- Bachelor's Degree Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related Quantitative or Social Science discipline (Required)
- 3+ years Working with complex analytic situations or big data environments (Required)
- Ability to collaborate with IT to support data architecture of diverse datasets
- Ability to engage, mentor, co-create, cross-train, and learn from data science and analytical colleagues
- Ability to maintain fluency in existing and emerging data science technologies
