At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. Leads the analysis of complex and unstructured data sets using advanced statistical methods for use in data driven decision making. Responsible for leading cross-functional teams and providing in-depth data insights for complex business problems approached with advanced analytic techniques to collect, explore, and extract insights from structured and unstructured data.
Requirements
- Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required.
- Seven (7) years of experience in data science is required.
- Professional experience in hospital setting, medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred.
- Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required.
- Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
- Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques
- Advanced knowledge of data science methods – time series forecasting, linear regression, A/B testing, statistical testing, Clustering, etc.
- Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
- Ability to work under minimal supervision in a fast-paced multidisciplinary environment
- Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
- Strong ability to manage challenging client situations
- Strong ability to troubleshoot and recommend solutions
- Strong ability to translate complex information for a wide range of stakeholders
- Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments
- Develops custom data models and algorithms to apply to data sets
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Provides findings and analysis for use in decision making
- Performs research, analysis, and modeling on organizational data
- Maintains existing models and evaluates their goodness of fit
- Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes
- Assists with the evaluation of data science vendors and tools
- Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service
Benefits
- Retirement Plan
- Tuition Reimbursement
