Delivering high quality, efficient care while creating exceptional experiences for every member of the community at Memorial Hermann
Requirements
- 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
- Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- Advanced level knowledge of the data science project life cycle
- Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools
Responsibilities
- Leads the analysis of complex and unstructured data sets using advanced statistical methods for use in data driven decision making
- 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 in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools
- 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
Other
- Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required
- Master’s Degree in Data Science preferred
- 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
- Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences
