Delivering high quality, efficient care while creating exceptional experiences for every member of the community at Memorial Hermann
Requirements
- Demonstrated experience performing multiple projects using a programming language like Python and libraries (numpy, sciPy, etc.)
- Professional experience in a hospital setting, with medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management
- Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.)
- Technical expertise, mathematical skills and good understanding of design and architecture principles
- Demonstrated knowledge of the Extract, Transform, and Load (ETL) process, SQL databases, and handling large data sets
- Demonstrates knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Knowledgeable of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
Responsibilities
- 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
- Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams
- 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
Other
- Bachelor’s Degree in science, engineering, computer science, mathematics, statistics or related STEM field required
- Four (4) years of experience in data science is required
- Strong written and verbal communication skills in IT and business environments
- Ability to work under minimal supervision in a fast-paced multidisciplinary environment
- Exhibits customer service skills in the form of first-rate work products and project management
