Lead Data Scientist

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🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Memorial Hermann Health System

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

🧘 Wellness

💰 $5M Grant on 2022-08

Healthcare Insurance • Healthcare • Wellness

Memorial Hermann Health System is a comprehensive healthcare organization that provides a wide range of medical services, including cancer care, cardiovascular services, emergency and trauma care, women’s health, and surgical services. With the largest network of emergency centers in Greater Houston, it focuses on delivering advanced healthcare and wellness programs tailored to individual needs. Memorial Hermann is committed to advancing health equity and enhancing community health through its various medical facilities and services.

📋 Description

• 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. • Manages engagement with internal customers on small and medium sized projects. • Typically reports to the Manager of Data Science. • Develops custom data models and algorithms to apply to data sets. • Provides findings and analysis for use in decision making.

🎯 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. • 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. • Ability to communicate, gather requirements and execute storytelling with data. • Possesses 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. • Advanced understanding of SQL database management tools.

🏖️ Benefits

• Exceptional experiences for every member of our community. • Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency.