Lead Data Scientist

Memorial Hermann Health System

Leads the analysis of complex data sets and provides insights for decision making at Memorial Hermann. Collaborates with teams to enhance data processes and improve business operations.

Posted 6/19/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisstatistical methodsdata modelingmachine learningclusteringdecision tree learningartificial neural networksadvanced statistical techniquesSQLdata science project life cycle

Soft Skills

leadershipcommunicationrequirement gatheringstorytelling with dataanalytical skills