Lead Data Scientist

Memorial Hermann Health System

Lead Data Scientist at Memorial Hermann focusing on analyzing complex data to drive decision making and improve operations. Requires extensive expertise in data science and healthcare analytics.

Posted 5/13/2026full-timeHome Office • 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 to collect, explore, and extract insights from structured and unstructured data
Manages engagement with internal customers on small and medium sized projects
Typically reports to the Manager of Data Science
Leads high priority projects that impact the organization
Provides technical supervision/mentoring to other data scientists and trains the broader audience on data science developments
Provides leadership, coaching, and/or mentoring to subordinate group
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
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
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

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
Demonstrates proficiency in problem solving, analytical reasoning and decision-making skills
Advanced understanding of SQL database management tools
Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques
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

Benefits

Comp & perks

Health insurance
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisstatistical methodsdata modelingpredictive modelingdata miningmachine learningadvanced statistical techniquesSQLalgorithm developmentdata visualization

Soft Skills

leadershipcoachingmentoringproblem solvinganalytical reasoningdecision-makingcommunicationstorytelling with datacollaborationclient management