Memorial Hermann Health System

Lead Data Scientist

Memorial Hermann Health System

full-time

Posted on:

Location Type: Office

Location: Texas • Texas • United States

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Job Level

Senior

About the role

  • 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
  • Provides findings and analysis for use in decision making
  • Develops custom data models and algorithms to apply to data sets
  • 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

  • Bachelor’s Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required
  • Master’s Degree in Data Science preferred
  • 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
  • Strong analytical skills and ability to understand and interpret results based on advanced statistical techniques
Benefits
  • Exceptional experiences for every member of our community
  • Professional growth and development opportunities
  • Commitment to caring for every member of our community
  • Adherence to all policies, procedures, and standards
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisstatistical methodsdata modelingmachine learning techniquesadvanced statistical techniquesprogramming skillsdata science project life cyclehypothesis testingdata insightsdata extraction
Soft Skills
leadershipcommunicationanalytical skillsproblem-solvingcross-functional collaborationcustomer engagementefficiency improvementproductivity enhancementscalability improvementclear communication
Certifications
Bachelor’s Degree in STEMMaster’s Degree in Data Science