About this 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
Manages engagement with internal customers on small and medium sized projects

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 a 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
Deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
Strong problem solving, analytical reasoning and decision-making skills

Lead Data Scientist

Key skills