Responsible for department data analytics, collecting large amounts of data, interpreting data, aiding in departmental data issues, and other data-driven initiatives for the department.
Meets with team members regarding projects
Collects and interprets data and aid in all department data needs
Automates and integrates processes
Develops processes for formulation of data-driven solutions for improvements
Develops complex models that integrate business rules and requirements
Creates machine learning models
Communicates and meets with teams and interested parties
Shares complex ideas verbally and visually in an understandable manner with non-technical stakeholders
Performs other duties as needed to successfully fulfill the functions of the position.
Bachelor's degree in related field
48 months experience in Data Science, Predictive, or Advanced Analytics or related experience
Will accept 48 months of experience in lieu of the Bachelor's degree for a total of 96 months of related experience
Ability to use data visualization tools
Advanced knowledge of data querying languages, and statistical or mathematical software
Advanced knowledge in writing algorithms, and knowing when to apply them
Ability to understand statistics, multi-variable calculus, and linear algebra
Ability to communicate verbally and in writing
Ability to lead other employees
Experience with data visualization tools (Tableau, Power BI, etc.)
Knowledge of machine learning or predictive modeling techniques in a healthcare context
Familiarity with quality improvement methodologies (e.g., Six Sigma, Lean)
Prior experience supporting grant-funded clinical research or academic medical centers
Master of Science degree in Data Science, Biostatistics, Epidemiology, Health Informatics, or other related field