Data Scientist

Skills

Acting as the company-wide data science lead program managing multiple critical data and AI initiatives and directing the future of data science within the organization Coordinating multiple parties to launch data and AI initiatives Key stakeholders include the internal technology organization business operators and P&L owners and third-party development partners Monitoring managing and optimizing program performance and impact – assessing changes in patient interactions staff performance and healthcare provider client account performance and designing and recommending program changes as required Clearly communicating program performance and impact to business finance and board audiences This role is currently an individual contributor position with an expectation of team growth in 2024. We expected that job duties will be split between: Program and stakeholder (internal and external) management Requirements gathering and translation into program design and enhancement Hands-on-keyboard programming modelling and data analysis

Description

Elevate Patient Financial Solutions serves hospital and health system clients’ revenue cycle management needs by helping patients connect with potential coverage and resolving complex claims. In order to improve outcomes for our healthcare clients, Elevate is implementing a full data and AI program to increase the reach of its services, driving business growth through the application of modern data science methods. Elevate seeks a Data Science Leader to lead the charge on a ready-to-launch program of data and AI initiatives and build the data science roadmap for the organization.

Responsibilities

• To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities.
• · 8+ years of experience in a hands-on data science role
• · Clear familiarity and comfort with fundamental data science principles (model creation, training, evaluation, ML ops, and internal communication)
• · Demonstration of previous close coordination with DBA and dev ops staff is ideal
• · Programming experience with some variety of data science, data management, and data visualization tools; for example, R, Python, SQL, SAS, PowerBI
• · Familiarity with data warehouses, data architecture, and data operations principles
• · Demonstrated experience in managing a data science initiative/program/function within an organization, including accountability to a program outcome, managing internal and external stakeholders (up to C-suite/executive level), and vendor management
• · Experience with Azure DevOps or similar application lifecycle management tools is an asset
• Demonstrated ability to perform above listed essential job functions.