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Job description
We are looking for an experienced Data Scientist to solve technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods. The role involves interacting with teams from Account Management to Application Engineering and R&D to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line.
Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior. Translates real-world Healthcare problems to mathematical frameworks.
An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.
Company
Healthcare • Tech, Software & IT Services
ZirMed, now integrated into Waystar, delivers comprehensive revenue cycle management solutions for healthcare organizations. Its technology suite includes healthcare e‑commerce, coding and compliance, clearinghouse services, analytics, financial services, IT support, and revenue cycle optimization, all designed to streamline payer reimbursement and patient billing processes. By unifying and simplifying the revenue cycle, ZirMed enables providers to increase collections, lower administrative costs, and improve overall financial health, allowing them to focus more on patient care and community goals.
