Data Scientist, Revenue Cycle

📋 Description

• Query, process, and analyze large, complex datasets from electronic health records (EHRs), billing
• Develop, validate, and deploy predictive models that enhance denial management, improve cash
• Partner with revenue cycle, finance, and operational leaders to support data-informed
• Design and maintain dashboards, reports, and data visualizations to monitor key performance
• Design and implement pilot programs and analytical experiments to evaluate revenue cycle
• Identify trends and patterns in payer performance, coding accuracy, claim adjudication

🎯 Requirements

• A master's degree with at least some relevant experience, including entry-level candidates, or a
• Demonstrated knowledge of data analytics, statistical modeling, predictive analytics, and machine
• Experience with at least one programming language, such as Python, R, Java, or C/C++, for data
• Strong SQL skills and experience working with relational databases, including platforms such as
• Experience developing dashboards, reports, and visualizations using tools such as Tableau, with the
• Familiarity with machine learning algorithms and frameworks, including Random Forest, XGBoost, and

🎁 Benefits

• Published hourly pay range of approximately $53.29 to $85.26, depending on professional experience
• Nationwide remote position within the United States.
• Access to a comprehensive employee benefits package, with specific coverage and eligibility
• The opportunity to apply data science and predictive analytics to improve healthcare financial
• Opportunities to work with large-scale healthcare datasets, machine learning methodologies, modern
• Work closely with revenue cycle, finance, clinical, and technology professionals to develop and