Data Scientist, Revenue Cycle

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with revenue cycle, finance, and operational leaders to facilitate data-driven decision-making across billing, coding, and collections.

• Examine extensive datasets from EHR, billing, claims, and financial systems to uncover revenue loss and optimization prospects.

• Create and implement predictive models aimed at enhancing denials management, cash collections, and reimbursement results.

• Design and execute pilot programs to evaluate and refine revenue cycle strategies in real-time settings.

• Develop dashboards and visual representations to track KPIs such as AR days, denial rates, and net revenue performance.

• Convert intricate data findings into actionable insights for both operational and executive stakeholders.

• Detect trends and patterns concerning payer performance, coding accuracy, and claim adjudication.

• Oversee analytics projects that bolster revenue cycle transformation and process enhancement initiatives.

• Work collaboratively across functions with IT and clinical teams to improve data quality and reporting capabilities.

⛳️ Requirements

• Master’s degree with no prior experience, or Bachelor’s degree with 3+ years of pertinent experience.

• Proficient in data analytics, statistical modeling, and machine learning methodologies.

• Skilled in at least one programming language, such as Python, R, Java, or C/C++.

• Extensive experience with SQL and relational databases (e.g., Snowflake).

• Familiarity with machine learning techniques (e.g., Random Forest, XGBoost, LightGBM) and deep learning approaches (e.g., CNN, RNN, LSTM).

• Proven ability to extract, analyze, and interpret data to formulate predictive models and influence financial results.

• Experience in crafting data visualizations and conveying insights to non-technical audiences.

• Strong analytical skills with the capability to manage complex, cross-departmental projects.

• Required knowledge of healthcare revenue cycle data, EHR systems (EPIC), claims, billing, and payer processes.

• Preferred experience with cloud platforms like AWS or Azure and contemporary data science tools.

🏝️ Benefits

• Comprehensive Benefits