Data Scientist, Revenue Cycle

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

📋 Description

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

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

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

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

• Develop dashboards and visual representations to track key performance indicators such as accounts receivable days, denial rates, and net revenue performance.

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

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

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

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

⛳️ Requirements

• A Master’s degree with no prior experience, or a Bachelor’s degree with at least 3 years of relevant experience.

• Familiarity with data analytics, statistical modeling, and machine learning methodologies.

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

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

• Knowledge of machine learning techniques (e.g., Random Forest, XGBoost, LightGBM) and deep learning methods (e.g., CNN, RNN, LSTM).

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

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

• Strong problem-solving abilities with a track record of managing complex, cross-functional projects.

• Required familiarity with healthcare revenue cycle data, EHR systems (EPIC), claims, billing, and payer workflows.

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

🏝️ Benefits

• Comprehensive Benefits