Remote Data Scientist, Revenue Cycle & Predictive Analytics

City of Hope; United States; Remote; USD 80,000 - 110,000; Full time

Job summary

City of Hope is seeking a Data Scientist, Revenue Cycle to support revenue cycle optimization in a remote environment. The role involves analyzing large datasets and developing predictive models while collaborating with cross-functional teams to enhance financial performance and patient experience.

The ideal candidate will possess a Master's or Bachelor's degree with relevant experience and have proficiency in data analytics, statistical modeling, and programming languages such as Python and SQL.

Qualifications

• Master's or Bachelor's degree with relevant experience preferred.
• Proficient in programming languages such as Python, R, Java, or C/C++.
• Experience with SQL and relational databases essential.

Responsibilities

• Analyze datasets to identify revenue leakage and optimization opportunities.
• Develop predictive models to improve cash collections and reimbursement outcomes.
• Build dashboards to monitor performance indicators and translate data findings into insights.

Skills

Data analytics

Statistical modeling

Machine learning techniques

Python

R

Java

SQL

Education

Master's degree with 0+ years of experience

Bachelor's degree with 3+ years of relevant experience

Tools

AWS

Azure

Job description

City of Hope is seeking a Data Scientist, Revenue Cycle to support revenue cycle optimization in a remote environment. The role involves analyzing large datasets and developing predictive models while collaborating with cross-functional teams to enhance financial performance and patient experience.

The ideal candidate will possess a Master's or Bachelor's degree with relevant experience and have proficiency in data analytics, statistical modeling, and programming languages such as Python and SQL.