Data Scientist - Healthcare Fraud Waste and Abuse - REMOTE - 254965

• Job Title: Data Scientist - Healthcare Fraud Waste and Abuse - REMOTE
• Position Type: Contract to Hire
• Position Level: Associate - seeking 3-5 years professional experience
• Compensation Range: $120,000 - $130,000 / year
• Work Location: FULLY REMOTE
• *Must live in the US. Must be able to work EST/CST hours

• ABOUT OUR CLIENT / ABOUT THIS ROLE
• Medix is currently seeking a Data Science Analyst for an exciting contract to hire job opportunity with one of our Healthcare Analytics Services clients. This is a 100% remote role that will start on a contract basis, and convert to a full-time employee within 6 months.

This Data Science Analyst will be joining a team focused on Healthcare Claims Fraud, Waste and Abuse (FWA). This individual will be developing and operating / optimizing predictive models for deep analysis on financial / revenue cycle data, with an emphasis towards identifying anomalies, and returning measurable cost-savings.

RESPONSIBILITIES

• Building and deploying predictive models to assess anomalies and patterns for fraud, waste, and abuse in Healthcare Claims / Financial Data.
• Developing and owning complex data products that can help automatically identify and prevent FWA.
• Conducting deep-dive analyses, heavy SQL coding, and predictive modeling to identify patterns in the data
• Working with Agentic AI tools to develop, implement, and maintain advanced operational workflows to integrate vendor solutions with client environments.
• Serving as a liaison and communicator to leadership (department heads). This will include meeting regularly with business leaders to help solution how to embed automatic data processes into every day revenue cycle workflows
• Visualizing data via dashboards and present complex findings to non-technical stakeholders and/or legal teams

REQUIRED SKILLS

• Required Bachelor of Science Degree
• Must have at least 2 years of Healthcare Domain experience - specifically within Revenue and Finance, Fraud, Waste, Abuse.
• Strong background in applied statistics, regression analysis, and clustering techniques.
• Advanced hands-on experience with Python and Python-based libraries (PySpark, Numpy, SciPy)
• Advanced hands-on experience with SQL

Please no 3rd Party / C2C Inquiries - this is a contract to hire a position that will convert to a full time employee within 6 months. Work visa sponsorship is not offered: talent must be permanently authorized to work for our client without the need for work-visa sponsorship now, or in the future.