Job Title: Healthcare Revenue Data Scientist - Predictive Analytics - ONSITE
Work Location: Onsite - Upper East Side Manhattan 
Hybrid Schedule: 3-4 days onsite / week
Compensation Range: $145,000 - $170,000 DOE 
Benefits: Medical, Dental,Vision, Life, 403b Retirement, PTO, Holidays, Education Credit
Required Industry: Healthcare

ABOUT OUR CLIENT / ABOUT THIS ROLE
Medix is currently seeking a Data Science Analyst for an exciting full-time opportunity with one of our Health System clients, headquartered in New York’s Upper East Side.  This individual will be developing and operating / optimizing predictive models for deep analysis on the Health Systems’ financial / revenue cycle data, with an emphasis towards commercialization and cost-savings.

RESPONSIBILITIES

• Building and deploying predictive models to assess anomalies and patterns in the Charge Capture process 
• Developing and owning complex data products that can help automatically drive monthly financial close processes
• Conducting deep-dive analyses, heavy SQL coding, and predictive modeling to identify patterns in the data
• Partnering closely with the Operational Revenue Cycle team and Patient Financial Services to identify revenue leakage, audit aged Accounts Receivables, and track payer accountability.
• Building complex data models to assist leaders negotiating commercial insurance contracts and evaluate partner compliance.
• Working in a team, in partnership with several AI vendors, to develop, implement, and maintain advanced operational workflows to integrate vendor solutions.
• 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

REQUIRED SKILLS

• Must be local to the NYC Metro area, and willing to work onsite at least 3 days /week
• Required Bachelor of Science Degree with 5-7+ years professional experience
• Preferred Master of Science in Math, Statistics, or Computer Science 
• Must have at least 3 years of recent Healthcare Industry experience - Healthcare Revenue & Finance is highly preferred
• Expertise in Predictive Analytics 
• Advanced hands-on experience with SQL 
• Advanced hands-on experience with Python and Python-based libraries (PySpark, Numpy, SciPy)

No C2C Inquiries - this is a full time /permanent position.  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.  

^*We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance (FCIHO), Los Angeles Fair Chance Ordinance for Employers (ULAC), The San Francisco Fair Chance Ordinance (FCO), and the California Fair Chance Act (CFCA).

^*This position is subject to a background check based on its job duties, which may include patient care, working with vulnerable populations, access to financial and confidential information, driving, working with heavy machinery, or working in a warehouse or laboratory environment. Due to these job duties, this position has a significant impact on the business operations and reputation, as well as the safety and well-being of individuals who may be cared for as part of the job position or who may interact with staff or clients.