Role overview
Overview:
Join a recently formed team focused on Model Risk and Responsible AI. The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and seek to utilize their skills to reduce the cost of healthcare and improve health quality and outcomes. As a Data Scientist on this team, you will focus on three main project areas: Model Validation, Model Metrics and Monitoring, and Responsible AI. This requires someone with depth in AI/ML/GenAI from a data science perspective, versatility to think in terms of technology systems, and some understanding of emerging areas of Responsible AI and AI Ethics. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.
What we're looking for
- Flexibility to work with global teams as well geographically dispersed US based teams.
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands and/or fingers.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- Must be able to provide a dedicated, secure work area.
Base compensation ranges from $110,000 to $130,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting:
Applications are assessed on a rolling basis. We anticipate that the application window will close on 02/X/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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