Generative AI Scientist

life insurance, paid time off, paid holidays, 401(k)

United States

Mar 07, 2026

Staff Generative AI Scientist

Job Location s: US-Remote

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Category:
Engineering/IT

Position Type:
Full-Time

The Staff Gen AI Scientist will apply knowledge and experience to real world problems and seek to improve health quality outcomes and reduce the cost of healthcare. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time.

A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on direct impact to business outcomes.

Please note:

We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a general guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.

• Work with key stakeholders within Research and Development as well as Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.
• Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.
• Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.
• Prepare your final trained model and develop a validation test set for QA.
• Work with production operations to deploy your model into production and support them in monitoring model performance.
• Participate in other data science teams collaborating with your peers to support their projects.
• Participate in knowledge sharing sessions to bring new insights and technologies to the team.
• Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
• Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

• Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
• Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as Hugging Face, Langchain, Llama/Mistral and OpenAI, vector databases.
• 7+ years of hands‑on data science/AI experience, using typical machine learning and data science tools including pandas, scikit‑learn, keras, nltk, and Tensor Flow/PyTorch, GPU's.
• Experience building production‑grade machine learning deployments on AWS, Azure, or GCP.
• Experience working with Apache Spark and large‑scale distributed datasets.
• Experience communicating technical concepts to non‑technical and technical audiences is a plus.
• Passion for collaboration, learn‑it‑all mindset and driving value with AI.

• Ability to work independently as well as collaborate as a…