Cotiviti is looking to leverage Generative AI to reduce the cost of healthcare and improve health quality and outcomes by identifying payment integrity issues and optimizing healthcare processes.
Requirements
- Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases.
- 9+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Experience working with Apache Spark™ and large-scale distributed datasets.
- PhD or Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
- Good to have publication record in journals/conferences and/or history of innovation.
Responsibilities
- Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.
- 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.
- Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
- 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.
- Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.
- Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
Other
- Ability to work independently as well as collaborate as a team with a sense of urgency.
- Professional with ability to properly handle confidential information.
- Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
- Ability to handle multiple tasks, prioritize and meet deadlines.
- Flexibility to work with global teams as well geographically dispersed US based teams.
