The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world problems to enable healthcare organizations to deliver better care at lower cost through advanced technology and data analytics, helping to ensure the quality and sustainability of how healthcare is delivered in the United States, specifically at Cotiviti.
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.
- 5+ 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.
- Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
- Proficiency in all required skills and competencies above.
- Experience communicating technical concepts to non-technical and technical audiences is a plus.
Responsibilities
- Work with key stakeholders within Research and Development as well as Business 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 ML Ops/Production operations to deploy your model into production and support them in monitoring model performance.
- 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.
Other
- Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
- Ability to work independently as well as collaborate as a team with a sense of urgency.
- 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.
- Communicating with others and teamwork.
