Generative AI Scientist at Cotiviti in Remote

Summary: Cotiviti is focused on reducing healthcare costs and improving health outcomes through innovative data solutions. The Gen AI Data Scientist will leverage their expertise in AI and machine learning to deliver solutions that address payment integrity issues and enhance healthcare quality. Responsibilities: - 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 Required Qualifications: - 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 HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases - 1+ 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 - 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 - Ability to work within a matrixed organization - Proficiency in all required skills and competencies above - Communicating with others and teamwork - Assessing the accuracy, neatness, and thoroughness of the work assigned - 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 Preferred Qualifications: - 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 Required Skills: Machine Learning, Artificial Intelligence, Natural Language Processing, Transformers, Fine-tuning Large Language Models, HuggingFace, Langchain, LLAMA, Mistral, OpenAI, Vector Databases, Pandas, Scikit-learn, Keras, NLTK, TensorFlow, PyTorch, GPU Computing, Machine Learning Deployment, AWS, Azure, Google Cloud Platform, Apache Spark, Distributed Data Processing Benefits: Medical, Dental, Vision, Disability, Life insurance coverage, 401(k) savings plans, Paid family leave, 9 paid holidays per year, 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti