[Remote] Senior Generative AI Scientist II

Note: The job is a remote job and is open to candidates in USA. Cotiviti is a healthcare technology company focused on delivering better care at lower costs through advanced technology and data analytics. The Sr Data Scientist - Generative AI II will work with healthcare professionals to develop solutions that address payment integrity issues and improve healthcare outcomes using machine learning and artificial intelligence techniques. 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 • Participate in other data science initiatives, collaborating with your peers to support their projects • Participate in knowledge sharing sessions to bring new insights and technologies to the team • 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 Skills • 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 • 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 • Professional with ability to properly handle confidential information • Ability to work within a matrixed organization • Proficiency in all required skills and competencies above • Passion for collaboration, learn it all mindset and driving value with 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 • Experience communicating technical concepts to non-technical and technical audiences is a plus • Flexibility to work with global teams as well geographically dispersed US based teams 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 Company Overview • Cotiviti enables healthcare organizations to deliver better care at lower cost through advanced technology and data analytics that improve the quality and sustainability of healthcare in the United States. It was founded in 1979, and is headquartered in South Jordan, UT, US, with a workforce of 5001-10000 employees. Its website is http://www.cotiviti.com. Company H1B Sponsorship • Cotiviti has a track record of offering H1B sponsorships, with 165 in 2025, 118 in 2024, 90 in 2023, 102 in 2022, 72 in 2021, 67 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job