Staff Generative AI Scientist

Cotiviti-posted 2 months ago

$165,000 - $190,000/Yr

Full-time • Senior

5,001-10,000 employees

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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 their direct impact to business outcomes.

Deliver solutions that help clients improve the quality of healthcare outcomes, reduce the cost of healthcare processes, and/or identify payment integrity issues.
Work as part of a team and be individually responsible for the delivery of value associated with projects.
Follow processes and practices that allow models to be incorporated into the machine learning platform for production execution and monitoring.
Develop an exploratory data analysis approach to verify initial hypotheses associated with potential AI/ML use cases.
Document approach, thinking, and results in standard formats for collaboration.
Prepare final trained model and develop a validation test set for QA.
Work with production operations to deploy models into production and support monitoring of model performance.
Participate in knowledge sharing sessions and design sessions to 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.

Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
7+ 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's.
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.
Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
Experience working with Apache Spark™ and large-scale distributed datasets.
Ability to communicate technical concepts to non-technical and technical audiences.

Passion for collaboration and a learn-it-all mindset.
Ability to work independently as well as collaborate as a team with a sense of urgency.
Professionalism in handling confidential information.
Ability to handle multiple tasks, prioritize and meet deadlines.
Ability to work within a matrixed organization.

Medical, dental, vision, disability, and 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.

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