Senior Generative AI Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $153k - $180k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

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Cotiviti

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

Healthcare Insurance • Fintech • Artificial Intelligence

Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.

📋 Description

• Delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes • Work as part of a team and be individually responsible for the delivery of value associated with your projects • Follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring • 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

🎯 Requirements

• 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 • 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 • Professional with ability to properly handle confidential information • Ability to work within a matrixed organization • Proficiency in all required skills and competencies above

🏖️ Benefits

• 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