
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $110k - $130k / year
⏰ Full Time
🟢 Junior
🧠 AI Research Scientist
🦅 H1B Visa Sponsor
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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.
• delivering solutions that help clients identify payment integrity issues, reduce healthcare costs, or improve quality of outcomes. • conducting independent model validation of existing models for benchmarking, assessment, and gauging effectiveness. • determining aspects of model drift and related data drift for the purpose of model risk management (MRM) to reduce risk and drive revenue growth. • applying deep expertise with AI/ML/GenAI model development, including hands-on with model building and evaluation. • driving improvements in model monitoring activities including methods for model registration, model metadata management, and conceptualizing related tools and techniques.
• Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI. • 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. • 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.
• 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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