Cotiviti is seeking a Data Scientist to lead the development of advanced classification and predictive systems for healthcare risk adjustment and ICD-10 code classification. This role will focus on building intelligent NLP systems that analyze clinical charts and encounters to accurately identify and classify ICD-10 codes through sophisticated pattern recognition, machine learning, and natural language processing techniques.

• Lead development of NLP-based classification systems for ICD-10 code identification from clinical charts and encounters

• Design and implement deep learning models using PyTorch and transformer architectures for medical text analysis

• Build and optimize machine learning models for accurate risk adjustment coding and HCC classification

• Develop decision support systems for automated ICD-10 code suggestion and validation

• Create and maintain feature engineering pipelines for clinical text processing and model training

• Implement model evaluation metrics and performance optimization strategies for healthcare coding accuracy • Produce comprehensive technical documentation and training materials for NLP models

• Conduct system health checks and performance monitoring for deployed coding models

• Collaborate with engineering teams to integrate ML/NLP solutions into production systems

• Provide technical guidance on statistical modeling, transformer architectures, and algorithm selection

• Support data pipeline design and implementation for clinical text analytical workflows

• Participate in code reviews and maintain high standards for code quality

• Experience with distributed computing frameworks and big data technologies for processing large volumes of clinical data

• Mentor junior scientists and analysts in machine learning, NLP, and artificial intelligence best practices

• Track record of using assistive AI technology to improve quality and efficiency of modeling and analytics

• Complete all responsibilities as outlined in the annual performance review and/or goal setting. Required

• Complete all special projects and other duties as assigned. Required

• Must be able to perform duties with or without reasonable accommodation. Required

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field; Master's in Data Science or related field preferred

• 3+ years of experience in machine learning and AI with focus on NLP, classification, and predictive systems

• Strong expertise in PyTorch and transformer architectures (BERT, RoBERTa, etc.) for text classification

• Advanced Python programming skills with experience in NLP frameworks and libraries

• Experience with healthcare claims data, clinical text processing, and ICD-10 coding systems preferred

• Knowledge of risk adjustment methodologies and HCC (Hierarchical Condition Categories) coding

• Experience with feature engineering techniques for clinical text and model evaluation methodologies

• Experience with model deployment and monitoring in production environments

• Understanding of data quality frameworks and error detection methodologies for healthcare coding

• Strong analytical and problem-solving skills with focus on clinical data challenges

• Excellent communication skills with ability to explain technical NLP concepts clearly

• Experience with version control systems and collaborative development practices

• Expertise with SQL and data manipulation tools for healthcare datasets.