Data Scientist

Cotiviti

75d • $110,000 - $140,000

About The Position

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. The position includes working on MLOps and MCP initiatives and will be a key contributor to the Edifecs Business Unit AI innovation project, driving cutting-edge AI solutions across the healthcare technology portfolio.

Requirements

• 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
• Proficiency in Model Context Protocol design and implementation for enterprise LLM governance
• Experience with MLOps tools and frameworks (MLflow, Kubeflow, Weights & Biases) and LLM deployment platforms
• 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

Nice To Haves

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

Responsibilities

• 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
• Design and implement Model Context Protocol (MCP) for LLM governance, including model registry, deployment orchestration, and performance tracking systems
• Implement comprehensive MLOps frameworks including CI/CD pipelines for model deployment, A/B testing infrastructure, and production model monitoring
• 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
• Complete all special projects and other duties as assigned
• Must be able to perform duties with or without reasonable accommodation.

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, depending on specific level and length of service with Cotiviti

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees