Data Scientist (Remote - US)

This role offers the opportunity to lead the development of advanced machine learning and NLP systems that analyze complex clinical data to improve healthcare risk adjustment and ICD-10 coding accuracy.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field; Master’s preferred.
• 3+ years of experience in machine learning and AI, with a focus on NLP, classification, and predictive systems.
• Strong hands-on expertise in PyTorch and transformer architectures (BERT, RoBERTa, etc.) for text classification.
• Advanced Python programming skills and experience with NLP frameworks and libraries.
• Experience with clinical text processing, healthcare claims data, ICD-10 coding, and risk adjustment/HCC methodologies preferred.
• Proficiency in feature engineering, model evaluation, deployment, and monitoring in production environments.
• Understanding of data quality frameworks and error detection methods for clinical datasets.
• Strong analytical, problem-solving, and communication skills to explain technical concepts clearly.
• Experience with SQL and collaborative development tools, including version control systems.

Benefits

• Competitive salary based on experience and location.
• Comprehensive health coverage (medical, dental, vision).
• Paid time off, holidays, and flexible work arrangements.
• Professional development opportunities and access to cutting-edge AI/ML tools.
• Collaborative and supportive work environment with career growth potential.