Healthcare Statistical Data Scientist

Seeking a Machine Learning Data Scientist with expertise in healthcare claims data to develop analytics and machine learning models that improve healthcare cost efficiency, quality, and operational performance. Collaborate with cross-functional teams to transform complex datasets into actionable insights.

Location: United States

Salary: $130k–$180k

Responsibilities

• Develop, train, and deploy ML models for claims cost prediction, utilization forecasting, fraud detection, risk adjustment, and provider performance optimization.
• Apply modern ML techniques including gradient boosting, deep learning, NLP, and probabilistic modeling.
• Build scalable pipelines for feature engineering, model training, validation, and monitoring.

Requirements

• Proficiency in Python and ML libraries (scikit-learn, XGBoost, TensorFlow/PyTorch).
• Experience with healthcare claims datasets and coding systems (CPT/HCPCS, ICD-10, DRG, NDC).
• Understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Strong SQL skills.
• Ability to translate business needs into analytical solutions.
• Proven problem-solving skills with minimal guidance.

Additional Information

• This role involves analyzing and interpreting medical, pharmacy, and dental claims.
• Collaboration with clinicians, product managers, and stakeholders is essential.
• Experience with NLP, actuarial concepts, MLOps, health economics, epidemiology, biostatistics, and healthcare interoperability standards is preferred.