Senior AI Data Scientist

Job Summary

Owning the end-to-end process of modeling and data pipeline management, the remote Senior AI Data Scientist will frame revenue-cycle problems, build and validate statistical models, and establish MLOps practices to ensure operational reliability and data quality.

Key responsibilities

• Frame and manage revenue-cycle modeling problems from hypothesis to validated results in production
• Build and validate models with a focus on statistical rigor and reliable data handling
• Design, maintain, and oversee data pipelines, ensuring integration with various systems and high data quality

Required qualifications

• Several years of experience building and validating models in production, with ownership of at least one critical model
• A degree in a quantitative field such as statistics, computer science, mathematics, or data science
• Strong statistical foundation in experimental design, model evaluation, and handling imbalanced data
• Proficiency in Python (pandas, NumPy, scikit-learn) and SQL, including performance-aware queries
• Hands-on experience with MLOps practices, including monitoring and versioning of models