Senior AI Data Scientist (Remote) — Production ML & MLOps

Knowtion Health; United States; À distance; USD 140 000 - 230 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision insurance

Life Insurance

Short/Long-term disability insurance

401k

Generous PTO

Paid holidays

Résumé du poste

Knowtion Health is seeking a Senior AI Data Scientist who owns problems from framing to production monitoring. You will build, validate, and deploy models for revenue-cycle applications with attention to reliability, explainability, and auditability.

This remote role requires strong Python/SQL skills, MLOps expertise, and the ability to collaborate with subject matter experts to ensure defensible results in a fast-moving, highly regulated healthcare/payments domain.

Qualifications

• Several years building and validating models, with ownership of at least one production model.
• Degree in a quantitative field or equivalent demonstrated ability.
• Strong statistical foundation: experimental design, inference, handling imbalanced data, and evaluating real-world results.

Responsabilités

• Frame revenue-cycle problems as modeling problems and own end-to-end solutions in production.
• Build, validate, and monitor models with statistical rigor and uncertainty handling.
• Design, implement, and maintain data pipelines feeding models, integrating with billing and EHR systems.
• Establish and own MLOps: model monitoring, drift detection, explainability, versioning, and documentation.

Connaissances

Python

SQL

Git

MLOps

Model deployment

Pandas

NumPy

Scikit-learn

Deep learning

Experiment tracking

Formation

Degree in statistics, computer science, mathematics, or data science

Outils

SHAP/interpretability tools

Data pipeline tooling

Description du poste

Knowtion Health is seeking a Senior AI Data Scientist who owns problems from framing to production monitoring. You will build, validate, and deploy models for revenue-cycle applications with attention to reliability, explainability, and auditability.

This remote role requires strong Python/SQL skills, MLOps expertise, and the ability to collaborate with subject matter experts to ensure defensible results in a fast-moving, highly regulated healthcare/payments domain.