Drive MLOps best practices, develop automation in ML lifecycle, and partner with data teams for model deployment and monitoring.

Design and develop platform architecture, enhance developer experience, manage cloud infrastructure, and ensure security compliance. Troubleshoot issues and improve automation tools.

The Senior Data Scientist will architect and develop scalable personal auto risk models and data pipelines, mentor team members, and optimize cloud environments while collaborating with cross-functional teams and ensuring high-quality deployment of models.