Partner with product, data science, engineering, cloud platform team, and clinical stakeholders to translate business problems into scalable architectures, covering data pipelines, model development/selection, ML Ops, governance, and integration with electronic health record and cloud platforms. Total compensation considers multiple factors, including, but not limited to a candidate's experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs.