Data Scientist

Global healthcare software provider supporting hospitals and care organizations through data-driven technology. The company leverages advanced analytics and machine learning to help improve clinical outcomes, patient safety, and operational performance. Operating at scale with large, complex datasets, the organization is investing heavily in predictive modeling and analytics innovation.

• Design and deploy machine learning models focused on healthcare operations and performance optimization.
• Extract, transform, and analyze complex datasets to enable reliable analytics pipelines.
• Partner with engineering and product teams to integrate predictive models into production systems.
• Develop experiments and performance measurement frameworks to support product optimization.
• Monitor model accuracy, data quality, and system performance at scale.

• Mid-level experience in data science or applied machine learning.
• Proven ability to deploy production-grade models and analytics pipelines.
• Strong foundation in statistics, forecasting, clustering, and experimental design.
• Experience working with Python, SQL, and cloud data technologies.
• Interest in applying data science to real-world, mission-driven problems.