Python IT Healthcare Dotnet, AWS, Databricks, SQL, Github Professional

Job Summary

The Staff Data Scientist will lead data-driven initiatives that generate actionable insights, develop predictive and statistical models, and enable data-centric decision-making across healthcare business domains. This role will help create well-governed master data products that stakeholders and end users can trust.

Responsibilities

• As the primary subject-matter contact for entity resolution, the Staff Data Scientist will address complex data-matching challenges across large, disparate data silos and collaborate with cross-functional teams to unlock insights from healthcare datasets.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop, implement, and validate statistical and machine learning models.
• Solve enterprise-scale record linkage, deterministic and probabilistic matching, and graph-based entity resolution challenges.
• Conduct root-cause analysis on training and test data to identify and resolve model anomalies.
• Establish robust validation and testing procedures to ensure data quality, model reliability, and data integrity.
• Support model training, inference, deployment, and ongoing performance monitoring.
• Develop and refine key performance indicators to measure success across business functions.
• Establish processes for tracking, reporting, and communicating performance metrics.
• Design and build data pipelines that support semantic-layer development and stakeholder needs.
• Contribute to trusted, scalable, and well-governed master data products.

Disclaimer This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.