CHS Corporate

Enterprise Data Scientist

,

Full Time

This role is responsible for leveraging your expertise in data analytics, advanced statistical methods, and programming to derive insights from clinical data. As a member of the Enterprise Data Science team, this role will be responsible for analyzing complex clinical datasets, developing data visualizations and dashboards, assisting with data model and/or feature development, and translating insights into actionable recommendations for improving patient care and operational outcomes.

Responsibilities:
  • Collaborate with cross-functional teams including clinical leaders, data scientists, and software engineers to identify data-driven opportunities for enhancing clinical processes and patient care.
  • Utilize cloud-based technologies, such as Google Cloud Platform (GCP), for scalable data processing and analysis.
  • Develop easily consumable dashboards from complex clinical and operational data to provide visualizations derived from best practices and data consumption theory that drive healthcare and business performance.
  • Implement best practices for data management, including data quality assessment, data validation, and data governance.
  • Utilize Python programming and associated libraries such as PyTorch, Keras, Pandas and NumPY to create, train, test and implement meaningful data science models.
  • Lead the analysis of operational data to identify patterns, trends, and correlations relevant to healthcare outcomes.
  • Collaborate with healthcare professionals and domain experts to understand operational needs and design data-driven solutions.
  • Design and conduct experiments, interpret results, and communicate findings to both technical and non-technical stakeholders
Requirements:
  • Master's degree in Data Science, Data Analytics, Computer Science, or a related field.
  • Proven experience in analyzing complex healthcare data and building customer facing dashboards and data visualizations.
  • Proficiency in Python programming and associated libraries.
  • Experience with cloud-based platforms such as Google Cloud Platform (GCP) for data storage, processing, and deployment.
  • Strong problem-solving skills and ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and presentation skills with the ability to translate technical concepts to non-technical audiences.