Manager, Enterprise Data Scientist

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 business, operational and healthcare datasets, developing data visualizations and dashboards, assisting with data model and/or feature development, and translating insights into actionable recommendations for improving operational outcomes.

Responsibilities:

• Independently lead cross-functional teams including business and operational leaders, data scientists, and engineers to identify data-driven opportunities for enhancing clinical processes and patient care.

• Utilize cloud-based technologies, such as Oracle Cloud Infrastructure (OCI) and Google Cloud Platform (GCP), for scalable data processing and analysis.

• Apply theoretical best-practices in the development of easily consumable dashboards from complex business, operational and clinical 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.

• Minimum 2 years of demonstrated experience of developing, operationalizing and deploying data visualization products build from automated data models (statistical, machine learning or artificial intelligence) in a cloud based environment within a large healthcare or health-related setting.

• Advanced skill with Python programming and common libraries for data science.

• 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.