HCA Healthcare is looking to deliver high-quality healthcare services through the integration of digital and AI technologies into care, and the Data Science Director role is expected to drive a positive change throughout the organization.
Requirements
- Expert experience in SQL and Python.
- Experience with structured and unstructured data (i.e.. tabular, text, images, video, etc.).
- Experience with SQL relational and non-relational databases.
- Experience with data processing and ETL tools (e.g. dbt).
- Experience with data visualization and data monitoring tools.
- Experience with Infrastructure as Code (IAC) such as Terraform, Github Actions, and Docker.
- Experience with cloud deployments in GCP or another cloud platform.
Responsibilities
- DATA SCIENCE LEADERSHIP: Manage, mentor, and coordinate teams of data scientists, product managers, analysts, and vendors/contractors to meet project goals and expectations.
- AGILE AND VALUE BASED DELIVERY: Lead, research, strategize, design, implement, document and evangelize Data Science products from incubation to deployment to monitoring.
- FRAMEWORK, TOOLING, AND BEST PRACTICES: Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for best practices.
- CODE AND DELIVERABLE QUALITY: Provide technical code review for delivery work; ensure adherence to Responsible AI framework, ensure model interpretability, explainability, and model KPIs.
- STRATEGIC LEADERSHIP: Actively participate in the development of the company's data science strategy and roadmap, working closely with senior leadership.
- DOMAIN LEADERSHIP: Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to the team.
- PRODUCT DEVELOPMENT MINDSET: Communicate with senior management and stakeholders to ensure alignment of goals and priorities through an unrelenting focus on end users.
Other
- Bachelor Degree Required.
- Masters/PhD Degree Preferred.
- 8+ years of overall experience in various aspects of data science, machine learning, and generative AI with demonstrated progressive responsibilities.
- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders.
- Strong leadership skills with a proven track record of motivating, mentoring, and managing multidisciplinary data science and engineering teams.
