HCA Healthcare is looking to provide high-quality healthcare services to patients and care providers by leveraging data science and AI technologies, and the Lead Data Scientist role is intended to help achieve this goal by delivering production-grade data science products and solutions.
Requirements
- Expert experience in SQL and Python
- Experience with structured and unstructured data (ie. tabular, text, images, video, etc)
- Experience with SQL relational and non-relational databases
- Experience with data processing and ETL tools (e.g Apache Spark)
- Experience with data visualization and data monitoring tools
- Experience with modern software engineering practices (e.g. automated testing, continuous integration and continuous development)
- Experience with Docker
Responsibilities
- Design and implement incoming data for feature engineering and machine learning
- Create features with usable predictive power by using domain knowledge of healthcare data, statistics, and data science
- Extract features via cluster analysis, text analytics, principal components analysis and related methodologies
- Conduct data exploration and analysis to identify relevant patterns, trends, and relationships
- Apply various statistical and machine learning techniques to develop, tune, and optimize predictive modeling
- Deploy code using best practices
- Document and present data science strategies and insights and solutions
Other
- Ability to tell a story using data and insights that drives action and change
- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders
- 6+ years of overall experience in various aspects of data science and machine learning (for Lead level)
- Domain knowledge of healthcare data preferred
- We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
