[Remote] Lead Data Scientist
Note: The job is a remote job and is open to candidates in USA. HCA Healthcare is committed to providing high-quality healthcare services and is seeking a Lead Data Scientist to join their Digital Transformation and Innovation team. This role involves delivering data science solutions that drive transformational change in patient care through the application of AI and machine learning techniques.
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 to identify useful information without distorting original relationships or significant information in order to performance tune and promote scalability of the model
- Conduct data exploration and analysis to identify relevant patterns, trends, and relationships; understand the data deeply to appropriately align the data features with the appropriate machine learning methodologies
- Apply various statistical and machine learning techniques to develop, tune, and optimize predictive modeling to align with the use case requirements
- Deploy code using best practices
- Document and present data science strategies and insights and solutions
- Build and maintain pipelines, code, and processes to monitor the proper functioning of enterprise grade data science products
- Ensure high quality and integrity throughout the entire data science process
- Collaborate with stakeholders, data scientists, data engineers, and product managers to build and deliver high-quality data products
Skills
- 6+ years of overall experience in various aspects of data science and machine learning (for Lead level)
- 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
- Experience with cloud deployments in GCP or another cloud platform
- Experience with Agile development methods and tools (e.g. Azure Dev Ops)
- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders
- Ability to tell a story using data and insights that drives action and change
- Domain knowledge of healthcare data
- Expertise in healthcare protocols and formats such as HL7, FHIR, DICOM
- Expert in the regulatory aspects of the healthcare domain
- Experience in GCP platform
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