Remote Lead Data Scientist - Healthcare AI & Analytics

HCA Healthcare

Nashville (TN)

À distance

USD 150 000 - 230 000

Plein temps

Il y a 5 heures
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Avantages offerts par ce poste

Medical coverage
401(k) match
Stock purchase plan
Education assistance
Employee discounts
Paid time off

Résumé du poste

HCA Healthcare is seeking a Lead Data Scientist to join the CTI team to design, build, and deploy production-grade data science products in healthcare. You will drive feature engineering, model experimentation, and monitoring while collaborating with stakeholders across care delivery and IT.

The role requires deep SQL/Python expertise, experience with Spark and cloud deployments, and strong communication skills to translate data insights into action in a healthcare environment.

Qualifications

  • 6+ years of overall experience in data science and ML (lead level).
  • Expert experience in SQL and Python.
  • Experience with structured and unstructured data (tabular, text, images).
  • 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, CI/CD).
  • Experience with Docker.
  • Experience with cloud deployments in GCP or another cloud platform.
  • Experience with Agile development methods and tools (e.g. Azure DevOps).
  • Excellent communication and collaboration across teams.
  • Domain knowledge of healthcare data preferred (HL7, FHIR, DICOM).
  • Healthcare regulatory knowledge preferred.
  • GCP platform experience preferred

Responsabilités

  • DATA INJECTION: Design and implement incoming data for feature engineering and ML.
  • FEATURE CREATION: Create features with predictive power from healthcare data and stats.
  • FEATURE EXTRACTION: Use PCA, text analytics to identify useful info while preserving relations.
  • EXPLORATORY DATA ANALYSIS: Explore data to identify patterns and relations.
  • MODEL EXPERIMENTATION: Develop, tune, and optimize predictive models.
  • DELIVERY: Deploy code using best practices.
  • DOCUMENTATION: Document data science strategies and insights.
  • MONITORING: Build and maintain pipelines to monitor production models.
  • DATA AND OUTPUT QUALITY: Ensure high data quality and integrity.
  • PRODUCT DEVELOPMENT MINDSET: Collaborate with stakeholders to build data products.

Connaissances

SQL
Python
Data visualization
Cloud platforms
Docker
ETL tools
Communication

Outils

Apache Spark
Airflow
GCP

Description du poste

HCA Healthcare is seeking a Lead Data Scientist to join the CTI team to design, build, and deploy production-grade data science products in healthcare. You will drive feature engineering, model experimentation, and monitoring while collaborating with stakeholders across care delivery and IT.

The role requires deep SQL/Python expertise, experience with Spark and cloud deployments, and strong communication skills to translate data insights into action in a healthcare environment.

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