Lead Data Scientist
Job in
Memphis, Shelby County, Tennessee, 37247, USA
Listed on 2026-10-20
Listing for:
Work from Home
Full Time
position Listed on 2026-10-20
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
As a Lead Data Scientist on HCA Healthcare’s Care Transformation and Innovation (CT&I) team, you will help deliver production-grade data science products across the lifecycle, from early incubation through deployment and ongoing monitoring. The role focuses on applying predictive analytics and machine learning to healthcare data to support clinically led digital and AI integration.
Role FocusThe CT&I team drives transformational change through clinically led integration of digital and AI technologies into care. Data Scientists in this organization solve and implement data science solutions that support business needs and enable step-change outcomes.
Key Responsibilities- Design and implement incoming data workflows to support feature engineering and machine learning
- Create features with usable predictive power using domain knowledge of healthcare data, statistics, and data science
- Extract features using methods such as cluster analysis, text analytics, principal components analysis, and related approaches to identify useful information while avoiding distortion of original relationships or significant information for performance tuning and scalability
- Conduct data exploration and analysis to identify patterns, trends, and relationships, ensuring features are aligned with appropriate machine learning methodologies
- Develop, tune, and optimize predictive models by applying statistical and machine learning techniques aligned to use case requirements
- Deploy code using established best practices
- Document and present data science strategies, insights, and solutions
- Build and maintain pipelines, code, and processes to monitor the proper functioning of enterprise-grade data science products
- Maintain high quality and integrity throughout the data science process
- Collaborate with stakeholders, data scientists, data engineers, and product managers to deliver high-quality data products
- 6+ years of overall experience across aspects of data science and machine learning for Lead-level responsibilities
- Expert experience with SQL and Python
- Experience working with structured and unstructured data (for example: tabular, text, images, video)
- Experience with SQL relational and non-relational databases
- Experience with data processing and ETL tools, including Apache Spark
- Experience with data visualization and data monitoring tools
- Experience with modern software engineering practices, such as 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, such as Azure Dev Ops
- Excellent communication and collaboration skills across multiple teams and stakeholders
- Ability to communicate insights using data to drive action and change
- Healthcare domain knowledge is preferred
- Healthcare protocols and formats such as HL7
, FHIR
, and DICOM are preferred - Expertise in regulatory aspects of the healthcare domain is preferred
- Experience on the GCP platform is preferred
- SQL, Python
- Apache Spark
- Docker
- GCP
- Azure Dev Ops
- HL7, FHIR, DICOM
- Comprehensive medical coverage
- Prescription drug and behavioral health coverage
- Free telemedicine services
- Free Air Med medical transportation
- Additional options for dental and vision benefits
- Life and disability coverage
- Flexible spending accounts
- Supplemental health protection plans (accident, critical illness, hospital indemnity)
- Auto and home insurance
- Identity theft protection
- Legal counseling
- Long-term care coverage
- Moving assistance
- Pet insurance
- Free counseling services and resources for emotional, physical, and financial wellbeing
- 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)
- Employee Stock Purchase Plan…
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