Lead Data Scientist
Introduction
Do you want to join an organization that invests in you as a(an) Lead Data Scientist? At HCA, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.
Benefits
Work from Home, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:
- Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed 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 and more.
- 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 with 10% off HCA Healthcare stock
- Family support through fertility and family building benefits with Progyny and adoption assistance.
- Referral services for child, elder and pet care, home and auto repair, event planning and more
- Consumer discounts through Abenity and Consumer Discounts
- Retirement readiness, rollover assistance services and preferred banking partnerships
- Education assistance (tuition, student loan, certification support, dependent scholarships)
- Colleague recognition program
- Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)
- Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.
"Good people beget good people." — Dr. Thomas Frist, Sr., HCA Healthcare Co-Founder
Job Summary and Qualifications
At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA's Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.
Data Scientists within CT&I will play a critical role in helping us achieve this goal by actively solving for and implementing a broad range of data science solutions to drive transformational change. This includes delivery of data science products from incubation to deployment to monitoring; including solutioning for the business need, data analysis, feature engineering, building and validating models, deploying solutions to enterprise production platforms, and monitoring model performance and reliability.
This individual will be responsible for actively delivering production grade data science products; including implementing best practices, frameworks, tooling, and documentation.
They will be expected to bring hands-on expertise in predictive analytics, classification, image recognition, NLP, anomaly detection, machine learning, EDA, feature engineering, optimization, statistics, and generalized business problem solving by creatively applying AI/ML.
What you will do
- DATA INJECTION: Design and implement incoming data for feature engineering and machine learning
- FEATURE CREATION AND TRANSFORMATION: Create features with usable predictive power by using domain knowledge of healthcare data, statistics, and data science
- FEATURE EXTRACTION AND SELECTION: 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
- EXPLORATORY DATA ANALYSIS: 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
- MODEL EXPERIMENTATION: Apply various statistical and machine learning techniques to develop, tune, and optimize predictive modeling to align with the use case requirements
- DELIVERY: Deploy code using best practices
- DOCUMENTATION: Document and present data science strategies and insights and solutions
- MONITORING: Build and maintain pipelines, code, and processes to monitor the proper functioning of enterprise grade data science products
- DATA AND OUTPUT QUALITY: Ensure high quality and integrity throughout the entire data science process
- PRODUCT DEVELOPMENT MINDSET: Collaborate with stakeholders, data scientists, data engineers, and product managers to build and deliver high-quality data products
What qualifications you will need
- 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 (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 preferred
- Expertise in healthcare protocols and formats such as HL7, FHIR, DICOM preferred
- Expert in the regulatory aspects of the healthcare domain preferred
- Experience in GCP platform preferred
We are a family of 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Lead Data Scientist opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
Above all else,
we are committed to the care and improvement of human life.
Every day, we seek to raise the bar higher, not just for ourselves, but for healthcare everywhere.
HCA Healthcare is one of the nation's leading providers of healthcare services with 190 hospitals and 2,400+ sites of care, including surgery centers, freestanding ERs, urgent care centers, home health and hospice agencies, and physician clinics, in 20 states and the United Kingdom.
Every day, more than 316,000 colleagues go to work with a collective focus: our patients. Our focus positively impacts the care experience at the bedside and beyond.
As a learning health system, HCA Healthcare analyzes data from more than 44 million patient encounters each year. This data helps develop technologies and best practices that improve patient care. We also share our learnings with the larger healthcare community and government agencies to improve care everywhere.
Transforming Healthcare
We believe that the successful management of the business of healthcare means better healthcare for everyone, whether you are a physician leading the way in medicine, a nurse who takes pride in making a difference by providing excellent treatment with kindness, or a patient looking for the best care possible. Our Annual Impact Report highlights the progress we made throughout 2024 and provides information on what we're doing to fulfill our commitment to the care and improvement of human life.
- 15 Years: Named "World's Most Ethical Companies" by Ethisphere.
- $4.4 Billion: Estimated cost for the delivery of charity care, uninsured discounts and other uncompensated care in 2024.
- 44M+: HCA Healthcare patient encounters
No matter what your role, you are essential to providing higher-quality care for our patients. As an essential member of our HCA Healthcare family, we provide you with benefits that help you reach your personal and professional goals. From tuition reimbursement to 401(k) matching, see how we support you to learn, grow and enjoy a rewarding career with us.
January 21, 2026
5-7 business days
After submission
- •Explicit end-to-end ML lifecycle responsibilities (incubation → deployment → monitoring) indicate strong workflow integration and production automation.
- •Hands-on tool and platform requirements (Python, SQL, Docker, GCP, Spark, CI/CD) demonstrate high tool proficiency for applied AI.
- •Role is positioned to drive transformational change and data product delivery (product development mindset, collaboration with stakeholders) — clear strategic application of AI.
The posting demonstrates strong foundational support (comprehensive benefits, retirement matching, and a stable large employer) and offers meaningful opportunities for impactful, production-oriented data science within healthcare. Higher-order motivators are present (learning supports, mission-driven work, senior role with ownership), but several important details are missing or ambiguous: compensation range, explicit team/reporting structure, remote/hybrid logistics, and whether the very broad technical expectations are intended for a single individual or a team. Overall this role scores well for safety and physiological support; belonging, esteem and self-actualization are partially satisfied but would benefit from clarification during interviews.
- •Very broad and deep skillset expected (expertise across structured/unstructured data, image/video, NLP, deployment, cloud, Docker, CI/CD, monitoring, regulatory) — could be an unrealistic single-hire scope if not backed by a team.
- •Limited clarity on team structure, direct management responsibilities, and reporting line for a 'Lead' role — risk of mismatched expectations about technical vs. people leadership.
- •Remote description is ambiguous ('Work from Home' + Nashville location) — unclear expectations about on-site presence, core hours, or travel to clinical sites, which can affect work-life balance and logistics.
- •Extensive benefits package (comprehensive medical, behavioral health, telemedicine, dental/vision options, life/disability, PTO, paid family leave).
- •Strong retirement support: 401(k) with a 100% match on 3%–9% of pay and Employee Stock Purchase Plan.
- •Large, stable employer with clear scale and mission (190 hospitals, 2,400+ sites, 316,000+ colleagues).
- •Can you share the expected total compensation range for this role (base, bonus/commissions, and any equity or long-term incentives)?
- •Can you describe the team this Lead Data Scientist will join (team size, direct reports, who they report to, and key cross-functional partners)?
- •What does success look like in the first 90 days for this role and which metrics or deliverables will be used to evaluate it?
Location
Employment Type
Full-time
Experience Level
Senior
Posted
October 23, 2025 (1 week ago)
3 Simple Steps
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Typically receive response within 5-7 business days
Documents Needed
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