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Lead Data Scientist

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: HCA Healthcare
Full Time, Part Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Introduction

Do you want to join an organization that invests in you as a 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 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 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.

Learn more about Employee Benefits

Note:
Eligibility for benefits may vary by location.

You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Lead Data Scientist like you to be a part of our team.

Job Summary and Qualifications

Job Summary

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…
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