Lead Data Scientist

HCA Healthcare; Nashville (TN); Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical coverage

401(k) match

Stock purchase plan

Education assistance

Employee discounts

Paid time off

Job summary

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

Responsibilities

• 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.

Skills

SQL

Python

Data visualization

Cloud platforms

Docker

ETL tools

Communication

Tools

Apache Spark

Airflow

GCP

Job description

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 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.

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

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 (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 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

"Good people beget good people." - Dr. Thomas Frist, Sr.

HCA Healthcare Co-Founder

We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Lead Data Scientist opening. Qualified candidates will be contacted for interviews.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.