Job Information
HCA Healthcare Consulting Machine Learning Engineer in Nashville, Tennessee
Description
Introduction
Do you have the career opportunities as a Consulting Machine Learning Engineer you want with your current employer? We have an exciting opportunity for you to join HCA Healthcare which is part of the nation's leading provider of healthcare services, HCA Healthcare.
Benefits
HCA Healthcare, 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 (https://careers.hcahealthcare.com/pages/employee-benefits-and-rewards)
Note: Eligibility for benefits may vary by location.
Our teams are a committed, caring group of colleagues. Do you want to work as a Consulting Machine Learning Engineer where your passion for creating positive patient interactions is valued? If you are dedicated to caring for the well-being of others, this could be your next opportunity. We want your knowledge and expertise!
Job Summary and Qualifications
We are seeking a highly motivated Consulting Machine Learning Engineer to join our team. As a Consulting Machine Learning Engineer, you will play a crucial role in leveraging data to drive strategic initiatives, improve patient outcomes, enhance operational efficiency and advance healthcare innovation. In this role, you will be responsible for utilizing advanced analytics and machine learning to develop data pipelines and solutions that will provide data-driven insights to drive strategic decisions. This includes development of predictive analytics models using various machine learning techniques and analyzing large datasets to uncover patterns, trends, and insights to inform decisions.
In addition, you will work with stakeholders to define data requirements and develop data strategies. Develop an understanding of the healthcare industry and the challenges facing HCA Healthcare. Collaborate with cross-functional teams to ensure successful implementation of advanced analytics solutions. Communicate results and recommend solutions to stakeholders in a clear and concise manner. Keep up-to-date with the latest developments in machine learning and data science. Troubleshoot problems and identify potential solutions.
The Machine Learning Engineer role requires 'self-starters' who are proficient in problem solving and capable of bringing clarity to complex situations. It requires contributing to strategic technical direction and support for ReBA Product Development’s Machine Learning capabilities. It also requires working closely with others, frequently in a matrixed environment, and with little supervision. This candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision.
MAJOR RESPONSIBILITIES
Developing predictive models on large-scale datasets to address various business problems through demonstrating advanced statistical modeling, machine learning, or data mining techniques. Using combinations of Python, Azure, Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery ML
Developing predictive analytics models using various machine learning techniques
Evaluating the performance of predictive models and algorithms using appropriate metrics and validation techniques, and iterate on model improvements
Building and maintaining data pipelines that are optimized for machine learning applications
Providing guidance on technology choices and design considerations for AI/ML programs
Collaborating with business analysts, project lead, management, and customers on requirements
Assisting with the training and enablement of end users, including data scientists, program managers, and data consumers
Sharing knowledge and experience to contribute to growth of overall team capabilities
Designing fit-for-purpose products to ensure products align to the customer's strategic plans and technology road maps
Actively participate in technical group discussions and adopt any new technologies to improve the development and operations.
Assisting team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary
What qualifications you will need:
OTHER/SPECIAL QUALIFICATIONS
Proficiency with Python and data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.)
Experience producing meaningful visualizations/dashboards/presentations to business stakeholders
Experience solving "full stack" machine learning problems, from data collection to model training to deployment, and experience using machine learning.
Understanding and exposure to the different levels of the data science cycle (definition, collection, preparation, extraction, analysis, modeling, and deployment)
Experience with Object Oriented Programming (OOP) concepts & scalable software design principles
Experience working with SQL/MySQL
Experience working with GCP AI and ML Products such as: Vertex AI, AutoML, Vertex AI Notebooks, Document AI, BigQuery ML
Ability to multitask and to balance competing priorities.
Strong verbal, written, and interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment.
A successful candidate may have:
Experience in Healthcare Domain
Experience in Patient Data
PHYSICAL DEMANDS/WORKING CONDITIONS
Some travel will be required – 10% or less
Typical work week hours can vary depending on workload and project deliverables
HCA Healthcare has been recognized as one of the World's Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.
"Bricks and mortar do not make a hospital. People do."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Consulting Machine Learning Engineer opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews. Unlock the possibilities and apply today!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.