Consulting Data Scientist

Company:  HCA Healthcare
Location: Nashville-Davidson
Closing Date: 30/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Description

Introduction

Do you have the career opportunities as a Consulting Data Scientist 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.
  • Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans, 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.
  • Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence).

Learn more about Employee Benefits

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 Data Scientist 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 Data Scientist to join our team. As a Consulting Data Scientist, 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.

The Machine Learning Engineer role requires self-starters who are proficient in problem solving and capable of bringing clarity to complex situations. 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.
  • Building and maintaining data pipelines that are optimized for machine learning applications.
  • Collaborating with business analysts, project lead, management, and customers on requirements.
  • Sharing knowledge and experience to contribute to growth of overall team capabilities.
  • 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:

  • Proficiency with Python and data science libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.).
  • Experience producing meaningful visualizations/dashboards/presentations to business stakeholders.
  • 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.

If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Consulting Data Scientist 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.

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