Principal Data Science Engineer

Salary : $124,196.80 - $202,384.00

Full-time Days (No Weekends)

Description

Introduction

Are you looking for a work environment where diversity and inclusion thrive? Submit your application for our Consulting Data Science Engineer opening with HCA Healthcare today and find out what it truly means to be a part of the HCA Healthcare team.

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

Note : Eligibility for benefits may vary by location.

We are seeking a(an) Consulting Data Science Engineer for our team to ensure that we continue to provide all patients with high quality, efficient care.

Did you get into our industry for these reasons? We are an amazing team that works hard to support each other and are seeking a phenomenal addition like you who feels patient care is as meaningful as we do. We want you to apply!

Job Summary and Qualifications

Position Summary

This engineer delivers on development commitments from start to finish for all aspects of the Data Products and Engineering organization within Information Technology Group (ITG).

This technically focused position is responsible for designing, developing, testing and deploying our data solutions across the Enterprise.

Major Responsibilities :

This engineer can quickly learn and maintain existing solutions as well as new development. They will provide key problem resolutions for production systems as needed.

They have an in depth understanding of the services provided by ITG, Data Science and can develop relationships throughout the organization to assist in accomplishing its goals for the company.

This engineer strategically designs, constructs, and implements software in a software development environment. This includes selecting, gathering requirements for, designing, and implementing solutions for consumers throughout the enterprise.

This engineer is a highly motivated self-starter and is committed to delivering high quality solutions within agreed upon timelines.

This table illustrates the relative experience / expertise of the Consulting Data Science Engineer.

MAJOR RESPONSIBILITIES AS PROPORTION OF TIME

65% Development Activities

• Act as technical developer within DS and project Integrations, including requirements gathering, design, development, and testing
• Participate in requirements validation and feasibility analysis with respect to DS
• Create high level and detail design specification that will enable, help troubleshooting day to day build activities.
• Estimate work effort required in delivering features keeping DS capabilities in mind
• Produce high quality, modular, reusable code that incorporates coding best practices and serves as an example for less experienced developers
• Write code and assist in development of new products / features and enhance and / or maintain existing ones
• Design and execute DevOps strategies and processes, driving the change management which accompanies these types of transformative solutions
• Design, build and maintain automated deployment frameworks (Continuous Integration, Continuous Delivery), to reduce the software development cycle time
• Work collaboratively with infrastructure team to evolve DS Integration configuration / customization for different environments
• Accurately report issues and status to project management
• Create and execute test cases (both automated and manual)
• Participate in various code review activities
• Possess knowledge of enterprise and software design patterns.
• Create Service Level Agreements (states the agreed upon availability-uptime / downtime, maintenance windows, etc. for a Service) and Supplementary Specifications (i.

e., non-functional specifications). Ensure implementations are up to current standards for coding, naming, security, and versioning.

• Develop / Understand the SOA architecture and design
• Possess knowledge and experience with different phases of testing (unit testing, integration testing, performance testing).
• Possess excellent communication skills to interface with various stakeholders from business consumer to technical staff.
• Be incorporated development teams from design to deployment of enterprise services.
• Research and become the Subject Matter Expert (SME) on the interaction of the Service with source systems as well as interaction with the consumers (business users).

15% Consulting Engineer Activities

• Standards Development for Development Teams
• Working with Architects doing Technology Evaluation / Product Selection
• Partnering with managers to participate in Contract Negotiation / Vendor Relations
• Interview / Hiring / Performance Evaluation
• Financial Acumen

20% Oversee and participate in the day-to-day support and maintenance activities.

• Understand assigned applications and system architecture
• Lead troubleshooting activities
• Work on assignments involving the use of various technologies both old and new.
• Develop software with a focus on delivering reusable code.
• Mentor other engineers on the applications and system architecture.
• Complete assignments on time.
• Work as part of a team and work independently.
• Direct the performance of simple, moderate and complex programming assignments within the department
• Provide after hours / on-call support as needed
• Performs other duties as assigned
• Practices and adheres to the Code of Conduct philosophy and Mission and Value Statement.

Education & Experience :

• Select Degree Level - Bachelor Degree Required
• Select Degree Level - Masters Degree Preferred
• 7+ Years Relevant Work Experience Required
• Or equivalent combination of education and / or experience

Knowledge, Skills, Abilities, Behaviors :

Technology Experience : 7+ years of experience in most of the following :

We are looking for experts in these areas. If you don’t have experience in some of these, you are able to work collaboratively on a cross-functional team that builds Data Science signal delivery, data pipeline, and DevOps infrastructure.

• Extensive expertise / experience in schema design for relational databases
• Extensive expertise / experience in data acquisition, data cleansing and parsing required.
• Mastery of SQL (e.g., MSSQL, Oracle, Postgres) required
• Experience with deployment and architecture in cloud environments (e.g. GCP, Azure)
• ETL experience required
• Mastery of one or more formal development languages (e.g., Python, R, JavaScript, Ruby, Scala, or Clojure) required
• Experience with modern machine learning libraries (e.g. scikit-learn, tensorflow, pytorch, etc)
• Experience with various machine learning techniques such as classification, regression, clustering, etc
• Extensive expertise / experience in the areas of data structures, warehousing, and profiling
• Experience using a distributed version control system (DVCS; e.g., GitHub, TFS) a plus.
• Scrum, Agile, Lean Product Development, Domain Driven Design
• Excellent communication skills, both written and verbal
• Experience and knowledge with Service Oriented Architecture (SOA)
• Healthcare experience, preferable
• Exposure to the fundamentals of Enterprise Architecture (preferred)

Adaptability

• Treats change and new situations as opportunities for learning or growth.
• Focuses on the beneficial aspects of change and speaks positively about the change to others.
• Seeks to understand changes in work tasks, situations, and environment as well as the logic or basis for change.
• Demonstrates the ability to help others adapt to change and to personally adapt to various work environments.

Strategic Working Relationship :

• Builds relationships within the department and across multi-disciplinary teams to assist in facilitating discussions regarding data outputs and feedback on usage activities to improve Data Science impact.
• Adaptability - Expected Level of Competency
• Ability to network with corporate and field contacts.
• Frequent inter-departmental contact and presentations.
• Independently works with customers on a 1 : 1 basis, as well as in teams.

Working Standards

• Continues to refine development and analytical skills.
• Applies a consistent development approach to provide creative solutions to problems.
• Contribute to the design, construction and implementation of software and analytics solutions in the data science engineering environment.
• Works to build technical knowledge by taking advantage of internal team mentoring and attending professional development opportunities.

Freedom to Act / Independent Judgment

• Works independently with general supervision.
• Work is evaluated to ensure objectives are met.
• Exercises judgement in selecting and adapting methods and techniques for obtaining solutions.
• Follows standard practices and procedures. Required

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.

Across HCA Healthcare’s more than 2,000 sites of care, our nurses and colleagues have a positive impact on patients, communities and healthcare.

Together, we uplift and elevate our purpose to give people a healthier tomorrow."- Jane Englebright, PhD, RN CENP, FAAN

Senior Vice President and Chief Nursing Executive

If you find this opportunity compelling, we encourage you to apply for our Consulting Data Science Engineer opening. We promptly review all applications.

Highly qualified candidates will be directly contacted by a member of our team. We are interviewing 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.