Principal Data Scientist Feature Engineering WFH

Benefits

HCA 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.

Note:

Eligibility for benefits may vary by location.

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.

The Principal Data Scientist - Feature Engineering will play a critical role in helping us achieve this goal by leading HCA's efforts to convert raw data into valuable features for use in enterprise data products and machine learning models.

This individual will provide technical, product-oriented, and organizational leadership for best practices, frameworks, tooling, and delivery of production grade feature stores and data products. They will be expected to bring hands-on expertise in EDA, data normalization, feature creation, data transformation, feature extraction, model benchmarking, statistics and data science techniques, data engineering, metadata management, and data governance.

This role is expected to drive positive change throughout the organization (both Business and Technology) by democratizing data insights through decentralized stewardship, governance, and self-service. He/she is expected to show empathy for the customers (i.e. data scientists and analysts) and build feature stores and data products which deliver a delightful experience.

The job may require up to 25% travel.

• DELIVERY:
  Architect, design, implement, document and evangelize reusable feature stores and data products for multiple consumers.
• FRAMEWORK AND BEST PRACTICES:
  Facilitate the delivery of enterprise wide, production grade, and accurate data products and machine learning models by establishing and standardizing process frameworks for process and best practices.
• TOOLING:
  Research, recommend, and implement tooling for agile development of feature stores and data products; including metadata management, data lineage, data quality, data catalogs and data discoverability.
• TECHNICAL LEADERSHIP:
  Stay up-to-date with the latest developments and trends in datasets marketplace, data governance, data democratization, and data products. Develop and manage technical architectures and considerations for data products.
• CODE REVIEW:
  Provide technical code review for work in feature engineering domain.
• MENTORSHIP:
  Mentor and lead the team of data engineers, data scientists, product managers, and data stewards to build and deliver high-quality data products.
• DATA AS A PRODUCT:
  Identify new opportunities to leverage data to improve patient outcomes and reduce healthcare costs, working closely with business leaders to understand their needs and develop customized data solutions to meet their specific requirements.
• DATAOPS:
  Partner with IT and compliance teams to design privacy, security, ethical, and other regulatory controls while maintaining lean Data Ops practices.
• STRATEGIC LEADERSHIP:
  Actively participate in the development of the company's data strategy and roadmap, working closely with senior leadership.
• DOMAIN LEADERSHIP:
  Stay up-to-date with healthcare industry trends and AI technologies, bringing new ideas and best practices to CT&I.
• PRODUCT DEVELOPMENT MINDSET:
  Communicate with senior management and stakeholders to ensure…