Job description

Position: Lead Responsible AI Data Scientist Introduction Do you want to join an organization that invests in you as a Lead Responsible AI Data Scientist? At HCA Healthcare, 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 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 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. 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 Responsible AI Data Scientist like you to be a part of our team. 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 Digital Transformation and Innovation (DT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care, and the Lead Responsible AI Data Scientist plays an integral role in these efforts. Major Responsibilities: Provide responsible AI guidance to multiple product development Pods as a subject matter expert Lead and Conduct Code and Design reviews as a function of Data Science, ensuring adherence to responsible AI framework Collaborate with data scientists, ML engineers, Cloud engineers, and other IT professionals to integrate responsible AI practices in the MLOPs workflow Provide sample code for reference implementation to demonstrate responsible AI best practices in the AI development cycle Create automation for RAI reviews in the CICD process Assist with No Code and Low Code AI proof of concept initiatives by collaborating with stakeholders and ITG partners Lead comprehensive reviews of AI policies to ensure compliance with industry standards and ethical guidelines Collaborate with cross-functional teams to identify and mitigate risks associated with AI implementations, ensuring responsible and transparent use of AI technologies Translate complex technical concepts into actionable guidance for non-technical stakeholders What qualifications you will need: Bachelor's Degree - Required Master's Degree - Required PhD Degree - Preferred8+ years of overall experience in various aspects of data science and machine learning (years of experience dependent on Data Scientist level) - Required Knowledge, Skills, Abilities, Behaviors: Strong understanding of machine learning models across different modalities (tabular, text, images, etc) - Required Strong familiarity with data pipelines, data governance, and model lifecycle management - Required Experience with Agile development methods and tools (e.g. Azure Dev Ops) - Required Experience with python, docker, data warehouse (Teradata, big query, or snowflake), sklearn, and pytorch/tensor flow - Required Familiarity with enterprise regulatory environment, government relations, and risk management -Required Experience in technical/academic writing and literature/policy review - Required Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders and breakdown AI for a non-technical audience - Required Ability to tell a story using data and insights that drives action and change - Required Domain knowledge of healthcare data - Preferred Expertise in healthcare protocols and…

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