Principal Data Scientist Forecasting And Optimiztn

Key Skills

A/B Testing, Aartificial intelligence, API, Big Data Technology, Cloud computing, Data science techniques, DataOps, Julia, Linear Programming, Machine learning techniques, MLOps tools, Optimization, Python Programming, PyTorch, R Programming, Scikit-learn, SQL, TensorFlow

Job Description

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. The Principal Data Scientist is a critical role in helping us achieve this goal by architecting and implementing a broad range of data science solutions to improve patient outcomes.

This is a data science practitioner role with a solid academic and engineering background. He/she will maintain a balance between building principled, mathematically rigorous solutions, and launching them through agile product development. He/She will be the resident expert on predictive analytics, forecasting, optimization and various Operations Research problems.

Key Responsibilities:

• Lead research, strategy, design and implementation of data science products from incubation to deployment.
• Understand and apply all aspects of data science with expert sophistication. Perform descriptive, exploratory and inferential statistical analysis as well as supervised and unsupervised machine learning.
• Act as the subject matter expert on feasible and aspired model performance KPIs. Define acceptance criteria for sprint completion and track iterative improvement. Provide guidance on diminishing returns.
• Develop and implement algorithms and models to analyze large-scale healthcare data sets, including electronic health records, claims data, and patient-generated data.
• Perform feature engineering & modeling with clinical, operational, and financial data. Produce high quality, modular, reusable code that incorporates coding best practices and serves as an example for the broader data science community within the organization.
• Design and implement highly scalable applications that take advantage of cloud native infrastructure and platform services.
• Work collaboratively with DataOps/MLOps team to automate drift detection and A/B testing.
• Lead various design and code review activities.
• Define and steer implementation of processes and standards for Machine Learning tools, code, testing, and product deployment.
• Train and mentor others with respect to advanced Data Science/AI/Machine Learning techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data Science development and solutions
• Identify new, strategic requirements for data and lead process of acquisition and productization.
• Lead discussions and presentations in leadership forums.
• Work both independently and as a lead of multi-disciplinary teams.
• Utilize strategies and tactics to arbitrate, mediate, or reconcile conflicts or resistance to change.
• Anticipate potential adverse events and problems: guide conversation and solution amongst peers and partners across the enterprise. Lead troubleshooting activities.

Knowledge, Skills, Abilities, Behaviors

Required

• 10+ years of experience in applied data science over a broad range of use cases.
• 5+ years of experience in time series forecasting with various noise/signal levels.
• 5+ years of experience in linear programming, graph theory and optimization in real world systems.
• 3+ years of experience in architecting and designing big data and machine learning pipelines in a cloud environment.
• 2+ years of experience with API integration and reliability engineering.
• Expert in SQL, Python/R/Julia and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Expert in building and scaling accurate time series forecasting models using federated learning. Expert judgement on using simple (e.g. ARIMA) vs complex (e.g. LSTM) models depending on the KPI trade-offs.
• Experience with advanced statistical modeling and machine learning techniques, such as regression analysis, decision trees, deep learning, and reinforcement learning.
• Familiarity with healthcare data sources and standards, such as electronic health records, claims data, and clinical terminologies.
• Familiarity with healthcare regulations, ethical aspects and compliance requirements.
• Experience with data de-identification and synthetic data generation/upscaling.
• Open to new ideas from team members. Ability to disagree and commit when needed
• Excellent communication skills to interface with various technical and non-technical stakeholders.
• Ability to tell a story using data and insights that drives action and change.
• Passion for healthcare and a desire to make a positive impact on patient outcomes.
• Intellectual curiosity

Preferred:

• Thought leadership in healthcare data science through publications, conference presentations, and participation in collaboration forums like Kaggle.
• Experience with conducting and participating in hackathons.
• Experience with GCP and Palantir data data science platforms.
• Proficiency in handling HL7, FHIR and DICOM protocols.

Travel:

• The job may require up to 25% travel

HCA Healthcare (Corporate), based in Nashville, Tennessee, supports a variety of corporate roles from business operations to administrative positions. Like our colleagues in any HCA Healthcare hospital, our corporate campus employees enjoy unparalleled resources and opportunities to reach their potential as healthcare leaders and innovators. From market rate compensation to continuing education and career advancement opportunities, every person has a solid foundation for success. Nashville is also home to our Executive Development Program, where exceptional employees are groomed to take on CNO- and COO-level roles in our hospitals. This selective program focuses on ethics, leadership and the financial and clinical knowledge required of professionals at this level of the industry.

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.