Our Benefits:
Our team members enjoy a robust benefits package including:
- Competitive compensation
- Paid time off for vacations, holidays, and illness
- Comprehensive health insurance (medical, dental, vision, prescription)
- 401(k) retirement savings plan
- Education support and student loan assistance
- Life and disability insurance
- Flexible spending account
Job Summary
This role is responsible for aligning the enterprise talent management strategy with operational data; building visualizations, statistical analyses, and predictive models to track progress and uncover areas for improvement. From forecasting nurse attrition to optimizing recruitment spend and ensuring pay equity, this role will use data sourced from Oracle HCM and other operational and clinical systems to drive the delivery of a best-in-class healthcare workforce.
Essential Functions
- Collaborate with cross-functional teams including Human Resources (HR) and other operational leaders, data scientists, and software engineers to identify data-driven opportunities for enhancing human capital and operational processes.
- Utilize cloud-based technologies, such as Google Cloud Platform (GCP), for scalable data processing and analysis.
- Serve as the "Data Translator" for HR leadership, converting high-level people strategies (e.g., "reducing turnover by 15%") into specific analytical projects and KPIs.
- Utilize Python programming and associated libraries such as PyTorch, Keras, Pandas and NumPY to create, train, test and implement meaningful data science models.
- Create time-series models to predict future staffing needs based on seasonal patient volume, historical turnover, and local labor market trends
- Develop and deploy machine learning models to identify "flight risk" employees, allowing leadership to intervene before high-value talent exits the organization.
- Lead the analysis of multifactorial relationships, including those between premium pay (travelers/overtime) and employee burnout to provide recommendations on sustainable staffing and retainment models.
- Collaborate with healthcare professionals and domain experts to understand operational needs and design data-driven solutions.
- Design and conduct experiments, interpret results, and communicate findings to both technical and non-technical stakeholders
Qualifications
- Bachelor's Degree in Data Science, Computer Science, Bioinformatics, or a related field required
- Master's Degree preferred
- Proficiency in Python programming and associated libraries.
- Experience with cloud-based platforms such as Google Cloud Platform (GCP) for data storage, processing, and deployment.
- 3–5 years of experience in People Analytics or HR Data Science, preferably within a large, complex organization (5,000+ employees).
- Proven experience extracting and manipulating data from Oracle HCM Cloud, Workday, or SAP SuccessFactors.
- Understanding of core HR functions: Talent Acquisition, Total Rewards, Employee Relations, and Learning & Development.
- Deep understanding of data privacy laws (GDPR, CCPA) and the ethical implications of using AI in the employee lifecycle
- Excellent communication and presentation skills with the ability to translate technical concepts to non-technical audiences.
Knowledge, Skills and Abilities
- Advanced knowledge of machine learning techniques and statistical modeling approaches.
- Proficiency in Python programming and associated libraries, including Scikit-learn, Keras, Pandas, NumPy, PyTorch, TensorFlow, and data visualization tools.
- Experience developing and implementing natural language processing (NLP) solutions using tools such as spaCy, BERT, NLTK, or similar frameworks.
- Knowledge of cloud computing platforms and experience deploying machine learning models in production environments.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Ability to analyze complex clinical datasets and translate findings into actionable insights.
- Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication and presentation skills, with the ability to translate technical concepts to non-technical audiences.
This is a fully remote opportunity
This position is not eligible for immigration sponsorship now or in the future. Applicants must be authorized to work in the U.S. for any employer.
We know it’s not just about finding a job. It’s about finding a place where you are respected, valued and where your work is purposeful and fulfilling. A place where your talent is recognized, professional development is encouraged and career advancement is possible.
Community Health Systems is one of the nation's leading healthcare providers. With healthcare delivery systems in 36 distinct markets across 14 states, CHS operates 69 affiliated hospitals with more than 10,000 beds and approximately 1,000 other sites of care, including physician practices, urgent care centers, freestanding emergency departments, imaging centers, cancer centers, and ambulatory surgery centers.
Skills Required
- Bachelor's degree in Data Science, Computer Science, Bioinformatics, or a related field
- Proficiency in Python programming and associated libraries
- Experience with cloud-based platforms such as Google Cloud Platform for data storage, processing, and deployment
- 3-5 years of experience in People Analytics or HR Data Science
- Experience extracting and manipulating data from Oracle HCM Cloud, Workday, or SAP SuccessFactors
- Understanding of Talent Acquisition, Total Rewards, Employee Relations, and Learning & Development
- Understanding of GDPR, CCPA, and ethical AI implications in the employee lifecycle
- Advanced knowledge of machine learning and statistical modeling
- Experience developing and implementing NLP solutions
- Experience deploying machine learning models in production environments
- Familiarity with Docker and Kubernetes
- Ability to analyze complex clinical datasets
- Excellent communication and presentation skills
- Master's degree
- Authorization to work in the United States for any employer
Community Health Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Community Health Systems and has not been reviewed or approved by Community Health Systems.
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Healthcare Strength — Benefits are described as comprehensive, with medical, dental, vision, prescription coverage, mental health resources, wellbeing programs, and chronic-condition support. Feedback suggests insurance coverage is a frequent bright spot even when base-pay sentiment is more muted.
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Retirement Support — Offerings include a 401(k) and, in some cases, pension or profit sharing along with other financial-security benefits. Feedback suggests these options contribute to a perception of solid long-term support.
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Leave & Time Off Breadth — Paid time off, holidays, and volunteer time are included, alongside programs like tuition reimbursement. Feedback suggests the range of leave provisions is a meaningful part of the package.
Community Health Systems Insights
What We Do
Community Health Systems, Inc. is one of the nation’s leading operators of general acute care hospitals. The organization’s affiliates own, operate or lease more than 80 hospitals in 16 states with approximately 15,000 licensed beds. Affiliated hospitals are dedicated to providing quality healthcare for local residents and contribute to the economic development of their communities. Based on the unique needs of each community served, these hospitals offer a wide range of diagnostic, medical and surgical services in inpatient and outpatient settings.
