Community Health Systems is hiring an Enterprise Data Scientist to align enterprise talent management strategy with operational data, driving a best-in-class healthcare workforce. In this role, you will build visualizations, statistical analyses, and predictive models to forecast attrition, optimize recruitment, and ensure pay equity.
What You'll Do
- Collaborate with cross-functional teams including HR, operational leaders, data scientists, and software engineers to identify data-driven opportunities.
- 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 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 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.
- Lead the analysis of multifactorial relationships, such as between premium pay and employee burnout, to provide recommendations.
- 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.
What We're Looking For
- Master's degree in Data Science, Data Analytics, Computer Science, Industrial-Organizational (I-O) Psychology, Statistics, Economics, or a related field.
- 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.
- History of translating ambiguous business questions into rigorous SQL logic.
- Advanced proficiency in modern visualization suites (e.g., Tableau, Power BI, Looker) and programmatic libraries (e.g., Matplotlib, Seaborn, Plotly).
- 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.
Technical Stack
- Languages & Libraries: Python, PyTorch, Keras, Pandas, NumPY
- Cloud & Data Platforms: Google Cloud Platform (GCP), SQL, Oracle HCM Cloud
- Visualization Tools: Tableau, Power BI, Looker, Matplotlib, Seaborn, Plotly
Team & Environment
You will collaborate with cross-functional teams including Human Resources (HR) and other operational leaders, data scientists, and software engineers.
