Community Health Systems · 2 months ago
Oracle Enterprise Data Scientist
4000 MERIDIAN BOULEVARD, FRANKLIN, TN, 37067, US
Full-time
Onsite
Entry, Mid Level
2+ years expCommunity Health Systems is seeking a highly specialized and experienced Enterprise Data Scientist to drive data quality, standardization, and insight generation across their core Oracle operational suite. The role focuses on ensuring data integrity in a regulated healthcare environment and transforming raw transactional data into actionable business intelligence to optimize costs and enhance operational efficiency.
Health CareHospital
Responsibilities
Data Validation, Integrity, and Compliance (Critical Focus)
Healthcare Data Quality Assurance: Design and implement automated data validation frameworks specific to healthcare operations, ensuring transactional data (e.g., supply usage, procedure charging, contract pricing) is accurate
Compliance Verification: Develop reports and monitoring tools to detect anomalies and discrepancies that could impact regulatory reporting, financial audits (e.g., SOX implications), or compliance with GPO contracts and payer rules
Revenue Leakage Identification: Specifically focus on validating the link between inventory consumption (SCM) and patient billing (RCM) data to prevent charge capture errors, ensuring accurate patient bills and maximizing appropriate reimbursement
Root Cause Analysis: Investigate and diagnose data errors originating in Oracle system configurations (EBS or Fusion), ensuring the integrity of critical data points like item master definitions, vendor codes, and pricing tiers
Standardized Operational Analytics and Reporting
KPI Development (Healthcare Specific): Define, standardize, and institutionalize critical operational metrics across the organization, such as:
Inventory Accuracy Rate for Critical Supplies
Procurement Compliance Rate (Off-Contract Spend)
Days of Supply (DOS) for high-value pharmaceuticals and implants
Cost-Per-Case Variance analysis (linking supply cost to procedure type)
Claims Denial Rate Analysis linked to operational inputs
High-Value Reporting: Develop and maintain standardized operational reports and interactive dashboards (e.g., Tableau, Power BI) focused on optimizing the efficiency and spend within the OR, Clinics, and centralized purchasing departments
Executive Insights: Create visually compelling and accurate reports for executive leadership on the overall health and financial performance driven by Oracle system outputs
Advanced Modeling and Process Optimization
Predictive Inventory Modeling: Develop sophisticated models to forecast demand volatility (e.g., flu season spikes, pandemic-related surges) for critical supplies and pharmaceuticals, minimizing shortages and excess waste
Revenue Cycle Modeling: Build predictive models to forecast cash flow, anticipate denials based on procurement/charging patterns, and prioritize RCM work queues based on expected return
Efficiency Optimization: Utilize machine learning techniques to optimize logistics (e.g., warehouse routing, supply replenishment schedules) and procurement processes (e.g., automated purchase order generation based on consumption velocity)
Collaboration and System Expertise
Serve as the technical data expert for functional Oracle teams (Finance, Clinical Operations, Materials Management), bridging the gap between business needs and data structure
Document data lineage, metric definitions, and model methodologies to ensure transparency and trust in derived insights across the enterprise
Qualification
Required
Master's degree in Data Science, Health Informatics, Statistics, Industrial Engineering, or a related quantitative field
2+ years of experience in a specialized data science, BI, or analytics role, working within a large healthcare system, hospital, or payer environment
Proven practical experience analyzing, querying, and understanding the complex data models within at least two of the following Oracle applications (EBS or Fusion): Oracle Supply Chain Management (SCM) & Inventory, Oracle Procurement, Oracle Revenue Cycle Management (RCM)
Expert-level SQL skills for complex database querying, including experience navigating Oracle tables/views
Proficiency in Python or R, with experience in statistical modeling, time series analysis, and machine learning libraries
Experience developing advanced visualizations using industry-leading tools (Tableau, Power BI)
Demonstrable experience working with large-scale Enterprise Data Warehouses (EDW) in a regulated environment
Preferred
Familiarity with clinical coding standards (CPT, ICD-10) as they relate to procedure costing and RCM data
Understanding of HIPAA, HITECH, and general healthcare data governance standards
Experience with advanced analytics applied to surgical services or procedural areas
Excellent collaboration and communication skills, with the ability to present complex analytical findings to clinical and executive audiences
Certification in Oracle applications or cloud platforms is a plus
Company
Community Health Systems
Community Health Systems is one of the nation’s leading healthcare providers.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$3.67B2025-07-28Post Ipo Debt· $1.79B
2024-05-21Post Ipo Debt· $1.12B
2023-12-11Post Ipo Debt· $750M
Leadership Team
Jason Johnson
SVP, Chief Accounting Officer
Hunter Phillips
Director Strategic Consumer Engagement
Recent News
Business Wire
2025-12-03
Morningstar.com
2025-11-05
PR Newswire
2025-10-28
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