Oracle Enterprise Data Scientist - Remote

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 We are seeking a highly specialized and experienced Oracle Enterprise Data Scientist to drive data quality, standardization, and insight generation across our core Oracle operational suite. This role serves as the authoritative expert on translating complex, high-volume data from Oracle Supply Chain Management (SCM), Oracle Procurement, Oracle Revenue Cycle Management (RCM), and Oracle Inventory into actionable business intelligence. The successful candidate will be focused on ensuring absolute data integrity—a critical function in a regulated healthcare environment—and transforming raw transactional data into high-value operational reports, interactive dashboards, and predictive models that optimize cost-per-case, enhance inventory accuracy, and accelerate the revenue cycle. Essential Functions 1. 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 Fusion system configurations, ensuring the integrity of critical data points like item master definitions, vendor codes, and pricing tiers. 2. 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. 3. 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). 4. 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. Required Qualifications: Education: Master’s degree in Data Science, Health Informatics, Statistics, Industrial Engineering, or a related quantitative field. Experience: 2+ years of experience in a specialized data science, BI, or analytics role, working within a large healthcare system, hospital, or payer environment. Deep Oracle Domain Expertise (Mandatory): Proven practical experience analyzing, querying, and understanding the complex data models within at least two of the following Oracle Fusion applications: Oracle Supply Chain Management (SCM) & Inventory: Specific understanding of item masters, warehouse transactions, and consumption data. Oracle Procurement: Expertise in purchase order data, contract management, and vendor performance metrics. Oracle Revenue Cycle Management (RCM): Understanding of charge capture, billing, and the data linkage to operational