Principal Data Scientist, Supply Chain Operations

What you'll do

• Design and build scalable data automation solutions and reusable frameworks to improve global supply chain efficiency.
• Develop machine learning models to optimize forecasting, inventory management, and manufacturing readiness.
• Build robust data pipelines and architectures to support real-time operational reporting and advanced analytics.
• Create automated dashboards, scorecards, and control towers to provide end-to-end visibility into supply chain performance.
• Implement intelligent alerting mechanisms to proactively identify operational risks, exceptions, and bottlenecks.
• Integrate data across Oracle Fusion Cloud Applications and other enterprise systems to ensure data quality and governance.
• Translate complex operational data into actionable insights for long-term planning and day-to-day execution.
• Identify opportunities to eliminate manual processes through predictive analytics and intelligent workflows.

What we're looking for

• Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
• Master's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
• 8 years of experience in data science, machine learning, data engineering, or a related field.
• 3 to 5+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
• Proficiency in SQL and Python for data engineering, automation, and analytics.
• Experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based data platforms.
• Experience with business intelligence and visualization tools such as Oracle Analytics Cloud, Tableau, or Power BI.
• Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations (preferred); familiarity with Oracle Fusion Cloud Applications (preferred).