Principal Data Scientist - Supply Chain
Core
Design, build, and maintain scalable data automation solutions and AI/ML models to optimize global supply chain operations, including forecasting, inventory management, and logistics.
Role type
Principal Data Scientist (Supply Chain & Automation)
Builds
Scalable data pipelines, AI/ML models, automation frameworks, and operational dashboards for global supply chain functions.
Domain
Supply Chain, Manufacturing, Logistics, Cloud Infrastructure
Required skills
Predictive analytics, Machine learning, Data engineering, ETL/ELT pipeline design, Data modeling, Cloud platform architecture, SQL, Python, Business intelligence visualization, Supply chain planning concepts, Inventory management, Forecasting, Automation framework development, Code review, Troubleshooting, Production-grade software development
Preferred skills
GenAI model building (training, fine-tuning, monitoring), Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP), Distributed system architectures, Innovation in processes/technologies
Technologies
Oracle Analytics Cloud, Tableau, Power BI, Oracle Fusion Cloud, Python, SQL, Cloud platforms, ETL tools, AI/ML frameworks
Responsibilities
Design and develop robust data pipelines and architectures for real-time operational reporting. Build predictive models for scenario planning, capacity management, and supplier performance. Create intelligent alerting mechanisms to surface operational risks and bottlenecks. Develop dashboards and KPI frameworks for end-to-end supply chain visibility. Collaborate with engineering teams to integrate data across enterprise systems and cloud platforms. Translate complex operational data into actionable insights for execution and long-term planning. Drive improvements in data quality, automation, and reporting accuracy. Document technical designs and data models to support scalability.
Seniority
Principal, hands-on IC with strategic influence
