Principal Data Scientist, Supply Chain Operations

What you'll do

• Design and build scalable data automation solutions and reusable frameworks to improve supply chain efficiency.
• Develop machine learning models for forecasting, inventory optimization, and manufacturing readiness.
• Build robust data pipelines and architectures to support real-time reporting and advanced analytics.
• Create operational dashboards, KPI frameworks, and intelligent alerting systems to identify risks and bottlenecks.
• Integrate data across Oracle Fusion Cloud Applications and other enterprise systems to ensure high data quality.
• Translate complex supply chain data into actionable insights for long-term planning and day-to-day execution.
• Provide technical guidance on automation initiatives and influence best practices for data engineering across the organization.

What we're looking for

• 7–10+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
• Experience designing and developing scalable data pipelines, analytics platforms, and automation solutions.
• Proven experience delivering data products and dashboards supporting cross-functional business operations.
• Experience applying predictive analytics or machine learning to solve operational or supply chain challenges.
• Strong 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.
• Knowledge of AI/ML techniques, predictive analytics, and automation frameworks.
• Experience with business intelligence 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 (SCM, Procurement, Planning, ERP) is preferred.
• Experience working with cloud technologies and distributed systems architectures is a plus.