Principal Data Automation Engineer/ Data Scientist, Supply Chain

Oracle Oracle · Enterprise · Santa Clara, CA +1

This Principal Data Automation Engineer role focuses on designing, developing, and implementing AI-enabled automation, predictive analytics, and machine learning models to improve efficiency and decision-making within Oracle's global supply chain operations. The role involves building scalable data pipelines, developing ML models for forecasting and optimization, and creating operational dashboards and intelligent workflows.

What you'd actually do

  1. Design, build, and maintain scalable data automation solutions supporting OCI's global supply chain.
  2. Develop AI and machine learning models that improve forecasting, inventory optimization, supply planning, logistics execution, manufacturing readiness, and operational performance.
  3. Identify opportunities to eliminate manual processes through automation, predictive analytics, and intelligent workflows.
  4. Build reusable automation frameworks and data products that improve operational efficiency and business scalability.
  5. Evaluate emerging AI and automation technologies and recommend practical applications across supply chain operations.

Skills

Required

  • SQL
  • Python
  • ETL/ELT pipelines
  • data modeling
  • orchestration frameworks
  • cloud-based data platforms
  • AI/ML techniques
  • predictive analytics
  • automation frameworks
  • business intelligence and visualization tools

Nice to have

  • Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP)
  • forecasting
  • inventory management
  • manufacturing operations
  • logistics
  • supply planning concepts
  • cloud technologies
  • distributed systems architectures

What the JD emphasized

  • AI/ML
  • automation
  • predictive analytics
  • machine learning models
  • supply chain

Other signals

  • AI-enabled automation
  • predictive analytics
  • machine learning models
  • intelligent workflows