Principal Data Automation Engineer/ Data Scientist, Supply Chain

Oracle Oracle · Enterprise · Nashville, TN +1

This Principal Data Automation Engineer/Data Scientist role at Oracle Cloud Infrastructure focuses on leveraging AI and automation to transform global supply chain operations. The role involves designing and implementing advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions to improve efficiency and decision-making. Key responsibilities include developing ML models for forecasting and optimization, identifying automation opportunities, building reusable frameworks, and evaluating new AI technologies within the supply chain context.

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
  • data engineering
  • automation
  • AI/ML
  • ETL/ELT pipelines
  • data modeling
  • orchestration frameworks
  • cloud-based data platforms
  • predictive analytics
  • business intelligence tools
  • visualization tools
  • forecasting
  • inventory management
  • manufacturing operations
  • logistics
  • supply planning concepts
  • cloud technologies
  • distributed systems architectures
  • analytical and problem-solving abilities
  • communication skills
  • stakeholder influence

Nice to have

  • Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP)
  • Oracle Analytics Cloud
  • Tableau
  • Power BI

What the JD emphasized

  • 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.
  • Knowledge of AI/ML techniques, predictive analytics, and automation frameworks.

Other signals

  • design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions
  • develop AI and machine learning models that improve forecasting, inventory optimization, supply planning, logistics execution, manufacturing readiness, and operational performance
  • identify opportunities to eliminate manual processes through automation, predictive analytics, and intelligent workflows
  • build reusable automation frameworks and data products that improve operational efficiency and business scalability
  • evaluate emerging AI and automation technologies and recommend practical applications across supply chain operations