Principal Data Scientist – Supply Chain Operations

Quick Facts

• Principal Data Automation Engineer (IC4)
• Reports to Senior Director of Data Automation, Supply Chain

Description

Oracle Cloud Infrastructure (OCI) is seeking a highly motivated Principal Data Automation Engineer to accelerate the digital transformation of global supply chain operations. You will design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions that improve efficiency, scalability, and decision-making. As a senior individual contributor, you will partner with cross-functional teams across supply planning, manufacturing, sourcing, logistics, capacity planning, data center operations, and engineering.

Responsibilities

• Data Automation & AI Solutions
  • Design, build, and maintain scalable data automation solutions for global supply chain operations.
  • Develop AI and machine learning models for forecasting, inventory optimization, supply planning, logistics execution, manufacturing readiness, and operational performance.
  • Identify opportunities to eliminate manual processes using automation, predictive analytics, and intelligent workflows.
  • Build reusable automation frameworks and data products to improve operational efficiency and business scalability.
  • Evaluate emerging AI and automation technologies and recommend practical applications.
• Data Engineering & Analytics
  • Design and develop robust data pipelines, models, and architectures for real-time operational reporting and advanced analytics.
  • Build scalable datasets for forecasting, planning, inventory management, supplier performance, and deployment execution.
  • Ensure data quality, governance, reliability, and accessibility across enterprise systems.
  • Develop dashboards, scorecards, and self-service analytics for operational visibility.
  • Integrate data across Oracle Fusion Cloud Applications, operational systems, and cloud platforms.
• Operational Intelligence
  • Develop operational dashboards, KPI frameworks, and control tower capabilities for end-to-end supply chain visibility.
  • Create intelligent alerting mechanisms to proactively identify risks, exceptions, and bottlenecks.
  • Build predictive models for scenario planning, capacity management, supplier performance, and deployment readiness.
  • Translate complex operational data into actionable insights.
• Cross-Functional Collaboration
  • Partner with Supply Planning, Procurement, Manufacturing, Logistics, Capacity Management, and Data Center Operations teams.
  • Collaborate with product managers, engineers, and business stakeholders to define analytics requirements and deliver data solutions.
  • Provide technical guidance and subject matter expertise.
  • Influence best practices for data engineering, analytics, and automation.
• Continuous Improvement
  • Drive improvements in data quality, automation, reporting accuracy, and operational efficiency.
  • Simplify processes, reduce technical debt, and improve maintainability.
  • Document technical designs, data models, and automation solutions.
  • Stay current on emerging technologies in AI, machine learning, cloud computing, and data engineering.

Experience

Required Qualifications

• 3-5+ 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.
• Demonstrated ability to independently lead complex technical initiatives from concept through implementation.
• Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations is preferred.

Technical Skills

• 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 Oracle Analytics Cloud, Tableau, or Power BI.
• Familiarity with Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) is preferred.
• Understanding of forecasting, inventory management, manufacturing operations, logistics, and supply planning concepts.
• Experience working with cloud technologies and distributed systems architectures is a plus.

Education and/or Experience: 8 years of experience in data science, machine learning, data engineering, or related field; Bachelor’s Degree in Data Science, Mathematics, Statistics, Computer Science; or Master’s Degree in a related field.

Professional Skills

• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills to explain technical concepts to technical and business audiences.
• Ability to manage multiple priorities in a fast-paced, rapidly evolving environment.
• Demonstrated ability to influence stakeholders and drive technical solutions without direct managerial authority.
• Self-motivated with a passion for automation, continuous improvement, and innovation.

Benefits

• Medical, dental, and vision insurance
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position; accrued vacation is provided to other eligible employees
• 11 paid holidays
• Paid sick leave
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance