Principal Data Scientist – Supply Chain Operations

Quick Facts

• Role: Principal Data Scientist – Supply Chain Operations

• Focus: Data automation, AI/ML, and operational intelligence for global supply chain

Description

You will design and build scalable data automation solutions and AI-enabled analytics to improve forecasting, inventory optimization, supply planning, logistics execution, manufacturing readiness, and operational performance. You will develop data pipelines, dashboards, predictive models, and reusable data products while ensuring data quality, governance, reliability, and accessibility. You’ll partner with supply planning, manufacturing, sourcing/procurement, logistics, capacity planning, data center operations, and engineering teams to translate business needs into data-driven automation and decision support.

Responsibilities

• Design, develop, and maintain scalable data automation solutions for global supply chain operations

• Build AI/ML models for forecasting, inventory optimization, planning, logistics execution, and operational performance

• Identify and eliminate manual processes using predictive analytics and intelligent workflows

• Create reusable automation frameworks and data products for efficiency and scalability

• Build robust data pipelines, architectures, and scalable datasets for real-time reporting and advanced analytics

• 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

• Create operational dashboards, KPI frameworks, and control-tower capabilities for end-to-end visibility

• Implement intelligent alerting to proactively detect operational risks, exceptions, and bottlenecks

• Build predictive models for scenario planning, capacity management, supplier performance, and deployment readiness

• Translate complex operational data into actionable insights for day-to-day execution and long-term planning

• Partner cross-functionally to define analytics requirements and deliver impactful data solutions

• Provide technical guidance and influence best practices for automation and enterprise data projects

• Drive continuous improvement in data quality, reporting accuracy, automation, and maintainability

• Document technical designs, data models, and automation solutions

• Stay current with emerging AI, ML, cloud computing, and data engineering technologies

Benefits

• Medical, dental, and vision insurance

• Short-term and long-term disability

• Life insurance and AD&D (including supplemental life)

• Health care and dependent care Flexible Spending Accounts

• Pre-tax commuter and parking benefits

• 401(k) Savings and Investment Plan with company match

• Flexible Vacation and paid holidays; paid sick leave

• Paid parental leave and adoption assistance

• Employee Stock Purchase Plan

• Voluntary benefits (e.g., auto, homeowner, pet insurance)

• Financial planning and group legal