Principal Data Scientist – Supply Chain Operations

About the role

The Principal Data Automation Engineer will design, develop, and implement advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions that improve efficiency, scalability, and decision-making across OCI's global supply chain organization.

Responsibilities

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

Requirements

• 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.
• 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.
• 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 and visualization tools such as 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.

Qualifications

• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills with the ability to explain technical concepts to both 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.