Scientist 3, Data Science job opportunity at Western Digital.



Date2026-03-30T01:43:41.019Z bot
Western Digital Scientist 3, Data Science
Experience: General
Pattern: Full-time
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Data Science

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loacation Petaling Jaya, Selangor, Malaysia
loacation Petaling Jaya,..........Malaysia
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Job DescriptionAs a Data Scientist, you will lead digital transformation initiatives in supply chain and procurement areas, work closely with business leaders, operations teams, and IT stakeholders, develop and deploy advanced analytics solutions to enhance supply chain efficiency, forecast demand, optimize inventory, and automate decision-making. You will also drive program execution, ensuring that insights and automation solutions are seamlessly integrated into business operations. This role requires strong analytical expertise, strategic thinking, and program management skills.ESSENTIAL DUTIES AND RESPONSIBILITIES:Demand Forecasting & PlanningDevelop predictive demand forecasting models using time-series analysis, ML, and deep learning.Improve forecast accuracy by integrating external data sources (macroeconomic trends, supplier risks).Supply Chain Process Automation & OptimizationDesign and deploy robotic process automation (RPA) tools across supply chain and procurement processes.Build end-to-end data streaming system for visualization.Leverage optimization algorithms for procurement, supplier selection, and sourcing strategies.Automate supply risk prediction models to proactively mitigate disruptions.Optimize transportation networks, warehouse operations, and route planning using ML-based models.Implement AI-driven cost and sustainability optimization models.Intelligent Decision Support & AI GovernanceBuild AI-powered decision support systems for supply chain leaders.Establish explainable AI frameworks to ensure transparency in supply chain decision-making.Communicate data-driven recommendations to business and executive stakeholders via dashboards and reports Program Management & Stakeholder EngagementLead cross-functional programs to drive AI and automation adoption in supply chain processes.Manage project timelines, resource allocation, and risk mitigation for AI/ML-driven supply chain initiatives.Drive change management and process adoption strategies to ensure successful deployment of AI solutions.

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