Scientist 1, Data Science job opportunity at Western Digital.



Date2026-04-14T01:41:57.203Z bot
Western Digital Scientist 1, Data Science
Experience: General
Pattern: Full-time
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Salary:
Status:

Data Science

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degreeHigh School (S.S.C.E)
loacation Petaling Jaya, Selangor, Malaysia
loacation Petaling Jaya,..........Malaysia
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Job DescriptionSummary:The Data Science team is a leading an internal SMART factory implementation. The selected candidate will be a part of a dynamic team working closely with factory operations, engineering and platform development team to deliver factory of the future. This is a unique opportunity to be part of Western Digital Industry 4.0 journey and change the way technology is used.Responsibilities Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.Researching and developing scalable Generative-AI solutions using AWS Bedrock platform, Large Language Models (LLM), MCP Server, n8n and prompt engineering for factory/engineering usageDeploy models and solutions using DevOps/MLOps tools such as Docker, Kubernetes, MLflow, AWS & Edge to ensure scalability and reproducibility.Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, MCP, n8n, AR, Computer vision and Visualization/Web App) independently and delivered on time.Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.Translate User Request into Analytics Solution from a system perspective. Prepare and deliver presentations with data visualizations and business conclusions.Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.

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