Western Digital Data Scientist 

Malaysia, Kuala Lumpur 

388156850

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

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) and prompt engineering for factory/engineering usage
• Deploy 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, 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.

Qualification

• Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or relevant work experience and education background.
• We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience.
• Preferably minimum 3-4 years of working experience in related field (Generative-AI & Chatbot).

Skills

• Required: Python, LLM, Prompt Engineering, Chatbot, Generative -AI, Augmented Reality, Computer Vision
• Added Advantage: Agentic AI and Multi-Agent architecture.
• Practical experience in application of ML and Deep Learning algorithms.

• SQL, Relational databases, Big Data platforms, AWS Redshift, PRESTO, ETL, SSIS etc.
• Some experience with web front end development: .NET, VB.NET, C#, HTML/CSS, JavaScript, NodeJS, JQuery & Angular
• Ability to learn quickly and become productive on new technologies, APIs, development languages and frameworks.
• Experience in data mining, data wrangling, and handling JSON, CSV files.
• Hands on experience with Docker, Kubernetes, Edge computing and AWS.. etc
• Experience with data visualization methods (Spotfire, PowerBI, Grafana)
• The ability to problem solves and provide complex solutions with minimal supervision
• Knowledge of Agile development, SCRUM and Application Lifecycle Management
• Excellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives. A great team player.
• Self-motivated, strong ownership and ability to work independently with minimal supervision