Data Scientist at Western Digital

Petaling Jaya, Selangor, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM, Prompt Engineering, Chatbot, Generative-AI, Augmented Reality, Computer Vision, SQL, Relational Databases, Big Data Platforms, AWS Redshift, ETL, Data Visualization, Docker, Kubernetes, Edge Computing

Industry

Computer Hardware Manufacturing

Description

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, WD_BLACK™, and SanDisk® Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description 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. Qualifications 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 2-3 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 Additional Information Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email [email protected].

Responsibilities

Develop new data science solutions to improve productivity and operations metrics. Collaborate with cross-functional teams to integrate AI/ML algorithms and develop prototypes.