Data Scientist at Western Digital

Petaling Jaya, Selangor, Malaysia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data Storage, AIIndustries

Requirements

Masters or Bachelor Degree in Computer Science, Data Science, Computer Engineering, Information Technology, or relevant work experience and education background (equivalent combination considered)
Preferably minimum 2-3 years of working experience in related field (Generative-AI & Chatbot)
Required skills: Python, LLM, Prompt Engineering, Chatbot, Generative-AI, Augmented Reality, Computer Vision
Added advantage: Agentic AI and Multi-Agent architecture; practical experience in ML and Deep Learning algorithms
SQL, Relational databases, Big Data platforms, AWS Redshift, PRESTO, ETL, SSIS
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
Experience with data visualization methods (Spotfire, PowerBI, Grafana)
Ability to problem solve and provide complex solutions with minimal supervision
Knowledge of Agile development, SCRUM and Application Lifecycle Management
Excellent communications and presentation skills

Responsibilities

Work collaboratively with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc., to develop new data science solutions that improve productivity and operations metrics
Research and develop 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 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
Meet users, gather user requirements and communicate requirements to technical team members for technical solution design, feasibility study & planning
Translate User Requests into Analytics Solutions 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

Skills

Generative AI

AWS Bedrock

Large Language Models

LLM

Prompt Engineering

Docker

Kubernetes

MLflow

MLOps

DevOps

Computer Vision

Image Analytics

Chatbot

Western Digital

Provides data storage solutions and services

About Western Digital

Western Digital provides a variety of data storage solutions, including Network Attached Storage (NAS), Storage Area Network (SAN), private cloud, and hyper-converged infrastructure. Their products are designed to help businesses manage and store data efficiently and reliably. For example, their all-flash arrays are optimized for high input/output applications, while the JetStor brand offers cost-effective NAS and SAN arrays that support multiple host ports for improved performance. What sets Western Digital apart from its competitors is its extensive experience in the data storage market and its ability to cater to a wide range of clients, from large corporations to small businesses. The company's goal is to deliver high-value storage solutions that meet the diverse needs of its customers, ensuring they have the tools necessary for effective data management.

San Jose, CaliforniaHeadquarters

2014Year Founded

$927.9MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

10,001+Employees

Benefits

Paid sick leave & vacation time

Medical/dental/vision insurance

Life, accident, & disability insurance

Tax-advantaged flexible spending and health savings accounts

Employee assistance program

Tuition reimbursement

Employee stock purchase plan

Western Digital Savings 401(k) Plan

Risks

Seagate's HAMR technology may outperform Western Digital's ePMR in high-capacity HDDs.

Toshiba's HAMR and MAMR technologies intensify competition in the storage market.

Focus on consumer products may neglect enterprise client needs, risking market share.

Differentiation

Western Digital leads in high-capacity HDDs with 32TB UltraSMR and ePMR technology.

The company offers diverse storage solutions, including NAS, SAN, and private cloud.

Western Digital's SanDisk and WD_BLACK brands target creators and gamers effectively.

Upsides

Growing demand for high-capacity storage driven by AI and data-intensive applications.

Recent product launches cater to the expanding gaming and content creation markets.

Advancements in ePMR technology enhance Western Digital's competitive edge in HDDs.

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