Master 's Fresh Grad Data Scientist jobs at Western Digital in Thailand

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work on a project-based assignment focused on developing Spotfire analysis prototypes using data available in Redshift, with the goal of creating AI-assisted prediction models for selected products and/or factory KPIs
• Support the development of the lights-out department's measurement tools by leveraging parameter big data modeling to enable predictive, prescriptive, and diagnostic analytics.
• Assist in collecting, cleaning, and preprocessing large datasets to ensure accuracy and consistency for analysis
• Support the development and testing of machine learning models under the guidance of senior data scientists.
• Help create and maintain dashboards and visualizations in Spotfire to effectively communicate results to stakeholders.
• Document analysis processes, methodologies, and findings to ensure knowledge sharing within the team
• Research and present emerging data science tools, techniques, and best practices that could improve current systems
• Collaborate with cross-functional teams, including engineers and operations, to translate business needs into analytical solutions

REQUIRED:

• Pursuing a bachelor's in Software Engineering, Computer Engineering/Science, Data science, Digital Engineering, Robotics and Artificial Intelligence Engineering or a related field
• Internship student in the cooperative education program (CWIE) is required to have an internship period of at least 4-6 months

SKILLS:

• Experience in machine learning & AI project
• Skills in SQL, Python, and R for custom analysis and data visualization
• Skills in Project Management
• Knowledge in Statistical Analysis
• Demonstrate a good level of English proficiency

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

The Principal Engineer for Data Analytics in HGA Manufacturing Engineering will lead data-driven initiatives to optimize manufacturing processes, improve quality, and enhance efficiency within HGA production. This role is crucial for developing and implementing advanced analytics strategies, interpreting complex data sets, and providing actionable insights to support decision-making in HGA manufacturing.

• As an expert on data analytic for HGA operation to support since ad hoc data gathering, data analysis, data visualization and create effective data analysis platform for fast and precise responding to special and routine requirement
• Design, develop, and implement custom software tools and applications for data analytics strategies that align with HGA manufacturing goals and key performance indicators (KPIs).
• Collaborate with engineering and production teams to define software requirements, user interfaces, and functionalities tailored to manufacturing needs.
• Analyze production data to identify trends, patterns, and anomalies that impact HGA yield, quality, and cycle time including defect and failure data to identify and mitigate recurring issues.
• Create predictive models to forecast manufacturing outcomes and provide proactive recommendations for process adjustments.
• Lead cross-functional data analytics projects from conception through to implementation, ensuring alignment with manufacturing engineering and business goals.
• Develop and implement process improvements and data-driven solutions to optimize manufacturing yield, reduce waste, and increase efficiency.
• Lead root cause analysis of manufacturing issues using statistical techniques with actionable insights to engineering and production teams.

REQUIRED:

• Bachelor’s degree or higher in Software Engineering, Data Science, Computer Science/Engineering, or a related field
• 5+ Years experience in data science, data analytic or related field
• Knowledge on software development languages (Python/R coding, Java, C++), database management (SQL, NoSQL), data analytics tools, and data visualization platforms.

PREFERRED:

• Eager on learning and self-development
• Experience in electronics or HDD industry

SKILLS:

• Project management abilities,
• Problem-solving,
• Cross-functional collaboration

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work on a project-based assignment to develop a Spotfire analysis landing page that supports routine engineering statistical data analytics and visualization
• Design the Spotfire statistical analysis page to be broadly accessible for any engineer, enabling the use of data from Redshift and local datasets, reducing the need for additional statistical analysis software licenses
• Assist in collecting, cleaning, and preparing datasets to ensure accuracy and quality for analysis
• Support the development and validation of basic statistical and machine learning models under the guidance of senior team members
• Help create interactive dashboards and visualizations to communicate insights to engineers and stakeholders

REQUIRED:

• Pursuing a bachelor's in Software Engineering, Computer Engineering/Science, Data science, Digital Engineering or a related field
• Internship student in the cooperative education program (CWIE) is required to have an internship period of at least 4-6 months

SKILLS:

• Skills in SQL, Python, and R for custom analysis and data visualization
• Skills in Project Management
• Knowledge in Statistical Analysis
• Demonstrate a good level of English proficiency

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Assist in the development, testing, and maintenance of HDD manufacturing software applications using C#.
• Write and optimize SQL queries to manage and manipulate data in MS SQL databases.
• Collaborate with senior developers and cross-functional teams to understand system requirements and deliver solutions.
• Troubleshoot and resolve software issues in a timely manner.
• Participate in code reviews and contribute to continuous improvement of coding standards.
• Document software functionality and technical processes.
• Software deployment and evaluation of users’ feedback.
• Comply with project plans and industry standards.
• Work in a team with minimum supervision on a tight project deadline.

REQUIRED:

• BSc (Hons) in Computer Science or Information Technology ( or equivalent)
• Good knowledge in C#.NET, VB.NET, and LINQ
• Understanding of software development lifecycle and methodologies.
• Understanding of development to support abstract factory pattern with an object-oriented app approach
• Strong problem-solving skills and attention to detail.
• Good communication skills and ability to work in a team environment.
• Good knowledge of MS SQL Server
• Experience in DevOps (CI/CD)
• Familiar with containerized development (aka the Docker approach) and microservices architecture

PREFERRED:

• Interested in manufacturing-related environment
• Knowledge of other programming languages or frameworks
• Familiarity with version control systems like Git.
• Good in preparing test cases and executing test plan
• Ability to document requirements and specifications
• Experience in AI/ML implementation is optional
• Possess full-stack development skills

SKILLS:

• Demonstrate a good level of English proficiency (written/verbal).
• Strong listening, communication, interpersonal and relational skills to develop a good relationship within the organization
• Self-motivated with the ability to multitask and work collaboratively in a team environment

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
• Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
• Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
• Researching and developing scalable computer vision and machine learning solutions for complex problems
• Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
• Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement
• Prepare and deliver presentations with data visualizations and business conclusions

REQUIRED:

• Bachelor’s degree in Computer Engineering, Software Engineering, Data Science, and Robotics & AI Engineering with relevant industry or academic experience in data analytics
• Proficiency in SQL, Big Data platforms, and cloud services (e.g., AWS)
• Strong background in applied statistics, statistical modeling, and practical experience with ML and AI algorithms.
• Required: Python, Tensorflow framework, Computer Vision
• Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)
• Strong communication, analytical, and problem-solving skills.

PREFERRED:

• Knowledge of AI/ML model development and lifecycle management.
• Experience with cloud-based solutions and collaborative tools (e.g., Github, Docker).
• Experience in Computer Vision and image processing techniques.
• Experience in web development.
• Familiarity with advanced machine learning techniques (e.g., neural networks, NLP, deep learning).
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Proactive approach to learning and implementing emerging technologies.

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Capable of developing and deploying data science solutions to support analytics and digital transformation initiatives
• Develops projects to monitor and analyze trends in HDD, Head, and Media parametric performance
• Creates solutions to support failure analysis by identifying possible causes using machine learning or other analytical tools
• Develops tools to automate the qualification result analysis of head, media, and code
• Supports yield improvement and reliability tracking for HDD

REQUIRED:

• Pursuing a bachelor's or master's degree in Data Science, Computer science , or a related field

PREFERRED:

• Time management and project execution
• Demonstrate a good level of English proficiency; internship period must be at least 4-6 months

SKILLS:

• Proficient in programming languages such as Python, SQL, Tableau, Power BI, Spotfire, Big Data platforms, AWS Redshift, etc.
• Familiar with some of the following Statistical Analysis & Modelling Tools: JMP, Minitab , SPSS, Enterprise Miner, Enterprise Guide, SAS coding
• Knowledge or experience with data visualization methods
• Self-motivated, self-directed, and ability to work well with people
• Excellent communication (written and verbal) and interpersonal skills

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Assist in designing and developing AI models - focus on pattern recognition and GenAI augmented feature enhancement.
• Collaborate with data scientists, engineers and IT to integrate AI technologies into our systems.
• Conduct data analysis and ensure the quality of data used in machine learning models.
• Participate in code reviews and maintain standard coding practices.
• Help in researching new AI trends and techniques that could improve our current systems.

REQUIRED:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• Basic understanding of machine learning algorithms and principles.
• Remark: Only for internship with duration of 6 months.
• Candidate is expected to work on site.

PREFERRED:

• Excellent problem-solving skills and ability to work in a team environment.
• Strong communication skills - Proficient in written and spoken English.
• A keen interest in artificial intelligence.

SKILLS:

• Strong programming skills in Python, R, or Java.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-learn, Pandas).