ESSENTIAL DUTIES AND RESPONSIBILITIES
- Collect clean and analyze large sets of equipment data (e.g. vacuum pressure logs PM intervals chamber parameters uptime/downtime logs).
- Develop dashboards and visualizations (Power BI Tableau etc.) for monitoring KPIs such as OEE (Overall Equipment Efficiency) MTBF (Mean Time Between Failures) PM Compliance and Chamber Performance.
- Detect anomalies and trends that may indicate impending machine failures or deviations from process and yield specifications.
- Build predictive models for failure forecasting or maintenance scheduling using machine learning/statistical techniques.
- Perform root cause analysis using data-driven approaches and support improvement projects.
- Develop automated reporting scripts (e.g. using Python SQL) to streamline routine tasks.
- Assist in integration of smart factory tools (IoT sensors real-time alerts MES/SPC systems).
- Documents (FMEA/Training material /SOP/WI) generation update and maintenance.
- Lead KPI projects on machine performance improvement cost reduction yield quality capacity and productivity improvements.
- Work with Process Yield and R&D on new material and package development for machine related items.
- Machine/tooling buy-off and standardization.
- Support other function teams for key projects.
Qualifications :
REQUIRED
- Bachelors Degree or higher in Data Science Engineering or a related field.
- Fresh graduates are encouraged to apply.
(Candidates with relevant internship or project experience will have an added advantage.) - Detail and action oriented self-started ability to work independently and to deliver high quality solutions.
- Ability to work effectively with multi-functional team member with good communication skills.
SKILLS
- Machine/ mechanical knowledge in design and optimization.
- Expertized in data analysis and problem solving
- Be good at QC skill such as 7QC tools MSA SPC 8D report DOE etc.
- Familiar with reporting/data analysis software.(PPT excel JMP AUTOCAD)
- Good verbal and written in English.
- Good communication and collaboration skills.
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 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 .
Remote Work :
No
Employment Type :
Full-time