Intern - DOE Characterization Engineering (Studying Master Degree)

At WD, 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, WD 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®, and WD_BLACK™.

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, WD is fueling a brighter, smarter future.

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Data Analysis & Engineering

• Perform engineering data analysis to identify trends, anomalies, and process insights from large-scale manufacturing or product datasets
• Apply statistical methods (including DOE principles) to support process characterization and optimization
• Translate data findings into actionable engineering recommendations

Data Mining & Automation

• Develop scripts and tools to automate repetitive data collection, processing, and reporting workflows
• Mine structured and unstructured datasets to uncover patterns relevant to product quality and process performance
• Build and maintain dashboards for real-time process monitoring and KPI tracking

Project Execution

• Execute assigned engineering projects end-to-end: scoping, data collection, analysis, and reporting
• Collaborate cross-functionally with Process, Quality, and Product Engineering teams
• Present findings and progress updates to engineering stakeholders in a clear and concise manner

REQUIRED:

• Currently pursuing a Master's degree in:
  • Electronics and communication engineering.
  • Data Science
  • Computer Science
  • Computer Engineering
  • Information Technology
  • Basic understanding of statistical concepts (e.g., regression, hypothesis testing, ANOVA)
• Hands-on experience with data analysis or programming projects (academic or personal)

PREFERRED:

• Good English proficiency (written and verbal) for cross-functional and global team communication
• Programming skills:
  • Python – data manipulation, automation, visualization (pandas, numpy, matplotlib, seaborn)
  • Power BI – dashboard creation and data storytelling
• Familiarity with SQL or data query languages
• Exposure to DOE, Six Sigma, or Lean methodologies is a plus
• Experience with JMP or Minitab for statistical analysis is advantageous

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WD 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.

WD 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 WD 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 WD Ethics Helpline or email [email protected].