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
Qualifications :
REQUIRED:
- Currently pursuing a Masters degree in:
- 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
Additional Information :
#LI-BI1
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 to advise us of your accommodation 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 .
Remote Work :
No
Employment Type :
Intern
ESSENTIAL DUTIES AND RESPONSIBILITIES:Data Analysis & EngineeringPerform engineering data analysis to identify trends anomalies and process insights from large-scale manufacturing or product datasetsApply statistical methods (including DOE principles) to support process characterization and optimiza...
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
Qualifications :
REQUIRED:
- Currently pursuing a Masters degree in:
- 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
Additional Information :
#LI-BI1
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 to advise us of your accommodation 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 .
Remote Work :
No
Employment Type :
Intern
View more
View less