Intern - DOE Characterization Engineering

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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