Advisory Data science Engineer

Introduction

Your Role And Responsibilities

Preferred Education

Required Technical And Professional Expertise

• Strong foundation in probability, statistics, hypothesis testing, and experimental design.
• Hands-on experience in creating plots and charts to find out insights, patterns, trends and outliers .
• Proficiency in Python and libraries like Pandas, NumPy, SciPy, scikit-learn, and matplotlib/plotly.
• Hnads - on experience in SQL, Statistics, Plotting (python or tools like tableau, powerBI), ML
• Experience in collaborating with design and reliability hardware teams.
• Knowledge of SQL to query large volume of wafer/chip level data and ability to manage large-scale structured/unstructured datasets.
• Experience in building data pipelines and dashboards for monitoring of test results and performance metrics and communicate findings through clear visualizations, reports, and presentations .
• Demonstated understanding to connect data insights to yield, defects, and performance factors
• Knowledge of Machine leaning for yield prediction, defect detection, and performance correlation and yied improevement
• Proficient analytical skills for problem-solving
• Excellent team player and good communication skills
  

Preferred Technical And Professional Experience