Bachelor's degree in data science or related field
Proficiency in python with pandas and scikit-learn
Strong foundation in statistics and machine learning
This role offers a unique opportunity to apply advanced analytics and AI to solve complex challenges in semiconductor product development and yield improvement
Job Summary
This role offers a unique opportunity to apply advanced analytics and AI to solve complex challenges in semiconductor product development and yield improvement.
You will collaborate with cross-functional engineering teams to analyze wafer sort and test data, developing models that drive process improvements and product reliability.
The position includes receiving training, guidance, and mentorship to accelerate your career growth while utilizing cloud compute resources for large-scale data processing.
Matching Summary
This role offers a unique opportunity to apply advanced analytics and AI to solve complex challenges in semiconductor product development and yield improvement.
Skills & Requirements
Must-have
Bachelor's degree in Data Science or related field
Proficiency in Python with pandas and scikit-learn
Strong foundation in statistics and machine learning
Experience analyzing high-volume manufacturing data
Ability to build predictive models for yield improvement
Nice-to-have
Familiarity with semiconductor manufacturing processes
Experience with data visualization tools like Tableau
Knowledge of Generative AI and Large Language Models
Exposure to cloud platforms such as AWS or Azure
Internship experience in electronics or data analytics
Key Requirements
Bachelor's degree required
Proficiency in SQL and large-scale databases
Strong problem-solving and attention to detail skills