Entry-Level Data Scientist (Semiconductor)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Entry-Level Data Scientist (Semiconductor): Applying data science and automation to solve complex engineering challenges and improve semiconductor manufacturing processes with an accent on predictive modeling and diagnostic analysis. Focus on automating data pipelines, developing AI/ML solutions for non-standard problems, and improving product yield performance.
Location: Kuala Lumpur, Malaysia
Company
is a global leader in semiconductor technology, focusing on advanced analytics and artificial intelligence to enhance manufacturing processes.
What you will do
- Analyze wafer sort, final test, and inline process data to identify trends, anomalies, and root causes.
- Develop dashboards and visualizations to monitor key metrics across product and test stages.
- Automate data pipelines and reporting tools to support continuous improvement initiatives.
- Collaborate with cross-functional engineering teams and suppliers to integrate functions with production line systems.
- Innovate and develop AI/ML solutions for non-standard engineering problems.
Requirements
- Bachelor’s degree in Data Science, Electrical Engineering, Computer Science, Statistics, or related field.
- Strong foundation in statistics, data analysis, and machine learning.
- Proficiency in Python or R, including libraries such as pandas, NumPy, scikit-learn, and matplotlib.
- Familiarity with SQL and working with large-scale databases.
- Location: Must be based in Kuala Lumpur.
Nice to have
- Understanding of semiconductor manufacturing and test processes.
- Experience with data visualization tools such as Tableau or Power BI.
- Internship or academic project experience in manufacturing, electronics, or data analytics.
Culture & Benefits
- Training, guidance, and mentorship to accelerate professional career growth.
- Opportunity to work at the intersection of semiconductor technology, advanced analytics, and AI.
- Collaboration within a cross-functional environment consisting of Product, Test, Process, Yield, and Quality Engineers.
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