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Entry-Level Data Scientist (Semiconductor Engineering)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Entry-Level Data Scientist (Semiconductor Engineering & Automation): Analyze semiconductor manufacturing test data, develop predictive and diagnostic models, and automate reporting and production-line quality solutions with an accent on machine learning, data pipelines, and yield improvement. Focus on identifying anomalies and root causes, building dashboards, and deploying AI/ML solutions for complex engineering problems.

Location: Kuala Lumpur, Malaysia

Company

hirify.global develops semiconductor technologies and manufacturing solutions.

What you will do

  • Analyze wafer sort, final test, and inline process data to identify trends, anomalies, and root causes.
  • Develop dashboards and visualizations for monitoring metrics across product and test stages.
  • Automate data pipelines and reporting tools to support continuous improvement.
  • Collaborate with Product, Test, Process, Yield, and Quality Engineers and suppliers to integrate solutions with production-line systems.
  • Develop and deploy AI/ML solutions for non-standard semiconductor engineering problems.
  • Support production-line quality shield deployment and ongoing sustainment.

Requirements

  • Bachelor’s degree in Data Science, Electrical Engineering, Computer Science, Statistics, or a related field.
  • Strong foundation in statistics, data analysis, and machine learning.
  • Proficiency in Python or R and experience with pandas, NumPy, scikit-learn, and matplotlib.
  • Familiarity with SQL and large-scale databases.
  • Ability to interpret complex datasets and communicate findings clearly to engineering teams.
  • Strong problem-solving skills, attention to detail, and a collaborative mindset.

Nice to have

  • Understanding of semiconductor manufacturing and test processes.
  • Experience with Tableau or Power BI.
  • Internship or academic project experience in manufacturing, electronics, or data analytics.

Culture & Benefits

  • Cross-functional collaboration with semiconductor engineering teams and suppliers.
  • Training, guidance, and mentorship for early-career development.
  • Opportunity to work at the intersection of semiconductor technology, advanced analytics, and artificial intelligence.

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