Assembly Engineering Intern (Data Science)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Assembly Engineering Intern (Data Science): Contributing to data-driven projects within semiconductor manufacturing with an accent on collecting, analyzing, and interpreting large datasets. Focus on developing data models, dashboards, and visualizations to support decision-making and business objectives.
Location: On-site in Kulim, Malaysia
Company
A global leader in semiconductor manufacturing and innovation, focusing on cutting-edge silicon process and packaging technology for the AI era.
What you will do
- Collect, analyze, and interpret large datasets using statistical tools and programming techniques.
- Develop data models, dashboards, and visualizations to enhance decision-making and user experience.
- Collaborate with cross-functional teams to contribute to data-driven projects and storytelling.
- Apply data modeling techniques and methodologies to solve real-world business problems.
- Implement best practices in data analytics and mining tools to uncover trends and insights.
- Document technical workflows and findings to ensure clear communication across stakeholders.
Requirements
- Currently pursuing a Bachelor's degree in Mechanical, Electrical, Chemical, or Mechatronics Engineering, Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Foundational knowledge of statistical analysis, data modeling techniques, and methodologies.
- Proficiency in at least one programming language such as Python, R, or SQL.
- Experience with data analytics and mining tools.
- Strong problem-solving skills and attention to detail.
Nice to have
- Familiarity with visualization tools like Tableau, Power BI, Python, or C++.
- Experience in technical documentation and presenting analytical findings.
- Strong communication and teamwork skills for cross-functional collaboration.
Culture & Benefits
- Hands-on experience in a world-class semiconductor manufacturing environment.
- Opportunity to work on technologies shaping the future of AI and computing.
- Collaborative community focused on professional growth and continuous learning.
- Exposure to global factory networks and state-of-the-art manufacturing processes.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β