Entry-Level Data Scientist – Semiconductor Engineering & Automation
Kuala Lumpur Full-time Junior Data Science
At a glance
Junior Data Science role at Nxp. Kuala Lumpur · full-time.
Pay not stated Data Science salary
RoleData Science
SeniorityJunior
LocationKuala Lumpur
EmploymentFull-time
PostedJul 15, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Analyze wafer sort, final test and inline process data to spot patterns, unusual results and likely causes
- Build dashboards that track important measures across product and test stages
- Automate data flows and reporting to support ongoing process improvements
- Work with engineers and suppliers to connect solutions to production systems, then deploy and maintain them
- Develop AI and machine-learning approaches for problems that lack standard solutions
What you bring
- A bachelor's degree in data science, electrical engineering, computer science, statistics or a related area
- A solid grounding in statistics, data analysis and machine learning
- Proficiency in Python or R, plus familiarity with SQL and large databases
- Ability to interpret complex data and explain findings clearly to engineering teams
Who this fits
This entry-level role suits a recent graduate seeking training and mentorship while applying data science to semiconductor engineering. You’ll collaborate with engineering teams and suppliers in Kuala Lumpur, Malaysia.
From the employer
About the Role
- We are seeking a data-driven Entry-Level Data Scientist to join our semiconductor engineering team. This role is ideal for recent graduates who are passionate about applying data science and automation to solve complex engineering challenges and improve the manufacturing process.
- As a member of a cross-functional engineering team, you will collaborate with Product, Test, Process, Yield, and Quality Engineers to analyze manufacturing test data, develop predictive and diagnostic models, and implement automated solutions that improve operational process, product quality, and yield performance. You will play a key role in working with suppliers and deploying the quality shield into production line and sustaining.
- This is a unique opportunity to work at the intersection of semiconductor technology, advanced analytics and artificial intelligence.
Key Responsibilities
- 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 function with production line system, deploy and sustain, and translate data insights into actionable improvements.
- Innovate and develop AI/ML solutions for non-standard problems.
- Receive training, guidance, and mentorship to accelerate your career growth.
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, with experience using libraries such as pandas, NumPy, scikit-learn, matplotlib.
- Familiarity with SQL and working with large-scale databases.
- Understanding of semiconductor manufacturing and test processes is a plus.
- Experience with data visualization tools (e.g., Tableau, Power BI) is an advantage.
- Ability to interpret complex datasets and communicate findings clearly to engineering teams.
- Strong problem-solving skills, attention to detail, and a collaborative mindset.
- Internship or academic project experience in manufacturing, electronics, or data analytics is a plus.
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