Entry-Level Data Scientist – Semiconductor Engineering & Automation

What You'll 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 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.
• More information about NXP in Malaysia... #LI-633a