<New Graduate Hiring> Data Scientist

What You'll Do

• Analyse wafer sort, final test, and inline process data to identify trends, anomalies, and root causes.
• Build statistical and machine learning models to predict yield, detect outliers, and improve test coverage.
• Develop dashboards and visualizations to monitor key metrics across product and test stages.
• Collaborate with cross-functional engineering teams to translate data insights into actionable improvements.
• Automate data pipelines and reporting tools to support continuous improvement initiatives.
• Support quality investigations through data mining and correlation analysis.
• Innovate and develop AI/ML solutions for non-standard problems.
• Utilize cloud compute resources (CPU, GPU) for large-scale data processing.
• 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, Plotly) 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.
• Preferred Skills (Added Advantage) Knowledge of Generative AI concepts and applications.
• Familiarity with Large Language Models (LLMs) and their integration into data workflows.
• Exposure to cloud platforms (AWS, Azure, etc) and big data frameworks.
• More information about NXP in Singapore... #LI-2370