Data Scientist

NXP SEMICONDUCTORS SINGAPORE PTE. LTD.; Singapore; Sur place; SGD 55 000 - 90 000; Plein temps

Résumé du poste

NXP Semiconductors Singapore Pte. Ltd.

is seeking an entry-level data scientist to apply data analytics to product development, test optimization, quality assurance, and yield improvement in a high-volume semiconductor environment. You will work with Product, Test, Quality, and Yield Engineers to build predictive models, develop dashboards, automate data pipelines, and translate insights into concrete process improvements that enhance reliability.

Qualifications

• Bachelor’s degree in a relevant field such as Data Science, Electrical Engineering, Computer Science, or Statistics.
• Strong foundation in statistics, data analysis, and machine learning.
• Proficiency in Python or R with libraries like pandas, NumPy, scikit-learn, matplotlib.
• Familiarity with SQL and large-scale databases.
• Understanding of semiconductor manufacturing and test processes is a plus.
• Experience with data visualization tools (Tableau, Power BI, Plotly) is advantageous.
• Ability to interpret complex datasets and communicate findings clearly to engineering teams.
• Internship or academic project experience in manufacturing, electronics, or data analytics is a plus.

Responsabilités

• 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 for large-scale data processing.
• Receive training, guidance, and mentorship to accelerate your career growth.

Connaissances

Statistics knowledge

Data analysis

Machine learning

Python

R

SQL

Data visualization

Communication

Formation

Bachelor’s degree in Data Science

Bachelor’s degree in Electrical Engineering

Bachelor’s degree in Computer Science

Bachelor’s degree in Statistics

Outils

Tableau

Power BI

Plotly

NumPy

pandas

scikit-learn

matplotlib

SQL

Description du poste

About the Role

We are seeking a data-driven and detail-oriented Entry-Level Data Scientist to join our semiconductor engineering team. This role is perfect for recent graduates eager to apply data science to solve complex challenges in product development, test optimization, quality assurance, and yield improvement. You will collaborate with Product, Test, Quality, and Yield Engineers to analyse high-volume manufacturing and test data, develop predictive models, and uncover insights that drive process improvements and product reliability. This is a unique opportunity to contribute to cutting-edge semiconductor technologies through advanced analytics and AI.

Key Responsibilities

• 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.