Data Scientist

NXP Semiconductors; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A leading semiconductor company in Singapore is seeking an Entry-Level Data Scientist to join its engineering team. This role offers recent graduates a unique opportunity to apply data science in product development and yield improvement. The successful candidate will analyse complex test data, build predictive models, and collaborate with cross-functional teams. Experience with Python, SQL, and data visualisation tools is essential for driving process improvements and enhancing product reliability.

Qualifications

• Strong foundation in statistics and data analysis.
• Proficiency in Python or R with relevant libraries.
• Familiarity with SQL and large-scale databases.
• Ability to communicate findings clearly to engineering teams.

Responsibilities

• Analyse wafer sort, final test, and inline process data.
• Build statistical and machine learning models to improve test coverage.
• Develop dashboards to monitor key metrics.
• Collaborate with engineering teams to translate data insights.
• Automate data pipelines for continuous improvement.

Skills

Statistical analysis

Data analysis

Machine learning

Python

R

SQL

Data visualisation

Problem-solving

Education

Bachelor's degree in Data Science or related field

Tools

pandas

NumPy

scikit-learn

matplotlib

Tableau

Power BI

Plotly

Job description

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 visualisations 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.
• Utilise 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 visualisation 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...