Data Scientist

NXP Semiconductors; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

NXP Semiconductors is looking for an early-career Data Scientist in Kuala Lumpur to apply AI, ML, and Generative AI in semiconductor engineering. Responsibilities include developing ML models, automating data pipelines, and designing dashboards. Ideal candidates will have a bachelor’s or master’s degree in data science or a related field, along with 1-2 years of experience in data projects. Familiarity with machine learning, Python, R, and cloud platforms is preferred.

Qualifications

• 1–2 years of applied experience in data science, ML, or AI‑driven projects.
• Strong foundation in machine learning, statistics, and data analysis.
• Familiarity with Generative AI concepts and prompt-based workflows.

Responsibilities

• Apply statistical analysis and ML techniques to wafer sort, final test, and inline process data.
• Design dashboards and visualizations to communicate insights.
• Automate data pipelines and model workflows.

Skills

Machine learning

Data analysis

Statistical analysis

Python

R

SQL

Cloud platforms

Education

Bachelor's or master's degree in data science or related field

Tools

pandas

NumPy

scikit-learn

Job description

About the Role

We are seeking an early‑career Data Scientist to apply AI/ML and Generative AI in semiconductor engineering. You will work with engineering teams to build ML models and GenAI‑powered analytics, automation, and decision‑support solutions on large‑scale manufacturing and test data.

Key Responsibilities

• Apply statistical analysis and ML techniques to wafer sort, final test, and inline process data
• Explore and develop AI/ML and Generative AI use cases, including LLM‑assisted analytics and automation
• Design dashboards and visualizations to communicate AI‑driven insights to engineering teams
• Automate data pipelines, model workflows, and reporting
• Leverage cloud platforms and compute (CPU/GPU) for scalable data processing and model training

Qualifications

• Bachelor’s or master’s degree in data science, Engineering, Computer Science, Statistics, or related field
• 1–2 years of applied experience in data science, ML, or AI‑driven projects
• Strong foundation in machine learning, statistics, and data analysis
• Proficient in Python or R (pandas, NumPy, scikit‑learn, etc.)
• Working knowledge of SQL and large datasets
• Familiarity with Generative AI concepts, LLMs, or prompt‑based workflows
• Exposure to cloud platforms (AWS, Azure, or similar) and big data tools is a plus
• Strong analytical thinking, problem‑solving, and communication skills