Entry-Level Data Scientist – Semiconductor Engineering & Automation

NXP Semiconductors; Kuala Lumpur; On-site; MYR 42,000 - 66,000; Full time

Job summary

NXP Semiconductors in Kuala Lumpur is seeking an Entry-Level Data Scientist to join a semiconductor engineering team. Ideal for recent graduates, you will analyze manufacturing data, build predictive models, and automate pipelines to improve yield and product quality.

You will collaborate with Product, Test, Process, Yield, and Quality Engineers to deploy AI/ML solutions and translate insights into actionable improvements within production.

Qualifications

• 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 libraries such as pandas, NumPy, scikit-learn, matplotlib.
• Familiarity with SQL and working with large-scale databases.
• Experience with data visualization tools (Tableau, Power BI) is an advantage.
• Ability to interpret complex datasets and communicate findings clearly to engineering teams.
• Internship and academic project experience in manufacturing, electronics, or data analytics is a plus.

Responsibilities

• 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.

Skills

Python

R

SQL

Pandas

NumPy

scikit-learn

Matplotlib

Tableau

Power BI

Education

Bachelor’s degree in Data Science

Electrical Engineering

Computer Science

Statistics

Tools

Tableau

Power BI

Job description

About the Role

We are seeking a data-driven Entry-Level Data Scientist to join our semiconductor engineering team. This role is ideal for recent graduates who are passionate about applying data science and automation to solve complex engineering challenges and improve the manufacturing process. As a member of a cross-functional engineering team, you will collaborate with Product, Test, Process, Yield, and Quality Engineers to analyze manufacturing test data, develop predictive and diagnostic models, and implement automated solutions that improve operational process, product quality, and yield performance. You will play a key role in working with suppliers and deploying the quality shield into production line and sustaining. This is a unique opportunity to work at the intersection of semiconductor technology, advanced analytics and artificial intelligence.

Key Responsibilities

• 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 and academic project experience in manufacturing, electronics, or data analytics is a plus.

More information about NXP in Malaysia... #LI-633a NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com

Bright Minds. Bright Futures.

We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress.

Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind.

We have programs in place focused on diversity, inclusion and equality.

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Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise.

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