Entry-Level Data Scientist – Semiconductor Engineering & Automation
Kuala Lumpur, Kuala Lumpur, Malaysia · On-site
Entry level$2.6B raised
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 …
Skills: Data Analysis, Machine Learning, Python, R, SQL
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Kuala Lumpur, Kuala Lumpur, Malaysia · On-site
Entry level$350M raised
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Kuala Lumpur, Kuala Lumpur, Malaysia · On-site
Entry level$350M raised
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Internship for Geology/Geophysics, PCSB at Menara Berkembar PETRONAS, KL
Kuala Lumpur, Kuala Lumpur, Malaysia · On-site
Entry level$350M raised
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Kuala Lumpur, Kuala Lumpur, Malaysia · On-site
Entry level$350M raised
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Entry-Level Data Scientist – Semiconductor Engineering & Automation
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Full-time
bachelor degree
Online And Offline Learning Opportunities
Posted 28d ago
~40 hrs/week
Responsibilities
Analyze semiconductor manufacturing test data to identify trends and root causes while developing predictive models and dashboards. Collaborate with cross-functional teams to automate data pipelines and implement AI/ML solutions for process improvement.
Requirements
Requires a Bachelor's degree in Data Science, Electrical Engineering, Computer Science, Statistics, or a related field. Proficiency in Python or R and SQL is required, with a strong foundation in statistics and machine learning.
Full 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 or academic project experience in manufacturing, electronics, or data analytics is a plus.
We anticipate tomorrow’s needs—navigating a changing world by bringing together technology's brightest minds to build game-changing solutions that propel us forward.
NXP Semiconductors N.V. (NASDAQ: NXPI) is the trusted partner for innovative solutions in the automotive, industrial & IoT, mobile, and communications infrastructure markets. NXP's "Brighter Together" approach combines leading-edge technology with pioneering people to develop system solutions that make the connected world better, safer, and more secure. The company has operations in more than 30 countries and posted revenue of $12.61 billion in 2024. Find out more at www.nxp.com.
Career Development Opportunities : 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.
Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA
Offices: High Tech Campus 60, Eindhoven, Noord-Brabant 5656 AG, NL · 6501 West William Cannon Drive, Austin, Texas 78753, US · 411 E Plumeria Dr, San Jose, CA 95134, US · Kanata, Ontario, CA · Guadalajara, MX
How many Science & Research jobs are open in Kuala Lumpur, Malaysia right now?
There are currently 241 open science & research positions in Kuala Lumpur, Malaysia listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Kuala Lumpur, Malaysia?
Companies currently hiring include PETRONAS, Haleon, DKSH, ICON plc, NIQ for Digital Commerce, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Kuala Lumpur, Malaysia?
Yes — 61 of the 241 open science & research positions offer remote or hybrid work (12 remote, 49 hybrid).
How do I apply for Science & Research jobs in Kuala Lumpur, Malaysia?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.