Entry-Level Data Scientist – Semiconductor Engineering & Automation

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. 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. Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. Thank you for your interest in supporting our recruitment efforts. 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. Thank you for your understanding.