Data Scientist at NXP Semiconductors

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Modeling, Machine Learning, Python, R, Pandas, NumPy, Scikit-learn, Matplotlib, SQL, Data Visualization, AI/ML Solutions, Cloud Compute, Process Improvement, Semiconductor Manufacturing, Root Cause Analysis

Industry

Semiconductor Manufacturing

Description

Data Scientist 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 visualizations 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. Utilize 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 visualization 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... #LI-2370 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.

Responsibilities

Key responsibilities include analyzing wafer sort, final test, and inline process data to identify trends and anomalies, and building statistical and machine learning models for yield prediction and outlier detection. The role also involves developing dashboards, collaborating with engineering teams, and automating data pipelines for continuous improvement.