Python or r programming with data science libraries
Data analysis of high-volume manufacturing data
NXP Semiconductors Singapore is seeking an entry-level Data Scientist to join their semiconductor engineering team, focusing on applying data science techniques to enhance product development and process improvements. The ideal candidate will have a strong foundation in statistics and machine learning, along with proficiency in Python or R, and a collaborative mindset
Job Summary
This role offers a unique opportunity to contribute to cutting-edge semiconductor technologies through advanced analytics and AI.
You will collaborate with Product, Test, Quality, and Yield Engineers to analyze data, develop predictive models, and drive process improvements.
Receive training, guidance, and mentorship to accelerate your career growth in a data-driven engineering environment.
Matching Summary
Match Score: 85
NXP Semiconductors Singapore is seeking an entry-level Data Scientist to join their semiconductor engineering team, focusing on applying data science techniques to enhance product development and process improvements. The ideal candidate will have a strong foundation in statistics and machine learning, along with proficiency in Python or R, and a collaborative mindset.
Salary
SGD 4,300 - 4,900 / Monthly
Skills & Requirements
Must-have
Statistical and machine learning modeling
Python or R programming with data science libraries
Data analysis of high-volume manufacturing data
SQL and large-scale database experience
Data visualization and dashboard development
Collaboration with cross-functional engineering teams
Cloud compute resources for large-scale data processing
Nice-to-have
Understanding of semiconductor manufacturing processes
Experience with Tableau, Power BI, or Plotly
Knowledge of Generative AI and Large Language Models
Exposure to cloud platforms like AWS or Azure
Strong problem-solving and attention to detail
Collaborative mindset
Internship or academic project experience in manufacturing or electronics
Key Requirements
Bachelor’s degree in Data Science or related field
Strong foundation in statistics and machine learning
Proficiency in Python or R programming
Familiarity with SQL and large-scale databases
Internship or academic project experience preferred