Data Scientist

NXP Semiconductors

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profile Job Location:

Kuala Lumpur - Malaysia

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

About the Role

We are seeking an earlycareer Data Scientist to apply AI/ML and Generative AI in semiconductor engineering. You will work with engineering teams to build ML models and GenAIpowered analytics automation and decisionsupport solutions on largescale manufacturing and test data.

Key Responsibilities

  • Apply statistical analysis and ML techniques to wafer sort final test and inline process data

  • Explore and develop AI/ML and Generative AI use cases including LLMassisted analytics and automation

  • Design dashboards and visualizations to communicate AIdriven insights to engineering teams

  • Automate data pipelines model workflows and reporting

  • Leverage cloud platforms and compute (CPU/GPU) for scalable data processing and model training

Qualifications

  • Bachelors or masters degree in data science Engineering Computer Science Statistics or related field

  • 12 years of applied experience in data science ML or AIdriven projects

  • Strong foundation in machine learning statistics and data analysis

  • Proficient in Python or R (pandas NumPy scikitlearn etc.)

  • Working knowledge of SQL and large datasets

  • Familiarity with Generative AI concepts LLMs or promptbased workflows

  • Exposure to cloud platforms (AWS Azure or similar) and big data tools is a plus

  • Strong analytical thinking problemsolving and communication skills


More information about NXP in Malaysia...

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Required Experience:

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About the RoleWe are seeking an earlycareer Data Scientist to apply AI/ML and Generative AI in semiconductor engineering. You will work with engineering teams to build ML models and GenAIpowered analytics automation and decisionsupport solutions on largescale manufacturing and test data.Key Responsi...
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NXP is a global semiconductor company creating solutions that enable secure connections for a smarter world.

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