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Jobs or company...

Correlation study between ICT/FCT failures and SPI measurement (Data Scientist) Intern

Salary undisclosed
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Overview:is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn moreOur powerful, culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities:
  • Develop Correlation Models – Analyze the relationship between ICT/FCT failures and SPI data in the SMT line using statistical methods, machine learning, and AI techniques.
  • Implement Machine Learning Solutions – Explore and apply predictive modeling, anomaly detection, and classification algorithms to identify patterns and improve manufacturing quality.
  • Automate Data Processing Pipelines – Collect, clean, and preprocess large datasets from multiple sources to ensure data integrity and usability for analysis.
  • Visualize and Communicate Insights – Create dashboards, reports, and visualizations to present findings and recommendations to stakeholders.
  • Collaborate with Cross-Functional Teams – Work closely with engineers, process experts, and software developers to integrate AI/ML solutions into manufacturing workflows.
Qualifications:***Keysight is an Equal Opportunity Employer.***Basic Qualifications:
  • Foundational Knowledge in Data Science & AI/ML – Understanding of machine learning algorithms, statistical analysis, and AI techniques.
  • Programming Skills – Proficiency in Python (preferred) with experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Data Handling & Analysis – Ability to collect, clean, and analyze large datasets, with experience in SQL or other database querying tools being a plus.
  • Problem-Solving & Analytical Thinking – Strong ability to apply data-driven approaches to solve real-world manufacturing challenges.
  • Good Communication Skills – Ability to effectively present data insights and collaborate with cross-functional teams.
  • Familiarity with Manufacturing Processes (Preferred) – Basic understanding of SMT, SPI, ICT, or FCT processes is a plus but not required.
Overview:is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn moreOur powerful, culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities:
  • Develop Correlation Models – Analyze the relationship between ICT/FCT failures and SPI data in the SMT line using statistical methods, machine learning, and AI techniques.
  • Implement Machine Learning Solutions – Explore and apply predictive modeling, anomaly detection, and classification algorithms to identify patterns and improve manufacturing quality.
  • Automate Data Processing Pipelines – Collect, clean, and preprocess large datasets from multiple sources to ensure data integrity and usability for analysis.
  • Visualize and Communicate Insights – Create dashboards, reports, and visualizations to present findings and recommendations to stakeholders.
  • Collaborate with Cross-Functional Teams – Work closely with engineers, process experts, and software developers to integrate AI/ML solutions into manufacturing workflows.
Qualifications:***Keysight is an Equal Opportunity Employer.***Basic Qualifications:
  • Foundational Knowledge in Data Science & AI/ML – Understanding of machine learning algorithms, statistical analysis, and AI techniques.
  • Programming Skills – Proficiency in Python (preferred) with experience using libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Data Handling & Analysis – Ability to collect, clean, and analyze large datasets, with experience in SQL or other database querying tools being a plus.
  • Problem-Solving & Analytical Thinking – Strong ability to apply data-driven approaches to solve real-world manufacturing challenges.
  • Good Communication Skills – Ability to effectively present data insights and collaborate with cross-functional teams.
  • Familiarity with Manufacturing Processes (Preferred) – Basic understanding of SMT, SPI, ICT, or FCT processes is a plus but not required.