Epicareer Might not Working Properly
Learn More
Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
Any Question? Contact us
logo
Jobs or company...

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

Salary undisclosed
Checking job availability...
Original
Simplified
Overview:
Keysight 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 more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion 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:
Careers Privacy Statement

***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.