Data Scientist, Intern

Keysight Technologies develops electronic design, simulation, testing, and optimization solutions for technology markets worldwide. The Data Scientist, Intern will support the EDA Business Operations team by analyzing and visualizing business data, building dashboards and reports, developing KPIs and predictive models, and improving data workflows to inform strategic planning and customer success.

What you'll do:

• Collaborate with cross-functional teams to gather, analyze, and visualize data related to orders, revenue, product adoption, and software market trends
• Build and maintain dashboards and reports using Tableau, Snowflake, Salesforce, Excel, SQL, Python and more
• Assist in developing KPIs and metrics to track business performance across EDA initiatives
• Support ad hoc data analysis requests to inform strategic planning and executive presentations
• Help automate data workflows and improve data quality and accessibility
• Develop predictive models for division and forecasting

What they're looking for:

• Currently pursuing a Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field
• Strong analytical skills and proficiency in SQL, Excel, and data visualization
• Excellent communication and presentation skills
• Ability to work independently and collaboratively in a fast-paced environment
• Must be enrolled in an accredited college/university
• Strong command of English (written and spoken)
• Visa sponsorship is not available for this position
• Previous experience working with Tableau applications (Prep, Desktop, Cloud/Server)
• Familiarity with Python or R for data analysis is a plus
• Interest or experience in the EDA industry, semiconductor design, or electronic test and measurement
• Exposure to CRM or ERP systems (e.g., Salesforce, SAP)
• Experience with cloud platforms (e.g., AWS, Azure) and data warehousing tools

Benefits:

• Hands-on experience with real-world business analytic projects in a leading technology company.
• Exposure to strategic decision-making in an EDA software domain.
• Mentorship from experienced professionals in business development and data analytics.
• Experience presenting findings to senior leadership