Data Scientist Co-op - Summer/Fall 2026

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 76045

Description

We are seeking a highly motivated and detail-oriented Data Scientist Co-op to join our Newbury Park Product Engineering team for Summer/Fall 2026. This role offers a unique opportunity to work closely with product engineers in Newbury Park to develop data-driven tools and AI solutions that enhance our analysis of module ATE and wafer probe data.

Responsibilities

• Collaborate with module product engineers to understand data analysis needs and translate them into scalable solutions.
• Develop and deploy tools for automated analysis of ATE histograms and statistical plots.
• Apply machine learning and statistical techniques to identify patterns, anomalies, and insights in test data.
• Build dashboards and visualizations to support engineering decision-making.
• Assist in automating routine data checks and reporting processes.
• Document methodologies and present findings to cross-functional teams.

Required Experience and Skills

• Currently pursuing a Bachelor's or Master’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field.
• Ability to work onsite up to 6 months (June - December 2026).
• Strong foundation in statistical analysis, data visualization, and machine learning.
• Proficiency in Exensio (preferred), JMP, or other data analysis tools.
• Experience with data visualization libraries and tools.
• Familiarity with semiconductor test data (ATE, wafer probe) is a plus but not required.
• Proficiency in Microsoft Copilot for productivity and automation tasks.
• Experience with Power BI for building interactive dashboards and reports.
• Excellent communication and collaboration skills.

What You'll Gain

• Hands-on experience in applying data science to real-world engineering problems.
• Exposure to semiconductor product development and test engineering workflows.
• Opportunity to contribute to impactful projects that improve product quality and efficiency.