Data Science and Analytics Intern

Intel Corporation•Hillsboro, OR

1d•$71,100 - $96,200•Onsite

About The Position

Intel Foundry - Advanced Packaging Technology and Manufacturing (APTM) is seeking an Intern in Data Science and Analytics to join our operations team. In this role, you will gain hands-on experience collecting, analyzing, and interpreting large-scale datasets using statistical methods and programming techniques. Working closely with system software engineers and semiconductor IT engineers, you will help uncover patterns, insights, and key failure signatures that drive informed business and manufacturing decisions in advanced packaging. You will leverage cutting-edge data tools to analyze complex datasets, enabling users to better interpret results, inventory status, and improve overall manufacturing performance. Your work will directly contribute to the development of data models, dashboards, and visualizations that support factory business operations, optimize throughput, and enhance decision-making capabilities. This position offers a unique opportunity to apply data science principles in a high-impact semiconductor manufacturing environment while contributing to critical initiatives that improve user experience and operational efficiency.

Requirements

Currently pursuing or recently completed Bachelor's/Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or related analytical field
Academic coursework or project experience in data analysis and statistical methods
Knowledge at least one of the following: SQL, Python, R, or similar programming languages
Experience with data visualization tools (Power BI or similar)
Experience in statistics and data modeling concepts

Nice To Haves

Coursework or experience in manufacturing, operations, or supply chain analytics
Familiarity with Power Query M, DAX, and advanced Power BI features
Experience with Azure Analysis Services or SQL Server Analysis Services
Experience with Copilot or AI capabilities
Knowledge of Python and R programming languages
Understanding of database management and data warehousing concepts
Previous internship or project experience in data science or analytics

Responsibilities

Contribute to the collection, analysis, and interpretation of large operational datasets
Assist in building data models, dashboards, and visualizations that support business decision-making and operational improvements
Develop scalable data models to help reduce time spent manually gathering key business metrics
Translate business requirements into technical requirements for IT partnerships
Collaborate with data scientists, analysts, and engineers on data-driven projects
Support data storytelling initiatives to communicate insights to stakeholders
Present business impact of analytical work to senior leadership
Learn and apply knowledge while building skills in a collaborative environment