Job Details:
Job Description:
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.
Key Responsibilities
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.
This position is not eligible for Intel immigration sponsorship
Minimum Qualifications
Preferred Qualifications
Additional Information
We invite you to bring your drive, creativity, and expertise in data science and analytics to Intel. Join us in pushing boundaries, creating groundbreaking technologies, and shaping the future. Apply today and become part of our mission to deliver world-changing innovation.
Job Type:
Student / Intern
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, Oregon, Hillsboro
Business group:
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers'' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $71,100.00-96,200.00 USD (Hourly Role)
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.