Job Details:

Job Description: 

Intel Foundry Technology Development Analytics and Technology Automation (TD ATA) is hiring a Data Science Intern to leverage data analytics towards microprocessor manufacturing process control. Responsibilities include, but are not limited to:
- Learning from senior data scientists and fab process module engineers about the nature of manufacturing data.
-Using predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from manufacturing process data.
- Developing software, algorithms, and applications to support fab Fault Detection and Classification (FDC) and Advanced Process Control (APC) systems.
The ideal candidate should exhibit the following behavioral traits:
-Self-motivated to learn about semiconductor manufacturing.
-Passionate about data analytics.
-Teamwork and partnership skills.
-Effective written and oral communication skills.

-Demonstrate tolerance of ambiguity and self-motivation.
This is an internship and compensation will be given accordingly based on candidate education level and internship duration. Internship will start in the Summer 2024.

Qualifications:

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
- Candidate must be actively pursuing a master’s or PhD degree in a STEM discipline such as Computer Science/Engineering, Data Science, Applied Math, Electrical Engineering, Physics, or related discipline.
12+ months of experience working with one or more of the following:
- Data analysis
-Proficient in Python, JMP, or Matlab
Preferred Qualifications:

3+ months of working knowledge with SQL queries and database technologies.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

Virtual US

Additional Locations:

Business group:

As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support.  Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to 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, as well as, benefit programs which include health, retirement, and vacation.  Find more information about all of our Amazing Benefits here:  https://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in

US, Colorado, New York, Washington, California:$63,000.00-$166,000.00

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.

The application window for this job posting is expected to end by 05/06/2024