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Data Science / Structured Problem Solving Intern - Summer 2027

NXP Semiconductor, Inc.Austin, TX
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Overview

Schedule
Full-time
Education
Engineering (PE)
Career level
Senior-level
Remote
On-site
Benefits
Career Development
Tuition/Education Assistance

Job Description

Job Summary:

  • Partner with Manufacturing Quality Engineering, Fab Operations, Business Lines and support organizations to deliver continuous improvement solutions in a high-volume semiconductor wafer manufacturing environment.

  • Work on engineering and analytical problem-solving projects under the direction of Quality and Operations Engineering to help optimize quality solutions through a 6 Sigma structured problem-solving approach.

  • Participate in fab-to-fab standardization activities and improvements as well as external manufacturing sites in the local area.

  • Participate in machine learning and AI projects related to quality improvements

  • Learn to develop logical and objective data analysis skills to establish and track metrics to meet department goals.

  • Intern will be the owner responsible for the research, analysis, and presentation to organization leadership of one high-business impact project during their internship.

Job Qualifications:

  • Working towards a Bachelor of Science or Advanced degree in an Engineering, Physics, Applied Mathematics or Computer Science discipline.

  • Familiarity with Integrated Circuit Manufacturing or Design is a plus.

  • Familiarity with Microsoft Office products (Power Point, Excel, Word, etc.)

  • Strong data analysis, teamwork, and communication skills.

  • Course work in advanced statistics and data science desired

  • Strong programming skills in R or Python are desired

  • Aptitude and desire to learn new skills.

  • Ability to thrive in a multi-cultural environment.

In order to be considered for a summer internship with NXP you must be returning to school or graduating at the conclusion of the internship term. If you are graduating prior to July 2027 please apply to Entry Level full-time roles.

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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FAQs About Data Science / Structured Problem Solving Intern - Summer 2027 Jobs at NXP Semiconductor, Inc.

What is the work location for this position at NXP Semiconductor, Inc.?
This job at NXP Semiconductor, Inc. is located in Austin, TX, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at NXP Semiconductor, Inc.?
Employer has not shared pay details for this role.
What employment applies to this position at NXP Semiconductor, Inc.?
NXP Semiconductor, Inc. lists this role as a Full-time position.
What experience level is required for this role at NXP Semiconductor, Inc.?
NXP Semiconductor, Inc. is looking for a candidate with "Senior-level" experience level.
What education level is required for this job?
The education requirement for this position is Engineering (PE). Candidates with relevant qualifications or equivalent experience may also be considered.
What benefits are offered by NXP Semiconductor, Inc. for this role?
NXP Semiconductor, Inc. offers following benefits: Career Development and Tuition/Education Assistance for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at NXP Semiconductor, Inc.?
You can apply for this role at NXP Semiconductor, Inc. either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.