Data Science Intern

NXP Semiconductors • Austin, TX

1d

About The Position

During this internship you will have the opportunity to work with data from state-of-the-art IC products across the NXP portfolio You will be part of a global team and interact with data scientists, product engineers and experts from other disciplines including design, test and manufacturing, while shadowing your mentor to accomplish goals Engage in advanced analytics on voluminous data coming from automated test facilities – solving ‘needle in the haystack’ problems, classification problems and problems which may require machine-learning solutions Creation of new, novel solutions to difficult manufacturing and operations problem. Training, guidance and coaching will be part of the program Attributes: Familiarity with Python Worked on projects using ML libraries and APIs such as scikit-learn / Tensorflow / Keras Experience with statistical analysis techniques and software such as R/JMP/Minitab/Exensio Knowledge in statistical analysis and modelling of data (especially ML models) Knowledge of semiconductor design, process, and testing is a plus Knowledge of LLM and agentic AI is a plus Studying to a Bachelors/Masters/PhD in Engineering/Computer Science/Data Science/Math or similar Curious; hungry for knowledge; self-driven 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. #LI-6aa0 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. Thank you for your interest in supporting our recruitment efforts. Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.

Requirements

• Familiarity with Python
• Worked on projects using ML libraries and APIs such as scikit-learn / Tensorflow / Keras
• Experience with statistical analysis techniques and software such as R/JMP/Minitab/Exensio
• Knowledge in statistical analysis and modelling of data (especially ML models)
• Studying to a Bachelors/Masters/PhD in Engineering/Computer Science/Data Science/Math or similar
• Curious; hungry for knowledge; self-driven

Nice To Haves

• Knowledge of semiconductor design, process, and testing is a plus
• Knowledge of LLM and agentic AI is a plus

Responsibilities

• Engage in advanced analytics on voluminous data coming from automated test facilities – solving ‘needle in the haystack’ problems, classification problems and problems which may require machine-learning solutions
• Creation of new, novel solutions to difficult manufacturing and operations problem

Benefits

• online and offline learning opportunities to help you develop some of your core and professional skills
• programs in place focused on diversity, inclusion and equality

What This Job Offers

• Career Level: Intern