Data Scientist

NXP Semiconductors · Semiconductors

Job description

Job Description: Duties: Deliver systems solutions for high-volume semiconductor wafer manufacturing environment through data analytics, utilizing machine learning and artificial intelligence applications. Responsible for integration of manufacturing quality, engineering, production, and support organizations on projects to optimize Time to Detect issues, quality solutions and incident prevention. Utilize data analytic techniques, advanced statistical methods, programming skills and semiconductor device manufacturing to extract, load, and model large amounts of data across multiple platforms and sources. Collaborate subject matter experts to determine the practical significance. Participate in factory standardization activities and improvements across global manufacturing footprint. Develop and contribute logical and objective data analysis skills and support data analytics teams across Front end, Assembly, Electronic Business Intelligence and IT with a customer protection perspective and, problem solving and prevention in semiconductor manufacturing environments. Qualifications: Master’s degree in Computer Science, Data Science, foreign equivalent or related field. Required skills: Position requires knowledge gained via completion of a graduate-level course, research project, internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. Pandas and OpenCV, 3. Computer compiler and algorithms, 4. Machine learning, 5. Deep learning language 6. Network infrastructure 7. Neural networks such as CNN, 8. Data visualization software; and 9. PyTorch and Sklearn. Salary: $128750 per year. 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.

Skills

  • performance_marketing
  • data_science/data_engineering
  • deep_learning
  • ml
  • neural_networks
  • opencv
  • pandas
  • python
  • pytorch
  • sklearn
  • sql

Languages

EN

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Data Scientist — NXP Semiconductors | RVC