Senior Data Scientist
Intel Corporation
Tel Aviv, IL
לפני 13 שעות

Job Description

Every day, billions of people are using Intel products worldwide. The ability to produce and deliver so many products, to so many satisfied customers, isn't trivial.

It is the result of a very long and complicated process, from the initial idea to actually manufacturing the product. And at the end of this line, making sure that the product is released working perfectly and bug-free stand Intel validation Validation Engineering.

Validation Engineering at Intel stand at the forefront of Global technology, and hold a significant role in the success of one of the world's leading organizations.

They often work on technologies and tools that the market will know only a couple of years later, working shoulder to shoulder with other departments to create the world's most amazing solutions and products.

And like other roles at Intel, this role is an integral part of the company's core activities, and is treated as such. The engineers enjoy much trust and independence from above, and their voice is always heard and wanted.

Being a Validation Engineer at Intel is also about being versatile and ever-changing to avoid boredom and to make sure your intellectual needs are being fulfilled.

Our Validation Engineers work on diverse and wide-ranging projects, products, teams and departments so they can contribute to the organization and themselves in many interesting ways.

Validation of Intel products produce enormous data , transforming and modeling data with the goal of discovering useful informationcan make an impact to billions of people that are using Intel products worldwide .

If you’re a data scientist in heart and soul with outstanding leadership , who want a job where you get fascinating problems to solve, always learn new skills and tools and want to play in the NBA of technology, work with the best of the best, enjoy new and amazing challenges and play a significant role in touching the lives of billions around the world we are waiting for you.

Qualifications

  • MSc / PhD in Computer science / Software engineering / Electrical engineering / Statistics / Information technology / Industrial engineering
  • At least 5 years of industry work experience with ML algorithms and techniques including DL
  • Knowledge in the semiconductors manufacturing domain - advantage
  • Academic experience with ML algorithms and techniques
  • Curiosity and endless desire to learn and improve
  • Excellent analytical and learning skills
  • Excellent communication skills (in English : written and verbal)
  • Passion for solving intricate business problems using data science
  • Deep understanding of statistics and optimization techniques
  • Proven experience in Python / Keras / TensorFlow
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