Each day, billions of people use 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. The development and validation of Intel products produce enormous amounts of data. Our group builds and delivers AI capabilities to transform the most critical processes in our organization. 

We are looking for a data scientist to join out team. We work closely with various product groups, bringing expertise in machine learning, statistics, causal inference, data analysis, and other quantitative methods. The ideal candidate will have a passion for applying research expertise and the latest methods to solve challenging, high-impact problems.

position in Israel : Haifa/ PTK/Jerusalem

Qualifications

• MSc/PhD in Computer science/ Software engineering/ Electrical engineering/ Statistics or related fields
• At least 5 years of industry work experience with ML algorithms and techniques including DL Proven experience in Python and in one of the popular DL frameworks such as PyTorch/Keras/TensorFlow
• Acquaintance with AI-related tools, such as Scikit-learn, and PySpark. 
• Deep understanding of statistics and optimization techniques
• 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), team player

In the Design Engineering Group (DEG), we take pride in developing the best-in-class SOCs, Cores, and IPs that power Intel’s products. From development, to integration, validation, and manufacturing readiness, our mission is to deliver leadership products through the pursuit of Moore’s Law and groundbreaking innovations.  DEG is Intel’s engineering group, supplying silicon to business units as well as other engineering teams.  As a critical provider of all Intel products, DEG leadership has a responsibility to ensure the delivery of these products in a cost efficient and effective manner.