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Data Scientist

155834
San Jose, CA, United States
Sep 6, 2018

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Job Description

Description

Xilinx develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies - from the endpoint to the edge to the cloud. Xilinx is the inventor of the FPGA, hardware programmable SoCs and the ACAP (Adaptive Compute Acceleration Platform), designed to deliver the most dynamic processor technology in the industry and enable the adaptable, intelligent and connected world of the future in a multitude of markets including Data Center (Compute, Storage and Networking); Wireless/5G and Wired Communications; Automotive/ADAS; Emulation & Prototyping; Aerospace & Defense; Industrial Scientific & Medical, and others. Xilinx's core strengths simultaneously address major industry trends including the explosion of data, heterogeneous computing after Moore's Law, and the dawn of artificial intelligence (AI).

 

Our global team is growing and we are looking for bold, collaborative and creative people to help us lead the industry transformation to build an adaptable intelligent world. We believe that by embracing diverse ideas, striving for excellence in all that we do, and working together as a unified team, we can accomplish anything. Come do your best work and live your best life as part of the ONEXILINX team!

 

Xilinx is looking for a Data Scientist to analyze large data sets from semiconductor manufacturing process and product data to identify sources of issues or opportunities for improvement

Responsibilities:

  • Select, refine and develop features and algorithms for machine learning and deep learning techniques to solve various problems in semiconductor manufacturing,  supplier chain and quality. 
  • Define and execute data collection and cleaning procedures
  • Perform adhoc analysis deliver clear presentations
  • Design, test, review, and monitor performance of algorithms in a team and shared ownership environment
  • Develop software tools and implement automation for data management, visualization, and advanced analytics

Qualifications:

  • Graduate degree in Computer Science, Electrical Engineering, Applied Math, or other related STEM majors with machine learning and algorithms development experience
  • Extensive knowledge and experience about the details of the algorithm used in Machine learning.
  • Familiar with Python, PHP, R, HTML, CSS, SQL, MongoDB, Apache Hadoop and AWS experience a plus
  • Good written, verbal presentation and communication skills
  • Strong project management and leadership skills

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