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Data Scientist Internship

159136
United States
Jan 8, 2021

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Job Description

Description

At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? We develop leaders and innovators who want to revolutionize the world of technology. We believe that by embracing diverse ideas, pushing boundaries, and working together as ONEXILINX, anything is possible.

Our culture of innovation began with the invention of the Field Programmable Gate Array (FPGA), and with the 2018 introduction of our Adaptive Compute Acceleration Platform (ACAP), has made a quantum leap in capability, solidifying our role as the adaptable platform supplier of choice. From the beginning, we have always believed in providing inventors with products and platforms that are infinitely adaptable. From self-driving cars, to world-record genome processing, to AI and big data, to the world's first 5G networks, we empower the world's builders and visionaries whose ideas solve every day problems and improve people's lives.

If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you! At Xilinx, we care deeply about creating significant development experiences while building a strong sense of belonging and connection. We champion an environment of empowered learning, wellness, community engagement, and recognition, so you can focus on work that matters - world class technology that improves the way we live and work. We are ONEXILINX.

We are looking for an intern to join our team! The intern will work very closely with Xilinx Business Intelligence Strategy Manager within our Wired and Wireless Business Unit. They will be working on automation of Projection Models & scalable reporting platforms. More details will be provided in the interview process.

Education and Qualifications:

  • Student must be currently enrolled in a bachelor’s or master’s Program pursing a Computer Science, Data Science or Software Engineering degree

Qualifications

  1. Programming Skills, some basic statistical programming language, like R or Python, and a database querying language like SQL
  2. A good understanding of statistics, should be familiar with statistical tests, distributions, maximum likelihood estimators, etc.
  3. Understanding of Multivariable Calculus & Linear Algebra concepts for predictive performance or algorithm optimization
  4. Data cleanliness know how to deal with imperfections in data
  5. Data Visualization & Communication, ability to describing your findings, or the way techniques work to audiences, both technical and non-technical
  6. Data Intuition be a data-driven problem solver. What methods should you use? When do approximations make sense?
  7. Machine Learning, this can mean things like k-nearest neighbors, random forests, ensemble methods, etc.

 

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