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Data Scientist - NVIDIA

nVidia


Location:
Santa Clara, California
Date:
08/17/2017
2017-08-172017-10-16
Categories:
  • Data Analytics
  • Data Scientist
  • Statistician
nVidia
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Job Details

Love Gaming? Love Data? If you answered yes to both questions - join us! We are looking to fill a key role in our GeForce Data Science team, which is the analytic hub of NVIDIA's product marketing organization. Be at the forefront of our revolution to learn and apply groundbreaking data science techniques to aid in the development of product solutions and business strategies. If you're highly motivated, love gaming, and relish working on big-data scale problems to make a significant impact on business.

 

What You’ll Be Doing

  • Mine massive amounts of data and perform large-scale data analysis to derive useful business insights into product, customer, and market behavior
  • Understand business problems, translate them into quantitative models, and choose the best applicable statistical and analytical tools to drive a solution
  • Develop descriptive, predictive, and prescriptive models using data analysis and engineering and machine learning.
  • Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating results to cross functional groups

Requirements

What We Need To See

  • MS or MBA with extensive quantitative experience on large data scale problems
  • 5+ years of experience in using statistical, data mining and machine learning techniques to solve business problems
  • Deep knowledge and experience with Hadoop and machine learning toolkits like Python sklearn, R. Deep Learning exposure is a plus.
  • Hands on experience with taking business problems, crafting and building quantitative frameworks/models
  • A real passion for problem-solving, doing vs talking, developing creative solutions, and continuous learning

     

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

#deeplearning

We are an AA/EEO/Veterans/Disabled employer

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