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Marketing Jobs In California, United States

Browse For Marketing Jobs In California, United States. Find The Job Of Your Dreams On AnalyticTalent.com Today!
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  • Google
  • Mountain View, California United States
  • 07/20/2017
  • Business Intelligence
The Mobile App Sales team has big ambitions and global reach. You will engage deeply with sophisticated mobile-first businesses and drive change to accelerate Google’s position in the fast-growing and strategic business of app install. As a Creative Analytics Lead, you will be part of a team dedicat...  More Details
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  • nVidia
  • Santa Clara, California United States
  • 07/20/2017
  • Data Scientist
We Are Now Looking For a Data Science Intern Love gaming? Love data? Join us. NVIDIA is looking to hire an intern to work with decision makers in the Gaming product marketing and planning group. The ideal candidate for this role is highly motivated, loves gaming, and relishes working on big-data sca...  More Details
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  • Uber
  • San Francisco, California United States
  • 07/20/2017
  • Data Scientist
About Uber Uber is a technology company that is changing the way the world thinks about transportation. We are building technology people use everyday. Whether it's heading home from work, getting a meal delivered from a favorite restaurant, or a way to earn extra income, Uber is becoming part of th...  More Details
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  • McAfee
  • Santa Clara, California United States
  • 07/20/2017
  • Data Analytics
This person will join a fast growing Data Analytics team responsible for designing data models that aggregate our disparate data sets, mining data for insights that inform marketing and product strategies, and help design reporting architectures across our products and online properties to help opti...  More Details
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  • Electronic Arts (EA)
  • Redwood City, California United States
  • 07/06/2017
  • Data Analytics
Position Overview The Data Scientist position is part of the Data Science team within the Global Analytics and Insights group in Electronic Art’s Global Marketing Organization. A successful candidate will use his or her expertise in applied machine learning to drive critical decisions in a cross-fun...  More Details
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