University Grad Data Scientist

Pinterest
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Job Description

We’re looking for university grad Data Scientists to help us connect Pinners to actionable content that improves the Pinner experience. You’ll apply quantitative analysis, modeling, and data mining to improve the relevance of Pins across our Ads, Search, and Feeds products.

What you’ll do:

  • Perform deep dive analysis to understand and optimize the key levers of our ads and search ecosystems
  • Design core metrics that serve as the North Stars for team efforts and model trade offs across product areas
  • Explore alternative experimentation techniques to help internal teams evaluate their ideas faster
  • Apply statistics, modeling, and ML to improve the efficiency of systems and relevance algorithms across Search, Home Feed, and Related Pins
  • Work with product managers and engineers to design data products and debug A/B experiments

What we’re looking for:

  • MS or PhD in Statistics, Industrial Engineering, Computer Science, Math, Operations Research, Computational Biology, Computational Physics, or another related field
  • Expertise in at least one scripting language, and proficiency in SQL/Hive
  • Knowledgeable about the machine learning trade-offs and model evaluation
  • Experience applying scientific methods to solve-real-world problems on web scale data is a plus

Company Info.

Pinterest

Pinterest is a social media platform that allows users to discover and save ideas for various interests, hobbies, and projects. It has since become a popular visual search engine and bookmarking tool. Users can create boards, which are like virtual pinboards, to organize and save their ideas and inspirations. They can also browse other users' boards and pins to find new ideas, and follow other users with similar interests.

  • Industry
    Social media Company
  • No. of Employees
    1,900
  • Location
    San Francisco, CA, USA
  • Website
  • Jobs Posted

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Pinterest is currently hiring Data Scientist Jobs in San Francisco, CA, USA with average base salary of $120,000 - $190,000 / Year.

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