Pinterest brings millions of people the inspiration to create a life they love. To evolve this mission our product and engineering teams need to innovate. The key to understanding how innovation on the product will change our business is through measurement, and the faster we can evaluate these ideas, the faster we can innovate. Experimentation is at the core of this evaluation - and both implicit (obtaining feedback from pinners through their engagement with changes) and explicit (obtaining labels from human evaluators or Pinners on questions about the content or change) signals can be used to evaluate the success of the idea.
Teams within Pinterest run thousands of such experiments each year, but there is a substantial opportunity to improve the value derived from each experiment and the speed at which we unlock this value; impact in this space transforms both the productivity of our teams and the speed of innovation at the company. We are looking for a highly technical Data Scientist who is passionate about driving innovation to join a small team of data scientists to shape and evolve our experimentation tooling and our culture of experimentation.
What you’ll do:
What we’re looking for:
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