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Data Science and Analytics Technical Lead, Offline Experimentation

 

Data Science and Analytics Technical Lead, Offline Experimentation

San Francisco | California | United States

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 online (obtaining feedback from pinners through their engagement with changes) and offline (obtaining labels from human evaluators or Pinners on questions about the content or change) evaluations provide a mechanism to measure the success of the idea.

As Pinterest evolves the number of surfaces where offline evaluation can play a crucial role in evaluating our innovation, we are looking for a highly technical Data Scientist to lead our science effort in defining and evolving the impact that can be achieved through offline experimentation. This role is a technical lead position with the possibility of direct management depending on the experience of the candidate.

What you’ll do:

  • Lead our science investments to solve key measurement challenges involving offline evaluation data - from increasing the sensitivity of measurement within a budget-constrained system to defining the approach we take to create a meaningful measurement of the value a new product innovation will provide to Pinners or advertisers
  • Collaborate with engineering leaders and product partners to build and evolve the tools that enable us to capture and interpret offline evaluation data
  • Act as a thought leader in the offline experimentation space - build a roster of high-impact analytical opportunities and partner with engineering leads and product managers to define the future direction and strategy for increasing the value offline experimentation provides to the company
  • Mentor data scientists and analysts by providing continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance

What we’re looking for:

  • Advanced degree in a quantitative field with 6+ years of industry experience and a proven track record of applying statistical methods to solve real-world problems using big data
  • Experience working with experimentation, measurement or human evaluation platforms and a past experience related to the evolution of these platforms
  • Demonstrated execution and impact on initiatives that cross multiple product areas and interface with leadership and product teams
  • Demonstrated expertise in leading, influencing, and (preferably) managing others
  • Passion for management and influencing the career of others
  • Self-propelled continuous learner who keeps up with new tools and methodologies and builds prototypes with concepts learned
  • Expert in Python or R

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