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Data Scientist, Ads Delivery
  • Python
  • SQL
  • Big Data
  • Product Analytics
Pinterest
San Francisco, CA 94103
181 days ago

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping users make their lives better in the positive corner of the internet. We’re looking for a Data Scientist to help the Ads Product Analytics and Data Science team with making sound product decisions through experimentation with the end goal of surfacing high-quality ads for every Pinner.

We’re looking for a well rounded Data Scientist to help the Ads Quality Product Analytics and Data Science team with surfacing high-quality ads for every Pinner.

What you’ll do :

  • This is a generalist data scientist position with a focus on a combination of Experimentation, Relevance and Ranking
  • Understand the complex end to end ranking system and identify the bottlenecks and opportunities
  • Work closely with product and engineering teams to develop metrics and metric visualizations, test hypotheses, measure model performance, improve models and generate actionable insights by identifying gaps in our ML stack
  • Improve relevance and engagement metrics and models
  • Establish and enforce the guidelines for experimentation within the Ads team, working closely with the Pinterest’s experimentation team. Do deep dives into Ads experiment results and provide guidance in shipping decisions

What we’re looking for :

  • Advanced degree in a quantitative field with 5+ years of industry experience with a proven track record of applying statistical methods to solve real-world problems using big data
  • Experience as a team lead
  • Industry experience in one (2+ is preferred) of the following areas: Online experimentation, Ranking, Relevance
  • Demonstrated aptitude for building the data sets needed to test a hypothesis, even when the data itself is challenging to access
  • Self-propelled continuous learner who keeps up with new tools and methodologies and builds prototypes with concepts learned
  • Expert in SQL and Python (or R)
  • Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  • Experience in Ads and Tech leading large project will be preferred

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