Manager II, Data Science

Pinterest Job AdvertisementsSeattle, WA
4hRemote

About The Position

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Requirements

  • Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field, OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field.
  • SQL
  • Python
  • R
  • Statistical Modeling
  • Forecast
  • Behavior Modeling
  • Operations Research
  • Supply Chain
  • Tableau
  • Git
  • AWS
  • Any suitable combination of education, training and experience is acceptable.

Responsibilities

  • Build and grow a high performance team of data scientists that are thought partners to the team that builds Merchant and Advertiser Tools and Experiences.
  • Use business acumen with a deep understanding of key business metrics and the ability to leverage data insights to drive growth and achieve tangible business outcomes.
  • Work with product and engineering partners help identify and answer important “why” questions.
  • Lead the team to structure ambiguous business challenges into actionable plans.
  • Ensure that the team produces consistently trustworthy and high-quality technical outputs that influence the business.
  • Drive data-driven decision-making aligned with the organization's strategic objectives.
  • Communicate complex analytical findings and insights to both technical and non-technical stakeholders in a clear and concise manner.
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