Staff Data Scientist, Monetization

Pinterest Pinterest · Consumer · Toronto, ON · Monetization

Data Scientist role focused on ads delivery and optimization at Pinterest. The role involves evolving ad strategy, improving experimentation, leading technical projects, and communicating findings. While AI is mentioned as a tool to augment creativity and amplify impact, and candidates are expected to leverage AI for faster execution and synthesis, the core responsibilities are centered around traditional data science, experimentation, and ad delivery systems, not building or researching AI models themselves. The role is classified as consumer domain, mature AI maturity, and L6 (shipped product) due to its focus on optimizing ads, which are a core product feature.

What you'd actually do

  1. Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
  2. Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
  3. Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists based in the Toronto office.
  4. Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
  5. Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.

Skills

Required

  • SQL
  • Python
  • Strong business and product sense
  • Excellent communication skills
  • Experience leading key technical projects

Nice to have

  • working knowledge of ads delivery and optimization systems
  • Experience in digital ad delivery stacks

What the JD emphasized

  • 8+ years of combined post-graduate academic and industry experience
  • Proven ability to apply scientific methods to solve real-world problems on web-scale data
  • Experience leading key technical projects and substantially influencing the scope and output of others
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.