Sr. Data Scientist

Pinterest Pinterest · Consumer · Toronto, ON · Engineering, Product and Design (L2)

Senior Data Scientist at Pinterest focused on shaping people-facing and business-facing products. The role involves quantitative modeling, experimentation, and algorithms to solve complex engineering challenges. A key aspect is leveraging AI tools for faster execution, information synthesis, and automating tasks, with a strong emphasis on critically evaluating AI-assisted work and maintaining high integrity.

What you'd actually do

  1. Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love.
  2. Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
  3. Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
  4. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
  5. Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches).

Skills

Required

  • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields.
  • Familiarity with online experimentation and its pitfalls.
  • A scientifically and statistically rigorous approach to analysis and data.
  • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R).
  • Excellent communication skills and ability to explain learnings to both technical and non-technical partners, including Product and Machine Learning teams.
  • A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions.
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Nice to have

  • Experience solving problems within digital advertising is preferred.

What the JD emphasized

  • critical evaluation and verification of AI-assisted work
  • avoid over-reliance on AI
  • remain accountable for final decisions and deliverables