Sr. Data Scientist, Monetization

About the Role

We are looking for Data Scientists to join our Monetization Engineering organization. You will take end-to-end ownership of designing, researching, building, and delivering data products, as well as collaborate with cross-functional partners to formulate, experiment, and evolve Pinterest’s strategy in the Ads space.

What you'll do

• Deep strategic analysis: Answer core questions such as assessing trade-offs between metric changes and evaluating overall impact from changes in the ads ecosystem.
• Opportunity sizing and analysis: Write clear, actionable analyses that help teams identify areas of improvement and investment (e.g., adjusting programmatic ad load).
• Modeling: Build segmentation models to assess supply to inform pricing strategy.
• Improve decision velocity and quality: Apply experimentation and causal inference techniques, design measurement strategy, advise on experimentation best practices, identify flaws in experiment practices/results, and build tools for experiment analysis.
• Metrics tracking: Identify and track measures of success for engineering teams, break down high-level metrics into actionable segments, collect datasets, and build dashboards.
• Leadership: Lead and mentor the scope of work for data scientists in the area, providing continuous and candid feedback.

What we're looking for

• Bachelor’s/Master’s degree in a relevant field such as Data Science, or equivalent experience.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong fundamentals in statistics and experimentation.
• Domain knowledge in ecosystem, ads, or real-time-bidding.
• Proven ability to apply scientific methods to solve real-world problems on web-scale data.
• Proficiency in SQL/Hive/Python.