Senior Data Scientist - Monetization & Ads Strategy

Pinterest; Seattle (WA); On-site; USD 164,428 - 287,749; Full time

Job summary

Pinterest is looking for a Data Scientist to join the Monetization Engineering org in Seattle. You will take end-to-end ownership of designing, researching, building, and delivering data products and collaborate with XFNs to evolve our Ads strategy.

You will model segmentation, measure success, and drive pricing-informed insights while enabling experimental rigor with dashboards and tooling. This role emphasizes strong statistics, causal inference, and clear data storytelling across teams.

Qualifications

• 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, experimentation.
• Domain knowledge in ecosystem, ads, or real‑time‑bidding.
• Proficiency in SQL/Hive/Python.

Responsibilities

• Deep strategic analysis to answer core questions such as: How do we assess the trade‑off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?
• Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Modeling: Build segmentation models to assess supply to inform pricing strategy.
• Improve decision velocity and quality using data scientist toolkit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high‑level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time).
• Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high‑quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance.

Skills

SQL/Hive/Python proficiency

Statistics/Experimentation

ads/economics knowledge

Data storytelling

Education

Bachelor's/Master's degree in Data Science or equivalent

Tools

SQL

Hive

Python

Job description

Pinterest is looking for a Data Scientist to join the Monetization Engineering org in Seattle. You will take end-to-end ownership of designing, researching, building, and delivering data products and collaborate with XFNs to evolve our Ads strategy.

You will model segmentation, measure success, and drive pricing-informed insights while enabling experimental rigor with dashboards and tooling. This role emphasizes strong statistics, causal inference, and clear data storytelling across teams.