# Sr. Data Scientist, Monetization

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** San Francisco, CA, Seattle, WA
**Role:** Data Science
**Salary:** $164k – $288k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, Hive, Statistics, Experimentation, Causal Inference, Segmentation Modeling, Real-Time Bidding
**Posted:** 2026-03-18

> Lead data science efforts in monetization by designing experiments, building models for ad pricing and supply, and analyzing trade-offs in ads ecosystem metrics. Requires 5+ years experience, stats expertise, and proficiency in Python/SQL.

## Job Description

## What you’ll do:
- 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 tool kit: 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.

## 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**, **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**.

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