# Sr. Data Scientist, Monetization

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $164,428-$287,749 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/5740948?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a66805a0-998

## Description

We are looking for a Sr. Data Scientist, Monetization 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 XFNs to formulate, experiment, and evolve Pinterest's strategy in the Ads space.

Responsibilities:

- Conduct deep strategic analysis to answer core questions about assessing trade-offs between metrics change and evaluating overall impact from changes in one component of the ads ecosystem.

- Perform opportunity sizing and analysis to identify areas of improvement and investment.

- Build segmentation models to assess supply and inform pricing strategy.

- Improve decision velocity and quality using data scientist tool kits, including experimentation and causal inference techniques.

- Create and track success metrics, breaking down high-level metrics into actionable segments.

- Lead and mentor data scientists in the same area, providing continuous and candid feedback.

Requirements:

- 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, and 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.

Benefits:

- Base salary range: $164,428-$287,749 USD.

- Eligible for equity.

- Flexible working model (PinFlex).

## Skills

### Required
- SQL
- Hive
- Python
- statistics
- experimentation

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/5740948?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)