Role Overview
Pinterest is hiring a Senior Data Scientist, Monetization. This is a full-time role in San Francisco, CA, US; Seattle. Part of Pinterest's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Senior-level Data Science roles is $164k-$215k (based on 96 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
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 XFNs to formulate, experiment, and evolve Pinterest’s strategy in the Ads space.
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.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
About Pinterest

pinterest.com
183 other open roles at Pinterest on TryApplyNow.
Frequently Asked Questions
How do I apply for the Senior Data Scientist, Monetization position at Pinterest?
Use the Apply button above to submit your application directly to Pinterest. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Data Scientist, Monetization position at Pinterest located?
This position is based in San Francisco, CA, US; Seattle. Pinterest has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Data Scientist, Monetization at Pinterest earn?
Pinterest has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Data Scientist, Monetization role at Pinterest posted?
This role was posted on June 4, 2026 (48 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Data Scientist, Monetization role at Pinterest require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Pinterest lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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