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Pinterest

Sr. Data Scientist, Monetization

San Francisco, CA, US; Seattle, WA, US
Salary
$164,428 - $287,749
Level
Senior

Not stated in the posting: work type, visa.

Open. First seen 3 October 2026.

Apply on www.pinterestcareers.com →

About the role

About Pinterest:

Pinterest's standard text

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.

#LI-HYBRID

#LI-JT6

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.

Pinterest's standard text

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$164,428—$287,749 USD

Pinterest's standard text

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

What this role asks for

Standard for data science / ML roles

Python · SQL

Common in data science / ML postings at any company.

51% of this description is written for the role. The rest is Pinterest's standard text, folded away below.

Read against Pinterest's other open postings on this site.

The team: Engineering, Product and Design (L2)

This role is one of 6 open in Engineering, Product and Design (L2).

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

SQL (4 of 6), Machine Learning (3 of 6), Python (3 of 6), R (2 of 6), Test Automation (2 of 6)

OTHER ROLES ON THIS TEAM

From the team and dates on Pinterest's own job board.

See Data Scientist salaries in San Francisco →

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