Sr. Data Scientist, Monetization
Posted by employer 2 years ago
First seen on Joblaze 6 months ago
Last verified on the company career page 12 hours ago
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 15, 2026. Last confirmed on Pinterest's careers page October 29, 2026.
- Salary band is in line with the typical range for Data Science roles (median ~$179,500).
- Starts above 34% of 65 comparable senior data science roles in United States that list Python we track (median $177,500 across 39 companies). See Python salary trends
- Python appears in 71.4% of 119 comparable senior data science roles in United States; Hive appears in 2.5% of 119 comparable senior data science roles in United States.
Quick facts
- Is the Sr. Data Scientist, Monetization role remote?
- It's hybrid — Pinterest expects some on-site time in San Francisco, CA, US; Seattle, WA, US.
- What's the salary range?
- Pinterest lists $164,428–$287,749 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Sr. Data Scientist, Monetization role.
- Where is the role based?
- Pinterest is hiring for this position in San Francisco, CA, US; Seattle, WA, US.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Hive, Python, SQL.
- What seniority level is this role?
- Pinterest targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Data Scientist, Monetization role at Pinterest.
From the original posting
About Pinterest:
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.
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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.
Our Commitment to Inclusion:
Standard company text repeated across Pinterest's postings is omitted here.