Sr. Data Scientist, Monetization at Pinterest

**Who this is for** This role is for a senior-level data scientist focused on the monetization ecosystem, specializing in ads performance, pricing strategies, a

Work type: hybrid

Location: San Francisco, CA, US; Seattle, WA, US

Salary: $164,428 – $287,749/yr

Type: Full-time

Summary

**Who this is for** This role is for a senior-level data scientist focused on the monetization ecosystem, specializing in ads performance, pricing strategies, and experimental measurement. **Key highlights** You will take ownership of end-to-end data products within the Monetization Engineering team, providing strategic insights that optimize ad loads and improve the efficiency of Pinterest’s advertising business. **You might be a good fit if you...** - Have 5+ years of post-graduate experience applying scientific methods to web-scale data. - Possess deep domain knowledge in ecosystem dynamics or real-time-bidding (RTB). - Are highly proficient in SQL, Hive, and Python. - Demonstrate strong mentorship skills and the ability to lead complex analytical projects.

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](https://www.pinterestcareers.com/our-life/pinflex/) 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](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/).

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.

• 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.

This position is not eligible for relocation assistance. Visit our [PinFlex](https://www.pinterestcareers.com/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.

US based applicants only
$164,428—$287,749 USD

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