This role pays more than
77%
of similar roles. Most pay
$151,981–$247,500
— the shaded band above.
At the midpoint, this role pays about
$252k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Pinterest
Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.
Pinterest currently has
48 open roles
on FindRole.
Listed pay typically runs
$177,185–$339,078
across 42 roles with salary data.
As a Staff Data Scientist, Ads Product, you will serve as a pivotal individual contributor within the Ads organization to drive product strategy and operational excellence. You will translate complex business needs into structured analytical problems, ensuring data integrity while providing actionable insights for product, engineering, and business teams. Your daily work involves defining the analytical roadmap, connecting financial performance with product metrics, and influencing senior stakeholders through compelling narratives. The role requires expertise in the ads ecosystem, monetization mechanics, and real-time bidding to solve challenges related to revenue growth and downstream machine learning applications. You will utilize SQL, Python, and data visualization tools like Tableau or Looker. To succeed, you must apply advanced statistical methods, causal inference techniques, and data democratization principles to manage large-scale data and improve overall product performance.
What does a Data Scientist earn in California?
Median $213878 from 88 postings across 32 companies.
Identify product opportunities and provide data-driven insights to inform machine learning applications and strategic goals.
Translate ambiguous business questions into structured analytical problems for product and engineering teams.
Maintain high standards for data integrity, consistency, and reliability across all analytical outputs.
Define the analytical roadmap by converting high-level business problems into actionable data initiatives.
Connect revenue performance data with product metrics to provide a holistic view of growth drivers.
Communicate complex findings and strategic recommendations clearly to technical and non-technical senior stakeholders.
Act as a subject matter expert to share best practices in data analysis and strategy across the organization.
What we're looking for
Bachelor’s/Master’s degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or equivalent practical experience.
8+ years of combined post-graduate academic and industry experience applying advanced analytical methods to solve complex business problems on large-scale data.
Exceptional business acumen and product sense to translate strategic questions into analytical frameworks and actionable recommendations.
Understanding of the ads ecosystem, monetization mechanics, and/or real-time bidding (preferred).
Expertise in data democratization principles, including designing foundational datasets and building business intelligence solutions.
Strong fundamentals in statistics and experimentation, including the ability to apply various causal inference techniques.
Proficiency in SQL, Python, and experience with data visualization tools like Tableau or Looker.
Proven ability to influence cross-functional partners and senior leadership through compelling data narratives.
Data Science
SQL
Python
R
Tableau
Power BI
Looker
Experimentation
Business Intelligence
Data Visualization
Decision Science
Analytics
Modeling
Automation