Quick summary
- Work type
- Hybrid
- Location
- San Francisco, CA
- Salary
- $139,764–$287,749 / yr
- Posted
- 2 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 79% of similar roles. Most pay $126,800–$205,725 — the shaded band above. At the midpoint, this role pays about $214k versus about $166k 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 55 open roles on FindRole.
Listed pay typically runs $158,765–$320,320 across 55 roles with salary data.
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- Director, Machine Learning Engineering – Content & User Understanding 1
- Engineering Manager, Developer Agents 1
At a glance
TL;DR · Sr. Data Scientist, Marketing
As a Data Scientist in Pinterest’s Marketing team, you will introduce greater scientific rigor into marketing measurement and optimization processes to drive revenue growth and shape strategic decisions. Your day-to-day responsibilities include analyzing advertiser behavior across the funnel, designing advanced marketing measurement frameworks, building statistical models like propensity scoring and forecasting, and developing attribution methodologies to evaluate marketing effectiveness. You will also conduct deep analyses to improve marketing ROI and budget allocation, translating complex findings into actionable insights for senior leadership. Key skills required are a master’s degree in a quantitative field, 6+ years of experience applying scientific methods, expertise in Python or R, proficiency in SQL/Hive, and strong business acumen. This role involves working on large-scale data challenges to enhance advertiser growth and revenue through innovative marketing initiatives.
Skills
What you'll do
- Analyze advertiser behavior to identify factors influencing acquisition, conversion, retention, and churn.
- Design and implement advanced marketing measurement frameworks and statistical models to quantify ROI.
- Build and deploy machine learning models such as propensity, forecasting, and LTV models for optimization.
- Develop attribution methodologies to evaluate the effectiveness of marketing initiatives across channels.
- Conduct causal inference analyses to assess the incremental impact of marketing activities.
- Translate complex analytical findings into clear insights and strategic recommendations for stakeholders.
What we're looking for
- 6+ years of combined experience in applying scientific methods to solve real-world problems.
- Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
- Expertise in building marketing measurement solutions and quantifying business impact.
- Strong background in advanced statistical techniques and machine learning models.
- Proficiency in Python/R and SQL/Hive for data analysis and ETL pipelines.
- Excellent communication skills to translate complex findings into actionable insights.
- Experience leading technical projects and conducting causal inference analyses.
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