Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $139,764–$287,749 / yr
- Posted
- 7 days ago
- Freshness
- Confirmed live yesterday
Market check
Salary context
How this pay compares to similar roles
This role pays more than 79% of similar roles. Most pay $129,677–$206,500 — the shaded band above. At the midpoint, this role pays about $214k versus about $168k 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 82 open roles on FindRole.
Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.
Most-posted roles
- Software Engineer 18
- Machine Learning Engineer 11
- Data Scientist 8
- Technical Program Manager 6
- Product Manager 5
At a glance
TL;DR · Senior Data Scientist, Marketing
Sr. Data Scientist, Marketing joins the marketing organization to introduce scientific rigor into measurement and optimization processes to drive revenue growth and strategy. This role involves analyzing advertiser behavior across the funnel, designing advanced marketing measurement frameworks, and building statistical models such as propensity, forecasting, and lifetime value to enhance targeting. The candidate will develop attribution methodologies, apply causal inference techniques to assess incremental impact, and build ETL pipelines for automated reporting. Key responsibilities include translating complex findings into actionable insights for cross-functional partners and leadership. Required skills include a master's degree in a quantitative field, expertise in Python or R, proficiency in SQL/Hive, and experience with experimentation frameworks. The role focuses on solving business problems related to marketing ROI, budget allocation, and advertiser growth across both mature and new markets.
What does a Data Scientist earn in Remote?
Median $217225 from 40 postings across 18 companies.
Skills
What you'll do
- Analyze advertiser behavior across the funnel to identify factors influencing acquisition, conversion, retention, and churn.
- Design and implement advanced marketing measurement frameworks and statistical models to quantify marketing ROI.
- Build and deploy machine learning models for propensity, forecasting, and lifetime value to optimize targeting.
- Develop and refine attribution methodologies to evaluate the effectiveness of multi-channel marketing initiatives.
- Use causal inference techniques and experimentation frameworks to assess the incremental impact of marketing activities.
- Conduct strategic analyses to optimize budget allocation and identify opportunities for advertiser growth.
- Translate complex analytical findings into actionable insights and recommendations for technical and non-technical stakeholders.
- Build automated ETL pipelines and dashboards to provide self-serve reporting tools for cross-functional partners.
What we're looking for
- Master's degree in a quantitative field such as mathematics, statistics, computer science, or engineering.
- 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
- Strong background in statistics and quantitative analysis using advanced statistical techniques.
- Experience with causal inference projects and experimentation frameworks.
- Expertise in at least one scripting language, preferably Python or R.
- Proficiency in SQL/Hive with the ability to write efficient queries.
- Hands-on experience building marketing measurement solutions to quantify business impact.
- Excellent communication skills to translate complex findings for both technical and non-technical stakeholders.
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