Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $163,639–$336,903 / yr
- Posted
- 7 days ago
- Freshness
- Confirmed live 3 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 82% of similar roles. Most pay $154,750–$225,800 — the shaded band above. At the midpoint, this role pays about $250k versus about $190k 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 Staff Quantitative Product Researcher
As a Sr. Staff Quantitative Product Researcher, you will lead the development and evolution of user-centered measurement across the consumer experience. You will own the full arc of measurement work by defining constructs, designing survey instruments, validating metric reliability, and guiding experimentation plans to prove movement. Partnering as an equal with Data Science and Engineering teams, you will build behavioral proxies, develop predictive models, and manage model stewardship tasks like retraining decisions and stress-testing for generalizability across user segments. The role requires deep expertise in survey methodology, statistical modeling, and behavioral analysis to solve complex problems regarding the holistic Pinner experience. You will utilize R, Python, and SQL to conduct deep-dive learning analyses while presenting findings to senior leadership. This position involves mentoring junior researchers and leveraging AI tools within the research process.
Skills
What you'll do
- Lead the end-to-end development of user-centered metrics including construct definition, survey design, and validation.
- Partner with Data Science and Engineering to build behavioral proxies and predictive models for product measurement.
- Perform model stewardship by evaluating generalizability across segments and informing retraining decisions for machine learning systems.
- Conduct deep-dive analysis to identify the drivers behind key metrics and translate findings into actionable product directions.
- Establish and execute a research agenda by prioritizing high-impact questions and selecting appropriate methodologies like survey design or experimentation.
- Synthesize behavioral data, experimental results, and qualitative insights to inform core business decisions.
- Present research findings and strategic recommendations to senior leadership teams.
- Mentor junior quantitative researchers and help set the overall direction for the quantitative research team.
What we're looking for
- 7+ years of quantitative user research experience with large-scale consumer data and end-to-end metric development.
- Deep expertise in survey methodology, statistical modeling, experimentation at scale, and behavioral analysis.
- Experience informing ML model evaluation, including retraining triggers, generalizability across segments, and failure modes.
- Fluency in R or Python and SQL with strong data visualization skills.
- Demonstrated ability to partner as a peer to Data Science and Engineering teams to guide technical work.
- Experience leveraging AI tools in the research process with high quality standards.
- Experience presenting to senior leadership and developing strategy with cross-functional partners.
- PhD in computational social science, statistics, computer science, or related field (preferred); or equivalent practical experience.
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