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# researcher python sql data science computer science

- **Company:** Pinterest
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $164,000.0 - $337,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Visualization, Python (Programming Language), Machine Learning, SQL Databases, Information Technology
- **Published:** August 15, 2026
- **Apply:** https://www.workingnomads.com/job/go/1793422/

## About the Role

* 7+ years of quantitative user research experience with large-scale consumer data, including a track record of leading metric development end-to-end - from construct definition through survey validation, experimental validation, and behavioral proxy/predictive modeling
 * Deep expertise in survey methodology (construct validity, reliability, sensitivity), statistical modeling, experimentation at scale, and behavioral analysis
 * Experience informing ML model evaluation and maintenance - retraining triggers, generalizability across segments, and known failure modes
 * Fluency in R or Python and SQL, and strong data visualization skills
 * Demonstrated ability to operate as a peer to Data Science and Engineering - guiding the direction of technical work, not just contributing to it
 * Proactive - identifies the important questions and problems even when stakeholders aren't asking, and brings partners along
 * Experience working horizontally across teams, developing strategy with xfn partners, and presenting to senior leadership
 * Experience successfully leveraging AI tools in the research process with proper discernment and a high quality bar
 * PhD preferred in a computational social science (economics, sociology, psychology), statistics, computer science, or related field - or equivalent practical experience

## Description

Pinterest is looking for a Sr. Staff Quantitative Product Researcher to lead the development and evolution of user-centered measurement across our consumer experience. As the volume of measurement asks grows, we need a seasoned researcher who can partner with Data Science and Engineering as an equal - not just contributing to metrics work, but guiding it end-to-end and shaping the direction of how we measure the Pinner experience.

In this role, you'll own the full arc of measurement work: identifying what we should be measuring, designing surveys that capture the constructs that matter, validating that our metrics are reliable and sensitive, guiding experimentation plans to prove they can move, and partnering with DS and Eng to build behavioral proxies or predictive models where they're needed. You'll also extend this work into how we evaluate and maintain the systems that depend on these metrics - informing when models need retraining, whether they generalize across user segments, and what levers actually move the outcomes we care about. You'll bring expertise in behavioral analysis, statistical modeling, survey methodology, and experimentation to strategic questions on the holistic Pinner experience, and you'll present findings to senior audiences and partner with leaders to turn learnings into strategy.

What you'll do:

 * Lead the development of user-centered metrics end-to-end: define the construct, design and validate the survey instrument, establish reliability and sensitivity, guide the experimentation plan to prove the metric can move, and partner with DS and Eng to build behavioral proxies or predictive models when appropriate
 * Extend measurement work into model stewardship - inform retraining decisions, evaluate generalizability across user segments, and stress-test where models do and don't hold up
 * Conduct deep-dive learning analyses to uncover the drivers and levers behind key metrics, and translate those into actionable direction for product and DS partners
 * Set and execute the learning agenda across a broad problem space - prioritize the questions that matter most, choose the right methods (surveys, behavioral analysis, quasi-experimental approaches, modeling), and work on the right project at the right time
 * Show up as an equal partner to Data Science and Engineering, shaping the direction of measurement work rather than executing against someone else's spec
 * Synthesize across behavioral analyses, experiment results, qualitative insights, and your own work to inform product and business decisions
 * Present to senior leadership and tailor socialization for those audiences
 * Partner with research managers to set quantitative research direction and mentor more junior quantitative researchers, * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
 * This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.


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