Pinterest9 days ago

Старший исследователь продуктовой аналитики

Salary not specified

MARKET

30,208 ₽median for this role

AI Researcher · 30 jobs with disclosed pay

5,600half of the offers: 16,410–78,975131,300

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San Francisco

Responsibilities

01Lead 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
02Extend measurement work into model stewardship — inform retraining decisions, evaluate generalizability across user segments, and stress-test where models do and don't hold up
03Conduct deep-dive learning analyses to uncover the drivers and levers behind key metrics, and translate those into actionable direction for product and DS partners
04Set 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
05Show up as an equal partner to Data Science and Engineering, shaping the direction of measurement work rather than executing against someone else's spec
06Synthesize across behavioral analyses, experiment results, qualitative insights, and your own work to inform product and business decisions
07Present to senior leadership and tailor socialization for those audiences
08Partner with research managers to set quantitative research direction and mentor more junior quantitative researchers

017+ 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
02Deep expertise in survey methodology (construct validity, reliability, sensitivity), statistical modeling, experimentation at scale, and behavioral analysis
03Experience informing ML model evaluation and maintenance — retraining triggers, generalizability across segments, and known failure modes
04Fluency in R or Python and SQL, and strong data visualization skills
05Demonstrated ability to operate as a peer to Data Science and Engineering — guiding the direction of technical work, not just contributing to it
06Proactive — identifies the important questions and problems even when stakeholders aren't asking, and brings partners along
07Experience working horizontally across teams, developing strategy with xfn partners, and presenting to senior leadership
08Experience successfully leveraging AI tools in the research process with proper discernment and a high quality bar
09PhD preferred in a computational social science (economics, sociology, psychology), statistics, computer science, or related field — or equivalent practical experience

01Relocation Statement: This position is not eligible for relocation assistance
02This 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
03The position is also eligible for equity