Sr. Staff Quantitative Product Researcher
| Company | |
|---|---|
| Location | San Francisco, CA, USA, Remote in USA |
| Salary | $158950 – $327000 |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies; an advanced degree in Statistics, Mathematics, or Economics is a plus but not required
- Knowledgeable of relevant statistical concepts (significance testing, regression/linear models)
- Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)
- Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting and strong SQL and Quantitative Programming skills (R, Python, etc.)
- Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact
- Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (from ad sales executives to data scientists to high-level executives)
- Adept communicator with a bias toward action and an excellent collaborator, able to build strong relationships within various cross functional teams within and outside of the monetization org
- Self-starter and problem solver who proactively partners with other (qual and quant) researchers and cross-functional partners, including Product, Data Science, Finance, Product Marketing, Content, Sales, Marketing, Comms, and Brand, to develop new research initiatives with high comfort working in ambiguity
- Knows how to ‘right size’ research approach, i.e., when to deploy tried and tested tools and when to try something new
Responsibilities
- Work across monetization teams and as needed collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem – questions with implications for the business and overall user experience
- Proactively guide teams to the most important questions and problems to address for users and/or the business; set the quantitative learning agenda for Monetization and decide on the best approaches to address it
- Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology, while balancing effort against priority and impact
- Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
- Participate in the development of user-centric metrics for Monetization teams while aiding in the development of core centric user metrics
- Elevate topics from the learning agenda that would be best to present to senior leadership and tailor deliverables and socialization efforts for these audiences
- Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights, and own work to inform product and business decisions
- Lead strategic initiatives and actively engage in the development of strategy with Product, Design, Engineering, and Data Science partners
- Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers
Preferred Qualifications
- Experience with Ad product development/UX research preferred
- PhD preferred, in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience