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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in quantitative user research, statistical modeling, and survey methodology, with a strong ability to translate complex analyses into actionable insights for product and business decisions. Proficient in collaborating with cross-functional teams, including Data Science and Engineering, to drive measurement strategies and mentor junior researchers.
Highest-signal resume keywords
Quantitative User ResearchStatistical ModelingSurvey MethodologyR or Python and SQLData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Metric DevelopmentConstruct DefinitionSurvey ValidationExperimental ValidationBehavioral Proxy ModelingReliability TestingSensitivity TestingMachine Learning Model EvaluationBehavioral AnalysisDeep-Dive Learning Analyses
Soft Skills
CollaborationMentoringPresentation SkillsStrategic Development
Tools & Technologies
AI ToolsData Visualization Tools
Certifications & Qualifications
PhD in Computational Social SciencePhD in StatisticsPhD in Computer Science
Industry Keywords
Consumer DataUser-Centered MetricsExperimentation PlanningModel StewardshipCross-Functional Partnerships
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead the end-to-end development of user-centered metrics, including construct definition, survey design and validation, reliability and sensitivity testing, experimentation planning, and behavioral proxy or predictive model development
- Extend measurement work into model stewardship by informing retraining decisions, evaluating generalizability across user segments, and stress-testing model limitations
- Conduct deep-dive learning analyses to identify drivers and levers behind key metrics
- Translate analyses into actionable direction for product and Data Science partners
- Set and execute the learning agenda across a broad problem space
- Partner as an equal with Data Science and Engineering to shape measurement work
- Synthesize behavioral analyses, experiment results, qualitative insights, and research findings to inform product and business decisions
- Present findings to senior leadership
- Partner with research managers to set quantitative research direction and mentor junior quantitative researchers
Requirements
What you’ll need- 7+ years of quantitative user research experience with large-scale consumer data
- Track record leading metric development end-to-end, from construct definition through survey validation, experimental validation, and behavioral proxy or predictive modeling
- Deep expertise in survey methodology, including construct validity, reliability, and sensitivity
- Expertise in statistical modeling, experimentation at scale, and behavioral analysis
- Experience informing ML model evaluation and maintenance, including retraining triggers, segment generalizability, and failure modes
- Fluency in R or Python and SQL
- Strong data visualization skills
- Ability to operate as a peer to Data Science and Engineering and guide technical work direction
- Experience working horizontally across teams, developing strategy with cross-functional partners, and presenting to senior leadership
- Experience leveraging AI tools in the research process with discernment and a high quality bar
- PhD in a computational social science, statistics, computer science, or related field preferred, or equivalent practical experience
Benefits
Comp & perks- Equity eligibility
- Flexible working model through PinFlex
- In-person collaboration only 1–2 times every 6 months
- Medical or religious accommodation support during the application process