Sr. Staff Quantitative Product Researcher
San Francisco, CA, US; Remote, US
R
USD 163K-336K Senior-level Full Time
Tasks
- Build behavioral proxies and predictive models
- Conduct deep dive learning analyses
- Design survey instruments and validate constructs
- Establish survey reliability and sensitivity
- Evaluate metric generalizability across user segments
- Guide experimentation plans to validate metrics
- Identify drivers and levers for key metrics
- Inform model retraining decisions
- Lead end to end measurement development
- Mentor quantitative researchers
- Partner with data science and engineering on predictive modeling
- Present findings to senior leadership
- Prioritize research questions and choose methods
- Set and execute quantitative learning agenda
- Stress test model failure modes
- Synthesize behavioral experiments and qualitative insights
- Translate findings into actionable product direction
Perks/Benefits
- N/A
Skills/Tech-stack
Behavioral Analysis | Data Visualization | Experimental Methods | Experimentation | Machine Learning | Model Evaluation | Model retraining | Predictive Modeling | Python | Quasi Experimental | Quasi-experimental methods | R | SQL | Statistical modeling | Survey Methodology
Education
Master of Arts | Master of Science | PhD | PhD in Computer Science | PhD in Economics | PhD in Psychology | PhD in Statistics
Regions
Countries
States
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