Sr. Staff Data Scientist

San Francisco, CA
Data Science – Data Science, Analytics /
Full-time /
On-site

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In-Office Policy

  • This position requires in-person attendance, reporting to our San Francisco office a minimum of three days per week (Monday, Wednesday, and Thursday), or as required by Quizlet. Do you currently reside within a commutable distance?✱

Additional Questions

  • How did you hear about us?✱
  • What are your preferred pronouns?✱
  • Are you located in the United States?✱
  • Are you currently legally eligible to work in the United States for Quizlet?✱
  • Will you now or in the future require visa sponsorship for employment by Quizlet?✱
  • What city & state do you currently reside in?✱

Additional Information - Sr. Staff Data Scientist

  • Tell me about the most rigorous non-experiment causal analysis you’ve led end-to-end. What identification strategy did you choose (e.g., diff-in-diff, IV, RDD, synthetic control), how did you check the assumptions, and what decision did it change?✱
  • Imagine a learning app funnel: acquisition → onboarding → first study session → weekly return → subscription. Pick two output metrics you’d hold yourself accountable for, then propose three specific controllable input metrics you’d instrument and move first. How would you prioritize and verify that moving them causes lift?✱
  • Describe a project where you modeled user–content or user–user interactions as a graph to uncover growth or quality levers. What graph features/algorithms did you use (e.g., community detection, PageRank, diffusion), and how did insights translate into product changes or experiments?✱
  • In a Weekly Business Review setting, if Engaged Learners and Revenue are the outputs, which 3–5 controllable input metrics would you hold teams accountable for next quarter? Give precise definitions, likely failure modes (gaming/regression to mean), and the guardrails/forecasts you’d use.✱

U.S. Equal Employment Opportunity information   (Completion is voluntary and will not subject you to adverse treatment)

Our company values diversity. To ensure that we comply with reporting requirements and to learn more about how we can increase diversity in our candidate pool, we invite you to voluntarily provide demographic information in a confidential survey at the end of this application. Providing this information is optional. It will not be accessible or used in the hiring process, and has no effect on your opportunity for employment.

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