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Quizlet is a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions weekly. The company blends cognitive science with machine learning to personalize learning experiences.
As Staff Data Scientist for Monetization, you will be the senior-most data science voice across subscriptions, ads, and growth businesses. You'll partner closely with Product, Engineering, Finance, and Marketing to shape how Quizlet grows and monetizes its learner base.
Key responsibilities include: owning analytical strategy across subscriptions, ads, and growth at company-wide level; building and scaling the experimentation program for pricing, paywall, and checkout tests from inception through measurement and recommendation; owning analytics behind ad monetization decisions including pipelines and revenue reconciliation; applying causal inference to growth and marketing initiatives that can't be A/B tested; setting analytical frameworks and metric definitions that cross-functional partners build on; acting as connective tissue between Product, Engineering, Design, Finance, and Marketing on monetization strategy; and mentoring other data scientists across the monetization domain.
You'll need 6+ years of data science experience at consumer internet or subscription/ads-driven companies with demonstrated Staff-level scope and impact. Deep expertise required in A/B testing, pricing/paywall experimentation, statistical modeling, and owning monetization strategy end-to-end. You must have experience owning resilient ETLs, dashboards, and revenue-reconciliation pipelines; advanced SQL skills; and a track record of setting analytical standards and mentoring data scientists. Strong communication skills essential for presenting complex findings to executive leadership.
Bonus qualifications include dbt experience, Airflow ETL writing, Python proficiency, ad-tech vendor or programmatic revenue reconciliation expertise, and quantitative degree backgrounds.
