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About the Role
As the Staff Data Scientist for Monetization, you will be the senior-most data science voice across our subscriptions, ads, and growth businesses. You will partner closely with Product, Engineering, Finance, and Marketing to shape how Quizlet grows and monetizes its learner base. You will bring together insights across pricing, paywall, and ad-revenue data to identify new high-value opportunities, run and scale a rigorous experimentation program, recommend data-driven revenue decisions, define key business metrics, and present quantitative research directly to company leadership. Beyond your own analysis, you will set the technical bar and mentor other data scientists working across the monetization domain.
Responsibilities
- Own the analytical strategy across subscriptions, ads, and growth, driving business insights through data at a company-wide level
- Build and scale the experimentation program for pricing, paywall, and checkout tests -- from inception through measurement, analysis, and synthesized recommendation -- and ensure every test has a clear, timely readout
- Own the analytics behind ad monetization decisions, including the pipelines and reconciliation that turn raw ad-server and vendor data into the revenue numbers Finance closes the books with
- Apply causal inference to growth and marketing initiatives that can’t be A/B tested, and champion rigorous measurement wherever growth investments are made
- Set analytical frameworks, metric definitions, and measurement standards that other data scientists and cross-functional partners build on
- Act as the connective tissue between Product, Engineering, Design, Finance, and Marketing on monetization strategy, translating research into concrete recommendations for company leadership
- Mentor and level up other data scientists working across the monetization domain, and drive maturity and excellence in how we measure the success of the business
Requirements
- 6+ years of experience in data science at a consumer internet or subscription/ads-driven company, including demonstrated Staff-level scope and impact
- Deep experience with A/B testing and pricing/paywall experimentation, and using statistical techniques for modeling and predicting user and revenue behavior
- Proven track record owning monetization strategy (subscriptions, ads, or growth) end-to-end, from analysis to leadership recommendation
- Experience owning resilient ETLs, dashboards, and revenue-reconciliation pipelines that the business relies on to close the books
- Advanced SQL skills (window functions, sub-queries, etc.) and comfort partnering directly with Data Engineering on pipeline design
- Track record of setting analytical standards and mentoring other data scientists across a team or org
- Strong communication skills: able to synthesize, visualize, and present complex revenue and experimentation findings to executive leadership
Skills
- dbt
- Airflow
- Python for data manipulation and analyses
- ad-tech vendors
- programmatic revenue reconciliation
- subscription billing systems
Location
- San Francisco
Work Type
- Hybrid
- Onsite
Experience Level
- Staff-level
Education Level
- Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields
Benefits
- Collaborate with your manager and team to create a healthy work-life balance
- 20 vacation days that we expect you to take!
- Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
- Employer-sponsored 401k plan with company match
- Access to LinkedIn Learning and other resources to support professional growth
- Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
- 40 hours of annual paid time off to participate in volunteer programs of choice
About the Company
- At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way.
- We’re 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 each week.
- We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike.
- We’re energized by the potential to power more learners through multiple approaches and various tools.
- Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.
- Massive reach: 60M+ users, 1B+ interactions per week
- Cutting-edge tech: Generative AI, adaptive learning, cognitive science
- Strong momentum: Top-tier investors, sustainable business, real traction
- Mission-first: Work that makes a difference in people’s lives
- Inclusive culture: Committed to equity, diversity, and belonging
Equal Opportunity
- We strive to make everyone feel comfortable and welcome!
- We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
- We provide a transparent setting that gives a comprehensive view of who we are!
- At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.”
- Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.
- As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!