Staff Data Scientist
Staff Data Scientist owning analytics for Quizlet's monetization businesses (subscriptions, ads, growth): building pricing/paywall experimentation programs, revenue-reconciliation pipelines, and causal measurement, then presenting insights to leadership. Core stack: advanced SQL, Python, dbt, Airflow, A/B testing.
- Compensation
- $192K–$252K / yr
- Location
- San Francisco, CA
- Work setup
- Hybrid
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Data science
- Posted
Skills
Must have
- 6+ years of experience in data science at a consumer internet or subscription/ads-driven company, including Staff-level scope and impact
- Deep experience with A/B testing and pricing/paywall experimentation, and statistical modeling of 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 the business relies on to close the books
- Advanced SQL skills (window functions, sub-queries) 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: synthesize, visualize, and present complex revenue and experimentation findings to executive leadership
Nice to have
- Experience with dbt
- Experience writing ETL using Airflow
- Expertise in Python for data manipulation and analyses
- Experience with ad-tech vendors, programmatic revenue reconciliation, or subscription billing systems
- Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields
Full description
About Quizlet:
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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.
Let’s Build the Future of Learning
Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.
Why Join Quizlet?
🌎 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
About the Team:
The Monetization team’s mission is to help more learners discover and experience the value of Quizlet while building a sustainable business that allows us to invest in learning for the long term. The team is supported by Machine Learning and Data Engineering teams that partner with data scientists to ensure we are building a data-driven culture.
Within this team, this role sits inside Monetization -- the group responsible for subscriptions, ads, and growth -- where data science is the backbone of how we understand and grow revenue.
About the Role:
As the Lead Data Scientist on Monetization, you won’t just analyze data or surface insights—you’ll have end-to-end ownership alongside Product and Engineering. You’ll use data to identify opportunities, develop hypotheses, design experiments, and help shape the solutions we build. You’ll also have the opportunity to build models, work directly with engineers to productionize them, and see their impact on learners and the business in real time.
This is a role for a Data Scientist who wants to be a builder: someone who can move fluidly from insight → hypothesis → model → production → measurable impact, working side-by-side with the team throughout the entire lifecycle.
We’re happy to share that this is a hybrid position. To help foster team collaboration, we require that employees be in the office at a minimum of three days a week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.