Staff Data Scientist
Quizlet· Computer Software· Oct 23, 2026 · 4d ago
San Francisco, CA
Hybrid
Full-time
Staff
$180K–$250K est.
6+ years exp
Job description
ABOUT QUIZLET:
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.
IN THIS ROLE, YOU WILL:
- You will define and execute the end-to-end data science roadmap for user monetization. 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 data behind ad monetization decisions, including the pipelines and reconciliation that turn raw ad-server and vendor data into the revenue numbers for Finance
- Apply causal inference to growth and marketing initiatives that can’t be A/B tested, and champion rigorous measurement wherever growth investments are made
- Drive the long-term vision for internal analytics tooling, experimentation platforms, and feature engineering pipelines.
- 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
WHAT YOU BRING TO THE TABLE:
- 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
- Experience with dbt
- Proven experience writing ETL using Airflow
- Expertise in Python for data manipulation and analyses
- Track record of setting analytical standards and mentoring other data scientists across a team or org
- Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields
- Strong communication skills: able to synthesize, visualize, and present complex revenue and experimentation findings to executive leadership
BONUS POINTS IF YOU HAVE:
- Experience with ad-tech vendors, programmatic revenue reconciliation, or subscription billing systems
- Advanced Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields
COMPENSATION, BENEFITS & PERKS:
- 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
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!
IN CLOSING:
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!
#LI-Onsite
TO ALL RECRUITERS AND PLACEMENT AGENCIES:
AT THIS TIME QUIZLET DOES NOT ACCEPT UNSOLICITED AGENCY RESUMES AND/OR PROFILES.
PLEASE DO NOT FORWARD UNSOLICITED AGENCY RESUMES TO OUR WEBSITE OR TO ANY QUIZLET EMPLOYEE. QUIZLET WILL NOT PAY FEES TO ANY THIRD-PARTY AGENCY OR FIRM NOR WILL IT BE RESPONSIBLE FOR ANY AGENCY FEES ASSOCIATED WITH UNSOLICITED RESUMES. ALL UNSOLICITED RESUMES RECEIVED WILL BE CONSIDERED THE PROPERTY OF QUIZLET.
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Keywords to mirror
machine learningaisqlpython
- Platform
- ashby
- Effort
- quick
Benefits
Benefits detected in the listing.
Dental
Vision
401k
Paid Time Off
Wellness