Data Scientist

About Quizlet:

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Weâre 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. Weâre 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 peopleâs lives

Inclusive culture: Committed to equity, diversity, and belonging

The Data Science, Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers  team outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying and driving inquiry on behalf of leaders at the company.

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.

As the Staff Data Scientist for Monetization, you will be the senior-most data science voice across our subscriptions, ads, and growth businesses, partnering 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, enabling you to identify new high-value opportunities, run and scale a rigorous experimentation program, recommend data-driven revenue decisions, define the key metrics the business is run on, 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.

Weâre happy to share that this is an onsite 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.

Weâre happy to share that this is an hybrid position in our San Francisco office. To support collaboration, we ask employees to be in the office at least two days a week:
Wednesday and Thursday.

• 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 canât be A/B…