Quizlet

Staff Data Scientist, Analytics - Core Product

San Francisco, CA Full Time
About Quizlet:

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month,  including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.

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.

About the Team:

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 at scale. Our 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.

About the Role:

As a Staff Data Scientist on the Core Product Analytics team, you’ll partner closely with Product, Engineering, and Design to uncover insights that shape Quizlet’s product strategy. You’ll design experiments, develop analytical frameworks, and define metrics that measure success and drive product growth.

This role is ideal for a data scientist who loves translating complex data into clear, actionable recommendations. You’ll own end-to-end analytics for core product areas—informing roadmaps, running A/B tests, and ensuring that every major product decision is backed by evidence.

This is an onsite position in our San Francisco office, requiring at least three days per week (Monday, Wednesday, and Thursday) in the office.