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 Content Platform & Experience team owns how learning content is created, found and studied on Quizlet. It spans Content Platform (user-generated study material and its quality and safety), Search, Creation and Conversational AI experience. We partner closely with the Data Platform team, who manage our data stores and with the product team.

About the Role

As the Data Scientist for Content Platform & Experience, your goal is to build trust in our data and enable the team to answer most questions on their own. You'll make sure content, search and Coach data reaches our data store correctly, define the metrics we rely on, focus on high-stakes experiments, search and recommendation evaluation, and measure how well AI Coach helps learners. 30% of the time will be on data engineering efforts, ensuring our search data pipeline is optimized and reliable.

In this role, you will

Own data quality that we rely on to measure the health of the domain and iterate on experiments.

Write tracking plans and data contracts for new features so every launch has trusted usage data from day one.

Define engagement metrics for content health, search quality and conversational experiences, and make them available in Omni dashboards the teams use every week.

Design and analyze high-stakes A/B tests across search ranking, AI feature rollouts and content features

Own the dbt models and contract tests that feed our search indexes, and build reproducible training and offline-evaluation datasets for search ranking and recommendation models.

What you bring to the table

4+ years in data science or product analytics, with a degree in statistics, computer science, economics, math or another quantitative field

Advanced SQL and proficiency in Python

Hands-on experience designing and analyzing A/B tests, with solid statistics (hypothesis testing, regression, causal inference basics)

Hands-on data modeling in a warehouse (e.g., dbt on BigQuery), including data contract tests

Working knowledge of batch pipelines (e.g., Airflow): incremental loads, backfills, and the order changes must ship in

Experience owning data quality for a product area: event instrumentation, tracking plans and validation

Experience building training or evaluation datasets from product logs

A track record of helping non-technical partners self-serve data, through training, documentation or well-designed dashboards

Clear written and verbal communication

Bonus points if you have

Experience with Omni, Looker or another BI semantic layer

Recommender evaluation (recall, NDCG) or feature stores such as Feast

LLM or conversational AI evaluation (e.g., Arize)

Work Location

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

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!