Data Scientist, Analytics - Core Product

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.

Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.

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.

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.

• Focus on driving business insights through data to guide product strategy and feature development
• Develop analytical frameworks and foundations to enable actions and next steps in the business
• Embed within a product pod, collaborating with partners across Product, Engineering, and Design
• Develop experimentation strategy and support A/B testing from inception to measurement and analysis
• Explore, develop, and present insights that inform product roadmap and strategy using Quizlet’s rich learning dataset
• Define and track key performance metrics that measure success across product initiatives

• 5+ years of experience in data science at a consumer internet company (or 3+ years with a Master’s or PhD)
• Experience running A/B tests and applying statistical techniques to model and predict user behavior
• Proven experience working with product teams to drive strategy through insights and modeling
• Experience creating and owning resilient ETLs and dashboards that power business metrics
• Advanced SQL skills (window functions, sub-queries, etc.)
• Strong communication skills to synthesize, visualize, and communicate ideas effectively

• Experience with dbt or Airflow
• Expertise in Python for data analysis and modeling
• Degree in Math, Physics, Statistics, Economics, Computer Science, or another quantitative field

• Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $239,500 -$285,000 depending on location and experience, as well as company stock options
• 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 Linked In Learning and…