Staff Data Scientist - Monetization & Growth

Quizlet; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

401k plan with company match

Wellness benefits

Time off for volunteering

Job summary

Quizlet is seeking a Staff Data Scientist for Monetization in San Francisco to lead analytics across subscriptions, ads, and growth. You will partner with Product, Engineering, Finance, and Marketing to uncover high-value opportunities, run rigorous experimentation, and drive data-driven revenue decisions.

You will define metrics, ensure robust measurement, and mentor other data scientists, while balancing hands-on analysis with strategic leadership in a hybrid onsite role.

Qualifications

• 6+ years of data science experience at consumer internet or subscription/ads-driven companies
• Proven skills in A/B testing and pricing/paywall experimentation
• Experience owning monetization strategy end-to-end
• Experience building ETLs, dashboards, and revenue-reconciliation pipelines
• Advanced SQL skills and collaboration with Data Engineering

Responsibilities

• Own analytical strategy across subscriptions, ads, and growth
• Lead experimentation program for pricing, paywall, and checkout tests
• Oversee analytics behind ad monetization and revenue numbers
• Apply causal inference to growth initiatives lacking A/B tests
• Set analytic standards and measurement frameworks for data science
• Bridge Product, Engineering, Design, Finance, and Marketing on monetization strategy
• Mentor data scientists across the monetization domain

Skills

A/B testing

Pricing

Monetization strategy

SQL

Python

ETL pipelines

Data visualization

Mentoring

Communication

Education

Degree in quantitative field

Tools

dbt

Airflow

Job description

Quizlet is seeking a Staff Data Scientist for Monetization in San Francisco to lead analytics across subscriptions, ads, and growth. You will partner with Product, Engineering, Finance, and Marketing to uncover high-value opportunities, run rigorous experimentation, and drive data-driven revenue decisions.

You will define metrics, ensure robust measurement, and mentor other data scientists, while balancing hands-on analysis with strategic leadership in a hybrid onsite role.