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.

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.

About the Role:

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.

We're 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.

We're 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.

In this role, you will:

• 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 can't be A/B tested, and champion rigorous measurement wherever growth investments are made
• Set analytical frameworks, metric definitions, and measurement standards that other data scientists and cross-functional partners build on
• Act as the connective tissue between Product, Engineering, Design, Finance, and Marketing on monetization strategy, translating research into concrete recommendations for company leadership
• Mentor and level up other data scientists working across the monetization domain, and drive maturity and excellence in how we measure the success of the business

What you bring to the table:

• 6+ years of experience in data science at a consumer internet or subscription/ads-driven company, including demonstrated Staff-level scope and impact
• Deep experience with A/B testing and pricing/paywall experimentation, and using statistical techniques for modeling and predicting user and revenue behavior
• Proven track record owning monetization strategy (subscriptions, ads, or growth) end-to-end, from analysis to leadership recommendation
• Experience owning resilient ETLs, dashboards, and revenue-reconciliation pipelines that the business relies on to close the books
• Advanced SQL skills (window functions, sub-queries, etc.) and comfort partnering directly with Data Engineering on pipeline design
• Track record of setting analytical standards and mentoring other data scientists across a team or org
• Strong communication skills: able to synthesize, visualize, and present complex revenue and experimentation findings to executive leadership

Bonus points if you have:

• Experience with dbt
• Experience writing ETL using Airflow
• Expertise in Python for data manipulation and analyses
• Experience with ad-tech vendors, programmatic revenue reconciliation, or subscription billing systems
• Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields

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!
• Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
• Employer-sponsored 401k plan with company match
• Access to LinkedIn Learning and other resources to support professional growth
• Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
• 40 hours of annual paid time off to participate in volunteer programs of choice

We strive to make everyone feel comfortable and welcome!

We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.

We provide a transparent setting that gives a comprehensive view of who we are!