Staff Data Scientist

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.

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

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

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

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!

At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.”

Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.

As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

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