Sr. Staff Data Scientist at Quizlet
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

0.0

Posted On

16 Aug, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.
About the Team:
The Data Science team’s core objective is to distill actionable intelligence from our vast datasets, directly influencing Quizlet’s trajectory. We are in the process of a strategic realignment, sharpening our focus on data quality and the development of sophisticated AI-powered analytical tools. As the team’s technical lead, you will be pivotal in this evolution, partnering with executive leadership to define and evangelize a focused set of key business and product metrics.
About the Role:
Quizlet is seeking a visionary Senior Staff Data Scientist to spearhead our mission of translating raw data into a strategic roadmap that guides our product and company. As the technical cornerstone of the Data Science team, you will be instrumental in cultivating a culture of analytical rigor and empowering the organization with democratized insights.
As a Sr. Staff Data Scientist, you will serve as the technical authority for the team. Your primary responsibility will be to conduct in-depth analyses to unearth the most critical levers that drive our core metrics. Your insights will be the bedrock of our product initiatives, and you will be accountable for forecasting and measuring the impact of these initiatives on business outcomes. Your work will directly empower our product teams to transform Quizlet into a personalized, AI-driven learning coach that boosts user engagement, retention, and monetization. You will provide mentorship to a high-performing team of data scientists, fostering a culture of innovation and high-impact execution.
We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per 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.

Responsibilities
  • Architect and Execute a Strategic Analytical Roadmap: You’ll define and drive the technical roadmap for data science at Quizlet, directly enabling key business metrics such as Engaged Learners and Revenue Growth
  • Define and Evangelize Core Metrics: Collaborate with executive leadership and cross-functional teams, including Product, Consumer Engineering, Marketing, and Finance, to establish, instrument, and champion a concise set of core business and product metrics
  • Identify and Quantify Growth Levers: Conduct comprehensive, deep-dive analyses to identify and quantify the controllable input metrics that have the most significant influence on our core business outcomes
  • Champion Technical Excellence and Mentorship: Set the technical direction for the data science team, providing guidance and mentorship to foster a culture of analytical rigor, innovation, and impactful execution
  • Drive Impact Accountability: Be accountable for the accuracy of forecasts and the precise measurement of the impact of identified levers on business outcomes
  • Cross-Functional Partnership and Influence: Work in close partnership with leaders in Product, Applied AI, and Data Engineering to realize a shared vision of an AI-powered learning experience. Influence the broader engineering organization by establishing best practices for data analysis, experimentation, and insight generation
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