Sr. Data Scientist

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 LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.Why Join Quizlet?Massive reach: 60M+ users, 1B+ interactions per weekCutting-edge tech: Generative AI, adaptive learning, cognitive scienceStrong momentum: Top-tier investors, sustainable business, real tractionMission-first: Work that makes a difference in people’s livesInclusive culture: Committed to equity, diversity, and belongingAbout the Team:The Content Platform & Experience team owns how learning content is created, found and studied on Quizlet. It spans Content Platform (user-generated study material and its quality and safety), Search, Creation and Conversational AI experience. We partner closely with the Data Platform team, who manage our data stores and with the product team.About the Role:As the Data Scientist for Content Platform & Experience, your goal is to build trust in our data and enable the team to answer most questions on their own. You'll make sure content, search and Coach data reaches our data store correctly, define the metrics we rely on, focus on high-stakes experiments, search and recommendation evaluation, and measure how well AI Coach helps learners. 30% of the time will be on data engineering efforts, ensuring our search data pipeline is optimized and reliable.In this role, you will:Own data quality that we rely on to measure the health of the domain and iterate on experiments.Write tracking plans and data contracts for new features so every launch has trusted usage data from day one.Define engagement metrics for content health, search quality and conversational experiences, and make them available in Omni dashboards the teams use every week.Design and analyze high-stakes A/B tests across search ranking, AI feature rollouts and content featuresOwn the dbt models and contract tests that feed our search indexes, and build reproducible training and offline-evaluation datasets for search ranking and recommendation models.What you bring to the table:4+ years in data science or product analytics, with a degree in statistics, computer science, economics, math or another quantitative fieldAdvanced SQL and proficiency in PythonHands-on experience designing and analyzing A/B tests, with solid statistics (hypothesis testing, regression, causal inference basics)Hands-on data modeling in a warehouse (e.g., dbt on BigQuery), including data contract testsWorking knowledge of batch pipelines (e.g., Airflow): incremental loads, backfills, and the order changes must ship inExperience owning data quality for a product area: event instrumentation, tracking plans and validationExperience building training or evaluation datasets from product logsA track record of helping non-technical partners self-serve data, through training, documentation or well-designed dashboardsClear written and verbal communicationBonus points if you have:Experience with Omni, Looker or another BI semantic layerRecommender evaluation (recall, NDCG) or feature stores such as FeastLLM or conversational AI evaluation (e.g., Arize)Work LocationWe’re happy to share that this is a hybrid position in our San Francisco/New York office. To support collaboration, we ask employees to be in the office at least two days a week: Wednesday and Thursday.Compensation, Benefits & Perks:Collaborate with your manager and team to create a healthy work-life balance20 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 matchAccess to LinkedIn Learning and other resources to support professional growthPaid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits40 hours of annual paid time off to participate in volunteer programs of choiceWe 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!In Closing: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. #LI-OnsiteTo All Recruiters and Placement AgenciesAt this time Quizlet does not accept unsolicited agency resumes and/or profiles.Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.Compensation Range: $161,011 - $211,326LocationSan Francisco, CA; New York, NYEmployment TypeFull timeLocation TypeHybridDepartmentEngineeringCompensationData Science - IC3 - SF / NY / SEABase Salary $161,011 – $211,326