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It’s a big mission, and that’s where you come in!\nAt Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds - while doing work that’s both meaningful and fun.\nJoin our life-changing mission to develop education for our half a billion (and growing!) learners around the world. \nRead our blog to learn more.\nAbout the role\n You will...\nDerive insights from data to influence product roadmaps and drive business results\nApply advanced analytical and AI methods to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions\nEvaluate product experiments to create and improve user experiences\nDevelop dashboards, reports, and/or forecasts\nEnsure the quality of our tracking and data collection\nHelp preserve our culture of fact-based decision making as we scale\n You have...\nPursuing an undergraduate or Masters degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science, ML/AI) with expected graduation in Spring/Summer 2027\nStrong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes\nPrevious experience analyzing large datasets and communicating results\nSkilled in SQL, Python or R, and/or statistical methods to analyze behavioral data\nExcellent presentation and communication skills\nEnthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture\nAble to relocate to Pittsburgh, PA or New York, NY\n Exceptional candidates will have...\nExperience with \"big data\" and cloud computing technologies like BigQuery, Snowflake, and/or dbt\nExperience articulating business questions and using available data to find answers that translate into product recommendations\nSelf-starter, with a desire both to learn new techniques and guide others\nFamiliarity with AI tools such as Cursor, a knack for prompt 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