duolingo
New York · On-site · Full-time
<p>Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!</p> <p>At 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.</p> <p>Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. </p> <p>Read <a href="https://blog.duolingo.com/?utm_source=greenhouse.com&utm_medium=referral&utm_campaign=generalblog_gh_091224">our blog</a> to learn more.</p> <hr> <p style="text-align: left;"><strong>About the role...</strong></p> <p style="text-align: left;">This person will be part of our Growth Data Science team, collaborating with peers and cross-functional partners in Product, Finance, and Strategy to continuously improve our forecasting capabilities. They will drive methodological advances and deliver trustworthy business-critical quarterly forecasts, built on a deep understanding of the dynamics of user growth across Duolingo’s product portfolio.</p> <p style="text-align: left;"> </p> <p><strong>🧠 You will...</strong></p> <ul> <li>Join a small team of data scientists focused on User Growth forecasting. Collaborate with peers and mentor junior data scientists to ensure that our forecasts remain trustworthy and reliably delivered.</li> <li>Work with diverse stakeholders to develop forecasts that reflect a deep understanding of our product development, big bets, and evolving business strategy.</li> <li>Translate complex analytical findings into clear narratives for senior leadership and cross-functional partners. Influence strategic decisions through a combination of technical depth and effective communication.</li> <li>Develop and validate methodological advances to our forecasts, aligning methodological strengths with business priorities.</li> <li>Build systems and processes that ensure our forecasting process is robust and repeatable.</li> </ul> <p> </p> <p><strong>✅ You have...</strong></p> <ul> <li>Applied industry experience building forecasts in messy real world settings where details, confounds, and the validity of assumptions matter.</li> <li>A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques.</li> <li>Demonstrated ability to connect techn
duolingo
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