Senior Data Scientist, Growth Forecasting

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!

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.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

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.

• 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.
• Work with diverse stakeholders to develop forecasts that reflect a deep understanding of our product development, big bets, and evolving business strategy.
• 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.
• Develop and validate methodological advances to our forecasts, aligning methodological strengths with business priorities.
• Build systems and processes that ensure our forecasting process is robust and repeatable.

• Applied industry experience building forecasts in messy real world settings where details, confounds, and the validity of assumptions matter.
• A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques.
• Demonstrated ability to connect technical results to real-world recommendations, and to translate product and business changes into technical requirements.
• Strong command of SQL, Python, AI analysis tools, and data/analytics engineering ecosystems. 
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences.

• Experience operating at a high-growth consumer technology company, including experience with user growth forecasting specifically.
• Experience at a public company, including the analytical demands that come with investor-grade reporting and forecasting.
• An impressive Duolingo streak.