Data Scientist

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.

About the role

  You will...

• Derive insights from data to influence product roadmaps and drive business results
• Apply 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
• Evaluate product experiments to create and improve user experiences
• Develop dashboards, reports, and/or forecasts
• Ensure the quality of our tracking and data collection
• Help preserve our culture of fact-based decision making as we scale

  You have...

• Pursuing 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 Fall 2027 or Spring/Summer 2028
• Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes
• Previous experience analyzing large datasets and communicating results
• Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data
• Excellent presentation and communication skills
• Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture
• Able to relocate to Pittsburgh, PA or New York, NY

  Exceptional candidates will have...

• Experience with "big data" and cloud computing technologies like BigQuery, Snowflake, and/or dbt
• Experience articulating business questions and using available data to find answers that translate into product recommendations