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...

We’re looking for a Data Scientist to join our Data Science & Analytics team, with a focus on Monetization data modeling and insights. You will be responsible for analyzing how current and future product changes impact our business performance metrics, then concisely communicating those insights to partner teams. You will also work closely with engineering teams and product managers to harness that understanding and improve the app through experimentation. By working cross-functionally to empower our partners with empirical insights, you will drive real change and measurable impact for Duolingo every day.

  You will...

• Derive insights from data to influence product roadmaps and drive business results
• Embed in teams with product managers and engineers to design, run, and analyze experiments to improve user experiences
• Apply advanced analytical methods to model user behavior and estimate the impact of potential new features. Partner with product and engineering teams to develop and implement solutions.
• Build dashboards, reports, and/or forecasts (e.g., Sigma, Tableau, Plotly) to analyze trends, make recommendations, and help preserve our culture of fact-based decision-making as we scale
• Collaborate with other data scientists to level up our company's scientific capabilities and data footprint
• Ensure the quality of our tracking and data collection is high (and improving)

  You have...

• Bachelor’s degree in a relevant field (e.g., Data Science, Economics, Business Analytics, Information Systems)
• 1-2 years of experience in data science, advanced data analytics, business intelligence, or related role
• Advanced SQL skills to build datasets that enable ad-hoc analyses and efficient visualization
• Expertise in data visualization tools such as Sigma, Tableau, Hex, or Looker for full-stack data analysis, insight synthesis, and presentation
• Professional or academic experience with experimentation, A/B testing, and/or causal inference
• Experience in programming (e.g., Python, R) to extract, transform, clean, and analyze large amounts of data
• Outstanding problem-solving abilities and the capacity to distill complex data into concise explanations and actionable insights
• Excellent verbal and written communication skills that facilitate collaboration with both technical and non-technical partners
• Ability to relocate to and work in our New York or Pittsburgh office

  Exceptional candidates will have...

• Master's degree in data science, economics, statistics, or an equivalent quantitative field
• Experience analyzing financial, subscription or monetization-related data
• Experience training machine learning models and deploying them in production
• Experience at a high-growth company that has undertaken an IPO
• An impressive Duolingo XP or streak!

Take a peek at how we care for our employees' holistic well-being with our benefits here.

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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