Senior Data Science Manager, User GrowthActive$306K

The opportunity

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!

What you'll do

  • Set the analytical vision and roadmap for User Growth data science, ensuring: the team's work is tightly aligned with company-level priorities and pillar-level goals.

  • Lead a team of 6 to 10 data scientists. Build a culture of professional: growth, intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent.

  • Support and evolve the practice of embedding Data Scientists within product: development teams, simultaneously maintaining strong stakeholder connection and function cohesion.

  • Own the design, execution, and interpretation of experiments and analyses: that drive decisions on user acquisition, activation, retention, and reengagement. Improve and advocate for the methodological standards that ensure we learn reliably from every test.

  • Develop and maintain user growth forecasting systems. Partner with Finance: and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.

  • Drive business intelligence strategy within Growth, including the metrics: layer, self-serve dashboards, and the analytical infrastructure that enables others to operate with data fluency.

What they're looking for

  • 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.
  • Collaborate across organizational boundaries with Product Management,: Engineering, Design, Marketing, and Finance to elevate every phase of product development.
  • Experience using data science and analytics to solve product and business problems.
  • Experience managing 5+ person data science teams.