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DuolingoDuolingoNew York, NY

Senior Data Science Manager, User Growth

Lead a 6-10 person data science team for Duolingo's User Growth pillar. Own experimentation, forecasting, BI, and analytical strategy to drive acquisition, retention, and business decisions. Requires 5+ years managing data scientists, graduate degree, and expertise in ML, causal inference, and SQL/Python.

204k – 306k/yr
On-site8+ YOEData Science

About the role

Responsibilities

  • Set the analytical vision and roadmap for User Growth data science, ensuring alignment with company priorities and goals.
  • Lead a team of 6-10 data scientists: build culture of growth, rigor, and impact; hire and expand the team.
  • Support embedding Data Scientists in product teams while maintaining functional cohesion.
  • Design, execute, and interpret experiments and analyses for user acquisition, activation, retention, and reengagement; improve methodological standards.
  • Develop and maintain user growth forecasting systems; partner with Finance and Product on credible forecasts and resource allocation.
  • Drive business intelligence strategy, including metrics, dashboards, and analytical infrastructure.
  • Translate complex findings into clear narratives for leadership; influence strategic decisions.
  • Collaborate with Product, Engineering, Design, Marketing, and Finance across product development.

Requirements

  • Experience using data science and analytics to solve product and business problems.
  • Experience managing 5+ person data science teams.
  • Graduate degree in Data Science, Statistics, Economics, or related quantitative field (or equivalent expertise).
  • Applied experience with causal inference, experimentation, and/or ML models in real-world settings.
  • Proven ability to build, lead, and grow high-performing data science teams (hiring, development, performance management).
  • Strong command of SQL, Python or R, and data/analytics engineering ecosystems.
  • Exceptional written and verbal communication skills.

Nice-to-Haves

  • Experience at a high-growth, data-intensive consumer technology company.
  • Success developing long-range analytical vision shaping product strategy.
  • Experience building forecasting systems or attribution models at scale.
  • Experience with transition from growth-stage to scaled public company, including investor-grade reporting.
  • Experience with AI/ML for user behavior modeling, notification optimization, or personalization.
  • An impressive Duolingo streak.

Skills

SQLPythonRMachine LearningCausal InferenceExperimentationForecastingData VisualizationBusiness Intelligenceanalytics engineering

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