Senior Growth Data Science Lead

Duolingo

Northern (KY)

Hybrid

USD 204.000 - 306.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Duolingo seeks a Senior Data Science Manager to lead the data science function within User Growth, owning forecasting, experimentation, and BI for a fast-growing product platform.

You will manage 6 to 10 data scientists, coach talent, hire over time, and partner with Engineering, Product, Design, and Finance to drive measurable growth and data-driven decisions across user acquisition, activation, retention, and reengagement.

Qualifikationen

  • Experience leading 5+ person data science teams.
  • Graduate degree in Data Science, Statistics, Economics, or related field.
  • Proven ability to hire and grow high-performing data scientists.
  • Strong SQL, Python or R, and analytics tooling.
  • Experience with causal inference, experimentation, and ML models.

Aufgaben

  • Set the analytical vision and roadmap for User Growth data science.
  • Lead a team of 6–10 data scientists; coach and grow talent.
  • Embed data scientists within product development teams.
  • Design, execute, and interpret experiments to inform growth decisions.
  • Develop and maintain growth forecasting systems and dashboards.
  • Collaborate with Product, Engineering, Design, Marketing, and Finance.
  • Translate findings into clear narratives for senior leadership.

Kenntnisse

Data science leadership
Team management
SQL
Python
R
Experimentation
Causal inference
Machine learning

Ausbildung

Graduate degree in Data Science / Statistics / Economics

Tools

SQL tooling

Jobbeschreibung

Duolingo seeks a Senior Data Science Manager to lead the data science function within User Growth, owning forecasting, experimentation, and BI for a fast-growing product platform.

You will manage 6 to 10 data scientists, coach talent, hire over time, and partner with Engineering, Product, Design, and Finance to drive measurable growth and data-driven decisions across user acquisition, activation, retention, and reengagement.

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