JobPosting
title: Senior Data Science Manager, User Growth
description: Our mission at Duolingo is to develop the best education in the world and make it universally available. We are looking for a Senior Data Science Manager to lead the data science function within our Growth pillar, one of the most consequential areas of the business. Responsibilities: Set the analytical vision and roadmap for User Growth data science Lead a team of 6 to 10 data scientists Support and evolve the practice of embedding Data Scientists within product development teams Own the design, execution, and interpretation of experiments and analyses that drive decisions on user acquisition, activation, retention, and reengagement Develop and maintain user growth forecasting systems Drive business intelligence strategy within Growth Translate complex analytical findings into clear narratives for senior leadership and cross-functional partners Requirements: Experience using data science and analytics to solve product and business problems Experience managing 5+ person data science teams A graduate degree in Data Science, Statistics, Economics, or a related quantitative field Applied industry experience using causal inference, experimentation, and/or machine learning models Proven ability to build, lead, and grow a high-performing data science team Strong command of SQL, Python or R, and data/analytics engineering ecosystems Exceptional communication skills, both written and verbal Benefits: Competitive salary ($204,000-$306,000 USD) Equity compensation Comprehensive benefits package
date posted: 2026-07-29T16:55:25.656Z
valid through: 2026-10-01T16:02:42.539Z
direct apply: false
occupational category: Data Science
industry: Technology
skills: data science
skills: analytics
skills: machine learning
skills: SQL
skills: Python
skills: R
skills: leadership
skills: AI
skills: user behavior modeling
skills: notification optimization
skills: personalization
skills: forecasting systems
skills: attribution models
hiring organization: Duolingo
job location: Place
  address: PostalAddress
    address locality: New York
    address region: NY
    address country: US
employment type: FULL_TIME
base salary: MonetaryAmount
  currency: USD
  value: QuantitativeValue
    min value: 204000
    max value: 306000
    unit text: YEAR