Senior Data Science Manager (User Growth)

Join our team as a Senior Data Science Manager, where you will lead the data science function within our Growth pillar. You will own all aspects of product data science, forecasting, and business intelligence for User Growth. You will lead a team of 6 to 10 data scientists, set the analytical vision and roadmap for User Growth data science, and collaborate with cross-functional leadership in Engineering, Product, Design, and Finance.

• Lead the data science function within the Growth pillar, overseeing product data science, forecasting, and business intelligence for User Growth.
• Build and manage a high-performing team of data scientists, fostering a culture of professional growth and intellectual rigor.
• Drive the design, execution, and interpretation of experiments and analyses that inform decisions on user acquisition, activation, retention, and reengagement.
• The ideal candidate combines deep technical fluency in forecasting, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences
• Proven ability to build, lead, and grow a high-performing data science team. You have a track record of hiring well, developing people across levels, managing performance, and creating an environment where talented scientists do their best work
• Experience using data science and analytics to solve product and business problems
• A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques
• Applied industry experience using causal inference, experimentation, and/or machine learning models. You routinely use analytical tools in messy real world settings where details, confounds, and the validity of assumptions matter
• Strong command of SQL, Python or R, and data/analytics engineering ecosystems. You do not need to write production pipelines, but you need to go deep when the work requires it
• Experience managing 5+ person data science teams
• Experience operating at a high-growth, data-intensive consumer technology company
• Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes
• Demonstrated success in building forecasting systems or attribution models at scale
• Experience navigating the transition from growth-stage to scaled public company, including the analytical demands that come with investor-grade reporting and forecasting
• Experience with AI and machine learning as applied to user behavior modeling, notification optimization, or personalization
• An impressive Duolingo streak