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SunoSunoNew York, NY

Senior / Staff Data Scientist, Growth Product

Data scientist owning analytics and experimentation for new user activation and habit formation in Suno's early-life journey. Requires 5-7+ years in consumer data science/product analytics, advanced SQL/Python/statistical modeling, and deep experimentation experience.

240k – 300k
On-site7+ YOEData Science

About the role

Responsibilities

  • Own the analytics for how new users activate and form habits on Suno, from signup and onboarding through everything that happens in their first week.
  • Design experiments that improve the early-life journey, from push notifications and lifecycle messaging to product surfaces like Hooks, Create, and net-new experiences.
  • Lead data science support on the Growth Activation team, collaborating closely with product, engineering, and design.
  • Advance the mission of making creative fulfillment a daily reality for everyone by turning first visits into daily creative habits.
  • Contribute to building strong data foundations as part of the data science team.

Requirements

  • 5-7+ years in data science or product analytics roles, ideally on consumer products.
  • Advanced proficiency in SQL, Python, and statistical modeling.
  • Deep experimentation experience grounded in statistical rigor: designing and running experiments end to end, deriving clear insights, and making strategic recommendations.
  • A broad data science toolkit and the judgment to pick the right tool for the right question, all ultimately in service of making thoughtful product decisions.
  • Self-starter mentality with an ownership mindset: thrive in ambiguity, wear multiple hats, and never stop learning.
  • Strong cross-functional collaboration: work closely with product, eng, and design, and influence stakeholders and teams through data insights.

Nice-to-Haves

  • Experience at a fast-growing consumer app, or a startup that scaled through strong product-led growth.
  • Background in activation, lifecycle, or growth analytics.
  • Hands-on AI usage in day-to-day data science work (agents, prompting, building small tools).
  • A love of music or creative tools.

Skills

SQLPythonStatistical ModelingExperimentationA/B TestingProduct AnalyticsData AnalysisGrowth AnalyticsLifecycle AnalyticsAI Tools

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