Senior / Staff Data Scientist, Growth Product

About the Role
As a data Scientist on Growth Product, you’ll own the analytics for the early-life user journey: everything from the moment someone lands on Suno through their first sessions, first songs, and first reasons to come back. A user’s first few experiences are some of the most important inflection points in their lifecycle, and getting them right is one of the highest-leverage problems at Suno. You’ll lead data science support on the Growth Activation team, working very closely with product, engineering, and design.

What You’ll Do
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 on Suno

Design experiments that improve the early-life journey, from push notifications and lifecycle messaging to product surfaces like Hooks, Create, and net-new experiences

Sit on a centralized data science team but serve as the lead DS on Growth Activate, collaborating closely with product, engineering, and design

Advance our 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 our awesome data science team

What You’ll Need
Must-Haves
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

A self-starter mentality with an ownership mindset: you thrive in ambiguity, wear multiple hats, and never stop learning

Strong cross-functional collaboration: you 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