Senior / Staff Data Scientist, Growth Product

Suno

active

Official active full-time posting for Senior / Staff Data Scientist, Growth Product at Suno, located in NYC.

Role facts

Employer	Suno
Location	NYC
Work mode	On-site / not stated
Remote scope	unknown
Employment	full-time
Function	Research & data
Track	industry
Seniority	staff_or_principal
Compensation	unknown
Posted	2026-07-13
Work authorization	Applicants must be eligible to work in the US.
Official posting	Open official posting ↗

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

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

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