Senior / Staff Data Scientist, Growth Product
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Job Description
About Suno We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music.
Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition.
The pace is fast, the problems are hard, and the work demands ownership and intensity.
For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
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 scie