Senior / Staff Data Scientist, Growth Monetization
Data scientist on Suno's Growth Monetization team, owning pricing, packaging, paywalls, conversion, churn, and revenue models for the AI music platform's subscription business and new bets. Runs end-to-end experiments and builds metrics and unit economics for new product lines; requires strong SQL, Python, and statistical rigor; on-site in NYC 5 days/week.
- Compensation
- $220K–$320K / yr
- Location
- NYC
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Full time
- Experience
- 8+ years
- Category
- Data science
- Posted
Skills
Must have
- 6-8+ years in data science or product analytics roles, ideally owning a revenue or growth surface
- Advanced proficiency in SQL, Python, and statistical modeling
- Deep experimentation experience grounded in statistical rigor, designing and running experiments end to end
- Hands-on experience with monetization problems (conversion funnels, churn and retention, pricing and packaging, or new product line economics)
- Broad data science toolkit and judgment to pick the right tool for the right question
- Thrive in ambiguity, wear multiple hats, and never stop learning
- Excellent cross-functional collaborator who can influence stakeholders through data
- Must be eligible to work in the US
- Work from the designated Suno office 5 days a week
Nice to have
- Experience monetizing more than one kind of product (consumer/business, self-serve/sales-assisted, subscription/usage-based)
- Experience taking a new product or business line from zero to first revenue
- Hands-on AI usage in day-to-day data science work (agents, prompting, building small tools)
- A love of music or creative tools
Full description
About Suno
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment 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 Monetization, you'll drive all things monetization from the data science perspective: how we price, package, convert, and retain. That spans our subscription business today and new business bets we're actively exploring. You'll shape how we grow revenue at Suno, and work very cross functionally across product, engineering, design, and the rest of the data science team
Listen to the song we made about it:
What You'll Do
- Drive all things monetization, from subscription conversion and churn to the revenue models for our newest business bets
- Design and run experiments across pricing, packaging, paywalls, offers, and other revenue surfaces
- Build the data foundation for new business lines from day one: the metrics, funnels, and unit economics for products that are just taking shape
- Sit on a centralized data science team but serve as the lead DS for your product area, collaborating closely with product, engineering, and design
- Advance our mission of making creative fulfillment a daily reality for everyone by building a business model that works for every kind of creator
- Contribute to building strong data foundations as part of our awesome data science team
What You'll Need
Must-Haves
- 6-8+ years in data science or product analytics roles, ideally owning a revenue or growth surface
- 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