S
Suno
Senior / Staff Data Scientist (Growth Monetization)
Skills
SQL QueriesPythonData ScienceData AnalysisAI
1 month ago
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Important information
Contract type:
Permanent
Salary:
$220,000 – $320,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
18 September 2026
What they need
- 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
- 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
Benefits
- Retirement Match: Suno offers a Traditional 401(k) plan and Roth 401(k) plan with a 3% Safe Harbor company match.
- Medical, Dental & Vision: We offer competitive medical, dental, vision insurance for employees and dependents.
- Commuter Benefit: Generous monthly stipend for commuting expenses.
- Lunch Program: Suno offers free lunch 5 days a week in each of our office locations.
- Time Off: Suno employees are provided with unlimited paid time off as well as unlimited sick days + 11 company holidays.
- Creative Education Stipend: Annual reimbursements for creative education and development.
- Parental Leave: 16 weeks of fully paid parental leave to both birthing and non-birthing parents.- 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
- Excellent cross-functional collaborator: can work closely with product, eng, and design, and influence stakeholders across the company through data
- Hands-on experience with monetization problems (conversion funnels, churn and retention, pricing and packaging, or the economics of a new product line)
- 6-8+ years in data science or product analytics roles, ideally owning a revenue or growth surface
- A broad data science toolkit and the judgment to pick the right tool for the right question
- Thrive in ambiguity, excited to wear multiple hats, and never stop learning
- Experience monetizing more than one kind of product: consumer and business, self-serve and sales-assisted, or subscription and usage-based
- Experience taking a new product or business line from zero to its first revenue
- A love of music or creative tools
- Hands-on AI usage in day-to-day data science work (agents, prompting, building small tools)
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