Senior / Staff Data Scientist, Growth Monetization
Suno is hiring a Senior / Staff Data Scientist, Growth Monetization in New York, United States. It pays $220k-$320k a year and Level rates it ; you can apply on Suno.
Level's read on this job
- Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
- Pay on this posting starts 32% higher than the typical data scientist posting on Level.
- The posting mentions SQL, Python and data science among its tools and skills.
- Level classes it as a senior role.
- Suno has 70 other open roles on Level.
AI in this role
Drive data science for growth and monetization including subscription pricing, packaging, and funnel optimization at an AI music platform.
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 RoleAs 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: https://suno.com/s/RXQ8qqzbx6UGlHsc
What You'll DoDrive 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
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
Hands-on experience with monetization problems (conversion funnels, churn and retention, pricing and packaging, or the economics of a new product line)
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
Excellent cross-functional collaborator: can work closely with product, eng, and design, and influence stakeholders across the company through data
Nice-to-Haves
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
Hands-on AI usage in day-to-day data science work (agents, prompting, building small tools)
A love of music or creative tools
This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience
Additional NotesApplicants must be eligible to work in the US
Perks & Benefits for Full-Time EmployeesCompany Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
11 Paid Holidays + Unlimited PTO & Sick Time
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)
The annual salary range for this role is $220K – $320K + target equity + benefits (including medical, dental, vision, and 401k)
Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.
How we rate this
Senior / Staff Data Scientist, Growth Monetization at Suno rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- This job starts at
- $220k
- Typical data scientist job
- $166k
This posting starts 32% above the typical data scientist job. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where growth monetization was part of your work. What did you do?
- Tell me about a project where pricing strategy was part of your work. What did you do?
- Tell me about a project where a b testing was part of your work. What did you do?
- Tell me about a project where product analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Science, Growth Monetization, Pricing Strategy, A B Testing, and Product Analytics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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