Data Scientist at Suno building analytics and insights for music discovery, social engagement, and creator experiences. Focus on metrics, experimentation, and product strategy across content platforms.
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 Menlo Ventures, Lightspeed Venture Partners, Matrix Partners, NVentures (venture arm of NVIDIA).
As a Data Scientist on Content + Social, you'll help shape how people discover, listen to, share, and engage with music on Suno. You'll work across three product areas — content experiences (listening, playlisting, and feed), social (helping build out what community and interaction look like on Suno), and artists + creators (understanding creator patterns and how we support them). You'll build insights, run experiments, and partner closely with product and engineering teams to shape what we build. This is a great role for someone who wants to have ownership across multiple product areas and is eager to grow their technical skills, product intuition, and collaboration.
Check out the Suno version of this role here!!!
Build frameworks for understanding how users discover and engage with content
Support our emerging social experiences and creator programs by defining metrics and surfacing insights as we build
Track content trends and supply health across the platform to inform product strategy
Design and analyze experiments across content, social, and creator areas
Contribute to building strong data foundations as part of our awesome data science team
3+ years experience in data science roles, ideally with experience in content platforms, social products, or creator ecosystems
Advanced proficiency in SQL, Python, and statistical modeling
Experience designing and running experiments, with ability to derive clear insights and make strategic recommendations
Strong product sense and excellent communication skills, with experience working across product and engineering teams
Curiosity and eagerness to learn across multiple product areas, with a willingness to dig into unfamiliar domains
A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning
Bonus: Background in music, audio, social products, or content discovery platforms
Additional Notes: Applicants must be eligible to work in the US.
Company 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)
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.