Marketing Data Scientist

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 Suno's marketing team is scaling fast, and we need a Marketing Data Scientist to be the analytical partner driving smarter acquisition decisions. You'll own the data that tells us which channels work, which creatives perform, and where to invest our next dollar. You'll design and analyze marketing experiments, build attribution models that actually reflect reality, and turn messy data into clear answers. You'll work directly with our performance marketing and creative teams, helping them understand which campaigns are hits and where to invest next. This isn't a "pull reports and send dashboards" role. You'll be actively shaping how we spend our budget, testing new hypotheses, and solving problems we haven't figured out yet. If you're someone who gets energized by digging into data until it makes sense—and wants to help millions of people discover Suno—this could be a great fit. Check out the Suno version of this role here: https://suno.com/s/D2ZtlzdFGnWyZKFs WHAT YOU'LL DO - Run marketing experiments – Design and analyze A/B tests and incrementality tests to figure out which channels actually drive growth (not just which ones get the last click). - Own attribution modeling – Build and maintain multi-touch attribution that reflects the real customer journey. You'll challenge platform-reported numbers and reconcile discrepancies until we have a model we can trust. - Keep our data clean – Be the person who makes sure our marketing spend data is accurate. When someone asks "is this CAC number right?" you'll know the answer and how to fix it if it's not. - Analyze creative performance fast – Our creative team iterates quickly. You'll help them understand what's resonating (and what's not) so they can double down on what works. - Analyze subscriber economics – Monitor LTV, retention, and payback periods by cohort, channel, and country. Help us understand the unit economics that drive our business. - Grow with the role – As you get deeper into the business, you'll take on bigger problems: running mixed media models, forecasting performance, identifying international expansion opportunities, and partnering with lifecycle teams on retention strategies. WHAT YOU’LL NEED - 2-4 years doing marketing or growth analytics – You've worked with acquisition data before and know your way around CAC, LTV, payback periods, and ROAS. - Strong SQL skills – You're comfortable querying large datasets in Snowflake (or similar) without needing hand-holding. - Experiment design experience – You know how to set up A/B tests, calculate statistical significance, and explain why incrementality testing matters. - Clear communication – You can translate complex analyses into insights that non-technical teams can act on. Bonus points if you can do this without making people's eyes glaze over. - Ownership mentality – You take pride in data quality and don't pass the buck when numbers don't add up. NICE TO HAVE - Experience building custom attribution models or working with attribution tools - Background in consumer subscription businesses (bonus if you've seen a team scale from startup to growth stage) - Familiarity with mixed media modeling (MMM) - Python or R skills for statistical analysis - Knowledge of paid social and paid search platform APIs - Genuine interest in what makes creative content perform WHAT WE VALUE - Curiosity – you try different angles and attribution methods to uncover the real story - Healthy skepticism – you question platform-reported numbers and dig deeper to find ground truth - Speed – you can quickly turn around analyses when the creative team needs feedback - Partnership – you work well with marketers, creatives, and product teams who may not be as data-fluent Additional Notes: Applicants must be eligible to work in the US. COMPENSATION PERKS & BENEFITS FOR FULL-TIME EMPLOYEES - Company Equity Package - Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) - 11 Paid Holidays + Unlimited PTO & Sick Time - Creative Education Stipend - Generous Commuter Allowance - In-Office Lunch (5 days per week)