Marketing Data Scientist

Join Suno's rapidly growing marketing team as a Marketing Data Scientist. In this role, you will be the analytical partner driving smarter acquisition decisions, owning the data that informs channel performance, creative effectiveness, and budget allocation. You will design and analyze marketing experiments, build attribution models, and ensure data accuracy. This is not a reporting role; you will actively shape budget spending, test hypotheses, and solve complex problems. If you are passionate about data and want to help millions discover Suno, this is the perfect opportunity for you.

• Conception et analyse d'expériences marketing, y compris la conception de tests A/B et d'essais d'incrémentalité.
• Responsabilité de la modélisation d'attribution, y compris la construction et la maintenance d'attributions multi-touch.
• Analyse des performances créatives et des économies d'abonnés, y compris la surveillance de la LTV, de la rétention et des périodes de remboursement.
• 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
• 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
• Ownership mentality – You take pride in data quality and don't pass the buck when numbers don't add up
• Genuine interest in what makes creative content perform
• Python or R skills for statistical analysis
• Knowledge of paid social and paid search platform APIs
• Familiarity with mixed media modeling (MMM)
• Background in consumer subscription businesses (bonus if you've seen a team scale from startup to growth stage)
• Experience building custom attribution models or working with attribution tools