Senior / Staff Data Scientist, Mobile Consumer Create

the team uses to define and measure success Contribute to building strong data foundations as part of our awesome data science team What You'll Need Must-Haves 6–8+ years of experience in data science in consumer tech and mobile apps Advanced proficiency in SQL, Python, and statistical modeling Experience running experiments end-to-end, from design through analysis to shipping decision A user-centric, product-first mindset Excellent communication and collaboration A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning Proficiency with and excitement about using and building AI tools Nice-to-Haves Musician or creative hobbyist — genuine empathy for the people using the product Experience partnering with early-stage or 0-to-1 product teams Familiarity with mobile-specific analytics and attribution tooling Work Location Policy 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 Notes Applicants must be eligible to work in the US.

Perks &

Benefits for Full-Time Employees 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.

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