Suno — Senior / Staff Data Scientist, Mobile Consumer Create

job posting·professional role·active

Official active full-time posting for Senior / Staff Data Scientist, Mobile Consumer Create at Suno, located in Los Angeles.

Verified facts

Official sitehttps://jobs.ashbyhq.com/suno/f99ae445-cfc9-440b-8b81-046bf071d2d7
GeographyUnited States
job board posting idf99ae445-cfc9-440b-8b81-046bf071d2d7
teamData
locationLos Angeles
senioritystaff_or_principal
departmentData
exact titleSenior / Staff Data Scientist, Mobile Consumer Create
role familydata_and_analytics
closing dateunknown
compensationdisclosed: false · parse state: not_publicly_disclosed
posting date2026-07-10
employer nameSuno
posting statusactive
workplace typeon-site
employment typefull-time
required skillsMUST-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
selection basisofficial_current_board_freshness_or_domain_critical_role
employer subtypegenerative_music_company
preferred skillsMusician 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
responsibilitiesPartner with product and engineering to shape the roadmap for Mobile Consumer Create, from early ideation through launch; Design and run experiments end-to-end that test new ways to make creation on mobile more fun and rewarding; Build analyses that surface user behavior patterns and inform how we think about and build for our consumers. Identify the "magic moments" that keep people creating, and the product changes that lead to more of them; Establish the metrics and frameworks the team uses to define and measure success; Contribute to building strong data foundations as part of our awesome data science team
work authorizationApplicants must be eligible to work in the US.
education requirementsunknown

Current

posted bySuno 2026-07-10now

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