Suno (suno.com) Logo

Suno (suno.com)

Marketing Data Scientist

Reposted 16 Days Ago
In-Office
New York, NY
140K-200K Annually
Mid level
In-Office
New York, NY
140K-200K Annually
Mid level
As a Marketing Analyst, you'll design and analyze marketing experiments, manage attribution models, and provide insights into creative performance and subscriber economics to enhance budget decisions.
The summary above was generated by AI
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

The annual salary range for this role is $140K – $200K + target equity + benefits (including medical, dental, vision, and 401k)


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.

Similar Jobs

12 Days Ago
Easy Apply
Hybrid
Easy Apply
160K-220K Annually
Senior level
160K-220K Annually
Senior level
Healthtech • Information Technology • Software • Telehealth
Lead marketing measurement and experimentation to quantify attribution and incrementality, optimize ad platforms and CRM, build performance data assets, analyze lifecycle engagement, and communicate insights to influence marketing strategy and spend allocation.
Top Skills: PythonRSQL
3 Days Ago
Hybrid
162K-201K Annually
Senior level
162K-201K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Principal Associate Data Scientist, you'll build and manage machine learning models for marketing efficiency, translating business goals into data solutions and collaborating with stakeholders.
Top Skills: Machine LearningPythonSQLStatistical Modeling
13 Days Ago
In-Office
Seattle, WA, USA
285K-380K Annually
Senior level
285K-380K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
As a Data Scientist in Marketing, you will enhance AI-driven marketing strategies, collaborate with teams to develop metrics, analyze marketing data, and recommend improvements for user engagement.
Top Skills: Causal AiData Analytics SystemsMarketing AnalyticsUser Segmentation

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account