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SunoSuno

Senior / Staff Data Scientist, Growth Monetization

Leads data science for growth and monetization, shaping pricing, packaging, conversion, retention, and new revenue models. Requires 6–8+ years in data science or product analytics, advanced SQL and Python, rigorous experimentation experience, and strong cross-functional influence.

About the job

Responsibilities

  • Drive monetization strategy through data science, including subscription conversion, churn, retention, pricing, packaging, paywalls, offers, and revenue models for new business bets.
  • Design and run statistically rigorous experiments end to end, derive insights, and make strategic recommendations.
  • Build data foundations for new business lines, including metrics, funnels, and unit economics.
  • Serve as the lead data scientist for a product area while collaborating with product, engineering, design, and the broader data science team.
  • Contribute to strong data foundations across the centralized data science organization.

Requirements

  • 6–8+ years of experience in data science or product analytics, ideally owning a revenue or growth area.
  • Advanced proficiency in SQL, Python, and statistical modeling.
  • Extensive experimentation experience with statistical rigor.
  • Hands-on experience with monetization problems such as conversion funnels, churn and retention, pricing and packaging, or new product-line economics.
  • Broad data science toolkit and strong judgment in selecting appropriate methods.
  • Ability to work effectively in ambiguous environments and across product, engineering, and design.
  • Strong stakeholder influence and cross-functional collaboration skills.

Nice-to-haves

  • Experience monetizing multiple product types, including consumer and business, self-serve and sales-assisted, or subscription and usage-based products.
  • Experience taking a new product or business line from zero to initial revenue.
  • Hands-on use of AI in day-to-day data science work, including agents, prompting, or small tools.
  • Interest in music or creative tools.

Compensation and Benefits

  • Annual base salary of $220,000–$320,000, plus target equity and benefits.
  • Company equity package.
  • 401(k) with 3% employer match and Roth 401(k).
  • Medical, dental, and vision insurance, with PPO, HSA, and FSA options.
  • 11 paid holidays, unlimited paid time off, and sick time.
  • 16 weeks of paid parental leave.
  • Creative education stipend.
  • Commuter allowance.
  • In-office lunch.

Skills

SQL, Python, Statistical Modeling, Experimentation, Product Analytics, Monetization, Pricing, A/B Testing, Data Science, Data Foundations

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