Growth Monetization Data Scientist — Pricing & Revenue

Forerunner; New York (NY); On-site; USD 220,000 - 320,000; Full time

Benefits offered by this job

Company equity

401(k) with match

Medical, dental, vision

Paid Holidays

Parental leave

Education stipend

Commuter allowance

In-office lunch

Job summary

Suno is building the world's first creative entertainment platform where music is accessible to everyone. As a Data Scientist on Growth Monetization, you’ll shape pricing, packaging, conversion, and retention for our subscription and new revenue bets.

You’ll work across product, engineering, design, and the data science team to grow revenue and build scalable data foundations. Ideal candidates have 6–8+ years in data science or product analytics, strong SQL/Python, and hands-on monetization

Qualifications

• 6-8+ years in data science or product analytics roles.
• Advanced proficiency in SQL, Python, and statistical modeling.
• Deep experimentation experience with end-to-end design and interpretation.
• Hands-on monetization experience (conversion funnels, pricing, packaging, retention).
• Broad DS toolkit and ability to choose the right approach.

Responsibilities

• Drive all monetization initiatives, from subscription conversion to revenue models for new bets.
• Design and run experiments across pricing, packaging, paywalls, offers, and other revenue surfaces.
• Build data foundations for new business lines: metrics, funnels, unit economics from day one.
• Lead DS for your product area, collaborating with product, engineering, and design.
• Help build a scalable model to support creator-centric monetization.
• Contribute to strong data foundations as part of the data science team.

Skills

Data science

SQL

Python

Statistical modeling

Experimentation

Monetization

Cross-functional

Ambiguity tolerance

Job description

Suno is building the world's first creative entertainment platform where music is accessible to everyone. As a Data Scientist on Growth Monetization, you’ll shape pricing, packaging, conversion, and retention for our subscription and new revenue bets.

You’ll work across product, engineering, design, and the data science team to grow revenue and build scalable data foundations. Ideal candidates have 6–8+ years in data science or product analytics, strong SQL/Python, and hands-on monetization