What are the responsibilities and job description for the Senior Data Scientist, Growth position at Suno?
About Suno
At Suno, we are building a future where anyone can make music. You can make a song for any moment with just a few short words. Award-winning artists use Suno, but our core user base consists of everyday people making music — often for the first time.
Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.
We are a team of musicians and AI experts, including alumni from Spotify, TikTok, Meta and Kensho. We like to ship code, make music and drink coffee. Our company culture celebrates music and experimenting with sound — from lunchroom conversations to the studio in our office.
About the Role
As our first Growth Data Scientist, you'll establish and lead our growth analytics function, playing a foundational role in shaping Suno's growth strategy from the ground up. You'll work at the intersection of data science, analytics, and growth optimization, partnering closely with growth, product, and marketing teams to accelerate user acquisition and enhance user retention. This role combines deep analytical expertise with strategic thinking to unlock growth opportunities across the entire user journey, with significant influence on both paid marketing and product-led growth. This role is perfect for someone who thrives in open-ended and high-responsibility environments and is excited about the challenges and opportunities of joining an early-stage startup.
Check out our Suno version of the job here!
What You’ll Do
Drive growth strategy through rigorous analysis of both product usage patterns and marketing channel performance
Design and analyze experiments across product features and marketing campaigns to optimize user acquisition, activation, and retention
Develop and maintain attribution models to understand the effectiveness of various growth channels and optimize marketing spend
Build predictive models for user behavior, including conversion propensity, churn likelihood, and lifetime value
Partner with data engineering to ensure robust data collection and transformation for growth analytics
Partner with product and engineering teams to execute and prioritize growth projects
Translate complex analyses into clear, actionable recommendations for stakeholders across product, marketing, and executive teams
What You’ll Need
5 years experience in data science, with specific experience in growth and paid / performance marketing
Strong quantitative foundation and experience in statistical modeling
Expertise in experimental design, with demonstrated experience running both product and marketing experiments
Worked closely on defining and measuring growth, onboarding, and retention metrics
Advanced proficiency in SQL and Python for data analysis, statistical modeling, and automation
Excellent communication skills and experience working across multiple functions to influence key decisions
A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning
Additional Notes : Applicants must be eligible to work in the US.
Compensation
The annual salary / OTE range for the target level for this role is $170,000 - $230,000 target equity benefits (including medical, dental, vision, and 401k)
Benefits
Healthcare for you and your dependents, with vision and dental
401k with match
Generous commuter benefit
Flexible PTO
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Salary : $170,000 - $230,000
