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Suno (suno.com)

Senior Data Scientist, Product

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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.

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.

Check out the Suno version of the job here!


About the Role

As a founding member of our data science team, you'll be instrumental in building our data science function from the ground up. You'll have the opportunity to make a significant impact across the entire organization by running impactful experiments, defining key metrics, and uncovering crucial insights into all areas of our product and users. 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.

What You’ll Do

  • Help shape our data strategy and processes from the ground up by establishing best practices that make us thoughtfully data-driven

  • Design and run experiments to drive key product decisions and shape our experimentation framework as we grow

  • Generate crucial, actionable insights into our product and users that shape company strategy

  • Collaborate closely with engineering, product, and leadership teams to foster healthy data-driven practices and culture

  • Continuously learn and adapt to new tools and situations in our fast-paced (and fun!) environment

What You’ll Need

  • 5+ years experience in a quantitative role, working in highly ambiguous environments, preferably as an early data scientist at a fast-growing consumer product company

  • Strong analytical and technical skills, with the ability to translate complex data into clear, actionable insights using SQL, Python, data visualization tools, and statistical analysis

  • Experience designing and running rigorous experiments, deriving clear insights, and making impactful product recommendations 

  • 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. 

Benefits

  • Healthcare for you and your dependents, with vision and dental

  • 401k with match

  • Generous commuter benefit

  • Flexible PTO

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

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