Senior Data Scientist, SoundBetter

New York, NY

Applications have closed
Spotify logo

Posted 7 months ago

Spotify is looking for a Senior Data Scientist to join the SoundBetter team – a services marketplace designed to connect the music industry, open new opportunities for collaboration, and give all Creators access to the resources they need to realize their vision. Come join us!
As a Senior Data Scientist on the SoundBetter team you will help build the technology that allows Spotify to continue enabling musicians to collaborate, accounting for a complex set of artist needs, preferences, and goals. In doing so, you will have a proven impact on bringing Spotify’s two-sided marketplace vision to life.

What You'll Do

  • Perform analysis and research on large sets of data to extract insights that will help drive Spotify’s roadmap across the SoundBetter marketplace, from strategy to execution.
  • Take on data projects from end to end that help us better understand and improve the SoundBetter two-sided marketplace, especially considering the goals and needs of service providers.
  • Partner closely with the engineers to help inform, build and test the models that fuel our products.
  • Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company who are passionate about our marketplace.
  • Define the metrics we use to measure the health of initiatives and track them through dashboards.
  • Strategize with business, product, and marketing leadership on potential opportunities and supply the insights for the team to make data-driven decisions.
  • Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.

Who You Are

  • You have a deep understanding of statistics, a strong business sense, and sound understanding of marketplace dynamics.
  • 4+ years of demonstrated ability in a similar data scientist role.
  • Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
  • Significant experience with A/B testing, crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
  • Previous experience working with a team of engineers and data engineers building machine learning tools in production and at scale.
  • Your toolkit is diverse, from coding skills like Python or R to analytics tools experience, such as SQL.
  • Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
  • You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
  • Comfortable working with distributed teams across multiple offices and timezones.
You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 320 million users.
Job tags: Economics Machine Learning Marketing Python R Research SQL
Job region(s): North America
Job stats:  34  7  0

More AI/ML/Data Science position highlights