Senior Data Scientist - Creator Business Analysis

The Marketplace team builds Spotify's content platform and creator products. Our content platform ingests, understands, and safeguards the world's audio. Our creator products - Spotify for Artists, Soundtrap, and SoundBetter - enable artists and their teams to create music and connect with collaborators, in an effort to grow and monetize their audiences.
As one of the teams within Marketplace, Creator Business Analysis partners closely with R&D. We are responsible for ensuring our teams build the highest value products to deliver back towards the music industry. We do this by evaluating new and emerging business ideas, business models and pricing strategies. As a Senior Data Scientist on our team, you will help analyze economic, product and business problems using analytics. You will tackle complex problems in order to develop a behavioral understanding of customer needs, as well as to forecast and predict the value that our tools deliver. In doing so, you will have a lasting impact on bringing Spotify’s marketplace vision to life.

What you'll do

• Apply understanding of advanced statistical modeling to provide an opinion on future trends in music and what they mean for Spotify.
• Identify the most impactful business opportunities for product development based on market needs, and execute on them diligently and inventively.
• Partner closely with other data scientists and data engineers to help inform, build and test hypotheses, delivering insights to fuel our products.
• Define metrics and utilize dashboards to help measure the health of our initiatives.
• Work closely with cross-functional teams of researchers, product owners, engineers, designers, and others who are passionate about our creator marketplace.
• Mentor other data scientists while engaging in leadership opportunities within the larger data science community across Spotify.
• Be an advocate of data-informed decision-making, providing recommendations on product performance and experience.

Who you are

• At least 4+ years of proven success working with sophisticated statistical methods and machine learning in a similar data science capacity.
• Substantial experience in product analytics, including crafting success metrics, running power analyses, resolving statistical significance, and presenting findings with clear product recommendations or implications.
• Hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, and/or Tableau.
• Previous experience collaborating closely with teams of data scientists and data engineers building machine learning tools in production and at scale.
• A skilled communicator who values building trusted relationships with partners and has the ability to communicate complex topics in straightforward terms.
• A compelling storyteller who can influence real world product or feature decisions and communicate in succinct and inspiring ways to audiences with varied data science knowledge.
• Comfortable working with ambiguity and easily able to collaborate 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 345 million users.