Senior Data Scientist, Music Expression

The Music Expression team is focused on enabling creative expression through and around music by artists, aspiring creators, and fans. Our products are used at scale — over 1,000,000 active artists in Spotify for Artists, and more than 406,000,000 listeners. We’re looking for a Senior Data Scientist to join our area. In this role, you will partner with our product teams to build the technology that makes our mission a reality by helping us to get to know our business better, understand what creators and listeners like, and help them create and find the right content.
You will work on defining a quantitative strategy and a system of metrics for our area, make sure we have the right instrumentation and data pipelines and set up and maintain monitoring dashboards. You will dive deep into our existing data to develop a behavioral understanding of our customers, as well as to forecast and predict the value that our tools & formats deliver to them & Spotify. You will work on metadata and features annotation that will help us understand the content being created better and make it easy to build ML models around it. In doing so, you will have a proven impact on making Spotify a platform where creative expression shines.
As part of the Product Insights team, you will partner with engineers, product teams, and designers to help us define the next generation of music expression products. You’ll also be connected to the broader Spotify insights community to expand the influence of your team's work.

What you'll do

• Gain a deep understanding of how our tools & formats influence creator & user behavior by extracting insights from rich datasets to drive the Music Expression roadmap.
• Help identify the most impactful opportunities for product development based on creator's & listeners' needs, and execute on them diligently and resourcefully.
• Apply understanding of advanced machine learning practices to enhance product performance.
• Partner closely with the other data scientists and data engineers to help inform, build and test hypotheses to deliver actionable insights to fuel our products.
• Define the metrics we use to measure the health of initiatives and track them through dashboards.
• 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.
• Mentor and coach data scientists and tackle leadership opportunities within the larger data science community.
• Be an advocate for data-informed decision-making, making recommendations about the product performance and product experience available to the Music organization.

Who you are

• 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 advanced statistical methods and machine learning.
• Significant experience with product analytics, including 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 data scientists and data engineers building machine learning tools in production and at scale.
• You have hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau.
• 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 time zones.

Where you'll be

• We are a distributed workforce enabling our band members to find a work mode best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here
• Working hours? We operate within the Eastern Standard time zone for collaboration

Spotify is an equal opportunity employer. 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 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This role is not eligible for hire in Colorado, USA.