Data Scientist - Content Platform Catalog

London

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Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

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Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.
Content Platform is a central enabler for the Spotify business. Our team grows Spotify’s audience by providing and maintaining a complete, available, and enriched catalog of music, podcasts, videos and more. Content Platform’s catalog data powers Spotify experiences from Artist pages in the app, search and recommendations, human playlist curation, Spotify for Artists, and our music industry-facing strategy.
We are looking for a Data Scientist to conduct analysis of our audio catalogs. As a Data Scientist, you will develop a foundational understanding of what it means to build an enriched and complete audio catalog, measure how and when the catalog is consumed, and identify the causal impact of improving our catalog’s quality on key business metrics. You will collaborate closely with cross-functional colleagues and use these insights to drive product and business strategies that impact the roadmaps of product teams.
A successful candidate should love product insights and be deeply curious. You should have a strong background in statistics & experimentation, metrics & data creation, and data visualization skills, as well as possess excellent communication skills to interface between technical and product teams!

Who You Are

  • Proven experience building data science solutions.
  • Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field. PhDs welcome.
  • You are experienced in programming in at least one language (Python, R, Matlab, etc.) and fluent in SQL. BigQuery experience is a plus.
  • Experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
  • Experience visualizing data and/or building dashboards.
  • 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.
  • Bonus points for modeling and statistical knowledge, such as forecasting, AB-testing, or statistical modeling and causal inference.

What You'll Do

  • Contribute to the development of the Product Insights function and the wider analytics community at Spotify.
  • Work closely with squads of engineers, product managers, and other data scientists to enrich and understand the content catalog.
  • Define the metrics we use to measure the success and health of products, and track them through dashboards.
  • Create insights from large sets of data that will help drive product, design decisions and business performance.
  • Communicate insights and recommendations to partners across Spotify.
  • Be an advocate for data-informed decision-making, making recommendations about the product performance and product experience available to the Marketplace organization.
  • Create insights based on huge amounts of data using cutting edge data science tools and methodologies.
  • Work with distributed teams across multiple offices and timezones.

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 EMEA 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 Central European and GMT time zones for collaboration and ask that all be located that time zone.


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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: BigQuery Causal inference Computer Science Data visualization Economics Mathematics Matlab Python R SQL Statistical modeling Statistics Streaming Testing

Region: Europe
Country: United Kingdom
Job stats:  44  6  0
Category: Data Science Jobs

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