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Senior Data Scientist Content PlatformSpotify
22 days ago
  • LevelSenior
  • ProfessionsData Scientist, Data Visualiser, Data Engineer
  • TypeFull Time
  • LocationLondon, United Kingdom

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Description

We are looking for a Senior Data Scientist to join the Content Platform Insights team. Content Platform is a central enabler for the Spotify business. We deliver a complete, available and enriched catalog of music, podcasts, videos and more. We provide the knowledge graph that accumulates differentiated understandings of creators, content, their attributes and their relationships. We ensure we can readily moderate and control the catalog to ensure a safe and trusted experience for consumers and to keep our platform free of infringement.
The successful candidate will join The Cherry PI squad, which focuses on understanding the composition, growth, cost and value of our music, podcast and audiobook catalogues. We partner with the engineering teams who build, maintain and extend those catalogues to explore opportunities and risks, assess performance and set goals.
What You´ll Do
  • Recent and current project work by our squad has included:
  • Identifying low-value music and podcast content
  • Quantifying the financial impact of errors by music vs. noise categorisation systems
  • Exploring the drivers of music and music video ingestion speed
  • Modeling which of our tracks are ‘background music’ or designed for children
Who You Are
  • You have 5+ years of experience building data science solutions.
  • Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
  • You have the technical competence to perform more advanced analytics
  • Coding skills (such as Python, R or similar)
  • Analytics tools experience (such as SQL, Pandas, R, Spark or similar)
  • Data visualisation tools (such as Tableau, Looker, Qlik Sense, matplotlib, ggplot2 or similar)
  • You have extensive experience performing analysis with large datasets
  • You have experience scoping out problems too large to handle with a single person, and delegating tasks to junior colleagues
  • You are an ambitious person who’s capable of tackling loosely defined problems and driving strategic impact
  • You are a communicative person that values building positive relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms
  • You have experience mentoring more junior data scientists to set them up for success
  • You are comfortable with ambiguity
Where You´ll Be
  • This role will be based out of our London or Stockholm office.
Our global benefits
  • Extensive learning opportunities, through our dedicated team, GreenHouse.
  • Flexible share incentives letting you choose how you share in our success.
  • Global parental leave, six months off - fully paid - for all new parents.
  • All The Feels, our employee assistance program and self-care hub.
  • Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
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 500 million users.

Skills Required

  • Data Science
  • Data Visualisation
  • Python

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