Senior Data Scientist, Innovation

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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The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
This role is part of a new product innovation team that is responsible for identifying user needs across global markets and building new product offerings to meet them. As a Senior Data Scientist, your role is to drive insights work to inform product innovation in an ambiguous space, building a deep understanding of users' problems and turning data into insights to inform and influence the development of new products.
Together with your teammates (other data scientists and user researchers), you will help drive our ambitious goals, driving the next phase of Spotify's meteoric growth!

What You'll Do

  • Perform analysis on large sets of data to extract practical insights that will help to prioritise product, platform, and business decisions
  • Tackle problems and bring valuable insights to product teams by applying math and a range of statistical techniques
  • Design and conduct A/B tests to drive iterative improvement to both user and product metrics through efficient experimentation

Who You Are

  • 5+ years of professional experience in data science or related fields
  • Understanding of product development, and how to influence it with data analysis
  • You are a storyteller, a communicative person that values building positive relationships with colleagues and team members and have the ability to explain sophisticated topics in simple terms
  • You have strong technical skills in data manipulation and extraction (strong SQL knowledge), data analysis and model prototyping and productionisation (Python, R or similar)Have a sound understanding of statistics
  • You’re a self-starter - you can independently drive a team’s work forward, finding and exploiting opportunities where data science can impact our product/business objectives
  • You are comfortable running the full lifecycle of a DS project, from ambiguous needs and stakeholders to data preparation, analysis, recommendations and beyond
  • Knowledge in segmentation, metric setting and experience working with user research is a plus

Where You’ll Be

  • We are a distributed workforce enabling our band members to find a work mode that is 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 time zone for collaboration
  • We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
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: A/B testing Data analysis Engineering Mathematics Prototyping Python R R&D Research SQL Statistics Streaming

Perks/benefits: Career development

Region: Europe
Country: United Kingdom
Job stats:  35  4  0
Category: Data Science Jobs

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