Senior Data Scientist - Commerce

London

Full Time Senior-level / Expert
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Spotify
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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.
When you think of commerce at Spotify, you might think of the millions of subscribers and their transactions from purchasing Premium subscriptions. But as we deliver on our mission to connect creators with fans and empower creators to live off of their art, we are diversifying revenue streams in many areas. From enabling fans to purchase merchandise from their favourite artists, to enabling podcasters to monetize ad space in their content - all of this will be powered by our commerce platform.
As a commerce platform team, our mission is to unlock commerce at Spotify through an outstanding platform that enables teams to quickly and safely build businesses and create user value. As a Senior Data Scientist in the product insights team, you will drive the understanding of our users and products, unearthing and communicating insights to inform the entire product development cycle, as well as being a technical lead and mentor for the team

What You'll Do

  • Impact product strategy by leading foundational analyses & experimentation initiatives to develop a deeper understanding of our user and product behaviour
  • Work with business to define priorities, approaches and business requirements for insights solutions. Work with the team to execute on these effectively.
  • Define KPI frameworks, building systems and practises that allow us to monitor progress at scale efficiently. Establish learning agendas, measurement plans and success metrics in close coordination with product teams.
  • Identify the most suitable insights methods (EDA, experimentation, causal inference, regression methods, ML etc.) to support all stages of product development cycle (from ideation to shipping/ tweaking)
  • Drive our experimentation roadmap in partnership with product development teams. Input into our experimentation tooling roadmap with requirements to help further our experimentation agenda.
  • Identify scope for mixed methods projects, partnering with user research to combine qualitative and quantitative insights into more powerful and compelling stories - understanding the what and the why. 

Who You Are

  • 5+ years of professional experience in data science or related fields.
  • You have extensive experience with technical competence to perform analytics: wrangling and querying large datasets (SQL), coding skills (R, Python), analytics & visualization libraries (e.g. pandas, tidyverse, seaborn, ggplot), visualization tools (Tableau / Looker), and experience performing analysis with large datasets in a cloud-based data processing environment, such as BigQuery or similar.
  • You are comfortable working in a UNIX environment. You can also mentor and coach these skills. You are comfortable researching and learning about new methods, tools and techniques.
  • Significant experience with product analytics and a/b testing, including crafting success metrics, running power analyses, determining statistical significance, and communicating findings with clear product recommendations or implications
  • You value building strong relationships with colleagues and partners and enjoys mentoring and teaching others. You bring passion and playfulness to your work and those around you.

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 

  • #Remote
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 345 million users.
Job region(s): Europe
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