Senior Data Scientist - Forecasting & Data


Full Time Senior-level / Expert
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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.
We are looking for an experienced data scientist with a strong business background. You will be part of a small but growing team of data scientists and analytics engineers that specializes in predicting the business outlook for the Spotify Freemium business. This is a highly impactful role where you will be taking ownership of the subscriber forecast, working closely with senior business partners to model the outlook of the Spotify subscriber base leveraging the in-house forecasting system. You will also own and develop a number of core dashboards supporting the forecast and enabling in-depth performance monitoring across the business.

What You'll Do

  • Own the subscriber forecast including modelling the base outlook, estimating the impact of new business initiatives and project manage the wider process
  • Work with analytics engineers in the team to further develop the in-house forecasting system
  • Analyse and explore alternative approaches to current methodologies and drive improvements to forecast accuracy and execution
  • Own and develop dashboards over core business metrics and how they track against the company outlook

Who You Are

  • Expertise in relevant quantitative subject such as Finance, Computer Science, Statistics or Econometrics
  • At least 5+ years of Data Science work experience, a background with forecast/prediction modeling or similar is a plus
  • Experience communicating data heavy insights and complex models to senior business stakeholders. Both verbally and through visual communication such as slides.
  • Comfortable across the data science tech stack (eg. SQL based databases, writing and reading code, spreadsheets, visualising data)

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 with a community of more than 345 million users.
Job region(s): Europe
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