Associate Data Scientist - Freemium Analytics


Full Time Mid-level / Intermediate
Spotify logo
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!
Apply now Apply later

The Freemium Analytics team is part of the core business strategy organization for Spotify’s Free and Premium business. Now we’re looking for multiple new band members to help shape the strategy and direction of Spotify as we grow to more 365M users and 165m subscribers around the globe.
At your fingertips, you’ll have access to all of the data Spotify has to offer and will get the opportunity to be creative with how you derive insights and strategies from that. Above all, your work will impact the way the world experiences music and podcasts!
You will work with a distributed team of world-class analysts, data scientists, business leaders, marketers, and engineers. We are all passionate about what we do and move forward with high impact projects at a high pace. Learning and improving is part of our daily routine, and you will be free to develop your skills and ways of working.

What You'll Do

  • Work closely with business partners to understand and model the change they are driving to help them discover and understand new opportunities for growth.
  • Build scalable data pipelines, systems and dashboards to facilitate business performance tracking and forecast future growth.
  • Create and communicate impactful recommendations that improve our product offering or user messaging.
  • Design and execute comprehensive tests, making sure that we track all relevant metrics and that we’re learning at every step along the way.

Who You Are

  • At least 1-2+ years of professional experience synthesizing insights from data using tools such as Python, SQL or R. Experience with distributed systems (Redshift, Hadoop, BigQuery) a plus.
  • Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as the data!
  • Have experience collaborating with partners to measure the impact of business/marketing initiatives and presenting those findings in coherent recommendations.
  • Comfortable working on a globally distributed team (with occasional international travel).

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 365 million users.
Job region(s): Europe
Job stats:  29  9  0
  • Share this job via
  • or

Explore more AI/ML/Data Science career opportunities