Senior Data Scientist - Marketing

Amsterdam

Full Time Senior-level / Expert
Spotify logo
Spotify
Apply now Apply later

Spotify is seeking a Senior Data Scientist to build advanced statistical models to quantify the impact of our marketing spend. You’ll play a key role in expanding Spotify’s marketing measurement abilities, and be a key senior mentor for others on the team. The role reports into the Marketing Analytics team lead and there will be significant cross-functional collaboration. In addition, you’ll have the opportunity to leverage Spotify’s world-class user data infrastructure and collaborate with a global community of hundreds of data scientists.

What You'll Do

  • Work with other senior data scientists on the team leveraging a range of approaches from statistical / econometric models to machine learning to understand the causal effect of our marketing spend on KPIs like users, consumption, and brand metrics 
  • Help definite experimentation roadmap based on model results creating a flywheel of efficiency gains for our spend 
  • Work with business partners to define priorities, approaches and business requirements for data science solutions
  • Deliver data science products to help optimize marketing spend, maximizing our returns
  • Translate complex problems and solutions to all levels of the organization
  • Drive innovation of the statistical and machine learning methodologies and tools used by the team

Who You Are

  • Master or PhD degree with a specialization in Statistics, Computer Science, Data Science, Economics, or another quantitative field
  • 7+ (or 3+ with PhD) years of combined experience in advanced analytics in industry or research
  • Expert-level knowledge of statistical methods and machine learning
  • You have the technical competence to perform advanced analytics via efficiently working with large datasets, and the software engineering skillset to build data science applications
  • Advantageous if you have experience with large datasets related to tracking marketing campaigns, and are familiar with industry standard modeling approaches like MMM and MTA

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
Job stats:  11  0  0
  • Share this job via
  • or

Explore more AI/ML/Data Science career opportunities