Senior Data Scientist, Learning and Development

5 days ago


Stockholm, Stockholm, Sweden Spotify Full time

About the Role

We are seeking a highly entrepreneurial and business-savvy Senior Data Scientist to join our team at Spotify and help drive the exploration and execution of learning as a new opportunity for the company.

This is a phenomenal role for someone who wants to work on a truly innovative project and have a significant impact on the company's growth trajectory.

As a data scientist in this team, you will partner with the full cross-functional team to help with research, data modeling, and data-informed decision making related to building the product and driving impact for users, creators, and the business.

This is a fantastic opportunity to join our fast-paced team where you will get the chance to wear multiple hats and contribute to the product research and business analytics efforts to help craft and execute the product roadmap.

Key Responsibilities

  • Help build out the insights foundations that will allow us to gather conclusive evidence on the trajectory and viability of learning as an opportunity for Spotify. This includes instrumentation all the way through to analysis as well as understanding the learning space from multiple angles such as user, UX, content, marketing, creator, and business perspectives to help inform decision making.
  • Develop business intelligence-, growth model-, and product metrics framework.
  • Perform analysis on large sets of internal data to extract practical insights that will help drive product, platform, and business decisions.
  • Design and conduct A/B tests to generate insights and drive impact across the entire learning product.
  • Build dashboards, data pipelines, and recurring reporting results, empowering business and product decision making.
  • Develop models which power on- and off-platform promotion of learning-based content.
  • Help develop interest graph and content demand models for the content powering ML recommendations for users.
  • Communicate data-driven insights and recommendations to key partners.
  • Work closely and embedded with cross-functional teams.


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