Platform Data Science Lead

2 days ago


Stockholm, Stockholm, Sweden Spotify Full time
About the Role

We're seeking a highly experienced Data Scientist to join our Platform Mission team at Spotify. As a Staff Data Scientist, you will be responsible for driving data-informed decisions for our platform infrastructure. You will analyze large datasets to identify bottlenecks and propose solutions to improve platform performance. Additionally, you will develop recommendations to optimize Spotify's platform performance, reliability, and scalability.

This role requires strong analytical and problem-solving skills, as well as excellent communication and presentation skills. You will work closely with cross-functional teams to ensure that our platforms are efficient, scalable, and aligned with user and organizational needs. If you have a passion for data science and want to make a meaningful impact on a global scale, we encourage you to apply.

Key Responsibilities
  • Analyze large datasets to identify bottlenecks and propose solutions to improve platform performance.
  • Develop recommendations to optimize Spotify's platform performance, reliability, and scalability.
  • Collaborate with engineering and product teams to integrate data science insights into the development of Spotify's platforms.
  • Define and measure key performance metrics for platform reliability, scalability, and efficiency.
  • Partner with leadership to identify high-impact opportunities and prioritize data science projects that drive platform innovation.
  • Serve as a leader and trusted advisor for data science applications in platform development.
  • Communicate complex technical findings to diverse stakeholders, including executives and non-technical teams.

What We Offer
A unique opportunity to work on complex technical challenges at Spotify.The chance to collaborate with cross-functional teams to drive platform innovation.A competitive compensation package.A comprehensive benefits program.The opportunity to work from Stockholm or London.

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