Spotify

Data Scientist II – Platform Mission

Spotify

full-time

Posted on:

Location Type: Hybrid

Location: StockholmSweden

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About the role

  • Partner with Insights Leads and senior data scientists to design and build performance metric frameworks.
  • Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions.
  • Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact.
  • Scope, prioritize, and execute projects including A/B tests and other experimentation approaches.
  • Apply statistical and causal inference methods to evaluate product changes for internal and external users.
  • Create compelling data stories through visualizations and reporting that influence decision-making across the Alliance.
  • Grow into a strategic analytical partner by taking on increasingly complex data challenges.

Requirements

  • You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action.
  • You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact.
  • You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies.
  • You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large-scale data technologies.
  • You care about building reliable metrics and helping teams make informed decisions using trustworthy data.
  • You have experience collaborating with engineers, product managers, and cross-functional partners.
  • You are curious, adaptable, and excited to grow your craft over time.
Benefits
  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
statistical techniquescausal inferenceA/B testingdata explorationdata storytellingdata visualizationPythonRSQLlarge-scale data technologies
Soft skills
communicationcollaborationcuriosityadaptabilitystrategic thinkingproblem-solvinginsight developmentproject prioritizationinfluencedecision-making