Data Scientist, Company Planning & Execution

Spotify
Stockholm, London
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Interpersonal skills","Stakeholder management","Communication","Analytical thinking","Storytelling"]

Use quantitative and machine learning approaches to turn Spotify’s planning and execution data into actionable insights. As part of the Company Planning and Execution team, you’ll build and maintain data models, pipelines, and dashboards, develop narratives for stakeholders, and explore how AI and automation can make insights faster and easier to access. You’ll collaborate with data scientists, engineers, PMs, and business partners across the company.

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FursaFursa
Spotify
Spotify
2 weeks ago

Data Scientist, Company Planning & Execution

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Last checked: 10 hours agoStatus: Live

Job Summary

Use quantitative and machine learning approaches to turn Spotify’s planning and execution data into actionable insights. As part of the Company Planning and Execution team, you’ll build and maintain data models, pipelines, and dashboards, develop narratives for stakeholders, and explore how AI and automation can make insights faster and easier to access. You’ll collaborate with data scientists, engineers, PMs, and business partners across the company.
Location: Stockholm, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Formulate hypotheses about how Spotify plans and delivers and communicate insights to a range of audiences.
  • •Apply analytical techniques, including statistical models and machine learning, to identify trends and generate insights that improve how the organization works.
  • •Build and maintain data models, pipelines, and dashboards that provide visibility into planning and execution.
  • •Create structured narratives and recommendations (the “why” and “so what”) for semi-annual Planning and Execution Insight reports and recurring briefings.
  • •Explore how AI and automation can make insights faster to produce and easier to access across the company.

Key Requirements

  • •5+ years of experience with a quantitative background in science, economics, engineering, or a related field.
  • •Strong interpersonal skills and comfort working with multiple stakeholders across levels and functions.
  • •Turn messy, complex datasets into clear recommendations and stories for non-technical audiences.
  • •Proficient in SQL and Python, comfortable in BigQuery, and experienced with tools like dbt, Tableau, or Looker.
  • •Experience with operational or work management data is a plus.
Experience:QuantitativeScienceEconomicsEngineeringMachine learningOperationsWork management
Skills:Interpersonal skillsStakeholder managementCommunicationAnalytical thinkingStorytelling
Tech Stack:SQLPythonBigQueryDbtTableauLookerMachine learningAIAutomationStatistical models

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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