Data Scientist, Company Planning & Execution

Job summary

Responsibilities

As a Data Scientist on CPE, you'll sit at the intersection of data, strategy, and operations. You'll bring clarity to complex questions by turning operational and strategic information into clear stories, recommendations, and decision frameworks that help leaders and teams act faster and smarter.

• Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences.
• Apply analytical techniques — including statistical models and machine learning — to identify trends and generate insights that improve how we work.
• Build and maintain the data models, pipelines, and dashboards that provide visibility into how Spotify plans and executes.
• Develop structured narratives and recommendations — not just charts, but the "why" and "so what" — in our semi-annual Planning and Execution Insight reports and recurring…
• Explore how AI and automation can make insights faster to produce and easier to access across the company.

What they're looking for

• Curious about how organisations work — not just the data, but the decisions and systems behind it.
• 5+ years of experience with a quantitative background in science, economics, engineering, or a related field.
• Strong interpersonal skills and comfortable working with multiple stakeholders across levels and functions.
• Able to take messy, complex datasets and turn them into clear recommendations and stories that land with non-technical audiences.
• Proficient in SQL and Python, comfortable in BigQuery, and experienced with tools like dbt, Tableau, or Looker.

Tech stack

• SQL
• Python
• BigQuery
• dbt
• Tableau
• Looker